From 5089dbfcfb3aeafa6eb2a35e5a93ccdf4378585e Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Mon, 24 Mar 2025 17:58:26 -0700
Subject: [PATCH 001/244] fix(invoke_handler.py): remove hard code

---
 litellm/llms/bedrock/chat/invoke_handler.py | 7 -------
 litellm/proxy/_new_secret_config.yaml       | 4 ++++
 2 files changed, 4 insertions(+), 7 deletions(-)

diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py
index 84ac592c41..5b02fd3158 100644
--- a/litellm/llms/bedrock/chat/invoke_handler.py
+++ b/litellm/llms/bedrock/chat/invoke_handler.py
@@ -1274,13 +1274,6 @@ class AWSEventStreamDecoder:
     def converse_chunk_parser(self, chunk_data: dict) -> ModelResponseStream:
         try:
             verbose_logger.debug("\n\nRaw Chunk: {}\n\n".format(chunk_data))
-            chunk_data["usage"] = {
-                "inputTokens": 3,
-                "outputTokens": 392,
-                "totalTokens": 2191,
-                "cacheReadInputTokens": 1796,
-                "cacheWriteInputTokens": 0,
-            }
             text = ""
             tool_use: Optional[ChatCompletionToolCallChunk] = None
             finish_reason = ""
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index fbe3471663..cf09749d81 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -9,6 +9,10 @@ model_list:
    litellm_params:
     model: gpt-4o-mini
     api_key: os.environ/OPENAI_API_KEY
+ - model_name: "bedrock-nova"
+   litellm_params:
+    model: us.amazon.nova-pro-v1:0
+
 litellm_settings:
   num_retries: 0
 

From f1a8b1984ad21705e3307b85021b63406b65d8dd Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Mon, 24 Mar 2025 21:34:18 -0700
Subject: [PATCH 002/244] fix mcp test deps

---
 .circleci/config.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 091369c147..b93a9d81e8 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -2039,6 +2039,8 @@ jobs:
             pip install "google-cloud-aiplatform==1.59.0"
             pip install "anthropic==0.49.0"
             pip install "langchain_mcp_adapters==0.0.5"
+            pip install "langchain_openai==0.2.1"
+            pip install "langgraph==0.3.18"
       # Run pytest and generate JUnit XML report
       - run:
           name: Build Docker image

From 18dfb70023a475a23f1a2406714f8b73d78a21fe Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Mon, 24 Mar 2025 21:35:29 -0700
Subject: [PATCH 003/244] mcp docs, exposing tools now live

---
 docs/my-website/docs/mcp.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 9f3343e9cd..408a70d96d 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -272,7 +272,7 @@ async with stdio_client(server_params) as (read, write):
 </TabItem>
 </Tabs>
 
-## Upcoming Features
+## Advanced Usage
 
 :::info
 

From da16cef4ba3c9ac76aeb4a998d57d731ca7ab4af Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Mon, 24 Mar 2025 21:36:02 -0700
Subject: [PATCH 004/244] Expose MCP tools

---
 docs/my-website/docs/mcp.md | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 408a70d96d..744c23644e 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -274,13 +274,6 @@ async with stdio_client(server_params) as (read, write):
 
 ## Advanced Usage
 
-:::info
-
-**This feature is not live as yet** this is a beta interface. Expect this to be live on litellm `v1.63.15` and above.
-
-:::
-
-
 ### Expose MCP tools on LiteLLM Proxy Server
 
 This allows you to define tools that can be called by any MCP compatible client. Define your mcp_tools with LiteLLM and all your clients can list and call available tools.

From a619580bf8b91613d052f6ee95d240b22ae58b29 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Mon, 24 Mar 2025 22:42:38 -0700
Subject: [PATCH 005/244] Add vertexai topLogprobs support (#9518)

* Added support for top_logprobs in vertex gemini models

* Testing for top_logprobs feature in vertexai

* Update litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py

Co-authored-by: Tom Matthews <tomukmatthews@gmail.com>

* refactor(tests/): refactor testing to be in correct repo

---------

Co-authored-by: Aditya Thaker <adityathaker28@gmail.com>
Co-authored-by: Tom Matthews <tomukmatthews@gmail.com>
---
 .../vertex_and_google_ai_studio_gemini.py     |  3 ++
 .../test_vertex_and_google_ai_studio.py       | 33 +++++++++++++++++++
 2 files changed, 36 insertions(+)
 create mode 100644 tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py

diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 9ac1b1ffc4..73215b4048 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -207,6 +207,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             "extra_headers",
             "seed",
             "logprobs",
+            "top_logprobs" # Added this to list of supported openAI params
         ]
 
     def map_tool_choice_values(
@@ -365,6 +366,8 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
                 optional_params["presence_penalty"] = value
             if param == "logprobs":
                 optional_params["responseLogprobs"] = value
+            if param == "top_logprobs":
+                optional_params["logprobs"] = value
             if (param == "tools" or param == "functions") and isinstance(value, list):
                 optional_params["tools"] = self._map_function(value=value)
                 optional_params["litellm_param_is_function_call"] = (
diff --git a/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
new file mode 100644
index 0000000000..5e870b5af3
--- /dev/null
+++ b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
@@ -0,0 +1,33 @@
+import json
+import os
+import sys
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import httpx
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../../../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
+    VertexGeminiConfig,
+)
+
+
+def test_top_logprobs():
+    non_default_params = {
+        "top_logprobs": 2,
+        "logprobs": True,
+    }
+    optional_params = {}
+    model = "gemini"
+
+    v = VertexGeminiConfig().map_openai_params(
+        non_default_params=non_default_params,
+        optional_params=optional_params,
+        model=model,
+        drop_params=False,
+    )
+    assert v["responseLogprobs"] is non_default_params["logprobs"]
+    assert v["logprobs"] is non_default_params["top_logprobs"]

From 12fdd2584135b715683fa40f82379060db4dfb64 Mon Sep 17 00:00:00 2001
From: superpoussin22 <vincent.nadal@orange.fr>
Date: Tue, 25 Mar 2025 06:44:00 +0100
Subject: [PATCH 006/244] Update model_prices_and_context_window.json (#9459)

add mistral-small for vertex_ai
---
 model_prices_and_context_window.json | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)

diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index eefa739198..3124ae2697 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -5153,6 +5153,29 @@
         "supports_function_calling": true,
         "supports_tool_choice": true
     },
+    "vertex_ai/mistral-small-2503@001": {
+        "max_tokens": 8191,
+        "max_input_tokens": 32000,
+        "max_output_tokens": 8191,
+        "input_cost_per_token": 0.000001,
+        "output_cost_per_token": 0.000003,
+        "litellm_provider": "vertex_ai-mistral_models",
+        "supports_function_calling": true,
+        "mode": "chat",
+        "supports_tool_choice": true
+    },
+    "vertex_ai/mistral-small-2503": {
+        "max_tokens": 128000,
+        "max_input_tokens": 128000,
+        "max_output_tokens": 128000,
+        "input_cost_per_token": 0.000001,
+        "output_cost_per_token": 0.000003,
+        "litellm_provider": "vertex_ai-mistral_models",
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_tool_choice": true
+    },
     "vertex_ai/jamba-1.5-mini@001": {
         "max_tokens": 256000,
         "max_input_tokens": 256000,

From 75994d0bf03347eb8b91035579027da1a3e95dc8 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Mon, 24 Mar 2025 23:15:04 -0700
Subject: [PATCH 007/244] test: improve flaky test

---
 ...odel_prices_and_context_window_backup.json | 23 +++++++++++++++++++
 tests/local_testing/test_caching.py           |  3 +++
 2 files changed, 26 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index eefa739198..3124ae2697 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -5153,6 +5153,29 @@
         "supports_function_calling": true,
         "supports_tool_choice": true
     },
+    "vertex_ai/mistral-small-2503@001": {
+        "max_tokens": 8191,
+        "max_input_tokens": 32000,
+        "max_output_tokens": 8191,
+        "input_cost_per_token": 0.000001,
+        "output_cost_per_token": 0.000003,
+        "litellm_provider": "vertex_ai-mistral_models",
+        "supports_function_calling": true,
+        "mode": "chat",
+        "supports_tool_choice": true
+    },
+    "vertex_ai/mistral-small-2503": {
+        "max_tokens": 128000,
+        "max_input_tokens": 128000,
+        "max_output_tokens": 128000,
+        "input_cost_per_token": 0.000001,
+        "output_cost_per_token": 0.000003,
+        "litellm_provider": "vertex_ai-mistral_models",
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_tool_choice": true
+    },
     "vertex_ai/jamba-1.5-mini@001": {
         "max_tokens": 256000,
         "max_input_tokens": 256000,
diff --git a/tests/local_testing/test_caching.py b/tests/local_testing/test_caching.py
index e4815f2023..30feb09f9d 100644
--- a/tests/local_testing/test_caching.py
+++ b/tests/local_testing/test_caching.py
@@ -1734,6 +1734,7 @@ def test_redis_semantic_cache_completion():
 # test_redis_cache_completion()
 
 
+@pytest.mark.flaky(reruns=3)
 @pytest.mark.asyncio
 async def test_redis_semantic_cache_acompletion():
     litellm.set_verbose = True
@@ -1761,6 +1762,8 @@ async def test_redis_semantic_cache_acompletion():
     )
     print(f"response1: {response1}")
 
+    await asyncio.sleep(2)
+
     response2 = await litellm.acompletion(
         model="gpt-3.5-turbo",
         messages=[

From 92883560f03c8044474165fa15b36f0564a1d570 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Mon, 24 Mar 2025 23:23:28 -0700
Subject: [PATCH 008/244] fix vertex ai multimodal embedding translation
 (#9471)

* remove data:image/jpeg;base64, prefix from base64 image input

vertex_ai's multimodal embeddings endpoint expects a raw base64 string without `data:image/jpeg;base64,` prefix.

* Add Vertex Multimodal Embedding Test

* fix(test_vertex.py): add e2e tests on multimodal embeddings

* test: unit testing

* test: remove sklearn dep

* test: update test with fixed route

* test: fix test

---------

Co-authored-by: Jonarod <jonrodd@gmail.com>
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
---
 .../embedding_handler.py                      |  10 +-
 litellm/main.py                               |   1 +
 .../test_embedding_handler.py                 |  43 ++++++++
 tests/llm_translation/duck.png                | Bin 0 -> 548293 bytes
 tests/llm_translation/guinea.png              | Bin 0 -> 1528863 bytes
 tests/llm_translation/test_vertex.py          |  96 ++++++++++++++++++
 6 files changed, 149 insertions(+), 1 deletion(-)
 create mode 100644 tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
 create mode 100644 tests/llm_translation/duck.png
 create mode 100644 tests/llm_translation/guinea.png

diff --git a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
index f63d1ce11e..cd3de6e526 100644
--- a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
+++ b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
@@ -226,7 +226,15 @@ class VertexMultimodalEmbedding(VertexLLM):
             else:
                 return Instance(image=InstanceImage(gcsUri=input_element))
         elif is_base64_encoded(s=input_element):
-            return Instance(image=InstanceImage(bytesBase64Encoded=input_element))
+            return Instance(
+                image=InstanceImage(
+                    bytesBase64Encoded=(
+                        input_element.split(",")[1]
+                        if "," in input_element
+                        else input_element
+                    )
+                )
+            )
         else:
             return Instance(text=input_element)
 
diff --git a/litellm/main.py b/litellm/main.py
index 1826f2df78..3d4152d634 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -3715,6 +3715,7 @@ def embedding(  # noqa: PLR0915
                     aembedding=aembedding,
                     print_verbose=print_verbose,
                     custom_llm_provider="vertex_ai",
+                    client=client,
                 )
             else:
                 response = vertex_embedding.embedding(
diff --git a/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py b/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
new file mode 100644
index 0000000000..cfd1167836
--- /dev/null
+++ b/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
@@ -0,0 +1,43 @@
+import json
+import os
+import sys
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import httpx
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../../../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.vertex_ai.multimodal_embeddings.embedding_handler import (
+    VertexMultimodalEmbedding,
+)
+from litellm.types.llms.vertex_ai import Instance, InstanceImage
+
+
+class TestVertexMultimodalEmbedding:
+    def setup_method(self):
+        self.embedding_handler = VertexMultimodalEmbedding()
+
+    def test_process_openai_embedding_input(self):
+        input_data = [
+            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
+            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
+        ]
+        expected_output = [
+            Instance(
+                image=InstanceImage(bytesBase64Encoded=input_data[0].split(",")[1])
+            ),
+            Instance(
+                image=InstanceImage(bytesBase64Encoded=input_data[1].split(",")[1])
+            ),
+        ]
+        assert (
+            self.embedding_handler._process_input_element(input_data[0])
+            == expected_output[0]
+        )
+        assert (
+            self.embedding_handler._process_input_element(input_data[1])
+            == expected_output[1]
+        )
diff --git a/tests/llm_translation/duck.png b/tests/llm_translation/duck.png
new file mode 100644
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diff --git a/tests/llm_translation/guinea.png b/tests/llm_translation/guinea.png
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Bq4@v+

literal 0
HcmV?d00001

diff --git a/tests/llm_translation/test_vertex.py b/tests/llm_translation/test_vertex.py
index da6fd4e285..d7a373d58d 100644
--- a/tests/llm_translation/test_vertex.py
+++ b/tests/llm_translation/test_vertex.py
@@ -1,3 +1,5 @@
+import base64
+import numpy as np
 import json
 import os
 import sys
@@ -25,6 +27,11 @@ from litellm.types.llms.vertex_ai import PartType, BlobType
 import httpx
 
 
+def encode_image_to_base64(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode("utf-8")
+
+
 def test_completion_pydantic_obj_2():
     from pydantic import BaseModel
     from litellm.llms.custom_httpx.http_handler import HTTPHandler
@@ -1264,6 +1271,25 @@ from typing import Dict, Any
 # from your_module import _process_gemini_image, PartType, FileDataType, BlobType
 
 
+# Add these fixtures below existing fixtures
+@pytest.fixture
+def vertex_client():
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    return HTTPHandler()
+
+
+@pytest.fixture
+def encoded_images():
+    image_paths = [
+        "./tests/llm_translation/duck.png",
+        # "./duck.png",
+        "./tests/llm_translation/guinea.png",
+        # "./guinea.png",
+    ]
+    return [encode_image_to_base64(path) for path in image_paths]
+
+
 @pytest.fixture
 def mock_convert_url_to_base64():
     with patch(
@@ -1305,3 +1331,73 @@ def test_process_gemini_image_http_url(
     # Act
     result = _process_gemini_image(http_url)
     # assert result["file_data"]["file_uri"] == http_url
+
+
+@pytest.mark.parametrize(
+    "input_string, expected_closer_index",
+    [
+        ("Duck", 0),  # Duck closer to duck image
+        ("Guinea", 1),  # Guinea closer to guinea image
+    ],
+)
+def test_aaavertex_embeddings_distances(
+    vertex_client, encoded_images, input_string, expected_closer_index
+):
+    """
+    Test cosine distances between image and text embeddings using Vertex AI multimodalembedding@001
+    """
+    from unittest.mock import patch
+
+    # Mock different embedding values to simulate realistic distances
+    mock_image_embeddings = [
+        [0.9] + [0.1] * 767,  # Duck embedding - closer to "Duck"
+        [0.1] * 767 + [0.9],  # Guinea embedding - closer to "Guinea"
+    ]
+
+    image_embeddings = []
+    mock_response = MagicMock()
+
+    def mock_auth_token(*args, **kwargs):
+        return "my-fake-token", "pathrise-project"
+
+    with patch.object(vertex_client, "post", return_value=mock_response), patch.object(
+        litellm.main.vertex_multimodal_embedding,
+        "_ensure_access_token",
+        side_effect=mock_auth_token,
+    ):
+        for idx, encoded_image in enumerate(encoded_images):
+            mock_response.json.return_value = {
+                "predictions": [{"imageEmbedding": mock_image_embeddings[idx]}]
+            }
+            mock_response.status_code = 200
+            response = litellm.embedding(
+                model="vertex_ai/multimodalembedding@001",
+                input=[f"data:image/png;base64,{encoded_image}"],
+                client=vertex_client,
+            )
+            print("response: ", response)
+            image_embeddings.append(response.data[0].embedding)
+
+    # Mock text embedding based on input string
+    mock_text_embedding = (
+        [0.9] + [0.1] * 767 if input_string == "Duck" else [0.1] * 767 + [0.9]
+    )
+    text_mock_response = MagicMock()
+    text_mock_response.json.return_value = {
+        "predictions": [{"imageEmbedding": mock_text_embedding}]
+    }
+    text_mock_response.status_code = 200
+    with patch.object(
+        vertex_client, "post", return_value=text_mock_response
+    ), patch.object(
+        litellm.main.vertex_multimodal_embedding,
+        "_ensure_access_token",
+        side_effect=mock_auth_token,
+    ):
+        text_response = litellm.embedding(
+            model="vertex_ai/multimodalembedding@001",
+            input=[input_string],
+            client=vertex_client,
+        )
+        print("text_response: ", text_response)
+        text_embedding = text_response.data[0].embedding

From b19529a46e7f7ccaaf8e707228a93802b1843d87 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 07:03:43 -0700
Subject: [PATCH 009/244] fix docker compose

---
 docker-compose.yml | 50 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)

diff --git a/docker-compose.yml b/docker-compose.yml
index 1cab80ee4c..66f5bcaa7f 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,5 +1,35 @@
 version: "3.11"
 services:
+  litellm:
+    build:
+      context: .
+      args:
+        target: runtime
+    image: ghcr.io/berriai/litellm:main-stable
+    #########################################
+    ## Uncomment these lines to start proxy with a config.yaml file ##
+    # volumes:
+    #  - ./config.yaml:/app/config.yaml <<- this is missing in the docker-compose file currently
+    # command:
+    #  - "--config=/app/config.yaml"
+    ##############################################
+    ports:
+      - "4000:4000" # Map the container port to the host, change the host port if necessary
+    environment:
+        DATABASE_URL: "postgresql://llmproxy:dbpassword9090@db:5432/litellm"
+        STORE_MODEL_IN_DB: "True" # allows adding models to proxy via UI
+    env_file:
+      - .env # Load local .env file
+    depends_on:
+      - db  # Indicates that this service depends on the 'db' service, ensuring 'db' starts first
+    healthcheck:  # Defines the health check configuration for the container
+      test: [ "CMD", "curl", "-f", "http://localhost:4000/health/liveliness || exit 1" ]  # Command to execute for health check
+      interval: 30s  # Perform health check every 30 seconds
+      timeout: 10s   # Health check command times out after 10 seconds
+      retries: 3     # Retry up to 3 times if health check fails
+      start_period: 40s  # Wait 40 seconds after container start before beginning health checks
+
+ 
   db:
     image: postgres:16
     restart: always
@@ -16,3 +46,23 @@ services:
       interval: 1s
       timeout: 5s
       retries: 10
+  
+  prometheus:
+    image: prom/prometheus
+    volumes:
+      - prometheus_data:/prometheus
+      - ./prometheus.yml:/etc/prometheus/prometheus.yml
+    ports:
+      - "9090:9090"
+    command:
+      - '--config.file=/etc/prometheus/prometheus.yml'
+      - '--storage.tsdb.path=/prometheus'
+      - '--storage.tsdb.retention.time=15d'
+    restart: always
+
+volumes:
+  prometheus_data:
+    driver: local
+  postgres_data:
+    name: litellm_postgres_data  # Named volume for Postgres data persistence
+

From 62bb7d6605a4e5a26734f203505c0bb06e0ea430 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 07:48:33 -0700
Subject: [PATCH 010/244] add vertex gemini-2.0-flash-lite

---
 ...odel_prices_and_context_window_backup.json | 22 +++++++++++++++++++
 model_prices_and_context_window.json          | 22 +++++++++++++++++++
 2 files changed, 44 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 3124ae2697..82691f3c99 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4595,6 +4595,28 @@
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash",
         "supports_tool_choice": true
     },
+    "gemini-2.0-flash-lite": {
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 8192,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 50,
+        "input_cost_per_audio_token": 0.000000075,
+        "input_cost_per_token": 0.000000075,
+        "output_cost_per_token": 0.0000003,
+        "litellm_provider": "vertex_ai-language-models",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_response_schema": true,
+        "supports_audio_output": true,
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash",
+        "supports_tool_choice": true
+    },
     "gemini/gemini-2.0-pro-exp-02-05": {
         "max_tokens": 8192,
         "max_input_tokens": 2097152,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 3124ae2697..82691f3c99 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4595,6 +4595,28 @@
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash",
         "supports_tool_choice": true
     },
+    "gemini-2.0-flash-lite": {
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 8192,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 50,
+        "input_cost_per_audio_token": 0.000000075,
+        "input_cost_per_token": 0.000000075,
+        "output_cost_per_token": 0.0000003,
+        "litellm_provider": "vertex_ai-language-models",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_response_schema": true,
+        "supports_audio_output": true,
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash",
+        "supports_tool_choice": true
+    },
     "gemini/gemini-2.0-pro-exp-02-05": {
         "max_tokens": 8192,
         "max_input_tokens": 2097152,

From 0af9a5e8d007563d6db79171f802ae10876515a4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 07:51:42 -0700
Subject: [PATCH 011/244] add gemini/gemini-2.0-flash-lite

---
 ...odel_prices_and_context_window_backup.json | 22 +++++++++++++++++++
 model_prices_and_context_window.json          | 22 +++++++++++++++++++
 2 files changed, 44 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 82691f3c99..a098e8bd7d 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4680,6 +4680,28 @@
         "supports_tool_choice": true,
         "source": "https://ai.google.dev/pricing#2_0flash"
     },
+    "gemini/gemini-2.0-flash-lite": {
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 8192,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 50,
+        "input_cost_per_audio_token": 0.000000075,
+        "input_cost_per_token": 0.000000075,
+        "output_cost_per_token": 0.0000003,
+        "litellm_provider": "gemini",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_response_schema": true,
+        "supports_audio_output": true,
+        "supports_tool_choice": true,
+        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite",
+    },
     "gemini/gemini-2.0-flash-001": {
         "max_tokens": 8192,
         "max_input_tokens": 1048576,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 82691f3c99..a098e8bd7d 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4680,6 +4680,28 @@
         "supports_tool_choice": true,
         "source": "https://ai.google.dev/pricing#2_0flash"
     },
+    "gemini/gemini-2.0-flash-lite": {
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 8192,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 50,
+        "input_cost_per_audio_token": 0.000000075,
+        "input_cost_per_token": 0.000000075,
+        "output_cost_per_token": 0.0000003,
+        "litellm_provider": "gemini",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_response_schema": true,
+        "supports_audio_output": true,
+        "supports_tool_choice": true,
+        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite",
+    },
     "gemini/gemini-2.0-flash-001": {
         "max_tokens": 8192,
         "max_input_tokens": 1048576,

From ff61ce675133df7442c91049d54b18b59ce0e0fc Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 10:17:34 -0700
Subject: [PATCH 012/244] docs: update release note with patch

---
 docs/my-website/release_notes/v1.63.14/index.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/my-website/release_notes/v1.63.14/index.md b/docs/my-website/release_notes/v1.63.14/index.md
index 9aa97b2148..aaeac639d4 100644
--- a/docs/my-website/release_notes/v1.63.14/index.md
+++ b/docs/my-website/release_notes/v1.63.14/index.md
@@ -24,6 +24,7 @@ This release brings:
 - LLM Translation Improvements (MCP Support and Bedrock Application Profiles)
 - Perf improvements for Usage-based Routing
 - Streaming guardrail support via websockets
+- Azure OpenAI client perf fix (from previous release)
 
 ## Docker Run LiteLLM Proxy
 
@@ -31,7 +32,7 @@ This release brings:
 docker run
 -e STORE_MODEL_IN_DB=True
 -p 4000:4000
-ghcr.io/berriai/litellm:main-v1.63.14-stable
+ghcr.io/berriai/litellm:main-v1.63.14-stable.patch1
 ```
 
 ## Demo Instance

From 1a58e8bfe5bfbc306d48a8a6928723f7fb4d7938 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 12:25:16 -0700
Subject: [PATCH 013/244] docs(admin_ui_sso.md): add logout url

---
 docs/my-website/docs/proxy/admin_ui_sso.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/my-website/docs/proxy/admin_ui_sso.md b/docs/my-website/docs/proxy/admin_ui_sso.md
index b7f8ddd585..36a97add4b 100644
--- a/docs/my-website/docs/proxy/admin_ui_sso.md
+++ b/docs/my-website/docs/proxy/admin_ui_sso.md
@@ -147,6 +147,10 @@ Some SSO providers require a specific redirect url for login and logout. You can
 - Login: `<your-proxy-base-url>/sso/key/generate`
 - Logout: `<your-proxy-base-url>`
 
+```bash
+PROXY_LOGOUT_URL="https://www.google.com"
+```
+
 #### Step 3. Set `PROXY_BASE_URL` in your .env
 
 Set this in your .env (so the proxy can set the correct redirect url)

From e8c4cd8c1af9532ea259951b3b15d1d111be733c Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 12:25:42 -0700
Subject: [PATCH 014/244] docs: cleanup docs

---
 docs/my-website/docs/proxy/admin_ui_sso.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/my-website/docs/proxy/admin_ui_sso.md b/docs/my-website/docs/proxy/admin_ui_sso.md
index 36a97add4b..882e3df0b2 100644
--- a/docs/my-website/docs/proxy/admin_ui_sso.md
+++ b/docs/my-website/docs/proxy/admin_ui_sso.md
@@ -147,6 +147,7 @@ Some SSO providers require a specific redirect url for login and logout. You can
 - Login: `<your-proxy-base-url>/sso/key/generate`
 - Logout: `<your-proxy-base-url>`
 
+Here's the env var to set the logout url on the proxy
 ```bash
 PROXY_LOGOUT_URL="https://www.google.com"
 ```

From 4c87084ff7bd99966a33b6337ef58a5a2f11d9b0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 14:07:14 -0700
Subject: [PATCH 015/244] UserAPIKeyAuthExceptionHandler

---
 litellm/proxy/auth/auth_checks.py            |  42 ------
 litellm/proxy/auth/auth_exception_handler.py | 130 +++++++++++++++++++
 litellm/proxy/auth/user_api_key_auth.py      |  55 +-------
 3 files changed, 136 insertions(+), 91 deletions(-)
 create mode 100644 litellm/proxy/auth/auth_exception_handler.py

diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 80cfb03de4..98685e1a7c 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -1009,8 +1009,6 @@ async def get_key_object(
         )
 
         return _response
-    except DB_CONNECTION_ERROR_TYPES as e:
-        return await _handle_failed_db_connection_for_get_key_object(e=e)
     except Exception:
         traceback.print_exc()
         raise Exception(
@@ -1018,46 +1016,6 @@ async def get_key_object(
         )
 
 
-async def _handle_failed_db_connection_for_get_key_object(
-    e: Exception,
-) -> UserAPIKeyAuth:
-    """
-    Handles httpx.ConnectError when reading a Virtual Key from LiteLLM DB
-
-    Use this if you don't want failed DB queries to block LLM API reqiests
-
-    Returns:
-        - UserAPIKeyAuth: If general_settings.allow_requests_on_db_unavailable is True
-
-    Raises:
-        - Orignal Exception in all other cases
-    """
-    from litellm.proxy.proxy_server import (
-        general_settings,
-        litellm_proxy_admin_name,
-        proxy_logging_obj,
-    )
-
-    # If this flag is on, requests failing to connect to the DB will be allowed
-    if general_settings.get("allow_requests_on_db_unavailable", False) is True:
-        # log this as a DB failure on prometheus
-        proxy_logging_obj.service_logging_obj.service_failure_hook(
-            service=ServiceTypes.DB,
-            call_type="get_key_object",
-            error=e,
-            duration=0.0,
-        )
-
-        return UserAPIKeyAuth(
-            key_name="failed-to-connect-to-db",
-            token="failed-to-connect-to-db",
-            user_id=litellm_proxy_admin_name,
-        )
-    else:
-        # raise the original exception, the wrapper on `get_key_object` handles logging db failure to prometheus
-        raise e
-
-
 @log_db_metrics
 async def get_org_object(
     org_id: str,
diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py
new file mode 100644
index 0000000000..88a94fd5b9
--- /dev/null
+++ b/litellm/proxy/auth/auth_exception_handler.py
@@ -0,0 +1,130 @@
+"""
+Handles Authentication Errors
+"""
+
+import asyncio
+from typing import TYPE_CHECKING, Any, Optional
+
+from fastapi import HTTPException, Request, status
+
+import litellm
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import ProxyErrorTypes, ProxyException, UserAPIKeyAuth
+from litellm.proxy.auth.auth_utils import _get_request_ip_address
+from litellm.types.services import ServiceTypes
+
+if TYPE_CHECKING:
+    from opentelemetry.trace import Span as _Span
+
+    Span = _Span
+else:
+    Span = Any
+
+
+class UserAPIKeyAuthExceptionHandler:
+
+    @staticmethod
+    async def _handle_authentication_error(
+        e: Exception,
+        request: Request,
+        request_data: dict,
+        route: str,
+        parent_otel_span: Optional[Span],
+        api_key: str,
+    ) -> UserAPIKeyAuth:
+        """
+        Handles Connection Errors when reading a Virtual Key from LiteLLM DB
+        Use this if you don't want failed DB queries to block LLM API reqiests
+
+        Reliability scenarios this covers:
+        - DB is down and having an outage
+        - Unable to read / recover a key from the DB
+
+        Returns:
+            - UserAPIKeyAuth: If general_settings.allow_requests_on_db_unavailable is True
+
+        Raises:
+            - Orignal Exception in all other cases
+        """
+        from litellm.proxy.proxy_server import (
+            general_settings,
+            litellm_proxy_admin_name,
+            proxy_logging_obj,
+        )
+
+        if UserAPIKeyAuthExceptionHandler.should_allow_request_on_db_unavailable():
+            # log this as a DB failure on prometheus
+            proxy_logging_obj.service_logging_obj.service_failure_hook(
+                service=ServiceTypes.DB,
+                call_type="get_key_object",
+                error=e,
+                duration=0.0,
+            )
+
+            return UserAPIKeyAuth(
+                key_name="failed-to-connect-to-db",
+                token="failed-to-connect-to-db",
+                user_id=litellm_proxy_admin_name,
+            )
+        else:
+            # raise the exception to the caller
+            requester_ip = _get_request_ip_address(
+                request=request,
+                use_x_forwarded_for=general_settings.get("use_x_forwarded_for", False),
+            )
+            verbose_proxy_logger.exception(
+                "litellm.proxy.proxy_server.user_api_key_auth(): Exception occured - {}\nRequester IP Address:{}".format(
+                    str(e),
+                    requester_ip,
+                ),
+                extra={"requester_ip": requester_ip},
+            )
+
+            # Log this exception to OTEL, Datadog etc
+            user_api_key_dict = UserAPIKeyAuth(
+                parent_otel_span=parent_otel_span,
+                api_key=api_key,
+            )
+            asyncio.create_task(
+                proxy_logging_obj.post_call_failure_hook(
+                    request_data=request_data,
+                    original_exception=e,
+                    user_api_key_dict=user_api_key_dict,
+                    error_type=ProxyErrorTypes.auth_error,
+                    route=route,
+                )
+            )
+
+            if isinstance(e, litellm.BudgetExceededError):
+                raise ProxyException(
+                    message=e.message,
+                    type=ProxyErrorTypes.budget_exceeded,
+                    param=None,
+                    code=400,
+                )
+            if isinstance(e, HTTPException):
+                raise ProxyException(
+                    message=getattr(e, "detail", f"Authentication Error({str(e)})"),
+                    type=ProxyErrorTypes.auth_error,
+                    param=getattr(e, "param", "None"),
+                    code=getattr(e, "status_code", status.HTTP_401_UNAUTHORIZED),
+                )
+            elif isinstance(e, ProxyException):
+                raise e
+            raise ProxyException(
+                message="Authentication Error, " + str(e),
+                type=ProxyErrorTypes.auth_error,
+                param=getattr(e, "param", "None"),
+                code=status.HTTP_401_UNAUTHORIZED,
+            )
+
+    @staticmethod
+    def should_allow_request_on_db_unavailable() -> bool:
+        """
+        Returns True if the request should be allowed to proceed despite the DB connection error
+        """
+        from litellm.proxy.proxy_server import general_settings
+
+        if general_settings.get("allow_requests_on_db_unavailable", False) is True:
+            return True
+        return False
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index b78619ae65..a2850ca294 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -26,7 +26,6 @@ from litellm.proxy._types import *
 from litellm.proxy.auth.auth_checks import (
     _cache_key_object,
     _get_user_role,
-    _handle_failed_db_connection_for_get_key_object,
     _is_user_proxy_admin,
     _virtual_key_max_budget_check,
     _virtual_key_soft_budget_check,
@@ -38,6 +37,7 @@ from litellm.proxy.auth.auth_checks import (
     get_user_object,
     is_valid_fallback_model,
 )
+from litellm.proxy.auth.auth_exception_handler import UserAPIKeyAuthExceptionHandler
 from litellm.proxy.auth.auth_utils import (
     _get_request_ip_address,
     get_end_user_id_from_request_body,
@@ -675,9 +675,7 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
         if (
             prisma_client is None
         ):  # if both master key + user key submitted, and user key != master key, and no db connected, raise an error
-            return await _handle_failed_db_connection_for_get_key_object(
-                e=Exception("No connected db.")
-            )
+            raise Exception("No connected db.")
 
         ## check for cache hit (In-Memory Cache)
         _user_role = None
@@ -1018,55 +1016,14 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
         else:
             raise Exception()
     except Exception as e:
-        requester_ip = _get_request_ip_address(
+        return await UserAPIKeyAuthExceptionHandler._handle_authentication_error(
+            e=e,
             request=request,
-            use_x_forwarded_for=general_settings.get("use_x_forwarded_for", False),
-        )
-        verbose_proxy_logger.exception(
-            "litellm.proxy.proxy_server.user_api_key_auth(): Exception occured - {}\nRequester IP Address:{}".format(
-                str(e),
-                requester_ip,
-            ),
-            extra={"requester_ip": requester_ip},
-        )
-
-        # Log this exception to OTEL, Datadog etc
-        user_api_key_dict = UserAPIKeyAuth(
+            request_data=request_data,
+            route=route,
             parent_otel_span=parent_otel_span,
             api_key=api_key,
         )
-        asyncio.create_task(
-            proxy_logging_obj.post_call_failure_hook(
-                request_data=request_data,
-                original_exception=e,
-                user_api_key_dict=user_api_key_dict,
-                error_type=ProxyErrorTypes.auth_error,
-                route=route,
-            )
-        )
-
-        if isinstance(e, litellm.BudgetExceededError):
-            raise ProxyException(
-                message=e.message,
-                type=ProxyErrorTypes.budget_exceeded,
-                param=None,
-                code=400,
-            )
-        if isinstance(e, HTTPException):
-            raise ProxyException(
-                message=getattr(e, "detail", f"Authentication Error({str(e)})"),
-                type=ProxyErrorTypes.auth_error,
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_401_UNAUTHORIZED),
-            )
-        elif isinstance(e, ProxyException):
-            raise e
-        raise ProxyException(
-            message="Authentication Error, " + str(e),
-            type=ProxyErrorTypes.auth_error,
-            param=getattr(e, "param", "None"),
-            code=status.HTTP_401_UNAUTHORIZED,
-        )
 
 
 @tracer.wrap()

From 59040167ac7dd3e1864f76a51a8b29dff6ef96b0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 14:40:11 -0700
Subject: [PATCH 016/244] fix ProxyErrorTypes

---
 litellm/proxy/_types.py | 53 +++++++++++++++++++++++++++++++++++++----
 1 file changed, 49 insertions(+), 4 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 220a0d5ddb..54612868cc 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2067,16 +2067,64 @@ class SpendCalculateRequest(LiteLLMPydanticObjectBase):
 
 class ProxyErrorTypes(str, enum.Enum):
     budget_exceeded = "budget_exceeded"
+    """
+    Object was over budget
+    """
+
+    token_not_found_in_db = "token_not_found_in_db"
+    """
+    Requested token was not found in the database
+    """
+
     key_model_access_denied = "key_model_access_denied"
+    """
+    Key does not have access to the model
+    """
+
     team_model_access_denied = "team_model_access_denied"
+    """
+    Team does not have access to the model
+    """
+
     user_model_access_denied = "user_model_access_denied"
+    """
+    User does not have access to the model
+    """
+
     expired_key = "expired_key"
+    """
+    Key has expired
+    """
+
     auth_error = "auth_error"
+    """
+    General authentication error
+    """
+
     internal_server_error = "internal_server_error"
+    """
+    Internal server error
+    """
+
     bad_request_error = "bad_request_error"
+    """
+    Bad request error
+    """
+
     not_found_error = "not_found_error"
-    validation_error = "bad_request_error"
+    """
+    Not found error
+    """
+
+    validation_error = "validation_error"
+    """
+    Validation error
+    """
+
     cache_ping_error = "cache_ping_error"
+    """
+    Cache ping error
+    """
 
     @classmethod
     def get_model_access_error_type_for_object(
@@ -2093,9 +2141,6 @@ class ProxyErrorTypes(str, enum.Enum):
             return cls.user_model_access_denied
 
 
-DB_CONNECTION_ERROR_TYPES = (httpx.ConnectError, httpx.ReadError, httpx.ReadTimeout)
-
-
 class SSOUserDefinedValues(TypedDict):
     models: List[str]
     user_id: str

From ce49e2721789cfaa4a236103cef90742f7e51bfb Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 15:44:13 -0700
Subject: [PATCH 017/244] fixes for auth checks

---
 litellm/proxy/_types.py                      |  7 +++
 litellm/proxy/auth/auth_checks.py            | 47 +++++++++---------
 litellm/proxy/auth/auth_exception_handler.py | 23 ++++++++-
 litellm/proxy/auth/user_api_key_auth.py      | 50 ++++++++------------
 4 files changed, 71 insertions(+), 56 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 54612868cc..c0fb0750eb 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2141,6 +2141,13 @@ class ProxyErrorTypes(str, enum.Enum):
             return cls.user_model_access_denied
 
 
+DB_CONNECTION_ERROR_TYPES = (
+    httpx.ConnectError,
+    httpx.ReadError,
+    httpx.ReadTimeout,
+)
+
+
 class SSOUserDefinedValues(TypedDict):
     models: List[str]
     user_id: str
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 98685e1a7c..9e71147706 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -987,33 +987,34 @@ async def get_key_object(
         )
 
     # else, check db
-    try:
-        _valid_token: Optional[BaseModel] = await prisma_client.get_data(
-            token=hashed_token,
-            table_name="combined_view",
-            parent_otel_span=parent_otel_span,
-            proxy_logging_obj=proxy_logging_obj,
+    _valid_token: Optional[BaseModel] = await prisma_client.get_data(
+        token=hashed_token,
+        table_name="combined_view",
+        parent_otel_span=parent_otel_span,
+        proxy_logging_obj=proxy_logging_obj,
+    )
+
+    if _valid_token is None:
+        raise ProxyException(
+            message="Key doesn't exist in db. key={}. Create key via `/key/generate` call.".format(
+                hashed_token
+            ),
+            type=ProxyErrorTypes.token_not_found_in_db,
+            param="key",
+            code=status.HTTP_401_UNAUTHORIZED,
         )
 
-        if _valid_token is None:
-            raise Exception
+    _response = UserAPIKeyAuth(**_valid_token.model_dump(exclude_none=True))
 
-        _response = UserAPIKeyAuth(**_valid_token.model_dump(exclude_none=True))
+    # save the key object to cache
+    await _cache_key_object(
+        hashed_token=hashed_token,
+        user_api_key_obj=_response,
+        user_api_key_cache=user_api_key_cache,
+        proxy_logging_obj=proxy_logging_obj,
+    )
 
-        # save the key object to cache
-        await _cache_key_object(
-            hashed_token=hashed_token,
-            user_api_key_obj=_response,
-            user_api_key_cache=user_api_key_cache,
-            proxy_logging_obj=proxy_logging_obj,
-        )
-
-        return _response
-    except Exception:
-        traceback.print_exc()
-        raise Exception(
-            f"Key doesn't exist in db. key={hashed_token}. Create key via `/key/generate` call."
-        )
+    return _response
 
 
 @log_db_metrics
diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py
index 88a94fd5b9..5b314ef931 100644
--- a/litellm/proxy/auth/auth_exception_handler.py
+++ b/litellm/proxy/auth/auth_exception_handler.py
@@ -9,7 +9,12 @@ from fastapi import HTTPException, Request, status
 
 import litellm
 from litellm._logging import verbose_proxy_logger
-from litellm.proxy._types import ProxyErrorTypes, ProxyException, UserAPIKeyAuth
+from litellm.proxy._types import (
+    DB_CONNECTION_ERROR_TYPES,
+    ProxyErrorTypes,
+    ProxyException,
+    UserAPIKeyAuth,
+)
 from litellm.proxy.auth.auth_utils import _get_request_ip_address
 from litellm.types.services import ServiceTypes
 
@@ -52,7 +57,10 @@ class UserAPIKeyAuthExceptionHandler:
             proxy_logging_obj,
         )
 
-        if UserAPIKeyAuthExceptionHandler.should_allow_request_on_db_unavailable():
+        if (
+            UserAPIKeyAuthExceptionHandler.should_allow_request_on_db_unavailable()
+            and UserAPIKeyAuthExceptionHandler.is_database_connection_error(e)
+        ):
             # log this as a DB failure on prometheus
             proxy_logging_obj.service_logging_obj.service_failure_hook(
                 service=ServiceTypes.DB,
@@ -128,3 +136,14 @@ class UserAPIKeyAuthExceptionHandler:
         if general_settings.get("allow_requests_on_db_unavailable", False) is True:
             return True
         return False
+
+    @staticmethod
+    def is_database_connection_error(e: Exception) -> bool:
+        """
+        Returns True if the exception is from a database outage / connection error
+        """
+        import prisma
+
+        return isinstance(e, DB_CONNECTION_ERROR_TYPES) or isinstance(
+            e, prisma.errors.PrismaError
+        )
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index a2850ca294..06fa560866 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -683,37 +683,25 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
             api_key = hash_token(token=api_key)
 
         if valid_token is None:
-            try:
-                valid_token = await get_key_object(
-                    hashed_token=api_key,
-                    prisma_client=prisma_client,
-                    user_api_key_cache=user_api_key_cache,
-                    parent_otel_span=parent_otel_span,
-                    proxy_logging_obj=proxy_logging_obj,
-                )
-                # update end-user params on valid token
-                # These can change per request - it's important to update them here
-                valid_token.end_user_id = end_user_params.get("end_user_id")
-                valid_token.end_user_tpm_limit = end_user_params.get(
-                    "end_user_tpm_limit"
-                )
-                valid_token.end_user_rpm_limit = end_user_params.get(
-                    "end_user_rpm_limit"
-                )
-                valid_token.allowed_model_region = end_user_params.get(
-                    "allowed_model_region"
-                )
-                # update key budget with temp budget increase
-                valid_token = _update_key_budget_with_temp_budget_increase(
-                    valid_token
-                )  # updating it here, allows all downstream reporting / checks to use the updated budget
-            except Exception:
-                verbose_logger.info(
-                    "litellm.proxy.auth.user_api_key_auth.py::user_api_key_auth() - Unable to find token={} in cache or `LiteLLM_VerificationTokenTable`. Defaulting 'valid_token' to None'".format(
-                        api_key
-                    )
-                )
-                valid_token = None
+            valid_token = await get_key_object(
+                hashed_token=api_key,
+                prisma_client=prisma_client,
+                user_api_key_cache=user_api_key_cache,
+                parent_otel_span=parent_otel_span,
+                proxy_logging_obj=proxy_logging_obj,
+            )
+            # update end-user params on valid token
+            # These can change per request - it's important to update them here
+            valid_token.end_user_id = end_user_params.get("end_user_id")
+            valid_token.end_user_tpm_limit = end_user_params.get("end_user_tpm_limit")
+            valid_token.end_user_rpm_limit = end_user_params.get("end_user_rpm_limit")
+            valid_token.allowed_model_region = end_user_params.get(
+                "allowed_model_region"
+            )
+            # update key budget with temp budget increase
+            valid_token = _update_key_budget_with_temp_budget_increase(
+                valid_token
+            )  # updating it here, allows all downstream reporting / checks to use the updated budget
 
         if valid_token is None:
             raise Exception(

From c6d5793bf6077ac94b7884ee1fde97521ac6ab52 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 17:50:27 -0700
Subject: [PATCH 018/244] add toxi proxy tests to ci/cd

---
 .circleci/config.yml                          | 63 ++++++++++++
 .../setup_toxi_proxy.py                       | 96 +++++++++++++++++++
 2 files changed, 159 insertions(+)
 create mode 100644 tests/proxy_reliability_tests/setup_toxi_proxy.py

diff --git a/.circleci/config.yml b/.circleci/config.yml
index b93a9d81e8..87432c7a24 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -470,6 +470,61 @@ jobs:
           paths:
             - litellm_proxy_security_tests_coverage.xml
             - litellm_proxy_security_tests_coverage
+  litellm_proxy_reliability_tests:
+    docker:
+      - image: cimg/python:3.11
+        auth:
+          username: ${DOCKERHUB_USERNAME}
+          password: ${DOCKERHUB_PASSWORD}
+    working_directory: ~/project
+    steps:
+      - checkout
+      - run:
+          name: Show git commit hash
+          command: |
+            echo "Git commit hash: $CIRCLE_SHA1"
+      - run:
+          name: Install Dependencies
+          command: |
+            python -m pip install --upgrade pip
+            python -m pip install -r requirements.txt
+            pip install "requests==2.31.0"
+            pip install "pytest==7.3.1"
+            pip install "pytest-retry==1.6.3"
+            pip install "pytest-asyncio==0.21.1"
+            pip install "pytest-cov==5.0.0"
+      - run:
+          name: Setup Toxiproxy
+          command: |
+            python tests/proxy_reliability_tests/setup_toxiproxy.py
+      - run:
+          name: Run prisma ./docker/entrypoint.sh
+          command: |
+            set +e
+            chmod +x docker/entrypoint.sh
+            ./docker/entrypoint.sh
+            set -e
+      # Run pytest and generate JUnit XML report
+      - run:
+          name: Run tests
+          command: |
+            pwd
+            ls
+            python -m pytest tests/proxy_security_tests --cov=litellm --cov-report=xml -vv -x -v --junitxml=test-results/junit.xml --durations=5
+          no_output_timeout: 120m
+      - run:
+          name: Rename the coverage files
+          command: |
+            mv coverage.xml litellm_proxy_security_tests_coverage.xml
+            mv .coverage litellm_proxy_security_tests_coverage
+      # Store test results
+      - store_test_results:
+          path: test-results
+      - persist_to_workspace:
+          root: .
+          paths:
+            - litellm_proxy_security_tests_coverage.xml
+            - litellm_proxy_security_tests_coverage
   litellm_proxy_unit_testing: # Runs all tests with the "proxy", "key", "jwt" filenames
     docker:
       - image: cimg/python:3.11
@@ -2451,6 +2506,12 @@ workflows:
               only:
                 - main
                 - /litellm_.*/
+      - litellm_proxy_reliability_tests:
+          filters:
+            branches:
+              only:
+                - main
+                - /litellm_.*/
       - litellm_assistants_api_testing:
           filters:
             branches:
@@ -2592,6 +2653,7 @@ workflows:
             - caching_unit_tests
             - litellm_proxy_unit_testing
             - litellm_proxy_security_tests
+            - litellm_proxy_reliability_tests
             - langfuse_logging_unit_tests
             - local_testing
             - litellm_assistants_api_testing
@@ -2657,6 +2719,7 @@ workflows:
             - e2e_ui_testing
             - litellm_proxy_unit_testing
             - litellm_proxy_security_tests
+            - litellm_proxy_reliability_tests
             - installing_litellm_on_python
             - installing_litellm_on_python_3_13
             - proxy_logging_guardrails_model_info_tests
diff --git a/tests/proxy_reliability_tests/setup_toxi_proxy.py b/tests/proxy_reliability_tests/setup_toxi_proxy.py
new file mode 100644
index 0000000000..3625b0bd3a
--- /dev/null
+++ b/tests/proxy_reliability_tests/setup_toxi_proxy.py
@@ -0,0 +1,96 @@
+import os
+import platform
+import subprocess
+import time
+import requests
+import stat
+
+
+def download_toxiproxy():
+    # Determine system architecture and OS
+    system = platform.system().lower()
+    machine = platform.machine().lower()
+
+    # Map architecture names
+    arch_map = {
+        "x86_64": "amd64",
+        "amd64": "amd64",
+        "arm64": "arm64",
+        "aarch64": "arm64",
+    }
+
+    arch = arch_map.get(machine, machine)
+
+    # Construct download URL (using latest version 2.5.0)
+    base_url = "https://github.com/Shopify/toxiproxy/releases/download/v2.5.0/"
+    if system == "linux":
+        filename = f"toxiproxy-server-linux-{arch}"
+        cli_filename = f"toxiproxy-cli-linux-{arch}"
+    elif system == "darwin":
+        filename = f"toxiproxy-server-darwin-{arch}"
+        cli_filename = f"toxiproxy-cli-darwin-{arch}"
+    else:
+        raise Exception("Unsupported operating system")
+
+    # Download server
+    response = requests.get(f"{base_url}{filename}")
+    with open("toxiproxy-server", "wb") as f:
+        f.write(response.content)
+
+    # Download CLI
+    response = requests.get(f"{base_url}{cli_filename}")
+    with open("toxiproxy-cli", "wb") as f:
+        f.write(response.content)
+
+    # Make files executable
+    os.chmod("toxiproxy-server", stat.S_IRWXU)
+    os.chmod("toxiproxy-cli", stat.S_IRWXU)
+
+
+def setup_toxiproxy():
+    # Start toxiproxy-server
+    server_process = subprocess.Popen(["./toxiproxy-server"])
+
+    # Wait for server to start
+    time.sleep(2)
+
+    # Create proxy
+    subprocess.run(
+        [
+            "./toxiproxy-cli",
+            "create",
+            "postgres_proxy",
+            "-l",
+            "127.0.0.1:6666",
+            "-u",
+            "ep-dry-paper-a69g2y1q-pooler.us-west-2.aws.neon.tech:5432",
+        ]
+    )
+
+    return server_process
+
+
+def main():
+    try:
+        # Download ToxiProxy binaries
+        download_toxiproxy()
+
+        # Setup ToxiProxy
+        server_process = setup_toxiproxy()
+
+        print("ToxiProxy setup completed successfully!")
+        print("Proxy 'postgres_proxy' created and listening on 127.0.0.1:6666")
+
+        # Keep the script running to maintain the proxy
+        try:
+            server_process.wait()
+        except KeyboardInterrupt:
+            server_process.terminate()
+            print("\nToxiProxy server stopped")
+
+    except Exception as e:
+        print(f"Error: {e}")
+
+
+if __name__ == "__main__":
+    main()

From 7b09d88680430d2fe5fd79c0f57e6079fa08113b Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 17:52:12 -0700
Subject: [PATCH 019/244] fix setup

---
 tests/proxy_reliability_tests/setup_toxi_proxy.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/proxy_reliability_tests/setup_toxi_proxy.py b/tests/proxy_reliability_tests/setup_toxi_proxy.py
index 3625b0bd3a..1338445f3a 100644
--- a/tests/proxy_reliability_tests/setup_toxi_proxy.py
+++ b/tests/proxy_reliability_tests/setup_toxi_proxy.py
@@ -59,11 +59,11 @@ def setup_toxiproxy():
         [
             "./toxiproxy-cli",
             "create",
-            "postgres_proxy",
             "-l",
             "127.0.0.1:6666",
             "-u",
             "ep-dry-paper-a69g2y1q-pooler.us-west-2.aws.neon.tech:5432",
+            "postgres_proxy",
         ]
     )
 

From 34c3825d1306c095730bdf1dd52f1e9c25c2b917 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 17:53:30 -0700
Subject: [PATCH 020/244] fix path

---
 .circleci/config.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 87432c7a24..ea887bf9de 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -496,7 +496,7 @@ jobs:
       - run:
           name: Setup Toxiproxy
           command: |
-            python tests/proxy_reliability_tests/setup_toxiproxy.py
+            python tests/proxy_reliability_tests/setup_toxi_proxy.py
       - run:
           name: Run prisma ./docker/entrypoint.sh
           command: |

From 6cd6ff801fb1e25bbef6f7d574871668761b9ab7 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 17:55:59 -0700
Subject: [PATCH 021/244] ci(publish-migrations.yml): add action for publishing
 prisma db migrations (#9537)

---
 .github/workflows/publish-migrations.yml | 103 +++++++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 .github/workflows/publish-migrations.yml

diff --git a/.github/workflows/publish-migrations.yml b/.github/workflows/publish-migrations.yml
new file mode 100644
index 0000000000..098bb59287
--- /dev/null
+++ b/.github/workflows/publish-migrations.yml
@@ -0,0 +1,103 @@
+name: Publish Prisma Migrations
+
+on:
+  push:
+    paths:
+      - 'schema.prisma'  # Check root schema.prisma
+    branches:
+      - main
+
+jobs:
+  publish-migrations:
+    runs-on: ubuntu-latest
+    services:
+      postgres:
+        image: postgres:14
+        env:
+          POSTGRES_DB: temp_db
+          POSTGRES_USER: postgres
+          POSTGRES_PASSWORD: postgres
+        ports:
+          - 5432:5432
+        options: >-
+          --health-cmd pg_isready
+          --health-interval 10s
+          --health-timeout 5s
+          --health-retries 5
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.x'
+
+      - name: Install Dependencies
+        run: |
+          pip install prisma
+          pip install python-dotenv
+
+      - name: Compare and Generate Migration
+        env:
+          DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          DIRECT_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+        run: |
+          # Create temporary migration workspace
+          mkdir -p temp_migrations
+          
+          # Copy existing migrations to temp workspace
+          cp -r deploy/migrations/* temp_migrations/
+          
+          # Generate new migration by comparing against existing state
+          VERSION=$(date +%Y%m%d%H%M%S)
+          
+          # Use prisma migrate diff to generate the migration
+          prisma migrate diff \
+            --from-migrations temp_migrations \
+            --to-schema-datamodel schema.prisma \
+            --script > temp_migrations/migration_${VERSION}.sql
+          
+          # Check if there are actual changes
+          if [ -s temp_migrations/migration_${VERSION}.sql ]; then
+            echo "Changes detected, creating new migration"
+            
+            # Create new migration directory
+            mkdir -p deploy/migrations/${VERSION}_schema_update
+            
+            # Move the migration file
+            mv temp_migrations/migration_${VERSION}.sql deploy/migrations/${VERSION}_schema_update/migration.sql
+            
+            # Create README with timestamp
+            echo "Migration generated at $(date -u)" > deploy/migrations/${VERSION}_schema_update/README.md
+          else
+            echo "No schema changes detected"
+            exit 0
+          fi
+
+      - name: Verify Migration
+        if: success()
+        env:
+          DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          DIRECT_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+        run: |
+          # Apply all migrations in order to verify
+          for migration in deploy/migrations/*/migration.sql; do
+            echo "Applying migration: $migration"
+            psql $DATABASE_URL -f $migration
+          done
+
+      - name: Create Pull Request
+        if: success()
+        uses: peter-evans/create-pull-request@v5
+        with:
+          commit-message: "chore: update prisma migrations"
+          title: "Update Prisma Migrations"
+          body: |
+            Auto-generated migration based on schema.prisma changes.
+            
+            Generated files:
+            - deploy/migrations/${VERSION}_schema_update/migration.sql
+            - deploy/migrations/${VERSION}_schema_update/README.md
+          branch: feat/prisma-migration-${{ env.VERSION }}
+          base: main 
\ No newline at end of file

From 53a586e87626c8816ad8febde009e53be5890c09 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 17:59:38 -0700
Subject: [PATCH 022/244] TOXI_PROXY_DATABASE_URL

---
 .circleci/config.yml | 75 ++++++++++++++++++++++++++++++++++----------
 1 file changed, 58 insertions(+), 17 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index ea887bf9de..15eacf9f51 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -471,47 +471,88 @@ jobs:
             - litellm_proxy_security_tests_coverage.xml
             - litellm_proxy_security_tests_coverage
   litellm_proxy_reliability_tests:
-    docker:
-      - image: cimg/python:3.11
-        auth:
-          username: ${DOCKERHUB_USERNAME}
-          password: ${DOCKERHUB_PASSWORD}
+        machine:
+      image: ubuntu-2204:2023.10.1
+    resource_class: xlarge
     working_directory: ~/project
     steps:
       - checkout
       - run:
-          name: Show git commit hash
+          name: Install Docker CLI (In case it's not already installed)
           command: |
-            echo "Git commit hash: $CIRCLE_SHA1"
+            sudo apt-get update
+            sudo apt-get install -y docker-ce docker-ce-cli containerd.io
+      - run:
+          name: Install Python 3.9
+          command: |
+            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh
+            bash miniconda.sh -b -p $HOME/miniconda
+            export PATH="$HOME/miniconda/bin:$PATH"
+            conda init bash
+            source ~/.bashrc
+            conda create -n myenv python=3.9 -y
+            conda activate myenv
+            python --version
       - run:
           name: Install Dependencies
           command: |
+            pip install "pytest==7.3.1"
+            pip install "pytest-asyncio==0.21.1"
+            pip install aiohttp
             python -m pip install --upgrade pip
             python -m pip install -r requirements.txt
-            pip install "requests==2.31.0"
             pip install "pytest==7.3.1"
             pip install "pytest-retry==1.6.3"
+            pip install "pytest-mock==3.12.0"
             pip install "pytest-asyncio==0.21.1"
-            pip install "pytest-cov==5.0.0"
+            pip install "assemblyai==0.37.0"
       - run:
           name: Setup Toxiproxy
           command: |
             python tests/proxy_reliability_tests/setup_toxi_proxy.py
       - run:
-          name: Run prisma ./docker/entrypoint.sh
+          name: Build Docker image
+          command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
+      - run:
+          name: Run Docker container
+          # intentionally give bad redis credentials here
+          # the OTEL test - should get this as a trace
           command: |
-            set +e
-            chmod +x docker/entrypoint.sh
-            ./docker/entrypoint.sh
-            set -e
-      # Run pytest and generate JUnit XML report
+            docker run -d \
+              -p 4000:4000 \
+              -e DATABASE_URL=$TOXI_PROXY_DATABASE_URL \
+              -e STORE_MODEL_IN_DB="True" \
+              -e LITELLM_MASTER_KEY="sk-1234" \
+              -e LITELLM_LICENSE=$LITELLM_LICENSE \
+              --name my-app \
+              -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
+              my-app:latest \
+              --config /app/config.yaml \
+              --port 4000 \
+              --detailed_debug \
+      - run:
+          name: Install curl and dockerize
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y curl
+            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
+      - run:
+          name: Start outputting logs
+          command: docker logs -f my-app
+          background: true
+      - run:
+          name: Wait for app to be ready
+          command: dockerize -wait http://localhost:4000 -timeout 5m
       - run:
           name: Run tests
           command: |
             pwd
             ls
-            python -m pytest tests/proxy_security_tests --cov=litellm --cov-report=xml -vv -x -v --junitxml=test-results/junit.xml --durations=5
-          no_output_timeout: 120m
+            python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5
+          no_output_timeout:
+            120m
       - run:
           name: Rename the coverage files
           command: |

From bf7241abd1cb6d92899df8796fbdb149df01af72 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 18:02:01 -0700
Subject: [PATCH 023/244] litellm_proxy_reliability_tests

---
 .circleci/config.yml | 193 ++++++++++++++++++++++---------------------
 1 file changed, 97 insertions(+), 96 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 15eacf9f51..61f98405a7 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -470,102 +470,6 @@ jobs:
           paths:
             - litellm_proxy_security_tests_coverage.xml
             - litellm_proxy_security_tests_coverage
-  litellm_proxy_reliability_tests:
-        machine:
-      image: ubuntu-2204:2023.10.1
-    resource_class: xlarge
-    working_directory: ~/project
-    steps:
-      - checkout
-      - run:
-          name: Install Docker CLI (In case it's not already installed)
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y docker-ce docker-ce-cli containerd.io
-      - run:
-          name: Install Python 3.9
-          command: |
-            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh
-            bash miniconda.sh -b -p $HOME/miniconda
-            export PATH="$HOME/miniconda/bin:$PATH"
-            conda init bash
-            source ~/.bashrc
-            conda create -n myenv python=3.9 -y
-            conda activate myenv
-            python --version
-      - run:
-          name: Install Dependencies
-          command: |
-            pip install "pytest==7.3.1"
-            pip install "pytest-asyncio==0.21.1"
-            pip install aiohttp
-            python -m pip install --upgrade pip
-            python -m pip install -r requirements.txt
-            pip install "pytest==7.3.1"
-            pip install "pytest-retry==1.6.3"
-            pip install "pytest-mock==3.12.0"
-            pip install "pytest-asyncio==0.21.1"
-            pip install "assemblyai==0.37.0"
-      - run:
-          name: Setup Toxiproxy
-          command: |
-            python tests/proxy_reliability_tests/setup_toxi_proxy.py
-      - run:
-          name: Build Docker image
-          command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
-      - run:
-          name: Run Docker container
-          # intentionally give bad redis credentials here
-          # the OTEL test - should get this as a trace
-          command: |
-            docker run -d \
-              -p 4000:4000 \
-              -e DATABASE_URL=$TOXI_PROXY_DATABASE_URL \
-              -e STORE_MODEL_IN_DB="True" \
-              -e LITELLM_MASTER_KEY="sk-1234" \
-              -e LITELLM_LICENSE=$LITELLM_LICENSE \
-              --name my-app \
-              -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
-              my-app:latest \
-              --config /app/config.yaml \
-              --port 4000 \
-              --detailed_debug \
-      - run:
-          name: Install curl and dockerize
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y curl
-            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
-      - run:
-          name: Start outputting logs
-          command: docker logs -f my-app
-          background: true
-      - run:
-          name: Wait for app to be ready
-          command: dockerize -wait http://localhost:4000 -timeout 5m
-      - run:
-          name: Run tests
-          command: |
-            pwd
-            ls
-            python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5
-          no_output_timeout:
-            120m
-      - run:
-          name: Rename the coverage files
-          command: |
-            mv coverage.xml litellm_proxy_security_tests_coverage.xml
-            mv .coverage litellm_proxy_security_tests_coverage
-      # Store test results
-      - store_test_results:
-          path: test-results
-      - persist_to_workspace:
-          root: .
-          paths:
-            - litellm_proxy_security_tests_coverage.xml
-            - litellm_proxy_security_tests_coverage
   litellm_proxy_unit_testing: # Runs all tests with the "proxy", "key", "jwt" filenames
     docker:
       - image: cimg/python:3.11
@@ -1984,6 +1888,103 @@ jobs:
           no_output_timeout:
             120m
             # Clean up first container
+  litellm_proxy_reliability_tests:
+    machine:
+      image: ubuntu-2204:2023.10.1
+    resource_class: xlarge
+    working_directory: ~/project
+    steps:
+      - checkout
+      - run:
+          name: Install Docker CLI (In case it's not already installed)
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y docker-ce docker-ce-cli containerd.io
+      - run:
+          name: Install Python 3.9
+          command: |
+            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh
+            bash miniconda.sh -b -p $HOME/miniconda
+            export PATH="$HOME/miniconda/bin:$PATH"
+            conda init bash
+            source ~/.bashrc
+            conda create -n myenv python=3.9 -y
+            conda activate myenv
+            python --version
+      - run:
+          name: Install Dependencies
+          command: |
+            pip install "pytest==7.3.1"
+            pip install "pytest-asyncio==0.21.1"
+            pip install aiohttp
+            python -m pip install --upgrade pip
+            python -m pip install -r requirements.txt
+            pip install "pytest==7.3.1"
+            pip install "pytest-retry==1.6.3"
+            pip install "pytest-mock==3.12.0"
+            pip install "pytest-asyncio==0.21.1"
+            pip install "assemblyai==0.37.0"
+      - run:
+          name: Setup Toxiproxy
+          command: |
+            python tests/proxy_reliability_tests/setup_toxi_proxy.py
+      - run:
+          name: Build Docker image
+          command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
+      - run:
+          name: Run Docker container
+          # intentionally give bad redis credentials here
+          # the OTEL test - should get this as a trace
+          command: |
+            docker run -d \
+              -p 4000:4000 \
+              -e DATABASE_URL=$TOXI_PROXY_DATABASE_URL \
+              -e STORE_MODEL_IN_DB="True" \
+              -e LITELLM_MASTER_KEY="sk-1234" \
+              -e LITELLM_LICENSE=$LITELLM_LICENSE \
+              --name my-app \
+              -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
+              my-app:latest \
+              --config /app/config.yaml \
+              --port 4000 \
+              --detailed_debug \
+      - run:
+          name: Install curl and dockerize
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y curl
+            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
+      - run:
+          name: Start outputting logs
+          command: docker logs -f my-app
+          background: true
+      - run:
+          name: Wait for app to be ready
+          command: dockerize -wait http://localhost:4000 -timeout 5m
+      - run:
+          name: Run tests
+          command: |
+            pwd
+            ls
+            python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5
+          no_output_timeout:
+            120m
+      - run:
+          name: Rename the coverage files
+          command: |
+            mv coverage.xml litellm_proxy_security_tests_coverage.xml
+            mv .coverage litellm_proxy_security_tests_coverage
+      # Store test results
+      - store_test_results:
+          path: test-results
+      - persist_to_workspace:
+          root: .
+          paths:
+            - litellm_proxy_security_tests_coverage.xml
+            - litellm_proxy_security_tests_coverage
+  
       
   proxy_build_from_pip_tests:
     # Change from docker to machine executor

From 83b41f95e769a1f19d33d1b8ca934311153e6dd5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 18:05:41 -0700
Subject: [PATCH 024/244] Setup Toxiproxy

---
 .circleci/config.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 61f98405a7..b7dc08bced 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -1927,7 +1927,8 @@ jobs:
       - run:
           name: Setup Toxiproxy
           command: |
-            python tests/proxy_reliability_tests/setup_toxi_proxy.py
+            python tests/proxy_reliability_tests/setup_toxi_proxy.py &
+            sleep 5
       - run:
           name: Build Docker image
           command: docker build -t my-app:latest -f ./docker/Dockerfile.database .

From 6f138c79a744cb1f9ea7f44089968f132e737580 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 18:19:11 -0700
Subject: [PATCH 025/244] run toxi proxy tests

---
 .circleci/config.yml | 2 --
 1 file changed, 2 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index b7dc08bced..2577862036 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -1934,8 +1934,6 @@ jobs:
           command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
       - run:
           name: Run Docker container
-          # intentionally give bad redis credentials here
-          # the OTEL test - should get this as a trace
           command: |
             docker run -d \
               -p 4000:4000 \

From 9e2d230339c001b894956a841689bf115176927e Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 18:23:52 -0700
Subject: [PATCH 026/244] litellm_proxy_reliability_tests

---
 .circleci/config.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 2577862036..8e376b6dc2 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -2552,7 +2552,8 @@ workflows:
             branches:
               only:
                 - main
-                - /litellm_.*/
+                - /litellm_stability_.*/
+                - litellm_stable_release_branch
       - litellm_assistants_api_testing:
           filters:
             branches:

From 53d9e33e782da6051418eff380e6b507fcafa329 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 18:59:26 -0700
Subject: [PATCH 027/244] fix setup toxi proxy

---
 .circleci/config.yml                              | 1 +
 tests/proxy_reliability_tests/setup_toxi_proxy.py | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 8e376b6dc2..04799ddd75 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -1942,6 +1942,7 @@ jobs:
               -e LITELLM_MASTER_KEY="sk-1234" \
               -e LITELLM_LICENSE=$LITELLM_LICENSE \
               --name my-app \
+              --network=host \
               -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
               my-app:latest \
               --config /app/config.yaml \
diff --git a/tests/proxy_reliability_tests/setup_toxi_proxy.py b/tests/proxy_reliability_tests/setup_toxi_proxy.py
index 1338445f3a..b44298aca5 100644
--- a/tests/proxy_reliability_tests/setup_toxi_proxy.py
+++ b/tests/proxy_reliability_tests/setup_toxi_proxy.py
@@ -60,7 +60,7 @@ def setup_toxiproxy():
             "./toxiproxy-cli",
             "create",
             "-l",
-            "127.0.0.1:6666",
+            "0.0.0.0:6666",
             "-u",
             "ep-dry-paper-a69g2y1q-pooler.us-west-2.aws.neon.tech:5432",
             "postgres_proxy",

From 438655858210efc9cbc9d3d594bbe66494c92c66 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 19:11:13 -0700
Subject: [PATCH 028/244] litellm_proxy_reliability_tests

---
 .circleci/config.yml | 137 ++++++++++++-------------------------------
 1 file changed, 39 insertions(+), 98 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 04799ddd75..e4d6af8f0e 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -686,6 +686,44 @@ jobs:
           paths:
             - llm_translation_coverage.xml
             - llm_translation_coverage
+  litellm_proxy_reliability_tests:
+    docker:
+      - image: cimg/python:3.11
+        auth:
+          username: ${DOCKERHUB_USERNAME}
+          password: ${DOCKERHUB_PASSWORD}
+    working_directory: ~/project
+
+    steps:
+      - checkout
+      - run:
+          name: Install Dependencies
+          command: |
+            python -m pip install --upgrade pip
+            python -m pip install -r requirements.txt
+            pip install "pytest==7.3.1"
+            pip install "pytest-retry==1.6.3"
+            pip install "pytest-cov==5.0.0"
+            pip install "pytest-asyncio==0.21.1"
+            pip install "respx==0.21.1"
+      # Run pytest and generate JUnit XML report
+      - run:
+          name: Setup Toxiproxy
+          command: |
+            python tests/proxy_reliability_tests/setup_toxi_proxy.py &
+            sleep 5
+      - run:
+          name: Run tests
+          command: |
+            pwd
+            ls
+            python -m pytest -vv tests/proxy_reliability_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5
+          no_output_timeout: 120m
+      - run:
+          name: Rename the coverage files
+          command: |
+            mv coverage.xml litellm_proxy_reliability_tests_coverage.xml
+            mv .coverage litellm_proxy_reliability_tests_coverage
   mcp_testing:
     docker:
       - image: cimg/python:3.11
@@ -1888,104 +1926,7 @@ jobs:
           no_output_timeout:
             120m
             # Clean up first container
-  litellm_proxy_reliability_tests:
-    machine:
-      image: ubuntu-2204:2023.10.1
-    resource_class: xlarge
-    working_directory: ~/project
-    steps:
-      - checkout
-      - run:
-          name: Install Docker CLI (In case it's not already installed)
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y docker-ce docker-ce-cli containerd.io
-      - run:
-          name: Install Python 3.9
-          command: |
-            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh
-            bash miniconda.sh -b -p $HOME/miniconda
-            export PATH="$HOME/miniconda/bin:$PATH"
-            conda init bash
-            source ~/.bashrc
-            conda create -n myenv python=3.9 -y
-            conda activate myenv
-            python --version
-      - run:
-          name: Install Dependencies
-          command: |
-            pip install "pytest==7.3.1"
-            pip install "pytest-asyncio==0.21.1"
-            pip install aiohttp
-            python -m pip install --upgrade pip
-            python -m pip install -r requirements.txt
-            pip install "pytest==7.3.1"
-            pip install "pytest-retry==1.6.3"
-            pip install "pytest-mock==3.12.0"
-            pip install "pytest-asyncio==0.21.1"
-            pip install "assemblyai==0.37.0"
-      - run:
-          name: Setup Toxiproxy
-          command: |
-            python tests/proxy_reliability_tests/setup_toxi_proxy.py &
-            sleep 5
-      - run:
-          name: Build Docker image
-          command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
-      - run:
-          name: Run Docker container
-          command: |
-            docker run -d \
-              -p 4000:4000 \
-              -e DATABASE_URL=$TOXI_PROXY_DATABASE_URL \
-              -e STORE_MODEL_IN_DB="True" \
-              -e LITELLM_MASTER_KEY="sk-1234" \
-              -e LITELLM_LICENSE=$LITELLM_LICENSE \
-              --name my-app \
-              --network=host \
-              -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
-              my-app:latest \
-              --config /app/config.yaml \
-              --port 4000 \
-              --detailed_debug \
-      - run:
-          name: Install curl and dockerize
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y curl
-            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
-      - run:
-          name: Start outputting logs
-          command: docker logs -f my-app
-          background: true
-      - run:
-          name: Wait for app to be ready
-          command: dockerize -wait http://localhost:4000 -timeout 5m
-      - run:
-          name: Run tests
-          command: |
-            pwd
-            ls
-            python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5
-          no_output_timeout:
-            120m
-      - run:
-          name: Rename the coverage files
-          command: |
-            mv coverage.xml litellm_proxy_security_tests_coverage.xml
-            mv .coverage litellm_proxy_security_tests_coverage
-      # Store test results
-      - store_test_results:
-          path: test-results
-      - persist_to_workspace:
-          root: .
-          paths:
-            - litellm_proxy_security_tests_coverage.xml
-            - litellm_proxy_security_tests_coverage
-  
-      
+
   proxy_build_from_pip_tests:
     # Change from docker to machine executor
     machine:

From 9d10befa09f5cd16420195abaef99b9795bb9bc1 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 19:16:34 -0700
Subject: [PATCH 029/244] test_litellm_proxy_server_config_no_general_settings

---
 .../test_using_litellm_db_outage.py           | 74 +++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 tests/proxy_reliability_tests/test_using_litellm_db_outage.py

diff --git a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
new file mode 100644
index 0000000000..745a14bdc6
--- /dev/null
+++ b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
@@ -0,0 +1,74 @@
+import asyncio
+import os
+import subprocess
+import sys
+import time
+import traceback
+
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+
+import litellm
+
+import os
+import subprocess
+import time
+
+import pytest
+import requests
+
+
+def test_litellm_proxy_server_config_no_general_settings():
+    # Install the litellm[proxy] package
+    # Start the server
+    try:
+        subprocess.run(["pip", "install", "litellm[proxy]"])
+        subprocess.run(["pip", "install", "litellm[extra_proxy]"])
+        filepath = os.path.dirname(os.path.abspath(__file__))
+        config_fp = f"{filepath}/test_configs/test_config_no_auth.yaml"
+        server_process = subprocess.Popen(
+            [
+                "python",
+                "-m",
+                "litellm.proxy.proxy_cli",
+                "--config",
+                config_fp,
+            ]
+        )
+
+        # Allow some time for the server to start
+        time.sleep(60)  # Adjust the sleep time if necessary
+
+        # Send a request to the /health/liveliness endpoint
+        response = requests.get("http://localhost:4000/health/liveliness")
+
+        # Check if the response is successful
+        assert response.status_code == 200
+        assert response.json() == "I'm alive!"
+
+        # Test /chat/completions
+        response = requests.post(
+            "http://localhost:4000/chat/completions",
+            headers={"Authorization": "Bearer 1234567890"},
+            json={
+                "model": "test_openai_models",
+                "messages": [{"role": "user", "content": "Hello, how are you?"}],
+            },
+        )
+
+        assert response.status_code == 200
+
+    except ImportError:
+        pytest.fail("Failed to import litellm.proxy_server")
+    except requests.ConnectionError:
+        pytest.fail("Failed to connect to the server")
+    finally:
+        # Shut down the server
+        server_process.terminate()
+        server_process.wait()
+
+    # Additional assertions can be added here
+    assert True

From b4e745323a49e630b0b1f98bdefcce62690e2d04 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 19:21:51 -0700
Subject: [PATCH 030/244] add test config

---
 litellm/proxy/proxy_config.yaml               | 40 +++----------------
 .../test_configs/test_config.yaml             |  9 +++++
 .../test_using_litellm_db_outage.py           |  2 +-
 3 files changed, 16 insertions(+), 35 deletions(-)
 create mode 100644 tests/proxy_reliability_tests/test_configs/test_config.yaml

diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 26ce6cb8f8..4912a35f89 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -1,37 +1,9 @@
 model_list:
-  - model_name: gpt-3.5-turbo-end-user-test
+  - model_name: fake-openai-endpoint
     litellm_params:
-      model: azure/chatgpt-v-2
-      api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
-      api_version: "2023-05-15"
-      api_key: os.environ/AZURE_API_KEY
+      model: openai/fake
+      api_key: fake-key
+      api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
-
-
-mcp_tools:
-  - name: "get_current_time"
-    description: "Get the current time"
-    input_schema: {
-      "type": "object",
-      "properties": {
-        "format": {
-          "type": "string",
-          "description": "The format of the time to return",
-          "enum": ["short"]
-        }
-      }
-    }
-    handler: "mcp_tools.get_current_time"
-  - name: "get_current_date"
-    description: "Get the current date"
-    input_schema: {
-      "type": "object",
-      "properties": {
-        "format": {
-          "type": "string",
-          "description": "The format of the date to return",
-          "enum": ["short"]
-        }
-      }
-    }
-    handler: "mcp_tools.get_current_date"
+general_settings:
+  allow_requests_on_db_unavailable: True
\ No newline at end of file
diff --git a/tests/proxy_reliability_tests/test_configs/test_config.yaml b/tests/proxy_reliability_tests/test_configs/test_config.yaml
new file mode 100644
index 0000000000..4912a35f89
--- /dev/null
+++ b/tests/proxy_reliability_tests/test_configs/test_config.yaml
@@ -0,0 +1,9 @@
+model_list:
+  - model_name: fake-openai-endpoint
+    litellm_params:
+      model: openai/fake
+      api_key: fake-key
+      api_base: https://exampleopenaiendpoint-production.up.railway.app/
+
+general_settings:
+  allow_requests_on_db_unavailable: True
\ No newline at end of file
diff --git a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
index 745a14bdc6..acaaed05f3 100644
--- a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
+++ b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
@@ -28,7 +28,7 @@ def test_litellm_proxy_server_config_no_general_settings():
         subprocess.run(["pip", "install", "litellm[proxy]"])
         subprocess.run(["pip", "install", "litellm[extra_proxy]"])
         filepath = os.path.dirname(os.path.abspath(__file__))
-        config_fp = f"{filepath}/test_configs/test_config_no_auth.yaml"
+        config_fp = f"{filepath}/test_configs/test_config.yaml"
         server_process = subprocess.Popen(
             [
                 "python",

From 6572ba7a0ef9ddb24345dde179610365d237e571 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 19:25:47 -0700
Subject: [PATCH 031/244] fix startup

---
 .../proxy_reliability_tests/test_using_litellm_db_outage.py  | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
index acaaed05f3..52d3ec6222 100644
--- a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
+++ b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
@@ -4,7 +4,6 @@ import subprocess
 import sys
 import time
 import traceback
-
 import pytest
 
 sys.path.insert(
@@ -29,6 +28,10 @@ def test_litellm_proxy_server_config_no_general_settings():
         subprocess.run(["pip", "install", "litellm[extra_proxy]"])
         filepath = os.path.dirname(os.path.abspath(__file__))
         config_fp = f"{filepath}/test_configs/test_config.yaml"
+
+        # Set DATABASE_URL environment variable
+        os.environ["DATABASE_URL"] = os.getenv("TOXI_PROXY_DATABASE_URL")
+
         server_process = subprocess.Popen(
             [
                 "python",

From 0a401ee468de6a13c905c8b41c66a73b95d5b1c5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 19:27:15 -0700
Subject: [PATCH 032/244] test_litellm_proxy_server_config_no_general_settings

---
 .../test_using_litellm_db_outage.py                        | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
index 52d3ec6222..ea9c7e3f3a 100644
--- a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
+++ b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
@@ -19,18 +19,20 @@ import time
 import pytest
 import requests
 
+TEST_MASTER_KEY = "sk-1234"
+
 
 def test_litellm_proxy_server_config_no_general_settings():
     # Install the litellm[proxy] package
     # Start the server
     try:
         subprocess.run(["pip", "install", "litellm[proxy]"])
-        subprocess.run(["pip", "install", "litellm[extra_proxy]"])
         filepath = os.path.dirname(os.path.abspath(__file__))
         config_fp = f"{filepath}/test_configs/test_config.yaml"
 
         # Set DATABASE_URL environment variable
         os.environ["DATABASE_URL"] = os.getenv("TOXI_PROXY_DATABASE_URL")
+        os.environ["LITELLM_MASTER_KEY"] = TEST_MASTER_KEY
 
         server_process = subprocess.Popen(
             [
@@ -72,6 +74,3 @@ def test_litellm_proxy_server_config_no_general_settings():
         # Shut down the server
         server_process.terminate()
         server_process.wait()
-
-    # Additional assertions can be added here
-    assert True

From 79ef184345a62945f991f8f0fb4e9b090446ccb7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 21:57:45 -0700
Subject: [PATCH 033/244] run ci/cd again

---
 litellm/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index d2b5169664..a59484b035 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -2,7 +2,7 @@
 import warnings
 
 warnings.filterwarnings("ignore", message=".*conflict with protected namespace.*")
-### INIT VARIABLES ##########
+### INIT VARIABLES ###########
 import threading
 import os
 from typing import Callable, List, Optional, Dict, Union, Any, Literal, get_args

From 9aec7c387816aec1de8e7b56c953a07c57afc5a9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 22:08:06 -0700
Subject: [PATCH 034/244] test_create_delete_assistants

---
 tests/local_testing/test_assistants.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/local_testing/test_assistants.py b/tests/local_testing/test_assistants.py
index 273972e9dd..544523e4a0 100644
--- a/tests/local_testing/test_assistants.py
+++ b/tests/local_testing/test_assistants.py
@@ -67,6 +67,7 @@ async def test_get_assistants(provider, sync_mode):
 @pytest.mark.asyncio()
 @pytest.mark.flaky(retries=3, delay=1)
 async def test_create_delete_assistants(provider, sync_mode):
+    litellm.ssl_verify = False
     model = "gpt-4-turbo"
     if provider == "azure":
         os.environ["AZURE_API_VERSION"] = "2024-05-01-preview"

From 24a329ea5b1dd4f20a56061a6e0c9450198f9ba3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 22:29:40 -0700
Subject: [PATCH 035/244] Set DNS

---
 .circleci/config.yml | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index b93a9d81e8..f8951ef7e4 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -577,6 +577,10 @@ jobs:
 
     steps:
       - checkout
+      - run: 
+          name: Set DNS
+          command: |
+            ssh remote-docker echo "nameserver x.x.x.x" | ssh remote-docker sudo tee 
       - run:
           name: Install Dependencies
           command: |

From 61816dfd04feed1846369ea6b228ee985123a9ce Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 22:31:16 -0700
Subject: [PATCH 036/244] litellm_assistants_api_testing bump python

---
 .circleci/config.yml | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index f8951ef7e4..1b94afa102 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -569,7 +569,7 @@ jobs:
             - litellm_proxy_unit_tests_coverage
   litellm_assistants_api_testing: # Runs all tests with the "assistants" keyword
     docker:
-      - image: cimg/python:3.11
+      - image: cimg/python:3.13.1
         auth:
           username: ${DOCKERHUB_USERNAME}
           password: ${DOCKERHUB_PASSWORD}
@@ -577,10 +577,6 @@ jobs:
 
     steps:
       - checkout
-      - run: 
-          name: Set DNS
-          command: |
-            ssh remote-docker echo "nameserver x.x.x.x" | ssh remote-docker sudo tee 
       - run:
           name: Install Dependencies
           command: |

From f68cc26f1590fb6569b9a1dd1a37d99070dc5ee8 Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Tue, 25 Mar 2025 22:37:28 -0700
Subject: [PATCH 037/244] 8864 Add support for anyOf union type while handling
 null fields

---
 .gitignore                                    |  2 +-
 litellm/llms/vertex_ai/common_utils.py        | 43 +++++++-----
 .../vertex_ai/test_vertex_ai_common_utils.py  | 70 +++++++++++++++++++
 3 files changed, 95 insertions(+), 20 deletions(-)

diff --git a/.gitignore b/.gitignore
index dab6d4ec81..a9d14852eb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -82,4 +82,4 @@ tests/llm_translation/test_vertex_key.json
 litellm/proxy/migrations/0_init/migration.sql
 litellm/proxy/db/migrations/0_init/migration.sql
 litellm/proxy/db/migrations/*
-litellm/proxy/migrations/*
\ No newline at end of file
+litellm/proxy/migrations/*config.yaml
diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index a3f91fbacc..9a01c15233 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -160,7 +160,7 @@ def _build_vertex_schema(parameters: dict):
     #     * https://github.com/pydantic/pydantic/issues/1270
     #     * https://stackoverflow.com/a/58841311
     #     * https://github.com/pydantic/pydantic/discussions/4872
-    convert_to_nullable(parameters)
+    convert_anyof_null_to_nullable(parameters)
     add_object_type(parameters)
     # Postprocessing
     # 4. Suppress unnecessary title generation:
@@ -211,34 +211,39 @@ def unpack_defs(schema, defs):
                 continue
 
 
-def convert_to_nullable(schema):
-    anyof = schema.pop("anyOf", None)
+def convert_anyof_null_to_nullable(schema):
+    """ Converts null objects within anyOf by removing them and adding nullable to all remaining objects """
+    anyof = schema.get("anyOf", None)
     if anyof is not None:
-        if len(anyof) != 2:
+        contains_null = False
+        for atype in anyof:
+            if atype == {"type": "null"}:
+                # remove null type
+                anyof.remove(atype)
+                contains_null = True
+        
+        if len(anyof) == 0:
+            # Edge case: response schema with only null type present is invalid in Vertex AI
             raise ValueError(
-                "Invalid input: Type Unions are not supported, except for `Optional` types. "
-                "Please provide an `Optional` type or a non-Union type."
+                "Invalid input: AnyOf schema with only null type is not supported. "
+                "Please provide a non-null type."
             )
-        a, b = anyof
-        if a == {"type": "null"}:
-            schema.update(b)
-        elif b == {"type": "null"}:
-            schema.update(a)
-        else:
-            raise ValueError(
-                "Invalid input: Type Unions are not supported, except for `Optional` types. "
-                "Please provide an `Optional` type or a non-Union type."
-            )
-        schema["nullable"] = True
+
+            
+        if contains_null:
+            # set all types to nullable following guidance found here: https://cloud.google.com/vertex-ai/generative-ai/docs/samples/generativeaionvertexai-gemini-controlled-generation-response-schema-3#generativeaionvertexai_gemini_controlled_generation_response_schema_3-python
+            for atype in anyof:
+                atype["nullable"] = True
+            
 
     properties = schema.get("properties", None)
     if properties is not None:
         for name, value in properties.items():
-            convert_to_nullable(value)
+            convert_anyof_null_to_nullable(value)
 
     items = schema.get("items", None)
     if items is not None:
-        convert_to_nullable(items)
+        convert_anyof_null_to_nullable(items)
 
 
 def add_object_type(schema):
diff --git a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
index e89355443f..1c6ff65ce6 100644
--- a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
+++ b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
@@ -12,6 +12,7 @@ import litellm
 from litellm.llms.vertex_ai.common_utils import (
     get_vertex_location_from_url,
     get_vertex_project_id_from_url,
+    convert_anyof_null_to_nullable
 )
 
 
@@ -41,3 +42,72 @@ async def test_get_vertex_location_from_url():
     url = "https://invalid-url.com"
     location = get_vertex_location_from_url(url)
     assert location is None
+
+def test_basic_anyof_conversion():
+    """Test basic conversion of anyOf with 'null'."""
+    schema = {
+        "type": "object",
+        "properties": {
+            "example": {
+                "anyOf": [
+                    {"type": "string"},
+                    {"type": "null"}
+                ]
+            }
+        }
+    }
+
+    convert_anyof_null_to_nullable(schema)
+
+    expected = {
+        "type": "object",
+        "properties": {
+            "example": {
+                "anyOf": [
+                    {"type": "string", "nullable": True}
+                ]
+            }
+        }
+    }
+    assert schema == expected
+
+
+def test_nested_anyof_conversion():
+    """Test nested conversion with 'anyOf' inside properties."""
+    schema = {
+        "type": "object",
+        "properties": {
+            "outer": {
+                "type": "object",
+                "properties": {
+                    "inner": {
+                        "anyOf": [
+                            {"type": "array", "items": {"type": "string"}},
+                            {"type": "string"},
+                            {"type": "null"}
+                        ]
+                    }
+                }
+            }
+        }
+    }
+
+    convert_anyof_null_to_nullable(schema)
+
+    expected = {
+        "type": "object",
+        "properties": {
+            "outer": {
+                "type": "object",
+                "properties": {
+                    "inner": {
+                        "anyOf": [
+                            {"type": "array", "items": {"type": "string"}, "nullable": True},
+                            {"type": "string", "nullable": True}
+                        ]
+                    }
+                }
+            }
+        }
+    }
+    assert schema == expected
\ No newline at end of file

From 3725ba4f63c0e962796a45cfcbcc664324624ea4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 22:52:31 -0700
Subject: [PATCH 038/244] setup_google_dns

---
 .circleci/config.yml | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 1b94afa102..0013a09b3f 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -3,6 +3,14 @@ orbs:
   codecov: codecov/codecov@4.0.1
   node: circleci/node@5.1.0  # Add this line to declare the node orb
 
+commands:
+  setup_google_dns:
+    steps:
+      - run:
+          name: "Configure Google DNS"
+          command: |
+            echo "nameserver 8.8.8.8" | sudo tee /etc/resolv.conf
+            echo "nameserver 8.8.4.4" | sudo tee -a /etc/resolv.conf
 
 jobs:
   local_testing:
@@ -577,6 +585,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |

From c473e2b1c2f7bf04bde0f83cad733098381297f7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:02:02 -0700
Subject: [PATCH 039/244] setup_google_dns

---
 .circleci/config.yml | 36 ++++++++++++++++++++++++++++++++----
 1 file changed, 32 insertions(+), 4 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 0013a09b3f..304f96bdbb 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -23,7 +23,7 @@ jobs:
 
     steps:
       - checkout
-
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
@@ -142,7 +142,7 @@ jobs:
 
     steps:
       - checkout
-
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
@@ -242,7 +242,7 @@ jobs:
 
     steps:
       - checkout
-
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
@@ -342,6 +342,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -396,6 +397,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -437,6 +439,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
@@ -487,7 +490,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
-
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
@@ -627,6 +630,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -663,6 +667,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -705,6 +710,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -749,6 +755,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -791,6 +798,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -837,6 +845,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -881,6 +890,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -927,6 +937,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -969,6 +980,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -1011,6 +1023,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -1057,6 +1070,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -1089,6 +1103,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -1113,6 +1128,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       # Install Helm
       - run:
           name: Install Helm
@@ -1182,6 +1198,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
@@ -1218,6 +1235,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Python 3.9
           command: |
@@ -1292,6 +1310,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -1427,6 +1446,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -1551,6 +1571,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -1713,6 +1734,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -1824,6 +1846,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -1906,6 +1929,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       # Remove Docker CLI installation since it's already available in machine executor
       - run:
           name: Install Python 3.13
@@ -2003,6 +2027,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Docker CLI (In case it's not already installed)
           command: |
@@ -2262,6 +2287,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Build UI
           command: |
@@ -2376,6 +2402,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Build Docker image
           command: |
@@ -2398,6 +2425,7 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Build Docker image
           command: |

From 24b3e80eba18168d5b5134c969f5eb802ad63b48 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 19:30:18 -0700
Subject: [PATCH 040/244] ci: update github action

---
 .github/workflows/publish-migrations.yml | 129 ++++++++++++++++++++---
 1 file changed, 116 insertions(+), 13 deletions(-)

diff --git a/.github/workflows/publish-migrations.yml b/.github/workflows/publish-migrations.yml
index 098bb59287..8e5a67bcf8 100644
--- a/.github/workflows/publish-migrations.yml
+++ b/.github/workflows/publish-migrations.yml
@@ -1,5 +1,9 @@
 name: Publish Prisma Migrations
 
+permissions:
+  contents: write
+  pull-requests: write
+
 on:
   push:
     paths:
@@ -24,6 +28,21 @@ jobs:
           --health-interval 10s
           --health-timeout 5s
           --health-retries 5
+      
+      # Add shadow database service
+      postgres_shadow:
+        image: postgres:14
+        env:
+          POSTGRES_DB: shadow_db
+          POSTGRES_USER: postgres
+          POSTGRES_PASSWORD: postgres
+        ports:
+          - 5433:5432
+        options: >-
+          --health-cmd pg_isready
+          --health-interval 10s
+          --health-timeout 5s
+          --health-retries 5
 
     steps:
       - uses: actions/checkout@v3
@@ -38,37 +57,86 @@ jobs:
           pip install prisma
           pip install python-dotenv
 
-      - name: Compare and Generate Migration
+      - name: Generate Initial Migration if None Exists
         env:
           DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
           DIRECT_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          SHADOW_DATABASE_URL: "postgresql://postgres:postgres@localhost:5433/shadow_db"
+        run: |
+          mkdir -p deploy/migrations
+          echo 'provider = "postgresql"' > deploy/migrations/migration_lock.toml
+          
+          if [ -z "$(ls -A deploy/migrations/2* 2>/dev/null)" ]; then
+            echo "No existing migrations found, creating baseline..."
+            VERSION=$(date +%Y%m%d%H%M%S)
+            mkdir -p deploy/migrations/${VERSION}_initial
+            
+            echo "Generating initial migration..."
+            # Save raw output for debugging
+            prisma migrate diff \
+              --from-empty \
+              --to-schema-datamodel schema.prisma \
+              --shadow-database-url "${SHADOW_DATABASE_URL}" \
+              --script > deploy/migrations/${VERSION}_initial/raw_migration.sql
+            
+            echo "Raw migration file content:"
+            cat deploy/migrations/${VERSION}_initial/raw_migration.sql
+            
+            echo "Cleaning migration file..."
+            # Clean the file
+            sed '/^Installing/d' deploy/migrations/${VERSION}_initial/raw_migration.sql > deploy/migrations/${VERSION}_initial/migration.sql
+            
+            # Verify the migration file
+            if [ ! -s deploy/migrations/${VERSION}_initial/migration.sql ]; then
+              echo "ERROR: Migration file is empty after cleaning"
+              echo "Original content was:"
+              cat deploy/migrations/${VERSION}_initial/raw_migration.sql
+              exit 1
+            fi
+            
+            echo "Final migration file content:"
+            cat deploy/migrations/${VERSION}_initial/migration.sql
+            
+            # Verify it starts with SQL
+            if ! head -n 1 deploy/migrations/${VERSION}_initial/migration.sql | grep -q "^--\|^CREATE\|^ALTER"; then
+              echo "ERROR: Migration file does not start with SQL command or comment"
+              echo "First line is:"
+              head -n 1 deploy/migrations/${VERSION}_initial/migration.sql
+              echo "Full content is:"
+              cat deploy/migrations/${VERSION}_initial/migration.sql
+              exit 1
+            fi
+            
+            echo "Initial migration generated at $(date -u)" > deploy/migrations/${VERSION}_initial/README.md
+          fi
+
+      - name: Compare and Generate Migration
+        if: success()
+        env:
+          DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          DIRECT_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          SHADOW_DATABASE_URL: "postgresql://postgres:postgres@localhost:5433/shadow_db"
         run: |
           # Create temporary migration workspace
           mkdir -p temp_migrations
           
-          # Copy existing migrations to temp workspace
-          cp -r deploy/migrations/* temp_migrations/
+          # Copy existing migrations (will not fail if directory is empty)
+          cp -r deploy/migrations/* temp_migrations/ 2>/dev/null || true
           
-          # Generate new migration by comparing against existing state
           VERSION=$(date +%Y%m%d%H%M%S)
           
-          # Use prisma migrate diff to generate the migration
+          # Generate diff against existing migrations or empty state
           prisma migrate diff \
             --from-migrations temp_migrations \
             --to-schema-datamodel schema.prisma \
+            --shadow-database-url "${SHADOW_DATABASE_URL}" \
             --script > temp_migrations/migration_${VERSION}.sql
           
           # Check if there are actual changes
           if [ -s temp_migrations/migration_${VERSION}.sql ]; then
             echo "Changes detected, creating new migration"
-            
-            # Create new migration directory
             mkdir -p deploy/migrations/${VERSION}_schema_update
-            
-            # Move the migration file
             mv temp_migrations/migration_${VERSION}.sql deploy/migrations/${VERSION}_schema_update/migration.sql
-            
-            # Create README with timestamp
             echo "Migration generated at $(date -u)" > deploy/migrations/${VERSION}_schema_update/README.md
           else
             echo "No schema changes detected"
@@ -80,17 +148,44 @@ jobs:
         env:
           DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
           DIRECT_URL: "postgresql://postgres:postgres@localhost:5432/temp_db"
+          SHADOW_DATABASE_URL: "postgresql://postgres:postgres@localhost:5433/shadow_db"
         run: |
+          # Create test database
+          psql "${SHADOW_DATABASE_URL}" -c 'CREATE DATABASE migration_test;'
+          
           # Apply all migrations in order to verify
           for migration in deploy/migrations/*/migration.sql; do
             echo "Applying migration: $migration"
-            psql $DATABASE_URL -f $migration
+            psql "${SHADOW_DATABASE_URL}" -f $migration
           done
 
+      # Add this step before create-pull-request to debug permissions
+      - name: Check Token Permissions
+        run: |
+          echo "Checking token permissions..."
+          curl -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
+               -H "Accept: application/vnd.github.v3+json" \
+               https://api.github.com/repos/BerriAI/litellm/collaborators
+          
+          echo "\nChecking if token can create PRs..."
+          curl -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
+               -H "Accept: application/vnd.github.v3+json" \
+               https://api.github.com/repos/BerriAI/litellm
+
+      # Add this debug step before git push
+      - name: Debug Changed Files
+        run: |
+          echo "Files staged for commit:"
+          git diff --name-status --staged
+          
+          echo "\nAll changed files:"
+          git status
+
       - name: Create Pull Request
         if: success()
         uses: peter-evans/create-pull-request@v5
         with:
+          token: ${{ secrets.GITHUB_TOKEN }}
           commit-message: "chore: update prisma migrations"
           title: "Update Prisma Migrations"
           body: |
@@ -100,4 +195,12 @@ jobs:
             - deploy/migrations/${VERSION}_schema_update/migration.sql
             - deploy/migrations/${VERSION}_schema_update/README.md
           branch: feat/prisma-migration-${{ env.VERSION }}
-          base: main 
\ No newline at end of file
+          base: main
+          delete-branch: true
+
+      - name: Generate and Save Migrations
+        run: |
+          # Only add migration files
+          git add deploy/migrations/
+          git status  # Debug what's being committed
+          git commit -m "chore: update prisma migrations" 

From e0880734d98be93a54f630007afc8e7fef35efe2 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 23:10:55 -0700
Subject: [PATCH 041/244] docs(config_settings.md): cleanup docs

---
 docs/my-website/docs/proxy/config_settings.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md
index 0e85223d45..0093464d93 100644
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@@ -479,7 +479,7 @@ router_settings:
 | PROXY_ADMIN_ID | Admin identifier for proxy server
 | PROXY_BASE_URL | Base URL for proxy service
 | PROXY_LOGOUT_URL | URL for logging out of the proxy service
-| PROXY_MASTER_KEY | Master key for proxy authentication
+| LITELLM_MASTER_KEY | Master key for proxy authentication
 | QDRANT_API_BASE | Base URL for Qdrant API
 | QDRANT_API_KEY | API key for Qdrant service
 | QDRANT_URL | Connection URL for Qdrant database

From 6e5d2b1ac77ef48fb4f65ef131799c8ca183bcf4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:14:44 -0700
Subject: [PATCH 042/244] handle failed db connections

---
 tests/proxy_unit_tests/test_auth_checks.py | 33 ----------------------
 1 file changed, 33 deletions(-)

diff --git a/tests/proxy_unit_tests/test_auth_checks.py b/tests/proxy_unit_tests/test_auth_checks.py
index 0eb1a38755..7695306c87 100644
--- a/tests/proxy_unit_tests/test_auth_checks.py
+++ b/tests/proxy_unit_tests/test_auth_checks.py
@@ -13,9 +13,6 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 import pytest, litellm
 import httpx
-from litellm.proxy.auth.auth_checks import (
-    _handle_failed_db_connection_for_get_key_object,
-)
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.auth_checks import get_end_user_object
 from litellm.caching.caching import DualCache
@@ -78,36 +75,6 @@ async def test_get_end_user_object(customer_spend, customer_budget):
             )
 
 
-@pytest.mark.asyncio
-async def test_handle_failed_db_connection():
-    """
-    Test cases:
-    1. When allow_requests_on_db_unavailable=True -> return UserAPIKeyAuth
-    2. When allow_requests_on_db_unavailable=False -> raise original error
-    """
-    from litellm.proxy.proxy_server import general_settings, litellm_proxy_admin_name
-
-    # Test case 1: allow_requests_on_db_unavailable=True
-    general_settings["allow_requests_on_db_unavailable"] = True
-    mock_error = httpx.ConnectError("Failed to connect to DB")
-
-    result = await _handle_failed_db_connection_for_get_key_object(e=mock_error)
-
-    assert isinstance(result, UserAPIKeyAuth)
-    assert result.key_name == "failed-to-connect-to-db"
-    assert result.token == "failed-to-connect-to-db"
-    assert result.user_id == litellm_proxy_admin_name
-
-    # Test case 2: allow_requests_on_db_unavailable=False
-    general_settings["allow_requests_on_db_unavailable"] = False
-
-    with pytest.raises(httpx.ConnectError) as exc_info:
-        await _handle_failed_db_connection_for_get_key_object(e=mock_error)
-    print("_handle_failed_db_connection_for_get_key_object got exception", exc_info)
-
-    assert str(exc_info.value) == "Failed to connect to DB"
-
-
 @pytest.mark.parametrize(
     "model, expect_to_work",
     [

From 8657816477ebc53e644af0dbe18d7b9e1fb3b777 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:20:43 -0700
Subject: [PATCH 043/244] fix gemini/gemini-2.0-flash-lite on model cost map

---
 litellm/model_prices_and_context_window_backup.json | 2 +-
 model_prices_and_context_window.json                | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index a098e8bd7d..f9eb63ccca 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4700,7 +4700,7 @@
         "supports_response_schema": true,
         "supports_audio_output": true,
         "supports_tool_choice": true,
-        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite",
+        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite"
     },
     "gemini/gemini-2.0-flash-001": {
         "max_tokens": 8192,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index a098e8bd7d..f9eb63ccca 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4700,7 +4700,7 @@
         "supports_response_schema": true,
         "supports_audio_output": true,
         "supports_tool_choice": true,
-        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite",
+        "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.0-flash-lite"
     },
     "gemini/gemini-2.0-flash-001": {
         "max_tokens": 8192,

From 6fd18651d129d606182ff4b980e95768fc43ca3d Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 25 Mar 2025 23:46:20 -0700
Subject: [PATCH 044/244] Support `litellm.api_base` for vertex_ai + gemini/
 across completion, embedding, image_generation (#9516)

* test(tests): add unit testing for litellm_proxy integration

* fix(cost_calculator.py): fix tracking cost in sdk when calling proxy

* fix(main.py): respect litellm.api_base on `vertex_ai/` and `gemini/` routes

* fix(main.py): consistently support custom api base across gemini + vertexai on embedding + completion

* feat(vertex_ai/): test

* fix: fix linting error

* test: set api base as None before starting loadtest
---
 litellm/cost_calculator.py                    |  9 ++-
 litellm/llms/vertex_ai/common_utils.py        | 14 +++-
 .../image_generation_handler.py               | 81 +++++++++++--------
 .../vertex_embeddings/embedding_handler.py    |  2 +-
 litellm/main.py                               | 28 +++++++
 litellm/proxy/_new_secret_config.yaml         |  2 +-
 tests/litellm/test_cost_calculator.py         |  6 +-
 .../test_litellm_proxy_provider.py            | 77 +++++++++++++++++-
 .../test_vertex_embeddings_load_test.py       |  3 +-
 .../test_amazing_vertex_completion.py         | 44 ++++++++++
 10 files changed, 223 insertions(+), 43 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 55736772af..f5731618a3 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -828,11 +828,14 @@ def get_response_cost_from_hidden_params(
         _hidden_params_dict = hidden_params
 
     additional_headers = _hidden_params_dict.get("additional_headers", {})
-    if additional_headers and "x-litellm-response-cost" in additional_headers:
-        response_cost = additional_headers["x-litellm-response-cost"]
+    if (
+        additional_headers
+        and "llm_provider-x-litellm-response-cost" in additional_headers
+    ):
+        response_cost = additional_headers["llm_provider-x-litellm-response-cost"]
         if response_cost is None:
             return None
-        return float(additional_headers["x-litellm-response-cost"])
+        return float(additional_headers["llm_provider-x-litellm-response-cost"])
     return None
 
 
diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index a3f91fbacc..0d792527b4 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -55,7 +55,9 @@ def get_supports_response_schema(
 
 from typing import Literal, Optional
 
-all_gemini_url_modes = Literal["chat", "embedding", "batch_embedding"]
+all_gemini_url_modes = Literal[
+    "chat", "embedding", "batch_embedding", "image_generation"
+]
 
 
 def _get_vertex_url(
@@ -91,7 +93,11 @@ def _get_vertex_url(
         if model.isdigit():
             # https://us-central1-aiplatform.googleapis.com/v1/projects/$PROJECT_ID/locations/us-central1/endpoints/$ENDPOINT_ID:predict
             url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/endpoints/{model}:{endpoint}"
-
+    elif mode == "image_generation":
+        endpoint = "predict"
+        url = f"https://{vertex_location}-aiplatform.googleapis.com/v1/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:{endpoint}"
+        if model.isdigit():
+            url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/endpoints/{model}:{endpoint}"
     if not url or not endpoint:
         raise ValueError(f"Unable to get vertex url/endpoint for mode: {mode}")
     return url, endpoint
@@ -127,6 +133,10 @@ def _get_gemini_url(
         url = "https://generativelanguage.googleapis.com/v1beta/{}:{}?key={}".format(
             _gemini_model_name, endpoint, gemini_api_key
         )
+    elif mode == "image_generation":
+        raise ValueError(
+            "LiteLLM's `gemini/` route does not support image generation yet. Let us know if you need this feature by opening an issue at https://github.com/BerriAI/litellm/issues"
+        )
 
     return url, endpoint
 
diff --git a/litellm/llms/vertex_ai/image_generation/image_generation_handler.py b/litellm/llms/vertex_ai/image_generation/image_generation_handler.py
index 1d5322c08d..e83f4b6f03 100644
--- a/litellm/llms/vertex_ai/image_generation/image_generation_handler.py
+++ b/litellm/llms/vertex_ai/image_generation/image_generation_handler.py
@@ -43,22 +43,23 @@ class VertexImageGeneration(VertexLLM):
     def image_generation(
         self,
         prompt: str,
+        api_base: Optional[str],
         vertex_project: Optional[str],
         vertex_location: Optional[str],
         vertex_credentials: Optional[VERTEX_CREDENTIALS_TYPES],
         model_response: ImageResponse,
         logging_obj: Any,
-        model: Optional[
-            str
-        ] = "imagegeneration",  # vertex ai uses imagegeneration as the default model
+        model: str = "imagegeneration",  # vertex ai uses imagegeneration as the default model
         client: Optional[Any] = None,
         optional_params: Optional[dict] = None,
         timeout: Optional[int] = None,
         aimg_generation=False,
+        extra_headers: Optional[dict] = None,
     ) -> ImageResponse:
         if aimg_generation is True:
             return self.aimage_generation(  # type: ignore
                 prompt=prompt,
+                api_base=api_base,
                 vertex_project=vertex_project,
                 vertex_location=vertex_location,
                 vertex_credentials=vertex_credentials,
@@ -83,13 +84,27 @@ class VertexImageGeneration(VertexLLM):
         else:
             sync_handler = client  # type: ignore
 
-        url = f"https://{vertex_location}-aiplatform.googleapis.com/v1/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:predict"
+        # url = f"https://{vertex_location}-aiplatform.googleapis.com/v1/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:predict"
 
+        auth_header: Optional[str] = None
         auth_header, _ = self._ensure_access_token(
             credentials=vertex_credentials,
             project_id=vertex_project,
             custom_llm_provider="vertex_ai",
         )
+        auth_header, api_base = self._get_token_and_url(
+            model=model,
+            gemini_api_key=None,
+            auth_header=auth_header,
+            vertex_project=vertex_project,
+            vertex_location=vertex_location,
+            vertex_credentials=vertex_credentials,
+            stream=False,
+            custom_llm_provider="vertex_ai",
+            api_base=api_base,
+            should_use_v1beta1_features=False,
+            mode="image_generation",
+        )
         optional_params = optional_params or {
             "sampleCount": 1
         }  # default optional params
@@ -99,31 +114,21 @@ class VertexImageGeneration(VertexLLM):
             "parameters": optional_params,
         }
 
-        request_str = f"\n curl -X POST \\\n -H \"Authorization: Bearer {auth_header[:10] + 'XXXXXXXXXX'}\" \\\n -H \"Content-Type: application/json; charset=utf-8\" \\\n -d {request_data} \\\n \"{url}\""
-        logging_obj.pre_call(
-            input=prompt,
-            api_key=None,
-            additional_args={
-                "complete_input_dict": optional_params,
-                "request_str": request_str,
-            },
-        )
+        headers = self.set_headers(auth_header=auth_header, extra_headers=extra_headers)
 
         logging_obj.pre_call(
             input=prompt,
-            api_key=None,
+            api_key="",
             additional_args={
                 "complete_input_dict": optional_params,
-                "request_str": request_str,
+                "api_base": api_base,
+                "headers": headers,
             },
         )
 
         response = sync_handler.post(
-            url=url,
-            headers={
-                "Content-Type": "application/json; charset=utf-8",
-                "Authorization": f"Bearer {auth_header}",
-            },
+            url=api_base,
+            headers=headers,
             data=json.dumps(request_data),
         )
 
@@ -138,17 +143,17 @@ class VertexImageGeneration(VertexLLM):
     async def aimage_generation(
         self,
         prompt: str,
+        api_base: Optional[str],
         vertex_project: Optional[str],
         vertex_location: Optional[str],
         vertex_credentials: Optional[VERTEX_CREDENTIALS_TYPES],
         model_response: litellm.ImageResponse,
         logging_obj: Any,
-        model: Optional[
-            str
-        ] = "imagegeneration",  # vertex ai uses imagegeneration as the default model
+        model: str = "imagegeneration",  # vertex ai uses imagegeneration as the default model
         client: Optional[AsyncHTTPHandler] = None,
         optional_params: Optional[dict] = None,
         timeout: Optional[int] = None,
+        extra_headers: Optional[dict] = None,
     ):
         response = None
         if client is None:
@@ -169,7 +174,6 @@ class VertexImageGeneration(VertexLLM):
 
         # make POST request to
         # https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/imagegeneration:predict
-        url = f"https://{vertex_location}-aiplatform.googleapis.com/v1/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:predict"
 
         """
         Docs link: https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/imagegeneration?project=adroit-crow-413218
@@ -188,11 +192,25 @@ class VertexImageGeneration(VertexLLM):
         } \
         "https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/imagegeneration:predict"
         """
+        auth_header: Optional[str] = None
         auth_header, _ = self._ensure_access_token(
             credentials=vertex_credentials,
             project_id=vertex_project,
             custom_llm_provider="vertex_ai",
         )
+        auth_header, api_base = self._get_token_and_url(
+            model=model,
+            gemini_api_key=None,
+            auth_header=auth_header,
+            vertex_project=vertex_project,
+            vertex_location=vertex_location,
+            vertex_credentials=vertex_credentials,
+            stream=False,
+            custom_llm_provider="vertex_ai",
+            api_base=api_base,
+            should_use_v1beta1_features=False,
+            mode="image_generation",
+        )
         optional_params = optional_params or {
             "sampleCount": 1
         }  # default optional params
@@ -202,22 +220,21 @@ class VertexImageGeneration(VertexLLM):
             "parameters": optional_params,
         }
 
-        request_str = f"\n curl -X POST \\\n -H \"Authorization: Bearer {auth_header[:10] + 'XXXXXXXXXX'}\" \\\n -H \"Content-Type: application/json; charset=utf-8\" \\\n -d {request_data} \\\n \"{url}\""
+        headers = self.set_headers(auth_header=auth_header, extra_headers=extra_headers)
+
         logging_obj.pre_call(
             input=prompt,
-            api_key=None,
+            api_key="",
             additional_args={
                 "complete_input_dict": optional_params,
-                "request_str": request_str,
+                "api_base": api_base,
+                "headers": headers,
             },
         )
 
         response = await self.async_handler.post(
-            url=url,
-            headers={
-                "Content-Type": "application/json; charset=utf-8",
-                "Authorization": f"Bearer {auth_header}",
-            },
+            url=api_base,
+            headers=headers,
             data=json.dumps(request_data),
         )
 
diff --git a/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py b/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
index 3ef40703e8..2e8051d4d2 100644
--- a/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
+++ b/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
@@ -111,7 +111,7 @@ class VertexEmbedding(VertexBase):
         )
 
         try:
-            response = client.post(api_base, headers=headers, json=vertex_request)  # type: ignore
+            response = client.post(url=api_base, headers=headers, json=vertex_request)  # type: ignore
             response.raise_for_status()
         except httpx.HTTPStatusError as err:
             error_code = err.response.status_code
diff --git a/litellm/main.py b/litellm/main.py
index 3d4152d634..94e19aab0c 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -2350,6 +2350,8 @@ def completion(  # type: ignore # noqa: PLR0915
                 or litellm.api_key
             )
 
+            api_base = api_base or litellm.api_base or get_secret("GEMINI_API_BASE")
+
             new_params = deepcopy(optional_params)
             response = vertex_chat_completion.completion(  # type: ignore
                 model=model,
@@ -2392,6 +2394,8 @@ def completion(  # type: ignore # noqa: PLR0915
                 or get_secret("VERTEXAI_CREDENTIALS")
             )
 
+            api_base = api_base or litellm.api_base or get_secret("VERTEXAI_API_BASE")
+
             new_params = deepcopy(optional_params)
             if (
                 model.startswith("meta/")
@@ -3657,6 +3661,8 @@ def embedding(  # noqa: PLR0915
                 api_key or get_secret_str("GEMINI_API_KEY") or litellm.api_key
             )
 
+            api_base = api_base or litellm.api_base or get_secret_str("GEMINI_API_BASE")
+
             response = google_batch_embeddings.batch_embeddings(  # type: ignore
                 model=model,
                 input=input,
@@ -3671,6 +3677,8 @@ def embedding(  # noqa: PLR0915
                 print_verbose=print_verbose,
                 custom_llm_provider="gemini",
                 api_key=gemini_api_key,
+                api_base=api_base,
+                client=client,
             )
 
         elif custom_llm_provider == "vertex_ai":
@@ -3695,6 +3703,13 @@ def embedding(  # noqa: PLR0915
                 or get_secret_str("VERTEX_CREDENTIALS")
             )
 
+            api_base = (
+                api_base
+                or litellm.api_base
+                or get_secret_str("VERTEXAI_API_BASE")
+                or get_secret_str("VERTEX_API_BASE")
+            )
+
             if (
                 "image" in optional_params
                 or "video" in optional_params
@@ -3716,6 +3731,7 @@ def embedding(  # noqa: PLR0915
                     print_verbose=print_verbose,
                     custom_llm_provider="vertex_ai",
                     client=client,
+                    api_base=api_base,
                 )
             else:
                 response = vertex_embedding.embedding(
@@ -3733,6 +3749,8 @@ def embedding(  # noqa: PLR0915
                     aembedding=aembedding,
                     print_verbose=print_verbose,
                     api_key=api_key,
+                    api_base=api_base,
+                    client=client,
                 )
         elif custom_llm_provider == "oobabooga":
             response = oobabooga.embedding(
@@ -4695,6 +4713,14 @@ def image_generation(  # noqa: PLR0915
                 or optional_params.pop("vertex_ai_credentials", None)
                 or get_secret_str("VERTEXAI_CREDENTIALS")
             )
+
+            api_base = (
+                api_base
+                or litellm.api_base
+                or get_secret_str("VERTEXAI_API_BASE")
+                or get_secret_str("VERTEX_API_BASE")
+            )
+
             model_response = vertex_image_generation.image_generation(
                 model=model,
                 prompt=prompt,
@@ -4706,6 +4732,8 @@ def image_generation(  # noqa: PLR0915
                 vertex_location=vertex_ai_location,
                 vertex_credentials=vertex_credentials,
                 aimg_generation=aimg_generation,
+                api_base=api_base,
+                client=client,
             )
         elif (
             custom_llm_provider in litellm._custom_providers
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index cf09749d81..09db9f10ee 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -1,5 +1,5 @@
 model_list:
- - model_name: "gpt-3.5-turbo"
+ - model_name: "gpt-4o"
    litellm_params:
     model: azure/chatgpt-v-2
     api_key: os.environ/AZURE_API_KEY
diff --git a/tests/litellm/test_cost_calculator.py b/tests/litellm/test_cost_calculator.py
index 9c9f6d9043..c0073e2c56 100644
--- a/tests/litellm/test_cost_calculator.py
+++ b/tests/litellm/test_cost_calculator.py
@@ -15,9 +15,11 @@ from pydantic import BaseModel
 from litellm.cost_calculator import response_cost_calculator
 
 
-def test_cost_calculator():
+def test_cost_calculator_with_response_cost_in_additional_headers():
     class MockResponse(BaseModel):
-        _hidden_params = {"additional_headers": {"x-litellm-response-cost": 1000}}
+        _hidden_params = {
+            "additional_headers": {"llm_provider-x-litellm-response-cost": 1000}
+        }
 
     result = response_cost_calculator(
         response_object=MockResponse(),
diff --git a/tests/llm_translation/test_litellm_proxy_provider.py b/tests/llm_translation/test_litellm_proxy_provider.py
index 8484a66dad..c38e386063 100644
--- a/tests/llm_translation/test_litellm_proxy_provider.py
+++ b/tests/llm_translation/test_litellm_proxy_provider.py
@@ -31,7 +31,7 @@ async def test_litellm_gateway_from_sdk():
     openai_client = OpenAI(api_key="fake-key")
 
     with patch.object(
-        openai_client.chat.completions, "create", new=MagicMock()
+        openai_client.chat.completions.with_raw_response, "create", new=MagicMock()
     ) as mock_call:
         try:
             completion(
@@ -374,3 +374,78 @@ async def test_litellm_gateway_from_sdk_rerank(is_async):
         assert request_body["query"] == "What is machine learning?"
         assert request_body["model"] == "rerank-english-v2.0"
         assert len(request_body["documents"]) == 2
+
+
+def test_litellm_gateway_from_sdk_with_response_cost_in_additional_headers():
+    litellm.set_verbose = True
+    litellm._turn_on_debug()
+
+    from openai import OpenAI
+
+    openai_client = OpenAI(api_key="fake-key")
+
+    # Create mock response object
+    mock_response = MagicMock()
+    mock_response.headers = {"x-litellm-response-cost": "120"}
+    mock_response.parse.return_value = litellm.ModelResponse(
+        **{
+            "id": "chatcmpl-BEkxQvRGp9VAushfAsOZCbhMFLsoy",
+            "choices": [
+                {
+                    "finish_reason": "stop",
+                    "index": 0,
+                    "logprobs": None,
+                    "message": {
+                        "content": "Hello! How can I assist you today?",
+                        "refusal": None,
+                        "role": "assistant",
+                        "annotations": [],
+                        "audio": None,
+                        "function_call": None,
+                        "tool_calls": None,
+                    },
+                }
+            ],
+            "created": 1742856796,
+            "model": "gpt-4o-2024-08-06",
+            "object": "chat.completion",
+            "service_tier": "default",
+            "system_fingerprint": "fp_6ec83003ad",
+            "usage": {
+                "completion_tokens": 10,
+                "prompt_tokens": 9,
+                "total_tokens": 19,
+                "completion_tokens_details": {
+                    "accepted_prediction_tokens": 0,
+                    "audio_tokens": 0,
+                    "reasoning_tokens": 0,
+                    "rejected_prediction_tokens": 0,
+                },
+                "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0},
+            },
+        }
+    )
+
+    with patch.object(
+        openai_client.chat.completions.with_raw_response,
+        "create",
+        return_value=mock_response,
+    ) as mock_call:
+        response = litellm.completion(
+            model="litellm_proxy/gpt-4o",
+            messages=[{"role": "user", "content": "Hello world"}],
+            api_base="http://0.0.0.0:4000",
+            api_key="sk-PIp1h0RekR",
+            client=openai_client,
+        )
+
+        # Assert the headers were properly passed through
+        print(f"additional_headers: {response._hidden_params['additional_headers']}")
+        assert (
+            response._hidden_params["additional_headers"][
+                "llm_provider-x-litellm-response-cost"
+            ]
+            == "120"
+        )
+
+        assert response._hidden_params["response_cost"] == 120
diff --git a/tests/load_tests/test_vertex_embeddings_load_test.py b/tests/load_tests/test_vertex_embeddings_load_test.py
index eb440c9437..24543e29d0 100644
--- a/tests/load_tests/test_vertex_embeddings_load_test.py
+++ b/tests/load_tests/test_vertex_embeddings_load_test.py
@@ -109,12 +109,13 @@ def analyze_results(vertex_times):
 
 
 @pytest.mark.asyncio
-async def test_embedding_performance():
+async def test_embedding_performance(monkeypatch):
     """
     Run load test on vertex AI embeddings to ensure vertex median response time is less than 300ms
 
     20 RPS for 20 seconds
     """
+    monkeypatch.setattr(litellm, "api_base", None)
     duration_seconds = 20
     requests_per_second = 20
     vertex_times = await run_load_test(duration_seconds, requests_per_second)
diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 25993d6d5b..5e3ebf6a66 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -31,6 +31,7 @@ from litellm import (
     completion,
     completion_cost,
     embedding,
+    image_generation,
 )
 from litellm.llms.vertex_ai.gemini.transformation import (
     _gemini_convert_messages_with_history,
@@ -3327,3 +3328,46 @@ def test_signed_s3_url_with_format():
         json_str = json.dumps(mock_client.call_args.kwargs["json"])
         assert "image/jpeg" in json_str
         assert "image/png" not in json_str
+
+
+@pytest.mark.parametrize("provider", ["vertex_ai", "gemini"])
+@pytest.mark.parametrize("route", ["completion", "embedding", "image_generation"])
+def test_litellm_api_base(monkeypatch, provider, route):
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    client = HTTPHandler()
+
+    import litellm
+
+    monkeypatch.setattr(litellm, "api_base", "https://litellm.com")
+
+    load_vertex_ai_credentials()
+
+    if route == "image_generation" and provider == "gemini":
+        pytest.skip("Gemini does not support image generation")
+
+    with patch.object(client, "post", new=MagicMock()) as mock_client:
+        try:
+            if route == "completion":
+                response = completion(
+                    model=f"{provider}/gemini-2.0-flash-001",
+                    messages=[{"role": "user", "content": "Hello, world!"}],
+                    client=client,
+                )
+            elif route == "embedding":
+                response = embedding(
+                    model=f"{provider}/gemini-2.0-flash-001",
+                    input=["Hello, world!"],
+                    client=client,
+                )
+            elif route == "image_generation":
+                response = image_generation(
+                    model=f"{provider}/gemini-2.0-flash-001",
+                    prompt="Hello, world!",
+                    client=client,
+                )
+        except Exception as e:
+            print(e)
+
+        mock_client.assert_called()
+        assert mock_client.call_args.kwargs["url"].startswith("https://litellm.com")

From efce84815adfbf3cd8301855e484c563c8a5e3ea Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:54:06 -0700
Subject: [PATCH 045/244] test_gemini_fine_tuned_model_request_consistency

---
 .../test_amazing_vertex_completion.py         | 93 +++++++++++++++++++
 1 file changed, 93 insertions(+)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 25993d6d5b..7134c3536e 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -3327,3 +3327,96 @@ def test_signed_s3_url_with_format():
         json_str = json.dumps(mock_client.call_args.kwargs["json"])
         assert "image/jpeg" in json_str
         assert "image/png" not in json_str
+
+
+def test_gemini_fine_tuned_model_request_consistency():
+    """
+    Assert the same transformation is applied to Fine tuned gemini 2.0 flash and gemini 2.0 flash
+
+    - Request 1: Fine tuned: vertex_ai/ft-uuid with base_model: vertex_ai/gemini-2.0-flash-001
+    - Request 2: vertex_ai/gemini-2.0-flash-001
+    """
+    litellm.set_verbose = True
+    load_vertex_ai_credentials()
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+    from unittest.mock import patch, MagicMock
+
+    # Set up the messages
+    messages = [
+        {
+            "role": "system",
+            "content": "Your name is Litellm Bot, you are a helpful assistant",
+        },
+        {
+            "role": "user",
+            "content": "Hello, what is your name and can you tell me the weather?",
+        },
+    ]
+
+    # Define tools
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_weather",
+                "description": "Get the current weather in a given location",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                        }
+                    },
+                    "required": ["location"],
+                },
+            },
+        }
+    ]
+
+    client = HTTPHandler(concurrent_limit=1)
+
+    # First request
+    with patch.object(client, "post", new=MagicMock()) as mock_post_1:
+        try:
+            response_1 = completion(
+                model="vertex_ai/ft-uuid",
+                base_model="vertex_ai/gemini-2.0-flash-001",
+                messages=messages,
+                tools=tools,
+                tool_choice="auto",
+                client=client,
+            )
+
+        except Exception as e:
+            print(e)
+
+        # Store the request body from the first call
+        first_request_body = mock_post_1.call_args.kwargs["json"]
+        print("first_request_body", first_request_body)
+
+    # Second request
+    with patch.object(client, "post", new=MagicMock()) as mock_post_2:
+        try:
+            response_2 = completion(
+                model="vertex_ai/gemini-2.0-flash-001",
+                messages=messages,
+                tools=tools,
+                tool_choice="auto",
+                client=client,
+            )
+        except Exception as e:
+            print(e)
+
+        # Store the request body from the second call
+        second_request_body = mock_post_2.call_args.kwargs["json"]
+        print("second_request_body", second_request_body)
+
+    # Get the diff between the two request bodies
+    # Convert dictionaries to formatted JSON strings
+    import json
+
+    first_json = json.dumps(first_request_body, indent=2).splitlines()
+    second_json = json.dumps(second_request_body, indent=2).splitlines()
+    # Assert there is no difference between the request bodies
+    assert first_json == second_json, "Request bodies should be identical"

From aa8ba9b8f295486b1c0bf744b733188d5f223fad Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:54:29 -0700
Subject: [PATCH 046/244] fix base_model in param mapping

---
 litellm/utils.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/litellm/utils.py b/litellm/utils.py
index dc97c4d898..ad9ba936ab 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2847,11 +2847,16 @@ def get_optional_params(  # noqa: PLR0915
     additional_drop_params=None,
     messages: Optional[List[AllMessageValues]] = None,
     thinking: Optional[AnthropicThinkingParam] = None,
+    base_model: Optional[str] = None,
     **kwargs,
 ):
     # retrieve all parameters passed to the function
     passed_params = locals().copy()
     special_params = passed_params.pop("kwargs")
+
+    # Use `base_model` for paramter mapping if passed in by user
+    if base_model is not None:
+        model = base_model
     for k, v in special_params.items():
         if k.startswith("aws_") and (
             custom_llm_provider != "bedrock" and custom_llm_provider != "sagemaker"

From 830ecbdb8c3485c5a7fbf26072ff8b40284ff262 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Tue, 25 Mar 2025 23:54:57 -0700
Subject: [PATCH 047/244] fix get_optional_params

---
 litellm/main.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/litellm/main.py b/litellm/main.py
index 3d4152d634..5eb38a6bd1 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -1100,6 +1100,7 @@ def completion(  # type: ignore # noqa: PLR0915
             user=user,
             # params to identify the model
             model=model,
+            base_model=base_model,
             custom_llm_provider=custom_llm_provider,
             response_format=response_format,
             seed=seed,

From 2bef0481af0840de7a2b16e5f4b8120111658da4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 00:05:45 -0700
Subject: [PATCH 048/244] _transform_request_body

---
 .../litellm_core_utils/llm_request_utils.py   | 123 +++++++++++-------
 .../llms/vertex_ai/gemini/transformation.py   |   6 +
 litellm/utils.py                              |  14 +-
 3 files changed, 88 insertions(+), 55 deletions(-)

diff --git a/litellm/litellm_core_utils/llm_request_utils.py b/litellm/litellm_core_utils/llm_request_utils.py
index 50dbdc5536..8cfa48e937 100644
--- a/litellm/litellm_core_utils/llm_request_utils.py
+++ b/litellm/litellm_core_utils/llm_request_utils.py
@@ -3,66 +3,89 @@ from typing import Dict, Optional
 import litellm
 
 
-def _ensure_extra_body_is_safe(extra_body: Optional[Dict]) -> Optional[Dict]:
-    """
-    Ensure that the extra_body sent in the request is safe,  otherwise users will see this error
+class LitellmCoreRequestUtils:
 
-    "Object of type TextPromptClient is not JSON serializable
+    @staticmethod
+    def _ensure_extra_body_is_safe(extra_body: Optional[Dict]) -> Optional[Dict]:
+        """
+        Ensure that the extra_body sent in the request is safe,  otherwise users will see this error
+
+        "Object of type TextPromptClient is not JSON serializable
 
 
-    Relevant Issue: https://github.com/BerriAI/litellm/issues/4140
-    """
-    if extra_body is None:
-        return None
+        Relevant Issue: https://github.com/BerriAI/litellm/issues/4140
+        """
+        if extra_body is None:
+            return None
+
+        if not isinstance(extra_body, dict):
+            return extra_body
+
+        if "metadata" in extra_body and isinstance(extra_body["metadata"], dict):
+            if "prompt" in extra_body["metadata"]:
+                _prompt = extra_body["metadata"].get("prompt")
+
+                # users can send Langfuse TextPromptClient objects, so we need to convert them to dicts
+                # Langfuse TextPromptClients have .__dict__ attribute
+                if _prompt is not None and hasattr(_prompt, "__dict__"):
+                    extra_body["metadata"]["prompt"] = _prompt.__dict__
 
-    if not isinstance(extra_body, dict):
         return extra_body
 
-    if "metadata" in extra_body and isinstance(extra_body["metadata"], dict):
-        if "prompt" in extra_body["metadata"]:
-            _prompt = extra_body["metadata"].get("prompt")
+    @staticmethod
+    def pick_cheapest_chat_models_from_llm_provider(custom_llm_provider: str, n=1):
+        """
+        Pick the n cheapest chat models from the LLM provider.
 
-            # users can send Langfuse TextPromptClient objects, so we need to convert them to dicts
-            # Langfuse TextPromptClients have .__dict__ attribute
-            if _prompt is not None and hasattr(_prompt, "__dict__"):
-                extra_body["metadata"]["prompt"] = _prompt.__dict__
+        Args:
+            custom_llm_provider (str): The name of the LLM provider.
+            n (int): The number of cheapest models to return.
 
-    return extra_body
+        Returns:
+            list[str]: A list of the n cheapest chat models.
+        """
+        if custom_llm_provider not in litellm.models_by_provider:
+            return []
 
+        known_models = litellm.models_by_provider.get(custom_llm_provider, [])
+        model_costs = []
 
-def pick_cheapest_chat_models_from_llm_provider(custom_llm_provider: str, n=1):
-    """
-    Pick the n cheapest chat models from the LLM provider.
-
-    Args:
-        custom_llm_provider (str): The name of the LLM provider.
-        n (int): The number of cheapest models to return.
-
-    Returns:
-        list[str]: A list of the n cheapest chat models.
-    """
-    if custom_llm_provider not in litellm.models_by_provider:
-        return []
-
-    known_models = litellm.models_by_provider.get(custom_llm_provider, [])
-    model_costs = []
-
-    for model in known_models:
-        try:
-            model_info = litellm.get_model_info(
-                model=model, custom_llm_provider=custom_llm_provider
+        for model in known_models:
+            try:
+                model_info = litellm.get_model_info(
+                    model=model, custom_llm_provider=custom_llm_provider
+                )
+            except Exception:
+                continue
+            if model_info.get("mode") != "chat":
+                continue
+            _cost = model_info.get("input_cost_per_token", 0) + model_info.get(
+                "output_cost_per_token", 0
             )
-        except Exception:
-            continue
-        if model_info.get("mode") != "chat":
-            continue
-        _cost = model_info.get("input_cost_per_token", 0) + model_info.get(
-            "output_cost_per_token", 0
-        )
-        model_costs.append((model, _cost))
+            model_costs.append((model, _cost))
 
-    # Sort by cost (ascending)
-    model_costs.sort(key=lambda x: x[1])
+        # Sort by cost (ascending)
+        model_costs.sort(key=lambda x: x[1])
 
-    # Return the top n cheapest models
-    return [model for model, _ in model_costs[:n]]
+        # Return the top n cheapest models
+        return [model for model, _ in model_costs[:n]]
+
+    @staticmethod
+    def select_model_for_request_transformation(
+        model: str,
+        base_model: Optional[str] = None,
+        litellm_params: Optional[Dict] = None,
+    ) -> str:
+        """
+        If `base_model` is passed in by user, use it for the request transformation
+
+        Else, use the model passed in the request
+        """
+        if base_model is not None:
+            return base_model
+        elif (
+            litellm_params is not None and litellm_params.get("base_model") is not None
+        ):
+            return litellm_params["base_model"]
+        else:
+            return model
diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py
index d6bafc7c60..5534ca03ce 100644
--- a/litellm/llms/vertex_ai/gemini/transformation.py
+++ b/litellm/llms/vertex_ai/gemini/transformation.py
@@ -12,6 +12,7 @@ from pydantic import BaseModel
 
 import litellm
 from litellm._logging import verbose_logger
+from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
 from litellm.litellm_core_utils.prompt_templates.factory import (
     convert_to_anthropic_image_obj,
     convert_to_gemini_tool_call_invoke,
@@ -284,6 +285,11 @@ def _transform_request_body(
     Common transformation logic across sync + async Gemini /generateContent calls.
     """
     # Separate system prompt from rest of message
+    model = LitellmCoreRequestUtils.select_model_for_request_transformation(
+        model=model,
+        litellm_params=litellm_params,
+    )
+
     supports_system_message = get_supports_system_message(
         model=model, custom_llm_provider=custom_llm_provider
     )
diff --git a/litellm/utils.py b/litellm/utils.py
index ad9ba936ab..bcf22e902c 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -84,7 +84,7 @@ from litellm.litellm_core_utils.get_llm_provider_logic import (
 from litellm.litellm_core_utils.get_supported_openai_params import (
     get_supported_openai_params,
 )
-from litellm.litellm_core_utils.llm_request_utils import _ensure_extra_body_is_safe
+from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
 from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import (
     LiteLLMResponseObjectHandler,
     _handle_invalid_parallel_tool_calls,
@@ -2855,8 +2855,10 @@ def get_optional_params(  # noqa: PLR0915
     special_params = passed_params.pop("kwargs")
 
     # Use `base_model` for paramter mapping if passed in by user
-    if base_model is not None:
-        model = base_model
+    model = LitellmCoreRequestUtils.select_model_for_request_transformation(
+        model=model,
+        base_model=base_model,
+    )
     for k, v in special_params.items():
         if k.startswith("aws_") and (
             custom_llm_provider != "bedrock" and custom_llm_provider != "sagemaker"
@@ -3738,8 +3740,10 @@ def get_optional_params(  # noqa: PLR0915
                 **extra_body,
             }
 
-            optional_params["extra_body"] = _ensure_extra_body_is_safe(
-                extra_body=optional_params["extra_body"]
+            optional_params["extra_body"] = (
+                LitellmCoreRequestUtils._ensure_extra_body_is_safe(
+                    extra_body=optional_params["extra_body"]
+                )
             )
     else:
         # if user passed in non-default kwargs for specific providers/models, pass them along

From 27c085cc56f91965c7393da0840cdea1492ead60 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 00:08:16 -0700
Subject: [PATCH 049/244] fix util vertex

---
 litellm/main.py                         | 10 +++++-----
 tests/litellm_utils_tests/test_utils.py | 20 +++++++++++++++++---
 2 files changed, 22 insertions(+), 8 deletions(-)

diff --git a/litellm/main.py b/litellm/main.py
index 5eb38a6bd1..af0dc1f5b6 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -59,9 +59,7 @@ from litellm.litellm_core_utils.health_check_utils import (
     _filter_model_params,
 )
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
-from litellm.litellm_core_utils.llm_request_utils import (
-    pick_cheapest_chat_models_from_llm_provider,
-)
+from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
 from litellm.litellm_core_utils.mock_functions import (
     mock_embedding,
     mock_image_generation,
@@ -5424,8 +5422,10 @@ async def ahealth_check_wildcard_models(
 ) -> dict:
 
     # this is a wildcard model, we need to pick a random model from the provider
-    cheapest_models = pick_cheapest_chat_models_from_llm_provider(
-        custom_llm_provider=custom_llm_provider, n=3
+    cheapest_models = (
+        LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
+            custom_llm_provider=custom_llm_provider, n=3
+        )
     )
     if len(cheapest_models) == 0:
         raise Exception(
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index fea225e4a3..ef9bf30c13 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -1532,12 +1532,26 @@ def test_supports_vision_gemini():
 
 def test_pick_cheapest_chat_model_from_llm_provider():
     from litellm.litellm_core_utils.llm_request_utils import (
-        pick_cheapest_chat_models_from_llm_provider,
+        LitellmCoreRequestUtils,
     )
 
-    assert len(pick_cheapest_chat_models_from_llm_provider("openai", n=3)) == 3
+    assert (
+        len(
+            LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
+                "openai", n=3
+            )
+        )
+        == 3
+    )
 
-    assert len(pick_cheapest_chat_models_from_llm_provider("unknown", n=1)) == 0
+    assert (
+        len(
+            LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
+                "unknown", n=1
+            )
+        )
+        == 0
+    )
 
 
 def test_get_potential_model_names():

From fb31006cd847d921c9487c326c560dfd537e0f8d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 07:12:25 -0700
Subject: [PATCH 050/244] select_model_for_request_transformation

---
 litellm/main.py  | 6 ++++--
 litellm/utils.py | 6 ------
 2 files changed, 4 insertions(+), 8 deletions(-)

diff --git a/litellm/main.py b/litellm/main.py
index af0dc1f5b6..8ebf66fd06 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -1097,8 +1097,10 @@ def completion(  # type: ignore # noqa: PLR0915
             logit_bias=logit_bias,
             user=user,
             # params to identify the model
-            model=model,
-            base_model=base_model,
+            model=LitellmCoreRequestUtils.select_model_for_request_transformation(
+                model=model,
+                base_model=base_model,
+            ),
             custom_llm_provider=custom_llm_provider,
             response_format=response_format,
             seed=seed,
diff --git a/litellm/utils.py b/litellm/utils.py
index bcf22e902c..45fa9fa1fd 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2847,18 +2847,12 @@ def get_optional_params(  # noqa: PLR0915
     additional_drop_params=None,
     messages: Optional[List[AllMessageValues]] = None,
     thinking: Optional[AnthropicThinkingParam] = None,
-    base_model: Optional[str] = None,
     **kwargs,
 ):
     # retrieve all parameters passed to the function
     passed_params = locals().copy()
     special_params = passed_params.pop("kwargs")
 
-    # Use `base_model` for paramter mapping if passed in by user
-    model = LitellmCoreRequestUtils.select_model_for_request_transformation(
-        model=model,
-        base_model=base_model,
-    )
     for k, v in special_params.items():
         if k.startswith("aws_") and (
             custom_llm_provider != "bedrock" and custom_llm_provider != "sagemaker"

From e7a8b5a8092668671c25a46a94990c279b279203 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 08:12:51 -0700
Subject: [PATCH 051/244] run ci/cd again

---
 tests/local_testing/test_completion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py
index 59f5a38f08..dd8b26141c 100644
--- a/tests/local_testing/test_completion.py
+++ b/tests/local_testing/test_completion.py
@@ -11,7 +11,7 @@ import os
 
 sys.path.insert(
     0, os.path.abspath("../..")
-)  # Adds the parent directory to the system-path
+)  # Adds the parent directory to the system path
 
 
 import os

From 22dfc4dea998b1327e187b60aaf64f4d3612cb2b Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 08:36:11 -0700
Subject: [PATCH 052/244] fix user_api_key_auth example config

---
 litellm/proxy/example_config_yaml/custom_auth.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/example_config_yaml/custom_auth.py b/litellm/proxy/example_config_yaml/custom_auth.py
index 7d797623c5..e59db22719 100644
--- a/litellm/proxy/example_config_yaml/custom_auth.py
+++ b/litellm/proxy/example_config_yaml/custom_auth.py
@@ -7,7 +7,7 @@ from litellm.proxy._types import GenerateKeyRequest, UserAPIKeyAuth
 
 async def user_api_key_auth(request: Request, api_key: str) -> UserAPIKeyAuth:
     try:
-        modified_master_key = f"{os.getenv('PROXY_MASTER_KEY')}-1234"
+        modified_master_key = f"{os.getenv('LITELLM_MASTER_KEY')}-1234"
         if api_key == modified_master_key:
             return UserAPIKeyAuth(api_key=api_key)
         raise Exception

From 7123b69ccaae63f4bb4c463f5c5da06f65f622da Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 08:42:55 -0700
Subject: [PATCH 053/244] fix caching unit tests

---
 .circleci/config.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 304f96bdbb..6a87d8b1b2 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -242,7 +242,6 @@ jobs:
 
     steps:
       - checkout
-      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |

From e5a5dca777b7efacdaaa50238031ca7bba46fb0c Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 08:46:23 -0700
Subject: [PATCH 054/244] fix load_testing

---
 .circleci/config.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 6a87d8b1b2..38614e657e 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -629,7 +629,6 @@ jobs:
 
     steps:
       - checkout
-      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |

From c3dc4a2ecdd3cc4415a7dd2688d274f87806bbe1 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 08:55:18 -0700
Subject: [PATCH 055/244] fix DNS resolution

---
 .circleci/config.yml | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 38614e657e..67af43f8f8 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -9,7 +9,11 @@ commands:
       - run:
           name: "Configure Google DNS"
           command: |
-            echo "nameserver 8.8.8.8" | sudo tee /etc/resolv.conf
+            # Backup original resolv.conf
+            sudo cp /etc/resolv.conf /etc/resolv.conf.backup
+            # Add both local and Google DNS servers
+            echo "nameserver 127.0.0.11" | sudo tee /etc/resolv.conf
+            echo "nameserver 8.8.8.8" | sudo tee -a /etc/resolv.conf
             echo "nameserver 8.8.4.4" | sudo tee -a /etc/resolv.conf
 
 jobs:
@@ -242,6 +246,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Show git commit hash
           command: |

From a97d0563b4bed0bbc686303f6d9e5011eeb2e457 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 08:58:35 -0700
Subject: [PATCH 056/244] build(model_prices_and_context_window.json): add
 commercial rate limits for gemini 2.0 flash lite

---
 litellm/model_prices_and_context_window_backup.json | 2 ++
 model_prices_and_context_window.json                | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index f9eb63ccca..06f7238c01 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4694,6 +4694,8 @@
         "output_cost_per_token": 0.0000003,
         "litellm_provider": "gemini",
         "mode": "chat",
+        "tpm": 4000000,
+        "rpm": 4000,
         "supports_system_messages": true,
         "supports_function_calling": true,
         "supports_vision": true,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index f9eb63ccca..06f7238c01 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4694,6 +4694,8 @@
         "output_cost_per_token": 0.0000003,
         "litellm_provider": "gemini",
         "mode": "chat",
+        "tpm": 4000000,
+        "rpm": 4000,
         "supports_system_messages": true,
         "supports_function_calling": true,
         "supports_vision": true,

From 68665ea0289367cc40dc2f8fbe8bd4af325f2bd9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 09:25:08 -0700
Subject: [PATCH 057/244] DNS lookup for Redis host

---
 .circleci/config.yml | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 67af43f8f8..b2c83e3845 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -4,7 +4,7 @@ orbs:
   node: circleci/node@5.1.0  # Add this line to declare the node orb
 
 commands:
-  setup_google_dns:
+  c:
     steps:
       - run:
           name: "Configure Google DNS"
@@ -247,6 +247,9 @@ jobs:
     steps:
       - checkout
       - setup_google_dns
+      - run:
+          name: DNS lookup for Redis host
+          command: dig redis-19899.c239.us-east-1-2.ec2.redns.redis-cloud.com +short
       - run:
           name: Show git commit hash
           command: |

From d7884114d0d5893acb6110bd6e1181bdf7989fcb Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 09:26:33 -0700
Subject: [PATCH 058/244] setup_google_dns

---
 .circleci/config.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index b2c83e3845..4faafdbd3d 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -4,7 +4,7 @@ orbs:
   node: circleci/node@5.1.0  # Add this line to declare the node orb
 
 commands:
-  c:
+  setup_google_dns:
     steps:
       - run:
           name: "Configure Google DNS"

From 5f51228b727174d282b7568cb562b90afb4a35b0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 09:28:59 -0700
Subject: [PATCH 059/244] DNS lookup for Redis host

---
 .circleci/config.yml | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 4faafdbd3d..3b4005baab 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -249,7 +249,10 @@ jobs:
       - setup_google_dns
       - run:
           name: DNS lookup for Redis host
-          command: dig redis-19899.c239.us-east-1-2.ec2.redns.redis-cloud.com +short
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y dnsutils
+            dig redis-19899.c239.us-east-1-2.ec2.redns.redis-cloud.com +short
       - run:
           name: Show git commit hash
           command: |

From 8c845847cd36db9d944833d65edf9520470633c2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 10:25:50 -0700
Subject: [PATCH 060/244] fix vertex embedding perf test

---
 tests/load_tests/test_vertex_embeddings_load_test.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/load_tests/test_vertex_embeddings_load_test.py b/tests/load_tests/test_vertex_embeddings_load_test.py
index 24543e29d0..7c593fb549 100644
--- a/tests/load_tests/test_vertex_embeddings_load_test.py
+++ b/tests/load_tests/test_vertex_embeddings_load_test.py
@@ -59,7 +59,7 @@ def load_vertex_ai_credentials():
 
 async def create_async_vertex_embedding_task():
     load_vertex_ai_credentials()
-    base_url = "https://exampleopenaiendpoint-production.up.railway.app/v1/projects/pathrise-convert-1606954137718/locations/us-central1/publishers/google/models/embedding-gecko-001:predict"
+    base_url = "https://exampleopenaiendpoint-production.up.railway.app/v1/projects/pathrise-convert-1606954137718/locations/us-central1/publishers/google/models/textembedding-gecko@001"
     embedding_args = {
         "model": "vertex_ai/textembedding-gecko",
         "input": "This is a test sentence for embedding.",

From bbe69a47a9fafc89db9b85a113fc3da9b73a5c4c Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 10:53:23 -0700
Subject: [PATCH 061/244] _is_model_gemini_gemini_spec_model

---
 litellm/llms/vertex_ai/common_utils.py              |  5 +++++
 .../gemini/vertex_and_google_ai_studio_gemini.py    | 13 ++++++++++++-
 litellm/main.py                                     |  5 +----
 .../local_testing/test_amazing_vertex_completion.py |  3 +--
 4 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index a3f91fbacc..d5ad330484 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -3,6 +3,7 @@ from typing import Dict, List, Literal, Optional, Tuple, Union
 
 import httpx
 
+import litellm
 from litellm import supports_response_schema, supports_system_messages, verbose_logger
 from litellm.llms.base_llm.chat.transformation import BaseLLMException
 from litellm.types.llms.vertex_ai import PartType
@@ -28,6 +29,10 @@ def get_supports_system_message(
         supports_system_message = supports_system_messages(
             model=model, custom_llm_provider=_custom_llm_provider
         )
+
+        # Vertex Models called in the `/gemini` request/response format also support system messages
+        if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+            supports_system_message = True
     except Exception as e:
         verbose_logger.warning(
             "Unable to identify if system message supported. Defaulting to 'False'. Received error message - {}\nAdd it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json".format(
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 73215b4048..cbbbae5b34 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -207,7 +207,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             "extra_headers",
             "seed",
             "logprobs",
-            "top_logprobs" # Added this to list of supported openAI params
+            "top_logprobs",  # Added this to list of supported openAI params
         ]
 
     def map_tool_choice_values(
@@ -419,6 +419,17 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             "europe-west9",
         ]
 
+    @staticmethod
+    def _is_model_gemini_gemini_spec_model(model: Optional[str]) -> bool:
+        """
+        Returns true if user is trying to call custom model in `/gemini` request/response format
+        """
+        if model is None:
+            return False
+        if "gemini/" in model:
+            return True
+        return False
+
     def get_flagged_finish_reasons(self) -> Dict[str, str]:
         """
         Return Dictionary of finish reasons which indicate response was flagged
diff --git a/litellm/main.py b/litellm/main.py
index 8ebf66fd06..b96a054118 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -1097,10 +1097,7 @@ def completion(  # type: ignore # noqa: PLR0915
             logit_bias=logit_bias,
             user=user,
             # params to identify the model
-            model=LitellmCoreRequestUtils.select_model_for_request_transformation(
-                model=model,
-                base_model=base_model,
-            ),
+            model=model,
             custom_llm_provider=custom_llm_provider,
             response_format=response_format,
             seed=seed,
diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 7134c3536e..3687212e84 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -3380,8 +3380,7 @@ def test_gemini_fine_tuned_model_request_consistency():
     with patch.object(client, "post", new=MagicMock()) as mock_post_1:
         try:
             response_1 = completion(
-                model="vertex_ai/ft-uuid",
-                base_model="vertex_ai/gemini-2.0-flash-001",
+                model="vertex_ai/gemini/ft-uuid",
                 messages=messages,
                 tools=tools,
                 tool_choice="auto",

From 3ee7962f9c24249bc1c3d9d8d5c24ee3de2f5108 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 10:55:56 -0700
Subject: [PATCH 062/244] fix llm request utils

---
 .../litellm_core_utils/llm_request_utils.py   | 123 +++++++-----------
 1 file changed, 50 insertions(+), 73 deletions(-)

diff --git a/litellm/litellm_core_utils/llm_request_utils.py b/litellm/litellm_core_utils/llm_request_utils.py
index 8cfa48e937..50dbdc5536 100644
--- a/litellm/litellm_core_utils/llm_request_utils.py
+++ b/litellm/litellm_core_utils/llm_request_utils.py
@@ -3,89 +3,66 @@ from typing import Dict, Optional
 import litellm
 
 
-class LitellmCoreRequestUtils:
+def _ensure_extra_body_is_safe(extra_body: Optional[Dict]) -> Optional[Dict]:
+    """
+    Ensure that the extra_body sent in the request is safe,  otherwise users will see this error
 
-    @staticmethod
-    def _ensure_extra_body_is_safe(extra_body: Optional[Dict]) -> Optional[Dict]:
-        """
-        Ensure that the extra_body sent in the request is safe,  otherwise users will see this error
-
-        "Object of type TextPromptClient is not JSON serializable
+    "Object of type TextPromptClient is not JSON serializable
 
 
-        Relevant Issue: https://github.com/BerriAI/litellm/issues/4140
-        """
-        if extra_body is None:
-            return None
-
-        if not isinstance(extra_body, dict):
-            return extra_body
-
-        if "metadata" in extra_body and isinstance(extra_body["metadata"], dict):
-            if "prompt" in extra_body["metadata"]:
-                _prompt = extra_body["metadata"].get("prompt")
-
-                # users can send Langfuse TextPromptClient objects, so we need to convert them to dicts
-                # Langfuse TextPromptClients have .__dict__ attribute
-                if _prompt is not None and hasattr(_prompt, "__dict__"):
-                    extra_body["metadata"]["prompt"] = _prompt.__dict__
+    Relevant Issue: https://github.com/BerriAI/litellm/issues/4140
+    """
+    if extra_body is None:
+        return None
 
+    if not isinstance(extra_body, dict):
         return extra_body
 
-    @staticmethod
-    def pick_cheapest_chat_models_from_llm_provider(custom_llm_provider: str, n=1):
-        """
-        Pick the n cheapest chat models from the LLM provider.
+    if "metadata" in extra_body and isinstance(extra_body["metadata"], dict):
+        if "prompt" in extra_body["metadata"]:
+            _prompt = extra_body["metadata"].get("prompt")
 
-        Args:
-            custom_llm_provider (str): The name of the LLM provider.
-            n (int): The number of cheapest models to return.
+            # users can send Langfuse TextPromptClient objects, so we need to convert them to dicts
+            # Langfuse TextPromptClients have .__dict__ attribute
+            if _prompt is not None and hasattr(_prompt, "__dict__"):
+                extra_body["metadata"]["prompt"] = _prompt.__dict__
 
-        Returns:
-            list[str]: A list of the n cheapest chat models.
-        """
-        if custom_llm_provider not in litellm.models_by_provider:
-            return []
+    return extra_body
 
-        known_models = litellm.models_by_provider.get(custom_llm_provider, [])
-        model_costs = []
 
-        for model in known_models:
-            try:
-                model_info = litellm.get_model_info(
-                    model=model, custom_llm_provider=custom_llm_provider
-                )
-            except Exception:
-                continue
-            if model_info.get("mode") != "chat":
-                continue
-            _cost = model_info.get("input_cost_per_token", 0) + model_info.get(
-                "output_cost_per_token", 0
+def pick_cheapest_chat_models_from_llm_provider(custom_llm_provider: str, n=1):
+    """
+    Pick the n cheapest chat models from the LLM provider.
+
+    Args:
+        custom_llm_provider (str): The name of the LLM provider.
+        n (int): The number of cheapest models to return.
+
+    Returns:
+        list[str]: A list of the n cheapest chat models.
+    """
+    if custom_llm_provider not in litellm.models_by_provider:
+        return []
+
+    known_models = litellm.models_by_provider.get(custom_llm_provider, [])
+    model_costs = []
+
+    for model in known_models:
+        try:
+            model_info = litellm.get_model_info(
+                model=model, custom_llm_provider=custom_llm_provider
             )
-            model_costs.append((model, _cost))
+        except Exception:
+            continue
+        if model_info.get("mode") != "chat":
+            continue
+        _cost = model_info.get("input_cost_per_token", 0) + model_info.get(
+            "output_cost_per_token", 0
+        )
+        model_costs.append((model, _cost))
 
-        # Sort by cost (ascending)
-        model_costs.sort(key=lambda x: x[1])
+    # Sort by cost (ascending)
+    model_costs.sort(key=lambda x: x[1])
 
-        # Return the top n cheapest models
-        return [model for model, _ in model_costs[:n]]
-
-    @staticmethod
-    def select_model_for_request_transformation(
-        model: str,
-        base_model: Optional[str] = None,
-        litellm_params: Optional[Dict] = None,
-    ) -> str:
-        """
-        If `base_model` is passed in by user, use it for the request transformation
-
-        Else, use the model passed in the request
-        """
-        if base_model is not None:
-            return base_model
-        elif (
-            litellm_params is not None and litellm_params.get("base_model") is not None
-        ):
-            return litellm_params["base_model"]
-        else:
-            return model
+    # Return the top n cheapest models
+    return [model for model, _ in model_costs[:n]]

From 8a72b67b18a9cd41599df07eb6ef0685a1dbaaf0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 10:57:08 -0700
Subject: [PATCH 063/244] undo code changes

---
 litellm/llms/vertex_ai/gemini/transformation.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py
index 5534ca03ce..d6bafc7c60 100644
--- a/litellm/llms/vertex_ai/gemini/transformation.py
+++ b/litellm/llms/vertex_ai/gemini/transformation.py
@@ -12,7 +12,6 @@ from pydantic import BaseModel
 
 import litellm
 from litellm._logging import verbose_logger
-from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
 from litellm.litellm_core_utils.prompt_templates.factory import (
     convert_to_anthropic_image_obj,
     convert_to_gemini_tool_call_invoke,
@@ -285,11 +284,6 @@ def _transform_request_body(
     Common transformation logic across sync + async Gemini /generateContent calls.
     """
     # Separate system prompt from rest of message
-    model = LitellmCoreRequestUtils.select_model_for_request_transformation(
-        model=model,
-        litellm_params=litellm_params,
-    )
-
     supports_system_message = get_supports_system_message(
         model=model, custom_llm_provider=custom_llm_provider
     )

From fee20250a60aca317850321cfb0fd26ea8e940d1 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 10:59:02 -0700
Subject: [PATCH 064/244] pick_cheapest_chat_models_from_llm_provider

---
 litellm/main.py | 37 ++++++++++++++++++++++++++++++++-----
 1 file changed, 32 insertions(+), 5 deletions(-)

diff --git a/litellm/main.py b/litellm/main.py
index b96a054118..5e628975ef 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -59,7 +59,9 @@ from litellm.litellm_core_utils.health_check_utils import (
     _filter_model_params,
 )
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
-from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
+from litellm.litellm_core_utils.llm_request_utils import (
+    pick_cheapest_chat_models_from_llm_provider,
+)
 from litellm.litellm_core_utils.mock_functions import (
     mock_embedding,
     mock_image_generation,
@@ -2348,6 +2350,8 @@ def completion(  # type: ignore # noqa: PLR0915
                 or litellm.api_key
             )
 
+            api_base = api_base or litellm.api_base or get_secret("GEMINI_API_BASE")
+
             new_params = deepcopy(optional_params)
             response = vertex_chat_completion.completion(  # type: ignore
                 model=model,
@@ -2390,6 +2394,8 @@ def completion(  # type: ignore # noqa: PLR0915
                 or get_secret("VERTEXAI_CREDENTIALS")
             )
 
+            api_base = api_base or litellm.api_base or get_secret("VERTEXAI_API_BASE")
+
             new_params = deepcopy(optional_params)
             if (
                 model.startswith("meta/")
@@ -3655,6 +3661,8 @@ def embedding(  # noqa: PLR0915
                 api_key or get_secret_str("GEMINI_API_KEY") or litellm.api_key
             )
 
+            api_base = api_base or litellm.api_base or get_secret_str("GEMINI_API_BASE")
+
             response = google_batch_embeddings.batch_embeddings(  # type: ignore
                 model=model,
                 input=input,
@@ -3669,6 +3677,8 @@ def embedding(  # noqa: PLR0915
                 print_verbose=print_verbose,
                 custom_llm_provider="gemini",
                 api_key=gemini_api_key,
+                api_base=api_base,
+                client=client,
             )
 
         elif custom_llm_provider == "vertex_ai":
@@ -3693,6 +3703,13 @@ def embedding(  # noqa: PLR0915
                 or get_secret_str("VERTEX_CREDENTIALS")
             )
 
+            api_base = (
+                api_base
+                or litellm.api_base
+                or get_secret_str("VERTEXAI_API_BASE")
+                or get_secret_str("VERTEX_API_BASE")
+            )
+
             if (
                 "image" in optional_params
                 or "video" in optional_params
@@ -3714,6 +3731,7 @@ def embedding(  # noqa: PLR0915
                     print_verbose=print_verbose,
                     custom_llm_provider="vertex_ai",
                     client=client,
+                    api_base=api_base,
                 )
             else:
                 response = vertex_embedding.embedding(
@@ -3731,6 +3749,8 @@ def embedding(  # noqa: PLR0915
                     aembedding=aembedding,
                     print_verbose=print_verbose,
                     api_key=api_key,
+                    api_base=api_base,
+                    client=client,
                 )
         elif custom_llm_provider == "oobabooga":
             response = oobabooga.embedding(
@@ -4693,6 +4713,14 @@ def image_generation(  # noqa: PLR0915
                 or optional_params.pop("vertex_ai_credentials", None)
                 or get_secret_str("VERTEXAI_CREDENTIALS")
             )
+
+            api_base = (
+                api_base
+                or litellm.api_base
+                or get_secret_str("VERTEXAI_API_BASE")
+                or get_secret_str("VERTEX_API_BASE")
+            )
+
             model_response = vertex_image_generation.image_generation(
                 model=model,
                 prompt=prompt,
@@ -4704,6 +4732,7 @@ def image_generation(  # noqa: PLR0915
                 vertex_location=vertex_ai_location,
                 vertex_credentials=vertex_credentials,
                 aimg_generation=aimg_generation,
+                client=client,
             )
         elif (
             custom_llm_provider in litellm._custom_providers
@@ -5421,10 +5450,8 @@ async def ahealth_check_wildcard_models(
 ) -> dict:
 
     # this is a wildcard model, we need to pick a random model from the provider
-    cheapest_models = (
-        LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
-            custom_llm_provider=custom_llm_provider, n=3
-        )
+    cheapest_models = pick_cheapest_chat_models_from_llm_provider(
+        custom_llm_provider=custom_llm_provider, n=3
     )
     if len(cheapest_models) == 0:
         raise Exception(

From a2ae9be6a266b4f854c96983ec2d529aa52b8efe Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 11:09:29 -0700
Subject: [PATCH 065/244] undo changes to utils

---
 litellm/utils.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/litellm/utils.py b/litellm/utils.py
index 45fa9fa1fd..dc97c4d898 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -84,7 +84,7 @@ from litellm.litellm_core_utils.get_llm_provider_logic import (
 from litellm.litellm_core_utils.get_supported_openai_params import (
     get_supported_openai_params,
 )
-from litellm.litellm_core_utils.llm_request_utils import LitellmCoreRequestUtils
+from litellm.litellm_core_utils.llm_request_utils import _ensure_extra_body_is_safe
 from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import (
     LiteLLMResponseObjectHandler,
     _handle_invalid_parallel_tool_calls,
@@ -2852,7 +2852,6 @@ def get_optional_params(  # noqa: PLR0915
     # retrieve all parameters passed to the function
     passed_params = locals().copy()
     special_params = passed_params.pop("kwargs")
-
     for k, v in special_params.items():
         if k.startswith("aws_") and (
             custom_llm_provider != "bedrock" and custom_llm_provider != "sagemaker"
@@ -3734,10 +3733,8 @@ def get_optional_params(  # noqa: PLR0915
                 **extra_body,
             }
 
-            optional_params["extra_body"] = (
-                LitellmCoreRequestUtils._ensure_extra_body_is_safe(
-                    extra_body=optional_params["extra_body"]
-                )
+            optional_params["extra_body"] = _ensure_extra_body_is_safe(
+                extra_body=optional_params["extra_body"]
             )
     else:
         # if user passed in non-default kwargs for specific providers/models, pass them along

From 1822c45c0ec3d0ac200e273618cd2b95fa3c5962 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 11:13:21 -0700
Subject: [PATCH 066/244] test fix
 test_pick_cheapest_chat_model_from_llm_provider

---
 tests/litellm_utils_tests/test_utils.py | 20 +++-----------------
 1 file changed, 3 insertions(+), 17 deletions(-)

diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index ef9bf30c13..fea225e4a3 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -1532,26 +1532,12 @@ def test_supports_vision_gemini():
 
 def test_pick_cheapest_chat_model_from_llm_provider():
     from litellm.litellm_core_utils.llm_request_utils import (
-        LitellmCoreRequestUtils,
+        pick_cheapest_chat_models_from_llm_provider,
     )
 
-    assert (
-        len(
-            LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
-                "openai", n=3
-            )
-        )
-        == 3
-    )
+    assert len(pick_cheapest_chat_models_from_llm_provider("openai", n=3)) == 3
 
-    assert (
-        len(
-            LitellmCoreRequestUtils.pick_cheapest_chat_models_from_llm_provider(
-                "unknown", n=1
-            )
-        )
-        == 0
-    )
+    assert len(pick_cheapest_chat_models_from_llm_provider("unknown", n=1)) == 0
 
 
 def test_get_potential_model_names():

From 793a920caa8b8b3dcd7074be350a5e724bbab20e Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 11:14:51 -0700
Subject: [PATCH 067/244] rename _is_model_gemini_spec_model

---
 litellm/llms/vertex_ai/common_utils.py                          | 2 +-
 .../llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index fb9f595fa8..bbaab31401 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -31,7 +31,7 @@ def get_supports_system_message(
         )
 
         # Vertex Models called in the `/gemini` request/response format also support system messages
-        if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+        if litellm.VertexGeminiConfig._is_model_gemini_spec_model(model):
             supports_system_message = True
     except Exception as e:
         verbose_logger.warning(
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index cbbbae5b34..fdb8c0e558 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -420,7 +420,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         ]
 
     @staticmethod
-    def _is_model_gemini_gemini_spec_model(model: Optional[str]) -> bool:
+    def _is_model_gemini_spec_model(model: Optional[str]) -> bool:
         """
         Returns true if user is trying to call custom model in `/gemini` request/response format
         """

From 801ecb65176b14b62ac7cc51e158a9f4b4ed81e0 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 11:28:20 -0700
Subject: [PATCH 068/244] Nova Canvas complete image generation tasks (#9177)
 (#9525)

* Nova Canvas complete image generation tasks (#9177)

* add initial support for Amazon Nova Canvas model

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* adjust name to AmazonNovaCanvas and map function variables to config

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* tighten model name check

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* fix quality mapping

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add premium quality in config

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* support all Amazon Nova Canvas tasks

* remove unused import

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add tests for image generation tasks and fix payload

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add missing util file

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* update model prices backup file

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* remove image tasks other than text->image

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add color guided generation task for Nova Canvas

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* fix merge

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add nova canvas image generation documentation

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

* add nova canvas unit tests

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>

---------

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>

* ci(config.yml): bump ci config

* test: fix test

---------

Signed-off-by: omrishiv <327609+omrishiv@users.noreply.github.com>
Co-authored-by: omrishiv <327609+omrishiv@users.noreply.github.com>
---
 .circleci/config.yml                          |   1 +
 docs/my-website/docs/providers/bedrock.md     |  39 +++++-
 .../amazon_nova_canvas_transformation.py      |  10 +-
 litellm/types/llms/bedrock.py                 |  23 +++
 .../test_bedrock_image_gen_unit_tests.py      | 131 ++++++++++++++++++
 .../image_gen_tests/test_image_generation.py  |  14 ++
 6 files changed, 216 insertions(+), 2 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 3b4005baab..5a058144f6 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -640,6 +640,7 @@ jobs:
 
     steps:
       - checkout
+      - setup_google_dns
       - run:
           name: Install Dependencies
           command: |
diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index 58b44b04f2..4f88fdb39b 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -1917,12 +1917,49 @@ model_list:
 
 </Tabs>
 
+Text to Image : 
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/v1/images/generations' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_VIRTUAL_KEY' \
+-d '{
+    "model": "amazon.nova-canvas-v1:0",
+    "prompt": "A cute baby sea otter"
+}'
+```
 
+Color Guided Generation:
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/v1/images/generations' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_VIRTUAL_KEY' \
+-d '{
+    "model": "amazon.nova-canvas-v1:0",
+    "prompt": "A cute baby sea otter",
+    "taskType": "COLOR_GUIDED_GENERATION",
+    "colorGuidedGenerationParams":{"colors":["#FFFFFF"]}
+}'
+```
+</TabItem>
+</Tabs>
+
+
+| Model Name              | Function Call                               |
+|-------------------------|---------------------------------------------|
+| Stable Diffusion 3 - v0 | `image_generation(model="bedrock/stability.stability.sd3-large-v1:0", prompt=prompt)` |
+| Stable Diffusion - v0   | `image_generation(model="bedrock/stability.stable-diffusion-xl-v0", prompt=prompt)` |
+| Stable Diffusion - v1   | `image_generation(model="bedrock/stability.stable-diffusion-xl-v1", prompt=prompt)` |
+| Amazon Nova Canvas - v0 | `image_generation(model="bedrock/amazon.nova-canvas-v1:0", prompt=prompt)` |
+  
+  
 ### Passing an external BedrockRuntime.Client as a parameter - Completion()
+  
+This is a deprecated flow. Boto3 is not async. And boto3.client does not let us make the http call through httpx. Pass in your aws params through the method above 👆. [See Auth Code](https://github.com/BerriAI/litellm/blob/55a20c7cce99a93d36a82bf3ae90ba3baf9a7f89/litellm/llms/bedrock_httpx.py#L284) [Add new auth flow](https://github.com/BerriAI/litellm/issues)
 
 :::warning
 
-This is a deprecated flow. Boto3 is not async. And boto3.client does not let us make the http call through httpx. Pass in your aws params through the method above 👆. [See Auth Code](https://github.com/BerriAI/litellm/blob/55a20c7cce99a93d36a82bf3ae90ba3baf9a7f89/litellm/llms/bedrock_httpx.py#L284) [Add new auth flow](https://github.com/BerriAI/litellm/issues)
+
+
 
 
 Experimental - 2024-Jun-23:
diff --git a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
index de46edb923..33249f9af8 100644
--- a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
+++ b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
@@ -5,7 +5,8 @@ from openai.types.image import Image
 
 from litellm.types.llms.bedrock import (
     AmazonNovaCanvasTextToImageRequest, AmazonNovaCanvasTextToImageResponse,
-    AmazonNovaCanvasTextToImageParams, AmazonNovaCanvasRequestBase,
+    AmazonNovaCanvasTextToImageParams, AmazonNovaCanvasRequestBase, AmazonNovaCanvasColorGuidedGenerationParams,
+    AmazonNovaCanvasColorGuidedRequest,
 )
 from litellm.types.utils import ImageResponse
 
@@ -69,6 +70,13 @@ class AmazonNovaCanvasConfig:
             text_to_image_params = AmazonNovaCanvasTextToImageParams(**text_to_image_params)
             return AmazonNovaCanvasTextToImageRequest(textToImageParams=text_to_image_params, taskType=task_type,
                                                       imageGenerationConfig=image_generation_config)
+        if task_type == "COLOR_GUIDED_GENERATION":
+            color_guided_generation_params = image_generation_config.pop("colorGuidedGenerationParams", {})
+            color_guided_generation_params = {"text": text, **color_guided_generation_params}
+            color_guided_generation_params = AmazonNovaCanvasColorGuidedGenerationParams(**color_guided_generation_params)
+            return AmazonNovaCanvasColorGuidedRequest(taskType=task_type,
+                                                      colorGuidedGenerationParams=color_guided_generation_params,
+                                                      imageGenerationConfig=image_generation_config)
         raise NotImplementedError(f"Task type {task_type} is not supported")
 
     @classmethod
diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py
index 57fb04c8a9..08738459f4 100644
--- a/litellm/types/llms/bedrock.py
+++ b/litellm/types/llms/bedrock.py
@@ -418,6 +418,29 @@ class AmazonNovaCanvasTextToImageRequest(
     imageGenerationConfig: AmazonNovaCanvasImageGenerationConfig
 
 
+class AmazonNovaCanvasColorGuidedGenerationParams(TypedDict, total=False):
+    """
+    Params for Amazon Nova Canvas Color Guided Generation API
+    """
+
+    colors: List[str]
+    referenceImage: str
+    text: str
+    negativeText: str
+
+
+class AmazonNovaCanvasColorGuidedRequest(AmazonNovaCanvasRequestBase, TypedDict, total=False):
+    """
+    Request for Amazon Nova Canvas Color Guided Generation API
+
+    Ref: https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html
+    """
+
+    taskType: Literal["COLOR_GUIDED_GENERATION"]
+    colorGuidedGenerationParams: AmazonNovaCanvasColorGuidedGenerationParams
+    imageGenerationConfig: AmazonNovaCanvasImageGenerationConfig
+
+
 class AmazonNovaCanvasTextToImageResponse(TypedDict, total=False):
     """
     Response for Amazon Nova Canvas Text to Image API
diff --git a/tests/image_gen_tests/test_bedrock_image_gen_unit_tests.py b/tests/image_gen_tests/test_bedrock_image_gen_unit_tests.py
index fa5fbeda7f..ed1cdddf29 100644
--- a/tests/image_gen_tests/test_bedrock_image_gen_unit_tests.py
+++ b/tests/image_gen_tests/test_bedrock_image_gen_unit_tests.py
@@ -6,6 +6,14 @@ import traceback
 from dotenv import load_dotenv
 from openai.types.image import Image
 
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.bedrock.image.amazon_nova_canvas_transformation import (
+    AmazonNovaCanvasConfig,
+)
+
 logging.basicConfig(level=logging.DEBUG)
 load_dotenv()
 import asyncio
@@ -54,6 +62,25 @@ def test_is_stability_3_model(model, expected):
     assert result == expected
 
 
+@pytest.mark.parametrize(
+    "model,expected",
+    [
+        ("amazon.nova-canvas", True),
+        ("sd3-large", False),
+        ("sd3-large-turbo", False),
+        ("sd3-medium", False),
+        ("sd3.5-large", False),
+        ("sd3.5-large-turbo", False),
+        ("gpt-4", False),
+        (None, False),
+        ("other-model", False),
+    ],
+)
+def test_is_nova_canvas_model(model, expected):
+    result = AmazonNovaCanvasConfig._is_nova_model(model)
+    assert result == expected
+
+
 def test_transform_request_body():
     prompt = "A beautiful sunset"
     optional_params = {"size": "1024x1024"}
@@ -161,6 +188,110 @@ def test_get_request_body_stability():
     assert result["cfg_scale"] == 7
 
 
+def test_transform_request_body_nova_canvas():
+    prompt = "A beautiful sunset"
+    optional_params = {"size": "1024x1024"}
+
+    result = AmazonNovaCanvasConfig.transform_request_body(prompt, optional_params)
+
+    assert result["taskType"] == "TEXT_IMAGE"
+    assert result["textToImageParams"]["text"] == prompt
+    assert result["imageGenerationConfig"]["size"] == "1024x1024"
+
+
+def test_map_openai_params_nova_canvas():
+    non_default_params = {"n": 2, "size": "1024x1024"}
+    optional_params = {"cfg_scale": 7}
+
+    result = AmazonNovaCanvasConfig.map_openai_params(
+        non_default_params, optional_params
+    )
+
+    assert result == optional_params
+    assert "n" not in result  # OpenAI params should not be included
+
+
+def test_transform_response_dict_to_openai_response_nova_canvas():
+    # Create a mock response
+    response_dict = {"images": ["base64_encoded_image_1", "base64_encoded_image_2"]}
+    model_response = ImageResponse()
+
+    result = AmazonNovaCanvasConfig.transform_response_dict_to_openai_response(
+        model_response, response_dict
+    )
+
+    assert isinstance(result, ImageResponse)
+    assert len(result.data) == 2
+    assert all(hasattr(img, "b64_json") for img in result.data)
+    assert [img.b64_json for img in result.data] == response_dict["images"]
+
+
+def test_amazon_nova_canvas_get_supported_openai_params():
+    result = AmazonNovaCanvasConfig.get_supported_openai_params()
+    assert result == ["n", "size", "quality"]
+
+
+def test_get_request_body_nova_canvas_default():
+    handler = BedrockImageGeneration()
+    prompt = "A beautiful sunset"
+    optional_params = {"cfg_scale": 7}
+    model = "amazon.nova-canvas-v1"
+
+    result = handler._get_request_body(
+        model=model, prompt=prompt, optional_params=optional_params
+    )
+
+    assert result["taskType"] == "TEXT_IMAGE"
+    assert result["textToImageParams"]["text"] == prompt
+    assert result["imageGenerationConfig"]["cfg_scale"] == 7
+
+
+def test_get_request_body_nova_canvas_text_image():
+    handler = BedrockImageGeneration()
+    prompt = "A beautiful sunset"
+    optional_params = {"cfg_scale": 7, "taskType": "TEXT_IMAGE"}
+    model = "amazon.nova-canvas-v1"
+
+    result = handler._get_request_body(
+        model=model, prompt=prompt, optional_params=optional_params
+    )
+
+    assert result["taskType"] == "TEXT_IMAGE"
+    assert result["textToImageParams"]["text"] == prompt
+    assert result["imageGenerationConfig"]["cfg_scale"] == 7
+
+
+def test_get_request_body_nova_canvas_color_guided_generation():
+    handler = BedrockImageGeneration()
+    prompt = "A beautiful sunset"
+    optional_params = {
+        "cfg_scale": 7,
+        "taskType": "COLOR_GUIDED_GENERATION",
+        "colorGuidedGenerationParams": {"colors": ["#FF0000"]},
+    }
+    model = "amazon.nova-canvas-v1"
+
+    result = handler._get_request_body(
+        model=model, prompt=prompt, optional_params=optional_params
+    )
+
+    assert result["taskType"] == "COLOR_GUIDED_GENERATION"
+    assert result["colorGuidedGenerationParams"]["text"] == prompt
+    assert result["colorGuidedGenerationParams"]["colors"] == ["#FF0000"]
+    assert result["imageGenerationConfig"]["cfg_scale"] == 7
+
+
+def test_transform_request_body_with_invalid_task_type():
+    text = "An image of a otter"
+    optional_params = {"taskType": "INVALID_TASK"}
+
+    with pytest.raises(NotImplementedError) as exc_info:
+        AmazonNovaCanvasConfig.transform_request_body(
+            text=text, optional_params=optional_params
+        )
+    assert "Task type INVALID_TASK is not supported" in str(exc_info.value)
+
+
 def test_transform_response_dict_to_openai_response_stability3():
     handler = BedrockImageGeneration()
     model_response = ImageResponse()
diff --git a/tests/image_gen_tests/test_image_generation.py b/tests/image_gen_tests/test_image_generation.py
index 96928f9030..1f2c563f26 100644
--- a/tests/image_gen_tests/test_image_generation.py
+++ b/tests/image_gen_tests/test_image_generation.py
@@ -143,6 +143,20 @@ class TestBedrockNovaCanvasTextToImage(BaseImageGenTest):
         }
 
 
+class TestBedrockNovaCanvasColorGuidedGeneration(BaseImageGenTest):
+    def get_base_image_generation_call_args(self) -> dict:
+        litellm.in_memory_llm_clients_cache = InMemoryCache()
+        return {
+                "model": "bedrock/amazon.nova-canvas-v1:0",
+                "n": 1,
+                "size": "320x320",
+                "imageGenerationConfig": {"cfgScale":6.5,"seed":12},
+                "taskType": "COLOR_GUIDED_GENERATION",
+                "colorGuidedGenerationParams":{"colors":["#FFFFFF"]},
+                "aws_region_name": "us-east-1",
+        }
+
+
 class TestOpenAIDalle3(BaseImageGenTest):
     def get_base_image_generation_call_args(self) -> dict:
         return {"model": "dall-e-3"}

From 93daf5cbac2af4cc632b47acd6f3c90cd8275b60 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 12:16:18 -0700
Subject: [PATCH 069/244] _get_model_name_from_gemini_spec_model

---
 litellm/llms/vertex_ai/common_utils.py            |  4 +++-
 .../gemini/vertex_and_google_ai_studio_gemini.py  | 15 ++++++++++++++-
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index bbaab31401..b5bad6b858 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -31,7 +31,7 @@ def get_supports_system_message(
         )
 
         # Vertex Models called in the `/gemini` request/response format also support system messages
-        if litellm.VertexGeminiConfig._is_model_gemini_spec_model(model):
+        if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
             supports_system_message = True
     except Exception as e:
         verbose_logger.warning(
@@ -75,6 +75,8 @@ def _get_vertex_url(
 ) -> Tuple[str, str]:
     url: Optional[str] = None
     endpoint: Optional[str] = None
+    if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+        model = litellm.VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
     if mode == "chat":
         ### SET RUNTIME ENDPOINT ###
         endpoint = "generateContent"
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index fdb8c0e558..0e48c690ba 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -420,7 +420,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         ]
 
     @staticmethod
-    def _is_model_gemini_spec_model(model: Optional[str]) -> bool:
+    def _is_model_gemini_gemini_spec_model(model: Optional[str]) -> bool:
         """
         Returns true if user is trying to call custom model in `/gemini` request/response format
         """
@@ -430,6 +430,19 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             return True
         return False
 
+    @staticmethod
+    def _get_model_name_from_gemini_spec_model(model: str) -> str:
+        """
+        Returns the model name if model="vertex_ai/gemini/<unique_id>"
+
+        Example:
+        - model = "gemini/1234567890"
+        - returns "1234567890"
+        """
+        if "gemini/" in model:
+            return model.split("/")[-1]
+        return model
+
     def get_flagged_finish_reasons(self) -> Dict[str, str]:
         """
         Return Dictionary of finish reasons which indicate response was flagged

From 12eb77d02d0b494ad288928d6ad070955dd322ac Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 12:24:49 -0700
Subject: [PATCH 070/244] docs litellm vertex ai ft models

---
 docs/my-website/docs/providers/vertex.md | 126 ++++++++++++-----------
 1 file changed, 65 insertions(+), 61 deletions(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 10ac13ecaf..b8633adc5e 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1369,6 +1369,71 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
 </Tabs>
 
 
+## Gemini Pro
+| Model Name       | Function Call                        |
+|------------------|--------------------------------------|
+| gemini-pro   | `completion('gemini-pro', messages)`, `completion('vertex_ai/gemini-pro', messages)` |
+
+## Fine-tuned Models
+
+Call fine-tuned Vertex AI Gemini models through LiteLLM. If you want to use LiteLLM to call a model in the `/gemini` request/response format, you can do so by setting `model="vertex_ai/gemini/{MODEL_ID}"`. This tells litellm that the request/response format follows the `gemini` model family format. 
+
+| Property | Details |
+|----------|---------|
+| Provider Route | `vertex_ai/gemini/{MODEL_ID}` |
+| Vertex Documentation | [Vertex AI - Fine-tuned Gemini Models](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini-use-supervised-tuning#test_the_tuned_model_with_a_prompt)|
+| Supported Operations | `/chat/completions`, `/completions`, `/embeddings`, `/images` |
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python showLineNumbers
+import litellm
+import os
+
+## set ENV variables
+os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
+os.environ["VERTEXAI_LOCATION"] = "us-central1"
+
+response = litellm.completion(
+  model="vertex_ai/gemini/<your-finetuned-model>",  # e.g. vertex_ai/4965075652664360960
+  messages=[{ "content": "Hello, how are you?","role": "user"}],
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Add Vertex Credentials to your env 
+
+```bash
+!gcloud auth application-default login
+```
+
+2. Setup config.yaml 
+
+```yaml
+- model_name: finetuned-gemini
+  litellm_params:
+    model: vertex_ai/gemini/<ENDPOINT_ID>
+    vertex_project: <PROJECT_ID>
+    vertex_location: <LOCATION>
+```
+
+3. Test it! 
+
+```bash
+curl --location 'https://0.0.0.0:4000/v1/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: <LITELLM_KEY>' \
+--data '{"model": "finetuned-gemini" ,"messages":[{"role": "user", "content":[{"type": "text", "text": "hi"}]}]}'
+```
+
+</TabItem>
+</Tabs>
+
+
+
 ## Model Garden
 
 :::tip
@@ -1479,67 +1544,6 @@ response = completion(
 </Tabs>
 
 
-## Gemini Pro
-| Model Name       | Function Call                        |
-|------------------|--------------------------------------|
-| gemini-pro   | `completion('gemini-pro', messages)`, `completion('vertex_ai/gemini-pro', messages)` |
-
-## Fine-tuned Models
-
-Fine tuned models on vertex have a numerical model/endpoint id. 
-
-<Tabs>
-<TabItem value="sdk" label="SDK">
-
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
-os.environ["VERTEXAI_LOCATION"] = "us-central1"
-
-response = completion(
-  model="vertex_ai/<your-finetuned-model>",  # e.g. vertex_ai/4965075652664360960
-  messages=[{ "content": "Hello, how are you?","role": "user"}],
-  base_model="vertex_ai/gemini-1.5-pro" # the base model - used for routing
-)
-```
-
-</TabItem>
-<TabItem value="proxy" label="PROXY">
-
-1. Add Vertex Credentials to your env 
-
-```bash
-!gcloud auth application-default login
-```
-
-2. Setup config.yaml 
-
-```yaml
-- model_name: finetuned-gemini
-  litellm_params:
-    model: vertex_ai/<ENDPOINT_ID>
-    vertex_project: <PROJECT_ID>
-    vertex_location: <LOCATION>
-  model_info:
-    base_model: vertex_ai/gemini-1.5-pro # IMPORTANT
-```
-
-3. Test it! 
-
-```bash
-curl --location 'https://0.0.0.0:4000/v1/chat/completions' \
---header 'Content-Type: application/json' \
---header 'Authorization: <LITELLM_KEY>' \
---data '{"model": "finetuned-gemini" ,"messages":[{"role": "user", "content":[{"type": "text", "text": "hi"}]}]}'
-```
-
-</TabItem>
-</Tabs>
-
-
 
 ## Gemini Pro Vision
 | Model Name       | Function Call                        |

From 82016eba0a02ffc3e6115d287651cdcec0b140b0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 13:55:38 -0700
Subject: [PATCH 071/244] docs vertex ft models

---
 docs/my-website/docs/providers/vertex.md | 34 +++++++++++++++++++++---
 1 file changed, 30 insertions(+), 4 deletions(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index b8633adc5e..ede3ae88d8 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1385,7 +1385,7 @@ Call fine-tuned Vertex AI Gemini models through LiteLLM. If you want to use Lite
 | Supported Operations | `/chat/completions`, `/completions`, `/embeddings`, `/images` |
 
 <Tabs>
-<TabItem value="sdk" label="SDK">
+<TabItem value="sdk" label="LiteLLM Python SDK">
 
 ```python showLineNumbers
 import litellm
@@ -1402,7 +1402,7 @@ response = litellm.completion(
 ```
 
 </TabItem>
-<TabItem value="proxy" label="PROXY">
+<TabItem value="proxy" label="LiteLLM Proxy">
 
 1. Add Vertex Credentials to your env 
 
@@ -1412,7 +1412,7 @@ response = litellm.completion(
 
 2. Setup config.yaml 
 
-```yaml
+```yaml showLineNumbers
 - model_name: finetuned-gemini
   litellm_params:
     model: vertex_ai/gemini/<ENDPOINT_ID>
@@ -1422,7 +1422,30 @@ response = litellm.completion(
 
 3. Test it! 
 
-```bash
+<Tabs>
+<TabItem value="openai" label="OpenAI Python SDK">
+
+```python showLineNumbers
+from openai import OpenAI
+
+client = OpenAI(
+    api_key="your-litellm-key",
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="finetuned-gemini",
+    messages=[
+        {"role": "user", "content": "hi"}
+    ]
+)
+print(response)
+```
+
+</TabItem>
+<TabItem value="curl" label="curl">
+
+```bash showLineNumbers
 curl --location 'https://0.0.0.0:4000/v1/chat/completions' \
 --header 'Content-Type: application/json' \
 --header 'Authorization: <LITELLM_KEY>' \
@@ -1432,6 +1455,9 @@ curl --location 'https://0.0.0.0:4000/v1/chat/completions' \
 </TabItem>
 </Tabs>
 
+</TabItem>
+</Tabs>
+
 
 
 ## Model Garden

From e24a60189722fcefaee257ec158ca2b0d6a86681 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:03:42 -0700
Subject: [PATCH 072/244] docs verte ft models

---
 docs/my-website/docs/providers/vertex.md | 19 +++++++++++++------
 1 file changed, 13 insertions(+), 6 deletions(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index ede3ae88d8..15c30d1222 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1376,7 +1376,8 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
 
 ## Fine-tuned Models
 
-Call fine-tuned Vertex AI Gemini models through LiteLLM. If you want to use LiteLLM to call a model in the `/gemini` request/response format, you can do so by setting `model="vertex_ai/gemini/{MODEL_ID}"`. This tells litellm that the request/response format follows the `gemini` model family format. 
+You can call fine-tuned Vertex AI Gemini models through LiteLLM
+```
 
 | Property | Details |
 |----------|---------|
@@ -1384,10 +1385,16 @@ Call fine-tuned Vertex AI Gemini models through LiteLLM. If you want to use Lite
 | Vertex Documentation | [Vertex AI - Fine-tuned Gemini Models](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini-use-supervised-tuning#test_the_tuned_model_with_a_prompt)|
 | Supported Operations | `/chat/completions`, `/completions`, `/embeddings`, `/images` |
 
+To use a model that follows the `/gemini` request/response format, simply set the model parameter as 
+
+```python title="Model parameter for calling fine-tuned gemini models"
+model="vertex_ai/gemini/<your-finetuned-model>"
+```
+
 <Tabs>
 <TabItem value="sdk" label="LiteLLM Python SDK">
 
-```python showLineNumbers
+```python showLineNumbers title="Example"
 import litellm
 import os
 
@@ -1406,13 +1413,13 @@ response = litellm.completion(
 
 1. Add Vertex Credentials to your env 
 
-```bash
+```bash title="Authenticate to Vertex AI"
 !gcloud auth application-default login
 ```
 
 2. Setup config.yaml 
 
-```yaml showLineNumbers
+```yaml showLineNumbers title="Add to litellm config"
 - model_name: finetuned-gemini
   litellm_params:
     model: vertex_ai/gemini/<ENDPOINT_ID>
@@ -1425,7 +1432,7 @@ response = litellm.completion(
 <Tabs>
 <TabItem value="openai" label="OpenAI Python SDK">
 
-```python showLineNumbers
+```python showLineNumbers title="Example request"
 from openai import OpenAI
 
 client = OpenAI(
@@ -1445,7 +1452,7 @@ print(response)
 </TabItem>
 <TabItem value="curl" label="curl">
 
-```bash showLineNumbers
+```bash showLineNumbers title="Example request"
 curl --location 'https://0.0.0.0:4000/v1/chat/completions' \
 --header 'Content-Type: application/json' \
 --header 'Authorization: <LITELLM_KEY>' \

From 28ab8fdcccae5ece69b3addf6e41e22e3042f6ac Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:08:19 -0700
Subject: [PATCH 073/244] docs vertex ft model

---
 docs/my-website/docs/providers/vertex.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 15c30d1222..38c18c7ad8 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1403,7 +1403,7 @@ os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
 os.environ["VERTEXAI_LOCATION"] = "us-central1"
 
 response = litellm.completion(
-  model="vertex_ai/gemini/<your-finetuned-model>",  # e.g. vertex_ai/4965075652664360960
+  model="vertex_ai/gemini/<your-finetuned-model>",  # e.g. vertex_ai/gemini/4965075652664360960
   messages=[{ "content": "Hello, how are you?","role": "user"}],
 )
 ```

From 82faa49668ea674452365841041810c89de63221 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:09:27 -0700
Subject: [PATCH 074/244] doc fix Fine-tuned Models

---
 docs/my-website/docs/providers/vertex.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 38c18c7ad8..f2489de769 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1377,7 +1377,6 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
 ## Fine-tuned Models
 
 You can call fine-tuned Vertex AI Gemini models through LiteLLM
-```
 
 | Property | Details |
 |----------|---------|

From da9d84934821905ef5562add771e70021da128b8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:10:32 -0700
Subject: [PATCH 075/244] test_gemini_fine_tuned_model_request_consistency

---
 tests/local_testing/test_amazing_vertex_completion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 86f7e83dac..5d99ecb5cd 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -3334,7 +3334,7 @@ def test_gemini_fine_tuned_model_request_consistency():
     """
     Assert the same transformation is applied to Fine tuned gemini 2.0 flash and gemini 2.0 flash
 
-    - Request 1: Fine tuned: vertex_ai/ft-uuid with base_model: vertex_ai/gemini-2.0-flash-001
+    - Request 1: Fine tuned: vertex_ai/gemini/ft-uuid
     - Request 2: vertex_ai/gemini-2.0-flash-001
     """
     litellm.set_verbose = True

From 8eaf4c55c0d0f05d5533b9112a767410c9e2d6ac Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:18:11 -0700
Subject: [PATCH 076/244] test_gemini_fine_tuned_model_request_consistency

---
 litellm/llms/vertex_ai/common_utils.py        |  4 ++--
 .../vertex_and_google_ai_studio_gemini.py     | 19 +++++++++++++++++++
 .../test_amazing_vertex_completion.py         |  8 ++++++++
 3 files changed, 29 insertions(+), 2 deletions(-)

diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index b5bad6b858..2361939d81 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -75,8 +75,8 @@ def _get_vertex_url(
 ) -> Tuple[str, str]:
     url: Optional[str] = None
     endpoint: Optional[str] = None
-    if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
-        model = litellm.VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
+
+    model = litellm.VertexGeminiConfig.get_model_for_vertex_ai_url(model=model)
     if mode == "chat":
         ### SET RUNTIME ENDPOINT ###
         endpoint = "generateContent"
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 0e48c690ba..8aecfffd86 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -419,6 +419,25 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             "europe-west9",
         ]
 
+    @staticmethod
+    def get_model_for_vertex_ai_url(model: str) -> str:
+        """
+        Returns the model name to use in the request to Vertex AI
+
+        Handles 2 cases:
+        1. User passed `model="vertex_ai/gemini/ft-uuid"`, we need to return `ft-uuid` for the request to Vertex AI
+        2. User passed `model="vertex_ai/gemini-2.0-flash-001"`, we need to return `gemini-2.0-flash-001` for the request to Vertex AI
+
+        Args:
+            model (str): The model name to use in the request to Vertex AI
+
+        Returns:
+            str: The model name to use in the request to Vertex AI
+        """
+        if VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+            return VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
+        return model
+
     @staticmethod
     def _is_model_gemini_gemini_spec_model(model: Optional[str]) -> bool:
         """
diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 5d99ecb5cd..83c99d766b 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -3395,6 +3395,14 @@ def test_gemini_fine_tuned_model_request_consistency():
         first_request_body = mock_post_1.call_args.kwargs["json"]
         print("first_request_body", first_request_body)
 
+        # Validate correct `model` is added to the request to Vertex AI
+        print("final URL=", mock_post_1.call_args.kwargs["url"])
+        # Validate the request url
+        assert (
+            "publishers/google/models/ft-uuid:generateContent"
+            in mock_post_1.call_args.kwargs["url"]
+        )
+
     # Second request
     with patch.object(client, "post", new=MagicMock()) as mock_post_2:
         try:

From 72f08bc6eae994092479f155790db2e59c4903e6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:21:35 -0700
Subject: [PATCH 077/244] unit tests for VertexGeminiConfig

---
 .../test_vertex_and_google_ai_studio.py       | 38 +++++++++++++++++++
 1 file changed, 38 insertions(+)

diff --git a/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
index 5e870b5af3..9fc9be7e0f 100644
--- a/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
+++ b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
@@ -31,3 +31,41 @@ def test_top_logprobs():
     )
     assert v["responseLogprobs"] is non_default_params["logprobs"]
     assert v["logprobs"] is non_default_params["top_logprobs"]
+
+
+def test_get_model_for_vertex_ai_url():
+    # Test case 1: Regular model name
+    model = "gemini-pro"
+    result = VertexGeminiConfig.get_model_for_vertex_ai_url(model)
+    assert result == "gemini-pro"
+
+    # Test case 2: Gemini spec model with UUID
+    model = "gemini/ft-uuid-123"
+    result = VertexGeminiConfig.get_model_for_vertex_ai_url(model)
+    assert result == "ft-uuid-123"
+
+
+def test_is_model_gemini_gemini_spec_model():
+    # Test case 1: None input
+    assert VertexGeminiConfig._is_model_gemini_gemini_spec_model(None) == False
+
+    # Test case 2: Regular model name
+    assert VertexGeminiConfig._is_model_gemini_gemini_spec_model("gemini-pro") == False
+
+    # Test case 3: Gemini spec model
+    assert (
+        VertexGeminiConfig._is_model_gemini_gemini_spec_model("gemini/custom-model")
+        == True
+    )
+
+
+def test_get_model_name_from_gemini_spec_model():
+    # Test case 1: Regular model name
+    model = "gemini-pro"
+    result = VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
+    assert result == "gemini-pro"
+
+    # Test case 2: Gemini spec model
+    model = "gemini/ft-uuid-123"
+    result = VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
+    assert result == "ft-uuid-123"

From c38b41f65b69cc6059dfe665e58324bef38508e8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:26:08 -0700
Subject: [PATCH 078/244] test_get_supports_system_message

---
 .../vertex_ai/test_vertex_ai_common_utils.py   | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
index e89355443f..b94d7495cb 100644
--- a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
+++ b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
@@ -41,3 +41,21 @@ async def test_get_vertex_location_from_url():
     url = "https://invalid-url.com"
     location = get_vertex_location_from_url(url)
     assert location is None
+
+
+@pytest.mark.asyncio
+async def test_get_supports_system_message():
+    """Test get_supports_system_message with different models"""
+    from litellm.llms.vertex_ai.common_utils import get_supports_system_message
+
+    # fine-tuned vertex gemini models will specifiy they are in the /gemini spec format
+    result = get_supports_system_message(
+        model="gemini/1234567890", custom_llm_provider="vertex_ai"
+    )
+    assert result == True
+
+    # non-fine-tuned vertex gemini models will not specifiy they are in the /gemini spec format
+    result = get_supports_system_message(
+        model="random-model-name", custom_llm_provider="vertex_ai"
+    )
+    assert result == False

From 0aae9aa24ada456e3013c146414305c66e3db8d4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:28:26 -0700
Subject: [PATCH 079/244] rename _is_model_gemini_spec_model

---
 litellm/llms/vertex_ai/common_utils.py                |  2 +-
 .../gemini/vertex_and_google_ai_studio_gemini.py      |  4 ++--
 .../gemini/test_vertex_and_google_ai_studio.py        | 11 ++++-------
 3 files changed, 7 insertions(+), 10 deletions(-)

diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index 2361939d81..9c9db2f047 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -31,7 +31,7 @@ def get_supports_system_message(
         )
 
         # Vertex Models called in the `/gemini` request/response format also support system messages
-        if litellm.VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+        if litellm.VertexGeminiConfig._is_model_gemini_spec_model(model):
             supports_system_message = True
     except Exception as e:
         verbose_logger.warning(
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 8aecfffd86..2931b1b3a8 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -434,12 +434,12 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         Returns:
             str: The model name to use in the request to Vertex AI
         """
-        if VertexGeminiConfig._is_model_gemini_gemini_spec_model(model):
+        if VertexGeminiConfig._is_model_gemini_spec_model(model):
             return VertexGeminiConfig._get_model_name_from_gemini_spec_model(model)
         return model
 
     @staticmethod
-    def _is_model_gemini_gemini_spec_model(model: Optional[str]) -> bool:
+    def _is_model_gemini_spec_model(model: Optional[str]) -> bool:
         """
         Returns true if user is trying to call custom model in `/gemini` request/response format
         """
diff --git a/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
index 9fc9be7e0f..18d965200c 100644
--- a/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
+++ b/tests/litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio.py
@@ -45,18 +45,15 @@ def test_get_model_for_vertex_ai_url():
     assert result == "ft-uuid-123"
 
 
-def test_is_model_gemini_gemini_spec_model():
+def test_is_model_gemini_spec_model():
     # Test case 1: None input
-    assert VertexGeminiConfig._is_model_gemini_gemini_spec_model(None) == False
+    assert VertexGeminiConfig._is_model_gemini_spec_model(None) == False
 
     # Test case 2: Regular model name
-    assert VertexGeminiConfig._is_model_gemini_gemini_spec_model("gemini-pro") == False
+    assert VertexGeminiConfig._is_model_gemini_spec_model("gemini-pro") == False
 
     # Test case 3: Gemini spec model
-    assert (
-        VertexGeminiConfig._is_model_gemini_gemini_spec_model("gemini/custom-model")
-        == True
-    )
+    assert VertexGeminiConfig._is_model_gemini_spec_model("gemini/custom-model") == True
 
 
 def test_get_model_name_from_gemini_spec_model():

From 1812ce4a54e5c15c1206667b812c7fde924ed0d2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:43:03 -0700
Subject: [PATCH 080/244] undo config.yml changes

---
 .circleci/config.yml | 49 +-------------------------------------------
 1 file changed, 1 insertion(+), 48 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 43de7e69e8..5a058144f6 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -710,44 +710,6 @@ jobs:
           paths:
             - llm_translation_coverage.xml
             - llm_translation_coverage
-  litellm_proxy_reliability_tests:
-    docker:
-      - image: cimg/python:3.11
-        auth:
-          username: ${DOCKERHUB_USERNAME}
-          password: ${DOCKERHUB_PASSWORD}
-    working_directory: ~/project
-
-    steps:
-      - checkout
-      - run:
-          name: Install Dependencies
-          command: |
-            python -m pip install --upgrade pip
-            python -m pip install -r requirements.txt
-            pip install "pytest==7.3.1"
-            pip install "pytest-retry==1.6.3"
-            pip install "pytest-cov==5.0.0"
-            pip install "pytest-asyncio==0.21.1"
-            pip install "respx==0.21.1"
-      # Run pytest and generate JUnit XML report
-      - run:
-          name: Setup Toxiproxy
-          command: |
-            python tests/proxy_reliability_tests/setup_toxi_proxy.py &
-            sleep 5
-      - run:
-          name: Run tests
-          command: |
-            pwd
-            ls
-            python -m pytest -vv tests/proxy_reliability_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5
-          no_output_timeout: 120m
-      - run:
-          name: Rename the coverage files
-          command: |
-            mv coverage.xml litellm_proxy_reliability_tests_coverage.xml
-            mv .coverage litellm_proxy_reliability_tests_coverage
   mcp_testing:
     docker:
       - image: cimg/python:3.11
@@ -1968,7 +1930,7 @@ jobs:
           no_output_timeout:
             120m
             # Clean up first container
-
+      
   proxy_build_from_pip_tests:
     # Change from docker to machine executor
     machine:
@@ -2536,13 +2498,6 @@ workflows:
               only:
                 - main
                 - /litellm_.*/
-      - litellm_proxy_reliability_tests:
-          filters:
-            branches:
-              only:
-                - main
-                - /litellm_stability_.*/
-                - litellm_stable_release_branch
       - litellm_assistants_api_testing:
           filters:
             branches:
@@ -2684,7 +2639,6 @@ workflows:
             - caching_unit_tests
             - litellm_proxy_unit_testing
             - litellm_proxy_security_tests
-            - litellm_proxy_reliability_tests
             - langfuse_logging_unit_tests
             - local_testing
             - litellm_assistants_api_testing
@@ -2750,7 +2704,6 @@ workflows:
             - e2e_ui_testing
             - litellm_proxy_unit_testing
             - litellm_proxy_security_tests
-            - litellm_proxy_reliability_tests
             - installing_litellm_on_python
             - installing_litellm_on_python_3_13
             - proxy_logging_guardrails_model_info_tests

From 4948673e3572b16f95057e881d219b598a6a9d04 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:51:33 -0700
Subject: [PATCH 081/244] fix test changes

---
 .../setup_toxi_proxy.py                       | 96 -------------------
 .../test_configs/test_config.yaml             |  9 --
 .../test_using_litellm_db_outage.py           | 76 ---------------
 3 files changed, 181 deletions(-)
 delete mode 100644 tests/proxy_reliability_tests/setup_toxi_proxy.py
 delete mode 100644 tests/proxy_reliability_tests/test_configs/test_config.yaml
 delete mode 100644 tests/proxy_reliability_tests/test_using_litellm_db_outage.py

diff --git a/tests/proxy_reliability_tests/setup_toxi_proxy.py b/tests/proxy_reliability_tests/setup_toxi_proxy.py
deleted file mode 100644
index b44298aca5..0000000000
--- a/tests/proxy_reliability_tests/setup_toxi_proxy.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import os
-import platform
-import subprocess
-import time
-import requests
-import stat
-
-
-def download_toxiproxy():
-    # Determine system architecture and OS
-    system = platform.system().lower()
-    machine = platform.machine().lower()
-
-    # Map architecture names
-    arch_map = {
-        "x86_64": "amd64",
-        "amd64": "amd64",
-        "arm64": "arm64",
-        "aarch64": "arm64",
-    }
-
-    arch = arch_map.get(machine, machine)
-
-    # Construct download URL (using latest version 2.5.0)
-    base_url = "https://github.com/Shopify/toxiproxy/releases/download/v2.5.0/"
-    if system == "linux":
-        filename = f"toxiproxy-server-linux-{arch}"
-        cli_filename = f"toxiproxy-cli-linux-{arch}"
-    elif system == "darwin":
-        filename = f"toxiproxy-server-darwin-{arch}"
-        cli_filename = f"toxiproxy-cli-darwin-{arch}"
-    else:
-        raise Exception("Unsupported operating system")
-
-    # Download server
-    response = requests.get(f"{base_url}{filename}")
-    with open("toxiproxy-server", "wb") as f:
-        f.write(response.content)
-
-    # Download CLI
-    response = requests.get(f"{base_url}{cli_filename}")
-    with open("toxiproxy-cli", "wb") as f:
-        f.write(response.content)
-
-    # Make files executable
-    os.chmod("toxiproxy-server", stat.S_IRWXU)
-    os.chmod("toxiproxy-cli", stat.S_IRWXU)
-
-
-def setup_toxiproxy():
-    # Start toxiproxy-server
-    server_process = subprocess.Popen(["./toxiproxy-server"])
-
-    # Wait for server to start
-    time.sleep(2)
-
-    # Create proxy
-    subprocess.run(
-        [
-            "./toxiproxy-cli",
-            "create",
-            "-l",
-            "0.0.0.0:6666",
-            "-u",
-            "ep-dry-paper-a69g2y1q-pooler.us-west-2.aws.neon.tech:5432",
-            "postgres_proxy",
-        ]
-    )
-
-    return server_process
-
-
-def main():
-    try:
-        # Download ToxiProxy binaries
-        download_toxiproxy()
-
-        # Setup ToxiProxy
-        server_process = setup_toxiproxy()
-
-        print("ToxiProxy setup completed successfully!")
-        print("Proxy 'postgres_proxy' created and listening on 127.0.0.1:6666")
-
-        # Keep the script running to maintain the proxy
-        try:
-            server_process.wait()
-        except KeyboardInterrupt:
-            server_process.terminate()
-            print("\nToxiProxy server stopped")
-
-    except Exception as e:
-        print(f"Error: {e}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/tests/proxy_reliability_tests/test_configs/test_config.yaml b/tests/proxy_reliability_tests/test_configs/test_config.yaml
deleted file mode 100644
index 4912a35f89..0000000000
--- a/tests/proxy_reliability_tests/test_configs/test_config.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model_list:
-  - model_name: fake-openai-endpoint
-    litellm_params:
-      model: openai/fake
-      api_key: fake-key
-      api_base: https://exampleopenaiendpoint-production.up.railway.app/
-
-general_settings:
-  allow_requests_on_db_unavailable: True
\ No newline at end of file
diff --git a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py b/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
deleted file mode 100644
index ea9c7e3f3a..0000000000
--- a/tests/proxy_reliability_tests/test_using_litellm_db_outage.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import asyncio
-import os
-import subprocess
-import sys
-import time
-import traceback
-import pytest
-
-sys.path.insert(
-    0, os.path.abspath("../..")
-)  # Adds the parent directory to the system path
-
-import litellm
-
-import os
-import subprocess
-import time
-
-import pytest
-import requests
-
-TEST_MASTER_KEY = "sk-1234"
-
-
-def test_litellm_proxy_server_config_no_general_settings():
-    # Install the litellm[proxy] package
-    # Start the server
-    try:
-        subprocess.run(["pip", "install", "litellm[proxy]"])
-        filepath = os.path.dirname(os.path.abspath(__file__))
-        config_fp = f"{filepath}/test_configs/test_config.yaml"
-
-        # Set DATABASE_URL environment variable
-        os.environ["DATABASE_URL"] = os.getenv("TOXI_PROXY_DATABASE_URL")
-        os.environ["LITELLM_MASTER_KEY"] = TEST_MASTER_KEY
-
-        server_process = subprocess.Popen(
-            [
-                "python",
-                "-m",
-                "litellm.proxy.proxy_cli",
-                "--config",
-                config_fp,
-            ]
-        )
-
-        # Allow some time for the server to start
-        time.sleep(60)  # Adjust the sleep time if necessary
-
-        # Send a request to the /health/liveliness endpoint
-        response = requests.get("http://localhost:4000/health/liveliness")
-
-        # Check if the response is successful
-        assert response.status_code == 200
-        assert response.json() == "I'm alive!"
-
-        # Test /chat/completions
-        response = requests.post(
-            "http://localhost:4000/chat/completions",
-            headers={"Authorization": "Bearer 1234567890"},
-            json={
-                "model": "test_openai_models",
-                "messages": [{"role": "user", "content": "Hello, how are you?"}],
-            },
-        )
-
-        assert response.status_code == 200
-
-    except ImportError:
-        pytest.fail("Failed to import litellm.proxy_server")
-    except requests.ConnectionError:
-        pytest.fail("Failed to connect to the server")
-    finally:
-        # Shut down the server
-        server_process.terminate()
-        server_process.wait()

From f8caebc54b28dda058ec42ea638d344a5662a784 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 14:55:40 -0700
Subject: [PATCH 082/244] is_database_connection_error

---
 litellm/proxy/_types.py                      |  4 ++++
 litellm/proxy/auth/auth_exception_handler.py | 10 +++++++---
 litellm/proxy/auth/user_api_key_auth.py      |  9 ++++++---
 3 files changed, 17 insertions(+), 6 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index c0fb0750eb..104d1e7338 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2070,6 +2070,10 @@ class ProxyErrorTypes(str, enum.Enum):
     """
     Object was over budget
     """
+    no_db_connection = "no_db_connection"
+    """
+    No database connection
+    """
 
     token_not_found_in_db = "token_not_found_in_db"
     """
diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py
index 5b314ef931..c1a546b569 100644
--- a/litellm/proxy/auth/auth_exception_handler.py
+++ b/litellm/proxy/auth/auth_exception_handler.py
@@ -144,6 +144,10 @@ class UserAPIKeyAuthExceptionHandler:
         """
         import prisma
 
-        return isinstance(e, DB_CONNECTION_ERROR_TYPES) or isinstance(
-            e, prisma.errors.PrismaError
-        )
+        if isinstance(e, DB_CONNECTION_ERROR_TYPES):
+            return True
+        if isinstance(e, prisma.errors.PrismaError):
+            return True
+        if isinstance(e, ProxyException) and e.type == ProxyErrorTypes.no_db_connection:
+            return True
+        return False
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 06fa560866..85ee76ff31 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -675,7 +675,12 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
         if (
             prisma_client is None
         ):  # if both master key + user key submitted, and user key != master key, and no db connected, raise an error
-            raise Exception("No connected db.")
+            raise ProxyException(
+                message="No connected db.",
+                type=ProxyErrorTypes.no_db_connection,
+                code=400,
+                param=None,
+            )
 
         ## check for cache hit (In-Memory Cache)
         _user_role = None
@@ -1001,8 +1006,6 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
                 route=route,
                 start_time=start_time,
             )
-        else:
-            raise Exception()
     except Exception as e:
         return await UserAPIKeyAuthExceptionHandler._handle_authentication_error(
             e=e,

From 8bd2081dec15c2255e295302687a1e1c4ce413e3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 15:41:40 -0700
Subject: [PATCH 083/244] fix get_key_object

---
 litellm/proxy/auth/auth_checks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 9e71147706..dc0ec116f5 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -996,7 +996,7 @@ async def get_key_object(
 
     if _valid_token is None:
         raise ProxyException(
-            message="Key doesn't exist in db. key={}. Create key via `/key/generate` call.".format(
+            message="Invalid proxy server token passed. key={}, not found in db. Create key via `/key/generate` call.".format(
                 hashed_token
             ),
             type=ProxyErrorTypes.token_not_found_in_db,

From ff33ed020cc72fd4fa5541f58d4974f731b11006 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 15:45:58 -0700
Subject: [PATCH 084/244] fix auth checks

---
 litellm/proxy/auth/auth_checks.py       | 3 ---
 litellm/proxy/auth/user_api_key_auth.py | 1 -
 2 files changed, 4 deletions(-)

diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index dc0ec116f5..7f75272bbd 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -11,7 +11,6 @@ Run checks for:
 import asyncio
 import re
 import time
-import traceback
 from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, cast
 
 from fastapi import Request, status
@@ -23,7 +22,6 @@ from litellm.caching.caching import DualCache
 from litellm.caching.dual_cache import LimitedSizeOrderedDict
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
 from litellm.proxy._types import (
-    DB_CONNECTION_ERROR_TYPES,
     RBAC_ROLES,
     CallInfo,
     LiteLLM_EndUserTable,
@@ -45,7 +43,6 @@ from litellm.proxy.auth.route_checks import RouteChecks
 from litellm.proxy.route_llm_request import route_request
 from litellm.proxy.utils import PrismaClient, ProxyLogging, log_db_metrics
 from litellm.router import Router
-from litellm.types.services import ServiceTypes
 
 from .auth_checks_organization import organization_role_based_access_check
 
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 85ee76ff31..b58353bf05 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -39,7 +39,6 @@ from litellm.proxy.auth.auth_checks import (
 )
 from litellm.proxy.auth.auth_exception_handler import UserAPIKeyAuthExceptionHandler
 from litellm.proxy.auth.auth_utils import (
-    _get_request_ip_address,
     get_end_user_id_from_request_body,
     get_request_route,
     is_pass_through_provider_route,

From 23aa7f81b562b4cd96079e05733acb56b7c0bd1b Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 15:53:33 -0700
Subject: [PATCH 085/244] fix ProxyException

---
 litellm/proxy/auth/auth_checks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 7f75272bbd..efbfe8d90c 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -993,7 +993,7 @@ async def get_key_object(
 
     if _valid_token is None:
         raise ProxyException(
-            message="Invalid proxy server token passed. key={}, not found in db. Create key via `/key/generate` call.".format(
+            message="Authentication Error, Invalid proxy server token passed. key={}, not found in db. Create key via `/key/generate` call.".format(
                 hashed_token
             ),
             type=ProxyErrorTypes.token_not_found_in_db,

From 132d3f7baa528020fad5b2e869f990558a00c8b6 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 16:22:56 -0700
Subject: [PATCH 086/244] feat(prisma-migrations): add baseline db migration
 file (#9565)

adds initial baseline db migration file

enables future schema changes to be documented via .sql files
---
 ci_cd/baseline_db.py                          |  61 +++
 .../20250326162113_baseline/migration.sql     | 360 ++++++++++++++++++
 deploy/migrations/migration_lock.toml         |   1 +
 .../test_db_schema_migration.py               |  62 +++
 4 files changed, 484 insertions(+)
 create mode 100644 ci_cd/baseline_db.py
 create mode 100644 deploy/migrations/20250326162113_baseline/migration.sql
 create mode 100644 deploy/migrations/migration_lock.toml
 create mode 100644 tests/proxy_unit_tests/test_db_schema_migration.py

diff --git a/ci_cd/baseline_db.py b/ci_cd/baseline_db.py
new file mode 100644
index 0000000000..52aa5430f5
--- /dev/null
+++ b/ci_cd/baseline_db.py
@@ -0,0 +1,61 @@
+import os
+import subprocess
+from pathlib import Path
+from datetime import datetime
+
+
+def create_baseline():
+    """Create baseline migration in deploy/migrations"""
+    try:
+        # Get paths
+        root_dir = Path(__file__).parent.parent
+        deploy_dir = root_dir / "deploy"
+        migrations_dir = deploy_dir / "migrations"
+        schema_path = root_dir / "schema.prisma"
+
+        # Create migrations directory
+        migrations_dir.mkdir(parents=True, exist_ok=True)
+
+        # Create migration_lock.toml if it doesn't exist
+        lock_file = migrations_dir / "migration_lock.toml"
+        if not lock_file.exists():
+            lock_file.write_text('provider = "postgresql"\n')
+
+        # Create timestamp-based migration directory
+        timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+        migration_dir = migrations_dir / f"{timestamp}_baseline"
+        migration_dir.mkdir(parents=True, exist_ok=True)
+
+        # Generate migration SQL
+        result = subprocess.run(
+            [
+                "prisma",
+                "migrate",
+                "diff",
+                "--from-empty",
+                "--to-schema-datamodel",
+                str(schema_path),
+                "--script",
+            ],
+            capture_output=True,
+            text=True,
+            check=True,
+        )
+
+        # Write the SQL to migration.sql
+        migration_file = migration_dir / "migration.sql"
+        migration_file.write_text(result.stdout)
+
+        print(f"Created baseline migration in {migration_dir}")
+        return True
+
+    except subprocess.CalledProcessError as e:
+        print(f"Error running prisma command: {e.stderr}")
+        return False
+    except Exception as e:
+        print(f"Error creating baseline migration: {str(e)}")
+        return False
+
+
+if __name__ == "__main__":
+    create_baseline()
diff --git a/deploy/migrations/20250326162113_baseline/migration.sql b/deploy/migrations/20250326162113_baseline/migration.sql
new file mode 100644
index 0000000000..fb8a44814f
--- /dev/null
+++ b/deploy/migrations/20250326162113_baseline/migration.sql
@@ -0,0 +1,360 @@
+-- CreateTable
+CREATE TABLE "LiteLLM_BudgetTable" (
+    "budget_id" TEXT NOT NULL,
+    "max_budget" DOUBLE PRECISION,
+    "soft_budget" DOUBLE PRECISION,
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "model_max_budget" JSONB,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_BudgetTable_pkey" PRIMARY KEY ("budget_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_CredentialsTable" (
+    "credential_id" TEXT NOT NULL,
+    "credential_name" TEXT NOT NULL,
+    "credential_values" JSONB NOT NULL,
+    "credential_info" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_CredentialsTable_pkey" PRIMARY KEY ("credential_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ProxyModelTable" (
+    "model_id" TEXT NOT NULL,
+    "model_name" TEXT NOT NULL,
+    "litellm_params" JSONB NOT NULL,
+    "model_info" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_ProxyModelTable_pkey" PRIMARY KEY ("model_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_OrganizationTable" (
+    "organization_id" TEXT NOT NULL,
+    "organization_alias" TEXT NOT NULL,
+    "budget_id" TEXT NOT NULL,
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "models" TEXT[],
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_OrganizationTable_pkey" PRIMARY KEY ("organization_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ModelTable" (
+    "id" SERIAL NOT NULL,
+    "aliases" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_ModelTable_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_TeamTable" (
+    "team_id" TEXT NOT NULL,
+    "team_alias" TEXT,
+    "organization_id" TEXT,
+    "admins" TEXT[],
+    "members" TEXT[],
+    "members_with_roles" JSONB NOT NULL DEFAULT '{}',
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "max_budget" DOUBLE PRECISION,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "models" TEXT[],
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "blocked" BOOLEAN NOT NULL DEFAULT false,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "model_id" INTEGER,
+
+    CONSTRAINT "LiteLLM_TeamTable_pkey" PRIMARY KEY ("team_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_UserTable" (
+    "user_id" TEXT NOT NULL,
+    "user_alias" TEXT,
+    "team_id" TEXT,
+    "sso_user_id" TEXT,
+    "organization_id" TEXT,
+    "password" TEXT,
+    "teams" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "user_role" TEXT,
+    "max_budget" DOUBLE PRECISION,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "user_email" TEXT,
+    "models" TEXT[],
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "LiteLLM_UserTable_pkey" PRIMARY KEY ("user_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_VerificationToken" (
+    "token" TEXT NOT NULL,
+    "key_name" TEXT,
+    "key_alias" TEXT,
+    "soft_budget_cooldown" BOOLEAN NOT NULL DEFAULT false,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "expires" TIMESTAMP(3),
+    "models" TEXT[],
+    "aliases" JSONB NOT NULL DEFAULT '{}',
+    "config" JSONB NOT NULL DEFAULT '{}',
+    "user_id" TEXT,
+    "team_id" TEXT,
+    "permissions" JSONB NOT NULL DEFAULT '{}',
+    "max_parallel_requests" INTEGER,
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "blocked" BOOLEAN,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "max_budget" DOUBLE PRECISION,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "budget_id" TEXT,
+    "organization_id" TEXT,
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT,
+
+    CONSTRAINT "LiteLLM_VerificationToken_pkey" PRIMARY KEY ("token")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_EndUserTable" (
+    "user_id" TEXT NOT NULL,
+    "alias" TEXT,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "allowed_model_region" TEXT,
+    "default_model" TEXT,
+    "budget_id" TEXT,
+    "blocked" BOOLEAN NOT NULL DEFAULT false,
+
+    CONSTRAINT "LiteLLM_EndUserTable_pkey" PRIMARY KEY ("user_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_Config" (
+    "param_name" TEXT NOT NULL,
+    "param_value" JSONB,
+
+    CONSTRAINT "LiteLLM_Config_pkey" PRIMARY KEY ("param_name")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_SpendLogs" (
+    "request_id" TEXT NOT NULL,
+    "call_type" TEXT NOT NULL,
+    "api_key" TEXT NOT NULL DEFAULT '',
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "total_tokens" INTEGER NOT NULL DEFAULT 0,
+    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
+    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
+    "startTime" TIMESTAMP(3) NOT NULL,
+    "endTime" TIMESTAMP(3) NOT NULL,
+    "completionStartTime" TIMESTAMP(3),
+    "model" TEXT NOT NULL DEFAULT '',
+    "model_id" TEXT DEFAULT '',
+    "model_group" TEXT DEFAULT '',
+    "custom_llm_provider" TEXT DEFAULT '',
+    "api_base" TEXT DEFAULT '',
+    "user" TEXT DEFAULT '',
+    "metadata" JSONB DEFAULT '{}',
+    "cache_hit" TEXT DEFAULT '',
+    "cache_key" TEXT DEFAULT '',
+    "request_tags" JSONB DEFAULT '[]',
+    "team_id" TEXT,
+    "end_user" TEXT,
+    "requester_ip_address" TEXT,
+    "messages" JSONB DEFAULT '{}',
+    "response" JSONB DEFAULT '{}',
+
+    CONSTRAINT "LiteLLM_SpendLogs_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ErrorLogs" (
+    "request_id" TEXT NOT NULL,
+    "startTime" TIMESTAMP(3) NOT NULL,
+    "endTime" TIMESTAMP(3) NOT NULL,
+    "api_base" TEXT NOT NULL DEFAULT '',
+    "model_group" TEXT NOT NULL DEFAULT '',
+    "litellm_model_name" TEXT NOT NULL DEFAULT '',
+    "model_id" TEXT NOT NULL DEFAULT '',
+    "request_kwargs" JSONB NOT NULL DEFAULT '{}',
+    "exception_type" TEXT NOT NULL DEFAULT '',
+    "exception_string" TEXT NOT NULL DEFAULT '',
+    "status_code" TEXT NOT NULL DEFAULT '',
+
+    CONSTRAINT "LiteLLM_ErrorLogs_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_UserNotifications" (
+    "request_id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "models" TEXT[],
+    "justification" TEXT NOT NULL,
+    "status" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_UserNotifications_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_TeamMembership" (
+    "user_id" TEXT NOT NULL,
+    "team_id" TEXT NOT NULL,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "budget_id" TEXT,
+
+    CONSTRAINT "LiteLLM_TeamMembership_pkey" PRIMARY KEY ("user_id","team_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_OrganizationMembership" (
+    "user_id" TEXT NOT NULL,
+    "organization_id" TEXT NOT NULL,
+    "user_role" TEXT,
+    "spend" DOUBLE PRECISION DEFAULT 0.0,
+    "budget_id" TEXT,
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "LiteLLM_OrganizationMembership_pkey" PRIMARY KEY ("user_id","organization_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_InvitationLink" (
+    "id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "is_accepted" BOOLEAN NOT NULL DEFAULT false,
+    "accepted_at" TIMESTAMP(3),
+    "expires_at" TIMESTAMP(3) NOT NULL,
+    "created_at" TIMESTAMP(3) NOT NULL,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_InvitationLink_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_AuditLog" (
+    "id" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "changed_by" TEXT NOT NULL DEFAULT '',
+    "changed_by_api_key" TEXT NOT NULL DEFAULT '',
+    "action" TEXT NOT NULL,
+    "table_name" TEXT NOT NULL,
+    "object_id" TEXT NOT NULL,
+    "before_value" JSONB,
+    "updated_values" JSONB,
+
+    CONSTRAINT "LiteLLM_AuditLog_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_CredentialsTable_credential_name_key" ON "LiteLLM_CredentialsTable"("credential_name");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_TeamTable_model_id_key" ON "LiteLLM_TeamTable"("model_id");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_UserTable_sso_user_id_key" ON "LiteLLM_UserTable"("sso_user_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_SpendLogs_startTime_idx" ON "LiteLLM_SpendLogs"("startTime");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_SpendLogs_end_user_idx" ON "LiteLLM_SpendLogs"("end_user");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_OrganizationMembership_user_id_organization_id_key" ON "LiteLLM_OrganizationMembership"("user_id", "organization_id");
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationTable" ADD CONSTRAINT "LiteLLM_OrganizationTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_model_id_fkey" FOREIGN KEY ("model_id") REFERENCES "LiteLLM_ModelTable"("id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_UserTable" ADD CONSTRAINT "LiteLLM_UserTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_EndUserTable" ADD CONSTRAINT "LiteLLM_EndUserTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamMembership" ADD CONSTRAINT "LiteLLM_TeamMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_created_by_fkey" FOREIGN KEY ("created_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_updated_by_fkey" FOREIGN KEY ("updated_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
diff --git a/deploy/migrations/migration_lock.toml b/deploy/migrations/migration_lock.toml
new file mode 100644
index 0000000000..2fe25d87cc
--- /dev/null
+++ b/deploy/migrations/migration_lock.toml
@@ -0,0 +1 @@
+provider = "postgresql"
diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
new file mode 100644
index 0000000000..ea50688548
--- /dev/null
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -0,0 +1,62 @@
+import pytest
+import os
+import subprocess
+from pathlib import Path
+from pytest_postgresql import factories
+
+# Create postgresql fixture
+postgresql_my_proc = factories.postgresql_proc(port=None)
+postgresql_my = factories.postgresql("postgresql_my_proc")
+
+
+@pytest.fixture(scope="function")
+def schema_setup(postgresql_my):
+    """Fixture to provide a test postgres database"""
+    return postgresql_my
+
+
+def test_schema_migration_check(schema_setup):
+    """Test to check if schema requires migration"""
+    # Set test database URL
+    test_db_url = f"postgresql://{schema_setup.info.user}:@{schema_setup.info.host}:{schema_setup.info.port}/{schema_setup.info.dbname}"
+    os.environ["DATABASE_URL"] = test_db_url
+
+    deploy_dir = Path("./deploy")
+    migrations_dir = deploy_dir / "migrations"
+
+    print(migrations_dir)
+    if not migrations_dir.exists() or not any(migrations_dir.iterdir()):
+        print("No existing migrations found - first migration needed")
+        pytest.fail("No existing migrations found - first migration needed")
+
+    # If migrations exist, check for changes
+    result = subprocess.run(
+        ["prisma", "migrate", "status"], capture_output=True, text=True
+    )
+
+    status_output = result.stdout.lower()
+    needs_migration = any(
+        state in status_output for state in ["drift detected", "pending"]
+    )
+
+    if needs_migration:
+        print("Schema changes detected. New migration needed.")
+        # Show the differences
+        diff_result = subprocess.run(
+            [
+                "prisma",
+                "migrate",
+                "diff",
+                "--from-migrations",
+                "--to-schema-datamodel",
+                "schema.prisma",
+            ],
+            capture_output=True,
+            text=True,
+        )
+        print("Schema differences:")
+        print(diff_result.stdout)
+    else:
+        print("No schema changes detected. Migration not needed.")
+
+    assert not needs_migration, "Schema changes detected - new migration required"

From fb9abd40f30c72c777974d30674e0ecb9ae38218 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 16:25:08 -0700
Subject: [PATCH 087/244] ci(config.yml): add pytest-postgres to ci/cd

---
 .circleci/config.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 5a058144f6..91636c5625 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -555,6 +555,7 @@ jobs:
             pip install "diskcache==5.6.1"
             pip install "Pillow==10.3.0"
             pip install "jsonschema==4.22.0"
+            pip install "pytest-postgresql==7.0.1"
       - save_cache:
           paths:
             - ./venv

From 37265c8b1c1bb88f7f7de2afe07474aa0b5c7c03 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 16:36:36 -0700
Subject: [PATCH 088/244] Add Daily User Spend Aggregate view - allows UI Usage
 tab to work > 1m rows (#9538)

* ci: update github action

* build(schema.prisma): enable daily user spend table

allows storing aggregate view of user's daily spend

* build(schema.prisma): add new daily user spend table

* feat: working daily user spend tracking

maintains an aggregate view for easier querying in high traffic

* setup_google_dns

* ci: update ci yaml

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
---
 litellm/proxy/_types.py       |  12 ++
 litellm/proxy/proxy_server.py |   3 +
 litellm/proxy/schema.prisma   |  23 ++++
 litellm/proxy/utils.py        | 231 +++++++++++++++++++++++++++++++++-
 schema.prisma                 |  22 ++++
 5 files changed, 290 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 220a0d5ddb..ebe7d1e955 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2646,3 +2646,15 @@ class DefaultInternalUserParams(LiteLLMPydanticObjectBase):
     models: Optional[List[str]] = Field(
         default=None, description="Default list of models that new users can access"
     )
+
+
+class DailyUserSpendTransaction(TypedDict):
+    user_id: str
+    date: str
+    api_key: str
+    model: str
+    model_group: Optional[str]
+    custom_llm_provider: Optional[str]
+    prompt_tokens: int
+    completion_tokens: int
+    spend: float
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 568253735c..eefc0bdd06 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -558,6 +558,7 @@ async def proxy_startup_event(app: FastAPI):
             proxy_batch_write_at=proxy_batch_write_at,
             proxy_logging_obj=proxy_logging_obj,
         )
+
     ## [Optional] Initialize dd tracer
     ProxyStartupEvent._init_dd_tracer()
 
@@ -914,6 +915,8 @@ def _set_spend_logs_payload(
         prisma_client.spend_log_transactions.append(payload)
     elif prisma_client is not None:
         prisma_client.spend_log_transactions.append(payload)
+
+    prisma_client.add_spend_log_transaction_to_daily_user_transaction(payload.copy())
     return prisma_client
 
 
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index e453e74b46..9269e89014 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -313,3 +313,26 @@ model LiteLLM_AuditLog {
   before_value       Json?       // value of the row 
   updated_values     Json?       // value of the row after change
 }
+
+
+// Track daily user spend metrics per model and key
+model LiteLLM_DailyUserSpend {
+  id                  String   @id @default(uuid())
+  user_id             String
+  date                String
+  api_key             String   // Hashed API Token
+  model               String   // The specific model used
+  model_group         String?  // public model_name / model_group
+  custom_llm_provider String?  // The LLM provider (e.g., "openai", "anthropic")
+  prompt_tokens       Int      @default(0)
+  completion_tokens   Int      @default(0)
+  spend               Float    @default(0.0)
+  created_at          DateTime @default(now())
+  updated_at          DateTime @updatedAt
+
+  @@unique([user_id, date, api_key, model, custom_llm_provider])
+  @@index([date])
+  @@index([user_id])
+  @@index([api_key])
+  @@index([model])
+}
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 0e7ae45596..7f1ac814a8 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -10,13 +10,15 @@ import traceback
 from datetime import datetime, timedelta
 from email.mime.multipart import MIMEMultipart
 from email.mime.text import MIMEText
-from typing import TYPE_CHECKING, Any, List, Literal, Optional, Union, overload
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union, overload
 
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     CommonProxyErrors,
+    DailyUserSpendTransaction,
     ProxyErrorTypes,
     ProxyException,
+    SpendLogsPayload,
 )
 from litellm.types.guardrails import GuardrailEventHooks
 
@@ -1103,6 +1105,7 @@ class PrismaClient:
     team_member_list_transactons: dict = {}  # key is ["team_id" + "user_id"]
     org_list_transactons: dict = {}
     spend_log_transactions: List = []
+    daily_user_spend_transactions: Dict[str, DailyUserSpendTransaction] = {}
 
     def __init__(
         self,
@@ -1140,6 +1143,61 @@ class PrismaClient:
             )  # Client to connect to Prisma db
         verbose_proxy_logger.debug("Success - Created Prisma Client")
 
+    def add_spend_log_transaction_to_daily_user_transaction(
+        self, payload: Union[dict, SpendLogsPayload]
+    ):
+        """
+        Add a spend log transaction to the daily user transaction list
+
+        Key = @@unique([user_id, date, api_key, model, custom_llm_provider])    )
+
+        If key exists, update the transaction with the new spend and usage
+        """
+        expected_keys = ["user", "startTime", "api_key", "model", "custom_llm_provider"]
+        if not all(key in payload for key in expected_keys):
+            verbose_proxy_logger.debug(
+                f"Missing expected keys: {expected_keys}, in payload, skipping from daily_user_spend_transactions"
+            )
+            return
+
+        if isinstance(payload["startTime"], datetime):
+            start_time = payload["startTime"].isoformat()
+            date = start_time.split("T")[0]
+        elif isinstance(payload["startTime"], str):
+            date = payload["startTime"].split("T")[0]
+        else:
+            verbose_proxy_logger.debug(
+                f"Invalid start time: {payload['startTime']}, skipping from daily_user_spend_transactions"
+            )
+            return
+        try:
+            daily_transaction_key = f"{payload['user']}_{date}_{payload['api_key']}_{payload['model']}_{payload['custom_llm_provider']}"
+            if daily_transaction_key in self.daily_user_spend_transactions:
+                daily_transaction = self.daily_user_spend_transactions[
+                    daily_transaction_key
+                ]
+                daily_transaction["spend"] += payload["spend"]
+                daily_transaction["prompt_tokens"] += payload["prompt_tokens"]
+                daily_transaction["completion_tokens"] += payload["completion_tokens"]
+            else:
+                daily_transaction = DailyUserSpendTransaction(
+                    user_id=payload["user"],
+                    date=date,
+                    api_key=payload["api_key"],
+                    model=payload["model"],
+                    model_group=payload["model_group"],
+                    custom_llm_provider=payload["custom_llm_provider"],
+                    prompt_tokens=payload["prompt_tokens"],
+                    completion_tokens=payload["completion_tokens"],
+                    spend=payload["spend"],
+                )
+
+            self.daily_user_spend_transactions[daily_transaction_key] = (
+                daily_transaction
+            )
+        except Exception as e:
+            raise e
+
     def hash_token(self, token: str):
         # Hash the string using SHA-256
         hashed_token = hashlib.sha256(token.encode()).hexdigest()
@@ -2476,6 +2534,116 @@ class ProxyUpdateSpend:
                 e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
             )
 
+    @staticmethod
+    async def update_daily_user_spend(
+        n_retry_times: int,
+        prisma_client: PrismaClient,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Batch job to update LiteLLM_DailyUserSpend table using in-memory daily_spend_transactions
+        """
+        BATCH_SIZE = (
+            100  # Number of aggregated records to update in each database operation
+        )
+        start_time = time.time()
+
+        try:
+            for i in range(n_retry_times + 1):
+                try:
+                    # Get transactions to process
+                    transactions_to_process = dict(
+                        list(prisma_client.daily_user_spend_transactions.items())[
+                            :BATCH_SIZE
+                        ]
+                    )
+
+                    if len(transactions_to_process) == 0:
+                        verbose_proxy_logger.debug(
+                            "No new transactions to process for daily spend update"
+                        )
+                        break
+
+                    # Update DailyUserSpend table in batches
+                    async with prisma_client.db.batch_() as batcher:
+                        for _, transaction in transactions_to_process.items():
+                            user_id = transaction.get("user_id")
+                            if not user_id:  # Skip if no user_id
+                                continue
+
+                            batcher.litellm_dailyuserspend.upsert(
+                                where={
+                                    "user_id_date_api_key_model_custom_llm_provider": {
+                                        "user_id": user_id,
+                                        "date": transaction["date"],
+                                        "api_key": transaction["api_key"],
+                                        "model": transaction["model"],
+                                        "custom_llm_provider": transaction.get(
+                                            "custom_llm_provider"
+                                        ),
+                                    }
+                                },
+                                data={
+                                    "create": {
+                                        "user_id": user_id,
+                                        "date": transaction["date"],
+                                        "api_key": transaction["api_key"],
+                                        "model": transaction["model"],
+                                        "model_group": transaction.get("model_group"),
+                                        "custom_llm_provider": transaction.get(
+                                            "custom_llm_provider"
+                                        ),
+                                        "prompt_tokens": transaction["prompt_tokens"],
+                                        "completion_tokens": transaction[
+                                            "completion_tokens"
+                                        ],
+                                        "spend": transaction["spend"],
+                                    },
+                                    "update": {
+                                        "prompt_tokens": {
+                                            "increment": transaction["prompt_tokens"]
+                                        },
+                                        "completion_tokens": {
+                                            "increment": transaction[
+                                                "completion_tokens"
+                                            ]
+                                        },
+                                        "spend": {"increment": transaction["spend"]},
+                                    },
+                                },
+                            )
+
+                    verbose_proxy_logger.info(
+                        f"Processed {len(transactions_to_process)} daily spend transactions in {time.time() - start_time:.2f}s"
+                    )
+
+                    # Remove processed transactions
+                    for key in transactions_to_process.keys():
+                        prisma_client.daily_user_spend_transactions.pop(key, None)
+
+                    verbose_proxy_logger.debug(
+                        f"Processed {len(transactions_to_process)} daily spend transactions in {time.time() - start_time:.2f}s"
+                    )
+                    break
+
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if i >= n_retry_times:
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    await asyncio.sleep(2**i)  # Exponential backoff
+
+        except Exception as e:
+            # Remove processed transactions even if there was an error
+            if "transactions_to_process" in locals():
+                for key in transactions_to_process.keys():  # type: ignore
+                    prisma_client.daily_user_spend_transactions.pop(key, None)
+            _raise_failed_update_spend_exception(
+                e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+            )
+
     @staticmethod
     def disable_spend_updates() -> bool:
         """
@@ -2716,6 +2884,20 @@ async def update_spend(  # noqa: PLR0915
             db_writer_client=db_writer_client,
         )
 
+    ### UPDATE DAILY USER SPEND ###
+    verbose_proxy_logger.debug(
+        "Daily User Spend transactions: {}".format(
+            len(prisma_client.daily_user_spend_transactions)
+        )
+    )
+
+    if len(prisma_client.daily_user_spend_transactions) > 0:
+        await ProxyUpdateSpend.update_daily_user_spend(
+            n_retry_times=n_retry_times,
+            prisma_client=prisma_client,
+            proxy_logging_obj=proxy_logging_obj,
+        )
+
 
 def _raise_failed_update_spend_exception(
     e: Exception, start_time: float, proxy_logging_obj: ProxyLogging
@@ -2911,3 +3093,50 @@ def _premium_user_check():
                 "error": f"This feature is only available for LiteLLM Enterprise users. {CommonProxyErrors.not_premium_user.value}"
             },
         )
+
+
+async def _update_daily_spend_batch(prisma_client, spend_aggregates):
+    """Helper function to update daily spend in batches"""
+    async with prisma_client.db.batch_() as batcher:
+        for (
+            user_id,
+            date,
+            api_key,
+            model,
+            model_group,
+            provider,
+        ), metrics in spend_aggregates.items():
+            if not user_id:  # Skip if no user_id
+                continue
+
+            batcher.litellm_dailyuserspend.upsert(
+                where={
+                    "user_id_date_api_key_model_custom_llm_provider": {
+                        "user_id": user_id,
+                        "date": date,
+                        "api_key": api_key,
+                        "model": model,
+                        "custom_llm_provider": provider,
+                    }
+                },
+                data={
+                    "create": {
+                        "user_id": user_id,
+                        "date": date,
+                        "api_key": api_key,
+                        "model": model,
+                        "model_group": model_group,
+                        "custom_llm_provider": provider,
+                        "prompt_tokens": metrics["prompt_tokens"],
+                        "completion_tokens": metrics["completion_tokens"],
+                        "spend": metrics["spend"],
+                    },
+                    "update": {
+                        "prompt_tokens": {"increment": metrics["prompt_tokens"]},
+                        "completion_tokens": {
+                            "increment": metrics["completion_tokens"]
+                        },
+                        "spend": {"increment": metrics["spend"]},
+                    },
+                },
+            )
diff --git a/schema.prisma b/schema.prisma
index e453e74b46..3312b26354 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -313,3 +313,25 @@ model LiteLLM_AuditLog {
   before_value       Json?       // value of the row 
   updated_values     Json?       // value of the row after change
 }
+
+// Track daily user spend metrics per model and key
+model LiteLLM_DailyUserSpend {
+  id                  String   @id @default(uuid())
+  user_id             String
+  date                String
+  api_key             String   
+  model               String   
+  model_group         String?  
+  custom_llm_provider String?  
+  prompt_tokens       Int      @default(0)
+  completion_tokens   Int      @default(0)
+  spend               Float    @default(0.0)
+  created_at          DateTime @default(now())
+  updated_at          DateTime @updatedAt
+
+  @@unique([user_id, date, api_key, model, custom_llm_provider])
+  @@index([date])
+  @@index([user_id])
+  @@index([api_key])
+  @@index([model])
+}

From d4adc9764bea476cd7fb45a0fbcc92aabf5e77e6 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 16:59:50 -0700
Subject: [PATCH 089/244] test(test_db_schema_migration.py): ci/cd test to
 enforce schema migrations are documented in .sql files

---
 .../test_db_schema_migration.py               | 69 ++++++++++++-------
 1 file changed, 45 insertions(+), 24 deletions(-)

diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
index ea50688548..77052124fb 100644
--- a/tests/proxy_unit_tests/test_db_schema_migration.py
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -3,6 +3,8 @@ import os
 import subprocess
 from pathlib import Path
 from pytest_postgresql import factories
+import shutil
+import tempfile
 
 # Create postgresql fixture
 postgresql_my_proc = factories.postgresql_proc(port=None)
@@ -19,44 +21,63 @@ def test_schema_migration_check(schema_setup):
     """Test to check if schema requires migration"""
     # Set test database URL
     test_db_url = f"postgresql://{schema_setup.info.user}:@{schema_setup.info.host}:{schema_setup.info.port}/{schema_setup.info.dbname}"
+    # test_db_url = "postgresql://neondb_owner:npg_JiZPS0DAhRn4@ep-delicate-wave-a55cvbuc.us-east-2.aws.neon.tech/neondb?sslmode=require"
     os.environ["DATABASE_URL"] = test_db_url
 
-    deploy_dir = Path("./deploy")
-    migrations_dir = deploy_dir / "migrations"
+    deploy_dir = Path("../../deploy")
+    source_migrations_dir = deploy_dir / "migrations"
+    schema_path = Path("../../schema.prisma")
 
-    print(migrations_dir)
-    if not migrations_dir.exists() or not any(migrations_dir.iterdir()):
-        print("No existing migrations found - first migration needed")
-        pytest.fail("No existing migrations found - first migration needed")
+    # Create temporary migrations directory next to schema.prisma
+    temp_migrations_dir = schema_path.parent / "migrations"
 
-    # If migrations exist, check for changes
-    result = subprocess.run(
-        ["prisma", "migrate", "status"], capture_output=True, text=True
-    )
+    try:
+        # Copy migrations to correct location
+        if temp_migrations_dir.exists():
+            shutil.rmtree(temp_migrations_dir)
+        shutil.copytree(source_migrations_dir, temp_migrations_dir)
 
-    status_output = result.stdout.lower()
-    needs_migration = any(
-        state in status_output for state in ["drift detected", "pending"]
-    )
+        if not temp_migrations_dir.exists() or not any(temp_migrations_dir.iterdir()):
+            print("No existing migrations found - first migration needed")
+            pytest.fail("No existing migrations found - first migration needed")
 
-    if needs_migration:
-        print("Schema changes detected. New migration needed.")
-        # Show the differences
+        # Apply all existing migrations
+        subprocess.run(
+            ["prisma", "migrate", "deploy", "--schema", str(schema_path)], check=True
+        )
+
+        # Compare current database state against schema
         diff_result = subprocess.run(
             [
                 "prisma",
                 "migrate",
                 "diff",
-                "--from-migrations",
+                "--from-url",
+                test_db_url,
                 "--to-schema-datamodel",
-                "schema.prisma",
+                str(schema_path),
+                "--script",  # Show the SQL diff
+                "--exit-code",  # Return exit code 2 if there are differences
             ],
             capture_output=True,
             text=True,
         )
-        print("Schema differences:")
-        print(diff_result.stdout)
-    else:
-        print("No schema changes detected. Migration not needed.")
 
-    assert not needs_migration, "Schema changes detected - new migration required"
+        print("Exit code:", diff_result.returncode)
+        print("Stdout:", diff_result.stdout)
+        print("Stderr:", diff_result.stderr)
+
+        if diff_result.returncode == 2:
+            print("Schema changes detected. New migration needed.")
+            print("Schema differences:")
+            print(diff_result.stdout)
+            pytest.fail(
+                "Schema changes detected - new migration required. Run 'prisma migrate dev' to create new migration."
+            )
+        else:
+            print("No schema changes detected. Migration not needed.")
+
+    finally:
+        # Clean up: remove temporary migrations directory
+        if temp_migrations_dir.exists():
+            shutil.rmtree(temp_migrations_dir)

From 72c0ad419fb24fbafac9b095b2dcbd2475b43ffe Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 17:11:25 -0700
Subject: [PATCH 090/244] build(migration.sql): add migration file for new
 dailyusertable

documents prisma db changes
---
 ci_cd/run_migration.py                        | 96 +++++++++++++++++++
 .../migration.sql                             | 33 +++++++
 2 files changed, 129 insertions(+)
 create mode 100644 ci_cd/run_migration.py
 create mode 100644 deploy/migrations/20250326171002_add_daily_user_table/migration.sql

diff --git a/ci_cd/run_migration.py b/ci_cd/run_migration.py
new file mode 100644
index 0000000000..69b4308e57
--- /dev/null
+++ b/ci_cd/run_migration.py
@@ -0,0 +1,96 @@
+import os
+import subprocess
+from pathlib import Path
+from datetime import datetime
+import testing.postgresql
+import shutil
+
+
+def create_migration(migration_name: str = None):
+    """
+    Create a new migration SQL file in deploy/migrations directory by comparing
+    current database state with schema
+
+    Args:
+        migration_name (str): Name for the migration
+    """
+    try:
+        # Get paths
+        root_dir = Path(__file__).parent.parent
+        deploy_dir = root_dir / "deploy"
+        migrations_dir = deploy_dir / "migrations"
+        schema_path = root_dir / "schema.prisma"
+
+        # Create temporary PostgreSQL database
+        with testing.postgresql.Postgresql() as postgresql:
+            db_url = postgresql.url()
+
+            # Create temporary migrations directory next to schema.prisma
+            temp_migrations_dir = schema_path.parent / "migrations"
+
+            try:
+                # Copy existing migrations to temp directory
+                if temp_migrations_dir.exists():
+                    shutil.rmtree(temp_migrations_dir)
+                shutil.copytree(migrations_dir, temp_migrations_dir)
+
+                # Apply existing migrations to temp database
+                os.environ["DATABASE_URL"] = db_url
+                subprocess.run(
+                    ["prisma", "migrate", "deploy", "--schema", str(schema_path)],
+                    check=True,
+                )
+
+                # Generate diff between current database and schema
+                result = subprocess.run(
+                    [
+                        "prisma",
+                        "migrate",
+                        "diff",
+                        "--from-url",
+                        db_url,
+                        "--to-schema-datamodel",
+                        str(schema_path),
+                        "--script",
+                    ],
+                    capture_output=True,
+                    text=True,
+                    check=True,
+                )
+
+                if result.stdout.strip():
+                    # Generate timestamp and create migration directory
+                    timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+                    migration_name = migration_name or "unnamed_migration"
+                    migration_dir = migrations_dir / f"{timestamp}_{migration_name}"
+                    migration_dir.mkdir(parents=True, exist_ok=True)
+
+                    # Write the SQL to migration.sql
+                    migration_file = migration_dir / "migration.sql"
+                    migration_file.write_text(result.stdout)
+
+                    print(f"Created migration in {migration_dir}")
+                    return True
+                else:
+                    print("No schema changes detected. Migration not needed.")
+                    return False
+
+            finally:
+                # Clean up: remove temporary migrations directory
+                if temp_migrations_dir.exists():
+                    shutil.rmtree(temp_migrations_dir)
+
+    except subprocess.CalledProcessError as e:
+        print(f"Error generating migration: {e.stderr}")
+        return False
+    except Exception as e:
+        print(f"Error creating migration: {str(e)}")
+        return False
+
+
+if __name__ == "__main__":
+    # If running directly, can optionally pass migration name as argument
+    import sys
+
+    migration_name = sys.argv[1] if len(sys.argv) > 1 else None
+    create_migration(migration_name)
diff --git a/deploy/migrations/20250326171002_add_daily_user_table/migration.sql b/deploy/migrations/20250326171002_add_daily_user_table/migration.sql
new file mode 100644
index 0000000000..3379d8e9fd
--- /dev/null
+++ b/deploy/migrations/20250326171002_add_daily_user_table/migration.sql
@@ -0,0 +1,33 @@
+-- CreateTable
+CREATE TABLE "LiteLLM_DailyUserSpend" (
+    "id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "date" TEXT NOT NULL,
+    "api_key" TEXT NOT NULL,
+    "model" TEXT NOT NULL,
+    "model_group" TEXT,
+    "custom_llm_provider" TEXT,
+    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
+    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) NOT NULL,
+
+    CONSTRAINT "LiteLLM_DailyUserSpend_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_date_idx" ON "LiteLLM_DailyUserSpend"("date");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_user_id_idx" ON "LiteLLM_DailyUserSpend"("user_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_api_key_idx" ON "LiteLLM_DailyUserSpend"("api_key");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_model_idx" ON "LiteLLM_DailyUserSpend"("model");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_DailyUserSpend_user_id_date_api_key_model_custom_ll_key" ON "LiteLLM_DailyUserSpend"("user_id", "date", "api_key", "model", "custom_llm_provider");
+

From 04490c99d71d3ff948300bbcac85c1e8e43c9f4a Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 17:12:09 -0700
Subject: [PATCH 091/244] test: fix test

---
 tests/proxy_unit_tests/test_db_schema_migration.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
index 77052124fb..59367aa9cb 100644
--- a/tests/proxy_unit_tests/test_db_schema_migration.py
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -24,9 +24,9 @@ def test_schema_migration_check(schema_setup):
     # test_db_url = "postgresql://neondb_owner:npg_JiZPS0DAhRn4@ep-delicate-wave-a55cvbuc.us-east-2.aws.neon.tech/neondb?sslmode=require"
     os.environ["DATABASE_URL"] = test_db_url
 
-    deploy_dir = Path("../../deploy")
+    deploy_dir = Path("./deploy")
     source_migrations_dir = deploy_dir / "migrations"
-    schema_path = Path("../../schema.prisma")
+    schema_path = Path("./schema.prisma")
 
     # Create temporary migrations directory next to schema.prisma
     temp_migrations_dir = schema_path.parent / "migrations"

From 4351c77253a8355fdee17844e91eed13ed7effc4 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 17:26:25 -0700
Subject: [PATCH 092/244] Support Gemini audio token cost tracking + fix openai
 audio input token cost tracking (#9535)

* fix(vertex_and_google_ai_studio_gemini.py): log gemini audio tokens in usage object

enables accurate cost tracking

* refactor(vertex_ai/cost_calculator.py): refactor 128k+ token cost calculation to only run if model info has it

Google has moved away from this for gemini-2.0 models

* refactor(vertex_ai/cost_calculator.py): migrate to usage object for more flexible data passthrough

* fix(llm_cost_calc/utils.py): support audio token cost tracking in generic cost per token

enables vertex ai cost tracking to work with audio tokens

* fix(llm_cost_calc/utils.py): default to total prompt tokens if text tokens field not set

* refactor(llm_cost_calc/utils.py): move openai cost tracking to generic cost per token

more consistent behaviour across providers

* test: add unit test for gemini audio token cost calculation

* ci: bump ci config

* test: fix test
---
 litellm/cost_calculator.py                    |   6 +-
 .../litellm_core_utils/llm_cost_calc/utils.py |  81 ++++++++++--
 litellm/llms/openai/cost_calculation.py       |  86 ++++++-------
 litellm/llms/vertex_ai/cost_calculator.py     | 115 +++++++++++-------
 .../vertex_and_google_ai_studio_gemini.py     |  18 ++-
 litellm/types/llms/vertex_ai.py               |   6 +
 tests/litellm/test_cost_calculator.py         |  39 ++++++
 tests/local_testing/test_completion_cost.py   |  19 +--
 8 files changed, 253 insertions(+), 117 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index f5731618a3..7b95c45ac7 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -275,15 +275,13 @@ def cost_per_token(  # noqa: PLR0915
                 custom_llm_provider=custom_llm_provider,
                 prompt_characters=prompt_characters,
                 completion_characters=completion_characters,
-                prompt_tokens=prompt_tokens,
-                completion_tokens=completion_tokens,
+                usage=usage_block,
             )
         elif cost_router == "cost_per_token":
             return google_cost_per_token(
                 model=model_without_prefix,
                 custom_llm_provider=custom_llm_provider,
-                prompt_tokens=prompt_tokens,
-                completion_tokens=completion_tokens,
+                usage=usage_block,
             )
     elif custom_llm_provider == "anthropic":
         return anthropic_cost_per_token(model=model, usage=usage_block)
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 7af3a26d2e..6b778344d7 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -1,7 +1,7 @@
 # What is this?
 ## Helper utilities for cost_per_token()
 
-from typing import Optional, Tuple
+from typing import Optional, Tuple, cast
 
 import litellm
 from litellm import verbose_logger
@@ -143,26 +143,50 @@ def generic_cost_per_token(
     ### Cost of processing (non-cache hit + cache hit) + Cost of cache-writing (cache writing)
     prompt_cost = 0.0
     ### PROCESSING COST
-    non_cache_hit_tokens = usage.prompt_tokens
+    text_tokens = usage.prompt_tokens
     cache_hit_tokens = 0
-    if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens:
-        cache_hit_tokens = usage.prompt_tokens_details.cached_tokens
-        non_cache_hit_tokens = non_cache_hit_tokens - cache_hit_tokens
+    audio_tokens = 0
+    if usage.prompt_tokens_details:
+        cache_hit_tokens = (
+            cast(
+                Optional[int], getattr(usage.prompt_tokens_details, "cached_tokens", 0)
+            )
+            or 0
+        )
+        text_tokens = (
+            cast(
+                Optional[int], getattr(usage.prompt_tokens_details, "text_tokens", None)
+            )
+            or 0  # default to prompt tokens, if this field is not set
+        )
+        audio_tokens = (
+            cast(Optional[int], getattr(usage.prompt_tokens_details, "audio_tokens", 0))
+            or 0
+        )
+
+    ## EDGE CASE - text tokens not set inside PromptTokensDetails
+    if text_tokens == 0:
+        text_tokens = usage.prompt_tokens - cache_hit_tokens - audio_tokens
 
     prompt_base_cost = _get_prompt_token_base_cost(model_info=model_info, usage=usage)
 
-    prompt_cost = float(non_cache_hit_tokens) * prompt_base_cost
+    prompt_cost = float(text_tokens) * prompt_base_cost
 
     _cache_read_input_token_cost = model_info.get("cache_read_input_token_cost")
+
+    ### CACHE READ COST
     if (
         _cache_read_input_token_cost is not None
-        and usage.prompt_tokens_details
-        and usage.prompt_tokens_details.cached_tokens
+        and cache_hit_tokens is not None
+        and cache_hit_tokens > 0
     ):
-        prompt_cost += (
-            float(usage.prompt_tokens_details.cached_tokens)
-            * _cache_read_input_token_cost
-        )
+        prompt_cost += float(cache_hit_tokens) * _cache_read_input_token_cost
+
+    ### AUDIO COST
+
+    audio_token_cost = model_info.get("input_cost_per_audio_token")
+    if audio_token_cost is not None and audio_tokens is not None and audio_tokens > 0:
+        prompt_cost += float(audio_tokens) * audio_token_cost
 
     ### CACHE WRITING COST
     _cache_creation_input_token_cost = model_info.get("cache_creation_input_token_cost")
@@ -175,6 +199,37 @@ def generic_cost_per_token(
     completion_base_cost = _get_completion_token_base_cost(
         model_info=model_info, usage=usage
     )
-    completion_cost = usage["completion_tokens"] * completion_base_cost
+    text_tokens = usage.completion_tokens
+    audio_tokens = 0
+    if usage.completion_tokens_details is not None:
+        audio_tokens = (
+            cast(
+                Optional[int],
+                getattr(usage.completion_tokens_details, "audio_tokens", 0),
+            )
+            or 0
+        )
+        text_tokens = (
+            cast(
+                Optional[int],
+                getattr(usage.completion_tokens_details, "text_tokens", None),
+            )
+            or usage.completion_tokens  # default to completion tokens, if this field is not set
+        )
+
+    ## TEXT COST
+    completion_cost = float(text_tokens) * completion_base_cost
+
+    _output_cost_per_audio_token: Optional[float] = model_info.get(
+        "output_cost_per_audio_token"
+    )
+
+    ## AUDIO COST
+    if (
+        _output_cost_per_audio_token is not None
+        and audio_tokens is not None
+        and audio_tokens > 0
+    ):
+        completion_cost += float(audio_tokens) * _output_cost_per_audio_token
 
     return prompt_cost, completion_cost
diff --git a/litellm/llms/openai/cost_calculation.py b/litellm/llms/openai/cost_calculation.py
index 0c26fd7448..304c444e37 100644
--- a/litellm/llms/openai/cost_calculation.py
+++ b/litellm/llms/openai/cost_calculation.py
@@ -6,6 +6,7 @@ Helper util for handling openai-specific cost calculation
 from typing import Literal, Optional, Tuple
 
 from litellm._logging import verbose_logger
+from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
 from litellm.types.utils import CallTypes, Usage
 from litellm.utils import get_model_info
 
@@ -28,52 +29,53 @@ def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]:
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
     """
-    ## GET MODEL INFO
-    model_info = get_model_info(model=model, custom_llm_provider="openai")
     ## CALCULATE INPUT COST
-    ### Non-cached text tokens
-    non_cached_text_tokens = usage.prompt_tokens
-    cached_tokens: Optional[int] = None
-    if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens:
-        cached_tokens = usage.prompt_tokens_details.cached_tokens
-        non_cached_text_tokens = non_cached_text_tokens - cached_tokens
-    prompt_cost: float = non_cached_text_tokens * model_info["input_cost_per_token"]
-    ## Prompt Caching cost calculation
-    if model_info.get("cache_read_input_token_cost") is not None and cached_tokens:
-        # Note: We read ._cache_read_input_tokens from the Usage - since cost_calculator.py standardizes the cache read tokens on usage._cache_read_input_tokens
-        prompt_cost += cached_tokens * (
-            model_info.get("cache_read_input_token_cost", 0) or 0
-        )
+    return generic_cost_per_token(
+        model=model, usage=usage, custom_llm_provider="openai"
+    )
+    # ### Non-cached text tokens
+    # non_cached_text_tokens = usage.prompt_tokens
+    # cached_tokens: Optional[int] = None
+    # if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens:
+    #     cached_tokens = usage.prompt_tokens_details.cached_tokens
+    #     non_cached_text_tokens = non_cached_text_tokens - cached_tokens
+    # prompt_cost: float = non_cached_text_tokens * model_info["input_cost_per_token"]
+    # ## Prompt Caching cost calculation
+    # if model_info.get("cache_read_input_token_cost") is not None and cached_tokens:
+    #     # Note: We read ._cache_read_input_tokens from the Usage - since cost_calculator.py standardizes the cache read tokens on usage._cache_read_input_tokens
+    #     prompt_cost += cached_tokens * (
+    #         model_info.get("cache_read_input_token_cost", 0) or 0
+    #     )
 
-    _audio_tokens: Optional[int] = (
-        usage.prompt_tokens_details.audio_tokens
-        if usage.prompt_tokens_details is not None
-        else None
-    )
-    _audio_cost_per_token: Optional[float] = model_info.get(
-        "input_cost_per_audio_token"
-    )
-    if _audio_tokens is not None and _audio_cost_per_token is not None:
-        audio_cost: float = _audio_tokens * _audio_cost_per_token
-        prompt_cost += audio_cost
+    # _audio_tokens: Optional[int] = (
+    #     usage.prompt_tokens_details.audio_tokens
+    #     if usage.prompt_tokens_details is not None
+    #     else None
+    # )
+    # _audio_cost_per_token: Optional[float] = model_info.get(
+    #     "input_cost_per_audio_token"
+    # )
+    # if _audio_tokens is not None and _audio_cost_per_token is not None:
+    #     audio_cost: float = _audio_tokens * _audio_cost_per_token
+    #     prompt_cost += audio_cost
 
-    ## CALCULATE OUTPUT COST
-    completion_cost: float = (
-        usage["completion_tokens"] * model_info["output_cost_per_token"]
-    )
-    _output_cost_per_audio_token: Optional[float] = model_info.get(
-        "output_cost_per_audio_token"
-    )
-    _output_audio_tokens: Optional[int] = (
-        usage.completion_tokens_details.audio_tokens
-        if usage.completion_tokens_details is not None
-        else None
-    )
-    if _output_cost_per_audio_token is not None and _output_audio_tokens is not None:
-        audio_cost = _output_audio_tokens * _output_cost_per_audio_token
-        completion_cost += audio_cost
+    # ## CALCULATE OUTPUT COST
+    # completion_cost: float = (
+    #     usage["completion_tokens"] * model_info["output_cost_per_token"]
+    # )
+    # _output_cost_per_audio_token: Optional[float] = model_info.get(
+    #     "output_cost_per_audio_token"
+    # )
+    # _output_audio_tokens: Optional[int] = (
+    #     usage.completion_tokens_details.audio_tokens
+    #     if usage.completion_tokens_details is not None
+    #     else None
+    # )
+    # if _output_cost_per_audio_token is not None and _output_audio_tokens is not None:
+    #     audio_cost = _output_audio_tokens * _output_cost_per_audio_token
+    #     completion_cost += audio_cost
 
-    return prompt_cost, completion_cost
+    # return prompt_cost, completion_cost
 
 
 def cost_per_second(
diff --git a/litellm/llms/vertex_ai/cost_calculator.py b/litellm/llms/vertex_ai/cost_calculator.py
index fd23886045..54efc62589 100644
--- a/litellm/llms/vertex_ai/cost_calculator.py
+++ b/litellm/llms/vertex_ai/cost_calculator.py
@@ -4,7 +4,11 @@ from typing import Literal, Optional, Tuple, Union
 
 import litellm
 from litellm import verbose_logger
-from litellm.litellm_core_utils.llm_cost_calc.utils import _is_above_128k
+from litellm.litellm_core_utils.llm_cost_calc.utils import (
+    _is_above_128k,
+    generic_cost_per_token,
+)
+from litellm.types.utils import ModelInfo, Usage
 
 """
 Gemini pricing covers: 
@@ -20,7 +24,7 @@ Vertex AI -> character based pricing
 Google AI Studio -> token based pricing
 """
 
-models_without_dynamic_pricing = ["gemini-1.0-pro", "gemini-pro"]
+models_without_dynamic_pricing = ["gemini-1.0-pro", "gemini-pro", "gemini-2"]
 
 
 def cost_router(
@@ -46,14 +50,15 @@ def cost_router(
         call_type == "embedding" or call_type == "aembedding"
     ):
         return "cost_per_token"
+    elif custom_llm_provider == "vertex_ai" and ("gemini-2" in model):
+        return "cost_per_token"
     return "cost_per_character"
 
 
 def cost_per_character(
     model: str,
     custom_llm_provider: str,
-    prompt_tokens: float,
-    completion_tokens: float,
+    usage: Usage,
     prompt_characters: Optional[float] = None,
     completion_characters: Optional[float] = None,
 ) -> Tuple[float, float]:
@@ -86,8 +91,7 @@ def cost_per_character(
         prompt_cost, _ = cost_per_token(
             model=model,
             custom_llm_provider=custom_llm_provider,
-            prompt_tokens=prompt_tokens,
-            completion_tokens=completion_tokens,
+            usage=usage,
         )
     else:
         try:
@@ -124,8 +128,7 @@ def cost_per_character(
             prompt_cost, _ = cost_per_token(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
-                prompt_tokens=prompt_tokens,
-                completion_tokens=completion_tokens,
+                usage=usage,
             )
 
     ## CALCULATE OUTPUT COST
@@ -133,10 +136,10 @@ def cost_per_character(
         _, completion_cost = cost_per_token(
             model=model,
             custom_llm_provider=custom_llm_provider,
-            prompt_tokens=prompt_tokens,
-            completion_tokens=completion_tokens,
+            usage=usage,
         )
     else:
+        completion_tokens = usage.completion_tokens
         try:
             if (
                 _is_above_128k(tokens=completion_characters * 4)  # 1 token = 4 char
@@ -172,18 +175,54 @@ def cost_per_character(
             _, completion_cost = cost_per_token(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
-                prompt_tokens=prompt_tokens,
-                completion_tokens=completion_tokens,
+                usage=usage,
             )
 
     return prompt_cost, completion_cost
 
 
+def _handle_128k_pricing(
+    model_info: ModelInfo,
+    usage: Usage,
+) -> Tuple[float, float]:
+    ## CALCULATE INPUT COST
+    input_cost_per_token_above_128k_tokens = model_info.get(
+        "input_cost_per_token_above_128k_tokens"
+    )
+    output_cost_per_token_above_128k_tokens = model_info.get(
+        "output_cost_per_token_above_128k_tokens"
+    )
+
+    prompt_tokens = usage.prompt_tokens
+    completion_tokens = usage.completion_tokens
+
+    if (
+        _is_above_128k(tokens=prompt_tokens)
+        and input_cost_per_token_above_128k_tokens is not None
+    ):
+        prompt_cost = prompt_tokens * input_cost_per_token_above_128k_tokens
+    else:
+        prompt_cost = prompt_tokens * model_info["input_cost_per_token"]
+
+    ## CALCULATE OUTPUT COST
+    output_cost_per_token_above_128k_tokens = model_info.get(
+        "output_cost_per_token_above_128k_tokens"
+    )
+    if (
+        _is_above_128k(tokens=completion_tokens)
+        and output_cost_per_token_above_128k_tokens is not None
+    ):
+        completion_cost = completion_tokens * output_cost_per_token_above_128k_tokens
+    else:
+        completion_cost = completion_tokens * model_info["output_cost_per_token"]
+
+    return prompt_cost, completion_cost
+
+
 def cost_per_token(
     model: str,
     custom_llm_provider: str,
-    prompt_tokens: float,
-    completion_tokens: float,
+    usage: Usage,
 ) -> Tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -205,38 +244,24 @@ def cost_per_token(
         model=model, custom_llm_provider=custom_llm_provider
     )
 
-    ## CALCULATE INPUT COST
+    ## HANDLE 128k+ PRICING
+    input_cost_per_token_above_128k_tokens = model_info.get(
+        "input_cost_per_token_above_128k_tokens"
+    )
+    output_cost_per_token_above_128k_tokens = model_info.get(
+        "output_cost_per_token_above_128k_tokens"
+    )
     if (
-        _is_above_128k(tokens=prompt_tokens)
-        and model not in models_without_dynamic_pricing
+        input_cost_per_token_above_128k_tokens is not None
+        or output_cost_per_token_above_128k_tokens is not None
     ):
-        assert (
-            "input_cost_per_token_above_128k_tokens" in model_info
-            and model_info["input_cost_per_token_above_128k_tokens"] is not None
-        ), "model info for model={} does not have pricing for > 128k tokens\nmodel_info={}".format(
-            model, model_info
+        return _handle_128k_pricing(
+            model_info=model_info,
+            usage=usage,
         )
-        prompt_cost = (
-            prompt_tokens * model_info["input_cost_per_token_above_128k_tokens"]
-        )
-    else:
-        prompt_cost = prompt_tokens * model_info["input_cost_per_token"]
 
-    ## CALCULATE OUTPUT COST
-    if (
-        _is_above_128k(tokens=completion_tokens)
-        and model not in models_without_dynamic_pricing
-    ):
-        assert (
-            "output_cost_per_token_above_128k_tokens" in model_info
-            and model_info["output_cost_per_token_above_128k_tokens"] is not None
-        ), "model info for model={} does not have pricing for > 128k tokens\nmodel_info={}".format(
-            model, model_info
-        )
-        completion_cost = (
-            completion_tokens * model_info["output_cost_per_token_above_128k_tokens"]
-        )
-    else:
-        completion_cost = completion_tokens * model_info["output_cost_per_token"]
-
-    return prompt_cost, completion_cost
+    return generic_cost_per_token(
+        model=model,
+        custom_llm_provider=custom_llm_provider,
+        usage=usage,
+    )
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 2931b1b3a8..90c66f69a3 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -643,16 +643,25 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         completion_response: GenerateContentResponseBody,
     ) -> Usage:
         cached_tokens: Optional[int] = None
+        audio_tokens: Optional[int] = None
+        text_tokens: Optional[int] = None
         prompt_tokens_details: Optional[PromptTokensDetailsWrapper] = None
         if "cachedContentTokenCount" in completion_response["usageMetadata"]:
             cached_tokens = completion_response["usageMetadata"][
                 "cachedContentTokenCount"
             ]
+        if "promptTokensDetails" in completion_response["usageMetadata"]:
+            for detail in completion_response["usageMetadata"]["promptTokensDetails"]:
+                if detail["modality"] == "AUDIO":
+                    audio_tokens = detail["tokenCount"]
+                elif detail["modality"] == "TEXT":
+                    text_tokens = detail["tokenCount"]
 
-        if cached_tokens is not None:
-            prompt_tokens_details = PromptTokensDetailsWrapper(
-                cached_tokens=cached_tokens,
-            )
+        prompt_tokens_details = PromptTokensDetailsWrapper(
+            cached_tokens=cached_tokens,
+            audio_tokens=audio_tokens,
+            text_tokens=text_tokens,
+        )
         ## GET USAGE ##
         usage = Usage(
             prompt_tokens=completion_response["usageMetadata"].get(
@@ -791,6 +800,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
                     model_response.choices.append(choice)
 
             usage = self._calculate_usage(completion_response=completion_response)
+
             setattr(model_response, "usage", usage)
 
             ## ADD GROUNDING METADATA ##
diff --git a/litellm/types/llms/vertex_ai.py b/litellm/types/llms/vertex_ai.py
index 7024909a34..ed6bcdb346 100644
--- a/litellm/types/llms/vertex_ai.py
+++ b/litellm/types/llms/vertex_ai.py
@@ -179,11 +179,17 @@ class TTL(TypedDict, total=False):
     nano: float
 
 
+class PromptTokensDetails(TypedDict):
+    modality: Literal["TEXT", "AUDIO", "IMAGE", "VIDEO"]
+    tokenCount: int
+
+
 class UsageMetadata(TypedDict, total=False):
     promptTokenCount: int
     totalTokenCount: int
     candidatesTokenCount: int
     cachedContentTokenCount: int
+    promptTokensDetails: List[PromptTokensDetails]
 
 
 class CachedContent(TypedDict, total=False):
diff --git a/tests/litellm/test_cost_calculator.py b/tests/litellm/test_cost_calculator.py
index c0073e2c56..d4322f1e5e 100644
--- a/tests/litellm/test_cost_calculator.py
+++ b/tests/litellm/test_cost_calculator.py
@@ -12,7 +12,9 @@ from unittest.mock import MagicMock, patch
 
 from pydantic import BaseModel
 
+import litellm
 from litellm.cost_calculator import response_cost_calculator
+from litellm.types.utils import ModelResponse, PromptTokensDetailsWrapper, Usage
 
 
 def test_cost_calculator_with_response_cost_in_additional_headers():
@@ -32,3 +34,40 @@ def test_cost_calculator_with_response_cost_in_additional_headers():
     )
 
     assert result == 1000
+
+
+def test_cost_calculator_with_usage():
+    from litellm import get_model_info
+
+    os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+    litellm.model_cost = litellm.get_model_cost_map(url="")
+
+    usage = Usage(
+        prompt_tokens=100,
+        completion_tokens=100,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            text_tokens=10, audio_tokens=90
+        ),
+    )
+    mr = ModelResponse(usage=usage, model="gemini-2.0-flash-001")
+
+    result = response_cost_calculator(
+        response_object=mr,
+        model="",
+        custom_llm_provider="vertex_ai",
+        call_type="acompletion",
+        optional_params={},
+        cache_hit=None,
+        base_model=None,
+    )
+
+    model_info = litellm.model_cost["gemini-2.0-flash-001"]
+
+    expected_cost = (
+        usage.prompt_tokens_details.audio_tokens
+        * model_info["input_cost_per_audio_token"]
+        + usage.prompt_tokens_details.text_tokens * model_info["input_cost_per_token"]
+        + usage.completion_tokens * model_info["output_cost_per_token"]
+    )
+
+    assert result == expected_cost, f"Got {result}, Expected {expected_cost}"
diff --git a/tests/local_testing/test_completion_cost.py b/tests/local_testing/test_completion_cost.py
index d4efade9e3..0548984f45 100644
--- a/tests/local_testing/test_completion_cost.py
+++ b/tests/local_testing/test_completion_cost.py
@@ -2454,6 +2454,14 @@ def test_completion_cost_params_gemini_3():
     os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
     litellm.model_cost = litellm.get_model_cost_map(url="")
 
+    usage = Usage(
+        completion_tokens=2,
+        prompt_tokens=3771,
+        total_tokens=3773,
+        completion_tokens_details=None,
+        prompt_tokens_details=None,
+    )
+
     response = ModelResponse(
         id="chatcmpl-61043504-4439-48be-9996-e29bdee24dc3",
         choices=[
@@ -2472,13 +2480,7 @@ def test_completion_cost_params_gemini_3():
         model="gemini-1.5-flash",
         object="chat.completion",
         system_fingerprint=None,
-        usage=Usage(
-            completion_tokens=2,
-            prompt_tokens=3771,
-            total_tokens=3773,
-            completion_tokens_details=None,
-            prompt_tokens_details=None,
-        ),
+        usage=usage,
         vertex_ai_grounding_metadata=[],
         vertex_ai_safety_results=[
             [
@@ -2501,10 +2503,9 @@ def test_completion_cost_params_gemini_3():
         **{
             "model": "gemini-1.5-flash",
             "custom_llm_provider": "vertex_ai",
-            "prompt_tokens": 3771,
-            "completion_tokens": 2,
             "prompt_characters": None,
             "completion_characters": 3,
+            "usage": usage,
         }
     )
 

From 15b1a8afb0c85191c0cc2229c2b2cd8be71cabef Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 18:27:39 -0700
Subject: [PATCH 093/244] test_is_database_connection_error_prisma_errors

---
 .../proxy/auth/test_auth_exception_handler.py | 161 ++++++++++++++++++
 1 file changed, 161 insertions(+)
 create mode 100644 tests/litellm/proxy/auth/test_auth_exception_handler.py

diff --git a/tests/litellm/proxy/auth/test_auth_exception_handler.py b/tests/litellm/proxy/auth/test_auth_exception_handler.py
new file mode 100644
index 0000000000..ca0e8c88c4
--- /dev/null
+++ b/tests/litellm/proxy/auth/test_auth_exception_handler.py
@@ -0,0 +1,161 @@
+import asyncio
+import json
+import os
+import sys
+from unittest.mock import MagicMock, patch
+
+import pytest
+from fastapi import HTTPException, Request, status
+from prisma import errors as prisma_errors
+from prisma.errors import (
+    ClientNotConnectedError,
+    DataError,
+    ForeignKeyViolationError,
+    HTTPClientClosedError,
+    MissingRequiredValueError,
+    PrismaError,
+    RawQueryError,
+    RecordNotFoundError,
+    TableNotFoundError,
+    UniqueViolationError,
+)
+
+sys.path.insert(
+    0, os.path.abspath("../../..")
+)  # Adds the parent directory to the system path
+
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import ProxyErrorTypes, ProxyException
+from litellm.proxy.auth.auth_exception_handler import UserAPIKeyAuthExceptionHandler
+
+
+# Test is_database_connection_error method
+@pytest.mark.parametrize(
+    "prisma_error",
+    [
+        PrismaError(),
+        DataError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        UniqueViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        ForeignKeyViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        MissingRequiredValueError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RawQueryError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        TableNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RecordNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        HTTPClientClosedError(),
+        ClientNotConnectedError(),
+    ],
+)
+def test_is_database_connection_error_prisma_errors(prisma_error):
+    """
+    Test that all Prisma errors are considered database connection errors
+    """
+    handler = UserAPIKeyAuthExceptionHandler()
+    assert handler.is_database_connection_error(prisma_error) == True
+
+
+def test_is_database_connection_generic_errors():
+    """
+    Test non-Prisma error cases for database connection checking
+    """
+    handler = UserAPIKeyAuthExceptionHandler()
+
+    # Test with ProxyException (DB connection)
+    db_proxy_exception = ProxyException(
+        message="DB Connection Error",
+        type=ProxyErrorTypes.no_db_connection,
+        param="test-param",
+    )
+    assert handler.is_database_connection_error(db_proxy_exception) == True
+
+    # Test with non-DB error
+    regular_exception = Exception("Regular error")
+    assert handler.is_database_connection_error(regular_exception) == False
+
+
+# Test should_allow_request_on_db_unavailable method
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": True},
+)
+def test_should_allow_request_on_db_unavailable_true():
+    handler = UserAPIKeyAuthExceptionHandler()
+    assert handler.should_allow_request_on_db_unavailable() == True
+
+
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": False},
+)
+def test_should_allow_request_on_db_unavailable_false():
+    handler = UserAPIKeyAuthExceptionHandler()
+    assert handler.should_allow_request_on_db_unavailable() == False
+
+
+# Test _handle_authentication_error method
+@pytest.mark.asyncio
+async def test_handle_authentication_error_db_unavailable():
+    handler = UserAPIKeyAuthExceptionHandler()
+
+    # Mock request and other dependencies
+    mock_request = MagicMock()
+    mock_request_data = {}
+    mock_route = "/test"
+    mock_span = None
+    mock_api_key = "test-key"
+
+    # Test with DB connection error when requests are allowed
+    with patch(
+        "litellm.proxy.proxy_server.general_settings",
+        {"allow_requests_on_db_unavailable": True},
+    ):
+        db_error = prisma_errors.PrismaError()
+        result = await handler._handle_authentication_error(
+            db_error,
+            mock_request,
+            mock_request_data,
+            mock_route,
+            mock_span,
+            mock_api_key,
+        )
+        assert result.key_name == "failed-to-connect-to-db"
+        assert result.token == "failed-to-connect-to-db"
+
+
+@pytest.mark.asyncio
+async def test_handle_authentication_error_budget_exceeded():
+    handler = UserAPIKeyAuthExceptionHandler()
+
+    # Mock request and other dependencies
+    mock_request = MagicMock()
+    mock_request_data = {}
+    mock_route = "/test"
+    mock_span = None
+    mock_api_key = "test-key"
+
+    # Test with budget exceeded error
+    with pytest.raises(ProxyException) as exc_info:
+        from litellm.exceptions import BudgetExceededError
+
+        budget_error = BudgetExceededError(
+            message="Budget exceeded", current_cost=100, max_budget=100
+        )
+        await handler._handle_authentication_error(
+            budget_error,
+            mock_request,
+            mock_request_data,
+            mock_route,
+            mock_span,
+            mock_api_key,
+        )
+
+    assert exc_info.value.type == ProxyErrorTypes.budget_exceeded

From 5242c5fbabd149c8812c8152ab2e64929c4778e8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 18:28:28 -0700
Subject: [PATCH 094/244] test -  auth exception handler

---
 .../proxy/auth/test_auth_exception_handler.py | 31 ++++++++++++++++---
 1 file changed, 27 insertions(+), 4 deletions(-)

diff --git a/tests/litellm/proxy/auth/test_auth_exception_handler.py b/tests/litellm/proxy/auth/test_auth_exception_handler.py
index ca0e8c88c4..b44de86e05 100644
--- a/tests/litellm/proxy/auth/test_auth_exception_handler.py
+++ b/tests/litellm/proxy/auth/test_auth_exception_handler.py
@@ -101,9 +101,33 @@ def test_should_allow_request_on_db_unavailable_false():
     assert handler.should_allow_request_on_db_unavailable() == False
 
 
-# Test _handle_authentication_error method
 @pytest.mark.asyncio
-async def test_handle_authentication_error_db_unavailable():
+@pytest.mark.parametrize(
+    "prisma_error",
+    [
+        PrismaError(),
+        DataError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        UniqueViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        ForeignKeyViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        MissingRequiredValueError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RawQueryError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        TableNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RecordNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        HTTPClientClosedError(),
+        ClientNotConnectedError(),
+    ],
+)
+async def test_handle_authentication_error_db_unavailable(prisma_error):
     handler = UserAPIKeyAuthExceptionHandler()
 
     # Mock request and other dependencies
@@ -118,9 +142,8 @@ async def test_handle_authentication_error_db_unavailable():
         "litellm.proxy.proxy_server.general_settings",
         {"allow_requests_on_db_unavailable": True},
     ):
-        db_error = prisma_errors.PrismaError()
         result = await handler._handle_authentication_error(
-            db_error,
+            prisma_error,
             mock_request,
             mock_request_data,
             mock_route,

From 763f853a9f9f6e678d966e08df91ccec3a76009d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 18:32:58 -0700
Subject: [PATCH 095/244] docs fix

---
 docs/my-website/docs/providers/bedrock.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index 4f88fdb39b..ed65e14b8b 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -1776,6 +1776,7 @@ response = completion(
 )
 ```
 </TabItem>
+
 <TabItem value="proxy" label="PROXY">
 
 1. Setup config.yaml 
@@ -1820,11 +1821,13 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \
 ```
 
 </TabItem>
+
 </Tabs>
 
 ### SSO Login (AWS Profile)
 - Set `AWS_PROFILE` environment variable
 - Make bedrock completion call
+
 ```python
 import os
 from litellm import completion
@@ -1940,9 +1943,6 @@ curl -L -X POST 'http://0.0.0.0:4000/v1/images/generations' \
     "colorGuidedGenerationParams":{"colors":["#FFFFFF"]}
 }'
 ```
-</TabItem>
-</Tabs>
-
 
 | Model Name              | Function Call                               |
 |-------------------------|---------------------------------------------|

From 485aa87e6505e3749d0a15a0c335233af5c02136 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 18:48:18 -0700
Subject: [PATCH 096/244] allow_requests_on_db_unavailable

---
 docs/my-website/docs/proxy/config_settings.md |   2 +-
 docs/my-website/docs/proxy/prod.md            | 110 +++---------------
 2 files changed, 18 insertions(+), 94 deletions(-)

diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md
index 0093464d93..4a62184df7 100644
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@@ -160,7 +160,7 @@ general_settings:
 | database_url | string | The URL for the database connection [Set up Virtual Keys](virtual_keys) |
 | database_connection_pool_limit | integer | The limit for database connection pool [Setting DB Connection Pool limit](#configure-db-pool-limits--connection-timeouts) |
 | database_connection_timeout | integer | The timeout for database connections in seconds [Setting DB Connection Pool limit, timeout](#configure-db-pool-limits--connection-timeouts) |
-| allow_requests_on_db_unavailable | boolean | If true, allows requests to succeed even if DB is unreachable. **Only use this if running LiteLLM in your VPC** This will allow requests to work even when LiteLLM cannot connect to the DB to verify a Virtual Key |
+| allow_requests_on_db_unavailable | boolean | If true, allows requests to succeed even if DB is unreachable. **Only use this if running LiteLLM in your VPC** This will allow requests to work even when LiteLLM cannot connect to the DB to verify a Virtual Key [Doc on graceful db unavailability](prod#5-if-running-litellm-on-vpc-gracefully-handle-db-unavailability) |
 | custom_auth | string | Write your own custom authentication logic [Doc Custom Auth](virtual_keys#custom-auth) |
 | max_parallel_requests | integer | The max parallel requests allowed per deployment |
 | global_max_parallel_requests | integer | The max parallel requests allowed on the proxy overall |
diff --git a/docs/my-website/docs/proxy/prod.md b/docs/my-website/docs/proxy/prod.md
index d3ba2d6224..314300f2a0 100644
--- a/docs/my-website/docs/proxy/prod.md
+++ b/docs/my-website/docs/proxy/prod.md
@@ -94,15 +94,29 @@ This disables the load_dotenv() functionality, which will automatically load you
 
 ## 5. If running LiteLLM on VPC, gracefully handle DB unavailability
 
-This will allow LiteLLM to continue to process requests even if the DB is unavailable. This is better handling for DB unavailability.
+When running LiteLLM on a VPC (and inaccessible from the public internet), you can enable graceful degradation so that request processing continues even if the database is temporarily unavailable.
+
 
 **WARNING: Only do this if you're running LiteLLM on VPC, that cannot be accessed from the public internet.**
 
-```yaml
+#### Configuration
+
+```yaml showLineNumbers title="litellm config.yaml"
 general_settings:
   allow_requests_on_db_unavailable: True
 ```
 
+#### Expected Behavior
+
+When `allow_requests_on_db_unavailable` is set to `true`, LiteLLM will handle errors as follows:
+
+| Type of Error | Expected Behavior | Details |
+|---------------|-------------------|----------------|
+| Prisma Errors | ✅ Request will be allowed | Covers issues like DB connection resets or rejections from the DB via Prisma, the ORM used by LiteLLM. |
+| Httpx Errors | ✅ Request will be allowed | Occurs when the database is unreachable, allowing the request to proceed despite the DB outage. |
+| LiteLLM Budget Errors or Model Errors | ❌ Request will be blocked | Triggered when the DB is reachable but the authentication token is invalid, lacks access, or exceeds budget limits. |
+
+
 ## 6. Disable spend_logs & error_logs if not using the LiteLLM UI
 
 By default, LiteLLM writes several types of logs to the database:
@@ -182,94 +196,4 @@ You should only see the following level of details in logs on the proxy server
 # INFO:     192.168.2.205:11774 - "POST /chat/completions HTTP/1.1" 200 OK
 # INFO:     192.168.2.205:34717 - "POST /chat/completions HTTP/1.1" 200 OK
 # INFO:     192.168.2.205:29734 - "POST /chat/completions HTTP/1.1" 200 OK
-```
-
-
-### Machine Specifications to Deploy LiteLLM
-
-| Service | Spec | CPUs | Memory | Architecture | Version|
-| --- | --- | --- | --- | --- | --- | 
-| Server | `t2.small`. | `1vCPUs` | `8GB` | `x86` |
-| Redis Cache | - | - | - | - | 7.0+ Redis Engine|
-
-
-### Reference Kubernetes Deployment YAML
-
-Reference Kubernetes `deployment.yaml` that was load tested by us
-
-```yaml
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: litellm-deployment
-spec:
-  replicas: 3
-  selector:
-    matchLabels:
-      app: litellm
-  template:
-    metadata:
-      labels:
-        app: litellm
-    spec:
-      containers:
-        - name: litellm-container
-          image: ghcr.io/berriai/litellm:main-latest
-          imagePullPolicy: Always
-          env:
-            - name: AZURE_API_KEY
-              value: "d6******"
-            - name: AZURE_API_BASE
-              value: "https://ope******"
-            - name: LITELLM_MASTER_KEY
-              value: "sk-1234"
-            - name: DATABASE_URL
-              value: "po**********"
-          args:
-            - "--config"
-            - "/app/proxy_config.yaml"  # Update the path to mount the config file
-          volumeMounts:                 # Define volume mount for proxy_config.yaml
-            - name: config-volume
-              mountPath: /app
-              readOnly: true
-          livenessProbe:
-            httpGet:
-              path: /health/liveliness
-              port: 4000
-            initialDelaySeconds: 120
-            periodSeconds: 15
-            successThreshold: 1
-            failureThreshold: 3
-            timeoutSeconds: 10
-          readinessProbe:
-            httpGet:
-              path: /health/readiness
-              port: 4000
-            initialDelaySeconds: 120
-            periodSeconds: 15
-            successThreshold: 1
-            failureThreshold: 3
-            timeoutSeconds: 10
-      volumes:  # Define volume to mount proxy_config.yaml
-        - name: config-volume
-          configMap:
-            name: litellm-config  
-
-```
-
-
-Reference Kubernetes `service.yaml` that was load tested by us
-```yaml
-apiVersion: v1
-kind: Service
-metadata:
-  name: litellm-service
-spec:
-  selector:
-    app: litellm
-  ports:
-    - protocol: TCP
-      port: 4000
-      targetPort: 4000
-  type: LoadBalancer
-```
+```
\ No newline at end of file

From 7142b0b61060292b5a353da65eb95185d281fb4d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 19:22:24 -0700
Subject: [PATCH 097/244] refactor PrismaDBExceptionHandler

---
 litellm/proxy/auth/auth_exception_handler.py | 38 +++-----------------
 litellm/proxy/db/exception_handler.py        | 37 +++++++++++++++++++
 2 files changed, 41 insertions(+), 34 deletions(-)
 create mode 100644 litellm/proxy/db/exception_handler.py

diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py
index c1a546b569..05797381c6 100644
--- a/litellm/proxy/auth/auth_exception_handler.py
+++ b/litellm/proxy/auth/auth_exception_handler.py
@@ -9,13 +9,9 @@ from fastapi import HTTPException, Request, status
 
 import litellm
 from litellm._logging import verbose_proxy_logger
-from litellm.proxy._types import (
-    DB_CONNECTION_ERROR_TYPES,
-    ProxyErrorTypes,
-    ProxyException,
-    UserAPIKeyAuth,
-)
+from litellm.proxy._types import ProxyErrorTypes, ProxyException, UserAPIKeyAuth
 from litellm.proxy.auth.auth_utils import _get_request_ip_address
+from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler
 from litellm.types.services import ServiceTypes
 
 if TYPE_CHECKING:
@@ -58,8 +54,8 @@ class UserAPIKeyAuthExceptionHandler:
         )
 
         if (
-            UserAPIKeyAuthExceptionHandler.should_allow_request_on_db_unavailable()
-            and UserAPIKeyAuthExceptionHandler.is_database_connection_error(e)
+            PrismaDBExceptionHandler.should_allow_request_on_db_unavailable()
+            and PrismaDBExceptionHandler.is_database_connection_error(e)
         ):
             # log this as a DB failure on prometheus
             proxy_logging_obj.service_logging_obj.service_failure_hook(
@@ -125,29 +121,3 @@ class UserAPIKeyAuthExceptionHandler:
                 param=getattr(e, "param", "None"),
                 code=status.HTTP_401_UNAUTHORIZED,
             )
-
-    @staticmethod
-    def should_allow_request_on_db_unavailable() -> bool:
-        """
-        Returns True if the request should be allowed to proceed despite the DB connection error
-        """
-        from litellm.proxy.proxy_server import general_settings
-
-        if general_settings.get("allow_requests_on_db_unavailable", False) is True:
-            return True
-        return False
-
-    @staticmethod
-    def is_database_connection_error(e: Exception) -> bool:
-        """
-        Returns True if the exception is from a database outage / connection error
-        """
-        import prisma
-
-        if isinstance(e, DB_CONNECTION_ERROR_TYPES):
-            return True
-        if isinstance(e, prisma.errors.PrismaError):
-            return True
-        if isinstance(e, ProxyException) and e.type == ProxyErrorTypes.no_db_connection:
-            return True
-        return False
diff --git a/litellm/proxy/db/exception_handler.py b/litellm/proxy/db/exception_handler.py
new file mode 100644
index 0000000000..315811103d
--- /dev/null
+++ b/litellm/proxy/db/exception_handler.py
@@ -0,0 +1,37 @@
+from litellm.proxy._types import (
+    DB_CONNECTION_ERROR_TYPES,
+    ProxyErrorTypes,
+    ProxyException,
+)
+
+
+class PrismaDBExceptionHandler:
+    """
+    Class to handle DB Exceptions or Connection Errors
+    """
+
+    @staticmethod
+    def should_allow_request_on_db_unavailable() -> bool:
+        """
+        Returns True if the request should be allowed to proceed despite the DB connection error
+        """
+        from litellm.proxy.proxy_server import general_settings
+
+        if general_settings.get("allow_requests_on_db_unavailable", False) is True:
+            return True
+        return False
+
+    @staticmethod
+    def is_database_connection_error(e: Exception) -> bool:
+        """
+        Returns True if the exception is from a database outage / connection error
+        """
+        import prisma
+
+        if isinstance(e, DB_CONNECTION_ERROR_TYPES):
+            return True
+        if isinstance(e, prisma.errors.PrismaError):
+            return True
+        if isinstance(e, ProxyException) and e.type == ProxyErrorTypes.no_db_connection:
+            return True
+        return False

From 497570b2a6e26905d7a7564dbb6bf92b6fc0b343 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 19:49:51 -0700
Subject: [PATCH 098/244] bug fix - allow pods to startup when DB is
 unavailable

---
 litellm/proxy/db/exception_handler.py | 26 +++++++++++++++++++++++++-
 1 file changed, 25 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/db/exception_handler.py b/litellm/proxy/db/exception_handler.py
index 315811103d..db73f9e9c9 100644
--- a/litellm/proxy/db/exception_handler.py
+++ b/litellm/proxy/db/exception_handler.py
@@ -1,8 +1,11 @@
+from typing import Union
+
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     ProxyErrorTypes,
     ProxyException,
 )
+from litellm.secret_managers.main import str_to_bool
 
 
 class PrismaDBExceptionHandler:
@@ -17,7 +20,12 @@ class PrismaDBExceptionHandler:
         """
         from litellm.proxy.proxy_server import general_settings
 
-        if general_settings.get("allow_requests_on_db_unavailable", False) is True:
+        _allow_requests_on_db_unavailable: Union[bool, str] = general_settings.get(
+            "allow_requests_on_db_unavailable", False
+        )
+        if isinstance(_allow_requests_on_db_unavailable, bool):
+            return _allow_requests_on_db_unavailable
+        if str_to_bool(_allow_requests_on_db_unavailable) is True:
             return True
         return False
 
@@ -35,3 +43,19 @@ class PrismaDBExceptionHandler:
         if isinstance(e, ProxyException) and e.type == ProxyErrorTypes.no_db_connection:
             return True
         return False
+
+    @staticmethod
+    def handle_db_exception(e: Exception):
+        """
+        Primary handler for `allow_requests_on_db_unavailable` flag. Decides whether to raise a DB Exception or not based on the flag.
+
+        - If exception is a DB Connection Error, and `allow_requests_on_db_unavailable` is True,
+            - Do not raise an exception, return None
+        - Else, raise the exception
+        """
+        if (
+            PrismaDBExceptionHandler.is_database_connection_error(e)
+            and PrismaDBExceptionHandler.should_allow_request_on_db_unavailable()
+        ):
+            return None
+        raise e

From 88ef97b9d1d9b2ecad5b9258ff980930ff694033 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 19:50:57 -0700
Subject: [PATCH 099/244] allow proxy to startup on DB unavailable

---
 .../health_endpoints/_health_endpoints.py     | 24 ++++---
 litellm/proxy/proxy_server.py                 | 68 ++++++++++---------
 2 files changed, 50 insertions(+), 42 deletions(-)

diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py
index 34e7d34bbf..9de845397a 100644
--- a/litellm/proxy/health_endpoints/_health_endpoints.py
+++ b/litellm/proxy/health_endpoints/_health_endpoints.py
@@ -20,6 +20,7 @@ from litellm.proxy._types import (
     WebhookEvent,
 )
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler
 from litellm.proxy.health_check import (
     _clean_endpoint_data,
     _update_litellm_params_for_health_check,
@@ -381,20 +382,23 @@ async def _db_health_readiness_check():
     global db_health_cache
 
     # Note - Intentionally don't try/except this so it raises an exception when it fails
+    try:
+        # if timedelta is less than 2 minutes return DB Status
+        time_diff = datetime.now() - db_health_cache["last_updated"]
+        if db_health_cache["status"] != "unknown" and time_diff < timedelta(minutes=2):
+            return db_health_cache
 
-    # if timedelta is less than 2 minutes return DB Status
-    time_diff = datetime.now() - db_health_cache["last_updated"]
-    if db_health_cache["status"] != "unknown" and time_diff < timedelta(minutes=2):
+        if prisma_client is None:
+            db_health_cache = {"status": "disconnected", "last_updated": datetime.now()}
+            return db_health_cache
+
+        await prisma_client.health_check()
+        db_health_cache = {"status": "connected", "last_updated": datetime.now()}
         return db_health_cache
-
-    if prisma_client is None:
-        db_health_cache = {"status": "disconnected", "last_updated": datetime.now()}
+    except Exception as e:
+        PrismaDBExceptionHandler.handle_db_exception(e)
         return db_health_cache
 
-    await prisma_client.health_check()
-    db_health_cache = {"status": "connected", "last_updated": datetime.now()}
-    return db_health_cache
-
 
 @router.get(
     "/settings",
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index eefc0bdd06..0e04e9f213 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -176,6 +176,7 @@ from litellm.proxy.common_utils.proxy_state import ProxyState
 from litellm.proxy.common_utils.reset_budget_job import ResetBudgetJob
 from litellm.proxy.common_utils.swagger_utils import ERROR_RESPONSES
 from litellm.proxy.credential_endpoints.endpoints import router as credential_router
+from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler
 from litellm.proxy.fine_tuning_endpoints.endpoints import router as fine_tuning_router
 from litellm.proxy.fine_tuning_endpoints.endpoints import set_fine_tuning_config
 from litellm.proxy.guardrails.guardrail_endpoints import router as guardrails_router
@@ -456,15 +457,6 @@ async def proxy_startup_event(app: FastAPI):
     ### LOAD MASTER KEY ###
     # check if master key set in environment - load from there
     master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
-    # check if DATABASE_URL in environment - load from there
-    if prisma_client is None:
-        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
-        prisma_client = await ProxyStartupEvent._setup_prisma_client(
-            database_url=_db_url,
-            proxy_logging_obj=proxy_logging_obj,
-            user_api_key_cache=user_api_key_cache,
-        )
-
     ## CHECK PREMIUM USER
     verbose_proxy_logger.debug(
         "litellm.proxy.proxy_server.py::startup() - CHECKING PREMIUM USER - {}".format(
@@ -527,6 +519,15 @@ async def proxy_startup_event(app: FastAPI):
         redis_usage_cache=redis_usage_cache,
     )
 
+    # check if DATABASE_URL in environment - load from there
+    if prisma_client is None:
+        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
+        prisma_client = await ProxyStartupEvent._setup_prisma_client(
+            database_url=_db_url,
+            proxy_logging_obj=proxy_logging_obj,
+            user_api_key_cache=user_api_key_cache,
+        )
+
     ## JWT AUTH ##
     ProxyStartupEvent._initialize_jwt_auth(
         general_settings=general_settings,
@@ -3362,33 +3363,36 @@ class ProxyStartupEvent:
         - Sets up prisma client
         - Adds necessary views to proxy
         """
-        prisma_client: Optional[PrismaClient] = None
-        if database_url is not None:
-            try:
-                prisma_client = PrismaClient(
-                    database_url=database_url, proxy_logging_obj=proxy_logging_obj
-                )
-            except Exception as e:
-                raise e
+        try:
+            prisma_client: Optional[PrismaClient] = None
+            if database_url is not None:
+                try:
+                    prisma_client = PrismaClient(
+                        database_url=database_url, proxy_logging_obj=proxy_logging_obj
+                    )
+                except Exception as e:
+                    raise e
 
-            await prisma_client.connect()
+                await prisma_client.connect()
 
-            ## Add necessary views to proxy ##
-            asyncio.create_task(
-                prisma_client.check_view_exists()
-            )  # check if all necessary views exist. Don't block execution
+                ## Add necessary views to proxy ##
+                asyncio.create_task(
+                    prisma_client.check_view_exists()
+                )  # check if all necessary views exist. Don't block execution
 
-            asyncio.create_task(
-                prisma_client._set_spend_logs_row_count_in_proxy_state()
-            )  # set the spend logs row count in proxy state. Don't block execution
+                asyncio.create_task(
+                    prisma_client._set_spend_logs_row_count_in_proxy_state()
+                )  # set the spend logs row count in proxy state. Don't block execution
 
-            # run a health check to ensure the DB is ready
-            if (
-                get_secret_bool("DISABLE_PRISMA_HEALTH_CHECK_ON_STARTUP", False)
-                is not True
-            ):
-                await prisma_client.health_check()
-        return prisma_client
+                # run a health check to ensure the DB is ready
+                if (
+                    get_secret_bool("DISABLE_PRISMA_HEALTH_CHECK_ON_STARTUP", False)
+                    is not True
+                ):
+                    await prisma_client.health_check()
+            return prisma_client
+        except Exception as e:
+            PrismaDBExceptionHandler.handle_db_exception(e)
 
     @classmethod
     def _init_dd_tracer(cls):

From 15c04da73599316e4fa929787fd272fed49b5cda Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 20:00:10 -0700
Subject: [PATCH 100/244] refactor tests

---
 litellm/proxy/proxy_server.py                 |   1 +
 .../proxy/auth/test_auth_exception_handler.py |  72 ------------
 .../proxy/db/test_exception_handler.py        | 109 ++++++++++++++++++
 3 files changed, 110 insertions(+), 72 deletions(-)
 create mode 100644 tests/litellm/proxy/db/test_exception_handler.py

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 0e04e9f213..59b4bc8fe3 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -3393,6 +3393,7 @@ class ProxyStartupEvent:
             return prisma_client
         except Exception as e:
             PrismaDBExceptionHandler.handle_db_exception(e)
+            return None
 
     @classmethod
     def _init_dd_tracer(cls):
diff --git a/tests/litellm/proxy/auth/test_auth_exception_handler.py b/tests/litellm/proxy/auth/test_auth_exception_handler.py
index b44de86e05..224bf24b57 100644
--- a/tests/litellm/proxy/auth/test_auth_exception_handler.py
+++ b/tests/litellm/proxy/auth/test_auth_exception_handler.py
@@ -29,78 +29,6 @@ from litellm.proxy._types import ProxyErrorTypes, ProxyException
 from litellm.proxy.auth.auth_exception_handler import UserAPIKeyAuthExceptionHandler
 
 
-# Test is_database_connection_error method
-@pytest.mark.parametrize(
-    "prisma_error",
-    [
-        PrismaError(),
-        DataError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
-        UniqueViolationError(
-            data={"user_facing_error": {"meta": {"table": "test_table"}}}
-        ),
-        ForeignKeyViolationError(
-            data={"user_facing_error": {"meta": {"table": "test_table"}}}
-        ),
-        MissingRequiredValueError(
-            data={"user_facing_error": {"meta": {"table": "test_table"}}}
-        ),
-        RawQueryError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
-        TableNotFoundError(
-            data={"user_facing_error": {"meta": {"table": "test_table"}}}
-        ),
-        RecordNotFoundError(
-            data={"user_facing_error": {"meta": {"table": "test_table"}}}
-        ),
-        HTTPClientClosedError(),
-        ClientNotConnectedError(),
-    ],
-)
-def test_is_database_connection_error_prisma_errors(prisma_error):
-    """
-    Test that all Prisma errors are considered database connection errors
-    """
-    handler = UserAPIKeyAuthExceptionHandler()
-    assert handler.is_database_connection_error(prisma_error) == True
-
-
-def test_is_database_connection_generic_errors():
-    """
-    Test non-Prisma error cases for database connection checking
-    """
-    handler = UserAPIKeyAuthExceptionHandler()
-
-    # Test with ProxyException (DB connection)
-    db_proxy_exception = ProxyException(
-        message="DB Connection Error",
-        type=ProxyErrorTypes.no_db_connection,
-        param="test-param",
-    )
-    assert handler.is_database_connection_error(db_proxy_exception) == True
-
-    # Test with non-DB error
-    regular_exception = Exception("Regular error")
-    assert handler.is_database_connection_error(regular_exception) == False
-
-
-# Test should_allow_request_on_db_unavailable method
-@patch(
-    "litellm.proxy.proxy_server.general_settings",
-    {"allow_requests_on_db_unavailable": True},
-)
-def test_should_allow_request_on_db_unavailable_true():
-    handler = UserAPIKeyAuthExceptionHandler()
-    assert handler.should_allow_request_on_db_unavailable() == True
-
-
-@patch(
-    "litellm.proxy.proxy_server.general_settings",
-    {"allow_requests_on_db_unavailable": False},
-)
-def test_should_allow_request_on_db_unavailable_false():
-    handler = UserAPIKeyAuthExceptionHandler()
-    assert handler.should_allow_request_on_db_unavailable() == False
-
-
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
     "prisma_error",
diff --git a/tests/litellm/proxy/db/test_exception_handler.py b/tests/litellm/proxy/db/test_exception_handler.py
new file mode 100644
index 0000000000..04f17ff19b
--- /dev/null
+++ b/tests/litellm/proxy/db/test_exception_handler.py
@@ -0,0 +1,109 @@
+import asyncio
+import json
+import os
+import sys
+from unittest.mock import MagicMock, patch
+
+import pytest
+from fastapi import HTTPException, Request, status
+from prisma import errors as prisma_errors
+from prisma.errors import (
+    ClientNotConnectedError,
+    DataError,
+    ForeignKeyViolationError,
+    HTTPClientClosedError,
+    MissingRequiredValueError,
+    PrismaError,
+    RawQueryError,
+    RecordNotFoundError,
+    TableNotFoundError,
+    UniqueViolationError,
+)
+
+sys.path.insert(
+    0, os.path.abspath("../../..")
+)  # Adds the parent directory to the system path
+
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import ProxyErrorTypes, ProxyException
+from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler
+
+
+# Test is_database_connection_error method
+@pytest.mark.parametrize(
+    "prisma_error",
+    [
+        PrismaError(),
+        DataError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        UniqueViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        ForeignKeyViolationError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        MissingRequiredValueError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RawQueryError(data={"user_facing_error": {"meta": {"table": "test_table"}}}),
+        TableNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        RecordNotFoundError(
+            data={"user_facing_error": {"meta": {"table": "test_table"}}}
+        ),
+        HTTPClientClosedError(),
+        ClientNotConnectedError(),
+    ],
+)
+def test_is_database_connection_error_prisma_errors(prisma_error):
+    """
+    Test that all Prisma errors are considered database connection errors
+    """
+    assert PrismaDBExceptionHandler.is_database_connection_error(prisma_error) == True
+
+
+def test_is_database_connection_generic_errors():
+    """
+    Test non-Prisma error cases for database connection checking
+    """
+    assert (
+        PrismaDBExceptionHandler.is_database_connection_error(
+            Exception("Regular error")
+        )
+        == False
+    )
+
+    # Test with ProxyException (DB connection)
+    db_proxy_exception = ProxyException(
+        message="DB Connection Error",
+        type=ProxyErrorTypes.no_db_connection,
+        param="test-param",
+    )
+    assert (
+        PrismaDBExceptionHandler.is_database_connection_error(db_proxy_exception)
+        == True
+    )
+
+    # Test with non-DB error
+    regular_exception = Exception("Regular error")
+    assert (
+        PrismaDBExceptionHandler.is_database_connection_error(regular_exception)
+        == False
+    )
+
+
+# Test should_allow_request_on_db_unavailable method
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": True},
+)
+def test_should_allow_request_on_db_unavailable_true():
+    assert PrismaDBExceptionHandler.should_allow_request_on_db_unavailable() == True
+
+
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": False},
+)
+def test_should_allow_request_on_db_unavailable_false():
+    assert PrismaDBExceptionHandler.should_allow_request_on_db_unavailable() == False

From 427580eff512fbdafec90157d443c4d1de63332d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 20:35:27 -0700
Subject: [PATCH 101/244] fix _setup_prisma_client

---
 litellm/proxy/db/exception_handler.py |  5 +++--
 litellm/proxy/proxy_server.py         | 17 ++++++++---------
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/litellm/proxy/db/exception_handler.py b/litellm/proxy/db/exception_handler.py
index db73f9e9c9..79229f1e1b 100644
--- a/litellm/proxy/db/exception_handler.py
+++ b/litellm/proxy/db/exception_handler.py
@@ -18,9 +18,10 @@ class PrismaDBExceptionHandler:
         """
         Returns True if the request should be allowed to proceed despite the DB connection error
         """
-        from litellm.proxy.proxy_server import general_settings
+        from litellm.proxy.proxy_server import proxy_config
 
-        _allow_requests_on_db_unavailable: Union[bool, str] = general_settings.get(
+        _general_settings = proxy_config.config
+        _allow_requests_on_db_unavailable: Union[bool, str] = _general_settings.get(
             "allow_requests_on_db_unavailable", False
         )
         if isinstance(_allow_requests_on_db_unavailable, bool):
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 59b4bc8fe3..67d88b9d32 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -457,6 +457,14 @@ async def proxy_startup_event(app: FastAPI):
     ### LOAD MASTER KEY ###
     # check if master key set in environment - load from there
     master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
+    # check if DATABASE_URL in environment - load from there
+    if prisma_client is None:
+        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
+        prisma_client = await ProxyStartupEvent._setup_prisma_client(
+            database_url=_db_url,
+            proxy_logging_obj=proxy_logging_obj,
+            user_api_key_cache=user_api_key_cache,
+        )
     ## CHECK PREMIUM USER
     verbose_proxy_logger.debug(
         "litellm.proxy.proxy_server.py::startup() - CHECKING PREMIUM USER - {}".format(
@@ -519,15 +527,6 @@ async def proxy_startup_event(app: FastAPI):
         redis_usage_cache=redis_usage_cache,
     )
 
-    # check if DATABASE_URL in environment - load from there
-    if prisma_client is None:
-        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
-        prisma_client = await ProxyStartupEvent._setup_prisma_client(
-            database_url=_db_url,
-            proxy_logging_obj=proxy_logging_obj,
-            user_api_key_cache=user_api_key_cache,
-        )
-
     ## JWT AUTH ##
     ProxyStartupEvent._initialize_jwt_auth(
         general_settings=general_settings,

From 34e58be36dcf16d7d139b0b51601f6be18df0a24 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 20:42:01 -0700
Subject: [PATCH 102/244] fix order of _setup_prisma_client

---
 litellm/proxy/db/exception_handler.py |  5 ++---
 litellm/proxy/proxy_server.py         | 23 ++++++++++++-----------
 2 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/litellm/proxy/db/exception_handler.py b/litellm/proxy/db/exception_handler.py
index 79229f1e1b..db73f9e9c9 100644
--- a/litellm/proxy/db/exception_handler.py
+++ b/litellm/proxy/db/exception_handler.py
@@ -18,10 +18,9 @@ class PrismaDBExceptionHandler:
         """
         Returns True if the request should be allowed to proceed despite the DB connection error
         """
-        from litellm.proxy.proxy_server import proxy_config
+        from litellm.proxy.proxy_server import general_settings
 
-        _general_settings = proxy_config.config
-        _allow_requests_on_db_unavailable: Union[bool, str] = _general_settings.get(
+        _allow_requests_on_db_unavailable: Union[bool, str] = general_settings.get(
             "allow_requests_on_db_unavailable", False
         )
         if isinstance(_allow_requests_on_db_unavailable, bool):
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 67d88b9d32..c2044ac1d6 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -454,17 +454,6 @@ async def proxy_startup_event(app: FastAPI):
     import json
 
     init_verbose_loggers()
-    ### LOAD MASTER KEY ###
-    # check if master key set in environment - load from there
-    master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
-    # check if DATABASE_URL in environment - load from there
-    if prisma_client is None:
-        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
-        prisma_client = await ProxyStartupEvent._setup_prisma_client(
-            database_url=_db_url,
-            proxy_logging_obj=proxy_logging_obj,
-            user_api_key_cache=user_api_key_cache,
-        )
     ## CHECK PREMIUM USER
     verbose_proxy_logger.debug(
         "litellm.proxy.proxy_server.py::startup() - CHECKING PREMIUM USER - {}".format(
@@ -521,6 +510,18 @@ async def proxy_startup_event(app: FastAPI):
             if isinstance(worker_config, dict):
                 await initialize(**worker_config)
 
+    ### LOAD MASTER KEY ###
+    # check if master key set in environment - load from there
+    master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
+    # check if DATABASE_URL in environment - load from there
+    if prisma_client is None:
+        _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
+        prisma_client = await ProxyStartupEvent._setup_prisma_client(
+            database_url=_db_url,
+            proxy_logging_obj=proxy_logging_obj,
+            user_api_key_cache=user_api_key_cache,
+        )
+
     ProxyStartupEvent._initialize_startup_logging(
         llm_router=llm_router,
         proxy_logging_obj=proxy_logging_obj,

From 87f0201f8400bee3550e1c82befccfc637fc4436 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 20:44:25 -0700
Subject: [PATCH 103/244] test_handle_db_exception_with_connection_error

---
 .../proxy/db/test_exception_handler.py        | 39 +++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/tests/litellm/proxy/db/test_exception_handler.py b/tests/litellm/proxy/db/test_exception_handler.py
index 04f17ff19b..e68c9b6a99 100644
--- a/tests/litellm/proxy/db/test_exception_handler.py
+++ b/tests/litellm/proxy/db/test_exception_handler.py
@@ -24,6 +24,7 @@ sys.path.insert(
     0, os.path.abspath("../../..")
 )  # Adds the parent directory to the system path
 
+import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import ProxyErrorTypes, ProxyException
 from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler
@@ -107,3 +108,41 @@ def test_should_allow_request_on_db_unavailable_true():
 )
 def test_should_allow_request_on_db_unavailable_false():
     assert PrismaDBExceptionHandler.should_allow_request_on_db_unavailable() == False
+
+
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": True},
+)
+def test_handle_db_exception_with_connection_error():
+    """
+    Test that DB connection errors are handled gracefully when allow_requests_on_db_unavailable is True
+    """
+    db_error = ClientNotConnectedError()
+    result = PrismaDBExceptionHandler.handle_db_exception(db_error)
+    assert result is None
+
+
+@patch(
+    "litellm.proxy.proxy_server.general_settings",
+    {"allow_requests_on_db_unavailable": False},
+)
+def test_handle_db_exception_raises_error():
+    """
+    Test that DB connection errors are raised when allow_requests_on_db_unavailable is False
+    """
+    db_error = ClientNotConnectedError()
+    with pytest.raises(ClientNotConnectedError):
+        PrismaDBExceptionHandler.handle_db_exception(db_error)
+
+
+def test_handle_db_exception_with_non_db_error():
+    """
+    Test that non-DB errors are always raised regardless of allow_requests_on_db_unavailable setting
+    """
+    regular_error = litellm.BudgetExceededError(
+        current_cost=10,
+        max_budget=10,
+    )
+    with pytest.raises(litellm.BudgetExceededError):
+        PrismaDBExceptionHandler.handle_db_exception(regular_error)

From b6506f7bda5bb2935c97e6ca2b75e306f2c7111f Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 20:56:39 -0700
Subject: [PATCH 104/244] test_db_health_readiness_check_with_prisma_error

---
 .../health_endpoints/test_health_endpoints.py | 101 ++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 tests/litellm/proxy/health_endpoints/test_health_endpoints.py

diff --git a/tests/litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/litellm/proxy/health_endpoints/test_health_endpoints.py
new file mode 100644
index 0000000000..e2dd429357
--- /dev/null
+++ b/tests/litellm/proxy/health_endpoints/test_health_endpoints.py
@@ -0,0 +1,101 @@
+import asyncio
+import json
+import os
+import sys
+from datetime import datetime, timedelta
+from unittest.mock import MagicMock, patch
+
+sys.path.insert(
+    0, os.path.abspath("../../..")
+)  # Adds the parent directory to the system path
+
+import pytest
+from prisma.errors import ClientNotConnectedError, HTTPClientClosedError, PrismaError
+
+from litellm.proxy._types import ProxyErrorTypes, ProxyException
+from litellm.proxy.health_endpoints._health_endpoints import (
+    _db_health_readiness_check,
+    db_health_cache,
+)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "prisma_error",
+    [
+        PrismaError(),
+        ClientNotConnectedError(),
+        HTTPClientClosedError(),
+    ],
+)
+async def test_db_health_readiness_check_with_prisma_error(prisma_error):
+    """
+    Test that when prisma_client.health_check() raises a PrismaError and
+    allow_requests_on_db_unavailable is True, the function should not raise an error
+    and return the cached health status.
+    """
+    # Mock the prisma client
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.health_check.side_effect = prisma_error
+
+    # Reset the health cache to a known state
+    global db_health_cache
+    db_health_cache = {
+        "status": "unknown",
+        "last_updated": datetime.now() - timedelta(minutes=5),
+    }
+
+    # Patch the imports and general_settings
+    with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch(
+        "litellm.proxy.proxy_server.general_settings",
+        {"allow_requests_on_db_unavailable": True},
+    ):
+
+        # Call the function
+        result = await _db_health_readiness_check()
+
+        # Verify that the function called health_check
+        mock_prisma_client.health_check.assert_called_once()
+
+        # Verify that the function returned the cache
+        assert result is not None
+        assert result["status"] == "unknown"  # Should retain the status from the cache
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "prisma_error",
+    [
+        PrismaError(),
+        ClientNotConnectedError(),
+        HTTPClientClosedError(),
+    ],
+)
+async def test_db_health_readiness_check_with_error_and_flag_off(prisma_error):
+    """
+    Test that when prisma_client.health_check() raises a DB error but
+    allow_requests_on_db_unavailable is False, the exception should be raised.
+    """
+    # Mock the prisma client
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.health_check.side_effect = prisma_error
+
+    # Reset the health cache
+    global db_health_cache
+    db_health_cache = {
+        "status": "unknown",
+        "last_updated": datetime.now() - timedelta(minutes=5),
+    }
+
+    # Patch the imports and general_settings where the flag is False
+    with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch(
+        "litellm.proxy.proxy_server.general_settings",
+        {"allow_requests_on_db_unavailable": False},
+    ):
+
+        # The function should raise the exception
+        with pytest.raises(Exception) as excinfo:
+            await _db_health_readiness_check()
+
+        # Verify that the raised exception is the same
+        assert excinfo.value == prisma_error

From 05c38049feebd8cc113a361b3834331910dcb6d8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 26 Mar 2025 21:04:36 -0700
Subject: [PATCH 105/244] docs prod.md

---
 docs/my-website/docs/proxy/prod.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/my-website/docs/proxy/prod.md b/docs/my-website/docs/proxy/prod.md
index 314300f2a0..1c1cbeedb4 100644
--- a/docs/my-website/docs/proxy/prod.md
+++ b/docs/my-website/docs/proxy/prod.md
@@ -114,6 +114,8 @@ When `allow_requests_on_db_unavailable` is set to `true`, LiteLLM will handle er
 |---------------|-------------------|----------------|
 | Prisma Errors | ✅ Request will be allowed | Covers issues like DB connection resets or rejections from the DB via Prisma, the ORM used by LiteLLM. |
 | Httpx Errors | ✅ Request will be allowed | Occurs when the database is unreachable, allowing the request to proceed despite the DB outage. |
+| Pod Startup Behavior | ✅ Pods start regardless | LiteLLM Pods will start even if the database is down or unreachable, ensuring higher uptime guarantees for deployments. |
+| Health/Readiness Check | ✅ Always returns 200 OK | The /health/readiness endpoint returns a 200 OK status to ensure that pods remain operational even when the database is unavailable.
 | LiteLLM Budget Errors or Model Errors | ❌ Request will be blocked | Triggered when the DB is reachable but the authentication token is invalid, lacks access, or exceeds budget limits. |
 
 

From 109add7946ced31850466d38405b7b78af7f6bfd Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 23:04:24 -0700
Subject: [PATCH 106/244] build(model_prices_and_context_window.json): add
 gemini multimodal embedding cost

---
 .../model_prices_and_context_window_backup.json | 17 +++++++++++++++++
 model_prices_and_context_window.json            | 17 +++++++++++++++++
 tests/local_testing/test_get_model_info.py      |  4 ++++
 3 files changed, 38 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 06f7238c01..b8e32a24ce 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -5373,6 +5373,23 @@
         "mode": "embedding",
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
     },
+    "multimodalembedding": {
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
+        "output_vector_size": 768,
+        "input_cost_per_character": 0.0000002,
+        "input_cost_per_image": 0.0001,
+        "input_cost_per_video_per_second": 0.0005,
+        "input_cost_per_video_per_second_above_8s_interval": 0.0010,
+        "input_cost_per_video_per_second_above_15s_interval": 0.0020,
+        "input_cost_per_token": 0.0000008,
+        "output_cost_per_token": 0,
+        "litellm_provider": "vertex_ai-embedding-models",
+        "mode": "embedding",
+        "supported_endpoints": ["/v1/embeddings"],
+        "supported_modalities": ["text", "image", "video"],
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
+    },
     "text-embedding-large-exp-03-07": {
         "max_tokens": 8192,
         "max_input_tokens": 8192,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 06f7238c01..b8e32a24ce 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -5373,6 +5373,23 @@
         "mode": "embedding",
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
     },
+    "multimodalembedding": {
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
+        "output_vector_size": 768,
+        "input_cost_per_character": 0.0000002,
+        "input_cost_per_image": 0.0001,
+        "input_cost_per_video_per_second": 0.0005,
+        "input_cost_per_video_per_second_above_8s_interval": 0.0010,
+        "input_cost_per_video_per_second_above_15s_interval": 0.0020,
+        "input_cost_per_token": 0.0000008,
+        "output_cost_per_token": 0,
+        "litellm_provider": "vertex_ai-embedding-models",
+        "mode": "embedding",
+        "supported_endpoints": ["/v1/embeddings"],
+        "supported_modalities": ["text", "image", "video"],
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
+    },
     "text-embedding-large-exp-03-07": {
         "max_tokens": 8192,
         "max_input_tokens": 8192,
diff --git a/tests/local_testing/test_get_model_info.py b/tests/local_testing/test_get_model_info.py
index 1a0f6d7a8d..27b9b1a2b6 100644
--- a/tests/local_testing/test_get_model_info.py
+++ b/tests/local_testing/test_get_model_info.py
@@ -441,6 +441,10 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "input_cost_per_token_batches": {"type": "number"},
                 "input_cost_per_token_cache_hit": {"type": "number"},
                 "input_cost_per_video_per_second": {"type": "number"},
+                "input_cost_per_video_per_second_above_8s_interval": {"type": "number"},
+                "input_cost_per_video_per_second_above_15s_interval": {
+                    "type": "number"
+                },
                 "input_cost_per_video_per_second_above_128k_tokens": {"type": "number"},
                 "input_dbu_cost_per_token": {"type": "number"},
                 "litellm_provider": {"type": "string"},

From c0845fec1fa4a21758b405930d7568d4336d687f Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 23:10:25 -0700
Subject: [PATCH 107/244] Add OpenAI gpt-4o-transcribe support (#9517)

* refactor: introduce new transformation config for gpt-4o-transcribe models

* refactor: expose new transformation configs for audio transcription

* ci: fix config yml

* feat(openai/transcriptions): support provider config transformation on openai audio transcriptions

allows gpt-4o and whisper audio transformation to work as expected

* refactor: migrate fireworks ai + deepgram to new transform request pattern

* feat(openai/): working support for gpt-4o-audio-transcribe

* build(model_prices_and_context_window.json): add gpt-4o-transcribe to model cost map

* build(model_prices_and_context_window.json): specify what endpoints are supported for `/audio/transcriptions`

* fix(get_supported_openai_params.py): fix return

* refactor(deepgram/): migrate unit test to deepgram handler

* refactor: cleanup unused imports

* fix(get_supported_openai_params.py): fix linting error

* test: update test
---
 litellm/__init__.py                           |  6 ++
 .../get_supported_openai_params.py            | 16 +++
 .../audio_transcription/transformation.py     | 16 ++-
 litellm/llms/custom_httpx/llm_http_handler.py | 67 ++++---------
 .../audio_transcription/transformation.py     | 52 +++++++++-
 .../audio_transcription/transformation.py     | 19 +---
 .../transcriptions/gpt_transformation.py      | 34 +++++++
 litellm/llms/openai/transcriptions/handler.py | 26 +++--
 .../transcriptions/whisper_transformation.py  | 97 +++++++++++++++++++
 litellm/main.py                               | 10 ++
 ...odel_prices_and_context_window_backup.json | 25 ++++-
 litellm/proxy/_new_secret_config.yaml         |  4 +
 litellm/types/llms/openai.py                  |  7 +-
 litellm/utils.py                              |  5 +
 model_prices_and_context_window.json          | 25 ++++-
 ...eek_audio_transcription_transformation.py} | 32 +++---
 tests/litellm_utils_tests/test_utils.py       | 10 ++
 tests/llm_translation/test_openai.py          | 11 +++
 tests/local_testing/test_get_model_info.py    |  2 +
 tests/local_testing/test_whisper.py           | 30 ++++++
 20 files changed, 402 insertions(+), 92 deletions(-)
 create mode 100644 litellm/llms/openai/transcriptions/gpt_transformation.py
 create mode 100644 litellm/llms/openai/transcriptions/whisper_transformation.py
 rename tests/litellm/llms/{custom_httpx/test_handle_audio_file.py => deepgram/audio_transcription/test_deepseek_audio_transcription_transformation.py} (60%)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index a59484b035..8cdde24a6a 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -950,6 +950,12 @@ openaiOSeriesConfig = OpenAIOSeriesConfig()
 from .llms.openai.chat.gpt_transformation import (
     OpenAIGPTConfig,
 )
+from .llms.openai.transcriptions.whisper_transformation import (
+    OpenAIWhisperAudioTranscriptionConfig,
+)
+from .llms.openai.transcriptions.gpt_transformation import (
+    OpenAIGPTAudioTranscriptionConfig,
+)
 
 openAIGPTConfig = OpenAIGPTConfig()
 from .llms.openai.chat.gpt_audio_transformation import (
diff --git a/litellm/litellm_core_utils/get_supported_openai_params.py b/litellm/litellm_core_utils/get_supported_openai_params.py
index 3d4f8cef6f..ccbdb331fd 100644
--- a/litellm/litellm_core_utils/get_supported_openai_params.py
+++ b/litellm/litellm_core_utils/get_supported_openai_params.py
@@ -79,6 +79,22 @@ def get_supported_openai_params(  # noqa: PLR0915
     elif custom_llm_provider == "maritalk":
         return litellm.MaritalkConfig().get_supported_openai_params(model=model)
     elif custom_llm_provider == "openai":
+        if request_type == "transcription":
+            transcription_provider_config = (
+                litellm.ProviderConfigManager.get_provider_audio_transcription_config(
+                    model=model, provider=LlmProviders.OPENAI
+                )
+            )
+            if isinstance(
+                transcription_provider_config, litellm.OpenAIGPTAudioTranscriptionConfig
+            ):
+                return transcription_provider_config.get_supported_openai_params(
+                    model=model
+                )
+            else:
+                raise ValueError(
+                    f"Unsupported provider config: {transcription_provider_config} for model: {model}"
+                )
         return litellm.OpenAIConfig().get_supported_openai_params(model=model)
     elif custom_llm_provider == "azure":
         if litellm.AzureOpenAIO1Config().is_o_series_model(model=model):
diff --git a/litellm/llms/base_llm/audio_transcription/transformation.py b/litellm/llms/base_llm/audio_transcription/transformation.py
index e550c574e2..d48edb041c 100644
--- a/litellm/llms/base_llm/audio_transcription/transformation.py
+++ b/litellm/llms/base_llm/audio_transcription/transformation.py
@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import TYPE_CHECKING, Any, List, Optional
+from typing import TYPE_CHECKING, Any, List, Optional, Union
 
 import httpx
 
@@ -8,7 +8,7 @@ from litellm.types.llms.openai import (
     AllMessageValues,
     OpenAIAudioTranscriptionOptionalParams,
 )
-from litellm.types.utils import ModelResponse
+from litellm.types.utils import FileTypes, ModelResponse
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
@@ -42,6 +42,18 @@ class BaseAudioTranscriptionConfig(BaseConfig, ABC):
         """
         return api_base or ""
 
+    @abstractmethod
+    def transform_audio_transcription_request(
+        self,
+        model: str,
+        audio_file: FileTypes,
+        optional_params: dict,
+        litellm_params: dict,
+    ) -> Union[dict, bytes]:
+        raise NotImplementedError(
+            "AudioTranscriptionConfig needs a request transformation for audio transcription models"
+        )
+
     def transform_request(
         self,
         model: str,
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 00caf55207..872626c747 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -1,4 +1,3 @@
-import io
 import json
 from typing import TYPE_CHECKING, Any, Coroutine, Dict, Optional, Tuple, Union
 
@@ -8,6 +7,9 @@ import litellm
 import litellm.litellm_core_utils
 import litellm.types
 import litellm.types.utils
+from litellm.llms.base_llm.audio_transcription.transformation import (
+    BaseAudioTranscriptionConfig,
+)
 from litellm.llms.base_llm.chat.transformation import BaseConfig
 from litellm.llms.base_llm.embedding.transformation import BaseEmbeddingConfig
 from litellm.llms.base_llm.rerank.transformation import BaseRerankConfig
@@ -852,54 +854,12 @@ class BaseLLMHTTPHandler:
             request_data=request_data,
         )
 
-    def handle_audio_file(self, audio_file: FileTypes) -> bytes:
-        """
-        Processes the audio file input based on its type and returns the binary data.
-
-        Args:
-            audio_file: Can be a file path (str), a tuple (filename, file_content), or binary data (bytes).
-
-        Returns:
-            The binary data of the audio file.
-        """
-        binary_data: bytes  # Explicitly declare the type
-
-        # Handle the audio file based on type
-        if isinstance(audio_file, str):
-            # If it's a file path
-            with open(audio_file, "rb") as f:
-                binary_data = f.read()  # `f.read()` always returns `bytes`
-        elif isinstance(audio_file, tuple):
-            # Handle tuple case
-            _, file_content = audio_file[:2]
-            if isinstance(file_content, str):
-                with open(file_content, "rb") as f:
-                    binary_data = f.read()  # `f.read()` always returns `bytes`
-            elif isinstance(file_content, bytes):
-                binary_data = file_content
-            else:
-                raise TypeError(
-                    f"Unexpected type in tuple: {type(file_content)}. Expected str or bytes."
-                )
-        elif isinstance(audio_file, bytes):
-            # Assume it's already binary data
-            binary_data = audio_file
-        elif isinstance(audio_file, io.BufferedReader) or isinstance(
-            audio_file, io.BytesIO
-        ):
-            # Handle file-like objects
-            binary_data = audio_file.read()
-
-        else:
-            raise TypeError(f"Unsupported type for audio_file: {type(audio_file)}")
-
-        return binary_data
-
     def audio_transcriptions(
         self,
         model: str,
         audio_file: FileTypes,
         optional_params: dict,
+        litellm_params: dict,
         model_response: TranscriptionResponse,
         timeout: float,
         max_retries: int,
@@ -910,11 +870,8 @@ class BaseLLMHTTPHandler:
         client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
         atranscription: bool = False,
         headers: dict = {},
-        litellm_params: dict = {},
+        provider_config: Optional[BaseAudioTranscriptionConfig] = None,
     ) -> TranscriptionResponse:
-        provider_config = ProviderConfigManager.get_provider_audio_transcription_config(
-            model=model, provider=litellm.LlmProviders(custom_llm_provider)
-        )
         if provider_config is None:
             raise ValueError(
                 f"No provider config found for model: {model} and provider: {custom_llm_provider}"
@@ -938,7 +895,18 @@ class BaseLLMHTTPHandler:
         )
 
         # Handle the audio file based on type
-        binary_data = self.handle_audio_file(audio_file)
+        data = provider_config.transform_audio_transcription_request(
+            model=model,
+            audio_file=audio_file,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+        )
+        binary_data: Optional[bytes] = None
+        json_data: Optional[dict] = None
+        if isinstance(data, bytes):
+            binary_data = data
+        else:
+            json_data = data
 
         try:
             # Make the POST request
@@ -946,6 +914,7 @@ class BaseLLMHTTPHandler:
                 url=complete_url,
                 headers=headers,
                 content=binary_data,
+                json=json_data,
                 timeout=timeout,
             )
         except Exception as e:
diff --git a/litellm/llms/deepgram/audio_transcription/transformation.py b/litellm/llms/deepgram/audio_transcription/transformation.py
index 06296736ea..90720a77f7 100644
--- a/litellm/llms/deepgram/audio_transcription/transformation.py
+++ b/litellm/llms/deepgram/audio_transcription/transformation.py
@@ -2,6 +2,7 @@
 Translates from OpenAI's `/v1/audio/transcriptions` to Deepgram's `/v1/listen`
 """
 
+import io
 from typing import List, Optional, Union
 
 from httpx import Headers, Response
@@ -12,7 +13,7 @@ from litellm.types.llms.openai import (
     AllMessageValues,
     OpenAIAudioTranscriptionOptionalParams,
 )
-from litellm.types.utils import TranscriptionResponse
+from litellm.types.utils import FileTypes, TranscriptionResponse
 
 from ...base_llm.audio_transcription.transformation import (
     BaseAudioTranscriptionConfig,
@@ -47,6 +48,55 @@ class DeepgramAudioTranscriptionConfig(BaseAudioTranscriptionConfig):
             message=error_message, status_code=status_code, headers=headers
         )
 
+    def transform_audio_transcription_request(
+        self,
+        model: str,
+        audio_file: FileTypes,
+        optional_params: dict,
+        litellm_params: dict,
+    ) -> Union[dict, bytes]:
+        """
+        Processes the audio file input based on its type and returns the binary data.
+
+        Args:
+            audio_file: Can be a file path (str), a tuple (filename, file_content), or binary data (bytes).
+
+        Returns:
+            The binary data of the audio file.
+        """
+        binary_data: bytes  # Explicitly declare the type
+
+        # Handle the audio file based on type
+        if isinstance(audio_file, str):
+            # If it's a file path
+            with open(audio_file, "rb") as f:
+                binary_data = f.read()  # `f.read()` always returns `bytes`
+        elif isinstance(audio_file, tuple):
+            # Handle tuple case
+            _, file_content = audio_file[:2]
+            if isinstance(file_content, str):
+                with open(file_content, "rb") as f:
+                    binary_data = f.read()  # `f.read()` always returns `bytes`
+            elif isinstance(file_content, bytes):
+                binary_data = file_content
+            else:
+                raise TypeError(
+                    f"Unexpected type in tuple: {type(file_content)}. Expected str or bytes."
+                )
+        elif isinstance(audio_file, bytes):
+            # Assume it's already binary data
+            binary_data = audio_file
+        elif isinstance(audio_file, io.BufferedReader) or isinstance(
+            audio_file, io.BytesIO
+        ):
+            # Handle file-like objects
+            binary_data = audio_file.read()
+
+        else:
+            raise TypeError(f"Unsupported type for audio_file: {type(audio_file)}")
+
+        return binary_data
+
     def transform_audio_transcription_response(
         self,
         model: str,
diff --git a/litellm/llms/fireworks_ai/audio_transcription/transformation.py b/litellm/llms/fireworks_ai/audio_transcription/transformation.py
index 8f35705299..00bb5f2679 100644
--- a/litellm/llms/fireworks_ai/audio_transcription/transformation.py
+++ b/litellm/llms/fireworks_ai/audio_transcription/transformation.py
@@ -2,27 +2,16 @@ from typing import List
 
 from litellm.types.llms.openai import OpenAIAudioTranscriptionOptionalParams
 
-from ...base_llm.audio_transcription.transformation import BaseAudioTranscriptionConfig
+from ...openai.transcriptions.whisper_transformation import (
+    OpenAIWhisperAudioTranscriptionConfig,
+)
 from ..common_utils import FireworksAIMixin
 
 
 class FireworksAIAudioTranscriptionConfig(
-    FireworksAIMixin, BaseAudioTranscriptionConfig
+    FireworksAIMixin, OpenAIWhisperAudioTranscriptionConfig
 ):
     def get_supported_openai_params(
         self, model: str
     ) -> List[OpenAIAudioTranscriptionOptionalParams]:
         return ["language", "prompt", "response_format", "timestamp_granularities"]
-
-    def map_openai_params(
-        self,
-        non_default_params: dict,
-        optional_params: dict,
-        model: str,
-        drop_params: bool,
-    ) -> dict:
-        supported_params = self.get_supported_openai_params(model)
-        for k, v in non_default_params.items():
-            if k in supported_params:
-                optional_params[k] = v
-        return optional_params
diff --git a/litellm/llms/openai/transcriptions/gpt_transformation.py b/litellm/llms/openai/transcriptions/gpt_transformation.py
new file mode 100644
index 0000000000..796e10f515
--- /dev/null
+++ b/litellm/llms/openai/transcriptions/gpt_transformation.py
@@ -0,0 +1,34 @@
+from typing import List
+
+from litellm.types.llms.openai import OpenAIAudioTranscriptionOptionalParams
+from litellm.types.utils import FileTypes
+
+from .whisper_transformation import OpenAIWhisperAudioTranscriptionConfig
+
+
+class OpenAIGPTAudioTranscriptionConfig(OpenAIWhisperAudioTranscriptionConfig):
+    def get_supported_openai_params(
+        self, model: str
+    ) -> List[OpenAIAudioTranscriptionOptionalParams]:
+        """
+        Get the supported OpenAI params for the `gpt-4o-transcribe` models
+        """
+        return [
+            "language",
+            "prompt",
+            "response_format",
+            "temperature",
+            "include",
+        ]
+
+    def transform_audio_transcription_request(
+        self,
+        model: str,
+        audio_file: FileTypes,
+        optional_params: dict,
+        litellm_params: dict,
+    ) -> dict:
+        """
+        Transform the audio transcription request
+        """
+        return {"model": model, "file": audio_file, **optional_params}
diff --git a/litellm/llms/openai/transcriptions/handler.py b/litellm/llms/openai/transcriptions/handler.py
index d9dd3c123b..78a913cbf3 100644
--- a/litellm/llms/openai/transcriptions/handler.py
+++ b/litellm/llms/openai/transcriptions/handler.py
@@ -7,6 +7,9 @@ from pydantic import BaseModel
 import litellm
 from litellm.litellm_core_utils.audio_utils.utils import get_audio_file_name
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+from litellm.llms.base_llm.audio_transcription.transformation import (
+    BaseAudioTranscriptionConfig,
+)
 from litellm.types.utils import FileTypes
 from litellm.utils import (
     TranscriptionResponse,
@@ -75,6 +78,7 @@ class OpenAIAudioTranscription(OpenAIChatCompletion):
         model: str,
         audio_file: FileTypes,
         optional_params: dict,
+        litellm_params: dict,
         model_response: TranscriptionResponse,
         timeout: float,
         max_retries: int,
@@ -83,16 +87,24 @@ class OpenAIAudioTranscription(OpenAIChatCompletion):
         api_base: Optional[str],
         client=None,
         atranscription: bool = False,
+        provider_config: Optional[BaseAudioTranscriptionConfig] = None,
     ) -> TranscriptionResponse:
-        data = {"model": model, "file": audio_file, **optional_params}
-
-        if "response_format" not in data or (
-            data["response_format"] == "text" or data["response_format"] == "json"
-        ):
-            data["response_format"] = (
-                "verbose_json"  # ensures 'duration' is received - used for cost calculation
+        """
+        Handle audio transcription request
+        """
+        if provider_config is not None:
+            data = provider_config.transform_audio_transcription_request(
+                model=model,
+                audio_file=audio_file,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
             )
 
+            if isinstance(data, bytes):
+                raise ValueError("OpenAI transformation route requires a dict")
+        else:
+            data = {"model": model, "file": audio_file, **optional_params}
+
         if atranscription is True:
             return self.async_audio_transcriptions(  # type: ignore
                 audio_file=audio_file,
diff --git a/litellm/llms/openai/transcriptions/whisper_transformation.py b/litellm/llms/openai/transcriptions/whisper_transformation.py
new file mode 100644
index 0000000000..5a7d6481a8
--- /dev/null
+++ b/litellm/llms/openai/transcriptions/whisper_transformation.py
@@ -0,0 +1,97 @@
+from typing import List, Optional, Union
+
+from httpx import Headers
+
+from litellm.llms.base_llm.audio_transcription.transformation import (
+    BaseAudioTranscriptionConfig,
+)
+from litellm.llms.base_llm.chat.transformation import BaseLLMException
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.llms.openai import (
+    AllMessageValues,
+    OpenAIAudioTranscriptionOptionalParams,
+)
+from litellm.types.utils import FileTypes
+
+from ..common_utils import OpenAIError
+
+
+class OpenAIWhisperAudioTranscriptionConfig(BaseAudioTranscriptionConfig):
+    def get_supported_openai_params(
+        self, model: str
+    ) -> List[OpenAIAudioTranscriptionOptionalParams]:
+        """
+        Get the supported OpenAI params for the `whisper-1` models
+        """
+        return [
+            "language",
+            "prompt",
+            "response_format",
+            "temperature",
+            "timestamp_granularities",
+        ]
+
+    def map_openai_params(
+        self,
+        non_default_params: dict,
+        optional_params: dict,
+        model: str,
+        drop_params: bool,
+    ) -> dict:
+        """
+        Map the OpenAI params to the Whisper params
+        """
+        supported_params = self.get_supported_openai_params(model)
+        for k, v in non_default_params.items():
+            if k in supported_params:
+                optional_params[k] = v
+        return optional_params
+
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> dict:
+        api_key = api_key or get_secret_str("OPENAI_API_KEY")
+
+        auth_header = {
+            "Authorization": f"Bearer {api_key}",
+        }
+
+        headers.update(auth_header)
+        return headers
+
+    def transform_audio_transcription_request(
+        self,
+        model: str,
+        audio_file: FileTypes,
+        optional_params: dict,
+        litellm_params: dict,
+    ) -> dict:
+        """
+        Transform the audio transcription request
+        """
+
+        data = {"model": model, "file": audio_file, **optional_params}
+
+        if "response_format" not in data or (
+            data["response_format"] == "text" or data["response_format"] == "json"
+        ):
+            data["response_format"] = (
+                "verbose_json"  # ensures 'duration' is received - used for cost calculation
+            )
+
+        return data
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: Union[dict, Headers]
+    ) -> BaseLLMException:
+        return OpenAIError(
+            status_code=status_code,
+            message=error_message,
+            headers=headers,
+        )
diff --git a/litellm/main.py b/litellm/main.py
index 94e19aab0c..b2732c165c 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -5095,6 +5095,12 @@ def transcription(
     response: Optional[
         Union[TranscriptionResponse, Coroutine[Any, Any, TranscriptionResponse]]
     ] = None
+
+    provider_config = ProviderConfigManager.get_provider_audio_transcription_config(
+        model=model,
+        provider=LlmProviders(custom_llm_provider),
+    )
+
     if custom_llm_provider == "azure":
         # azure configs
         api_base = api_base or litellm.api_base or get_secret_str("AZURE_API_BASE")
@@ -5161,12 +5167,15 @@ def transcription(
             max_retries=max_retries,
             api_base=api_base,
             api_key=api_key,
+            provider_config=provider_config,
+            litellm_params=litellm_params_dict,
         )
     elif custom_llm_provider == "deepgram":
         response = base_llm_http_handler.audio_transcriptions(
             model=model,
             audio_file=file,
             optional_params=optional_params,
+            litellm_params=litellm_params_dict,
             model_response=model_response,
             atranscription=atranscription,
             client=(
@@ -5185,6 +5194,7 @@ def transcription(
             api_key=api_key,
             custom_llm_provider="deepgram",
             headers={},
+            provider_config=provider_config,
         )
     if response is None:
         raise ValueError("Unmapped provider passed in. Unable to get the response.")
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b8e32a24ce..da780f8353 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1176,21 +1176,40 @@
         "output_cost_per_pixel": 0.0,
         "litellm_provider": "openai"
     },
+    "gpt-4o-transcribe": {
+        "mode": "audio_transcription",
+        "input_cost_per_token": 0.0000025,
+        "input_cost_per_audio_token": 0.000006,
+        "output_cost_per_token": 0.00001, 
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
+    }, 
+    "gpt-4o-mini-transcribe": {
+        "mode": "audio_transcription",
+        "input_cost_per_token": 0.00000125,
+        "input_cost_per_audio_token": 0.000003,
+        "output_cost_per_token": 0.000005, 
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
+    }, 
     "whisper-1": {
         "mode": "audio_transcription",
         "input_cost_per_second": 0.0001,
         "output_cost_per_second": 0.0001, 
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
     }, 
     "tts-1": {
         "mode": "audio_speech", 
         "input_cost_per_character": 0.000015,
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/speech"]
     },
     "tts-1-hd": {
         "mode": "audio_speech", 
         "input_cost_per_character": 0.000030,
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/speech"]
     },
     "azure/gpt-4o-mini-realtime-preview-2024-12-17": {
         "max_tokens": 4096,
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index 09db9f10ee..b9a5765ee4 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -9,6 +9,10 @@ model_list:
    litellm_params:
     model: gpt-4o-mini
     api_key: os.environ/OPENAI_API_KEY
+ - model_name: "openai/*"
+   litellm_params:
+    model: openai/*
+    api_key: os.environ/OPENAI_API_KEY
  - model_name: "bedrock-nova"
    litellm_params:
     model: us.amazon.nova-pro-v1:0
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index 19899648f5..1c5552637c 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -779,7 +779,12 @@ class LiteLLMFineTuningJobCreate(FineTuningJobCreate):
 AllEmbeddingInputValues = Union[str, List[str], List[int], List[List[int]]]
 
 OpenAIAudioTranscriptionOptionalParams = Literal[
-    "language", "prompt", "temperature", "response_format", "timestamp_granularities"
+    "language",
+    "prompt",
+    "temperature",
+    "response_format",
+    "timestamp_granularities",
+    "include",
 ]
 
 
diff --git a/litellm/utils.py b/litellm/utils.py
index dc97c4d898..3fcb4a803a 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -6364,6 +6364,11 @@ class ProviderConfigManager:
             return litellm.FireworksAIAudioTranscriptionConfig()
         elif litellm.LlmProviders.DEEPGRAM == provider:
             return litellm.DeepgramAudioTranscriptionConfig()
+        elif litellm.LlmProviders.OPENAI == provider:
+            if "gpt-4o" in model:
+                return litellm.OpenAIGPTAudioTranscriptionConfig()
+            else:
+                return litellm.OpenAIWhisperAudioTranscriptionConfig()
         return None
 
     @staticmethod
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b8e32a24ce..da780f8353 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1176,21 +1176,40 @@
         "output_cost_per_pixel": 0.0,
         "litellm_provider": "openai"
     },
+    "gpt-4o-transcribe": {
+        "mode": "audio_transcription",
+        "input_cost_per_token": 0.0000025,
+        "input_cost_per_audio_token": 0.000006,
+        "output_cost_per_token": 0.00001, 
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
+    }, 
+    "gpt-4o-mini-transcribe": {
+        "mode": "audio_transcription",
+        "input_cost_per_token": 0.00000125,
+        "input_cost_per_audio_token": 0.000003,
+        "output_cost_per_token": 0.000005, 
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
+    }, 
     "whisper-1": {
         "mode": "audio_transcription",
         "input_cost_per_second": 0.0001,
         "output_cost_per_second": 0.0001, 
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/transcriptions"]
     }, 
     "tts-1": {
         "mode": "audio_speech", 
         "input_cost_per_character": 0.000015,
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/speech"]
     },
     "tts-1-hd": {
         "mode": "audio_speech", 
         "input_cost_per_character": 0.000030,
-        "litellm_provider": "openai"
+        "litellm_provider": "openai",
+        "supported_endpoints": ["/v1/audio/speech"]
     },
     "azure/gpt-4o-mini-realtime-preview-2024-12-17": {
         "max_tokens": 4096,
diff --git a/tests/litellm/llms/custom_httpx/test_handle_audio_file.py b/tests/litellm/llms/deepgram/audio_transcription/test_deepseek_audio_transcription_transformation.py
similarity index 60%
rename from tests/litellm/llms/custom_httpx/test_handle_audio_file.py
rename to tests/litellm/llms/deepgram/audio_transcription/test_deepseek_audio_transcription_transformation.py
index 682803788b..ea035db119 100644
--- a/tests/litellm/llms/custom_httpx/test_handle_audio_file.py
+++ b/tests/litellm/llms/deepgram/audio_transcription/test_deepseek_audio_transcription_transformation.py
@@ -1,47 +1,57 @@
-
-import os
 import io
+import os
 import pathlib
 import sys
 
 import pytest
 
-
 sys.path.insert(
-    0, os.path.abspath("../../../..")
+    0, os.path.abspath("../../../../..")
 )  # Adds the parent directory to the system path
-import litellm
 
-from litellm.llms.custom_httpx.llm_http_handler import BaseLLMHTTPHandler
+import litellm
+from litellm.llms.deepgram.audio_transcription.transformation import (
+    DeepgramAudioTranscriptionConfig,
+)
+
 
 @pytest.fixture
 def test_bytes():
-    return b'litellm', b'litellm'
+    return b"litellm", b"litellm"
+
 
 @pytest.fixture
 def test_io_bytes(test_bytes):
     return io.BytesIO(test_bytes[0]), test_bytes[1]
 
+
 @pytest.fixture
 def test_file():
     pwd = os.path.dirname(os.path.realpath(__file__))
     pwd_path = pathlib.Path(pwd)
-    test_root = pwd_path.parents[2]
+    test_root = pwd_path.parents[3]
+    print(f"test_root: {test_root}")
     file_path = os.path.join(test_root, "gettysburg.wav")
     f = open(file_path, "rb")
     content = f.read()
     f.seek(0)
     return f, content
 
+
 @pytest.mark.parametrize(
     "fixture_name",
     [
         "test_bytes",
         "test_io_bytes",
         "test_file",
-    ]
+    ],
 )
 def test_audio_file_handling(fixture_name, request):
-    handler = BaseLLMHTTPHandler()
+    handler = DeepgramAudioTranscriptionConfig()
     (audio_file, expected_output) = request.getfixturevalue(fixture_name)
-    assert expected_output == handler.handle_audio_file(audio_file)
\ No newline at end of file
+    assert expected_output == handler.transform_audio_transcription_request(
+        model="deepseek-audio-transcription",
+        audio_file=audio_file,
+        optional_params={},
+        litellm_params={},
+    )
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index fea225e4a3..535861ce1a 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -2074,3 +2074,13 @@ def test_delta_object():
     assert delta.role == "user"
     assert not hasattr(delta, "thinking_blocks")
     assert not hasattr(delta, "reasoning_content")
+
+
+def test_get_provider_audio_transcription_config():
+    from litellm.utils import ProviderConfigManager
+    from litellm.types.utils import LlmProviders
+
+    for provider in LlmProviders:
+        config = ProviderConfigManager.get_provider_audio_transcription_config(
+            model="whisper-1", provider=provider
+        )
diff --git a/tests/llm_translation/test_openai.py b/tests/llm_translation/test_openai.py
index 633ff76467..676019b86f 100644
--- a/tests/llm_translation/test_openai.py
+++ b/tests/llm_translation/test_openai.py
@@ -22,6 +22,7 @@ from litellm.types.llms.openai import (
     ChatCompletionAnnotation,
     ChatCompletionAnnotationURLCitation,
 )
+from base_audio_transcription_unit_tests import BaseLLMAudioTranscriptionTest
 
 
 def test_openai_prediction_param():
@@ -458,3 +459,13 @@ def test_openai_web_search_streaming():
     # Assert this request has at-least one web search annotation
     assert test_openai_web_search is not None
     validate_web_search_annotations(test_openai_web_search)
+
+
+class TestOpenAIGPT4OAudioTranscription(BaseLLMAudioTranscriptionTest):
+    def get_base_audio_transcription_call_args(self) -> dict:
+        return {
+            "model": "openai/gpt-4o-transcribe",
+        }
+
+    def get_custom_llm_provider(self) -> litellm.LlmProviders:
+        return litellm.LlmProviders.OPENAI
diff --git a/tests/local_testing/test_get_model_info.py b/tests/local_testing/test_get_model_info.py
index 27b9b1a2b6..7677f90671 100644
--- a/tests/local_testing/test_get_model_info.py
+++ b/tests/local_testing/test_get_model_info.py
@@ -520,6 +520,8 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                             "/v1/images/variations",
                             "/v1/images/edits",
                             "/v1/batch",
+                            "/v1/audio/transcriptions",
+                            "/v1/audio/speech",
                         ],
                     },
                 },
diff --git a/tests/local_testing/test_whisper.py b/tests/local_testing/test_whisper.py
index 5bda5456a4..bca7ae2add 100644
--- a/tests/local_testing/test_whisper.py
+++ b/tests/local_testing/test_whisper.py
@@ -134,3 +134,33 @@ async def test_whisper_log_pre_call():
             file=audio_file,
         )
         mock_log_pre_call.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_whisper_log_pre_call():
+    from litellm.litellm_core_utils.litellm_logging import Logging
+    from datetime import datetime
+    from unittest.mock import patch, MagicMock
+    from litellm.integrations.custom_logger import CustomLogger
+
+    custom_logger = CustomLogger()
+
+    litellm.callbacks = [custom_logger]
+
+    with patch.object(custom_logger, "log_pre_api_call") as mock_log_pre_call:
+        await litellm.atranscription(
+            model="whisper-1",
+            file=audio_file,
+        )
+        mock_log_pre_call.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_gpt_4o_transcribe():
+    from litellm.litellm_core_utils.litellm_logging import Logging
+    from datetime import datetime
+    from unittest.mock import patch, MagicMock
+
+    await litellm.atranscription(
+        model="openai/gpt-4o-transcribe", file=audio_file, response_format="json"
+    )

From 6ba31e1d84d1de51f91667decc11424baac29642 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 23:11:15 -0700
Subject: [PATCH 108/244] Allow viewing keyinfo on request logs (#9568)

* feat(view_logs.tsx): show model id + api base in request logs

easier debugging

* fix(index.tsx): fix length of api base

easier viewing

* build(ui/): initial commit allowing user to click into key from request logs

allows easier debugging of 'what key is this?
---
 ui/litellm-dashboard/src/app/page.tsx         |  3 +-
 .../src/components/networking.tsx             |  6 +-
 .../src/components/view_logs/columns.tsx      | 12 +++-
 .../src/components/view_logs/index.tsx        | 61 ++++++++++++++++---
 .../src/components/view_logs/table.tsx        |  1 +
 5 files changed, 72 insertions(+), 11 deletions(-)

diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index 876a6b7c1c..9b9ec0c9c0 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -5,7 +5,7 @@ import { useSearchParams } from "next/navigation";
 import { jwtDecode } from "jwt-decode";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { defaultOrg } from "@/components/common_components/default_org";
-import { Team } from "@/components/key_team_helpers/key_list";
+import { KeyResponse, Team } from "@/components/key_team_helpers/key_list";
 import Navbar from "@/components/navbar";
 import UserDashboard from "@/components/user_dashboard";
 import ModelDashboard from "@/components/model_dashboard";
@@ -344,6 +344,7 @@ export default function CreateKeyPage() {
                   userRole={userRole}
                   token={token}
                   accessToken={accessToken}
+                  allTeams={teams as Team[] ?? []}
                 />
               ) : (
                 <Usage
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 1079b5b278..cf0b9ec5dc 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -2372,6 +2372,7 @@ export const testConnectionRequest = async (
 // ... existing code ...
 export const keyInfoV1Call = async (accessToken: string, key: string) => {
   try {
+    console.log("entering keyInfoV1Call");
     let url = proxyBaseUrl ? `${proxyBaseUrl}/key/info` : `/key/info`;
     url = `${url}?key=${key}`; // Add key as query parameter
 
@@ -2384,13 +2385,16 @@ export const keyInfoV1Call = async (accessToken: string, key: string) => {
       // Remove body since this is a GET request
     });
 
+    console.log("response", response);
+
     if (!response.ok) {
       const errorData = await response.text();
       handleError(errorData);
-      throw new Error("Network response was not ok");
+      message.error("Failed to fetch key info - " + errorData);
     }
 
     const data = await response.json();
+    console.log("data", data);
     return data;
   } catch (error) {
     console.error("Failed to fetch key info:", error);
diff --git a/ui/litellm-dashboard/src/components/view_logs/columns.tsx b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
index 980124ff3b..98f5bfbc9d 100644
--- a/ui/litellm-dashboard/src/components/view_logs/columns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
@@ -6,12 +6,14 @@ import { CountryCell } from "./country_cell";
 import { getProviderLogoAndName } from "../provider_info_helpers";
 import { Tooltip } from "antd";
 import { TimeCell } from "./time_cell";
+import { Button } from "@tremor/react";
 
 export type LogEntry = {
   request_id: string;
   api_key: string;
   team_id: string;
   model: string;
+  model_id: string;
   api_base?: string;
   call_type: string;
   spend: number;
@@ -30,6 +32,7 @@ export type LogEntry = {
   requester_ip_address?: string;
   messages: string | any[] | Record<string, any>;
   response: string | any[] | Record<string, any>;
+  onKeyHashClick?: (keyHash: string) => void;
 };
 
 export const columns: ColumnDef<LogEntry>[] = [
@@ -140,9 +143,16 @@ export const columns: ColumnDef<LogEntry>[] = [
     accessorKey: "metadata.user_api_key",
     cell: (info: any) => {
       const value = String(info.getValue() || "-");
+      const onKeyHashClick = info.row.original.onKeyHashClick;
+
       return (
         <Tooltip title={value}>
-          <span className="font-mono max-w-[15ch] truncate block">{value}</span>
+          <span 
+            className="font-mono max-w-[15ch] truncate block cursor-pointer hover:text-blue-600"
+            onClick={() => onKeyHashClick?.(value)}
+          >
+            {value}
+          </span>
         </Tooltip>
       );
     },
diff --git a/ui/litellm-dashboard/src/components/view_logs/index.tsx b/ui/litellm-dashboard/src/components/view_logs/index.tsx
index e5df2bbe95..fe82ac4ad8 100644
--- a/ui/litellm-dashboard/src/components/view_logs/index.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/index.tsx
@@ -3,7 +3,7 @@ import { useQuery } from "@tanstack/react-query";
 import { useState, useRef, useEffect } from "react";
 import { useQueryClient } from "@tanstack/react-query";
 
-import { uiSpendLogsCall } from "../networking";
+import { uiSpendLogsCall, keyInfoV1Call } from "../networking";
 import { DataTable } from "./table";
 import { columns, LogEntry } from "./columns";
 import { Row } from "@tanstack/react-table";
@@ -12,12 +12,15 @@ import { RequestResponsePanel } from "./columns";
 import { ErrorViewer } from './ErrorViewer';
 import { internalUserRoles } from "../../utils/roles";
 import { ConfigInfoMessage } from './ConfigInfoMessage';
-
+import { Tooltip } from "antd";
+import { KeyResponse, Team } from "../key_team_helpers/key_list";
+import KeyInfoView from "../key_info_view";
 interface SpendLogsTableProps {
   accessToken: string | null;
   token: string | null;
   userRole: string | null;
   userID: string | null;
+  allTeams: Team[];
 }
 
 interface PaginatedResponse {
@@ -38,6 +41,7 @@ export default function SpendLogsTable({
   token,
   userRole,
   userID,
+  allTeams,
 }: SpendLogsTableProps) {
   const [searchTerm, setSearchTerm] = useState("");
   const [showFilters, setShowFilters] = useState(false);
@@ -63,14 +67,34 @@ export default function SpendLogsTable({
   const [tempKeyHash, setTempKeyHash] = useState("");
   const [selectedTeamId, setSelectedTeamId] = useState("");
   const [selectedKeyHash, setSelectedKeyHash] = useState("");
+  const [selectedKeyInfo, setSelectedKeyInfo] = useState<KeyResponse | null>(null);
+  const [selectedKeyIdInfoView, setSelectedKeyIdInfoView] = useState<string | null>(null);
   const [selectedFilter, setSelectedFilter] = useState("Team ID");
   const [filterByCurrentUser, setFilterByCurrentUser] = useState(
     userRole && internalUserRoles.includes(userRole)
   );
+
   const [expandedRequestId, setExpandedRequestId] = useState<string | null>(null);
 
   const queryClient = useQueryClient();
 
+  useEffect(() => {
+    const fetchKeyInfo = async () => {
+      if (selectedKeyIdInfoView && accessToken) {
+        const keyData = await keyInfoV1Call(accessToken, selectedKeyIdInfoView);
+        console.log("keyData", keyData);
+
+        const keyResponse: KeyResponse = {
+          ...keyData["info"],
+          "token": selectedKeyIdInfoView,
+          "api_key": selectedKeyIdInfoView,
+        };
+        setSelectedKeyInfo(keyResponse);
+      }
+    };
+    fetchKeyInfo();
+  }, [selectedKeyIdInfoView, accessToken]);
+
   // Close dropdown when clicking outside
   useEffect(() => {
     function handleClickOutside(event: MouseEvent) {
@@ -206,7 +230,11 @@ export default function SpendLogsTable({
       
       // No need for additional filtering since we're now handling this in the API call
       return matchesSearch;
-    }) || [];
+      
+    }).map(log => ({
+      ...log,
+      onKeyHashClick: (keyHash: string) => setSelectedKeyIdInfoView(keyHash)
+    })) || [];
 
   // Add this function to handle manual refresh
   const handleRefresh = () => {
@@ -242,7 +270,10 @@ export default function SpendLogsTable({
       <div className="flex items-center justify-between mb-4">
         <h1 className="text-xl font-semibold">Request Logs</h1>
       </div>
-      
+      {selectedKeyInfo && selectedKeyIdInfoView && selectedKeyInfo.api_key === selectedKeyIdInfoView ? (
+        <KeyInfoView keyId={selectedKeyIdInfoView} keyData={selectedKeyInfo} accessToken={accessToken} userID={userID} userRole={userRole} teams={allTeams} onClose={() => setSelectedKeyIdInfoView(null)} />
+      ) : (
+      <>
       <div className="bg-white rounded-lg shadow">
         <div className="border-b px-6 py-4">
           <div className="flex flex-col md:flex-row items-start md:items-center justify-between space-y-4 md:space-y-0">
@@ -594,6 +625,8 @@ export default function SpendLogsTable({
           expandedRequestId={expandedRequestId}
         />
       </div>
+      </>
+      )} 
     </div>
   );
 }
@@ -671,18 +704,25 @@ function RequestViewer({ row }: { row: Row<LogEntry> }) {
               <span className="font-medium w-1/3">Model:</span>
               <span>{row.original.model}</span>
             </div>
+            <div className="flex">
+              <span className="font-medium w-1/3">Model ID:</span>
+              <span>{row.original.model_id}</span>
+            </div>
             <div className="flex">
               <span className="font-medium w-1/3">Provider:</span>
               <span>{row.original.custom_llm_provider || "-"}</span>
             </div>
+            <div className="flex">
+              <span className="font-medium w-1/3">API Base:</span>
+              <Tooltip title={row.original.api_base || "-"}>
+                <span className="max-w-[15ch] truncate block">{row.original.api_base || "-"}</span>
+              </Tooltip>
+            </div>
             <div className="flex">
               <span className="font-medium w-1/3">Start Time:</span>
               <span>{row.original.startTime}</span>
             </div>
-            <div className="flex">
-              <span className="font-medium w-1/3">End Time:</span>
-              <span>{row.original.endTime}</span>
-            </div>
+
           </div>
           <div className="space-y-2">
             <div className="flex">
@@ -712,6 +752,11 @@ function RequestViewer({ row }: { row: Row<LogEntry> }) {
               }`}>
                 {(row.original.metadata?.status || "Success").toLowerCase() !== "failure" ? "Success" : "Failure"}
               </span>
+              
+            </div>
+            <div className="flex">
+              <span className="font-medium w-1/3">End Time:</span>
+              <span>{row.original.endTime}</span>
             </div>
           </div>
         </div>
diff --git a/ui/litellm-dashboard/src/components/view_logs/table.tsx b/ui/litellm-dashboard/src/components/view_logs/table.tsx
index af9bc5afd2..ed728de074 100644
--- a/ui/litellm-dashboard/src/components/view_logs/table.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/table.tsx
@@ -25,6 +25,7 @@ interface DataTableProps<TData, TValue> {
   isLoading?: boolean;
   expandedRequestId?: string | null;
   onRowExpand?: (requestId: string | null) => void;
+  setSelectedKeyIdInfoView?: (keyId: string | null) => void;
 }
 
 export function DataTable<TData extends { request_id: string }, TValue>({

From 3ca34a181cae83b8b3c73e5937f07e36509a7f35 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 26 Mar 2025 23:23:16 -0700
Subject: [PATCH 109/244] docs(openai.md): add gpt-4o-transcribe to docs

---
 docs/my-website/docs/providers/openai.md | 68 ++++++++++++++++++++++++
 1 file changed, 68 insertions(+)

diff --git a/docs/my-website/docs/providers/openai.md b/docs/my-website/docs/providers/openai.md
index 794f3da647..9ab9061aaa 100644
--- a/docs/my-website/docs/providers/openai.md
+++ b/docs/my-website/docs/providers/openai.md
@@ -325,6 +325,74 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \
 | fine tuned `gpt-3.5-turbo-0613` | `response = completion(model="ft:gpt-3.5-turbo-0613", messages=messages)` |
 
 
+## OpenAI Audio Transcription
+
+LiteLLM supports OpenAI Audio Transcription endpoint.
+
+Supported models:
+
+| Model Name                | Function Call                                                          |
+|---------------------------|-----------------------------------------------------------------|
+| `whisper-1`    | `response = completion(model="whisper-1", file=audio_file)`     |
+| `gpt-4o-transcribe` | `response = completion(model="gpt-4o-transcribe", file=audio_file)` |
+| `gpt-4o-mini-transcribe` | `response = completion(model="gpt-4o-mini-transcribe", file=audio_file)` |
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import transcription
+import os 
+
+# set api keys 
+os.environ["OPENAI_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="gpt-4o-transcribe", file=audio_file)
+
+print(f"response: {response}")
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+model_list:
+- model_name: gpt-4o-transcribe
+  litellm_params:
+    model: gpt-4o-transcribe
+    api_key: os.environ/OPENAI_API_KEY
+  model_info:
+    mode: audio_transcription
+    
+general_settings:
+  master_key: sk-1234
+```
+
+2. Start the proxy
+
+```bash
+litellm --config config.yaml
+```
+
+3. Test it!
+
+```bash
+curl --location 'http://0.0.0.0:8000/v1/audio/transcriptions' \
+--header 'Authorization: Bearer sk-1234' \
+--form 'file=@"/Users/krrishdholakia/Downloads/gettysburg.wav"' \
+--form 'model="gpt-4o-transcribe"'
+```
+
+
+
+</TabItem>
+</Tabs>
+
+
+
 ## Advanced
 
 ### Getting OpenAI API Response Headers 

From 63c9f5937388fc9f87e9298e18f281d2b01d0f41 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 12:06:31 -0700
Subject: [PATCH 110/244] Allow team admins to add/update/delete models on UI +
 show api base and model id on request logs (#9572)

* feat(view_logs.tsx): show model id + api base in request logs

easier debugging

* fix(index.tsx): fix length of api base

easier viewing

* refactor(leftnav.tsx): show models tab to team admin

* feat(model_dashboard.tsx): add explainer for what the 'models' page is for team admin

helps them understand how they can use it

* feat(model_management_endpoints.py): restrict model add by team to just team admin

allow team admin to add models via non-team keys (e.g. ui token)

* test(test_add_update_models.py): update unit testing for new behaviour

* fix(model_dashboard.tsx): show user the models

* feat(proxy_server.py): add new query param 'user_models_only' to `/v2/model/info`

Allows user to retrieve just the models they've added

Used in UI to show internal users just the models they've added

* feat(model_dashboard.tsx): allow team admins to view their own models

* fix: allow ui user to fetch model cost map

* feat(add_model_tab.tsx): require team admins to specify team when onboarding models

* fix(_types.py): add `/v1/model/info` to info route

`/model/info` was already there

* fix(model_info_view.tsx): allow user to edit a model they created

* fix(model_management_endpoints.py): allow team admin to update team model

* feat(model_managament_endpoints.py): allow team admin to delete team models

* fix(model_management_endpoints.py): don't require team id to be set when adding a model

* fix(proxy_server.py): fix linting error

* fix: fix ui linting error

* fix(model_management_endpoints.py): ensure consistent auth checks on all model calls

* test: remove old test - function no longer exists in same form

* test: add updated mock testing
---
 litellm/proxy/_types.py                       |   4 +
 .../model_management_endpoints.py             | 170 ++++++++++++---
 litellm/proxy/proxy_server.py                 |  51 ++++-
 .../test_model_management_endpoints.py        | 196 ++++++++++++++++++
 tests/local_testing/test_add_update_models.py |  43 ----
 .../components/add_model/add_model_tab.tsx    |  25 +++
 .../add_model/advanced_settings.tsx           |   7 -
 .../src/components/leftnav.tsx                |   2 +-
 .../src/components/model_dashboard.tsx        | 103 +++++----
 .../src/components/model_info_view.tsx        |  12 +-
 .../src/components/networking.tsx             |  14 +-
 11 files changed, 483 insertions(+), 144 deletions(-)
 create mode 100644 tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index e6294baab8..6e242ddacb 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -292,6 +292,7 @@ class LiteLLMRoutes(enum.Enum):
         "/team/available",
         "/user/info",
         "/model/info",
+        "/v1/model/info",
         "/v2/model/info",
         "/v2/key/info",
         "/model_group/info",
@@ -386,6 +387,7 @@ class LiteLLMRoutes(enum.Enum):
         "/global/predict/spend/logs",
         "/global/activity",
         "/health/services",
+        "/get/litellm_model_cost_map",
     ] + info_routes
 
     internal_user_routes = [
@@ -412,6 +414,8 @@ class LiteLLMRoutes(enum.Enum):
         "/team/member_add",
         "/team/member_delete",
         "/model/new",
+        "/model/update",
+        "/model/delete",
     ]  # routes that manage their own allowed/disallowed logic
 
     ## Org Admin Routes ##
diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 2a2b7eae24..f83abe77be 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -13,7 +13,7 @@ model/{model_id}/update - PATCH endpoint for model update.
 import asyncio
 import json
 import uuid
-from typing import Optional, cast
+from typing import Literal, Optional, Union, cast
 
 from fastapi import APIRouter, Depends, HTTPException, Request, status
 from pydantic import BaseModel
@@ -23,6 +23,7 @@ from litellm.constants import LITELLM_PROXY_ADMIN_NAME
 from litellm.proxy._types import (
     CommonProxyErrors,
     LiteLLM_ProxyModelTable,
+    LiteLLM_TeamTable,
     LitellmTableNames,
     LitellmUserRoles,
     ModelInfoDelete,
@@ -35,6 +36,7 @@ from litellm.proxy._types import (
 )
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.common_utils.encrypt_decrypt_utils import encrypt_value_helper
+from litellm.proxy.management_endpoints.common_utils import _is_user_team_admin
 from litellm.proxy.management_endpoints.team_endpoints import (
     team_model_add,
     update_team,
@@ -317,22 +319,111 @@ async def _add_team_model_to_db(
     return model_response
 
 
-def check_if_team_id_matches_key(
-    team_id: Optional[str], user_api_key_dict: UserAPIKeyAuth
-) -> bool:
-    can_make_call = True
-    if (
-        user_api_key_dict.user_role
-        and user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN
-    ):
+class ModelManagementAuthChecks:
+    """
+    Common auth checks for model management endpoints
+    """
+
+    @staticmethod
+    def can_user_make_team_model_call(
+        team_id: str,
+        user_api_key_dict: UserAPIKeyAuth,
+        team_obj: Optional[LiteLLM_TeamTable] = None,
+        premium_user: bool = False,
+    ) -> Literal[True]:
+        if premium_user is False:
+            raise HTTPException(
+                status_code=403,
+                detail={"error": CommonProxyErrors.not_premium_user.value},
+            )
+        if (
+            user_api_key_dict.user_role
+            and user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN
+        ):
+            return True
+        elif team_obj is None or not _is_user_team_admin(
+            user_api_key_dict=user_api_key_dict, team_obj=team_obj
+        ):
+            raise HTTPException(
+                status_code=403,
+                detail={
+                    "error": "Team ID={} does not match the API key's team ID={}, OR you are not the admin for this team. Check `/user/info` to verify your team admin status.".format(
+                        team_id, user_api_key_dict.team_id
+                    )
+                },
+            )
+        return True
+
+    @staticmethod
+    async def allow_team_model_action(
+        model_params: Union[Deployment, updateDeployment],
+        user_api_key_dict: UserAPIKeyAuth,
+        prisma_client: PrismaClient,
+        premium_user: bool,
+    ) -> Literal[True]:
+        if model_params.model_info is None or model_params.model_info.team_id is None:
+            return True
+        if model_params.model_info.team_id is not None and premium_user is not True:
+            raise HTTPException(
+                status_code=403,
+                detail={"error": CommonProxyErrors.not_premium_user.value},
+            )
+
+        _existing_team_row = await prisma_client.db.litellm_teamtable.find_unique(
+            where={"team_id": model_params.model_info.team_id}
+        )
+
+        if _existing_team_row is None:
+            raise HTTPException(
+                status_code=400,
+                detail={
+                    "error": "Team id={} does not exist in db".format(
+                        model_params.model_info.team_id
+                    )
+                },
+            )
+        existing_team_row = LiteLLM_TeamTable(**_existing_team_row.model_dump())
+
+        ModelManagementAuthChecks.can_user_make_team_model_call(
+            team_id=model_params.model_info.team_id,
+            user_api_key_dict=user_api_key_dict,
+            team_obj=existing_team_row,
+            premium_user=premium_user,
+        )
+        return True
+
+    @staticmethod
+    async def can_user_make_model_call(
+        model_params: Union[Deployment, updateDeployment],
+        user_api_key_dict: UserAPIKeyAuth,
+        prisma_client: PrismaClient,
+        premium_user: bool,
+    ) -> Literal[True]:
+
+        ## Check team model auth
+        if (
+            model_params.model_info is not None
+            and model_params.model_info.team_id is not None
+        ):
+            return ModelManagementAuthChecks.can_user_make_team_model_call(
+                team_id=model_params.model_info.team_id,
+                user_api_key_dict=user_api_key_dict,
+                premium_user=premium_user,
+            )
+        ## Check non-team model auth
+        elif user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN:
+            raise HTTPException(
+                status_code=403,
+                detail={
+                    "error": "User does not have permission to make this model call. Your role={}. You can only make model calls if you are a PROXY_ADMIN or if you are a team admin, by specifying a team_id in the model_info.".format(
+                        user_api_key_dict.user_role
+                    )
+                },
+            )
+        else:
+            return True
+
         return True
-    if team_id is None:
-        if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN:
-            can_make_call = False
-    else:
-        if user_api_key_dict.team_id != team_id:
-            can_make_call = False
-    return can_make_call
 
 
 #### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/964
@@ -358,6 +449,7 @@ async def delete_model(
 
         from litellm.proxy.proxy_server import (
             llm_router,
+            premium_user,
             prisma_client,
             store_model_in_db,
         )
@@ -370,6 +462,23 @@ async def delete_model(
                 },
             )
 
+        model_in_db = await prisma_client.db.litellm_proxymodeltable.find_unique(
+            where={"model_id": model_info.id}
+        )
+        if model_in_db is None:
+            raise HTTPException(
+                status_code=400,
+                detail={"error": f"Model with id={model_info.id} not found in db"},
+            )
+
+        model_params = Deployment(**model_in_db.model_dump())
+        await ModelManagementAuthChecks.can_user_make_model_call(
+            model_params=model_params,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+            premium_user=premium_user,
+        )
+
         # update DB
         if store_model_in_db is True:
             """
@@ -464,19 +573,13 @@ async def add_new_model(
                 },
             )
 
-        if model_params.model_info.team_id is not None and premium_user is not True:
-            raise HTTPException(
-                status_code=403,
-                detail={"error": CommonProxyErrors.not_premium_user.value},
-            )
-
-        if not check_if_team_id_matches_key(
-            team_id=model_params.model_info.team_id, user_api_key_dict=user_api_key_dict
-        ):
-            raise HTTPException(
-                status_code=403,
-                detail={"error": "Team ID does not match the API key's team ID"},
-            )
+        ## Auth check
+        await ModelManagementAuthChecks.can_user_make_model_call(
+            model_params=model_params,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+            premium_user=premium_user,
+        )
 
         model_response: Optional[LiteLLM_ProxyModelTable] = None
         # update DB
@@ -593,6 +696,7 @@ async def update_model(
     from litellm.proxy.proxy_server import (
         LITELLM_PROXY_ADMIN_NAME,
         llm_router,
+        premium_user,
         prisma_client,
         store_model_in_db,
     )
@@ -606,6 +710,14 @@ async def update_model(
                     "error": "No DB Connected. Here's how to do it - https://docs.litellm.ai/docs/proxy/virtual_keys"
                 },
             )
+
+        await ModelManagementAuthChecks.can_user_make_model_call(
+            model_params=model_params,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+            premium_user=premium_user,
+        )
+
         # update DB
         if store_model_in_db is True:
             _model_id = None
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index c2044ac1d6..5d7e92fd73 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -215,7 +215,6 @@ from litellm.proxy.management_endpoints.key_management_endpoints import (
 from litellm.proxy.management_endpoints.model_management_endpoints import (
     _add_model_to_db,
     _add_team_model_to_db,
-    check_if_team_id_matches_key,
 )
 from litellm.proxy.management_endpoints.model_management_endpoints import (
     router as model_management_router,
@@ -5494,9 +5493,40 @@ async def transform_request(request: TransformRequestBody):
     return return_raw_request(endpoint=request.call_type, kwargs=request.request_body)
 
 
+async def _check_if_model_is_user_added(
+    models: List[Dict],
+    user_api_key_dict: UserAPIKeyAuth,
+    prisma_client: Optional[PrismaClient],
+) -> List[Dict]:
+    """
+    Check if model is in db
+
+    Check if db model is 'created_by' == user_api_key_dict.user_id
+
+    Only return models that match
+    """
+    if prisma_client is None:
+        raise HTTPException(
+            status_code=500,
+            detail={"error": CommonProxyErrors.db_not_connected_error.value},
+        )
+    filtered_models = []
+    for model in models:
+        id = model.get("model_info", {}).get("id", None)
+        if id is None:
+            continue
+        db_model = await prisma_client.db.litellm_proxymodeltable.find_unique(
+            where={"model_id": id}
+        )
+        if db_model is not None:
+            if db_model.created_by == user_api_key_dict.user_id:
+                filtered_models.append(model)
+    return filtered_models
+
+
 @router.get(
     "/v2/model/info",
-    description="v2 - returns all the models set on the config.yaml, shows 'user_access' = True if the user has access to the model. Provides more info about each model in /models, including config.yaml descriptions (except api key and api base)",
+    description="v2 - returns models available to the user based on their API key permissions. Shows model info from config.yaml (except api key and api base). Filter to just user-added models with ?user_models_only=true",
     tags=["model management"],
     dependencies=[Depends(user_api_key_auth)],
     include_in_schema=False,
@@ -5506,6 +5536,9 @@ async def model_info_v2(
     model: Optional[str] = fastapi.Query(
         None, description="Specify the model name (optional)"
     ),
+    user_models_only: Optional[bool] = fastapi.Query(
+        False, description="Only return models added by this user"
+    ),
     debug: Optional[bool] = False,
 ):
     """
@@ -5536,6 +5569,20 @@ async def model_info_v2(
     if model is not None:
         all_models = [m for m in all_models if m["model_name"] == model]
 
+    if user_models_only is True:
+        """
+        Check if model is in db
+
+        Check if db model is 'created_by' == user_api_key_dict.user_id
+
+        Only return models that match
+        """
+        all_models = await _check_if_model_is_user_added(
+            models=all_models,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+        )
+
     # fill in model info based on config.yaml and litellm model_prices_and_context_window.json
     for _model in all_models:
         # provided model_info in config.yaml
diff --git a/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py
new file mode 100644
index 0000000000..49e3150e61
--- /dev/null
+++ b/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -0,0 +1,196 @@
+import json
+import os
+import sys
+from typing import Optional
+
+import pytest
+from fastapi.testclient import TestClient
+
+sys.path.insert(
+    0, os.path.abspath("../../../..")
+)  # Adds the parent directory to the system path
+from litellm.proxy._types import (
+    LiteLLM_TeamTable,
+    LitellmUserRoles,
+    Member,
+    UserAPIKeyAuth,
+)
+from litellm.proxy.management_endpoints.model_management_endpoints import (
+    ModelManagementAuthChecks,
+)
+from litellm.proxy.utils import PrismaClient
+from litellm.types.router import Deployment, LiteLLM_Params, updateDeployment
+
+
+class MockPrismaClient:
+    def __init__(self, team_exists: bool = True):
+        self.team_exists = team_exists
+        self.db = self
+
+    async def find_unique(self, where):
+        if self.team_exists:
+            return LiteLLM_TeamTable(
+                team_id=where["team_id"],
+                team_alias="test_team",
+                members_with_roles=[Member(user_id="test_user", role="admin")],
+            )
+        return None
+
+    @property
+    def litellm_teamtable(self):
+        return self
+
+
+class TestModelManagementAuthChecks:
+    def setup_method(self):
+        """Setup test cases"""
+        self.admin_user = UserAPIKeyAuth(
+            user_id="test_admin", user_role=LitellmUserRoles.PROXY_ADMIN
+        )
+
+        self.normal_user = UserAPIKeyAuth(
+            user_id="test_user", user_role=LitellmUserRoles.INTERNAL_USER
+        )
+
+        self.team_admin_user = UserAPIKeyAuth(
+            user_id="test_user",
+            team_id="test_team",
+            user_role=LitellmUserRoles.INTERNAL_USER,
+        )
+
+    @pytest.mark.asyncio
+    async def test_can_user_make_team_model_call_admin_success(self):
+        """Test that admin users can make team model calls"""
+        result = ModelManagementAuthChecks.can_user_make_team_model_call(
+            team_id="test_team", user_api_key_dict=self.admin_user, premium_user=True
+        )
+        assert result is True
+
+    @pytest.mark.asyncio
+    async def test_can_user_make_team_model_call_non_premium_fails(self):
+        """Test that non-premium users cannot make team model calls"""
+        with pytest.raises(Exception) as exc_info:
+            ModelManagementAuthChecks.can_user_make_team_model_call(
+                team_id="test_team",
+                user_api_key_dict=self.admin_user,
+                premium_user=False,
+            )
+        assert "403" in str(exc_info.value)
+
+    @pytest.mark.asyncio
+    async def test_can_user_make_team_model_call_team_admin_success(self):
+        """Test that team admins can make calls for their team"""
+        team_obj = LiteLLM_TeamTable(
+            team_id="test_team",
+            team_alias="test_team",
+            members_with_roles=[
+                Member(user_id=self.team_admin_user.user_id, role="admin")
+            ],
+        )
+
+        result = ModelManagementAuthChecks.can_user_make_team_model_call(
+            team_id="test_team",
+            user_api_key_dict=self.team_admin_user,
+            team_obj=team_obj,
+            premium_user=True,
+        )
+        assert result is True
+
+    @pytest.mark.asyncio
+    async def test_allow_team_model_action_success(self):
+        """Test successful team model action"""
+        model_params = Deployment(
+            model_name="test_model",
+            litellm_params=LiteLLM_Params(model="test_model", team_id="test_team"),
+            model_info={"team_id": "test_team"},
+        )
+        prisma_client = MockPrismaClient(team_exists=True)
+
+        result = await ModelManagementAuthChecks.allow_team_model_action(
+            model_params=model_params,
+            user_api_key_dict=self.admin_user,
+            prisma_client=prisma_client,
+            premium_user=True,
+        )
+        assert result is True
+
+    @pytest.mark.asyncio
+    async def test_allow_team_model_action_non_premium_fails(self):
+        """Test team model action fails for non-premium users"""
+        model_params = Deployment(
+            model_name="test_model",
+            litellm_params=LiteLLM_Params(model="test_model", team_id="test_team"),
+            model_info={"team_id": "test_team"},
+        )
+        prisma_client = MockPrismaClient(team_exists=True)
+
+        with pytest.raises(Exception) as exc_info:
+            await ModelManagementAuthChecks.allow_team_model_action(
+                model_params=model_params,
+                user_api_key_dict=self.admin_user,
+                prisma_client=prisma_client,
+                premium_user=False,
+            )
+        assert "403" in str(exc_info.value)
+
+    @pytest.mark.asyncio
+    async def test_allow_team_model_action_nonexistent_team_fails(self):
+        """Test team model action fails for non-existent team"""
+        model_params = Deployment(
+            model_name="test_model",
+            litellm_params=LiteLLM_Params(
+                model="test_model",
+            ),
+            model_info={"team_id": "nonexistent_team"},
+        )
+        prisma_client = MockPrismaClient(team_exists=False)
+
+        with pytest.raises(Exception) as exc_info:
+            await ModelManagementAuthChecks.allow_team_model_action(
+                model_params=model_params,
+                user_api_key_dict=self.admin_user,
+                prisma_client=prisma_client,
+                premium_user=True,
+            )
+        assert "400" in str(exc_info.value)
+
+    @pytest.mark.asyncio
+    async def test_can_user_make_model_call_admin_success(self):
+        """Test that admin users can make any model call"""
+        model_params = Deployment(
+            model_name="test_model",
+            litellm_params=LiteLLM_Params(
+                model="test_model",
+            ),
+            model_info={"team_id": "test_team"},
+        )
+        prisma_client = MockPrismaClient()
+
+        result = await ModelManagementAuthChecks.can_user_make_model_call(
+            model_params=model_params,
+            user_api_key_dict=self.admin_user,
+            prisma_client=prisma_client,
+            premium_user=True,
+        )
+        assert result is True
+
+    @pytest.mark.asyncio
+    async def test_can_user_make_model_call_normal_user_fails(self):
+        """Test that normal users cannot make model calls"""
+        model_params = Deployment(
+            model_name="test_model",
+            litellm_params=LiteLLM_Params(
+                model="test_model",
+            ),
+            model_info={"team_id": "test_team"},
+        )
+        prisma_client = MockPrismaClient()
+
+        with pytest.raises(Exception) as exc_info:
+            await ModelManagementAuthChecks.can_user_make_model_call(
+                model_params=model_params,
+                user_api_key_dict=self.normal_user,
+                prisma_client=prisma_client,
+                premium_user=True,
+            )
+        assert "403" in str(exc_info.value)
diff --git a/tests/local_testing/test_add_update_models.py b/tests/local_testing/test_add_update_models.py
index 1ea714d9b7..163687c1c2 100644
--- a/tests/local_testing/test_add_update_models.py
+++ b/tests/local_testing/test_add_update_models.py
@@ -110,49 +110,6 @@ async def test_add_new_model(prisma_client):
     assert _new_model_in_db is not None
 
 
-@pytest.mark.parametrize(
-    "team_id, key_team_id, user_role, expected_result",
-    [
-        ("1234", "1234", LitellmUserRoles.PROXY_ADMIN.value, True),
-        (
-            "1234",
-            "1235",
-            LitellmUserRoles.PROXY_ADMIN.value,
-            True,
-        ),  # proxy admin can add models for any team
-        (None, "1234", LitellmUserRoles.PROXY_ADMIN.value, True),
-        (None, None, LitellmUserRoles.PROXY_ADMIN.value, True),
-        (
-            "1234",
-            "1234",
-            LitellmUserRoles.INTERNAL_USER.value,
-            True,
-        ),  # internal users can add models for their team
-        ("1234", "1235", LitellmUserRoles.INTERNAL_USER.value, False),
-        (None, "1234", LitellmUserRoles.INTERNAL_USER.value, False),
-        (
-            None,
-            None,
-            LitellmUserRoles.INTERNAL_USER.value,
-            False,
-        ),  # internal users cannot add models by default
-    ],
-)
-def test_can_add_model(team_id, key_team_id, user_role, expected_result):
-    from litellm.proxy.proxy_server import check_if_team_id_matches_key
-
-    args = {
-        "team_id": team_id,
-        "user_api_key_dict": UserAPIKeyAuth(
-            user_role=user_role,
-            api_key="sk-1234",
-            team_id=key_team_id,
-        ),
-    }
-
-    assert check_if_team_id_matches_key(**args) is expected_result
-
-
 @pytest.mark.asyncio
 @pytest.mark.skip(reason="new feature, tests passing locally")
 async def test_add_update_model(prisma_client):
diff --git a/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
index e2115e8467..1e0a2316df 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
@@ -13,6 +13,8 @@ import ConnectionErrorDisplay from "./model_connection_test";
 import { TEST_MODES } from "./add_model_modes";
 import { Row, Col } from "antd";
 import { Text, TextInput } from "@tremor/react";
+import TeamDropdown from "../common_components/team_dropdown";
+import { all_admin_roles } from "@/utils/roles";
 
 interface AddModelTabProps {
   form: FormInstance;
@@ -28,6 +30,7 @@ interface AddModelTabProps {
   teams: Team[] | null;
   credentials: CredentialItem[];
   accessToken: string;
+  userRole: string;
 }
 
 const { Title, Link } = Typography;
@@ -46,6 +49,7 @@ const AddModelTab: React.FC<AddModelTabProps> = ({
   teams,
   credentials,
   accessToken,
+  userRole,
 }) => {
   // State for test mode and connection testing
   const [testMode, setTestMode] = useState<string>("chat");
@@ -64,6 +68,8 @@ const AddModelTab: React.FC<AddModelTabProps> = ({
     setIsResultModalVisible(true);
   };
 
+  const isAdmin = all_admin_roles.includes(userRole);
+
   return (
     <>
       <Title level={2}>Add new model</Title>
@@ -217,6 +223,25 @@ const AddModelTab: React.FC<AddModelTabProps> = ({
                 );
               }}
             </Form.Item>
+            <div className="flex items-center my-4">
+              <div className="flex-grow border-t border-gray-200"></div>
+              <span className="px-4 text-gray-500 text-sm">Team Settings</span>
+              <div className="flex-grow border-t border-gray-200"></div>
+            </div>
+            <Form.Item
+              label="Team"
+              name="team_id"
+              className="mb-4"
+              tooltip="Only keys for this team, will be able to call this model."
+              rules={[
+                {
+                  required: !isAdmin, // Required if not admin
+                  message: 'Please select a team.'
+                }
+              ]}
+            >
+              <TeamDropdown teams={teams} />
+            </Form.Item>
             <AdvancedSettings 
               showAdvancedSettings={showAdvancedSettings}
               setShowAdvancedSettings={setShowAdvancedSettings}
diff --git a/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx b/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
index 72c9cdc4a8..b887f58fd5 100644
--- a/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
@@ -91,13 +91,6 @@ const AdvancedSettings: React.FC<AdvancedSettingsProps> = ({
         </AccordionHeader>
         <AccordionBody>
           <div className="bg-white rounded-lg">
-            <Form.Item
-              label="Team"
-              name="team_id"
-              className="mb-4"
-            >
-              <TeamDropdown teams={teams} />
-            </Form.Item>
 
             <Form.Item
               label="Custom Pricing"
diff --git a/ui/litellm-dashboard/src/components/leftnav.tsx b/ui/litellm-dashboard/src/components/leftnav.tsx
index 9438fa496a..1dc2d089b4 100644
--- a/ui/litellm-dashboard/src/components/leftnav.tsx
+++ b/ui/litellm-dashboard/src/components/leftnav.tsx
@@ -47,7 +47,7 @@ interface MenuItem {
 const menuItems: MenuItem[] = [
   { key: "1", page: "api-keys", label: "Virtual Keys", icon: <KeyOutlined /> },
   { key: "3", page: "llm-playground", label: "Test Key", icon: <PlayCircleOutlined />, roles: rolesWithWriteAccess },
-  { key: "2", page: "models", label: "Models", icon: <BlockOutlined />, roles: all_admin_roles },
+  { key: "2", page: "models", label: "Models", icon: <BlockOutlined />, roles: rolesWithWriteAccess },
   { key: "4", page: "usage", label: "Usage", icon: <BarChartOutlined /> },
   { key: "6", page: "teams", label: "Teams", icon: <TeamOutlined /> },
   { key: "17", page: "organizations", label: "Organizations", icon: <BankOutlined />, roles: all_admin_roles },
diff --git a/ui/litellm-dashboard/src/components/model_dashboard.tsx b/ui/litellm-dashboard/src/components/model_dashboard.tsx
index 1e80e2250e..493f9ba426 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard.tsx
@@ -111,6 +111,7 @@ import ModelInfoView from "./model_info_view";
 import AddModelTab from "./add_model/add_model_tab";
 import { ModelDataTable } from "./model_dashboard/table";
 import { columns } from "./model_dashboard/columns";
+import { all_admin_roles } from "@/utils/roles";
 
 interface ModelDashboardProps {
   accessToken: string | null;
@@ -479,9 +480,6 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
     }
     const fetchData = async () => {
       try {
-        const _providerSettings = await modelSettingsCall(accessToken);
-        setProviderSettings(_providerSettings);
-
         // Replace with your actual API call for model data
         const modelDataResponse = await modelInfoCall(
           accessToken,
@@ -490,6 +488,12 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
         );
         console.log("Model data response:", modelDataResponse.data);
         setModelData(modelDataResponse);
+        const _providerSettings = await modelSettingsCall(accessToken);
+        if (_providerSettings) {
+          setProviderSettings(_providerSettings);
+        }
+
+        
 
         // loop through modelDataResponse and get all`model_name` values
         let all_model_groups: Set<string> = new Set();
@@ -1001,7 +1005,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
   );
 
   let dynamicProviderForm: ProviderSettings | undefined = undefined;
-  if (providerKey) {
+  if (providerKey && providerSettings) {
     dynamicProviderForm = providerSettings.find(
       (provider) => provider.name === provider_map[providerKey]
     );
@@ -1055,16 +1059,17 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
         />
       ) : (
         <TabGroup className="gap-2 p-8 h-[75vh] w-full mt-2">
+          
           <TabList className="flex justify-between mt-2 w-full items-center">
             <div className="flex">
-              <Tab>All Models</Tab>
+              {all_admin_roles.includes(userRole) ? <Tab>All Models</Tab> : <Tab>Your Models</Tab>}
               <Tab>Add Model</Tab>
-              <Tab>LLM Credentials</Tab>
-              <Tab>
+              {all_admin_roles.includes(userRole) && <Tab>LLM Credentials</Tab>}
+              {all_admin_roles.includes(userRole) && <Tab>
                 <pre>/health Models</pre>
-              </Tab>
-              <Tab>Model Analytics</Tab>
-              <Tab>Model Retry Settings</Tab>
+              </Tab>}
+              {all_admin_roles.includes(userRole) && <Tab>Model Analytics</Tab>}
+              {all_admin_roles.includes(userRole) && <Tab>Model Retry Settings</Tab>}
               
             </div>
 
@@ -1081,26 +1086,25 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
           </TabList>
           <TabPanels>
             <TabPanel>
-              <Grid>
-                <div className="flex items-center">
-                  <Text>Filter by Public Model Name</Text>
+              <div className="flex justify-between items-center mb-6">
+                {/* Left side - Title and description */}
+                <div>
+                  <Title>Model Management</Title>
+                  {!all_admin_roles.includes(userRole) && <Text className="text-tremor-content">
+                    Add models for teams you are an admin for.
+                  </Text>}
+                </div>
+
+                {/* Right side - Filter */}
+                <div className="flex items-center gap-2">
+                  <Text>Filter by Public Model Name:</Text>
                   <Select
-                    className="mb-4 mt-2 ml-2 w-50"
-                    defaultValue={
-                      selectedModelGroup
-                        ? selectedModelGroup
-                        : undefined
-                    }
-                    onValueChange={(value) =>
-                      setSelectedModelGroup(value === "all" ? "all" : value)
-                    }
-                    value={
-                      selectedModelGroup
-                        ? selectedModelGroup
-                        : undefined
-                    }
+                    className="w-64"
+                    defaultValue={selectedModelGroup ?? "all"}
+                    onValueChange={(value) => setSelectedModelGroup(value === "all" ? "all" : value)}
+                    value={selectedModelGroup ?? "all"}
                   >
-                    <SelectItem value={"all"}>All Models</SelectItem>
+                    <SelectItem value="all">All Models</SelectItem>
                     {availableModelGroups.map((group, idx) => (
                       <SelectItem
                         key={idx}
@@ -1112,30 +1116,24 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
                     ))}
                   </Select>
                 </div>
-                  <ModelDataTable
-                    columns={columns(
-                      premiumUser,
-                      setSelectedModelId,
-                      setSelectedTeamId,
-                      getDisplayModelName,
-                      handleEditClick,
-                      handleRefreshClick,
-                      setEditModel
-                    )}
-                    data={modelData.data.filter(
-                      (model: any) =>
-                        selectedModelGroup === "all" ||
-                        model.model_name === selectedModelGroup ||
-                        !selectedModelGroup
-                    )}
-                    isLoading={false} // Add loading state if needed
-                  />
-              </Grid>
-              <EditModelModal
-                visible={editModalVisible}
-                onCancel={handleEditCancel}
-                model={selectedModel}
-                onSubmit={(data: FormData) => handleEditModelSubmit(data, accessToken, setEditModalVisible, setSelectedModel)}
+              </div>
+              <ModelDataTable
+                columns={columns(
+                  premiumUser,
+                  setSelectedModelId,
+                  setSelectedTeamId,
+                  getDisplayModelName,
+                  handleEditClick,
+                  handleRefreshClick,
+                  setEditModel
+                )}
+                data={modelData.data.filter(
+                  (model: any) =>
+                    selectedModelGroup === "all" ||
+                    model.model_name === selectedModelGroup ||
+                    !selectedModelGroup
+                )}
+                isLoading={false} // Add loading state if needed
               />
             </TabPanel>
             <TabPanel className="h-full">
@@ -1153,6 +1151,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
                 teams={teams}
                 credentials={credentialsList}
                 accessToken={accessToken}
+                userRole={userRole}
               />
             </TabPanel>
             <TabPanel>
diff --git a/ui/litellm-dashboard/src/components/model_info_view.tsx b/ui/litellm-dashboard/src/components/model_info_view.tsx
index 2d05e185c1..7a1c9a7abc 100644
--- a/ui/litellm-dashboard/src/components/model_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/model_info_view.tsx
@@ -58,7 +58,7 @@ export default function ModelInfoView({
   const [isEditing, setIsEditing] = useState(false);
   const [existingCredential, setExistingCredential] = useState<CredentialItem | null>(null);
 
-  const canEditModel = userRole === "Admin";
+  const canEditModel = userRole === "Admin" || modelData.model_info.created_by === userID;
   const isAdmin = userRole === "Admin";
 
   const usingExistingCredential = modelData.litellm_params?.litellm_credential_name != null && modelData.litellm_params?.litellm_credential_name != undefined;
@@ -209,8 +209,8 @@ export default function ModelInfoView({
           <Title>Public Model Name: {getDisplayModelName(modelData)}</Title>
           <Text className="text-gray-500 font-mono">{modelData.model_info.id}</Text>
         </div>
-        {isAdmin && (
-          <div className="flex gap-2">
+        <div className="flex gap-2">
+          {isAdmin && (
             <TremorButton
               icon={KeyIcon}
               variant="secondary"
@@ -219,6 +219,8 @@ export default function ModelInfoView({
             >
               Re-use Credentials
             </TremorButton>
+          )}
+          {canEditModel && (
             <TremorButton
               icon={TrashIcon}
               variant="secondary"
@@ -227,8 +229,8 @@ export default function ModelInfoView({
             >
               Delete Model
             </TremorButton>
-          </div>
-        )}
+          )}
+        </div>
       </div>
 
       <TabGroup>
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index cf0b9ec5dc..fbe0374e34 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -1,6 +1,7 @@
 /**
  * Helper file for calls being made to proxy
  */
+import { all_admin_roles } from "@/utils/roles";
 import { message } from "antd";
 
 const isLocal = process.env.NODE_ENV === "development";
@@ -131,9 +132,9 @@ export const modelCreateCall = async (
     });
 
     if (!response.ok) {
-      const errorData = await response.json();
+      const errorData = await response.text();
       const errorMsg =
-        errorData.error?.message?.error ||
+        errorData||    
         "Network response was not ok";
       message.error(errorMsg);
       throw new Error(errorMsg);
@@ -183,9 +184,8 @@ export const modelSettingsCall = async (accessToken: String) => {
     //message.info("Received model data");
     return data;
     // Handle success - you might want to update some state or UI based on the created key
-  } catch (error) {
-    console.error("Failed to get callbacks:", error);
-    throw error;
+  } catch (error: any) {
+    console.error("Failed to get model settings:", error);
   }
 };
 
@@ -1213,8 +1213,12 @@ export const modelInfoCall = async (
    * Get all models on proxy
    */
   try {
+    console.log("modelInfoCall:", accessToken, userID, userRole);
     let url = proxyBaseUrl ? `${proxyBaseUrl}/v2/model/info` : `/v2/model/info`;
 
+    if (!all_admin_roles.includes(userRole as string)) { // only show users models they've added
+      url += `?user_models_only=true`;
+    }
     //message.info("Requesting model data");
     const response = await fetch(url, {
       method: "GET",

From f1fa0044cb1ee6b88f3bdfb199ddd018e6d39e54 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 12:07:17 -0700
Subject: [PATCH 111/244] =?UTF-8?q?bump:=20version=201.64.1=20=E2=86=92=20?=
 =?UTF-8?q?1.65.0?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 7aed9c3e3c..c3b0fd3224 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.64.1"
+version = "1.65.0"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -105,7 +105,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.64.1"
+version = "1.65.0"
 version_files = [
     "pyproject.toml:^version"
 ]

From f1f40eba3f06074e2d747ac54158410b0a323df8 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 12:14:29 -0700
Subject: [PATCH 112/244] docs(index.md): document new team model flow

---
 .../img/release_notes/team_model_add.png      | Bin 0 -> 71649 bytes
 .../my-website/release_notes/v1.65.0/index.md |  34 ++++++++++++++++++
 2 files changed, 34 insertions(+)
 create mode 100644 docs/my-website/img/release_notes/team_model_add.png
 create mode 100644 docs/my-website/release_notes/v1.65.0/index.md

diff --git a/docs/my-website/img/release_notes/team_model_add.png b/docs/my-website/img/release_notes/team_model_add.png
new file mode 100644
index 0000000000000000000000000000000000000000..f548469846b6c9de11d81629be55bdc8a721c5ac
GIT binary patch
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HcmV?d00001

diff --git a/docs/my-website/release_notes/v1.65.0/index.md b/docs/my-website/release_notes/v1.65.0/index.md
new file mode 100644
index 0000000000..46525ea55f
--- /dev/null
+++ b/docs/my-website/release_notes/v1.65.0/index.md
@@ -0,0 +1,34 @@
+---
+title: v1.65.0 - Team Model Add - update
+slug: v1.65.0
+date: 2025-03-28T10:00:00
+authors:
+  - name: Krrish Dholakia
+    title: CEO, LiteLLM
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1743638400&v=beta&t=39KOXMUFedvukiWWVPHf3qI45fuQD7lNglICwN31DrI
+  - name: Ishaan Jaffer
+    title: CTO, LiteLLM
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+tags: [management endpoints, team models, ui]
+hide_table_of_contents: false
+---
+
+import Image from '@theme/IdealImage';
+
+v1.65.0 updates the `/model/new` endpoint to prevent non-team admins from creating team models.
+
+This means that only proxy admins or team admins can create team models.
+
+## Additional Changes
+
+- Allows team admins to call `/model/update` to update team models.
+- Allows team admins to call `/model/delete` to delete team models.
+- Introduces new `user_models_only` param to `/v2/model/info` - only return models added by this user.
+
+
+These changes enable team admins to add and manage models for their team on the LiteLLM UI + API.
+
+
+<Image img={require('../../img/release_notes/team_model_add.png')} />
\ No newline at end of file

From 11838e1c3bd93025a2d591b068d18df1849ceb44 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 14:50:41 -0700
Subject: [PATCH 113/244] Litellm fix db testing (#9593)

* ci: fix test

* test: safely change db url

* fix: print db url

* test: remove delenv
---
 .circleci/config.yml                               | 6 ++++++
 tests/proxy_unit_tests/test_db_schema_migration.py | 4 ++--
 tests/proxy_unit_tests/test_key_generate_prisma.py | 2 ++
 3 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 91636c5625..e1488a9083 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -500,6 +500,12 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
+      - run:
+          name: Install PostgreSQL
+          command: |
+            sudo apt-get update
+            sudo apt-get install postgresql postgresql-contrib
+            echo 'export PATH=/usr/lib/postgresql/*/bin:$PATH' >> $BASH_ENV
       - setup_google_dns
       - run:
           name: Show git commit hash
diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
index 59367aa9cb..47125e86a7 100644
--- a/tests/proxy_unit_tests/test_db_schema_migration.py
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -17,12 +17,12 @@ def schema_setup(postgresql_my):
     return postgresql_my
 
 
-def test_schema_migration_check(schema_setup):
+def test_aaaasschema_migration_check(schema_setup, monkeypatch):
     """Test to check if schema requires migration"""
     # Set test database URL
     test_db_url = f"postgresql://{schema_setup.info.user}:@{schema_setup.info.host}:{schema_setup.info.port}/{schema_setup.info.dbname}"
     # test_db_url = "postgresql://neondb_owner:npg_JiZPS0DAhRn4@ep-delicate-wave-a55cvbuc.us-east-2.aws.neon.tech/neondb?sslmode=require"
-    os.environ["DATABASE_URL"] = test_db_url
+    monkeypatch.setenv("DATABASE_URL", test_db_url)
 
     deploy_dir = Path("./deploy")
     source_migrations_dir = deploy_dir / "migrations"
diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index f922b2c27f..bbfa5b1c11 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -3286,6 +3286,7 @@ async def test_aadmin_only_routes(prisma_client):
     only an admin should be able to access admin only routes
     """
     litellm.set_verbose = True
+    print(f"os.getenv('DATABASE_URL')={os.getenv('DATABASE_URL')}")
     setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
     setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
     await litellm.proxy.proxy_server.prisma_client.connect()
@@ -3882,6 +3883,7 @@ async def test_get_paginated_teams(prisma_client):
 
 
 @pytest.mark.asyncio
+@pytest.mark.flaky(reruns=3)
 @pytest.mark.parametrize("entity_type", ["key", "user", "team"])
 async def test_reset_budget_job(prisma_client, entity_type):
     """

From 21e3b764f570bdf23ebca9afda4875f83503f643 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 16:31:23 -0700
Subject: [PATCH 114/244] use DBSpendUpdateWriter class for managing DB spend
 updates

---
 litellm/proxy/db/db_spend_update_writer.py    | 233 ++++++++++++++++++
 .../proxy/hooks/proxy_track_cost_callback.py  |   8 +-
 litellm/proxy/proxy_server.py                 | 221 +----------------
 .../hooks/test_proxy_track_cost_callback.py   |   3 +-
 .../test_unit_test_proxy_hooks.py             |  13 +-
 5 files changed, 255 insertions(+), 223 deletions(-)
 create mode 100644 litellm/proxy/db/db_spend_update_writer.py

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
new file mode 100644
index 0000000000..d5f2ef5228
--- /dev/null
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -0,0 +1,233 @@
+import asyncio
+import os
+import traceback
+from datetime import datetime
+from typing import Any, Optional, Union
+
+import litellm
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import LiteLLM_UserTable, SpendLogsPayload
+from litellm.proxy.proxy_server import hash_token
+from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
+from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend
+
+
+class DBSpendUpdateWriter:
+
+    @staticmethod
+    async def update_database(  # noqa: PLR0915
+        # LiteLLM management object fields
+        token: Optional[str],
+        user_id: Optional[str],
+        end_user_id: Optional[str],
+        team_id: Optional[str],
+        org_id: Optional[str],
+        # Completion object fields
+        kwargs: Optional[dict],
+        completion_response: Optional[Union[litellm.ModelResponse, Any, Exception]],
+        start_time: Optional[datetime],
+        end_time: Optional[datetime],
+        response_cost: Optional[float],
+    ):
+        from litellm.proxy.proxy_server import (
+            disable_spend_logs,
+            litellm_proxy_budget_name,
+            prisma_client,
+            user_api_key_cache,
+        )
+
+        try:
+            verbose_proxy_logger.debug(
+                f"Enters prisma db call, response_cost: {response_cost}, token: {token}; user_id: {user_id}; team_id: {team_id}"
+            )
+            if ProxyUpdateSpend.disable_spend_updates() is True:
+                return
+            if token is not None and isinstance(token, str) and token.startswith("sk-"):
+                hashed_token = hash_token(token=token)
+            else:
+                hashed_token = token
+
+            ### UPDATE USER SPEND ###
+            async def _update_user_db():
+                """
+                - Update that user's row
+                - Update litellm-proxy-budget row (global proxy spend)
+                """
+                ## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db
+                existing_user_obj = await user_api_key_cache.async_get_cache(
+                    key=user_id
+                )
+                if existing_user_obj is not None and isinstance(
+                    existing_user_obj, dict
+                ):
+                    existing_user_obj = LiteLLM_UserTable(**existing_user_obj)
+                try:
+                    if prisma_client is not None:  # update
+                        user_ids = [user_id]
+                        if (
+                            litellm.max_budget > 0
+                        ):  # track global proxy budget, if user set max budget
+                            user_ids.append(litellm_proxy_budget_name)
+                        ### KEY CHANGE ###
+                        for _id in user_ids:
+                            if _id is not None:
+                                prisma_client.user_list_transactons[_id] = (
+                                    response_cost
+                                    + prisma_client.user_list_transactons.get(_id, 0)
+                                )
+                        if end_user_id is not None:
+                            prisma_client.end_user_list_transactons[end_user_id] = (
+                                response_cost
+                                + prisma_client.end_user_list_transactons.get(
+                                    end_user_id, 0
+                                )
+                            )
+                except Exception as e:
+                    verbose_proxy_logger.info(
+                        "\033[91m"
+                        + f"Update User DB call failed to execute {str(e)}\n{traceback.format_exc()}"
+                    )
+
+            ### UPDATE KEY SPEND ###
+            async def _update_key_db():
+                try:
+                    verbose_proxy_logger.debug(
+                        f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}."
+                    )
+                    if hashed_token is None:
+                        return
+                    if prisma_client is not None:
+                        prisma_client.key_list_transactons[hashed_token] = (
+                            response_cost
+                            + prisma_client.key_list_transactons.get(hashed_token, 0)
+                        )
+                except Exception as e:
+                    verbose_proxy_logger.exception(
+                        f"Update Key DB Call failed to execute - {str(e)}"
+                    )
+                    raise e
+
+            ### UPDATE SPEND LOGS ###
+            async def _insert_spend_log_to_db():
+                try:
+                    if prisma_client:
+                        payload = get_logging_payload(
+                            kwargs=kwargs,
+                            response_obj=completion_response,
+                            start_time=start_time,
+                            end_time=end_time,
+                        )
+                        payload["spend"] = response_cost or 0.0
+                        DBSpendUpdateWriter._set_spend_logs_payload(
+                            payload=payload,
+                            spend_logs_url=os.getenv("SPEND_LOGS_URL"),
+                            prisma_client=prisma_client,
+                        )
+                except Exception as e:
+                    verbose_proxy_logger.debug(
+                        f"Update Spend Logs DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+                    )
+                    raise e
+
+            ### UPDATE TEAM SPEND ###
+            async def _update_team_db():
+                try:
+                    verbose_proxy_logger.debug(
+                        f"adding spend to team db. Response cost: {response_cost}. team_id: {team_id}."
+                    )
+                    if team_id is None:
+                        verbose_proxy_logger.debug(
+                            "track_cost_callback: team_id is None. Not tracking spend for team"
+                        )
+                        return
+                    if prisma_client is not None:
+                        prisma_client.team_list_transactons[team_id] = (
+                            response_cost
+                            + prisma_client.team_list_transactons.get(team_id, 0)
+                        )
+
+                        try:
+                            # Track spend of the team member within this team
+                            # key is "team_id::<value>::user_id::<value>"
+                            team_member_key = f"team_id::{team_id}::user_id::{user_id}"
+                            prisma_client.team_member_list_transactons[
+                                team_member_key
+                            ] = (
+                                response_cost
+                                + prisma_client.team_member_list_transactons.get(
+                                    team_member_key, 0
+                                )
+                            )
+                        except Exception:
+                            pass
+                except Exception as e:
+                    verbose_proxy_logger.info(
+                        f"Update Team DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+                    )
+                    raise e
+
+            ### UPDATE ORG SPEND ###
+            async def _update_org_db():
+                try:
+                    verbose_proxy_logger.debug(
+                        "adding spend to org db. Response cost: {}. org_id: {}.".format(
+                            response_cost, org_id
+                        )
+                    )
+                    if org_id is None:
+                        verbose_proxy_logger.debug(
+                            "track_cost_callback: org_id is None. Not tracking spend for org"
+                        )
+                        return
+                    if prisma_client is not None:
+                        prisma_client.org_list_transactons[org_id] = (
+                            response_cost
+                            + prisma_client.org_list_transactons.get(org_id, 0)
+                        )
+                except Exception as e:
+                    verbose_proxy_logger.info(
+                        f"Update Org DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+                    )
+                    raise e
+
+            asyncio.create_task(_update_user_db())
+            asyncio.create_task(_update_key_db())
+            asyncio.create_task(_update_team_db())
+            asyncio.create_task(_update_org_db())
+            if disable_spend_logs is False:
+                await _insert_spend_log_to_db()
+            else:
+                verbose_proxy_logger.info(
+                    "disable_spend_logs=True. Skipping writing spend logs to db. Other spend updates - Key/User/Team table will still occur."
+                )
+
+            verbose_proxy_logger.debug("Runs spend update on all tables")
+        except Exception:
+            verbose_proxy_logger.debug(
+                f"Error updating Prisma database: {traceback.format_exc()}"
+            )
+
+    @staticmethod
+    def _set_spend_logs_payload(
+        payload: Union[dict, SpendLogsPayload],
+        prisma_client: PrismaClient,
+        spend_logs_url: Optional[str] = None,
+    ) -> PrismaClient:
+        verbose_proxy_logger.info(
+            "Writing spend log to db - request_id: {}, spend: {}".format(
+                payload.get("request_id"), payload.get("spend")
+            )
+        )
+        if prisma_client is not None and spend_logs_url is not None:
+            if isinstance(payload["startTime"], datetime):
+                payload["startTime"] = payload["startTime"].isoformat()
+            if isinstance(payload["endTime"], datetime):
+                payload["endTime"] = payload["endTime"].isoformat()
+            prisma_client.spend_log_transactions.append(payload)
+        elif prisma_client is not None:
+            prisma_client.spend_log_transactions.append(payload)
+
+        prisma_client.add_spend_log_transaction_to_daily_user_transaction(
+            payload.copy()
+        )
+        return prisma_client
diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py
index e8a947329d..f205b0146f 100644
--- a/litellm/proxy/hooks/proxy_track_cost_callback.py
+++ b/litellm/proxy/hooks/proxy_track_cost_callback.py
@@ -13,6 +13,7 @@ from litellm.litellm_core_utils.core_helpers import (
 from litellm.litellm_core_utils.litellm_logging import StandardLoggingPayloadSetup
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.auth_checks import log_db_metrics
+from litellm.proxy.db.db_spend_update_writer import DBSpendUpdateWriter
 from litellm.proxy.utils import ProxyUpdateSpend
 from litellm.types.utils import (
     StandardLoggingPayload,
@@ -33,8 +34,6 @@ class _ProxyDBLogger(CustomLogger):
         original_exception: Exception,
         user_api_key_dict: UserAPIKeyAuth,
     ):
-        from litellm.proxy.proxy_server import update_database
-
         if _ProxyDBLogger._should_track_errors_in_db() is False:
             return
 
@@ -67,7 +66,7 @@ class _ProxyDBLogger(CustomLogger):
             request_data.get("proxy_server_request") or {}
         )
         request_data["litellm_params"]["metadata"] = existing_metadata
-        await update_database(
+        await DBSpendUpdateWriter.update_database(
             token=user_api_key_dict.api_key,
             response_cost=0.0,
             user_id=user_api_key_dict.user_id,
@@ -94,7 +93,6 @@ class _ProxyDBLogger(CustomLogger):
             prisma_client,
             proxy_logging_obj,
             update_cache,
-            update_database,
         )
 
         verbose_proxy_logger.debug("INSIDE _PROXY_track_cost_callback")
@@ -138,7 +136,7 @@ class _ProxyDBLogger(CustomLogger):
                     end_user_id=end_user_id,
                 ):
                     ## UPDATE DATABASE
-                    await update_database(
+                    await DBSpendUpdateWriter.update_database(
                         token=user_api_key,
                         response_cost=response_cost,
                         user_id=user_id,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 5d7e92fd73..6a2da7d83b 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -897,211 +897,6 @@ def cost_tracking():
         litellm.logging_callback_manager.add_litellm_callback(_ProxyDBLogger())
 
 
-def _set_spend_logs_payload(
-    payload: Union[dict, SpendLogsPayload],
-    prisma_client: PrismaClient,
-    spend_logs_url: Optional[str] = None,
-):
-    verbose_proxy_logger.info(
-        "Writing spend log to db - request_id: {}, spend: {}".format(
-            payload.get("request_id"), payload.get("spend")
-        )
-    )
-    if prisma_client is not None and spend_logs_url is not None:
-        if isinstance(payload["startTime"], datetime):
-            payload["startTime"] = payload["startTime"].isoformat()
-        if isinstance(payload["endTime"], datetime):
-            payload["endTime"] = payload["endTime"].isoformat()
-        prisma_client.spend_log_transactions.append(payload)
-    elif prisma_client is not None:
-        prisma_client.spend_log_transactions.append(payload)
-
-    prisma_client.add_spend_log_transaction_to_daily_user_transaction(payload.copy())
-    return prisma_client
-
-
-async def update_database(  # noqa: PLR0915
-    token,
-    response_cost,
-    user_id=None,
-    end_user_id=None,
-    team_id=None,
-    kwargs=None,
-    completion_response=None,
-    start_time=None,
-    end_time=None,
-    org_id=None,
-):
-    try:
-        global prisma_client
-        verbose_proxy_logger.debug(
-            f"Enters prisma db call, response_cost: {response_cost}, token: {token}; user_id: {user_id}; team_id: {team_id}"
-        )
-        if ProxyUpdateSpend.disable_spend_updates() is True:
-            return
-        if token is not None and isinstance(token, str) and token.startswith("sk-"):
-            hashed_token = hash_token(token=token)
-        else:
-            hashed_token = token
-
-        ### UPDATE USER SPEND ###
-        async def _update_user_db():
-            """
-            - Update that user's row
-            - Update litellm-proxy-budget row (global proxy spend)
-            """
-            ## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db
-            existing_user_obj = await user_api_key_cache.async_get_cache(key=user_id)
-            if existing_user_obj is not None and isinstance(existing_user_obj, dict):
-                existing_user_obj = LiteLLM_UserTable(**existing_user_obj)
-            try:
-                if prisma_client is not None:  # update
-                    user_ids = [user_id]
-                    if (
-                        litellm.max_budget > 0
-                    ):  # track global proxy budget, if user set max budget
-                        user_ids.append(litellm_proxy_budget_name)
-                    ### KEY CHANGE ###
-                    for _id in user_ids:
-                        if _id is not None:
-                            prisma_client.user_list_transactons[_id] = (
-                                response_cost
-                                + prisma_client.user_list_transactons.get(_id, 0)
-                            )
-                    if end_user_id is not None:
-                        prisma_client.end_user_list_transactons[end_user_id] = (
-                            response_cost
-                            + prisma_client.end_user_list_transactons.get(
-                                end_user_id, 0
-                            )
-                        )
-            except Exception as e:
-                verbose_proxy_logger.info(
-                    "\033[91m"
-                    + f"Update User DB call failed to execute {str(e)}\n{traceback.format_exc()}"
-                )
-
-        ### UPDATE KEY SPEND ###
-        async def _update_key_db():
-            try:
-                verbose_proxy_logger.debug(
-                    f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}."
-                )
-                if hashed_token is None:
-                    return
-                if prisma_client is not None:
-                    prisma_client.key_list_transactons[hashed_token] = (
-                        response_cost
-                        + prisma_client.key_list_transactons.get(hashed_token, 0)
-                    )
-            except Exception as e:
-                verbose_proxy_logger.exception(
-                    f"Update Key DB Call failed to execute - {str(e)}"
-                )
-                raise e
-
-        ### UPDATE SPEND LOGS ###
-        async def _insert_spend_log_to_db():
-            try:
-                global prisma_client
-                if prisma_client is not None:
-                    # Helper to generate payload to log
-                    payload = get_logging_payload(
-                        kwargs=kwargs,
-                        response_obj=completion_response,
-                        start_time=start_time,
-                        end_time=end_time,
-                    )
-                    payload["spend"] = response_cost
-                    prisma_client = _set_spend_logs_payload(
-                        payload=payload,
-                        spend_logs_url=os.getenv("SPEND_LOGS_URL"),
-                        prisma_client=prisma_client,
-                    )
-            except Exception as e:
-                verbose_proxy_logger.debug(
-                    f"Update Spend Logs DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                )
-                raise e
-
-        ### UPDATE TEAM SPEND ###
-        async def _update_team_db():
-            try:
-                verbose_proxy_logger.debug(
-                    f"adding spend to team db. Response cost: {response_cost}. team_id: {team_id}."
-                )
-                if team_id is None:
-                    verbose_proxy_logger.debug(
-                        "track_cost_callback: team_id is None. Not tracking spend for team"
-                    )
-                    return
-                if prisma_client is not None:
-                    prisma_client.team_list_transactons[team_id] = (
-                        response_cost
-                        + prisma_client.team_list_transactons.get(team_id, 0)
-                    )
-
-                    try:
-                        # Track spend of the team member within this team
-                        # key is "team_id::<value>::user_id::<value>"
-                        team_member_key = f"team_id::{team_id}::user_id::{user_id}"
-                        prisma_client.team_member_list_transactons[team_member_key] = (
-                            response_cost
-                            + prisma_client.team_member_list_transactons.get(
-                                team_member_key, 0
-                            )
-                        )
-                    except Exception:
-                        pass
-            except Exception as e:
-                verbose_proxy_logger.info(
-                    f"Update Team DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                )
-                raise e
-
-        ### UPDATE ORG SPEND ###
-        async def _update_org_db():
-            try:
-                verbose_proxy_logger.debug(
-                    "adding spend to org db. Response cost: {}. org_id: {}.".format(
-                        response_cost, org_id
-                    )
-                )
-                if org_id is None:
-                    verbose_proxy_logger.debug(
-                        "track_cost_callback: org_id is None. Not tracking spend for org"
-                    )
-                    return
-                if prisma_client is not None:
-                    prisma_client.org_list_transactons[org_id] = (
-                        response_cost
-                        + prisma_client.org_list_transactons.get(org_id, 0)
-                    )
-            except Exception as e:
-                verbose_proxy_logger.info(
-                    f"Update Org DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                )
-                raise e
-
-        asyncio.create_task(_update_user_db())
-        asyncio.create_task(_update_key_db())
-        asyncio.create_task(_update_team_db())
-        asyncio.create_task(_update_org_db())
-        # asyncio.create_task(_insert_spend_log_to_db())
-        if disable_spend_logs is False:
-            await _insert_spend_log_to_db()
-        else:
-            verbose_proxy_logger.info(
-                "disable_spend_logs=True. Skipping writing spend logs to db. Other spend updates - Key/User/Team table will still occur."
-            )
-
-        verbose_proxy_logger.debug("Runs spend update on all tables")
-    except Exception:
-        verbose_proxy_logger.debug(
-            f"Error updating Prisma database: {traceback.format_exc()}"
-        )
-
-
 async def update_cache(  # noqa: PLR0915
     token: Optional[str],
     user_id: Optional[str],
@@ -3294,14 +3089,14 @@ class ProxyStartupEvent:
                 prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj
             )
 
-            ### GET STORED CREDENTIALS ###
-            scheduler.add_job(
-                proxy_config.get_credentials,
-                "interval",
-                seconds=10,
-                args=[prisma_client],
-            )
-            await proxy_config.get_credentials(prisma_client=prisma_client)
+        ### GET STORED CREDENTIALS ###
+        scheduler.add_job(
+            proxy_config.get_credentials,
+            "interval",
+            seconds=1,
+            args=[prisma_client],
+        )
+        await proxy_config.get_credentials(prisma_client=prisma_client)
         if (
             proxy_logging_obj is not None
             and proxy_logging_obj.slack_alerting_instance.alerting is not None
diff --git a/tests/litellm/proxy/hooks/test_proxy_track_cost_callback.py b/tests/litellm/proxy/hooks/test_proxy_track_cost_callback.py
index 1e3b22ae2d..8850436329 100644
--- a/tests/litellm/proxy/hooks/test_proxy_track_cost_callback.py
+++ b/tests/litellm/proxy/hooks/test_proxy_track_cost_callback.py
@@ -47,7 +47,8 @@ async def test_async_post_call_failure_hook():
 
     # Mock update_database function
     with patch(
-        "litellm.proxy.proxy_server.update_database", new_callable=AsyncMock
+        "litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter.update_database",
+        new_callable=AsyncMock,
     ) as mock_update_database:
         # Call the method
         await logger.async_post_call_failure_hook(
diff --git a/tests/proxy_unit_tests/test_unit_test_proxy_hooks.py b/tests/proxy_unit_tests/test_unit_test_proxy_hooks.py
index 535f5bf019..129be6d754 100644
--- a/tests/proxy_unit_tests/test_unit_test_proxy_hooks.py
+++ b/tests/proxy_unit_tests/test_unit_test_proxy_hooks.py
@@ -5,6 +5,7 @@ from unittest.mock import Mock, patch, AsyncMock
 import pytest
 from fastapi import Request
 from litellm.proxy.utils import _get_redoc_url, _get_docs_url
+from datetime import datetime
 
 sys.path.insert(0, os.path.abspath("../.."))
 import litellm
@@ -22,16 +23,20 @@ async def test_disable_spend_logs():
     with patch("litellm.proxy.proxy_server.disable_spend_logs", True), patch(
         "litellm.proxy.proxy_server.prisma_client", mock_prisma_client
     ):
-        from litellm.proxy.proxy_server import update_database
+        from litellm.proxy.db.db_spend_update_writer import DBSpendUpdateWriter
 
         # Call update_database with disable_spend_logs=True
-        await update_database(
+        await DBSpendUpdateWriter.update_database(
             token="fake-token",
             response_cost=0.1,
             user_id="user123",
             completion_response=None,
-            start_time="2024-01-01",
-            end_time="2024-01-01",
+            start_time=datetime.now(),
+            end_time=datetime.now(),
+            end_user_id="end_user_id",
+            team_id="team_id",
+            org_id="org_id",
+            kwargs={},
         )
         # Verify no spend logs were added
         assert len(mock_prisma_client.spend_log_transactions) == 0

From 072be44a54a5cd37162f0cd2d0fb166d1d670cad Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 16:34:06 -0700
Subject: [PATCH 115/244] fix get_credentials job

---
 litellm/proxy/proxy_server.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 6a2da7d83b..d7e62f98d0 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -3089,14 +3089,14 @@ class ProxyStartupEvent:
                 prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj
             )
 
-        ### GET STORED CREDENTIALS ###
-        scheduler.add_job(
-            proxy_config.get_credentials,
-            "interval",
-            seconds=1,
-            args=[prisma_client],
-        )
-        await proxy_config.get_credentials(prisma_client=prisma_client)
+            ### GET STORED CREDENTIALS ###
+            scheduler.add_job(
+                proxy_config.get_credentials,
+                "interval",
+                seconds=10,
+                args=[prisma_client],
+            )
+            await proxy_config.get_credentials(prisma_client=prisma_client)
         if (
             proxy_logging_obj is not None
             and proxy_logging_obj.slack_alerting_instance.alerting is not None

From a0fd508de405040e22b00cbb043e8bde0afd5e75 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 16:43:18 -0700
Subject: [PATCH 116/244] DBSpendUpdateWriter

---
 litellm/proxy/db/db_spend_update_writer.py               | 3 +--
 .../spend_tracking/test_spend_management_endpoints.py    | 9 ++++++---
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index d5f2ef5228..af1d3294c5 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -7,9 +7,8 @@ from typing import Any, Optional, Union
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import LiteLLM_UserTable, SpendLogsPayload
-from litellm.proxy.proxy_server import hash_token
 from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
-from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend
+from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend, hash_token
 
 
 class DBSpendUpdateWriter:
diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index a5ee9ddf70..e08bce432d 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -416,7 +416,8 @@ class TestSpendLogsPayload:
         # litellm._turn_on_debug()
 
         with patch.object(
-            litellm.proxy.proxy_server, "_set_spend_logs_payload"
+            litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter,
+            "_set_spend_logs_payload",
         ) as mock_client, patch.object(litellm.proxy.proxy_server, "prisma_client"):
             response = await litellm.acompletion(
                 model="gpt-4o",
@@ -509,7 +510,8 @@ class TestSpendLogsPayload:
         client = AsyncHTTPHandler()
 
         with patch.object(
-            litellm.proxy.proxy_server, "_set_spend_logs_payload"
+            litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter,
+            "_set_spend_logs_payload",
         ) as mock_client, patch.object(
             litellm.proxy.proxy_server, "prisma_client"
         ), patch.object(
@@ -604,7 +606,8 @@ class TestSpendLogsPayload:
         )
 
         with patch.object(
-            litellm.proxy.proxy_server, "_set_spend_logs_payload"
+            litellm.proxy.db.db_spend_update_writer.DBSpendUpdateWriter,
+            "_set_spend_logs_payload",
         ) as mock_client, patch.object(
             litellm.proxy.proxy_server, "prisma_client"
         ), patch.object(

From 7995fd7c98bf6fe3a058edfb60c64b05fc330622 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 16:44:46 -0700
Subject: [PATCH 117/244] fix DBSpendUpdateWriter

---
 litellm/proxy/db/db_spend_update_writer.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index af1d3294c5..ecafdcc3df 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -1,3 +1,10 @@
+"""
+Module responsible for
+
+1. Writing spend increments to either in memory list of transactions or to redis
+2. Reading increments from redis or in memory list of transactions and committing them to db
+"""
+
 import asyncio
 import os
 import traceback
@@ -12,6 +19,12 @@ from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend, hash_token
 
 
 class DBSpendUpdateWriter:
+    """
+    Module responsible for
+
+    1. Writing spend increments to either in memory list of transactions or to redis
+    2. Reading increments from redis or in memory list of transactions and committing them to db
+    """
 
     @staticmethod
     async def update_database(  # noqa: PLR0915

From 403f2ef68dae3735fc61b5ada98b336ee5ab044c Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 16:57:12 -0700
Subject: [PATCH 118/244] use simple static methods for updating spend

---
 litellm/proxy/db/db_spend_update_writer.py | 349 ++++++++++++---------
 1 file changed, 201 insertions(+), 148 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index ecafdcc3df..37d709c0f1 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -13,6 +13,7 @@ from typing import Any, Optional, Union
 
 import litellm
 from litellm._logging import verbose_proxy_logger
+from litellm.caching import DualCache
 from litellm.proxy._types import LiteLLM_UserTable, SpendLogsPayload
 from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
 from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend, hash_token
@@ -27,7 +28,7 @@ class DBSpendUpdateWriter:
     """
 
     @staticmethod
-    async def update_database(  # noqa: PLR0915
+    async def update_database(
         # LiteLLM management object fields
         token: Optional[str],
         user_id: Optional[str],
@@ -59,155 +60,47 @@ class DBSpendUpdateWriter:
             else:
                 hashed_token = token
 
-            ### UPDATE USER SPEND ###
-            async def _update_user_db():
-                """
-                - Update that user's row
-                - Update litellm-proxy-budget row (global proxy spend)
-                """
-                ## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db
-                existing_user_obj = await user_api_key_cache.async_get_cache(
-                    key=user_id
+            asyncio.create_task(
+                DBSpendUpdateWriter._update_user_db(
+                    response_cost=response_cost,
+                    user_id=user_id,
+                    prisma_client=prisma_client,
+                    user_api_key_cache=user_api_key_cache,
+                    litellm_proxy_budget_name=litellm_proxy_budget_name,
+                    end_user_id=end_user_id,
                 )
-                if existing_user_obj is not None and isinstance(
-                    existing_user_obj, dict
-                ):
-                    existing_user_obj = LiteLLM_UserTable(**existing_user_obj)
-                try:
-                    if prisma_client is not None:  # update
-                        user_ids = [user_id]
-                        if (
-                            litellm.max_budget > 0
-                        ):  # track global proxy budget, if user set max budget
-                            user_ids.append(litellm_proxy_budget_name)
-                        ### KEY CHANGE ###
-                        for _id in user_ids:
-                            if _id is not None:
-                                prisma_client.user_list_transactons[_id] = (
-                                    response_cost
-                                    + prisma_client.user_list_transactons.get(_id, 0)
-                                )
-                        if end_user_id is not None:
-                            prisma_client.end_user_list_transactons[end_user_id] = (
-                                response_cost
-                                + prisma_client.end_user_list_transactons.get(
-                                    end_user_id, 0
-                                )
-                            )
-                except Exception as e:
-                    verbose_proxy_logger.info(
-                        "\033[91m"
-                        + f"Update User DB call failed to execute {str(e)}\n{traceback.format_exc()}"
-                    )
-
-            ### UPDATE KEY SPEND ###
-            async def _update_key_db():
-                try:
-                    verbose_proxy_logger.debug(
-                        f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}."
-                    )
-                    if hashed_token is None:
-                        return
-                    if prisma_client is not None:
-                        prisma_client.key_list_transactons[hashed_token] = (
-                            response_cost
-                            + prisma_client.key_list_transactons.get(hashed_token, 0)
-                        )
-                except Exception as e:
-                    verbose_proxy_logger.exception(
-                        f"Update Key DB Call failed to execute - {str(e)}"
-                    )
-                    raise e
-
-            ### UPDATE SPEND LOGS ###
-            async def _insert_spend_log_to_db():
-                try:
-                    if prisma_client:
-                        payload = get_logging_payload(
-                            kwargs=kwargs,
-                            response_obj=completion_response,
-                            start_time=start_time,
-                            end_time=end_time,
-                        )
-                        payload["spend"] = response_cost or 0.0
-                        DBSpendUpdateWriter._set_spend_logs_payload(
-                            payload=payload,
-                            spend_logs_url=os.getenv("SPEND_LOGS_URL"),
-                            prisma_client=prisma_client,
-                        )
-                except Exception as e:
-                    verbose_proxy_logger.debug(
-                        f"Update Spend Logs DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                    )
-                    raise e
-
-            ### UPDATE TEAM SPEND ###
-            async def _update_team_db():
-                try:
-                    verbose_proxy_logger.debug(
-                        f"adding spend to team db. Response cost: {response_cost}. team_id: {team_id}."
-                    )
-                    if team_id is None:
-                        verbose_proxy_logger.debug(
-                            "track_cost_callback: team_id is None. Not tracking spend for team"
-                        )
-                        return
-                    if prisma_client is not None:
-                        prisma_client.team_list_transactons[team_id] = (
-                            response_cost
-                            + prisma_client.team_list_transactons.get(team_id, 0)
-                        )
-
-                        try:
-                            # Track spend of the team member within this team
-                            # key is "team_id::<value>::user_id::<value>"
-                            team_member_key = f"team_id::{team_id}::user_id::{user_id}"
-                            prisma_client.team_member_list_transactons[
-                                team_member_key
-                            ] = (
-                                response_cost
-                                + prisma_client.team_member_list_transactons.get(
-                                    team_member_key, 0
-                                )
-                            )
-                        except Exception:
-                            pass
-                except Exception as e:
-                    verbose_proxy_logger.info(
-                        f"Update Team DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                    )
-                    raise e
-
-            ### UPDATE ORG SPEND ###
-            async def _update_org_db():
-                try:
-                    verbose_proxy_logger.debug(
-                        "adding spend to org db. Response cost: {}. org_id: {}.".format(
-                            response_cost, org_id
-                        )
-                    )
-                    if org_id is None:
-                        verbose_proxy_logger.debug(
-                            "track_cost_callback: org_id is None. Not tracking spend for org"
-                        )
-                        return
-                    if prisma_client is not None:
-                        prisma_client.org_list_transactons[org_id] = (
-                            response_cost
-                            + prisma_client.org_list_transactons.get(org_id, 0)
-                        )
-                except Exception as e:
-                    verbose_proxy_logger.info(
-                        f"Update Org DB failed to execute - {str(e)}\n{traceback.format_exc()}"
-                    )
-                    raise e
-
-            asyncio.create_task(_update_user_db())
-            asyncio.create_task(_update_key_db())
-            asyncio.create_task(_update_team_db())
-            asyncio.create_task(_update_org_db())
+            )
+            asyncio.create_task(
+                DBSpendUpdateWriter._update_key_db(
+                    response_cost=response_cost,
+                    hashed_token=hashed_token,
+                    prisma_client=prisma_client,
+                )
+            )
+            asyncio.create_task(
+                DBSpendUpdateWriter._update_team_db(
+                    response_cost=response_cost,
+                    team_id=team_id,
+                    user_id=user_id,
+                    prisma_client=prisma_client,
+                )
+            )
+            asyncio.create_task(
+                DBSpendUpdateWriter._update_org_db(
+                    response_cost=response_cost,
+                    org_id=org_id,
+                    prisma_client=prisma_client,
+                )
+            )
             if disable_spend_logs is False:
-                await _insert_spend_log_to_db()
+                await DBSpendUpdateWriter._insert_spend_log_to_db(
+                    kwargs=kwargs,
+                    completion_response=completion_response,
+                    start_time=start_time,
+                    end_time=end_time,
+                    response_cost=response_cost,
+                    prisma_client=prisma_client,
+                )
             else:
                 verbose_proxy_logger.info(
                     "disable_spend_logs=True. Skipping writing spend logs to db. Other spend updates - Key/User/Team table will still occur."
@@ -219,6 +112,166 @@ class DBSpendUpdateWriter:
                 f"Error updating Prisma database: {traceback.format_exc()}"
             )
 
+    @staticmethod
+    async def _update_key_db(
+        response_cost: Optional[float],
+        hashed_token: Optional[str],
+        prisma_client: Optional[PrismaClient],
+    ):
+        try:
+            verbose_proxy_logger.debug(
+                f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}."
+            )
+            if hashed_token is None:
+                return
+            if prisma_client is not None:
+                prisma_client.key_list_transactons[hashed_token] = (
+                    response_cost
+                    + prisma_client.key_list_transactons.get(hashed_token, 0)
+                )
+        except Exception as e:
+            verbose_proxy_logger.exception(
+                f"Update Key DB Call failed to execute - {str(e)}"
+            )
+            raise e
+
+    @staticmethod
+    async def _update_user_db(
+        response_cost: Optional[float],
+        user_id: Optional[str],
+        prisma_client: Optional[PrismaClient],
+        user_api_key_cache: DualCache,
+        litellm_proxy_budget_name: Optional[str],
+        end_user_id: Optional[str] = None,
+    ):
+        """
+        - Update that user's row
+        - Update litellm-proxy-budget row (global proxy spend)
+        """
+        ## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db
+        existing_user_obj = await user_api_key_cache.async_get_cache(key=user_id)
+        if existing_user_obj is not None and isinstance(existing_user_obj, dict):
+            existing_user_obj = LiteLLM_UserTable(**existing_user_obj)
+        try:
+            if prisma_client is not None:  # update
+                user_ids = [user_id]
+                if (
+                    litellm.max_budget > 0
+                ):  # track global proxy budget, if user set max budget
+                    user_ids.append(litellm_proxy_budget_name)
+                ### KEY CHANGE ###
+                for _id in user_ids:
+                    if _id is not None:
+                        prisma_client.user_list_transactons[_id] = (
+                            response_cost
+                            + prisma_client.user_list_transactons.get(_id, 0)
+                        )
+                if end_user_id is not None:
+                    prisma_client.end_user_list_transactons[end_user_id] = (
+                        response_cost
+                        + prisma_client.end_user_list_transactons.get(end_user_id, 0)
+                    )
+        except Exception as e:
+            verbose_proxy_logger.info(
+                "\033[91m"
+                + f"Update User DB call failed to execute {str(e)}\n{traceback.format_exc()}"
+            )
+
+    @staticmethod
+    async def _update_team_db(
+        response_cost: Optional[float],
+        team_id: Optional[str],
+        user_id: Optional[str],
+        prisma_client: Optional[PrismaClient],
+    ):
+        try:
+            verbose_proxy_logger.debug(
+                f"adding spend to team db. Response cost: {response_cost}. team_id: {team_id}."
+            )
+            if team_id is None:
+                verbose_proxy_logger.debug(
+                    "track_cost_callback: team_id is None. Not tracking spend for team"
+                )
+                return
+            if prisma_client is not None:
+                prisma_client.team_list_transactons[team_id] = (
+                    response_cost + prisma_client.team_list_transactons.get(team_id, 0)
+                )
+
+                try:
+                    # Track spend of the team member within this team
+                    # key is "team_id::<value>::user_id::<value>"
+                    team_member_key = f"team_id::{team_id}::user_id::{user_id}"
+                    prisma_client.team_member_list_transactons[team_member_key] = (
+                        response_cost
+                        + prisma_client.team_member_list_transactons.get(
+                            team_member_key, 0
+                        )
+                    )
+                except Exception:
+                    pass
+        except Exception as e:
+            verbose_proxy_logger.info(
+                f"Update Team DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+            )
+            raise e
+
+    @staticmethod
+    async def _update_org_db(
+        response_cost: Optional[float],
+        org_id: Optional[str],
+        prisma_client: Optional[PrismaClient],
+    ):
+        try:
+            verbose_proxy_logger.debug(
+                "adding spend to org db. Response cost: {}. org_id: {}.".format(
+                    response_cost, org_id
+                )
+            )
+            if org_id is None:
+                verbose_proxy_logger.debug(
+                    "track_cost_callback: org_id is None. Not tracking spend for org"
+                )
+                return
+            if prisma_client is not None:
+                prisma_client.org_list_transactons[org_id] = (
+                    response_cost + prisma_client.org_list_transactons.get(org_id, 0)
+                )
+        except Exception as e:
+            verbose_proxy_logger.info(
+                f"Update Org DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+            )
+            raise e
+
+    @staticmethod
+    async def _insert_spend_log_to_db(
+        kwargs: Optional[dict],
+        completion_response: Optional[Union[litellm.ModelResponse, Any, Exception]],
+        start_time: Optional[datetime],
+        end_time: Optional[datetime],
+        response_cost: Optional[float],
+        prisma_client: Optional[PrismaClient],
+    ):
+        try:
+            if prisma_client:
+                payload = get_logging_payload(
+                    kwargs=kwargs,
+                    response_obj=completion_response,
+                    start_time=start_time,
+                    end_time=end_time,
+                )
+                payload["spend"] = response_cost or 0.0
+                DBSpendUpdateWriter._set_spend_logs_payload(
+                    payload=payload,
+                    spend_logs_url=os.getenv("SPEND_LOGS_URL"),
+                    prisma_client=prisma_client,
+                )
+        except Exception as e:
+            verbose_proxy_logger.debug(
+                f"Update Spend Logs DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+            )
+            raise e
+
     @staticmethod
     def _set_spend_logs_payload(
         payload: Union[dict, SpendLogsPayload],

From b721b2b4acfb84e4b5b73e488a33562b12759c75 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 17:04:50 -0700
Subject: [PATCH 119/244] use DBSpendUpdateWriter common function for

---
 litellm/proxy/_types.py                    |  15 +++
 litellm/proxy/db/db_spend_update_writer.py | 142 ++++++++++++++-------
 2 files changed, 111 insertions(+), 46 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 6e242ddacb..17b4acd138 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -144,6 +144,21 @@ class LitellmTableNames(str, enum.Enum):
     PROXY_MODEL_TABLE_NAME = "LiteLLM_ProxyModelTable"
 
 
+class Litellm_EntityType(enum.Enum):
+    """
+    Enum for types of entities on litellm
+
+    This enum allows specifying the type of entity that is being tracked in the database.
+    """
+
+    KEY = "key"
+    USER = "user"
+    END_USER = "end_user"
+    TEAM = "team"
+    TEAM_MEMBER = "team_member"
+    ORGANIZATION = "organization"
+
+
 def hash_token(token: str):
     import hashlib
 
diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 37d709c0f1..34e8eae173 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -14,7 +14,7 @@ from typing import Any, Optional, Union
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import DualCache
-from litellm.proxy._types import LiteLLM_UserTable, SpendLogsPayload
+from litellm.proxy._types import Litellm_EntityType, LiteLLM_UserTable, SpendLogsPayload
 from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
 from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend, hash_token
 
@@ -112,6 +112,52 @@ class DBSpendUpdateWriter:
                 f"Error updating Prisma database: {traceback.format_exc()}"
             )
 
+    @staticmethod
+    async def _update_transaction_list(
+        response_cost: Optional[float],
+        entity_id: Optional[str],
+        transaction_list: dict,
+        entity_type: Litellm_EntityType,
+        debug_msg: Optional[str] = None,
+    ) -> bool:
+        """
+        Common helper method to update a transaction list for an entity
+
+        Args:
+            response_cost: The cost to add
+            entity_id: The ID of the entity to update
+            transaction_list: The transaction list dictionary to update
+            entity_type: The type of entity (from EntityType enum)
+            debug_msg: Optional custom debug message
+
+        Returns:
+            bool: True if update happened, False otherwise
+        """
+        try:
+            if debug_msg:
+                verbose_proxy_logger.debug(debug_msg)
+            else:
+                verbose_proxy_logger.debug(
+                    f"adding spend to {entity_type.value} db. Response cost: {response_cost}. {entity_type.value}_id: {entity_id}."
+                )
+
+            if entity_id is None:
+                verbose_proxy_logger.debug(
+                    f"track_cost_callback: {entity_type.value}_id is None. Not tracking spend for {entity_type.value}"
+                )
+                return False
+
+            transaction_list[entity_id] = response_cost + transaction_list.get(
+                entity_id, 0
+            )
+            return True
+
+        except Exception as e:
+            verbose_proxy_logger.info(
+                f"Update {entity_type.value.capitalize()} DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+            )
+            raise e
+
     @staticmethod
     async def _update_key_db(
         response_cost: Optional[float],
@@ -119,16 +165,16 @@ class DBSpendUpdateWriter:
         prisma_client: Optional[PrismaClient],
     ):
         try:
-            verbose_proxy_logger.debug(
-                f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}."
-            )
-            if hashed_token is None:
+            if hashed_token is None or prisma_client is None:
                 return
-            if prisma_client is not None:
-                prisma_client.key_list_transactons[hashed_token] = (
-                    response_cost
-                    + prisma_client.key_list_transactons.get(hashed_token, 0)
-                )
+
+            await DBSpendUpdateWriter._update_transaction_list(
+                response_cost=response_cost,
+                entity_id=hashed_token,
+                transaction_list=prisma_client.key_list_transactons,
+                entity_type=Litellm_EntityType.KEY,
+                debug_msg=f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}.",
+            )
         except Exception as e:
             verbose_proxy_logger.exception(
                 f"Update Key DB Call failed to execute - {str(e)}"
@@ -159,17 +205,22 @@ class DBSpendUpdateWriter:
                     litellm.max_budget > 0
                 ):  # track global proxy budget, if user set max budget
                     user_ids.append(litellm_proxy_budget_name)
-                ### KEY CHANGE ###
+
                 for _id in user_ids:
                     if _id is not None:
-                        prisma_client.user_list_transactons[_id] = (
-                            response_cost
-                            + prisma_client.user_list_transactons.get(_id, 0)
+                        await DBSpendUpdateWriter._update_transaction_list(
+                            response_cost=response_cost,
+                            entity_id=_id,
+                            transaction_list=prisma_client.user_list_transactons,
+                            entity_type=Litellm_EntityType.USER,
                         )
+
                 if end_user_id is not None:
-                    prisma_client.end_user_list_transactons[end_user_id] = (
-                        response_cost
-                        + prisma_client.end_user_list_transactons.get(end_user_id, 0)
+                    await DBSpendUpdateWriter._update_transaction_list(
+                        response_cost=response_cost,
+                        entity_id=end_user_id,
+                        transaction_list=prisma_client.end_user_list_transactons,
+                        entity_type=Litellm_EntityType.END_USER,
                     )
         except Exception as e:
             verbose_proxy_logger.info(
@@ -185,31 +236,32 @@ class DBSpendUpdateWriter:
         prisma_client: Optional[PrismaClient],
     ):
         try:
-            verbose_proxy_logger.debug(
-                f"adding spend to team db. Response cost: {response_cost}. team_id: {team_id}."
-            )
-            if team_id is None:
+            if team_id is None or prisma_client is None:
                 verbose_proxy_logger.debug(
-                    "track_cost_callback: team_id is None. Not tracking spend for team"
+                    "track_cost_callback: team_id is None or prisma_client is None. Not tracking spend for team"
                 )
                 return
-            if prisma_client is not None:
-                prisma_client.team_list_transactons[team_id] = (
-                    response_cost + prisma_client.team_list_transactons.get(team_id, 0)
-                )
 
-                try:
-                    # Track spend of the team member within this team
+            await DBSpendUpdateWriter._update_transaction_list(
+                response_cost=response_cost,
+                entity_id=team_id,
+                transaction_list=prisma_client.team_list_transactons,
+                entity_type=Litellm_EntityType.TEAM,
+            )
+
+            try:
+                # Track spend of the team member within this team
+                if user_id is not None:
                     # key is "team_id::<value>::user_id::<value>"
                     team_member_key = f"team_id::{team_id}::user_id::{user_id}"
-                    prisma_client.team_member_list_transactons[team_member_key] = (
-                        response_cost
-                        + prisma_client.team_member_list_transactons.get(
-                            team_member_key, 0
-                        )
+                    await DBSpendUpdateWriter._update_transaction_list(
+                        response_cost=response_cost,
+                        entity_id=team_member_key,
+                        transaction_list=prisma_client.team_member_list_transactons,
+                        entity_type=Litellm_EntityType.TEAM_MEMBER,
                     )
-                except Exception:
-                    pass
+            except Exception:
+                pass
         except Exception as e:
             verbose_proxy_logger.info(
                 f"Update Team DB failed to execute - {str(e)}\n{traceback.format_exc()}"
@@ -223,20 +275,18 @@ class DBSpendUpdateWriter:
         prisma_client: Optional[PrismaClient],
     ):
         try:
-            verbose_proxy_logger.debug(
-                "adding spend to org db. Response cost: {}. org_id: {}.".format(
-                    response_cost, org_id
-                )
-            )
-            if org_id is None:
+            if org_id is None or prisma_client is None:
                 verbose_proxy_logger.debug(
-                    "track_cost_callback: org_id is None. Not tracking spend for org"
+                    "track_cost_callback: org_id is None or prisma_client is None. Not tracking spend for org"
                 )
                 return
-            if prisma_client is not None:
-                prisma_client.org_list_transactons[org_id] = (
-                    response_cost + prisma_client.org_list_transactons.get(org_id, 0)
-                )
+
+            await DBSpendUpdateWriter._update_transaction_list(
+                response_cost=response_cost,
+                entity_id=org_id,
+                transaction_list=prisma_client.org_list_transactons,
+                entity_type=Litellm_EntityType.ORGANIZATION,
+            )
         except Exception as e:
             verbose_proxy_logger.info(
                 f"Update Org DB failed to execute - {str(e)}\n{traceback.format_exc()}"

From fb83567a037837aa380bdc98ed3627c831868191 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 17:15:25 -0700
Subject: [PATCH 120/244] Litellm new UI build (#9601)

* build: new ui build

* build: new ui build

* fix(proxy_server.py): only show user models their key can access on `/models`

* fix(model_management_endpoints.py): ensure team admin can add models

* test: update unit testing to reflect changes

* fix(model_dashboard.tsx): fix sizing on models page

* build: fix ui
---
 .../static/chunks/250-601568e45a5ffece.js     |   1 +
 .../static/chunks/250-a75ee9d79f1140b0.js     |   1 -
 .../static/chunks/394-48a36e9c9b2cb488.js     |   4 +-
 .../chunks/app/layout-429ad74a94df7643.js     |   1 +
 .../chunks/app/layout-af8319e6c59a08da.js     |   1 -
 .../app/model_hub/page-cde2fb783e81a6c1.js    |   2 +-
 .../app/onboarding/page-1ffe69692e4b2037.js   |   1 -
 .../app/onboarding/page-5110f2c6a3c9a2f4.js   |   1 +
 .../chunks/app/page-75d771fb848b47a8.js       |   1 -
 .../chunks/app/page-e21d4be3d6c3c16e.js       |   1 +
 ...80647d.js => main-app-4f7318ae681a6d94.js} |   2 +-
 .../_buildManifest.js                         |   0
 .../_ssgManifest.js                           |   0
 .../out/assets/logos/anthropic.svg            |   5 +
 .../out/assets/logos/assemblyai_small.png     | Bin 0 -> 414 bytes
 .../_experimental/out/assets/logos/aws.svg    |  34 +++++++
 .../out/assets/logos/bedrock.svg              |   1 +
 .../out/assets/logos/cerebras.svg             |  89 ++++++++++++++++++
 .../_experimental/out/assets/logos/cohere.svg |   1 +
 .../out/assets/logos/databricks.svg           |   1 +
 .../out/assets/logos/deepseek.svg             |  25 +++++
 .../out/assets/logos/fireworks.svg            |   1 +
 .../_experimental/out/assets/logos/google.svg |   2 +
 .../_experimental/out/assets/logos/groq.svg   |   3 +
 .../out/assets/logos/microsoft_azure.svg      |  72 ++++++++++++++
 .../out/assets/logos/mistral.svg              |   1 +
 .../_experimental/out/assets/logos/ollama.svg |   7 ++
 .../out/assets/logos/openai_small.svg         |   5 +
 .../out/assets/logos/openrouter.svg           |  39 ++++++++
 .../out/assets/logos/perplexity-ai.svg        |  16 ++++
 .../out/assets/logos/sambanova.svg            |   1 +
 .../out/assets/logos/togetherai.svg           |  14 +++
 .../_experimental/out/assets/logos/xai.svg    |  28 ++++++
 litellm/proxy/_experimental/out/index.html    |   2 +-
 litellm/proxy/_experimental/out/index.txt     |   4 +-
 litellm/proxy/_experimental/out/model_hub.txt |   4 +-
 .../proxy/_experimental/out/onboarding.txt    |   4 +-
 litellm/proxy/_new_secret_config.yaml         |  11 +--
 .../model_management_endpoints.py             |  15 +++
 litellm/proxy/proxy_server.py                 |  12 ++-
 .../test_model_management_endpoints.py        |  13 ++-
 ui/litellm-dashboard/out/404.html             |   2 +-
 .../static/chunks/250-601568e45a5ffece.js     |   1 +
 .../static/chunks/250-a75ee9d79f1140b0.js     |   1 -
 .../static/chunks/394-48a36e9c9b2cb488.js     |   4 +-
 .../chunks/app/layout-429ad74a94df7643.js     |   1 +
 .../chunks/app/layout-af8319e6c59a08da.js     |   1 -
 .../app/model_hub/page-cde2fb783e81a6c1.js    |   2 +-
 .../app/onboarding/page-1ffe69692e4b2037.js   |   1 -
 .../app/onboarding/page-5110f2c6a3c9a2f4.js   |   1 +
 .../chunks/app/page-75d771fb848b47a8.js       |   1 -
 .../chunks/app/page-e21d4be3d6c3c16e.js       |   1 +
 ...80647d.js => main-app-4f7318ae681a6d94.js} |   2 +-
 .../_buildManifest.js                         |   0
 .../_ssgManifest.js                           |   0
 .../out/assets/logos/anthropic.svg            |   5 +
 .../out/assets/logos/assemblyai_small.png     | Bin 0 -> 414 bytes
 ui/litellm-dashboard/out/assets/logos/aws.svg |  34 +++++++
 .../out/assets/logos/bedrock.svg              |   1 +
 .../out/assets/logos/cerebras.svg             |  89 ++++++++++++++++++
 .../out/assets/logos/cohere.svg               |   1 +
 .../out/assets/logos/databricks.svg           |   1 +
 .../out/assets/logos/deepseek.svg             |  25 +++++
 .../out/assets/logos/fireworks.svg            |   1 +
 .../out/assets/logos/google.svg               |   2 +
 .../out/assets/logos/groq.svg                 |   3 +
 .../out/assets/logos/microsoft_azure.svg      |  72 ++++++++++++++
 .../out/assets/logos/mistral.svg              |   1 +
 .../out/assets/logos/ollama.svg               |   7 ++
 .../out/assets/logos/openai_small.svg         |   5 +
 .../out/assets/logos/openrouter.svg           |  39 ++++++++
 .../out/assets/logos/perplexity-ai.svg        |  16 ++++
 .../out/assets/logos/sambanova.svg            |   1 +
 .../out/assets/logos/togetherai.svg           |  14 +++
 ui/litellm-dashboard/out/assets/logos/xai.svg |  28 ++++++
 ui/litellm-dashboard/out/index.html           |   2 +-
 ui/litellm-dashboard/out/index.txt            |   4 +-
 ui/litellm-dashboard/out/model_hub.html       |   2 +-
 ui/litellm-dashboard/out/model_hub.txt        |   4 +-
 ui/litellm-dashboard/out/onboarding.html      |   2 +-
 ui/litellm-dashboard/out/onboarding.txt       |   4 +-
 .../src/components/model_dashboard.tsx        |  14 ++-
 82 files changed, 770 insertions(+), 51 deletions(-)
 create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/250-601568e45a5ffece.js
 delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/250-a75ee9d79f1140b0.js
 rename ui/litellm-dashboard/out/_next/static/chunks/394-0222ddf4d701e0b4.js => litellm/proxy/_experimental/out/_next/static/chunks/394-48a36e9c9b2cb488.js (66%)
 create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/layout-429ad74a94df7643.js
 delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/layout-af8319e6c59a08da.js
 rename ui/litellm-dashboard/out/_next/static/chunks/app/model_hub/page-068a441595bd0fc3.js => litellm/proxy/_experimental/out/_next/static/chunks/app/model_hub/page-cde2fb783e81a6c1.js (60%)
 delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/onboarding/page-1ffe69692e4b2037.js
 create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/onboarding/page-5110f2c6a3c9a2f4.js
 delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/page-75d771fb848b47a8.js
 create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/page-e21d4be3d6c3c16e.js
 rename litellm/proxy/_experimental/out/_next/static/chunks/{main-app-475d6efe4080647d.js => main-app-4f7318ae681a6d94.js} (54%)
 rename litellm/proxy/_experimental/out/_next/static/{9yIyUkG6nV2cO0gn7kJ-Q => soi--ciJeUE6G2Fk4NMBG}/_buildManifest.js (100%)
 rename litellm/proxy/_experimental/out/_next/static/{9yIyUkG6nV2cO0gn7kJ-Q => soi--ciJeUE6G2Fk4NMBG}/_ssgManifest.js (100%)
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/anthropic.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/assemblyai_small.png
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/aws.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/bedrock.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/cerebras.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/cohere.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/databricks.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/deepseek.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/fireworks.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/google.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/groq.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/microsoft_azure.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/mistral.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/ollama.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/openai_small.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/openrouter.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/perplexity-ai.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/sambanova.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/togetherai.svg
 create mode 100644 litellm/proxy/_experimental/out/assets/logos/xai.svg
 create mode 100644 ui/litellm-dashboard/out/_next/static/chunks/250-601568e45a5ffece.js
 delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/250-a75ee9d79f1140b0.js
 rename litellm/proxy/_experimental/out/_next/static/chunks/394-0222ddf4d701e0b4.js => ui/litellm-dashboard/out/_next/static/chunks/394-48a36e9c9b2cb488.js (66%)
 create mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/layout-429ad74a94df7643.js
 delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/layout-af8319e6c59a08da.js
 rename litellm/proxy/_experimental/out/_next/static/chunks/app/model_hub/page-068a441595bd0fc3.js => ui/litellm-dashboard/out/_next/static/chunks/app/model_hub/page-cde2fb783e81a6c1.js (60%)
 delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/onboarding/page-1ffe69692e4b2037.js
 create mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/onboarding/page-5110f2c6a3c9a2f4.js
 delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/page-75d771fb848b47a8.js
 create mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/page-e21d4be3d6c3c16e.js
 rename ui/litellm-dashboard/out/_next/static/chunks/{main-app-475d6efe4080647d.js => main-app-4f7318ae681a6d94.js} (54%)
 rename ui/litellm-dashboard/out/_next/static/{9yIyUkG6nV2cO0gn7kJ-Q => soi--ciJeUE6G2Fk4NMBG}/_buildManifest.js (100%)
 rename ui/litellm-dashboard/out/_next/static/{9yIyUkG6nV2cO0gn7kJ-Q => soi--ciJeUE6G2Fk4NMBG}/_ssgManifest.js (100%)
 create mode 100644 ui/litellm-dashboard/out/assets/logos/anthropic.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/assemblyai_small.png
 create mode 100644 ui/litellm-dashboard/out/assets/logos/aws.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/bedrock.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/cerebras.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/cohere.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/databricks.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/deepseek.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/fireworks.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/google.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/groq.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/microsoft_azure.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/mistral.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/ollama.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/openai_small.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/openrouter.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/perplexity-ai.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/sambanova.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/togetherai.svg
 create mode 100644 ui/litellm-dashboard/out/assets/logos/xai.svg

diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/250-601568e45a5ffece.js b/litellm/proxy/_experimental/out/_next/static/chunks/250-601568e45a5ffece.js
new file mode 100644
index 0000000000..e6ec4d178e
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/250-601568e45a5ffece.js
@@ -0,0 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/250-a75ee9d79f1140b0.js b/litellm/proxy/_experimental/out/_next/static/chunks/250-a75ee9d79f1140b0.js
deleted file mode 100644
index 882840d12b..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/250-a75ee9d79f1140b0.js
+++ /dev/null
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diff --git a/ui/litellm-dashboard/out/_next/static/chunks/394-0222ddf4d701e0b4.js b/litellm/proxy/_experimental/out/_next/static/chunks/394-48a36e9c9b2cb488.js
similarity index 66%
rename from ui/litellm-dashboard/out/_next/static/chunks/394-0222ddf4d701e0b4.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/394-48a36e9c9b2cb488.js
index f6dfcd861e..fa8ff4bc05 100644
--- a/ui/litellm-dashboard/out/_next/static/chunks/394-0222ddf4d701e0b4.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/394-48a36e9c9b2cb488.js
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r=c.props.onMouseMove;l()(r)&&r(n,e)}),tn(e3(c),"handleItemMouseEnter",function(e){c.setState(function(){return{isTooltipActive:!0,activeItem:e,activePayload:e.tooltipPayload,activeCoordinate:e.tooltipPosition||{x:e.cx,y:e.cy}}})}),tn(e3(c),"handleItemMouseLeave",function(){c.setState(function(){return{isTooltipActive:!1}})}),tn(e3(c),"handleMouseMove",function(e){e.persist(),c.throttleTriggeredAfterMouseMove(e)}),tn(e3(c),"handleMouseLeave",function(e){var t={isTooltipActive:!1};c.setState(t),c.triggerSyncEvent(t);var n=c.props.onMouseLeave;l()(n)&&n(t,e)}),tn(e3(c),"handleOuterEvent",function(e){var t,n=(0,P.Bh)(e),r=d()(c.props,"".concat(n));n&&l()(r)&&r(null!==(t=/.*touch.*/i.test(n)?c.getMouseInfo(e.changedTouches[0]):c.getMouseInfo(e))&&void 0!==t?t:{},e)}),tn(e3(c),"handleClick",function(e){var t=c.getMouseInfo(e);if(t){var n=tt(tt({},t),{},{isTooltipActive:!0});c.setState(n),c.triggerSyncEvent(n);var r=c.props.onClick;l()(r)&&r(n,e)}}),tn(e3(c),"handleMouseDown",function(e){var t=c.props.onMouseDown;l()(t)&&t(c.getMouseInfo(e),e)}),tn(e3(c),"handleMouseUp",function(e){var t=c.props.onMouseUp;l()(t)&&t(c.getMouseInfo(e),e)}),tn(e3(c),"handleTouchMove",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.throttleTriggeredAfterMouseMove(e.changedTouches[0])}),tn(e3(c),"handleTouchStart",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.handleMouseDown(e.changedTouches[0])}),tn(e3(c),"handleTouchEnd",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.handleMouseUp(e.changedTouches[0])}),tn(e3(c),"triggerSyncEvent",function(e){void 0!==c.props.syncId&&eR.emit(eT,c.props.syncId,e,c.eventEmitterSymbol)}),tn(e3(c),"applySyncEvent",function(e){var t=c.props,n=t.layout,r=t.syncMethod,o=c.state.updateId,i=e.dataStartIndex,a=e.dataEndIndex;if(void 0!==e.dataStartIndex||void 0!==e.dataEndIndex)c.setState(tt({dataStartIndex:i,dataEndIndex:a},C({props:c.props,dataStartIndex:i,dataEndIndex:a,updateId:o},c.state)));else if(void 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r.createElement(eY,{key:m,activeCoordinate:a,activePayload:l,activeTooltipIndex:u,chartName:n,element:e,isActive:p,layout:h,offset:s,tooltipAxisBandSize:d,tooltipEventType:f})}),tn(e3(c),"renderPolarAxis",function(e,t,n){var o=d()(e,"type.axisType"),i=d()(c.state,"".concat(o,"Map")),a=i&&i[e.props["".concat(o,"Id")]];return(0,r.cloneElement)(e,tt(tt({},a),{},{className:o,key:e.key||"".concat(t,"-").concat(n),ticks:(0,I.uY)(a,!0)}))}),tn(e3(c),"renderGrid",function(e){var t=c.state,n=t.xAxisMap,o=t.yAxisMap,i=t.offset,a=(0,R.Kt)(n),l=v()(o,function(e){return b()(e.domain,Number.isFinite)})||(0,R.Kt)(o),s=e.props||{};return(0,r.cloneElement)(e,{key:e.key||"grid",x:(0,R.hj)(s.x)?s.x:i.left,y:(0,R.hj)(s.y)?s.y:i.top,width:(0,R.hj)(s.width)?s.width:i.width,height:(0,R.hj)(s.height)?s.height:i.height,xAxis:a,yAxis:l,verticalCoordinatesGenerator:s.verticalCoordinatesGenerator,horizontalCoordinatesGenerator:s.horizontalCoordinatesGenerator})}),tn(e3(c),"renderPolarGrid",function(e){var t=e.props,n=t.radialLines,o=t.polarAngles,i=t.polarRadius,a=c.state,l=a.radiusAxisMap,s=a.angleAxisMap,u=(0,R.Kt)(l),d=(0,R.Kt)(s),f=d.cx,p=d.cy,h=d.innerRadius,m=d.outerRadius;return(0,r.cloneElement)(e,{polarAngles:Array.isArray(o)?o:(0,I.uY)(d,!0).map(function(e){return e.coordinate}),polarRadius:Array.isArray(i)?i:(0,I.uY)(u,!0).map(function(e){return e.coordinate}),cx:f,cy:p,innerRadius:h,outerRadius:m,key:e.key||"polar-grid",radialLines:n})}),tn(e3(c),"renderLegend",function(){var e=c.state.formattedGraphicalItems,t=c.props,n=t.children,o=t.width,i=t.height,a=c.props.margin||{},l=o-(a.left||0)-(a.right||0),s=(0,J.z)({children:n,formattedGraphicalItems:e,legendWidth:l,legendContent:p});if(!s)return null;var u=s.item,d=e6(s,eQ);return(0,r.cloneElement)(u,tt(tt({},d),{},{chartWidth:o,chartHeight:i,margin:a,onBBoxUpdate:c.handleLegendBBoxUpdate}))}),tn(e3(c),"renderTooltip",function(){var e,t=c.props.children,n=(0,P.sP)(t,E.u);if(!n)return null;var o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,l=o.activePayload,s=o.activeLabel,u=o.offset,d=null!==(e=n.props.active)&&void 0!==e?e:i;return(0,r.cloneElement)(n,{viewBox:tt(tt({},u),{},{x:u.left,y:u.top}),active:d,label:s,payload:d?l:[],coordinate:a})}),tn(e3(c),"renderBrush",function(e){var t=c.props,n=t.margin,o=t.data,i=c.state,a=i.offset,l=i.dataStartIndex,s=i.dataEndIndex,u=i.updateId;return(0,r.cloneElement)(e,{key:e.key||"_recharts-brush",onChange:(0,I.DO)(c.handleBrushChange,e.props.onChange),data:o,x:(0,R.hj)(e.props.x)?e.props.x:a.left,y:(0,R.hj)(e.props.y)?e.props.y:a.top+a.height+a.brushBottom-(n.bottom||0),width:(0,R.hj)(e.props.width)?e.props.width:a.width,startIndex:l,endIndex:s,updateId:"brush-".concat(u)})}),tn(e3(c),"renderReferenceElement",function(e,t,n){if(!e)return null;var o=e3(c).clipPathId,i=c.state,a=i.xAxisMap,l=i.yAxisMap,s=i.offset,u=e.props,d=u.xAxisId,f=u.yAxisId;return(0,r.cloneElement)(e,{key:e.key||"".concat(t,"-").concat(n),xAxis:a[d],yAxis:l[f],viewBox:{x:s.left,y:s.top,width:s.width,height:s.height},clipPathId:o})}),tn(e3(c),"renderActivePoints",function(e){var t=e.item,n=e.activePoint,r=e.basePoint,o=e.childIndex,i=e.isRange,a=[],l=t.props.key,c=t.item.props,u=c.activeDot,d=tt(tt({index:o,dataKey:c.dataKey,cx:n.x,cy:n.y,r:4,fill:(0,I.fk)(t.item),strokeWidth:2,stroke:"#fff",payload:n.payload,value:n.value,key:"".concat(l,"-activePoint-").concat(o)},(0,P.L6)(u,!1)),(0,eA.Ym)(u));return a.push(s.renderActiveDot(u,d)),r?a.push(s.renderActiveDot(u,tt(tt({},d),{},{cx:r.x,cy:r.y,key:"".concat(l,"-basePoint-").concat(o)}))):i&&a.push(null),a}),tn(e3(c),"renderGraphicChild",function(e,t,n){var o=c.filterFormatItem(e,t,n);if(!o)return null;var a=c.getTooltipEventType(),l=c.state,s=l.isTooltipActive,u=l.tooltipAxis,d=l.activeTooltipIndex,f=l.activeLabel,p=c.props.children,h=(0,P.sP)(p,E.u),m=o.props,g=m.points,v=m.isRange,y=m.baseLine,b=o.item.props,x=b.activeDot,w=b.hide,S=b.activeBar,k=b.activeShape,C={};"axis"!==a&&h&&"click"===h.props.trigger?C={onClick:(0,I.DO)(c.handleItemMouseEnter,e.props.onClick)}:"axis"!==a&&(C={onMouseLeave:(0,I.DO)(c.handleItemMouseLeave,e.props.onMouseLeave),onMouseEnter:(0,I.DO)(c.handleItemMouseEnter,e.props.onMouseEnter)});var O=(0,r.cloneElement)(e,tt(tt({},o.props),C));if(!w&&s&&h&&(x||S||k)){if(d>=0){if(u.dataKey&&!u.allowDuplicatedCategory){var j="function"==typeof u.dataKey?function(e){return"function"==typeof u.dataKey?u.dataKey(e.payload):null}:"payload.".concat(u.dataKey.toString());M=(0,R.Ap)(g,j,f),T=v&&y&&(0,R.Ap)(y,j,f)}else M=null==g?void 0:g[d],T=v&&y&&y[d];if(k||S){var N=void 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l=this.state.tooltipTicks[a]&&this.state.tooltipTicks[a].value,c=td(this.state,n,a,l),s=this.state.tooltipTicks[a].coordinate,u=(this.state.offset.top+r)/2,d="horizontal"===o?{x:s,y:u}:{y:s,x:u},f=this.state.formattedGraphicalItems.find(function(e){return"Scatter"===e.item.type.name});f&&(d=tt(tt({},d),f.props.points[a].tooltipPosition),c=f.props.points[a].tooltipPayload);var p={activeTooltipIndex:a,isTooltipActive:!0,activeLabel:l,activePayload:c,activeCoordinate:d};this.setState(p),this.renderCursor(i),this.accessibilityManager.setIndex(a)}}}},{key:"getSnapshotBeforeUpdate",value:function(e,t){if(!this.props.accessibilityLayer)return null;if(this.state.tooltipTicks!==t.tooltipTicks&&this.accessibilityManager.setDetails({coordinateList:this.state.tooltipTicks}),this.props.layout!==e.layout&&this.accessibilityManager.setDetails({layout:this.props.layout}),this.props.margin!==e.margin){var n,r;this.accessibilityManager.setDetails({offset:{left:null!==(n=this.props.margin.left)&&void 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u=(0,R.Kt)(c).scale,d=(0,R.Kt)(s).scale,f=u&&u.invert?u.invert(o.chartX):null,p=d&&d.invert?d.invert(o.chartY):null;return tt(tt({},o),{},{xValue:f,yValue:p})}var h=tf(this.state,this.props.data,this.props.layout,a);return h?tt(tt({},o),h):null}},{key:"inRange",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=this.props.layout,o=e/n,i=t/n;if("horizontal"===r||"vertical"===r){var a=this.state.offset;return o>=a.left&&o<=a.left+a.width&&i>=a.top&&i<=a.top+a.height?{x:o,y:i}:null}var l=this.state,c=l.angleAxisMap,s=l.radiusAxisMap;if(c&&s){var u=(0,R.Kt)(c);return(0,eN.z3)({x:o,y:i},u)}return null}},{key:"parseEventsOfWrapper",value:function(){var e=this.props.children,t=this.getTooltipEventType(),n=(0,P.sP)(e,E.u),r={};return n&&"axis"===t&&(r="click"===n.props.trigger?{onClick:this.handleClick}:{onMouseEnter:this.handleMouseEnter,onMouseMove:this.handleMouseMove,onMouseLeave:this.handleMouseLeave,onTouchMove:this.handleTouchMove,onTouchStart:this.handleTouchStart,onTouchEnd:this.handleTouchEnd}),tt(tt({},(0,eA.Ym)(this.props,this.handleOuterEvent)),r)}},{key:"addListener",value:function(){eR.on(eT,this.handleReceiveSyncEvent)}},{key:"removeListener",value:function(){eR.removeListener(eT,this.handleReceiveSyncEvent)}},{key:"filterFormatItem",value:function(e,t,n){for(var r=this.state.formattedGraphicalItems,o=0,i=r.length;o<i;o++){var a=r[o];if(a.item===e||a.props.key===e.key||t===(0,P.Gf)(a.item.type)&&n===a.childIndex)return a}return null}},{key:"renderClipPath",value:function(){var e=this.clipPathId,t=this.state.offset,n=t.left,o=t.top,i=t.height,a=t.width;return r.createElement("defs",null,r.createElement("clipPath",{id:e},r.createElement("rect",{x:n,y:o,height:i,width:a})))}},{key:"getXScales",value:function(){var e=this.state.xAxisMap;return e?Object.entries(e).reduce(function(e,t){var n=e2(t,2),r=n[0],o=n[1];return tt(tt({},e),{},tn({},r,o.scale))},{}):null}},{key:"getYScales",value:function(){var e=this.state.yAxisMap;return e?Object.entries(e).reduce(function(e,t){var n=e2(t,2),r=n[0],o=n[1];return tt(tt({},e),{},tn({},r,o.scale))},{}):null}},{key:"getXScaleByAxisId",value:function(e){var t;return null===(t=this.state.xAxisMap)||void 0===t||null===(t=t[e])||void 0===t?void 0:t.scale}},{key:"getYScaleByAxisId",value:function(e){var t;return null===(t=this.state.yAxisMap)||void 0===t||null===(t=t[e])||void 0===t?void 0:t.scale}},{key:"getItemByXY",value:function(e){var t=this.state,n=t.formattedGraphicalItems,r=t.activeItem;if(n&&n.length)for(var o=0,i=n.length;o<i;o++){var a=n[o],l=a.props,c=a.item,s=(0,P.Gf)(c.type);if("Bar"===s){var u=(l.data||[]).find(function(t){return(0,j.X)(e,t)});if(u)return{graphicalItem:a,payload:u}}else if("RadialBar"===s){var d=(l.data||[]).find(function(t){return(0,eN.z3)(e,t)});if(d)return{graphicalItem:a,payload:d}}else if((0,ez.lT)(a,r)||(0,ez.V$)(a,r)||(0,ez.w7)(a,r)){var f=(0,ez.a3)({graphicalItem:a,activeTooltipItem:r,itemData:c.props.data}),p=void 0===c.props.activeIndex?f:c.props.activeIndex;return{graphicalItem:tt(tt({},a),{},{childIndex:p}),payload:(0,ez.w7)(a,r)?c.props.data[f]:a.props.data[f]}}}return null}},{key:"render",value:function(){var e,t,n=this;if(!(0,P.TT)(this))return null;var o=this.props,i=o.children,a=o.className,l=o.width,c=o.height,s=o.style,u=o.compact,d=o.title,f=o.desc,p=e6(o,eJ),h=(0,P.L6)(p,!1);if(u)return r.createElement(S.T,e1({},h,{width:l,height:c,title:d,desc:f}),this.renderClipPath(),(0,P.eu)(i,this.renderMap));this.props.accessibilityLayer&&(h.tabIndex=null!==(e=this.props.tabIndex)&&void 0!==e?e:0,h.role=null!==(t=this.props.role)&&void 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new file mode 100644
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diff --git a/litellm/proxy/_experimental/out/assets/logos/cohere.svg b/litellm/proxy/_experimental/out/assets/logos/cohere.svg
new file mode 100644
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 1:null
diff --git a/litellm/proxy/_experimental/out/model_hub.txt b/litellm/proxy/_experimental/out/model_hub.txt
index 30811ef39a..d66d0b8562 100644
--- a/litellm/proxy/_experimental/out/model_hub.txt
+++ b/litellm/proxy/_experimental/out/model_hub.txt
@@ -1,7 +1,7 @@
 2:I[19107,[],"ClientPageRoot"]
-3:I[52829,["42","static/chunks/42-1cbed529ecb084e0.js","261","static/chunks/261-57d48f76eec1e568.js","250","static/chunks/250-a75ee9d79f1140b0.js","699","static/chunks/699-2a1c30f260f44c15.js","418","static/chunks/app/model_hub/page-068a441595bd0fc3.js"],"default",1]
+3:I[52829,["42","static/chunks/42-1cbed529ecb084e0.js","261","static/chunks/261-57d48f76eec1e568.js","250","static/chunks/250-601568e45a5ffece.js","699","static/chunks/699-2a1c30f260f44c15.js","418","static/chunks/app/model_hub/page-cde2fb783e81a6c1.js"],"default",1]
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 1:null
diff --git a/litellm/proxy/_experimental/out/onboarding.txt b/litellm/proxy/_experimental/out/onboarding.txt
index b92be5ba72..bdb7caa346 100644
--- a/litellm/proxy/_experimental/out/onboarding.txt
+++ b/litellm/proxy/_experimental/out/onboarding.txt
@@ -1,7 +1,7 @@
 2:I[19107,[],"ClientPageRoot"]
-3:I[12011,["665","static/chunks/3014691f-0b72c78cfebbd712.js","42","static/chunks/42-1cbed529ecb084e0.js","899","static/chunks/899-9af4feaf6f21839c.js","250","static/chunks/250-a75ee9d79f1140b0.js","461","static/chunks/app/onboarding/page-1ffe69692e4b2037.js"],"default",1]
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 1:null
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index b9a5765ee4..e57c5f3980 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -19,19 +19,10 @@ model_list:
 
 litellm_settings:
   num_retries: 0
+  callbacks: ["prometheus"]
 
 router_settings:
   routing_strategy: usage-based-routing-v2 # 👈 KEY CHANGE
   redis_host: os.environ/REDIS_HOST
   redis_password: os.environ/REDIS_PASSWORD
   redis_port: os.environ/REDIS_PORT
-
-general_settings:
-  enable_jwt_auth: True
-  litellm_jwtauth:
-    admin_jwt_scope: "ai.admin"
-    # team_id_jwt_field: "client_id" # 👈 CAN BE ANY FIELD
-    user_id_jwt_field: "sub" # 👈 CAN BE ANY FIELD
-    org_id_jwt_field: "org_id" # 👈 CAN BE ANY FIELD
-    end_user_id_jwt_field: "customer_id" # 👈 CAN BE ANY FIELD
-    user_id_upsert: True
\ No newline at end of file
diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index f83abe77be..88245e36d1 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -405,9 +405,24 @@ class ModelManagementAuthChecks:
             model_params.model_info is not None
             and model_params.model_info.team_id is not None
         ):
+            team_obj_row = await prisma_client.db.litellm_teamtable.find_unique(
+                where={"team_id": model_params.model_info.team_id}
+            )
+            if team_obj_row is None:
+                raise HTTPException(
+                    status_code=400,
+                    detail={
+                        "error": "Team id={} does not exist in db".format(
+                            model_params.model_info.team_id
+                        )
+                    },
+                )
+            team_obj = LiteLLM_TeamTable(**team_obj_row.model_dump())
+
             return ModelManagementAuthChecks.can_user_make_team_model_call(
                 team_id=model_params.model_info.team_id,
                 user_api_key_dict=user_api_key_dict,
+                team_obj=team_obj,
                 premium_user=premium_user,
             )
         ## Check non-team model auth
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 5d7e92fd73..87f34a8984 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -3436,6 +3436,7 @@ async def model_list(
     else:
         proxy_model_list = llm_router.get_model_names()
         model_access_groups = llm_router.get_model_access_groups()
+
     key_models = get_key_models(
         user_api_key_dict=user_api_key_dict,
         proxy_model_list=proxy_model_list,
@@ -3445,6 +3446,7 @@ async def model_list(
     team_models: List[str] = user_api_key_dict.team_models
 
     if team_id:
+        key_models = []
         team_object = await get_team_object(
             team_id=team_id,
             prisma_client=prisma_client,
@@ -3461,7 +3463,7 @@ async def model_list(
     )
 
     all_models = get_complete_model_list(
-        key_models=key_models if not team_models else [],
+        key_models=key_models,
         team_models=team_models,
         proxy_model_list=proxy_model_list,
         user_model=user_model,
@@ -6895,6 +6897,14 @@ async def login(request: Request):  # noqa: PLR0915
         user_email = getattr(_user_row, "user_email", "unknown")
         _password = getattr(_user_row, "password", "unknown")
 
+        if _password is None:
+            raise ProxyException(
+                message="User has no password set. Please set a password for the user via `/user/update`.",
+                type=ProxyErrorTypes.auth_error,
+                param="password",
+                code=status.HTTP_401_UNAUTHORIZED,
+            )
+
         # check if password == _user_row.password
         hash_password = hash_token(token=password)
         if secrets.compare_digest(password, _password) or secrets.compare_digest(
diff --git a/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py
index 49e3150e61..3bed3fc761 100644
--- a/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -23,8 +23,9 @@ from litellm.types.router import Deployment, LiteLLM_Params, updateDeployment
 
 
 class MockPrismaClient:
-    def __init__(self, team_exists: bool = True):
+    def __init__(self, team_exists: bool = True, user_admin: bool = True):
         self.team_exists = team_exists
+        self.user_admin = user_admin
         self.db = self
 
     async def find_unique(self, where):
@@ -32,7 +33,11 @@ class MockPrismaClient:
             return LiteLLM_TeamTable(
                 team_id=where["team_id"],
                 team_alias="test_team",
-                members_with_roles=[Member(user_id="test_user", role="admin")],
+                members_with_roles=[
+                    Member(
+                        user_id="test_user", role="admin" if self.user_admin else "user"
+                    )
+                ],
             )
         return None
 
@@ -164,7 +169,7 @@ class TestModelManagementAuthChecks:
             ),
             model_info={"team_id": "test_team"},
         )
-        prisma_client = MockPrismaClient()
+        prisma_client = MockPrismaClient(team_exists=True)
 
         result = await ModelManagementAuthChecks.can_user_make_model_call(
             model_params=model_params,
@@ -184,7 +189,7 @@ class TestModelManagementAuthChecks:
             ),
             model_info={"team_id": "test_team"},
         )
-        prisma_client = MockPrismaClient()
+        prisma_client = MockPrismaClient(team_exists=True, user_admin=False)
 
         with pytest.raises(Exception) as exc_info:
             await ModelManagementAuthChecks.can_user_make_model_call(
diff --git a/ui/litellm-dashboard/out/404.html b/ui/litellm-dashboard/out/404.html
index 691dfd3c38..7f8add9bb7 100644
--- a/ui/litellm-dashboard/out/404.html
+++ b/ui/litellm-dashboard/out/404.html
@@ -1 +1 @@
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diff --git a/ui/litellm-dashboard/out/_next/static/chunks/250-a75ee9d79f1140b0.js b/ui/litellm-dashboard/out/_next/static/chunks/250-a75ee9d79f1140b0.js
deleted file mode 100644
index 882840d12b..0000000000
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+++ /dev/null
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/394-0222ddf4d701e0b4.js b/ui/litellm-dashboard/out/_next/static/chunks/394-48a36e9c9b2cb488.js
similarity index 66%
rename from litellm/proxy/_experimental/out/_next/static/chunks/394-0222ddf4d701e0b4.js
rename to ui/litellm-dashboard/out/_next/static/chunks/394-48a36e9c9b2cb488.js
index f6dfcd861e..fa8ff4bc05 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/394-0222ddf4d701e0b4.js
+++ b/ui/litellm-dashboard/out/_next/static/chunks/394-48a36e9c9b2cb488.js
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r=e.state,o=r.dragChildrenKeys,i=r.flattenNodes,a=r.keyEntities,l=r.expandedKeys,c=r.indent,s=e.props,u=s.onDragOver,d=s.allowDrop,f=s.direction,p=(0,eV.Z)(e).dragNode;if(p){var 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r=e.props.onDragLeave;null==r||r({event:t,node:e5(n.props)})},e.onWindowDragEnd=function(t){e.onNodeDragEnd(t,null,!0),window.removeEventListener("dragend",e.onWindowDragEnd)},e.onNodeDragEnd=function(t,n){var r=e.props.onDragEnd;e.setState({dragOverNodeKey:null}),e.cleanDragState(),null==r||r({event:t,node:e5(n.props)}),e.dragNode=null,window.removeEventListener("dragend",e.onWindowDragEnd)},e.onNodeDrop=function(t,n){var r,o=arguments.length>2&&void 0!==arguments[2]&&arguments[2],i=e.state,a=i.dragChildrenKeys,l=i.dropPosition,c=i.dropTargetKey,s=i.dropTargetPos;if(i.dropAllowed){var u=e.props.onDrop;if(e.setState({dragOverNodeKey:null}),e.cleanDragState(),null!==c){var d=(0,C.Z)((0,C.Z)({},e3(c,e.getTreeNodeRequiredProps())),{},{active:(null===(r=e.getActiveItem())||void 0===r?void 0:r.key)===c,data:e.state.keyEntities[c].node}),f=-1!==a.indexOf(c);(0,I.ZP)(!f,"Can not drop to dragNode's children node. 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e=t?Reflect.construct(n,arguments,e5(this).constructor):n.apply(this,arguments),function(e,t){if(t&&("object"===e0(t)||"function"==typeof t))return t;if(void 0!==t)throw TypeError("Derived constructors may only return object or undefined");return e3(e)}(this,e)});function s(e){var t,o,c;return function(e,t){if(!(e instanceof t))throw TypeError("Cannot call a class as a function")}(this,s),tn(e3(c=a.call(this,e)),"eventEmitterSymbol",Symbol("rechartsEventEmitter")),tn(e3(c),"accessibilityManager",new eL),tn(e3(c),"handleLegendBBoxUpdate",function(e){if(e){var t=c.state,n=t.dataStartIndex,r=t.dataEndIndex,o=t.updateId;c.setState(tt({legendBBox:e},C({props:c.props,dataStartIndex:n,dataEndIndex:r,updateId:o},tt(tt({},c.state),{},{legendBBox:e}))))}}),tn(e3(c),"handleReceiveSyncEvent",function(e,t,n){c.props.syncId===e&&(n!==c.eventEmitterSymbol||"function"==typeof c.props.syncMethod)&&c.applySyncEvent(t)}),tn(e3(c),"handleBrushChange",function(e){var t=e.startIndex,n=e.endIndex;if(t!==c.state.dataStartIndex||n!==c.state.dataEndIndex){var r=c.state.updateId;c.setState(function(){return tt({dataStartIndex:t,dataEndIndex:n},C({props:c.props,dataStartIndex:t,dataEndIndex:n,updateId:r},c.state))}),c.triggerSyncEvent({dataStartIndex:t,dataEndIndex:n})}}),tn(e3(c),"handleMouseEnter",function(e){var t=c.getMouseInfo(e);if(t){var n=tt(tt({},t),{},{isTooltipActive:!0});c.setState(n),c.triggerSyncEvent(n);var r=c.props.onMouseEnter;l()(r)&&r(n,e)}}),tn(e3(c),"triggeredAfterMouseMove",function(e){var t=c.getMouseInfo(e),n=t?tt(tt({},t),{},{isTooltipActive:!0}):{isTooltipActive:!1};c.setState(n),c.triggerSyncEvent(n);var 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t=c.props.onMouseDown;l()(t)&&t(c.getMouseInfo(e),e)}),tn(e3(c),"handleMouseUp",function(e){var t=c.props.onMouseUp;l()(t)&&t(c.getMouseInfo(e),e)}),tn(e3(c),"handleTouchMove",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.throttleTriggeredAfterMouseMove(e.changedTouches[0])}),tn(e3(c),"handleTouchStart",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.handleMouseDown(e.changedTouches[0])}),tn(e3(c),"handleTouchEnd",function(e){null!=e.changedTouches&&e.changedTouches.length>0&&c.handleMouseUp(e.changedTouches[0])}),tn(e3(c),"triggerSyncEvent",function(e){void 0!==c.props.syncId&&eR.emit(eT,c.props.syncId,e,c.eventEmitterSymbol)}),tn(e3(c),"applySyncEvent",function(e){var t=c.props,n=t.layout,r=t.syncMethod,o=c.state.updateId,i=e.dataStartIndex,a=e.dataEndIndex;if(void 0!==e.dataStartIndex||void 0!==e.dataEndIndex)c.setState(tt({dataStartIndex:i,dataEndIndex:a},C({props:c.props,dataStartIndex:i,dataEndIndex:a,updateId:o},c.state)));else if(void 0!==e.activeTooltipIndex){var l=e.chartX,s=e.chartY,u=e.activeTooltipIndex,d=c.state,f=d.offset,p=d.tooltipTicks;if(!f)return;if("function"==typeof r)u=r(p,e);else if("value"===r){u=-1;for(var h=0;h<p.length;h++)if(p[h].value===e.activeLabel){u=h;break}}var m=tt(tt({},f),{},{x:f.left,y:f.top}),g=Math.min(l,m.x+m.width),v=Math.min(s,m.y+m.height),y=p[u]&&p[u].value,b=td(c.state,c.props.data,u),x=p[u]?{x:"horizontal"===n?p[u].coordinate:g,y:"horizontal"===n?v:p[u].coordinate}:ta;c.setState(tt(tt({},e),{},{activeLabel:y,activeCoordinate:x,activePayload:b,activeTooltipIndex:u}))}else c.setState(e)}),tn(e3(c),"renderCursor",function(e){var t,o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,l=o.activePayload,s=o.offset,u=o.activeTooltipIndex,d=o.tooltipAxisBandSize,f=c.getTooltipEventType(),p=null!==(t=e.props.active)&&void 0!==t?t:i,h=c.props.layout,m=e.key||"_recharts-cursor";return r.createElement(eY,{key:m,activeCoordinate:a,activePayload:l,activeTooltipIndex:u,chartName:n,element:e,isActive:p,layout:h,offset:s,tooltipAxisBandSize:d,tooltipEventType:f})}),tn(e3(c),"renderPolarAxis",function(e,t,n){var o=d()(e,"type.axisType"),i=d()(c.state,"".concat(o,"Map")),a=i&&i[e.props["".concat(o,"Id")]];return(0,r.cloneElement)(e,tt(tt({},a),{},{className:o,key:e.key||"".concat(t,"-").concat(n),ticks:(0,I.uY)(a,!0)}))}),tn(e3(c),"renderGrid",function(e){var t=c.state,n=t.xAxisMap,o=t.yAxisMap,i=t.offset,a=(0,R.Kt)(n),l=v()(o,function(e){return b()(e.domain,Number.isFinite)})||(0,R.Kt)(o),s=e.props||{};return(0,r.cloneElement)(e,{key:e.key||"grid",x:(0,R.hj)(s.x)?s.x:i.left,y:(0,R.hj)(s.y)?s.y:i.top,width:(0,R.hj)(s.width)?s.width:i.width,height:(0,R.hj)(s.height)?s.height:i.height,xAxis:a,yAxis:l,verticalCoordinatesGenerator:s.verticalCoordinatesGenerator,horizontalCoordinatesGenerator:s.horizontalCoordinatesGenerator})}),tn(e3(c),"renderPolarGrid",function(e){var t=e.props,n=t.radialLines,o=t.polarAngles,i=t.polarRadius,a=c.state,l=a.radiusAxisMap,s=a.angleAxisMap,u=(0,R.Kt)(l),d=(0,R.Kt)(s),f=d.cx,p=d.cy,h=d.innerRadius,m=d.outerRadius;return(0,r.cloneElement)(e,{polarAngles:Array.isArray(o)?o:(0,I.uY)(d,!0).map(function(e){return e.coordinate}),polarRadius:Array.isArray(i)?i:(0,I.uY)(u,!0).map(function(e){return e.coordinate}),cx:f,cy:p,innerRadius:h,outerRadius:m,key:e.key||"polar-grid",radialLines:n})}),tn(e3(c),"renderLegend",function(){var e=c.state.formattedGraphicalItems,t=c.props,n=t.children,o=t.width,i=t.height,a=c.props.margin||{},l=o-(a.left||0)-(a.right||0),s=(0,J.z)({children:n,formattedGraphicalItems:e,legendWidth:l,legendContent:p});if(!s)return null;var u=s.item,d=e6(s,eQ);return(0,r.cloneElement)(u,tt(tt({},d),{},{chartWidth:o,chartHeight:i,margin:a,onBBoxUpdate:c.handleLegendBBoxUpdate}))}),tn(e3(c),"renderTooltip",function(){var e,t=c.props.children,n=(0,P.sP)(t,E.u);if(!n)return null;var o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,l=o.activePayload,s=o.activeLabel,u=o.offset,d=null!==(e=n.props.active)&&void 0!==e?e:i;return(0,r.cloneElement)(n,{viewBox:tt(tt({},u),{},{x:u.left,y:u.top}),active:d,label:s,payload:d?l:[],coordinate:a})}),tn(e3(c),"renderBrush",function(e){var t=c.props,n=t.margin,o=t.data,i=c.state,a=i.offset,l=i.dataStartIndex,s=i.dataEndIndex,u=i.updateId;return(0,r.cloneElement)(e,{key:e.key||"_recharts-brush",onChange:(0,I.DO)(c.handleBrushChange,e.props.onChange),data:o,x:(0,R.hj)(e.props.x)?e.props.x:a.left,y:(0,R.hj)(e.props.y)?e.props.y:a.top+a.height+a.brushBottom-(n.bottom||0),width:(0,R.hj)(e.props.width)?e.props.width:a.width,startIndex:l,endIndex:s,updateId:"brush-".concat(u)})}),tn(e3(c),"renderReferenceElement",function(e,t,n){if(!e)return null;var o=e3(c).clipPathId,i=c.state,a=i.xAxisMap,l=i.yAxisMap,s=i.offset,u=e.props,d=u.xAxisId,f=u.yAxisId;return(0,r.cloneElement)(e,{key:e.key||"".concat(t,"-").concat(n),xAxis:a[d],yAxis:l[f],viewBox:{x:s.left,y:s.top,width:s.width,height:s.height},clipPathId:o})}),tn(e3(c),"renderActivePoints",function(e){var t=e.item,n=e.activePoint,r=e.basePoint,o=e.childIndex,i=e.isRange,a=[],l=t.props.key,c=t.item.props,u=c.activeDot,d=tt(tt({index:o,dataKey:c.dataKey,cx:n.x,cy:n.y,r:4,fill:(0,I.fk)(t.item),strokeWidth:2,stroke:"#fff",payload:n.payload,value:n.value,key:"".concat(l,"-activePoint-").concat(o)},(0,P.L6)(u,!1)),(0,eA.Ym)(u));return a.push(s.renderActiveDot(u,d)),r?a.push(s.renderActiveDot(u,tt(tt({},d),{},{cx:r.x,cy:r.y,key:"".concat(l,"-basePoint-").concat(o)}))):i&&a.push(null),a}),tn(e3(c),"renderGraphicChild",function(e,t,n){var o=c.filterFormatItem(e,t,n);if(!o)return null;var a=c.getTooltipEventType(),l=c.state,s=l.isTooltipActive,u=l.tooltipAxis,d=l.activeTooltipIndex,f=l.activeLabel,p=c.props.children,h=(0,P.sP)(p,E.u),m=o.props,g=m.points,v=m.isRange,y=m.baseLine,b=o.item.props,x=b.activeDot,w=b.hide,S=b.activeBar,k=b.activeShape,C={};"axis"!==a&&h&&"click"===h.props.trigger?C={onClick:(0,I.DO)(c.handleItemMouseEnter,e.props.onClick)}:"axis"!==a&&(C={onMouseLeave:(0,I.DO)(c.handleItemMouseLeave,e.props.onMouseLeave),onMouseEnter:(0,I.DO)(c.handleItemMouseEnter,e.props.onMouseEnter)});var O=(0,r.cloneElement)(e,tt(tt({},o.props),C));if(!w&&s&&h&&(x||S||k)){if(d>=0){if(u.dataKey&&!u.allowDuplicatedCategory){var j="function"==typeof u.dataKey?function(e){return"function"==typeof u.dataKey?u.dataKey(e.payload):null}:"payload.".concat(u.dataKey.toString());M=(0,R.Ap)(g,j,f),T=v&&y&&(0,R.Ap)(y,j,f)}else M=null==g?void 0:g[d],T=v&&y&&y[d];if(k||S){var N=void 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v?[O,null,null]:[O,null]}),tn(e3(c),"renderCustomized",function(e,t,n){return(0,r.cloneElement)(e,tt(tt({key:"recharts-customized-".concat(n)},c.props),c.state))}),tn(e3(c),"renderMap",{CartesianGrid:{handler:c.renderGrid,once:!0},ReferenceArea:{handler:c.renderReferenceElement},ReferenceLine:{handler:tl},ReferenceDot:{handler:c.renderReferenceElement},XAxis:{handler:tl},YAxis:{handler:tl},Brush:{handler:c.renderBrush,once:!0},Bar:{handler:c.renderGraphicChild},Line:{handler:c.renderGraphicChild},Area:{handler:c.renderGraphicChild},Radar:{handler:c.renderGraphicChild},RadialBar:{handler:c.renderGraphicChild},Scatter:{handler:c.renderGraphicChild},Pie:{handler:c.renderGraphicChild},Funnel:{handler:c.renderGraphicChild},Tooltip:{handler:c.renderCursor,once:!0},PolarGrid:{handler:c.renderPolarGrid,once:!0},PolarAngleAxis:{handler:c.renderPolarAxis},PolarRadiusAxis:{handler:c.renderPolarAxis},Customized:{handler:c.renderCustomized}}),c.clipPathId="".concat(null!==(t=e.id)&&void 0!==t?t:(0,R.EL)("recharts"),"-clip"),c.throttleTriggeredAfterMouseMove=m()(c.triggeredAfterMouseMove,null!==(o=e.throttleDelay)&&void 0!==o?o:1e3/60),c.state={},c}return o=[{key:"componentDidMount",value:function(){var e,t;this.addListener(),this.accessibilityManager.setDetails({container:this.container,offset:{left:null!==(e=this.props.margin.left)&&void 0!==e?e:0,top:null!==(t=this.props.margin.top)&&void 0!==t?t:0},coordinateList:this.state.tooltipTicks,mouseHandlerCallback:this.triggeredAfterMouseMove,layout:this.props.layout}),this.displayDefaultTooltip()}},{key:"displayDefaultTooltip",value:function(){var e=this.props,t=e.children,n=e.data,r=e.height,o=e.layout,i=(0,P.sP)(t,E.u);if(i){var a=i.props.defaultIndex;if("number"==typeof a&&!(a<0)&&!(a>this.state.tooltipTicks.length)){var l=this.state.tooltipTicks[a]&&this.state.tooltipTicks[a].value,c=td(this.state,n,a,l),s=this.state.tooltipTicks[a].coordinate,u=(this.state.offset.top+r)/2,d="horizontal"===o?{x:s,y:u}:{y:s,x:u},f=this.state.formattedGraphicalItems.find(function(e){return"Scatter"===e.item.type.name});f&&(d=tt(tt({},d),f.props.points[a].tooltipPosition),c=f.props.points[a].tooltipPayload);var p={activeTooltipIndex:a,isTooltipActive:!0,activeLabel:l,activePayload:c,activeCoordinate:d};this.setState(p),this.renderCursor(i),this.accessibilityManager.setIndex(a)}}}},{key:"getSnapshotBeforeUpdate",value:function(e,t){if(!this.props.accessibilityLayer)return null;if(this.state.tooltipTicks!==t.tooltipTicks&&this.accessibilityManager.setDetails({coordinateList:this.state.tooltipTicks}),this.props.layout!==e.layout&&this.accessibilityManager.setDetails({layout:this.props.layout}),this.props.margin!==e.margin){var n,r;this.accessibilityManager.setDetails({offset:{left:null!==(n=this.props.margin.left)&&void 0!==n?n:0,top:null!==(r=this.props.margin.top)&&void 0!==r?r:0}})}return null}},{key:"componentDidUpdate",value:function(e){(0,P.rL)([(0,P.sP)(e.children,E.u)],[(0,P.sP)(this.props.children,E.u)])||this.displayDefaultTooltip()}},{key:"componentWillUnmount",value:function(){this.removeListener(),this.throttleTriggeredAfterMouseMove.cancel()}},{key:"getTooltipEventType",value:function(){var e=(0,P.sP)(this.props.children,E.u);if(e&&"boolean"==typeof e.props.shared){var t=e.props.shared?"axis":"item";return u.indexOf(t)>=0?t:c}return c}},{key:"getMouseInfo",value:function(e){if(!this.container)return null;var t=this.container,n=t.getBoundingClientRect(),r=(0,Q.os)(n),o={chartX:Math.round(e.pageX-r.left),chartY:Math.round(e.pageY-r.top)},i=n.width/t.offsetWidth||1,a=this.inRange(o.chartX,o.chartY,i);if(!a)return null;var l=this.state,c=l.xAxisMap,s=l.yAxisMap;if("axis"!==this.getTooltipEventType()&&c&&s){var 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new file mode 100644
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new file mode 100644
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\ No newline at end of file
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diff --git a/ui/litellm-dashboard/out/onboarding.txt b/ui/litellm-dashboard/out/onboarding.txt
index b92be5ba72..bdb7caa346 100644
--- a/ui/litellm-dashboard/out/onboarding.txt
+++ b/ui/litellm-dashboard/out/onboarding.txt
@@ -1,7 +1,7 @@
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diff --git a/ui/litellm-dashboard/src/components/model_dashboard.tsx b/ui/litellm-dashboard/src/components/model_dashboard.tsx
index 493f9ba426..e87da27c24 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard.tsx
@@ -1086,13 +1086,20 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
           </TabList>
           <TabPanels>
             <TabPanel>
+              <Grid>
               <div className="flex justify-between items-center mb-6">
                 {/* Left side - Title and description */}
                 <div>
                   <Title>Model Management</Title>
-                  {!all_admin_roles.includes(userRole) && <Text className="text-tremor-content">
-                    Add models for teams you are an admin for.
-                  </Text>}
+                  {!all_admin_roles.includes(userRole) ? (
+                    <Text className="text-tremor-content">
+                      Add models for teams you are an admin for.
+                    </Text>
+                  ) : (
+                    <Text className="text-tremor-content">
+                      Add and manage models for the proxy
+                    </Text>
+                  )}
                 </div>
 
                 {/* Right side - Filter */}
@@ -1135,6 +1142,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
                 )}
                 isLoading={false} // Add loading state if needed
               />
+              </Grid>
             </TabPanel>
             <TabPanel className="h-full">
               <AddModelTab

From fef5d23dd5935ae5d791f07fdaa07b655449f9f9 Mon Sep 17 00:00:00 2001
From: Chris Mancuso <Christopher.a.mancuso@gmail.com>
Date: Thu, 27 Mar 2025 20:27:19 -0400
Subject: [PATCH 121/244] Support max_completion_tokens on Mistral (#9589)

* Support max_completion_tokens on Mistral

* test fix
---
 .../mistral/mistral_chat_transformation.py    |  9 +++-
 .../mistral/test_mistral_transformation.py    | 45 +++++++++++++++++++
 2 files changed, 53 insertions(+), 1 deletion(-)
 create mode 100644 tests/litellm/llms/mistral/test_mistral_transformation.py

diff --git a/litellm/llms/mistral/mistral_chat_transformation.py b/litellm/llms/mistral/mistral_chat_transformation.py
index 3e7a97c92f..7f93ddcc29 100644
--- a/litellm/llms/mistral/mistral_chat_transformation.py
+++ b/litellm/llms/mistral/mistral_chat_transformation.py
@@ -28,7 +28,9 @@ class MistralConfig(OpenAIGPTConfig):
 
     - `top_p` (number or null): An alternative to sampling with temperature, used for nucleus sampling. API Default - 1.
 
-    - `max_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
+    - `max_tokens` [DEPRECATED - use max_completion_tokens] (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
+
+    - `max_completion_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
 
     - `tools` (list or null): A list of available tools for the model. Use this to specify functions for which the model can generate JSON inputs.
 
@@ -46,6 +48,7 @@ class MistralConfig(OpenAIGPTConfig):
     temperature: Optional[int] = None
     top_p: Optional[int] = None
     max_tokens: Optional[int] = None
+    max_completion_tokens: Optional[int] = None
     tools: Optional[list] = None
     tool_choice: Optional[Literal["auto", "any", "none"]] = None
     random_seed: Optional[int] = None
@@ -58,6 +61,7 @@ class MistralConfig(OpenAIGPTConfig):
         temperature: Optional[int] = None,
         top_p: Optional[int] = None,
         max_tokens: Optional[int] = None,
+        max_completion_tokens: Optional[int] = None,
         tools: Optional[list] = None,
         tool_choice: Optional[Literal["auto", "any", "none"]] = None,
         random_seed: Optional[int] = None,
@@ -80,6 +84,7 @@ class MistralConfig(OpenAIGPTConfig):
             "temperature",
             "top_p",
             "max_tokens",
+            "max_completion_tokens"
             "tools",
             "tool_choice",
             "seed",
@@ -105,6 +110,8 @@ class MistralConfig(OpenAIGPTConfig):
         for param, value in non_default_params.items():
             if param == "max_tokens":
                 optional_params["max_tokens"] = value
+            if param == "max_completion_tokens": # max_completion_tokens should take priority
+                optional_params["max_tokens"] = value
             if param == "tools":
                 optional_params["tools"] = value
             if param == "stream" and value is True:
diff --git a/tests/litellm/llms/mistral/test_mistral_transformation.py b/tests/litellm/llms/mistral/test_mistral_transformation.py
new file mode 100644
index 0000000000..4594e8ca2a
--- /dev/null
+++ b/tests/litellm/llms/mistral/test_mistral_transformation.py
@@ -0,0 +1,45 @@
+import os
+import sys
+from unittest.mock import MagicMock
+
+
+sys.path.insert(
+    0, os.path.abspath("../../../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.mistral.mistral_chat_transformation import MistralConfig
+
+
+class TestMistralTransform:
+    def setup_method(self):
+        self.config = MistralConfig()
+        self.model = "mistral-small-latest"
+        self.logging_obj = MagicMock()
+
+    def test_map_mistral_params(self):
+        """Test that parameters are correctly mapped"""
+        test_params = {"temperature": 0.7, "max_tokens": 200, "max_completion_tokens": 256}
+
+        result = self.config.map_openai_params(
+            non_default_params=test_params,
+            optional_params={},
+            model=self.model,
+            drop_params=False,
+        )
+
+        # The function should properly map max_completion_tokens to max_tokens and override max_tokens
+        assert result == {"temperature": 0.7, "max_tokens": 256}
+
+    def test_mistral_max_tokens_backward_compat(self):
+        """Test that parameters are correctly mapped"""
+        test_params = {"temperature": 0.7, "max_tokens": 200,}
+
+        result = self.config.map_openai_params(
+            non_default_params=test_params,
+            optional_params={},
+            model=self.model,
+            drop_params=False,
+        )
+
+        # The function should properly map max_tokens if max_completion_tokens is not provided
+        assert result == {"temperature": 0.7, "max_tokens": 200}

From 894306141e4a34393a86fa5a45e8fccd45a44792 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 18:07:23 -0700
Subject: [PATCH 122/244] refactor, use commit_update_transactions_to_db

---
 litellm/proxy/db/db_spend_update_writer.py | 250 ++++++++++++++++++++-
 litellm/proxy/utils.py                     | 200 +----------------
 2 files changed, 252 insertions(+), 198 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 34e8eae173..cc45b6b96a 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -7,16 +7,28 @@ Module responsible for
 
 import asyncio
 import os
+import time
 import traceback
-from datetime import datetime
+from datetime import datetime, timedelta
 from typing import Any, Optional, Union
 
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import DualCache
-from litellm.proxy._types import Litellm_EntityType, LiteLLM_UserTable, SpendLogsPayload
+from litellm.proxy._types import (
+    DB_CONNECTION_ERROR_TYPES,
+    Litellm_EntityType,
+    LiteLLM_UserTable,
+    SpendLogsPayload,
+)
 from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
-from litellm.proxy.utils import PrismaClient, ProxyUpdateSpend, hash_token
+from litellm.proxy.utils import (
+    PrismaClient,
+    ProxyLogging,
+    ProxyUpdateSpend,
+    _raise_failed_update_spend_exception,
+    hash_token,
+)
 
 
 class DBSpendUpdateWriter:
@@ -346,3 +358,235 @@ class DBSpendUpdateWriter:
             payload.copy()
         )
         return prisma_client
+
+    @staticmethod
+    async def commit_update_transactions_to_db(  # noqa: PLR0915
+        prisma_client: PrismaClient,
+        n_retry_times: int,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Handles commiting update spend transactions to db
+
+        UPDATES can lead to deadlocks, hence we handle them separately
+
+        Args:
+            prisma_client: PrismaClient object
+            n_retry_times: int, number of retry times
+            proxy_logging_obj: ProxyLogging object
+        """
+        ### UPDATE USER TABLE ###
+        if len(prisma_client.user_list_transactons.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for (
+                                user_id,
+                                response_cost,
+                            ) in prisma_client.user_list_transactons.items():
+                                batcher.litellm_usertable.update_many(
+                                    where={"user_id": user_id},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    prisma_client.user_list_transactons = (
+                        {}
+                    )  # Clear the remaining transactions after processing all batches in the loop.
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if (
+                        i >= n_retry_times
+                    ):  # If we've reached the maximum number of retries
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    # Optionally, sleep for a bit before retrying
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
+
+        ### UPDATE END-USER TABLE ###
+        verbose_proxy_logger.debug(
+            "End-User Spend transactions: {}".format(
+                len(prisma_client.end_user_list_transactons.keys())
+            )
+        )
+        if len(prisma_client.end_user_list_transactons.keys()) > 0:
+            await ProxyUpdateSpend.update_end_user_spend(
+                n_retry_times=n_retry_times,
+                prisma_client=prisma_client,
+                proxy_logging_obj=proxy_logging_obj,
+            )
+        ### UPDATE KEY TABLE ###
+        verbose_proxy_logger.debug(
+            "KEY Spend transactions: {}".format(
+                len(prisma_client.key_list_transactons.keys())
+            )
+        )
+        if len(prisma_client.key_list_transactons.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for (
+                                token,
+                                response_cost,
+                            ) in prisma_client.key_list_transactons.items():
+                                batcher.litellm_verificationtoken.update_many(  # 'update_many' prevents error from being raised if no row exists
+                                    where={"token": token},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    prisma_client.key_list_transactons = (
+                        {}
+                    )  # Clear the remaining transactions after processing all batches in the loop.
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if (
+                        i >= n_retry_times
+                    ):  # If we've reached the maximum number of retries
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    # Optionally, sleep for a bit before retrying
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
+
+        ### UPDATE TEAM TABLE ###
+        verbose_proxy_logger.debug(
+            "Team Spend transactions: {}".format(
+                len(prisma_client.team_list_transactons.keys())
+            )
+        )
+        if len(prisma_client.team_list_transactons.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for (
+                                team_id,
+                                response_cost,
+                            ) in prisma_client.team_list_transactons.items():
+                                verbose_proxy_logger.debug(
+                                    "Updating spend for team id={} by {}".format(
+                                        team_id, response_cost
+                                    )
+                                )
+                                batcher.litellm_teamtable.update_many(  # 'update_many' prevents error from being raised if no row exists
+                                    where={"team_id": team_id},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    prisma_client.team_list_transactons = (
+                        {}
+                    )  # Clear the remaining transactions after processing all batches in the loop.
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if (
+                        i >= n_retry_times
+                    ):  # If we've reached the maximum number of retries
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    # Optionally, sleep for a bit before retrying
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
+
+        ### UPDATE TEAM Membership TABLE with spend ###
+        if len(prisma_client.team_member_list_transactons.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for (
+                                key,
+                                response_cost,
+                            ) in prisma_client.team_member_list_transactons.items():
+                                # key is "team_id::<value>::user_id::<value>"
+                                team_id = key.split("::")[1]
+                                user_id = key.split("::")[3]
+
+                                batcher.litellm_teammembership.update_many(  # 'update_many' prevents error from being raised if no row exists
+                                    where={"team_id": team_id, "user_id": user_id},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    prisma_client.team_member_list_transactons = (
+                        {}
+                    )  # Clear the remaining transactions after processing all batches in the loop.
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if (
+                        i >= n_retry_times
+                    ):  # If we've reached the maximum number of retries
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    # Optionally, sleep for a bit before retrying
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
+
+        ### UPDATE ORG TABLE ###
+        if len(prisma_client.org_list_transactons.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for (
+                                org_id,
+                                response_cost,
+                            ) in prisma_client.org_list_transactons.items():
+                                batcher.litellm_organizationtable.update_many(  # 'update_many' prevents error from being raised if no row exists
+                                    where={"organization_id": org_id},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    prisma_client.org_list_transactons = (
+                        {}
+                    )  # Clear the remaining transactions after processing all batches in the loop.
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if (
+                        i >= n_retry_times
+                    ):  # If we've reached the maximum number of retries
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    # Optionally, sleep for a bit before retrying
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 7f1ac814a8..013ecf97c4 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -62,6 +62,7 @@ from litellm.proxy.db.create_views import (
     create_missing_views,
     should_create_missing_views,
 )
+from litellm.proxy.db.db_spend_update_writer import DBSpendUpdateWriter
 from litellm.proxy.db.log_db_metrics import log_db_metrics
 from litellm.proxy.db.prisma_client import PrismaWrapper
 from litellm.proxy.hooks.cache_control_check import _PROXY_CacheControlCheck
@@ -2674,202 +2675,11 @@ async def update_spend(  # noqa: PLR0915
     spend_logs: list,
     """
     n_retry_times = 3
-    i = None
-    ### UPDATE USER TABLE ###
-    if len(prisma_client.user_list_transactons.keys()) > 0:
-        for i in range(n_retry_times + 1):
-            start_time = time.time()
-            try:
-                async with prisma_client.db.tx(
-                    timeout=timedelta(seconds=60)
-                ) as transaction:
-                    async with transaction.batch_() as batcher:
-                        for (
-                            user_id,
-                            response_cost,
-                        ) in prisma_client.user_list_transactons.items():
-                            batcher.litellm_usertable.update_many(
-                                where={"user_id": user_id},
-                                data={"spend": {"increment": response_cost}},
-                            )
-                prisma_client.user_list_transactons = (
-                    {}
-                )  # Clear the remaining transactions after processing all batches in the loop.
-                break
-            except DB_CONNECTION_ERROR_TYPES as e:
-                if i >= n_retry_times:  # If we've reached the maximum number of retries
-                    _raise_failed_update_spend_exception(
-                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                    )
-                # Optionally, sleep for a bit before retrying
-                await asyncio.sleep(2**i)  # Exponential backoff
-            except Exception as e:
-                _raise_failed_update_spend_exception(
-                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                )
-
-    ### UPDATE END-USER TABLE ###
-    verbose_proxy_logger.debug(
-        "End-User Spend transactions: {}".format(
-            len(prisma_client.end_user_list_transactons.keys())
-        )
+    await DBSpendUpdateWriter.commit_update_transactions_to_db(
+        prisma_client=prisma_client,
+        n_retry_times=n_retry_times,
+        proxy_logging_obj=proxy_logging_obj,
     )
-    if len(prisma_client.end_user_list_transactons.keys()) > 0:
-        await ProxyUpdateSpend.update_end_user_spend(
-            n_retry_times=n_retry_times,
-            prisma_client=prisma_client,
-            proxy_logging_obj=proxy_logging_obj,
-        )
-    ### UPDATE KEY TABLE ###
-    verbose_proxy_logger.debug(
-        "KEY Spend transactions: {}".format(
-            len(prisma_client.key_list_transactons.keys())
-        )
-    )
-    if len(prisma_client.key_list_transactons.keys()) > 0:
-        for i in range(n_retry_times + 1):
-            start_time = time.time()
-            try:
-                async with prisma_client.db.tx(
-                    timeout=timedelta(seconds=60)
-                ) as transaction:
-                    async with transaction.batch_() as batcher:
-                        for (
-                            token,
-                            response_cost,
-                        ) in prisma_client.key_list_transactons.items():
-                            batcher.litellm_verificationtoken.update_many(  # 'update_many' prevents error from being raised if no row exists
-                                where={"token": token},
-                                data={"spend": {"increment": response_cost}},
-                            )
-                prisma_client.key_list_transactons = (
-                    {}
-                )  # Clear the remaining transactions after processing all batches in the loop.
-                break
-            except DB_CONNECTION_ERROR_TYPES as e:
-                if i >= n_retry_times:  # If we've reached the maximum number of retries
-                    _raise_failed_update_spend_exception(
-                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                    )
-                # Optionally, sleep for a bit before retrying
-                await asyncio.sleep(2**i)  # Exponential backoff
-            except Exception as e:
-                _raise_failed_update_spend_exception(
-                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                )
-
-    ### UPDATE TEAM TABLE ###
-    verbose_proxy_logger.debug(
-        "Team Spend transactions: {}".format(
-            len(prisma_client.team_list_transactons.keys())
-        )
-    )
-    if len(prisma_client.team_list_transactons.keys()) > 0:
-        for i in range(n_retry_times + 1):
-            start_time = time.time()
-            try:
-                async with prisma_client.db.tx(
-                    timeout=timedelta(seconds=60)
-                ) as transaction:
-                    async with transaction.batch_() as batcher:
-                        for (
-                            team_id,
-                            response_cost,
-                        ) in prisma_client.team_list_transactons.items():
-                            verbose_proxy_logger.debug(
-                                "Updating spend for team id={} by {}".format(
-                                    team_id, response_cost
-                                )
-                            )
-                            batcher.litellm_teamtable.update_many(  # 'update_many' prevents error from being raised if no row exists
-                                where={"team_id": team_id},
-                                data={"spend": {"increment": response_cost}},
-                            )
-                prisma_client.team_list_transactons = (
-                    {}
-                )  # Clear the remaining transactions after processing all batches in the loop.
-                break
-            except DB_CONNECTION_ERROR_TYPES as e:
-                if i >= n_retry_times:  # If we've reached the maximum number of retries
-                    _raise_failed_update_spend_exception(
-                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                    )
-                # Optionally, sleep for a bit before retrying
-                await asyncio.sleep(2**i)  # Exponential backoff
-            except Exception as e:
-                _raise_failed_update_spend_exception(
-                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                )
-
-    ### UPDATE TEAM Membership TABLE with spend ###
-    if len(prisma_client.team_member_list_transactons.keys()) > 0:
-        for i in range(n_retry_times + 1):
-            start_time = time.time()
-            try:
-                async with prisma_client.db.tx(
-                    timeout=timedelta(seconds=60)
-                ) as transaction:
-                    async with transaction.batch_() as batcher:
-                        for (
-                            key,
-                            response_cost,
-                        ) in prisma_client.team_member_list_transactons.items():
-                            # key is "team_id::<value>::user_id::<value>"
-                            team_id = key.split("::")[1]
-                            user_id = key.split("::")[3]
-
-                            batcher.litellm_teammembership.update_many(  # 'update_many' prevents error from being raised if no row exists
-                                where={"team_id": team_id, "user_id": user_id},
-                                data={"spend": {"increment": response_cost}},
-                            )
-                prisma_client.team_member_list_transactons = (
-                    {}
-                )  # Clear the remaining transactions after processing all batches in the loop.
-                break
-            except DB_CONNECTION_ERROR_TYPES as e:
-                if i >= n_retry_times:  # If we've reached the maximum number of retries
-                    _raise_failed_update_spend_exception(
-                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                    )
-                # Optionally, sleep for a bit before retrying
-                await asyncio.sleep(2**i)  # Exponential backoff
-            except Exception as e:
-                _raise_failed_update_spend_exception(
-                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                )
-
-    ### UPDATE ORG TABLE ###
-    if len(prisma_client.org_list_transactons.keys()) > 0:
-        for i in range(n_retry_times + 1):
-            start_time = time.time()
-            try:
-                async with prisma_client.db.tx(
-                    timeout=timedelta(seconds=60)
-                ) as transaction:
-                    async with transaction.batch_() as batcher:
-                        for (
-                            org_id,
-                            response_cost,
-                        ) in prisma_client.org_list_transactons.items():
-                            batcher.litellm_organizationtable.update_many(  # 'update_many' prevents error from being raised if no row exists
-                                where={"organization_id": org_id},
-                                data={"spend": {"increment": response_cost}},
-                            )
-                prisma_client.org_list_transactons = (
-                    {}
-                )  # Clear the remaining transactions after processing all batches in the loop.
-                break
-            except DB_CONNECTION_ERROR_TYPES as e:
-                if i >= n_retry_times:  # If we've reached the maximum number of retries
-                    _raise_failed_update_spend_exception(
-                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                    )
-                # Optionally, sleep for a bit before retrying
-                await asyncio.sleep(2**i)  # Exponential backoff
-            except Exception as e:
-                _raise_failed_update_spend_exception(
-                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
-                )
 
     ### UPDATE SPEND LOGS ###
     verbose_proxy_logger.debug(

From ad720781676e441b24eb7c772c1d853c23e9cd0a Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 18:21:33 -0700
Subject: [PATCH 123/244] basic structure for commit update txs to redis

---
 litellm/proxy/db/db_spend_update_writer.py | 70 +++++++++++++++++++++-
 litellm/proxy/utils.py                     |  2 +-
 2 files changed, 69 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index cc45b6b96a..d85e69c472 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -29,6 +29,7 @@ from litellm.proxy.utils import (
     _raise_failed_update_spend_exception,
     hash_token,
 )
+from litellm.secret_managers.main import str_to_bool
 
 
 class DBSpendUpdateWriter:
@@ -360,7 +361,7 @@ class DBSpendUpdateWriter:
         return prisma_client
 
     @staticmethod
-    async def commit_update_transactions_to_db(  # noqa: PLR0915
+    async def db_spend_transaction_handler(
         prisma_client: PrismaClient,
         n_retry_times: int,
         proxy_logging_obj: ProxyLogging,
@@ -368,12 +369,77 @@ class DBSpendUpdateWriter:
         """
         Handles commiting update spend transactions to db
 
-        UPDATES can lead to deadlocks, hence we handle them separately
+        `UPDATES` can lead to deadlocks, hence we handle them separately
 
         Args:
             prisma_client: PrismaClient object
             n_retry_times: int, number of retry times
             proxy_logging_obj: ProxyLogging object
+
+        How this works:
+        - Check `general_settings.use_redis_transaction_buffer`
+            - If enabled, write in-memory transactions to Redis
+            - Check if this Pod should read from the DB
+        else:
+            - Regular flow of this method
+        """
+        if DBSpendUpdateWriter._should_commit_spend_updates_to_redis():
+            pass
+
+        if DBSpendUpdateWriter._should_commit_spend_updates_to_db():
+            await DBSpendUpdateWriter._commit_spend_updates_to_db(
+                prisma_client=prisma_client,
+                n_retry_times=n_retry_times,
+                proxy_logging_obj=proxy_logging_obj,
+            )
+
+        pass
+
+    @staticmethod
+    def _should_commit_spend_updates_to_redis() -> bool:
+        """
+        Checks if the Pod should commit spend updates to Redis
+
+        This setting enables buffering database transactions in Redis
+        to improve reliability and reduce database contention
+        """
+        from litellm.proxy.proxy_server import general_settings
+
+        _use_redis_transaction_buffer: Optional[Union[bool, str]] = (
+            general_settings.get("use_redis_transaction_buffer", False)
+        )
+        if isinstance(_use_redis_transaction_buffer, str):
+            _use_redis_transaction_buffer = str_to_bool(_use_redis_transaction_buffer)
+        if _use_redis_transaction_buffer is None:
+            return False
+        return _use_redis_transaction_buffer
+
+    @staticmethod
+    async def _commit_spend_updates_to_redis(
+        prisma_client: PrismaClient,
+    ):
+        """
+        Commits all the spend updates to Redis for each entity type
+
+        once committed, the transactions are cleared from the in-memory variables
+        """
+        pass
+
+    @staticmethod
+    def _should_commit_spend_updates_to_db() -> bool:
+        """
+        Checks if the Pod should commit spend updates to the Database
+        """
+        return False
+
+    @staticmethod
+    async def _commit_spend_updates_to_db(  # noqa: PLR0915
+        prisma_client: PrismaClient,
+        n_retry_times: int,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Commits all the spend updates to the Database
         """
         ### UPDATE USER TABLE ###
         if len(prisma_client.user_list_transactons.keys()) > 0:
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 013ecf97c4..435bf38c0e 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -2675,7 +2675,7 @@ async def update_spend(  # noqa: PLR0915
     spend_logs: list,
     """
     n_retry_times = 3
-    await DBSpendUpdateWriter.commit_update_transactions_to_db(
+    await DBSpendUpdateWriter._commit_spend_updates_to_db(
         prisma_client=prisma_client,
         n_retry_times=n_retry_times,
         proxy_logging_obj=proxy_logging_obj,

From 963791bbb58f8d36c8551c6b46c3572d89a213f3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 19:12:51 -0700
Subject: [PATCH 124/244] use redis update buffer class

---
 litellm/proxy/db/db_spend_update_writer.py |  68 +++++++------
 litellm/proxy/db/redis_update_buffer.py    | 110 +++++++++++++++++++++
 litellm/proxy/utils.py                     |   5 +-
 3 files changed, 147 insertions(+), 36 deletions(-)
 create mode 100644 litellm/proxy/db/redis_update_buffer.py

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index d85e69c472..00f60a76f2 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -10,26 +10,24 @@ import os
 import time
 import traceback
 from datetime import datetime, timedelta
-from typing import Any, Optional, Union
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 import litellm
 from litellm._logging import verbose_proxy_logger
-from litellm.caching import DualCache
+from litellm.caching import DualCache, RedisCache, RedisClusterCache
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     Litellm_EntityType,
     LiteLLM_UserTable,
     SpendLogsPayload,
 )
-from litellm.proxy.spend_tracking.spend_tracking_utils import get_logging_payload
-from litellm.proxy.utils import (
-    PrismaClient,
-    ProxyLogging,
-    ProxyUpdateSpend,
-    _raise_failed_update_spend_exception,
-    hash_token,
-)
-from litellm.secret_managers.main import str_to_bool
+from litellm.proxy.db.redis_update_buffer import RedisUpdateBuffer
+
+if TYPE_CHECKING:
+    from litellm.proxy.utils import PrismaClient, ProxyLogging
+else:
+    PrismaClient = Any
+    ProxyLogging = Any
 
 
 class DBSpendUpdateWriter:
@@ -40,6 +38,12 @@ class DBSpendUpdateWriter:
     2. Reading increments from redis or in memory list of transactions and committing them to db
     """
 
+    def __init__(
+        self, redis_cache: Optional[Union[RedisCache, RedisClusterCache]] = None
+    ):
+        self.redis_cache = redis_cache
+        self.redis_update_buffer = RedisUpdateBuffer(redis_cache=redis_cache)
+
     @staticmethod
     async def update_database(
         # LiteLLM management object fields
@@ -61,6 +65,7 @@ class DBSpendUpdateWriter:
             prisma_client,
             user_api_key_cache,
         )
+        from litellm.proxy.utils import ProxyUpdateSpend, hash_token
 
         try:
             verbose_proxy_logger.debug(
@@ -315,6 +320,10 @@ class DBSpendUpdateWriter:
         response_cost: Optional[float],
         prisma_client: Optional[PrismaClient],
     ):
+        from litellm.proxy.spend_tracking.spend_tracking_utils import (
+            get_logging_payload,
+        )
+
         try:
             if prisma_client:
                 payload = get_logging_payload(
@@ -360,8 +369,8 @@ class DBSpendUpdateWriter:
         )
         return prisma_client
 
-    @staticmethod
-    async def db_spend_transaction_handler(
+    async def db_update_spend_transaction_handler(
+        self,
         prisma_client: PrismaClient,
         n_retry_times: int,
         proxy_logging_obj: ProxyLogging,
@@ -383,8 +392,10 @@ class DBSpendUpdateWriter:
         else:
             - Regular flow of this method
         """
-        if DBSpendUpdateWriter._should_commit_spend_updates_to_redis():
-            pass
+        if RedisUpdateBuffer._should_commit_spend_updates_to_redis():
+            await self.redis_update_buffer.store_in_memory_spend_updates_in_redis(
+                prisma_client=prisma_client,
+            )
 
         if DBSpendUpdateWriter._should_commit_spend_updates_to_db():
             await DBSpendUpdateWriter._commit_spend_updates_to_db(
@@ -395,25 +406,6 @@ class DBSpendUpdateWriter:
 
         pass
 
-    @staticmethod
-    def _should_commit_spend_updates_to_redis() -> bool:
-        """
-        Checks if the Pod should commit spend updates to Redis
-
-        This setting enables buffering database transactions in Redis
-        to improve reliability and reduce database contention
-        """
-        from litellm.proxy.proxy_server import general_settings
-
-        _use_redis_transaction_buffer: Optional[Union[bool, str]] = (
-            general_settings.get("use_redis_transaction_buffer", False)
-        )
-        if isinstance(_use_redis_transaction_buffer, str):
-            _use_redis_transaction_buffer = str_to_bool(_use_redis_transaction_buffer)
-        if _use_redis_transaction_buffer is None:
-            return False
-        return _use_redis_transaction_buffer
-
     @staticmethod
     async def _commit_spend_updates_to_redis(
         prisma_client: PrismaClient,
@@ -439,8 +431,14 @@ class DBSpendUpdateWriter:
         proxy_logging_obj: ProxyLogging,
     ):
         """
-        Commits all the spend updates to the Database
+        Commits all the spend `UPDATE` transactions to the Database
+
         """
+        from litellm.proxy.utils import (
+            ProxyUpdateSpend,
+            _raise_failed_update_spend_exception,
+        )
+
         ### UPDATE USER TABLE ###
         if len(prisma_client.user_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
new file mode 100644
index 0000000000..843ec445a3
--- /dev/null
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -0,0 +1,110 @@
+"""
+Handles buffering database `UPDATE` transactions in Redis before committing them to the database
+
+This is to prevent deadlocks and improve reliability
+"""
+
+from typing import TYPE_CHECKING, Any, Dict, Optional, TypedDict, Union, cast
+
+from litellm.caching import RedisCache, RedisClusterCache
+from litellm.secret_managers.main import str_to_bool
+
+if TYPE_CHECKING:
+    from litellm.proxy.utils import PrismaClient
+else:
+    PrismaClient = Any
+
+
+class DBSpendUpdateTransactions(TypedDict):
+    user_list_transactons: Dict[str, float]
+    end_user_list_transactons: Dict[str, float]
+    key_list_transactons: Dict[str, float]
+    team_list_transactons: Dict[str, float]
+    team_member_list_transactons: Dict[str, float]
+    org_list_transactons: Dict[str, float]
+
+
+class RedisUpdateBuffer:
+    """
+    Handles buffering database `UPDATE` transactions in Redis before committing them to the database
+
+    This is to prevent deadlocks and improve reliability
+    """
+
+    def __init__(
+        self, redis_cache: Optional[Union[RedisCache, RedisClusterCache]] = None
+    ):
+        self.redis_cache = redis_cache
+
+    @staticmethod
+    def _should_commit_spend_updates_to_redis() -> bool:
+        """
+        Checks if the Pod should commit spend updates to Redis
+
+        This setting enables buffering database transactions in Redis
+        to improve reliability and reduce database contention
+        """
+        from litellm.proxy.proxy_server import general_settings
+
+        _use_redis_transaction_buffer: Optional[Union[bool, str]] = (
+            general_settings.get("use_redis_transaction_buffer", False)
+        )
+        if isinstance(_use_redis_transaction_buffer, str):
+            _use_redis_transaction_buffer = str_to_bool(_use_redis_transaction_buffer)
+        if _use_redis_transaction_buffer is None:
+            return False
+        return _use_redis_transaction_buffer
+
+    async def store_in_memory_spend_updates_in_redis(
+        self,
+        prisma_client: PrismaClient,
+    ):
+        """
+        Stores the in-memory spend updates to Redis
+
+        Each transaction is a dict stored as following:
+        - key is the entity id
+        - value is the spend amount
+
+            ```
+            {
+                "0929880201": 10,
+                "0929880202": 20,
+                "0929880203": 30,
+            }
+            ```
+        """
+        IN_MEMORY_UPDATE_TRANSACTIONS: DBSpendUpdateTransactions = (
+            DBSpendUpdateTransactions(
+                user_list_transactons=prisma_client.user_list_transactons,
+                end_user_list_transactons=prisma_client.end_user_list_transactons,
+                key_list_transactons=prisma_client.key_list_transactons,
+                team_list_transactons=prisma_client.team_list_transactons,
+                team_member_list_transactons=prisma_client.team_member_list_transactons,
+                org_list_transactons=prisma_client.org_list_transactons,
+            )
+        )
+        for key, _transactions in IN_MEMORY_UPDATE_TRANSACTIONS.items():
+            await self.increment_all_transaction_objects_in_redis(
+                key=key,
+                transactions=cast(Dict, _transactions),
+            )
+
+    async def increment_all_transaction_objects_in_redis(
+        self,
+        key: str,
+        transactions: Dict,
+    ):
+        """
+        Increments all transaction objects in Redis
+        """
+        if self.redis_cache is None:
+            return
+        for transaction_id, transaction_amount in transactions.items():
+            await self.redis_cache.async_increment(
+                key=f"{key}:{transaction_id}",
+                value=transaction_amount,
+            )
+
+    async def get_all_update_transactions_from_redis(self):
+        pass
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 435bf38c0e..c208f60529 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -265,6 +265,9 @@ class ProxyLogging:
         )
         self.premium_user = premium_user
         self.service_logging_obj = ServiceLogging()
+        self.db_spend_update_writer = DBSpendUpdateWriter(
+            redis_cache=self.internal_usage_cache.dual_cache.redis_cache
+        )
 
     def startup_event(
         self,
@@ -2675,7 +2678,7 @@ async def update_spend(  # noqa: PLR0915
     spend_logs: list,
     """
     n_retry_times = 3
-    await DBSpendUpdateWriter._commit_spend_updates_to_db(
+    await proxy_logging_obj.db_spend_update_writer.db_update_spend_transaction_handler(
         prisma_client=prisma_client,
         n_retry_times=n_retry_times,
         proxy_logging_obj=proxy_logging_obj,

From b9d0f460e83bf7e0be171026c4839fe97f0d89bf Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 19:14:26 -0700
Subject: [PATCH 125/244] Revert "Support max_completion_tokens on Mistral
 (#9589)" (#9604)

This reverts commit fef5d23dd5935ae5d791f07fdaa07b655449f9f9.
---
 .../mistral/mistral_chat_transformation.py    |  9 +---
 .../mistral/test_mistral_transformation.py    | 45 -------------------
 2 files changed, 1 insertion(+), 53 deletions(-)
 delete mode 100644 tests/litellm/llms/mistral/test_mistral_transformation.py

diff --git a/litellm/llms/mistral/mistral_chat_transformation.py b/litellm/llms/mistral/mistral_chat_transformation.py
index 7f93ddcc29..3e7a97c92f 100644
--- a/litellm/llms/mistral/mistral_chat_transformation.py
+++ b/litellm/llms/mistral/mistral_chat_transformation.py
@@ -28,9 +28,7 @@ class MistralConfig(OpenAIGPTConfig):
 
     - `top_p` (number or null): An alternative to sampling with temperature, used for nucleus sampling. API Default - 1.
 
-    - `max_tokens` [DEPRECATED - use max_completion_tokens] (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
-
-    - `max_completion_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
+    - `max_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. API Default - null.
 
     - `tools` (list or null): A list of available tools for the model. Use this to specify functions for which the model can generate JSON inputs.
 
@@ -48,7 +46,6 @@ class MistralConfig(OpenAIGPTConfig):
     temperature: Optional[int] = None
     top_p: Optional[int] = None
     max_tokens: Optional[int] = None
-    max_completion_tokens: Optional[int] = None
     tools: Optional[list] = None
     tool_choice: Optional[Literal["auto", "any", "none"]] = None
     random_seed: Optional[int] = None
@@ -61,7 +58,6 @@ class MistralConfig(OpenAIGPTConfig):
         temperature: Optional[int] = None,
         top_p: Optional[int] = None,
         max_tokens: Optional[int] = None,
-        max_completion_tokens: Optional[int] = None,
         tools: Optional[list] = None,
         tool_choice: Optional[Literal["auto", "any", "none"]] = None,
         random_seed: Optional[int] = None,
@@ -84,7 +80,6 @@ class MistralConfig(OpenAIGPTConfig):
             "temperature",
             "top_p",
             "max_tokens",
-            "max_completion_tokens"
             "tools",
             "tool_choice",
             "seed",
@@ -110,8 +105,6 @@ class MistralConfig(OpenAIGPTConfig):
         for param, value in non_default_params.items():
             if param == "max_tokens":
                 optional_params["max_tokens"] = value
-            if param == "max_completion_tokens": # max_completion_tokens should take priority
-                optional_params["max_tokens"] = value
             if param == "tools":
                 optional_params["tools"] = value
             if param == "stream" and value is True:
diff --git a/tests/litellm/llms/mistral/test_mistral_transformation.py b/tests/litellm/llms/mistral/test_mistral_transformation.py
deleted file mode 100644
index 4594e8ca2a..0000000000
--- a/tests/litellm/llms/mistral/test_mistral_transformation.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import os
-import sys
-from unittest.mock import MagicMock
-
-
-sys.path.insert(
-    0, os.path.abspath("../../../../..")
-)  # Adds the parent directory to the system path
-
-from litellm.llms.mistral.mistral_chat_transformation import MistralConfig
-
-
-class TestMistralTransform:
-    def setup_method(self):
-        self.config = MistralConfig()
-        self.model = "mistral-small-latest"
-        self.logging_obj = MagicMock()
-
-    def test_map_mistral_params(self):
-        """Test that parameters are correctly mapped"""
-        test_params = {"temperature": 0.7, "max_tokens": 200, "max_completion_tokens": 256}
-
-        result = self.config.map_openai_params(
-            non_default_params=test_params,
-            optional_params={},
-            model=self.model,
-            drop_params=False,
-        )
-
-        # The function should properly map max_completion_tokens to max_tokens and override max_tokens
-        assert result == {"temperature": 0.7, "max_tokens": 256}
-
-    def test_mistral_max_tokens_backward_compat(self):
-        """Test that parameters are correctly mapped"""
-        test_params = {"temperature": 0.7, "max_tokens": 200,}
-
-        result = self.config.map_openai_params(
-            non_default_params=test_params,
-            optional_params={},
-            model=self.model,
-            drop_params=False,
-        )
-
-        # The function should properly map max_tokens if max_completion_tokens is not provided
-        assert result == {"temperature": 0.7, "max_tokens": 200}

From e65b708fa2d2ff425143da10970be96c8bfc277a Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 19:15:30 -0700
Subject: [PATCH 126/244] get_all_update_transactions_from_redis

---
 litellm/proxy/db/redis_update_buffer.py | 29 +++++++++++++++++++++++--
 1 file changed, 27 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 843ec445a3..d3591032ff 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -106,5 +106,30 @@ class RedisUpdateBuffer:
                 value=transaction_amount,
             )
 
-    async def get_all_update_transactions_from_redis(self):
-        pass
+    async def get_all_update_transactions_from_redis(
+        self,
+    ) -> Optional[DBSpendUpdateTransactions]:
+        """
+        Gets all the update transactions from Redis
+        """
+        if self.redis_cache is None:
+            return None
+        expected_keys = [
+            "user_list_transactons",
+            "end_user_list_transactons",
+            "key_list_transactons",
+            "team_list_transactons",
+            "team_member_list_transactons",
+            "org_list_transactons",
+        ]
+        result = await self.redis_cache.async_batch_get_cache(expected_keys)
+        if result is None:
+            return None
+        return DBSpendUpdateTransactions(
+            user_list_transactons=result.get("user_list_transactons", {}),
+            end_user_list_transactons=result.get("end_user_list_transactons", {}),
+            key_list_transactons=result.get("key_list_transactons", {}),
+            team_list_transactons=result.get("team_list_transactons", {}),
+            team_member_list_transactons=result.get("team_member_list_transactons", {}),
+            org_list_transactons=result.get("org_list_transactons", {}),
+        )

From e2d4597588dde22101b8faea10964a4390d88fc7 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 20:10:45 -0700
Subject: [PATCH 127/244] test: mark flaky test

---
 tests/proxy_unit_tests/test_key_generate_prisma.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index bbfa5b1c11..c940f98915 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -3883,7 +3883,7 @@ async def test_get_paginated_teams(prisma_client):
 
 
 @pytest.mark.asyncio
-@pytest.mark.flaky(reruns=3)
+@pytest.mark.flaky(retries=3, delay=1)
 @pytest.mark.parametrize("entity_type", ["key", "user", "team"])
 async def test_reset_budget_job(prisma_client, entity_type):
     """

From b3c77852400779c1394d2277f8f8c81b80e1e671 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 20:34:26 -0700
Subject: [PATCH 128/244] test: skip flaky test - failing due to db timeouts -
 unrelated to test

---
 tests/proxy_unit_tests/test_key_generate_prisma.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index c940f98915..99fc415c1b 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -3885,6 +3885,9 @@ async def test_get_paginated_teams(prisma_client):
 @pytest.mark.asyncio
 @pytest.mark.flaky(retries=3, delay=1)
 @pytest.mark.parametrize("entity_type", ["key", "user", "team"])
+@pytest.mark.skip(
+    reason="Skipping reset budget job test. Fails on ci/cd due to db timeout errors. Need to replace with mock db."
+)
 async def test_reset_budget_job(prisma_client, entity_type):
     """
     Test that the ResetBudgetJob correctly resets budgets for keys, users, and teams.

From ea93a09b7a4632f6b5fcb47afdc4aa66df3ab944 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 21:10:26 -0700
Subject: [PATCH 129/244] add model CronJob

---
 litellm/proxy/schema.prisma | 15 +++++++++++++++
 schema.prisma               | 15 +++++++++++++++
 2 files changed, 30 insertions(+)

diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 9269e89014..0df675fd84 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -336,3 +336,18 @@ model LiteLLM_DailyUserSpend {
   @@index([api_key])
   @@index([model])
 }
+
+
+// Track the status of cron jobs running. Only allow one pod to run the job at a time
+model CronJob {
+  id            String   @id @default(cuid()) // Unique ID for the record
+  podId         String   // Unique identifier for the pod acting as the leader
+  status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)
+  lastUpdated   DateTime @default(now()) // Timestamp for the last update of the cron job record
+  ttl           DateTime // Time when the leader's lease expires
+}
+
+enum JobStatus {
+  ACTIVE
+  INACTIVE
+}
diff --git a/schema.prisma b/schema.prisma
index 3312b26354..5d1535d2ff 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -335,3 +335,18 @@ model LiteLLM_DailyUserSpend {
   @@index([api_key])
   @@index([model])
 }
+
+
+// Track the status of cron jobs running. Only allow one pod to run the job at a time
+model CronJob {
+  id            String   @id @default(cuid()) // Unique ID for the record
+  podId         String   // Unique identifier for the pod acting as the leader
+  status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)
+  lastUpdated   DateTime @default(now()) // Timestamp for the last update of the cron job record
+  ttl           DateTime // Time when the leader's lease expires
+}
+
+enum JobStatus {
+  ACTIVE
+  INACTIVE
+}

From dd00429adecf49aeeca5f8ba7466a4bbb85ffbef Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 21:36:22 -0700
Subject: [PATCH 130/244] update schema

---
 litellm/constants.py        | 4 ++++
 litellm/proxy/schema.prisma | 1 +
 2 files changed, 5 insertions(+)

diff --git a/litellm/constants.py b/litellm/constants.py
index da66f897c9..0d5a9dcddf 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -441,3 +441,7 @@ HEALTH_CHECK_TIMEOUT_SECONDS = 60  # 60 seconds
 
 UI_SESSION_TOKEN_TEAM_ID = "litellm-dashboard"
 LITELLM_PROXY_ADMIN_NAME = "default_user_id"
+
+########################### DB CRON JOB NAMES ###########################
+DB_SPEND_UPDATE_JOB_NAME = "db_spend_update_job"
+DEFAULT_CRON_JOB_LOCK_TTL_SECONDS = 600  # 5 minutes
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 0df675fd84..6e4937390a 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -351,3 +351,4 @@ enum JobStatus {
   ACTIVE
   INACTIVE
 }
+

From aa6c34cb9757159e6e92a7155baf46157ddf99a5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 21:43:02 -0700
Subject: [PATCH 131/244] use lock manager for update spend job

---
 litellm/proxy/db/db_spend_update_writer.py |  37 +++----
 litellm/proxy/db/pod_leader_manager.py     | 111 +++++++++++++++++++++
 2 files changed, 127 insertions(+), 21 deletions(-)
 create mode 100644 litellm/proxy/db/pod_leader_manager.py

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 00f60a76f2..21717b8cbd 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -15,12 +15,14 @@ from typing import TYPE_CHECKING, Any, Optional, Union
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import DualCache, RedisCache, RedisClusterCache
+from litellm.constants import DB_SPEND_UPDATE_JOB_NAME
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     Litellm_EntityType,
     LiteLLM_UserTable,
     SpendLogsPayload,
 )
+from litellm.proxy.db.pod_leader_manager import PodLockManager
 from litellm.proxy.db.redis_update_buffer import RedisUpdateBuffer
 
 if TYPE_CHECKING:
@@ -41,8 +43,14 @@ class DBSpendUpdateWriter:
     def __init__(
         self, redis_cache: Optional[Union[RedisCache, RedisClusterCache]] = None
     ):
+        from litellm.proxy.proxy_server import prisma_client
+
         self.redis_cache = redis_cache
         self.redis_update_buffer = RedisUpdateBuffer(redis_cache=redis_cache)
+        self.pod_leader_manager = PodLockManager(
+            cronjob_id=DB_SPEND_UPDATE_JOB_NAME,
+            prisma_client=prisma_client,
+        )
 
     @staticmethod
     async def update_database(
@@ -397,33 +405,20 @@ class DBSpendUpdateWriter:
                 prisma_client=prisma_client,
             )
 
-        if DBSpendUpdateWriter._should_commit_spend_updates_to_db():
+            if await self.pod_leader_manager.acquire_lock():
+                await DBSpendUpdateWriter._commit_spend_updates_to_db(
+                    prisma_client=prisma_client,
+                    n_retry_times=n_retry_times,
+                    proxy_logging_obj=proxy_logging_obj,
+                )
+                await self.pod_leader_manager.release_lock()
+        else:
             await DBSpendUpdateWriter._commit_spend_updates_to_db(
                 prisma_client=prisma_client,
                 n_retry_times=n_retry_times,
                 proxy_logging_obj=proxy_logging_obj,
             )
 
-        pass
-
-    @staticmethod
-    async def _commit_spend_updates_to_redis(
-        prisma_client: PrismaClient,
-    ):
-        """
-        Commits all the spend updates to Redis for each entity type
-
-        once committed, the transactions are cleared from the in-memory variables
-        """
-        pass
-
-    @staticmethod
-    def _should_commit_spend_updates_to_db() -> bool:
-        """
-        Checks if the Pod should commit spend updates to the Database
-        """
-        return False
-
     @staticmethod
     async def _commit_spend_updates_to_db(  # noqa: PLR0915
         prisma_client: PrismaClient,
diff --git a/litellm/proxy/db/pod_leader_manager.py b/litellm/proxy/db/pod_leader_manager.py
new file mode 100644
index 0000000000..73ecd68b1b
--- /dev/null
+++ b/litellm/proxy/db/pod_leader_manager.py
@@ -0,0 +1,111 @@
+import uuid
+from datetime import datetime, timedelta, timezone
+from typing import TYPE_CHECKING, Any, Optional
+
+from litellm._logging import verbose_proxy_logger
+from litellm.constants import DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+
+if TYPE_CHECKING:
+    from litellm.proxy.utils import PrismaClient, ProxyLogging
+else:
+    PrismaClient = Any
+    ProxyLogging = Any
+
+
+class PodLockManager:
+    """
+    Manager for acquiring and releasing locks for cron jobs.
+
+    Ensures that only one pod can run a cron job at a time.
+    """
+
+    def __init__(self, prisma_client: Optional[PrismaClient], cronjob_id: str):
+        self.pod_id = str(uuid.uuid4())
+        self.prisma = prisma_client
+        self.cronjob_id = cronjob_id
+
+    async def acquire_lock(self) -> bool:
+        """
+        Attempt to acquire the lock for a specific cron job.
+        """
+        if not self.prisma:
+            return False
+        try:
+            current_time = datetime.now(timezone.utc)
+            # Lease expiry time
+            ttl_expiry = current_time + timedelta(
+                seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+            )
+
+            # Attempt to acquire the lock by upserting the record in the `cronjob_locks` table
+            cronjob_lock = await self.prisma.db.cronJob.upsert(
+                where={"cronjob_id": self.cronjob_id},
+                create={
+                    "cronjob_id": self.cronjob_id,
+                    "pod_id": self.pod_id,
+                    "status": "ACTIVE",
+                    "last_updated": current_time,
+                    "ttl": ttl_expiry,
+                },
+                update={
+                    "status": "ACTIVE",
+                    "last_updated": current_time,
+                    "ttl": ttl_expiry,
+                },
+            )
+
+            if cronjob_lock.status == "ACTIVE" and cronjob_lock.pod_id == self.pod_id:
+                verbose_proxy_logger.debug(
+                    f"Pod {self.pod_id} has acquired the lock for {self.cronjob_id}."
+                )
+                return True  # Lock successfully acquired
+            return False
+        except Exception as e:
+            verbose_proxy_logger.error(
+                f"Error acquiring the lock for {self.cronjob_id}: {e}"
+            )
+            return False
+
+    async def renew_lock(self):
+        """
+        Renew the lock (update the TTL) for the pod holding the lock.
+        """
+        if not self.prisma:
+            return False
+        try:
+            current_time = datetime.now(timezone.utc)
+            # Extend the TTL for another DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+            ttl_expiry = current_time + timedelta(
+                seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+            )
+
+            await self.prisma.db.cronJob.update(
+                where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
+                data={"ttl": ttl_expiry, "last_updated": current_time},
+            )
+            verbose_proxy_logger.info(
+                f"Renewed the lock for Pod {self.pod_id} for {self.cronjob_id}"
+            )
+        except Exception as e:
+            verbose_proxy_logger.error(
+                f"Error renewing the lock for {self.cronjob_id}: {e}"
+            )
+
+    async def release_lock(self):
+        """
+        Release the lock and mark the pod as inactive.
+        """
+        if not self.prisma:
+            return False
+        try:
+            await self.prisma.db.cronJob.update(
+                where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
+                data={"status": "INACTIVE"},
+            )
+            verbose_proxy_logger.info(
+                f"Pod {self.pod_id} has released the lock for {self.cronjob_id}."
+            )
+        except Exception as e:
+            verbose_proxy_logger.error(
+                f"Error releasing the lock for {self.cronjob_id}: {e}"
+            )

From 91392305316200a0075e8d2c5a538f0bc8842fc9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 21:54:12 -0700
Subject: [PATCH 132/244] update the correct set of txs

---
 litellm/proxy/db/db_spend_update_writer.py | 64 +++++++++++++++-------
 1 file changed, 45 insertions(+), 19 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 21717b8cbd..c49d5aa989 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -23,7 +23,10 @@ from litellm.proxy._types import (
     SpendLogsPayload,
 )
 from litellm.proxy.db.pod_leader_manager import PodLockManager
-from litellm.proxy.db.redis_update_buffer import RedisUpdateBuffer
+from litellm.proxy.db.redis_update_buffer import (
+    DBSpendUpdateTransactions,
+    RedisUpdateBuffer,
+)
 
 if TYPE_CHECKING:
     from litellm.proxy.utils import PrismaClient, ProxyLogging
@@ -406,17 +409,31 @@ class DBSpendUpdateWriter:
             )
 
             if await self.pod_leader_manager.acquire_lock():
-                await DBSpendUpdateWriter._commit_spend_updates_to_db(
-                    prisma_client=prisma_client,
-                    n_retry_times=n_retry_times,
-                    proxy_logging_obj=proxy_logging_obj,
+                db_spend_update_transactions = (
+                    await self.redis_update_buffer.get_all_update_transactions_from_redis()
                 )
+                if db_spend_update_transactions is not None:
+                    await DBSpendUpdateWriter._commit_spend_updates_to_db(
+                        prisma_client=prisma_client,
+                        n_retry_times=n_retry_times,
+                        proxy_logging_obj=proxy_logging_obj,
+                        db_spend_update_transactions=db_spend_update_transactions,
+                    )
                 await self.pod_leader_manager.release_lock()
         else:
+            db_spend_update_transactions = DBSpendUpdateTransactions(
+                user_list_transactons=prisma_client.user_list_transactons,
+                end_user_list_transactons=prisma_client.end_user_list_transactons,
+                key_list_transactons=prisma_client.key_list_transactons,
+                team_list_transactons=prisma_client.team_list_transactons,
+                team_member_list_transactons=prisma_client.team_member_list_transactons,
+                org_list_transactons=prisma_client.org_list_transactons,
+            )
             await DBSpendUpdateWriter._commit_spend_updates_to_db(
                 prisma_client=prisma_client,
                 n_retry_times=n_retry_times,
                 proxy_logging_obj=proxy_logging_obj,
+                db_spend_update_transactions=db_spend_update_transactions,
             )
 
     @staticmethod
@@ -424,6 +441,7 @@ class DBSpendUpdateWriter:
         prisma_client: PrismaClient,
         n_retry_times: int,
         proxy_logging_obj: ProxyLogging,
+        db_spend_update_transactions: DBSpendUpdateTransactions,
     ):
         """
         Commits all the spend `UPDATE` transactions to the Database
@@ -435,7 +453,8 @@ class DBSpendUpdateWriter:
         )
 
         ### UPDATE USER TABLE ###
-        if len(prisma_client.user_list_transactons.keys()) > 0:
+        user_list_transactons = db_spend_update_transactions["user_list_transactons"]
+        if len(user_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -446,7 +465,7 @@ class DBSpendUpdateWriter:
                             for (
                                 user_id,
                                 response_cost,
-                            ) in prisma_client.user_list_transactons.items():
+                            ) in user_list_transactons.items():
                                 batcher.litellm_usertable.update_many(
                                     where={"user_id": user_id},
                                     data={"spend": {"increment": response_cost}},
@@ -477,19 +496,21 @@ class DBSpendUpdateWriter:
                 len(prisma_client.end_user_list_transactons.keys())
             )
         )
-        if len(prisma_client.end_user_list_transactons.keys()) > 0:
+        end_user_list_transactons = db_spend_update_transactions[
+            "end_user_list_transactons"
+        ]
+        if len(end_user_list_transactons.keys()) > 0:
             await ProxyUpdateSpend.update_end_user_spend(
                 n_retry_times=n_retry_times,
                 prisma_client=prisma_client,
                 proxy_logging_obj=proxy_logging_obj,
             )
         ### UPDATE KEY TABLE ###
+        key_list_transactons = db_spend_update_transactions["key_list_transactons"]
         verbose_proxy_logger.debug(
-            "KEY Spend transactions: {}".format(
-                len(prisma_client.key_list_transactons.keys())
-            )
+            "KEY Spend transactions: {}".format(len(key_list_transactons.keys()))
         )
-        if len(prisma_client.key_list_transactons.keys()) > 0:
+        if len(key_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -500,7 +521,7 @@ class DBSpendUpdateWriter:
                             for (
                                 token,
                                 response_cost,
-                            ) in prisma_client.key_list_transactons.items():
+                            ) in key_list_transactons.items():
                                 batcher.litellm_verificationtoken.update_many(  # 'update_many' prevents error from being raised if no row exists
                                     where={"token": token},
                                     data={"spend": {"increment": response_cost}},
@@ -531,7 +552,8 @@ class DBSpendUpdateWriter:
                 len(prisma_client.team_list_transactons.keys())
             )
         )
-        if len(prisma_client.team_list_transactons.keys()) > 0:
+        team_list_transactons = db_spend_update_transactions["team_list_transactons"]
+        if len(team_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -542,7 +564,7 @@ class DBSpendUpdateWriter:
                             for (
                                 team_id,
                                 response_cost,
-                            ) in prisma_client.team_list_transactons.items():
+                            ) in team_list_transactons.items():
                                 verbose_proxy_logger.debug(
                                     "Updating spend for team id={} by {}".format(
                                         team_id, response_cost
@@ -573,7 +595,10 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE TEAM Membership TABLE with spend ###
-        if len(prisma_client.team_member_list_transactons.keys()) > 0:
+        team_member_list_transactons = db_spend_update_transactions[
+            "team_member_list_transactons"
+        ]
+        if len(team_member_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -584,7 +609,7 @@ class DBSpendUpdateWriter:
                             for (
                                 key,
                                 response_cost,
-                            ) in prisma_client.team_member_list_transactons.items():
+                            ) in team_member_list_transactons.items():
                                 # key is "team_id::<value>::user_id::<value>"
                                 team_id = key.split("::")[1]
                                 user_id = key.split("::")[3]
@@ -614,7 +639,8 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE ORG TABLE ###
-        if len(prisma_client.org_list_transactons.keys()) > 0:
+        org_list_transactons = db_spend_update_transactions["org_list_transactons"]
+        if len(org_list_transactons.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -625,7 +651,7 @@ class DBSpendUpdateWriter:
                             for (
                                 org_id,
                                 response_cost,
-                            ) in prisma_client.org_list_transactons.items():
+                            ) in org_list_transactons.items():
                                 batcher.litellm_organizationtable.update_many(  # 'update_many' prevents error from being raised if no row exists
                                     where={"organization_id": org_id},
                                     data={"spend": {"increment": response_cost}},

From 79175ddb538d480e4d29874334d9f207d22626a2 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 22:04:59 -0700
Subject: [PATCH 133/244] test: fix test

---
 tests/proxy_unit_tests/test_update_spend.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/proxy_unit_tests/test_update_spend.py b/tests/proxy_unit_tests/test_update_spend.py
index 6efc68a077..36965cafa7 100644
--- a/tests/proxy_unit_tests/test_update_spend.py
+++ b/tests/proxy_unit_tests/test_update_spend.py
@@ -28,6 +28,7 @@ class MockPrismaClient:
         self.team_list_transactons = {}
         self.team_member_list_transactons = {}
         self.org_list_transactons = {}
+        self.daily_user_spend_transactions = {}
 
     def jsonify_object(self, obj):
         return obj

From 340a63bace76d4f833355cc3a5b5e4996f99740f Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 22:16:21 -0700
Subject: [PATCH 134/244] fix(mistral_chat_transformation.py): add missing
 comma (#9606)

---
 litellm/llms/mistral/mistral_chat_transformation.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/litellm/llms/mistral/mistral_chat_transformation.py b/litellm/llms/mistral/mistral_chat_transformation.py
index 3e7a97c92f..67d88868d3 100644
--- a/litellm/llms/mistral/mistral_chat_transformation.py
+++ b/litellm/llms/mistral/mistral_chat_transformation.py
@@ -80,6 +80,7 @@ class MistralConfig(OpenAIGPTConfig):
             "temperature",
             "top_p",
             "max_tokens",
+            "max_completion_tokens",
             "tools",
             "tool_choice",
             "seed",
@@ -105,6 +106,10 @@ class MistralConfig(OpenAIGPTConfig):
         for param, value in non_default_params.items():
             if param == "max_tokens":
                 optional_params["max_tokens"] = value
+            if (
+                param == "max_completion_tokens"
+            ):  # max_completion_tokens should take priority
+                optional_params["max_tokens"] = value
             if param == "tools":
                 optional_params["tools"] = value
             if param == "stream" and value is True:

From 1bfffadd052a87236ed4cd3cc3fdd4812c00c469 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 22:31:38 -0700
Subject: [PATCH 135/244] fix typo

---
 litellm/proxy/proxy_server.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index d7e62f98d0..91d700b843 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -1532,7 +1532,7 @@ class ProxyConfig:
                     cache_params = {}
                     if "cache_params" in litellm_settings:
                         cache_params_in_config = litellm_settings["cache_params"]
-                        # overwrie cache_params with cache_params_in_config
+                        # overwrite cache_params with cache_params_in_config
                         cache_params.update(cache_params_in_config)
 
                     cache_type = cache_params.get("type", "redis")

From fc46f6b86126b76d292d3e512ae079a1ebe8f032 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 22:34:15 -0700
Subject: [PATCH 136/244] fix db spend update buffer

---
 litellm/proxy/db/db_spend_update_writer.py | 8 +++++---
 litellm/proxy/db/redis_update_buffer.py    | 9 +++++++--
 litellm/proxy/proxy_config.yaml            | 7 ++++++-
 litellm/proxy/utils.py                     | 5 ++---
 4 files changed, 20 insertions(+), 9 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index c49d5aa989..0183fa433b 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -14,7 +14,7 @@ from typing import TYPE_CHECKING, Any, Optional, Union
 
 import litellm
 from litellm._logging import verbose_proxy_logger
-from litellm.caching import DualCache, RedisCache, RedisClusterCache
+from litellm.caching import DualCache, RedisCache
 from litellm.constants import DB_SPEND_UPDATE_JOB_NAME
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
@@ -44,12 +44,13 @@ class DBSpendUpdateWriter:
     """
 
     def __init__(
-        self, redis_cache: Optional[Union[RedisCache, RedisClusterCache]] = None
+        self,
+        redis_cache: Optional[RedisCache] = None,
     ):
         from litellm.proxy.proxy_server import prisma_client
 
         self.redis_cache = redis_cache
-        self.redis_update_buffer = RedisUpdateBuffer(redis_cache=redis_cache)
+        self.redis_update_buffer = RedisUpdateBuffer(redis_cache=self.redis_cache)
         self.pod_leader_manager = PodLockManager(
             cronjob_id=DB_SPEND_UPDATE_JOB_NAME,
             prisma_client=prisma_client,
@@ -408,6 +409,7 @@ class DBSpendUpdateWriter:
                 prisma_client=prisma_client,
             )
 
+            # Only commit from redis to db if this pod is the leader
             if await self.pod_leader_manager.acquire_lock():
                 db_spend_update_transactions = (
                     await self.redis_update_buffer.get_all_update_transactions_from_redis()
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index d3591032ff..ea7f14d321 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -6,7 +6,8 @@ This is to prevent deadlocks and improve reliability
 
 from typing import TYPE_CHECKING, Any, Dict, Optional, TypedDict, Union, cast
 
-from litellm.caching import RedisCache, RedisClusterCache
+from litellm._logging import verbose_proxy_logger
+from litellm.caching import RedisCache
 from litellm.secret_managers.main import str_to_bool
 
 if TYPE_CHECKING:
@@ -32,7 +33,8 @@ class RedisUpdateBuffer:
     """
 
     def __init__(
-        self, redis_cache: Optional[Union[RedisCache, RedisClusterCache]] = None
+        self,
+        redis_cache: Optional[RedisCache] = None,
     ):
         self.redis_cache = redis_cache
 
@@ -99,6 +101,9 @@ class RedisUpdateBuffer:
         Increments all transaction objects in Redis
         """
         if self.redis_cache is None:
+            verbose_proxy_logger.debug(
+                "redis_cache is None, skipping increment_all_transaction_objects_in_redis"
+            )
             return
         for transaction_id, transaction_amount in transactions.items():
             await self.redis_cache.async_increment(
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 4912a35f89..a1be54421b 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -6,4 +6,9 @@ model_list:
       api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
 general_settings:
-  allow_requests_on_db_unavailable: True
\ No newline at end of file
+  use_redis_transaction_buffer: True
+
+litellm_settings:
+  cache: true
+  cache_params:
+    type: redis
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index c208f60529..040c6c14ef 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -265,9 +265,7 @@ class ProxyLogging:
         )
         self.premium_user = premium_user
         self.service_logging_obj = ServiceLogging()
-        self.db_spend_update_writer = DBSpendUpdateWriter(
-            redis_cache=self.internal_usage_cache.dual_cache.redis_cache
-        )
+        self.db_spend_update_writer = DBSpendUpdateWriter()
 
     def startup_event(
         self,
@@ -340,6 +338,7 @@ class ProxyLogging:
 
         if redis_cache is not None:
             self.internal_usage_cache.dual_cache.redis_cache = redis_cache
+            self.db_spend_update_writer.redis_update_buffer.redis_cache = redis_cache
 
     def _init_litellm_callbacks(self, llm_router: Optional[Router] = None):
         litellm.logging_callback_manager.add_litellm_callback(self.max_parallel_request_limiter)  # type: ignore

From 758182fc7f66a96403013ffe0ba970bec635ea2d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 22:36:00 -0700
Subject: [PATCH 137/244] fix typo on codebase

---
 litellm/proxy/db/db_spend_update_writer.py  | 78 ++++++++++-----------
 litellm/proxy/db/redis_update_buffer.py     | 50 ++++++-------
 litellm/proxy/utils.py                      | 16 ++---
 tests/local_testing/test_update_spend.py    |  2 +-
 tests/proxy_unit_tests/test_proxy_utils.py  |  4 +-
 tests/proxy_unit_tests/test_update_spend.py | 12 ++--
 6 files changed, 82 insertions(+), 80 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 0183fa433b..7184262ee5 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -201,7 +201,7 @@ class DBSpendUpdateWriter:
             await DBSpendUpdateWriter._update_transaction_list(
                 response_cost=response_cost,
                 entity_id=hashed_token,
-                transaction_list=prisma_client.key_list_transactons,
+                transaction_list=prisma_client.key_list_transactions,
                 entity_type=Litellm_EntityType.KEY,
                 debug_msg=f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}.",
             )
@@ -241,7 +241,7 @@ class DBSpendUpdateWriter:
                         await DBSpendUpdateWriter._update_transaction_list(
                             response_cost=response_cost,
                             entity_id=_id,
-                            transaction_list=prisma_client.user_list_transactons,
+                            transaction_list=prisma_client.user_list_transactions,
                             entity_type=Litellm_EntityType.USER,
                         )
 
@@ -249,7 +249,7 @@ class DBSpendUpdateWriter:
                     await DBSpendUpdateWriter._update_transaction_list(
                         response_cost=response_cost,
                         entity_id=end_user_id,
-                        transaction_list=prisma_client.end_user_list_transactons,
+                        transaction_list=prisma_client.end_user_list_transactions,
                         entity_type=Litellm_EntityType.END_USER,
                     )
         except Exception as e:
@@ -275,7 +275,7 @@ class DBSpendUpdateWriter:
             await DBSpendUpdateWriter._update_transaction_list(
                 response_cost=response_cost,
                 entity_id=team_id,
-                transaction_list=prisma_client.team_list_transactons,
+                transaction_list=prisma_client.team_list_transactions,
                 entity_type=Litellm_EntityType.TEAM,
             )
 
@@ -287,7 +287,7 @@ class DBSpendUpdateWriter:
                     await DBSpendUpdateWriter._update_transaction_list(
                         response_cost=response_cost,
                         entity_id=team_member_key,
-                        transaction_list=prisma_client.team_member_list_transactons,
+                        transaction_list=prisma_client.team_member_list_transactions,
                         entity_type=Litellm_EntityType.TEAM_MEMBER,
                     )
             except Exception:
@@ -314,7 +314,7 @@ class DBSpendUpdateWriter:
             await DBSpendUpdateWriter._update_transaction_list(
                 response_cost=response_cost,
                 entity_id=org_id,
-                transaction_list=prisma_client.org_list_transactons,
+                transaction_list=prisma_client.org_list_transactions,
                 entity_type=Litellm_EntityType.ORGANIZATION,
             )
         except Exception as e:
@@ -424,12 +424,12 @@ class DBSpendUpdateWriter:
                 await self.pod_leader_manager.release_lock()
         else:
             db_spend_update_transactions = DBSpendUpdateTransactions(
-                user_list_transactons=prisma_client.user_list_transactons,
-                end_user_list_transactons=prisma_client.end_user_list_transactons,
-                key_list_transactons=prisma_client.key_list_transactons,
-                team_list_transactons=prisma_client.team_list_transactons,
-                team_member_list_transactons=prisma_client.team_member_list_transactons,
-                org_list_transactons=prisma_client.org_list_transactons,
+                user_list_transactions=prisma_client.user_list_transactions,
+                end_user_list_transactions=prisma_client.end_user_list_transactions,
+                key_list_transactions=prisma_client.key_list_transactions,
+                team_list_transactions=prisma_client.team_list_transactions,
+                team_member_list_transactions=prisma_client.team_member_list_transactions,
+                org_list_transactions=prisma_client.org_list_transactions,
             )
             await DBSpendUpdateWriter._commit_spend_updates_to_db(
                 prisma_client=prisma_client,
@@ -455,8 +455,8 @@ class DBSpendUpdateWriter:
         )
 
         ### UPDATE USER TABLE ###
-        user_list_transactons = db_spend_update_transactions["user_list_transactons"]
-        if len(user_list_transactons.keys()) > 0:
+        user_list_transactions = db_spend_update_transactions["user_list_transactions"]
+        if len(user_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -467,12 +467,12 @@ class DBSpendUpdateWriter:
                             for (
                                 user_id,
                                 response_cost,
-                            ) in user_list_transactons.items():
+                            ) in user_list_transactions.items():
                                 batcher.litellm_usertable.update_many(
                                     where={"user_id": user_id},
                                     data={"spend": {"increment": response_cost}},
                                 )
-                    prisma_client.user_list_transactons = (
+                    prisma_client.user_list_transactions = (
                         {}
                     )  # Clear the remaining transactions after processing all batches in the loop.
                     break
@@ -495,24 +495,24 @@ class DBSpendUpdateWriter:
         ### UPDATE END-USER TABLE ###
         verbose_proxy_logger.debug(
             "End-User Spend transactions: {}".format(
-                len(prisma_client.end_user_list_transactons.keys())
+                len(prisma_client.end_user_list_transactions.keys())
             )
         )
-        end_user_list_transactons = db_spend_update_transactions[
-            "end_user_list_transactons"
+        end_user_list_transactions = db_spend_update_transactions[
+            "end_user_list_transactions"
         ]
-        if len(end_user_list_transactons.keys()) > 0:
+        if len(end_user_list_transactions.keys()) > 0:
             await ProxyUpdateSpend.update_end_user_spend(
                 n_retry_times=n_retry_times,
                 prisma_client=prisma_client,
                 proxy_logging_obj=proxy_logging_obj,
             )
         ### UPDATE KEY TABLE ###
-        key_list_transactons = db_spend_update_transactions["key_list_transactons"]
+        key_list_transactions = db_spend_update_transactions["key_list_transactions"]
         verbose_proxy_logger.debug(
-            "KEY Spend transactions: {}".format(len(key_list_transactons.keys()))
+            "KEY Spend transactions: {}".format(len(key_list_transactions.keys()))
         )
-        if len(key_list_transactons.keys()) > 0:
+        if len(key_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -523,12 +523,12 @@ class DBSpendUpdateWriter:
                             for (
                                 token,
                                 response_cost,
-                            ) in key_list_transactons.items():
+                            ) in key_list_transactions.items():
                                 batcher.litellm_verificationtoken.update_many(  # 'update_many' prevents error from being raised if no row exists
                                     where={"token": token},
                                     data={"spend": {"increment": response_cost}},
                                 )
-                    prisma_client.key_list_transactons = (
+                    prisma_client.key_list_transactions = (
                         {}
                     )  # Clear the remaining transactions after processing all batches in the loop.
                     break
@@ -551,11 +551,11 @@ class DBSpendUpdateWriter:
         ### UPDATE TEAM TABLE ###
         verbose_proxy_logger.debug(
             "Team Spend transactions: {}".format(
-                len(prisma_client.team_list_transactons.keys())
+                len(prisma_client.team_list_transactions.keys())
             )
         )
-        team_list_transactons = db_spend_update_transactions["team_list_transactons"]
-        if len(team_list_transactons.keys()) > 0:
+        team_list_transactions = db_spend_update_transactions["team_list_transactions"]
+        if len(team_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -566,7 +566,7 @@ class DBSpendUpdateWriter:
                             for (
                                 team_id,
                                 response_cost,
-                            ) in team_list_transactons.items():
+                            ) in team_list_transactions.items():
                                 verbose_proxy_logger.debug(
                                     "Updating spend for team id={} by {}".format(
                                         team_id, response_cost
@@ -576,7 +576,7 @@ class DBSpendUpdateWriter:
                                     where={"team_id": team_id},
                                     data={"spend": {"increment": response_cost}},
                                 )
-                    prisma_client.team_list_transactons = (
+                    prisma_client.team_list_transactions = (
                         {}
                     )  # Clear the remaining transactions after processing all batches in the loop.
                     break
@@ -597,10 +597,10 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE TEAM Membership TABLE with spend ###
-        team_member_list_transactons = db_spend_update_transactions[
-            "team_member_list_transactons"
+        team_member_list_transactions = db_spend_update_transactions[
+            "team_member_list_transactions"
         ]
-        if len(team_member_list_transactons.keys()) > 0:
+        if len(team_member_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -611,7 +611,7 @@ class DBSpendUpdateWriter:
                             for (
                                 key,
                                 response_cost,
-                            ) in team_member_list_transactons.items():
+                            ) in team_member_list_transactions.items():
                                 # key is "team_id::<value>::user_id::<value>"
                                 team_id = key.split("::")[1]
                                 user_id = key.split("::")[3]
@@ -620,7 +620,7 @@ class DBSpendUpdateWriter:
                                     where={"team_id": team_id, "user_id": user_id},
                                     data={"spend": {"increment": response_cost}},
                                 )
-                    prisma_client.team_member_list_transactons = (
+                    prisma_client.team_member_list_transactions = (
                         {}
                     )  # Clear the remaining transactions after processing all batches in the loop.
                     break
@@ -641,8 +641,8 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE ORG TABLE ###
-        org_list_transactons = db_spend_update_transactions["org_list_transactons"]
-        if len(org_list_transactons.keys()) > 0:
+        org_list_transactions = db_spend_update_transactions["org_list_transactions"]
+        if len(org_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -653,12 +653,12 @@ class DBSpendUpdateWriter:
                             for (
                                 org_id,
                                 response_cost,
-                            ) in org_list_transactons.items():
+                            ) in org_list_transactions.items():
                                 batcher.litellm_organizationtable.update_many(  # 'update_many' prevents error from being raised if no row exists
                                     where={"organization_id": org_id},
                                     data={"spend": {"increment": response_cost}},
                                 )
-                    prisma_client.org_list_transactons = (
+                    prisma_client.org_list_transactions = (
                         {}
                     )  # Clear the remaining transactions after processing all batches in the loop.
                     break
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index ea7f14d321..22afc56483 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -17,12 +17,12 @@ else:
 
 
 class DBSpendUpdateTransactions(TypedDict):
-    user_list_transactons: Dict[str, float]
-    end_user_list_transactons: Dict[str, float]
-    key_list_transactons: Dict[str, float]
-    team_list_transactons: Dict[str, float]
-    team_member_list_transactons: Dict[str, float]
-    org_list_transactons: Dict[str, float]
+    user_list_transactions: Dict[str, float]
+    end_user_list_transactions: Dict[str, float]
+    key_list_transactions: Dict[str, float]
+    team_list_transactions: Dict[str, float]
+    team_member_list_transactions: Dict[str, float]
+    org_list_transactions: Dict[str, float]
 
 
 class RedisUpdateBuffer:
@@ -78,12 +78,12 @@ class RedisUpdateBuffer:
         """
         IN_MEMORY_UPDATE_TRANSACTIONS: DBSpendUpdateTransactions = (
             DBSpendUpdateTransactions(
-                user_list_transactons=prisma_client.user_list_transactons,
-                end_user_list_transactons=prisma_client.end_user_list_transactons,
-                key_list_transactons=prisma_client.key_list_transactons,
-                team_list_transactons=prisma_client.team_list_transactons,
-                team_member_list_transactons=prisma_client.team_member_list_transactons,
-                org_list_transactons=prisma_client.org_list_transactons,
+                user_list_transactions=prisma_client.user_list_transactions,
+                end_user_list_transactions=prisma_client.end_user_list_transactions,
+                key_list_transactions=prisma_client.key_list_transactions,
+                team_list_transactions=prisma_client.team_list_transactions,
+                team_member_list_transactions=prisma_client.team_member_list_transactions,
+                org_list_transactions=prisma_client.org_list_transactions,
             )
         )
         for key, _transactions in IN_MEMORY_UPDATE_TRANSACTIONS.items():
@@ -120,21 +120,23 @@ class RedisUpdateBuffer:
         if self.redis_cache is None:
             return None
         expected_keys = [
-            "user_list_transactons",
-            "end_user_list_transactons",
-            "key_list_transactons",
-            "team_list_transactons",
-            "team_member_list_transactons",
-            "org_list_transactons",
+            "user_list_transactions",
+            "end_user_list_transactions",
+            "key_list_transactions",
+            "team_list_transactions",
+            "team_member_list_transactions",
+            "org_list_transactions",
         ]
         result = await self.redis_cache.async_batch_get_cache(expected_keys)
         if result is None:
             return None
         return DBSpendUpdateTransactions(
-            user_list_transactons=result.get("user_list_transactons", {}),
-            end_user_list_transactons=result.get("end_user_list_transactons", {}),
-            key_list_transactons=result.get("key_list_transactons", {}),
-            team_list_transactons=result.get("team_list_transactons", {}),
-            team_member_list_transactons=result.get("team_member_list_transactons", {}),
-            org_list_transactons=result.get("org_list_transactons", {}),
+            user_list_transactions=result.get("user_list_transactions", {}),
+            end_user_list_transactions=result.get("end_user_list_transactions", {}),
+            key_list_transactions=result.get("key_list_transactions", {}),
+            team_list_transactions=result.get("team_list_transactions", {}),
+            team_member_list_transactions=result.get(
+                "team_member_list_transactions", {}
+            ),
+            org_list_transactions=result.get("org_list_transactions", {}),
         )
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 040c6c14ef..d0d4ea9b4e 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1101,12 +1101,12 @@ def jsonify_object(data: dict) -> dict:
 
 
 class PrismaClient:
-    user_list_transactons: dict = {}
-    end_user_list_transactons: dict = {}
-    key_list_transactons: dict = {}
-    team_list_transactons: dict = {}
-    team_member_list_transactons: dict = {}  # key is ["team_id" + "user_id"]
-    org_list_transactons: dict = {}
+    user_list_transactions: dict = {}
+    end_user_list_transactions: dict = {}
+    key_list_transactions: dict = {}
+    team_list_transactions: dict = {}
+    team_member_list_transactions: dict = {}  # key is ["team_id" + "user_id"]
+    org_list_transactions: dict = {}
     spend_log_transactions: List = []
     daily_user_spend_transactions: Dict[str, DailyUserSpendTransaction] = {}
 
@@ -2433,7 +2433,7 @@ class ProxyUpdateSpend:
                         for (
                             end_user_id,
                             response_cost,
-                        ) in prisma_client.end_user_list_transactons.items():
+                        ) in prisma_client.end_user_list_transactions.items():
                             if litellm.max_end_user_budget is not None:
                                 pass
                             batcher.litellm_endusertable.upsert(
@@ -2461,7 +2461,7 @@ class ProxyUpdateSpend:
                     e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                 )
             finally:
-                prisma_client.end_user_list_transactons = (
+                prisma_client.end_user_list_transactions = (
                     {}
                 )  # reset the end user list transactions - prevent bad data from causing issues
 
diff --git a/tests/local_testing/test_update_spend.py b/tests/local_testing/test_update_spend.py
index 6aeae851ab..fffa3062d7 100644
--- a/tests/local_testing/test_update_spend.py
+++ b/tests/local_testing/test_update_spend.py
@@ -93,7 +93,7 @@ def prisma_client():
 
 @pytest.mark.asyncio
 async def test_batch_update_spend(prisma_client):
-    prisma_client.user_list_transactons["test-litellm-user-5"] = 23
+    prisma_client.user_list_transactions["test-litellm-user-5"] = 23
     setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
     setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
     await litellm.proxy.proxy_server.prisma_client.connect()
diff --git a/tests/proxy_unit_tests/test_proxy_utils.py b/tests/proxy_unit_tests/test_proxy_utils.py
index dccf0d1842..d613118fc8 100644
--- a/tests/proxy_unit_tests/test_proxy_utils.py
+++ b/tests/proxy_unit_tests/test_proxy_utils.py
@@ -1509,7 +1509,7 @@ from litellm.proxy.utils import ProxyUpdateSpend
 async def test_end_user_transactions_reset():
     # Setup
     mock_client = MagicMock()
-    mock_client.end_user_list_transactons = {"1": 10.0}  # Bad log
+    mock_client.end_user_list_transactions = {"1": 10.0}  # Bad log
     mock_client.db.tx = AsyncMock(side_effect=Exception("DB Error"))
 
     # Call function - should raise error
@@ -1520,7 +1520,7 @@ async def test_end_user_transactions_reset():
 
     # Verify cleanup happened
     assert (
-        mock_client.end_user_list_transactons == {}
+        mock_client.end_user_list_transactions == {}
     ), "Transactions list should be empty after error"
 
 
diff --git a/tests/proxy_unit_tests/test_update_spend.py b/tests/proxy_unit_tests/test_update_spend.py
index 6efc68a077..355cb8a403 100644
--- a/tests/proxy_unit_tests/test_update_spend.py
+++ b/tests/proxy_unit_tests/test_update_spend.py
@@ -22,12 +22,12 @@ class MockPrismaClient:
     def __init__(self):
         self.db = MagicMock()
         self.spend_log_transactions = []
-        self.user_list_transactons = {}
-        self.end_user_list_transactons = {}
-        self.key_list_transactons = {}
-        self.team_list_transactons = {}
-        self.team_member_list_transactons = {}
-        self.org_list_transactons = {}
+        self.user_list_transactions = {}
+        self.end_user_list_transactions = {}
+        self.key_list_transactions = {}
+        self.team_list_transactions = {}
+        self.team_member_list_transactions = {}
+        self.org_list_transactions = {}
 
     def jsonify_object(self, obj):
         return obj

From ccbac691e531d0bffb5be58eae811eb261a2c4b1 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 22:50:48 -0700
Subject: [PATCH 138/244] Support discovering gemini, anthropic, xai models by
 calling their `/v1/model` endpoint (#9530)

* fix: initial commit for adding provider model discovery to gemini

* feat(gemini/): add model discovery for gemini/ route

* docs(set_keys.md): update docs to show you can check available gemini models as well

* feat(anthropic/): add model discovery for anthropic api key

* feat(xai/): add model discovery for XAI

enables checking what models an xai key can call

* ci: bump ci config yml

* fix(topaz/common_utils.py): fix linting error

* fix: fix linting error for python38
---
 docs/my-website/docs/set_keys.md        | 14 +++++++
 litellm/__init__.py                     |  3 ++
 litellm/llms/anthropic/common_utils.py  | 51 ++++++++++++++++++++++++
 litellm/llms/base_llm/base_utils.py     | 12 +++++-
 litellm/llms/gemini/common_utils.py     | 52 +++++++++++++++++++++++++
 litellm/llms/topaz/common_utils.py      |  4 +-
 litellm/llms/xai/common_utils.py        | 51 ++++++++++++++++++++++++
 litellm/utils.py                        | 24 ++++++++++--
 tests/litellm_utils_tests/test_utils.py | 18 +++++++++
 9 files changed, 223 insertions(+), 6 deletions(-)
 create mode 100644 litellm/llms/gemini/common_utils.py
 create mode 100644 litellm/llms/xai/common_utils.py

diff --git a/docs/my-website/docs/set_keys.md b/docs/my-website/docs/set_keys.md
index 3a5ff08d63..693cf5f7f4 100644
--- a/docs/my-website/docs/set_keys.md
+++ b/docs/my-website/docs/set_keys.md
@@ -188,7 +188,13 @@ Currently implemented for:
 - OpenAI (if OPENAI_API_KEY is set)
 - Fireworks AI (if FIREWORKS_AI_API_KEY is set)
 - LiteLLM Proxy (if LITELLM_PROXY_API_KEY is set)
+- Gemini (if GEMINI_API_KEY is set)
+- XAI (if XAI_API_KEY is set)   
+- Anthropic (if ANTHROPIC_API_KEY is set)
 
+You can also specify a custom provider to check:
+
+**All providers**:
 ```python
 from litellm import get_valid_models
 
@@ -196,6 +202,14 @@ valid_models = get_valid_models(check_provider_endpoint=True)
 print(valid_models)
 ```
 
+**Specific provider**:
+```python
+from litellm import get_valid_models
+
+valid_models = get_valid_models(check_provider_endpoint=True, custom_llm_provider="openai")
+print(valid_models)
+```
+
 ### `validate_environment(model: str)`
 
 This helper tells you if you have all the required environment variables for a model, and if not - what's missing. 
diff --git a/litellm/__init__.py b/litellm/__init__.py
index 8cdde24a6a..a4903f828c 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -813,6 +813,7 @@ from .llms.oobabooga.chat.transformation import OobaboogaConfig
 from .llms.maritalk import MaritalkConfig
 from .llms.openrouter.chat.transformation import OpenrouterConfig
 from .llms.anthropic.chat.transformation import AnthropicConfig
+from .llms.anthropic.common_utils import AnthropicModelInfo
 from .llms.groq.stt.transformation import GroqSTTConfig
 from .llms.anthropic.completion.transformation import AnthropicTextConfig
 from .llms.triton.completion.transformation import TritonConfig
@@ -848,6 +849,7 @@ from .llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
     VertexGeminiConfig,
     VertexGeminiConfig as VertexAIConfig,
 )
+from .llms.gemini.common_utils import GeminiModelInfo
 from .llms.gemini.chat.transformation import (
     GoogleAIStudioGeminiConfig,
     GoogleAIStudioGeminiConfig as GeminiConfig,  # aliased to maintain backwards compatibility
@@ -984,6 +986,7 @@ from .llms.fireworks_ai.embed.fireworks_ai_transformation import (
 from .llms.friendliai.chat.transformation import FriendliaiChatConfig
 from .llms.jina_ai.embedding.transformation import JinaAIEmbeddingConfig
 from .llms.xai.chat.transformation import XAIChatConfig
+from .llms.xai.common_utils import XAIModelInfo
 from .llms.volcengine import VolcEngineConfig
 from .llms.codestral.completion.transformation import CodestralTextCompletionConfig
 from .llms.azure.azure import (
diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py
index 409bbe2d82..52a96f5a30 100644
--- a/litellm/llms/anthropic/common_utils.py
+++ b/litellm/llms/anthropic/common_utils.py
@@ -6,7 +6,10 @@ from typing import Optional, Union
 
 import httpx
 
+import litellm
+from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
 from litellm.llms.base_llm.chat.transformation import BaseLLMException
+from litellm.secret_managers.main import get_secret_str
 
 
 class AnthropicError(BaseLLMException):
@@ -19,6 +22,54 @@ class AnthropicError(BaseLLMException):
         super().__init__(status_code=status_code, message=message, headers=headers)
 
 
+class AnthropicModelInfo(BaseLLMModelInfo):
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> str | None:
+        return (
+            api_base
+            or get_secret_str("ANTHROPIC_API_BASE")
+            or "https://api.anthropic.com"
+        )
+
+    @staticmethod
+    def get_api_key(api_key: str | None = None) -> str | None:
+        return api_key or get_secret_str("ANTHROPIC_API_KEY")
+
+    @staticmethod
+    def get_base_model(model: str) -> str | None:
+        return model.replace("anthropic/", "")
+
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> list[str]:
+        api_base = AnthropicModelInfo.get_api_base(api_base)
+        api_key = AnthropicModelInfo.get_api_key(api_key)
+        if api_base is None or api_key is None:
+            raise ValueError(
+                "ANTHROPIC_API_BASE or ANTHROPIC_API_KEY is not set. Please set the environment variable, to query Anthropic's `/models` endpoint."
+            )
+        response = litellm.module_level_client.get(
+            url=f"{api_base}/v1/models",
+            headers={"x-api-key": api_key, "anthropic-version": "2023-06-01"},
+        )
+
+        try:
+            response.raise_for_status()
+        except httpx.HTTPStatusError:
+            raise Exception(
+                f"Failed to fetch models from Anthropic. Status code: {response.status_code}, Response: {response.text}"
+            )
+
+        models = response.json()["data"]
+
+        litellm_model_names = []
+        for model in models:
+            stripped_model_name = model["id"]
+            litellm_model_name = "anthropic/" + stripped_model_name
+            litellm_model_names.append(litellm_model_name)
+        return litellm_model_names
+
+
 def process_anthropic_headers(headers: Union[httpx.Headers, dict]) -> dict:
     openai_headers = {}
     if "anthropic-ratelimit-requests-limit" in headers:
diff --git a/litellm/llms/base_llm/base_utils.py b/litellm/llms/base_llm/base_utils.py
index 919cdbfd02..cef64d01e3 100644
--- a/litellm/llms/base_llm/base_utils.py
+++ b/litellm/llms/base_llm/base_utils.py
@@ -19,11 +19,19 @@ class BaseLLMModelInfo(ABC):
         self,
         model: str,
     ) -> Optional[ProviderSpecificModelInfo]:
+        """
+        Default values all models of this provider support.
+        """
         return None
 
     @abstractmethod
-    def get_models(self) -> List[str]:
-        pass
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> List[str]:
+        """
+        Returns a list of models supported by this provider.
+        """
+        return []
 
     @staticmethod
     @abstractmethod
diff --git a/litellm/llms/gemini/common_utils.py b/litellm/llms/gemini/common_utils.py
new file mode 100644
index 0000000000..7f266c0536
--- /dev/null
+++ b/litellm/llms/gemini/common_utils.py
@@ -0,0 +1,52 @@
+from typing import List, Optional
+
+import litellm
+from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
+from litellm.secret_managers.main import get_secret_str
+
+
+class GeminiModelInfo(BaseLLMModelInfo):
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
+        return (
+            api_base
+            or get_secret_str("GEMINI_API_BASE")
+            or "https://generativelanguage.googleapis.com/v1beta"
+        )
+
+    @staticmethod
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
+        return api_key or (get_secret_str("GEMINI_API_KEY"))
+
+    @staticmethod
+    def get_base_model(model: str) -> Optional[str]:
+        return model.replace("gemini/", "")
+
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> List[str]:
+
+        api_base = GeminiModelInfo.get_api_base(api_base)
+        api_key = GeminiModelInfo.get_api_key(api_key)
+        if api_base is None or api_key is None:
+            raise ValueError(
+                "GEMINI_API_BASE or GEMINI_API_KEY is not set. Please set the environment variable, to query Gemini's `/models` endpoint."
+            )
+
+        response = litellm.module_level_client.get(
+            url=f"{api_base}/models?key={api_key}",
+        )
+
+        if response.status_code != 200:
+            raise ValueError(
+                f"Failed to fetch models from Gemini. Status code: {response.status_code}, Response: {response.json()}"
+            )
+
+        models = response.json()["models"]
+
+        litellm_model_names = []
+        for model in models:
+            stripped_model_name = model["name"].strip("models/")
+            litellm_model_name = "gemini/" + stripped_model_name
+            litellm_model_names.append(litellm_model_name)
+        return litellm_model_names
diff --git a/litellm/llms/topaz/common_utils.py b/litellm/llms/topaz/common_utils.py
index 4ef2315db4..0252585922 100644
--- a/litellm/llms/topaz/common_utils.py
+++ b/litellm/llms/topaz/common_utils.py
@@ -11,7 +11,9 @@ class TopazException(BaseLLMException):
 
 
 class TopazModelInfo(BaseLLMModelInfo):
-    def get_models(self) -> List[str]:
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> List[str]:
         return [
             "topaz/Standard V2",
             "topaz/Low Resolution V2",
diff --git a/litellm/llms/xai/common_utils.py b/litellm/llms/xai/common_utils.py
new file mode 100644
index 0000000000..fdf2edbfa3
--- /dev/null
+++ b/litellm/llms/xai/common_utils.py
@@ -0,0 +1,51 @@
+from typing import Optional
+
+import httpx
+
+import litellm
+from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
+from litellm.secret_managers.main import get_secret_str
+
+
+class XAIModelInfo(BaseLLMModelInfo):
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
+        return api_base or get_secret_str("XAI_API_BASE") or "https://api.x.ai"
+
+    @staticmethod
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
+        return api_key or get_secret_str("XAI_API_KEY")
+
+    @staticmethod
+    def get_base_model(model: str) -> Optional[str]:
+        return model.replace("xai/", "")
+
+    def get_models(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> list[str]:
+        api_base = self.get_api_base(api_base)
+        api_key = self.get_api_key(api_key)
+        if api_base is None or api_key is None:
+            raise ValueError(
+                "XAI_API_BASE or XAI_API_KEY is not set. Please set the environment variable, to query XAI's `/models` endpoint."
+            )
+        response = litellm.module_level_client.get(
+            url=f"{api_base}/v1/models",
+            headers={"Authorization": f"Bearer {api_key}"},
+        )
+
+        try:
+            response.raise_for_status()
+        except httpx.HTTPStatusError:
+            raise Exception(
+                f"Failed to fetch models from XAI. Status code: {response.status_code}, Response: {response.text}"
+            )
+
+        models = response.json()["data"]
+
+        litellm_model_names = []
+        for model in models:
+            stripped_model_name = model["id"]
+            litellm_model_name = "xai/" + stripped_model_name
+            litellm_model_names.append(litellm_model_name)
+        return litellm_model_names
diff --git a/litellm/utils.py b/litellm/utils.py
index 3fcb4a803a..3c8b6667f9 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5744,13 +5744,15 @@ def trim_messages(
         return messages
 
 
-def get_valid_models(check_provider_endpoint: bool = False) -> List[str]:
+def get_valid_models(
+    check_provider_endpoint: bool = False, custom_llm_provider: Optional[str] = None
+) -> List[str]:
     """
     Returns a list of valid LLMs based on the set environment variables
 
     Args:
         check_provider_endpoint: If True, will check the provider's endpoint for valid models.
-
+        custom_llm_provider: If provided, will only check the provider's endpoint for valid models.
     Returns:
         A list of valid LLMs
     """
@@ -5762,6 +5764,9 @@ def get_valid_models(check_provider_endpoint: bool = False) -> List[str]:
         valid_models = []
 
         for provider in litellm.provider_list:
+            if custom_llm_provider and provider != custom_llm_provider:
+                continue
+
             # edge case litellm has together_ai as a provider, it should be togetherai
             env_provider_1 = provider.replace("_", "")
             env_provider_2 = provider
@@ -5783,10 +5788,17 @@ def get_valid_models(check_provider_endpoint: bool = False) -> List[str]:
                 provider=LlmProviders(provider),
             )
 
+            if custom_llm_provider and provider != custom_llm_provider:
+                continue
+
             if provider == "azure":
                 valid_models.append("Azure-LLM")
             elif provider_config is not None and check_provider_endpoint:
-                valid_models.extend(provider_config.get_models())
+                try:
+                    models = provider_config.get_models()
+                    valid_models.extend(models)
+                except Exception as e:
+                    verbose_logger.debug(f"Error getting valid models: {e}")
             else:
                 models_for_provider = litellm.models_by_provider.get(provider, [])
                 valid_models.extend(models_for_provider)
@@ -6400,10 +6412,16 @@ class ProviderConfigManager:
             return litellm.FireworksAIConfig()
         elif LlmProviders.OPENAI == provider:
             return litellm.OpenAIGPTConfig()
+        elif LlmProviders.GEMINI == provider:
+            return litellm.GeminiModelInfo()
         elif LlmProviders.LITELLM_PROXY == provider:
             return litellm.LiteLLMProxyChatConfig()
         elif LlmProviders.TOPAZ == provider:
             return litellm.TopazModelInfo()
+        elif LlmProviders.ANTHROPIC == provider:
+            return litellm.AnthropicModelInfo()
+        elif LlmProviders.XAI == provider:
+            return litellm.XAIModelInfo()
 
         return None
 
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index 535861ce1a..3088fa250f 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -303,6 +303,24 @@ def test_aget_valid_models():
     os.environ = old_environ
 
 
+@pytest.mark.parametrize("custom_llm_provider", ["gemini", "anthropic", "xai"])
+def test_get_valid_models_with_custom_llm_provider(custom_llm_provider):
+    from litellm.utils import ProviderConfigManager
+    from litellm.types.utils import LlmProviders
+
+    provider_config = ProviderConfigManager.get_provider_model_info(
+        model=None,
+        provider=LlmProviders(custom_llm_provider),
+    )
+    assert provider_config is not None
+    valid_models = get_valid_models(
+        check_provider_endpoint=True, custom_llm_provider=custom_llm_provider
+    )
+    print(valid_models)
+    assert len(valid_models) > 0
+    assert provider_config.get_models() == valid_models
+
+
 # test_get_valid_models()
 
 

From 0cb6cb6c6656b53d943644d21c0ee24acf832aec Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 22:54:46 -0700
Subject: [PATCH 139/244] fix schema to work with lock acquisition

---
 litellm/proxy/db/pod_leader_manager.py | 54 +++++++++++++++++---------
 litellm/proxy/schema.prisma            |  7 ++--
 schema.prisma                          |  6 +--
 3 files changed, 42 insertions(+), 25 deletions(-)

diff --git a/litellm/proxy/db/pod_leader_manager.py b/litellm/proxy/db/pod_leader_manager.py
index 73ecd68b1b..c762eabf66 100644
--- a/litellm/proxy/db/pod_leader_manager.py
+++ b/litellm/proxy/db/pod_leader_manager.py
@@ -19,16 +19,19 @@ class PodLockManager:
     Ensures that only one pod can run a cron job at a time.
     """
 
-    def __init__(self, prisma_client: Optional[PrismaClient], cronjob_id: str):
+    def __init__(self, cronjob_id: str):
         self.pod_id = str(uuid.uuid4())
-        self.prisma = prisma_client
         self.cronjob_id = cronjob_id
 
     async def acquire_lock(self) -> bool:
         """
         Attempt to acquire the lock for a specific cron job.
         """
-        if not self.prisma:
+        from litellm.proxy.proxy_server import prisma_client
+
+        verbose_proxy_logger.debug("acquiring lock for cronjob_id=%s", self.cronjob_id)
+        if not prisma_client:
+            verbose_proxy_logger.debug("prisma is None, returning False")
             return False
         try:
             current_time = datetime.now(timezone.utc)
@@ -38,21 +41,24 @@ class PodLockManager:
             )
 
             # Attempt to acquire the lock by upserting the record in the `cronjob_locks` table
-            cronjob_lock = await self.prisma.db.cronJob.upsert(
+            cronjob_lock = await prisma_client.db.cronjob.upsert(
                 where={"cronjob_id": self.cronjob_id},
-                create={
-                    "cronjob_id": self.cronjob_id,
-                    "pod_id": self.pod_id,
-                    "status": "ACTIVE",
-                    "last_updated": current_time,
-                    "ttl": ttl_expiry,
-                },
-                update={
-                    "status": "ACTIVE",
-                    "last_updated": current_time,
-                    "ttl": ttl_expiry,
+                data={
+                    "create": {
+                        "cronjob_id": self.cronjob_id,
+                        "pod_id": self.pod_id,
+                        "status": "ACTIVE",
+                        "last_updated": current_time,
+                        "ttl": ttl_expiry,
+                    },
+                    "update": {
+                        "status": "ACTIVE",
+                        "last_updated": current_time,
+                        "ttl": ttl_expiry,
+                    },
                 },
             )
+            verbose_proxy_logger.debug("cronjob_lock=%s", cronjob_lock)
 
             if cronjob_lock.status == "ACTIVE" and cronjob_lock.pod_id == self.pod_id:
                 verbose_proxy_logger.debug(
@@ -70,16 +76,21 @@ class PodLockManager:
         """
         Renew the lock (update the TTL) for the pod holding the lock.
         """
-        if not self.prisma:
+        from litellm.proxy.proxy_server import prisma_client
+
+        if not prisma_client:
             return False
         try:
+            verbose_proxy_logger.debug(
+                "renewing lock for cronjob_id=%s", self.cronjob_id
+            )
             current_time = datetime.now(timezone.utc)
             # Extend the TTL for another DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
             ttl_expiry = current_time + timedelta(
                 seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
             )
 
-            await self.prisma.db.cronJob.update(
+            await prisma_client.db.cronjob.update(
                 where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
                 data={"ttl": ttl_expiry, "last_updated": current_time},
             )
@@ -95,10 +106,15 @@ class PodLockManager:
         """
         Release the lock and mark the pod as inactive.
         """
-        if not self.prisma:
+        from litellm.proxy.proxy_server import prisma_client
+
+        if not prisma_client:
             return False
         try:
-            await self.prisma.db.cronJob.update(
+            verbose_proxy_logger.debug(
+                "releasing lock for cronjob_id=%s", self.cronjob_id
+            )
+            await prisma_client.db.cronjob.update(
                 where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
                 data={"status": "INACTIVE"},
             )
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 6e4937390a..ccc22f8af1 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -340,10 +340,10 @@ model LiteLLM_DailyUserSpend {
 
 // Track the status of cron jobs running. Only allow one pod to run the job at a time
 model CronJob {
-  id            String   @id @default(cuid()) // Unique ID for the record
-  podId         String   // Unique identifier for the pod acting as the leader
+  cronjob_id            String   @id @default(cuid()) // Unique ID for the record
+  pod_id         String   // Unique identifier for the pod acting as the leader
   status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)
-  lastUpdated   DateTime @default(now()) // Timestamp for the last update of the cron job record
+  last_updated   DateTime @default(now()) // Timestamp for the last update of the cron job record
   ttl           DateTime // Time when the leader's lease expires
 }
 
@@ -352,3 +352,4 @@ enum JobStatus {
   INACTIVE
 }
 
+
diff --git a/schema.prisma b/schema.prisma
index 5d1535d2ff..d0de6e2e27 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -339,10 +339,10 @@ model LiteLLM_DailyUserSpend {
 
 // Track the status of cron jobs running. Only allow one pod to run the job at a time
 model CronJob {
-  id            String   @id @default(cuid()) // Unique ID for the record
-  podId         String   // Unique identifier for the pod acting as the leader
+  cronjob_id            String   @id @default(cuid()) // Unique ID for the record
+  pod_id         String   // Unique identifier for the pod acting as the leader
   status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)
-  lastUpdated   DateTime @default(now()) // Timestamp for the last update of the cron job record
+  last_updated   DateTime @default(now()) // Timestamp for the last update of the cron job record
   ttl           DateTime // Time when the leader's lease expires
 }
 

From 666cd8d4e336d4a625bcb4fd68e0c6ebe7f07bd5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 22:55:36 -0700
Subject: [PATCH 140/244] handle commit updates to the DB

---
 litellm/proxy/db/db_spend_update_writer.py | 59 +++++++++++++---------
 litellm/proxy/db/redis_update_buffer.py    | 12 ++---
 2 files changed, 42 insertions(+), 29 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 7184262ee5..eee598f79a 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -47,14 +47,9 @@ class DBSpendUpdateWriter:
         self,
         redis_cache: Optional[RedisCache] = None,
     ):
-        from litellm.proxy.proxy_server import prisma_client
-
         self.redis_cache = redis_cache
         self.redis_update_buffer = RedisUpdateBuffer(redis_cache=self.redis_cache)
-        self.pod_leader_manager = PodLockManager(
-            cronjob_id=DB_SPEND_UPDATE_JOB_NAME,
-            prisma_client=prisma_client,
-        )
+        self.pod_leader_manager = PodLockManager(cronjob_id=DB_SPEND_UPDATE_JOB_NAME)
 
     @staticmethod
     async def update_database(
@@ -411,17 +406,23 @@ class DBSpendUpdateWriter:
 
             # Only commit from redis to db if this pod is the leader
             if await self.pod_leader_manager.acquire_lock():
-                db_spend_update_transactions = (
-                    await self.redis_update_buffer.get_all_update_transactions_from_redis()
-                )
-                if db_spend_update_transactions is not None:
-                    await DBSpendUpdateWriter._commit_spend_updates_to_db(
-                        prisma_client=prisma_client,
-                        n_retry_times=n_retry_times,
-                        proxy_logging_obj=proxy_logging_obj,
-                        db_spend_update_transactions=db_spend_update_transactions,
+                verbose_proxy_logger.debug("acquired lock for spend updates")
+
+                try:
+                    db_spend_update_transactions = (
+                        await self.redis_update_buffer.get_all_update_transactions_from_redis()
                     )
-                await self.pod_leader_manager.release_lock()
+                    if db_spend_update_transactions is not None:
+                        await DBSpendUpdateWriter._commit_spend_updates_to_db(
+                            prisma_client=prisma_client,
+                            n_retry_times=n_retry_times,
+                            proxy_logging_obj=proxy_logging_obj,
+                            db_spend_update_transactions=db_spend_update_transactions,
+                        )
+                except Exception as e:
+                    verbose_proxy_logger.error(f"Error committing spend updates: {e}")
+                finally:
+                    await self.pod_leader_manager.release_lock()
         else:
             db_spend_update_transactions = DBSpendUpdateTransactions(
                 user_list_transactions=prisma_client.user_list_transactions,
@@ -456,7 +457,10 @@ class DBSpendUpdateWriter:
 
         ### UPDATE USER TABLE ###
         user_list_transactions = db_spend_update_transactions["user_list_transactions"]
-        if len(user_list_transactions.keys()) > 0:
+        if (
+            user_list_transactions is not None
+            and len(user_list_transactions.keys()) > 0
+        ):
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -501,7 +505,10 @@ class DBSpendUpdateWriter:
         end_user_list_transactions = db_spend_update_transactions[
             "end_user_list_transactions"
         ]
-        if len(end_user_list_transactions.keys()) > 0:
+        if (
+            end_user_list_transactions is not None
+            and len(end_user_list_transactions.keys()) > 0
+        ):
             await ProxyUpdateSpend.update_end_user_spend(
                 n_retry_times=n_retry_times,
                 prisma_client=prisma_client,
@@ -510,9 +517,9 @@ class DBSpendUpdateWriter:
         ### UPDATE KEY TABLE ###
         key_list_transactions = db_spend_update_transactions["key_list_transactions"]
         verbose_proxy_logger.debug(
-            "KEY Spend transactions: {}".format(len(key_list_transactions.keys()))
+            "KEY Spend transactions: {}".format(key_list_transactions)
         )
-        if len(key_list_transactions.keys()) > 0:
+        if key_list_transactions is not None and len(key_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -555,7 +562,10 @@ class DBSpendUpdateWriter:
             )
         )
         team_list_transactions = db_spend_update_transactions["team_list_transactions"]
-        if len(team_list_transactions.keys()) > 0:
+        if (
+            team_list_transactions is not None
+            and len(team_list_transactions.keys()) > 0
+        ):
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -600,7 +610,10 @@ class DBSpendUpdateWriter:
         team_member_list_transactions = db_spend_update_transactions[
             "team_member_list_transactions"
         ]
-        if len(team_member_list_transactions.keys()) > 0:
+        if (
+            team_member_list_transactions is not None
+            and len(team_member_list_transactions.keys()) > 0
+        ):
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
@@ -642,7 +655,7 @@ class DBSpendUpdateWriter:
 
         ### UPDATE ORG TABLE ###
         org_list_transactions = db_spend_update_transactions["org_list_transactions"]
-        if len(org_list_transactions.keys()) > 0:
+        if org_list_transactions is not None and len(org_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()
                 try:
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 22afc56483..94cd1e47c7 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -17,12 +17,12 @@ else:
 
 
 class DBSpendUpdateTransactions(TypedDict):
-    user_list_transactions: Dict[str, float]
-    end_user_list_transactions: Dict[str, float]
-    key_list_transactions: Dict[str, float]
-    team_list_transactions: Dict[str, float]
-    team_member_list_transactions: Dict[str, float]
-    org_list_transactions: Dict[str, float]
+    user_list_transactions: Optional[Dict[str, float]]
+    end_user_list_transactions: Optional[Dict[str, float]]
+    key_list_transactions: Optional[Dict[str, float]]
+    team_list_transactions: Optional[Dict[str, float]]
+    team_member_list_transactions: Optional[Dict[str, float]]
+    org_list_transactions: Optional[Dict[str, float]]
 
 
 class RedisUpdateBuffer:

From 5203382702d2a4e9ca552d2f5acc19145404a451 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 23:08:52 -0700
Subject: [PATCH 141/244] test: run test earlier to catch error

---
 tests/test_end_users.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_end_users.py b/tests/test_end_users.py
index fdff3e15bf..0ce1694147 100644
--- a/tests/test_end_users.py
+++ b/tests/test_end_users.py
@@ -160,7 +160,7 @@ async def test_end_user_new():
 
 
 @pytest.mark.asyncio
-async def test_end_user_specific_region():
+async def test_aaaend_user_specific_region():
     """
     - Specify region user can make calls in
     - Make a generic call

From 1ba73f491a2b07eb0a92be6d97848c1c2f723bca Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 23:13:01 -0700
Subject: [PATCH 142/244] working cron job updates

---
 litellm/constants.py                    |  2 +-
 litellm/proxy/db/pod_leader_manager.py  |  6 +-
 litellm/proxy/db/redis_update_buffer.py | 90 +++++++++++++++++++------
 litellm/proxy/schema.prisma             |  2 +-
 schema.prisma                           |  2 +-
 5 files changed, 77 insertions(+), 25 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 0d5a9dcddf..1276c08fae 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -444,4 +444,4 @@ LITELLM_PROXY_ADMIN_NAME = "default_user_id"
 
 ########################### DB CRON JOB NAMES ###########################
 DB_SPEND_UPDATE_JOB_NAME = "db_spend_update_job"
-DEFAULT_CRON_JOB_LOCK_TTL_SECONDS = 600  # 5 minutes
+DEFAULT_CRON_JOB_LOCK_TTL_SECONDS = 60  # 1 minute
diff --git a/litellm/proxy/db/pod_leader_manager.py b/litellm/proxy/db/pod_leader_manager.py
index c762eabf66..9c055e96f6 100644
--- a/litellm/proxy/db/pod_leader_manager.py
+++ b/litellm/proxy/db/pod_leader_manager.py
@@ -41,7 +41,7 @@ class PodLockManager:
             )
 
             # Attempt to acquire the lock by upserting the record in the `cronjob_locks` table
-            cronjob_lock = await prisma_client.db.cronjob.upsert(
+            cronjob_lock = await prisma_client.db.litellm_cronjob.upsert(
                 where={"cronjob_id": self.cronjob_id},
                 data={
                     "create": {
@@ -90,7 +90,7 @@ class PodLockManager:
                 seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
             )
 
-            await prisma_client.db.cronjob.update(
+            await prisma_client.db.litellm_cronjob.update(
                 where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
                 data={"ttl": ttl_expiry, "last_updated": current_time},
             )
@@ -114,7 +114,7 @@ class PodLockManager:
             verbose_proxy_logger.debug(
                 "releasing lock for cronjob_id=%s", self.cronjob_id
             )
-            await prisma_client.db.cronjob.update(
+            await prisma_client.db.litellm_cronjob.update(
                 where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
                 data={"status": "INACTIVE"},
             )
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 94cd1e47c7..2207911024 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -111,6 +111,13 @@ class RedisUpdateBuffer:
                 value=transaction_amount,
             )
 
+    @staticmethod
+    def _remove_prefix_from_keys(data: Dict[str, Any], prefix: str) -> Dict[str, Any]:
+        """
+        Removes the specified prefix from the keys of a dictionary.
+        """
+        return {key.replace(prefix, "", 1): value for key, value in data.items()}
+
     async def get_all_update_transactions_from_redis(
         self,
     ) -> Optional[DBSpendUpdateTransactions]:
@@ -119,24 +126,69 @@ class RedisUpdateBuffer:
         """
         if self.redis_cache is None:
             return None
-        expected_keys = [
-            "user_list_transactions",
-            "end_user_list_transactions",
-            "key_list_transactions",
-            "team_list_transactions",
-            "team_member_list_transactions",
-            "org_list_transactions",
-        ]
-        result = await self.redis_cache.async_batch_get_cache(expected_keys)
-        if result is None:
-            return None
+        user_transaction_keys = await self.redis_cache.async_scan_iter(
+            "user_list_transactions:*"
+        )
+        end_user_transaction_keys = await self.redis_cache.async_scan_iter(
+            "end_user_list_transactions:*"
+        )
+        key_transaction_keys = await self.redis_cache.async_scan_iter(
+            "key_list_transactions:*"
+        )
+        team_transaction_keys = await self.redis_cache.async_scan_iter(
+            "team_list_transactions:*"
+        )
+        team_member_transaction_keys = await self.redis_cache.async_scan_iter(
+            "team_member_list_transactions:*"
+        )
+        org_transaction_keys = await self.redis_cache.async_scan_iter(
+            "org_list_transactions:*"
+        )
+
+        user_list_transactions = await self.redis_cache.async_batch_get_cache(
+            user_transaction_keys
+        )
+        end_user_list_transactions = await self.redis_cache.async_batch_get_cache(
+            end_user_transaction_keys
+        )
+        key_list_transactions = await self.redis_cache.async_batch_get_cache(
+            key_transaction_keys
+        )
+        team_list_transactions = await self.redis_cache.async_batch_get_cache(
+            team_transaction_keys
+        )
+        team_member_list_transactions = await self.redis_cache.async_batch_get_cache(
+            team_member_transaction_keys
+        )
+        org_list_transactions = await self.redis_cache.async_batch_get_cache(
+            org_transaction_keys
+        )
+
+        # filter out the "prefix" from the keys using the helper method
+        user_list_transactions = self._remove_prefix_from_keys(
+            user_list_transactions, "user_list_transactions:"
+        )
+        end_user_list_transactions = self._remove_prefix_from_keys(
+            end_user_list_transactions, "end_user_list_transactions:"
+        )
+        key_list_transactions = self._remove_prefix_from_keys(
+            key_list_transactions, "key_list_transactions:"
+        )
+        team_list_transactions = self._remove_prefix_from_keys(
+            team_list_transactions, "team_list_transactions:"
+        )
+        team_member_list_transactions = self._remove_prefix_from_keys(
+            team_member_list_transactions, "team_member_list_transactions:"
+        )
+        org_list_transactions = self._remove_prefix_from_keys(
+            org_list_transactions, "org_list_transactions:"
+        )
+
         return DBSpendUpdateTransactions(
-            user_list_transactions=result.get("user_list_transactions", {}),
-            end_user_list_transactions=result.get("end_user_list_transactions", {}),
-            key_list_transactions=result.get("key_list_transactions", {}),
-            team_list_transactions=result.get("team_list_transactions", {}),
-            team_member_list_transactions=result.get(
-                "team_member_list_transactions", {}
-            ),
-            org_list_transactions=result.get("org_list_transactions", {}),
+            user_list_transactions=user_list_transactions,
+            end_user_list_transactions=end_user_list_transactions,
+            key_list_transactions=key_list_transactions,
+            team_list_transactions=team_list_transactions,
+            team_member_list_transactions=team_member_list_transactions,
+            org_list_transactions=org_list_transactions,
         )
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index ccc22f8af1..ae7560ead3 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -339,7 +339,7 @@ model LiteLLM_DailyUserSpend {
 
 
 // Track the status of cron jobs running. Only allow one pod to run the job at a time
-model CronJob {
+model LiteLLM_CronJob {
   cronjob_id            String   @id @default(cuid()) // Unique ID for the record
   pod_id         String   // Unique identifier for the pod acting as the leader
   status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)
diff --git a/schema.prisma b/schema.prisma
index d0de6e2e27..ad46f96f6d 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -338,7 +338,7 @@ model LiteLLM_DailyUserSpend {
 
 
 // Track the status of cron jobs running. Only allow one pod to run the job at a time
-model CronJob {
+model LiteLLM_CronJob {
   cronjob_id            String   @id @default(cuid()) // Unique ID for the record
   pod_id         String   // Unique identifier for the pod acting as the leader
   status        JobStatus @default(INACTIVE) // Status of the cron job (active or inactive)

From b155f4f4a6c1c2579cb4f38d3d84e311dabee487 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 23:25:46 -0700
Subject: [PATCH 143/244] fix(proxy_server.py): Fix
 https://github.com/BerriAI/litellm/issues/9576

---
 litellm/proxy/proxy_server.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 87f34a8984..832ba00b3e 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -511,7 +511,7 @@ async def proxy_startup_event(app: FastAPI):
 
     ### LOAD MASTER KEY ###
     # check if master key set in environment - load from there
-    master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
+    # master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
     # check if DATABASE_URL in environment - load from there
     if prisma_client is None:
         _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore
@@ -1974,6 +1974,7 @@ class ProxyConfig:
 
             if master_key and master_key.startswith("os.environ/"):
                 master_key = get_secret(master_key)  # type: ignore
+
                 if not isinstance(master_key, str):
                     raise Exception(
                         "Master key must be a string. Current type - {}".format(

From cdcc8ea9b7ef5d7dcaa1b7c1e1da4cb8b08d5723 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 23:29:15 -0700
Subject: [PATCH 144/244] Connect UI to "LiteLLM_DailyUserSpend" spend table -
 enables usage tab to work at 1m+ spend logs (#9603)

* feat(spend_management_endpoints.py): expose new endpoint for querying user's usage at 1m+ spend logs

Allows user to view their spend at 1m+ spend logs

* build(schema.prisma): add api_requests to dailyuserspend table

* build(migration.sql): add migration file for new column to daily user spend table

* build(prisma_client.py): add logic for copying over migration folder, if deploy/migrations present in expected location

enables easier testing of prisma migration flow

* build(ui/): initial commit successfully using the dailyuserspend table on the UI

* refactor(internal_user_endpoints.py): refactor `/user/daily/activity` to give breakdowns by provider/model/key

* feat: feature parity (cost page) with existing 'usage' page

* build(ui/): add activity tab to new_usage.tsx

gets to feature parity on 'All Up' page of 'usage.tsx'

* fix(proxy/utils.py): count number of api requests in daily user spend table

allows us to see activity by model on new usage tab

* style(new_usage.tsx): fix y-axis to be in ascending order of date

* fix: fix linting errors

* fix: fix ruff check errors
---
 ci_cd/baseline_db.py                          |   1 -
 .../migration.sql                             |   3 +
 litellm/proxy/_types.py                       |   1 +
 litellm/proxy/db/prisma_client.py             |  94 +++-
 .../internal_user_endpoints.py                | 293 ++++++++++-
 litellm/proxy/schema.prisma                   |  10 +-
 .../spend_management_endpoints.py             |   2 +-
 litellm/proxy/utils.py                        |   6 +
 schema.prisma                                 |   1 +
 ui/litellm-dashboard/src/app/page.tsx         |  10 +-
 .../src/components/leftnav.tsx                |   1 +
 .../src/components/networking.tsx             |  36 ++
 .../src/components/new_usage.tsx              | 471 ++++++++++++++++++
 ui/litellm-dashboard/src/components/usage.tsx |   2 +-
 14 files changed, 909 insertions(+), 22 deletions(-)
 create mode 100644 deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
 create mode 100644 ui/litellm-dashboard/src/components/new_usage.tsx

diff --git a/ci_cd/baseline_db.py b/ci_cd/baseline_db.py
index 52aa5430f5..ecc080abed 100644
--- a/ci_cd/baseline_db.py
+++ b/ci_cd/baseline_db.py
@@ -1,4 +1,3 @@
-import os
 import subprocess
 from pathlib import Path
 from datetime import datetime
diff --git a/deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql b/deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
new file mode 100644
index 0000000000..e7c5ab566a
--- /dev/null
+++ b/deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
@@ -0,0 +1,3 @@
+-- AlterTable
+ALTER TABLE "LiteLLM_DailyUserSpend" ADD COLUMN     "api_requests" INTEGER NOT NULL DEFAULT 0;
+
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 6e242ddacb..3c22aaa601 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2718,3 +2718,4 @@ class DailyUserSpendTransaction(TypedDict):
     prompt_tokens: int
     completion_tokens: int
     spend: float
+    api_requests: int
diff --git a/litellm/proxy/db/prisma_client.py b/litellm/proxy/db/prisma_client.py
index 85a3a57adc..4e38321e91 100644
--- a/litellm/proxy/db/prisma_client.py
+++ b/litellm/proxy/db/prisma_client.py
@@ -3,6 +3,7 @@ This file contains the PrismaWrapper class, which is used to wrap the Prisma cli
 """
 
 import asyncio
+import glob
 import os
 import random
 import subprocess
@@ -178,6 +179,69 @@ class PrismaManager:
             verbose_proxy_logger.warning(f"Error creating baseline migration: {e}")
             return False
 
+    @staticmethod
+    def _copy_spend_tracking_migrations(prisma_dir: str) -> bool:
+        import shutil
+        from pathlib import Path
+
+        """
+        Check for and copy over spend tracking migrations if they exist in the deploy directory.
+        Returns True if migrations were found and copied, False otherwise.
+        """
+        try:
+            # Get the current file's directory
+            current_dir = Path(__file__).parent
+
+            # Check for migrations in the deploy directory (../../deploy/migrations)
+            deploy_migrations_dir = (
+                current_dir.parent.parent.parent / "deploy" / "migrations"
+            )
+
+            # Local migrations directory
+            local_migrations_dir = Path(prisma_dir + "/migrations")
+
+            if deploy_migrations_dir.exists():
+                # Create local migrations directory if it doesn't exist
+                local_migrations_dir.mkdir(parents=True, exist_ok=True)
+
+                # Copy all migration files
+                # Copy entire migrations folder recursively
+                shutil.copytree(
+                    deploy_migrations_dir, local_migrations_dir, dirs_exist_ok=True
+                )
+
+                return True
+            return False
+        except Exception:
+            return False
+
+    @staticmethod
+    def _get_migration_names(migrations_dir: str) -> list:
+        """Get all migration directory names from the migrations folder"""
+        migration_paths = glob.glob(f"{migrations_dir}/*/migration.sql")
+        return [Path(p).parent.name for p in migration_paths]
+
+    @staticmethod
+    def _resolve_all_migrations(migrations_dir: str):
+        """Mark all existing migrations as applied"""
+        migration_names = PrismaManager._get_migration_names(migrations_dir)
+        for migration_name in migration_names:
+            try:
+                verbose_proxy_logger.info(f"Resolving migration: {migration_name}")
+                subprocess.run(
+                    ["prisma", "migrate", "resolve", "--applied", migration_name],
+                    timeout=60,
+                    check=True,
+                    capture_output=True,
+                    text=True,
+                )
+                verbose_proxy_logger.debug(f"Resolved migration: {migration_name}")
+            except subprocess.CalledProcessError as e:
+                if "is already recorded as applied in the database." not in e.stderr:
+                    verbose_proxy_logger.warning(
+                        f"Failed to resolve migration {migration_name}: {e.stderr}"
+                    )
+
     @staticmethod
     def setup_database(use_migrate: bool = False) -> bool:
         """
@@ -194,8 +258,10 @@ class PrismaManager:
             os.chdir(prisma_dir)
             try:
                 if use_migrate:
+                    PrismaManager._copy_spend_tracking_migrations(
+                        prisma_dir
+                    )  # place a migration in the migrations directory
                     verbose_proxy_logger.info("Running prisma migrate deploy")
-                    # First try to run migrate deploy directly
                     try:
                         subprocess.run(
                             ["prisma", "migrate", "deploy"],
@@ -205,25 +271,31 @@ class PrismaManager:
                             text=True,
                         )
                         verbose_proxy_logger.info("prisma migrate deploy completed")
+
+                        # Resolve all migrations in the migrations directory
+                        migrations_dir = os.path.join(prisma_dir, "migrations")
+                        PrismaManager._resolve_all_migrations(migrations_dir)
+
                         return True
                     except subprocess.CalledProcessError as e:
-                        # Check if this is the non-empty schema error
+                        verbose_proxy_logger.warning(
+                            f"prisma db error: {e.stderr}, e: {e.stdout}"
+                        )
                         if (
                             "P3005" in e.stderr
                             and "database schema is not empty" in e.stderr
                         ):
-                            # Create baseline migration
+                            verbose_proxy_logger.info("Creating baseline migration")
                             if PrismaManager._create_baseline_migration(schema_path):
-                                # Try migrate deploy again after baseline
-                                subprocess.run(
-                                    ["prisma", "migrate", "deploy"],
-                                    timeout=60,
-                                    check=True,
+                                verbose_proxy_logger.info(
+                                    "Resolving all migrations after baseline"
                                 )
+
+                                # Resolve all migrations after baseline
+                                migrations_dir = os.path.join(prisma_dir, "migrations")
+                                PrismaManager._resolve_all_migrations(migrations_dir)
+
                                 return True
-                        else:
-                            # If it's a different error, raise it
-                            raise e
                 else:
                     # Use prisma db push with increased timeout
                     subprocess.run(
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index e9be169cdc..79de6da1fd 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -14,8 +14,9 @@ These are members of a Team on LiteLLM
 import asyncio
 import traceback
 import uuid
-from datetime import datetime, timedelta, timezone
-from typing import Any, List, Optional, Union, cast
+from datetime import date, datetime, timedelta, timezone
+from enum import Enum
+from typing import Any, Dict, List, Optional, TypedDict, Union, cast
 
 import fastapi
 from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
@@ -1242,3 +1243,291 @@ async def ui_view_users(
     except Exception as e:
         verbose_proxy_logger.exception(f"Error searching users: {str(e)}")
         raise HTTPException(status_code=500, detail=f"Error searching users: {str(e)}")
+
+
+class GroupByDimension(str, Enum):
+    DATE = "date"
+    MODEL = "model"
+    API_KEY = "api_key"
+    TEAM = "team"
+    ORGANIZATION = "organization"
+    MODEL_GROUP = "model_group"
+    PROVIDER = "custom_llm_provider"
+
+
+class SpendMetrics(BaseModel):
+    spend: float = Field(default=0.0)
+    prompt_tokens: int = Field(default=0)
+    completion_tokens: int = Field(default=0)
+    total_tokens: int = Field(default=0)
+    api_requests: int = Field(default=0)
+
+
+class BreakdownMetrics(BaseModel):
+    """Breakdown of spend by different dimensions"""
+
+    models: Dict[str, SpendMetrics] = Field(default_factory=dict)  # model -> metrics
+    providers: Dict[str, SpendMetrics] = Field(
+        default_factory=dict
+    )  # provider -> metrics
+    api_keys: Dict[str, SpendMetrics] = Field(
+        default_factory=dict
+    )  # api_key -> metrics
+
+
+class DailySpendData(BaseModel):
+    date: date
+    metrics: SpendMetrics
+    breakdown: BreakdownMetrics = Field(default_factory=BreakdownMetrics)
+
+
+class DailySpendMetadata(BaseModel):
+    total_spend: float = Field(default=0.0)
+    total_prompt_tokens: int = Field(default=0)
+    total_completion_tokens: int = Field(default=0)
+    total_api_requests: int = Field(default=0)
+    page: int = Field(default=1)
+    total_pages: int = Field(default=1)
+    has_more: bool = Field(default=False)
+
+
+class SpendAnalyticsPaginatedResponse(BaseModel):
+    results: List[DailySpendData]
+    metadata: DailySpendMetadata = Field(default_factory=DailySpendMetadata)
+
+
+class LiteLLM_DailyUserSpend(BaseModel):
+    id: str
+    user_id: str
+    date: str
+    api_key: str
+    model: str
+    model_group: Optional[str] = None
+    custom_llm_provider: Optional[str] = None
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    spend: float = 0.0
+    api_requests: int = 0
+
+
+class GroupedData(TypedDict):
+    metrics: SpendMetrics
+    breakdown: BreakdownMetrics
+
+
+def update_metrics(
+    group_metrics: SpendMetrics, record: LiteLLM_DailyUserSpend
+) -> SpendMetrics:
+    group_metrics.spend += record.spend
+    group_metrics.prompt_tokens += record.prompt_tokens
+    group_metrics.completion_tokens += record.completion_tokens
+    group_metrics.total_tokens += record.prompt_tokens + record.completion_tokens
+    group_metrics.api_requests += record.api_requests
+    return group_metrics
+
+
+def update_breakdown_metrics(
+    breakdown: BreakdownMetrics, record: LiteLLM_DailyUserSpend
+) -> BreakdownMetrics:
+    """Updates breakdown metrics for a single record using the existing update_metrics function"""
+
+    # Update model breakdown
+    if record.model not in breakdown.models:
+        breakdown.models[record.model] = SpendMetrics()
+    breakdown.models[record.model] = update_metrics(
+        breakdown.models[record.model], record
+    )
+
+    # Update provider breakdown
+    provider = record.custom_llm_provider or "unknown"
+    if provider not in breakdown.providers:
+        breakdown.providers[provider] = SpendMetrics()
+    breakdown.providers[provider] = update_metrics(
+        breakdown.providers[provider], record
+    )
+
+    # Update api key breakdown
+    if record.api_key not in breakdown.api_keys:
+        breakdown.api_keys[record.api_key] = SpendMetrics()
+    breakdown.api_keys[record.api_key] = update_metrics(
+        breakdown.api_keys[record.api_key], record
+    )
+
+    return breakdown
+
+
+@router.get(
+    "/user/daily/activity",
+    tags=["Budget & Spend Tracking", "Internal User management"],
+    dependencies=[Depends(user_api_key_auth)],
+    response_model=SpendAnalyticsPaginatedResponse,
+)
+async def get_user_daily_activity(
+    start_date: Optional[str] = fastapi.Query(
+        default=None,
+        description="Start date in YYYY-MM-DD format",
+    ),
+    end_date: Optional[str] = fastapi.Query(
+        default=None,
+        description="End date in YYYY-MM-DD format",
+    ),
+    group_by: List[GroupByDimension] = fastapi.Query(
+        default=[GroupByDimension.DATE],
+        description="Dimensions to group by. Can combine multiple (e.g. date,team)",
+    ),
+    view_by: Literal["team", "organization", "user"] = fastapi.Query(
+        default="user",
+        description="View spend at team/org/user level",
+    ),
+    team_id: Optional[str] = fastapi.Query(
+        default=None,
+        description="Filter by specific team",
+    ),
+    org_id: Optional[str] = fastapi.Query(
+        default=None,
+        description="Filter by specific organization",
+    ),
+    model: Optional[str] = fastapi.Query(
+        default=None,
+        description="Filter by specific model",
+    ),
+    api_key: Optional[str] = fastapi.Query(
+        default=None,
+        description="Filter by specific API key",
+    ),
+    page: int = fastapi.Query(
+        default=1, description="Page number for pagination", ge=1
+    ),
+    page_size: int = fastapi.Query(
+        default=50, description="Items per page", ge=1, le=100
+    ),
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+) -> SpendAnalyticsPaginatedResponse:
+    """
+    [BETA] This is a beta endpoint. It will change.
+
+    Meant to optimize querying spend data for analytics for a user.
+
+    Returns:
+    (by date/team/org/user/model/api_key/model_group/provider)
+    - spend
+    - prompt_tokens
+    - completion_tokens
+    - total_tokens
+    - api_requests
+    - breakdown by team, organization, user, model, api_key, model_group, provider
+    """
+    from litellm.proxy.proxy_server import prisma_client
+
+    if prisma_client is None:
+        raise HTTPException(
+            status_code=500,
+            detail={"error": CommonProxyErrors.db_not_connected_error.value},
+        )
+
+    if start_date is None or end_date is None:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail={"error": "Please provide start_date and end_date"},
+        )
+
+    try:
+        # Build filter conditions
+        where_conditions: Dict[str, Any] = {
+            "date": {
+                "gte": start_date,
+                "lte": end_date,
+            }
+        }
+
+        if team_id:
+            where_conditions["team_id"] = team_id
+        if org_id:
+            where_conditions["organization_id"] = org_id
+        if model:
+            where_conditions["model"] = model
+        if api_key:
+            where_conditions["api_key"] = api_key
+
+        # Get total count for pagination
+        total_count = await prisma_client.db.litellm_dailyuserspend.count(
+            where=where_conditions
+        )
+
+        # Fetch paginated results
+        daily_spend_data = await prisma_client.db.litellm_dailyuserspend.find_many(
+            where=where_conditions,
+            order=[
+                {"date": "desc"},
+            ],
+            skip=(page - 1) * page_size,
+            take=page_size,
+        )
+
+        # Process results
+        results = []
+        total_metrics = SpendMetrics()
+
+        # Group data by date and other dimensions
+
+        grouped_data: Dict[str, Dict[str, Any]] = {}
+        for record in daily_spend_data:
+            date_str = record.date
+            if date_str not in grouped_data:
+                grouped_data[date_str] = {
+                    "metrics": SpendMetrics(),
+                    "breakdown": BreakdownMetrics(),
+                }
+
+            # Update metrics
+            grouped_data[date_str]["metrics"] = update_metrics(
+                grouped_data[date_str]["metrics"], record
+            )
+            # Update breakdowns
+            grouped_data[date_str]["breakdown"] = update_breakdown_metrics(
+                grouped_data[date_str]["breakdown"], record
+            )
+
+            # Update total metrics
+            total_metrics.spend += record.spend
+            total_metrics.prompt_tokens += record.prompt_tokens
+            total_metrics.completion_tokens += record.completion_tokens
+            total_metrics.total_tokens += (
+                record.prompt_tokens + record.completion_tokens
+            )
+            total_metrics.api_requests += 1
+
+        # Convert grouped data to response format
+        for date_str, data in grouped_data.items():
+            results.append(
+                DailySpendData(
+                    date=datetime.strptime(date_str, "%Y-%m-%d").date(),
+                    metrics=data["metrics"],
+                    breakdown=data["breakdown"],
+                )
+            )
+
+        # Sort results by date
+        results.sort(key=lambda x: x.date, reverse=True)
+
+        return SpendAnalyticsPaginatedResponse(
+            results=results,
+            metadata=DailySpendMetadata(
+                total_spend=total_metrics.spend,
+                total_prompt_tokens=total_metrics.prompt_tokens,
+                total_completion_tokens=total_metrics.completion_tokens,
+                total_api_requests=total_metrics.api_requests,
+                page=page,
+                total_pages=-(-total_count // page_size),  # Ceiling division
+                has_more=(page * page_size) < total_count,
+            ),
+        )
+
+    except Exception as e:
+        verbose_proxy_logger.exception(
+            "/spend/daily/analytics: Exception occured - {}".format(str(e))
+        )
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail={"error": f"Failed to fetch analytics: {str(e)}"},
+        )
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 9269e89014..7acb5e2615 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -314,19 +314,19 @@ model LiteLLM_AuditLog {
   updated_values     Json?       // value of the row after change
 }
 
-
 // Track daily user spend metrics per model and key
 model LiteLLM_DailyUserSpend {
   id                  String   @id @default(uuid())
   user_id             String
   date                String
-  api_key             String   // Hashed API Token
-  model               String   // The specific model used
-  model_group         String?  // public model_name / model_group
-  custom_llm_provider String?  // The LLM provider (e.g., "openai", "anthropic")
+  api_key             String   
+  model               String   
+  model_group         String?  
+  custom_llm_provider String?  
   prompt_tokens       Int      @default(0)
   completion_tokens   Int      @default(0)
   spend               Float    @default(0.0)
+  api_requests        Int      @default(0)
   created_at          DateTime @default(now())
   updated_at          DateTime @updatedAt
 
diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py
index 9789e2a0ec..4c0e22aef7 100644
--- a/litellm/proxy/spend_tracking/spend_management_endpoints.py
+++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py
@@ -3,7 +3,7 @@ import collections
 import os
 from datetime import datetime, timedelta, timezone
 from functools import lru_cache
-from typing import TYPE_CHECKING, Any, List, Optional
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional
 
 import fastapi
 from fastapi import APIRouter, Depends, HTTPException, status
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 7f1ac814a8..1c4e625781 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1179,6 +1179,7 @@ class PrismaClient:
                 daily_transaction["spend"] += payload["spend"]
                 daily_transaction["prompt_tokens"] += payload["prompt_tokens"]
                 daily_transaction["completion_tokens"] += payload["completion_tokens"]
+                daily_transaction["api_requests"] += 1
             else:
                 daily_transaction = DailyUserSpendTransaction(
                     user_id=payload["user"],
@@ -1190,6 +1191,7 @@ class PrismaClient:
                     prompt_tokens=payload["prompt_tokens"],
                     completion_tokens=payload["completion_tokens"],
                     spend=payload["spend"],
+                    api_requests=1,
                 )
 
             self.daily_user_spend_transactions[daily_transaction_key] = (
@@ -2598,6 +2600,7 @@ class ProxyUpdateSpend:
                                             "completion_tokens"
                                         ],
                                         "spend": transaction["spend"],
+                                        "api_requests": transaction["api_requests"],
                                     },
                                     "update": {
                                         "prompt_tokens": {
@@ -2609,6 +2612,9 @@ class ProxyUpdateSpend:
                                             ]
                                         },
                                         "spend": {"increment": transaction["spend"]},
+                                        "api_requests": {
+                                            "increment": transaction["api_requests"]
+                                        },
                                     },
                                 },
                             )
diff --git a/schema.prisma b/schema.prisma
index 3312b26354..7acb5e2615 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -326,6 +326,7 @@ model LiteLLM_DailyUserSpend {
   prompt_tokens       Int      @default(0)
   completion_tokens   Int      @default(0)
   spend               Float    @default(0.0)
+  api_requests        Int      @default(0)
   created_at          DateTime @default(now())
   updated_at          DateTime @updatedAt
 
diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index 9b9ec0c9c0..f480501b58 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -20,6 +20,7 @@ import PassThroughSettings from "@/components/pass_through_settings";
 import BudgetPanel from "@/components/budgets/budget_panel";
 import SpendLogsTable from "@/components/view_logs";
 import ModelHub from "@/components/model_hub";
+import NewUsagePage from "@/components/new_usage";
 import APIRef from "@/components/api_ref";
 import ChatUI from "@/components/chat_ui";
 import Sidebar from "@/components/leftnav";
@@ -346,7 +347,14 @@ export default function CreateKeyPage() {
                   accessToken={accessToken}
                   allTeams={teams as Team[] ?? []}
                 />
-              ) : (
+              ) : page == "new_usage" ? (
+                <NewUsagePage
+                  userID={userID}
+                  userRole={userRole}
+                  accessToken={accessToken}
+                />
+              ) : 
+              (
                 <Usage
                   userID={userID}
                   userRole={userRole}
diff --git a/ui/litellm-dashboard/src/components/leftnav.tsx b/ui/litellm-dashboard/src/components/leftnav.tsx
index 1dc2d089b4..3713a40cdc 100644
--- a/ui/litellm-dashboard/src/components/leftnav.tsx
+++ b/ui/litellm-dashboard/src/components/leftnav.tsx
@@ -68,6 +68,7 @@ const menuItems: MenuItem[] = [
       { key: "9", page: "caching", label: "Caching", icon: <DatabaseOutlined />, roles: all_admin_roles },
       { key: "10", page: "budgets", label: "Budgets", icon: <BankOutlined />, roles: all_admin_roles },
       { key: "11", page: "guardrails", label: "Guardrails", icon: <SafetyOutlined />, roles: all_admin_roles },
+      { key: "12", page: "new_usage", label: "New Usage", icon: <BarChartOutlined />, roles: all_admin_roles },
     ]
   },
   {
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index fbe0374e34..83d258e532 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -1070,6 +1070,42 @@ export const organizationDeleteCall = async (
   }
 };
 
+
+export const userDailyActivityCall = async (accessToken: String, startTime: Date, endTime: Date) => {
+  /**
+   * Get daily user activity on proxy
+   */
+  try {
+    let url = proxyBaseUrl ? `${proxyBaseUrl}/user/daily/activity` : `/user/daily/activity`;
+    const queryParams = new URLSearchParams();
+    queryParams.append('start_date', startTime.toISOString());
+    queryParams.append('end_date', endTime.toISOString());
+    const queryString = queryParams.toString();
+    if (queryString) {
+      url += `?${queryString}`;
+    }
+
+    const response = await fetch(url, {
+      method: "GET",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      const errorData = await response.text();
+      handleError(errorData);
+      throw new Error("Network response was not ok");
+    }
+
+    const data = await response.json();
+    return data;
+  } catch (error) {
+    console.error("Failed to create key:", error);
+    throw error;
+  }
+};
 export const getTotalSpendCall = async (accessToken: String) => {
   /**
    * Get all models on proxy
diff --git a/ui/litellm-dashboard/src/components/new_usage.tsx b/ui/litellm-dashboard/src/components/new_usage.tsx
new file mode 100644
index 0000000000..e472fc69ef
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/new_usage.tsx
@@ -0,0 +1,471 @@
+/**
+ * New Usage Page
+ * 
+ * Uses the new `/user/daily/activity` endpoint to get daily activity data for a user.
+ * 
+ * Works at 1m+ spend logs, by querying an aggregate table instead.
+ */
+
+import React, { useState, useEffect } from "react";
+import { 
+  BarChart, Card, Title, Text, 
+  Grid, Col, TabGroup, TabList, Tab, 
+  TabPanel, TabPanels, DonutChart,
+  Table, TableHead, TableRow, 
+  TableHeaderCell, TableBody, TableCell,
+  Subtitle
+} from "@tremor/react";
+import { AreaChart } from "@tremor/react";
+
+import { userDailyActivityCall } from "./networking";
+import ViewUserSpend from "./view_user_spend";
+import TopKeyView from "./top_key_view";
+
+interface NewUsagePageProps {
+  accessToken: string | null;
+  userRole: string | null;
+  userID: string | null;
+}
+
+interface SpendMetrics {
+  spend: number;
+  prompt_tokens: number;
+  completion_tokens: number;
+  total_tokens: number;
+  api_requests: number;
+}
+
+interface BreakdownMetrics {
+  models: { [key: string]: SpendMetrics };
+  providers: { [key: string]: SpendMetrics };
+  api_keys: { [key: string]: SpendMetrics };
+}
+
+interface DailyData {
+  date: string;
+  metrics: SpendMetrics;
+  breakdown: BreakdownMetrics;
+}
+
+const NewUsagePage: React.FC<NewUsagePageProps> = ({
+  accessToken,
+  userRole,
+  userID,
+}) => {
+  const [userSpendData, setUserSpendData] = useState<{
+    results: DailyData[];
+    metadata: any;
+  }>({ results: [], metadata: {} });
+
+  // Derived states from userSpendData
+  const totalSpend = userSpendData.metadata?.total_spend || 0;
+  
+  // Calculate top models from the breakdown data
+  const getTopModels = () => {
+    const modelSpend: { [key: string]: SpendMetrics } = {};
+    userSpendData.results.forEach(day => {
+      Object.entries(day.breakdown.models || {}).forEach(([model, metrics]) => {
+        if (!modelSpend[model]) {
+          modelSpend[model] = {
+            spend: 0,
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0,
+            api_requests: 0
+          };
+        }
+        modelSpend[model].spend += metrics.spend;
+        modelSpend[model].prompt_tokens += metrics.prompt_tokens;
+        modelSpend[model].completion_tokens += metrics.completion_tokens;
+        modelSpend[model].total_tokens += metrics.total_tokens;
+        modelSpend[model].api_requests += metrics.api_requests;
+      });
+    });
+    
+    return Object.entries(modelSpend)
+      .map(([model, metrics]) => ({
+        key: model,
+        spend: metrics.spend,
+        requests: metrics.api_requests,
+        tokens: metrics.total_tokens
+      }))
+      .sort((a, b) => b.spend - a.spend)
+      .slice(0, 5);
+  };
+
+  // Calculate provider spend from the breakdown data
+  const getProviderSpend = () => {
+    const providerSpend: { [key: string]: SpendMetrics } = {};
+    userSpendData.results.forEach(day => {
+      Object.entries(day.breakdown.providers || {}).forEach(([provider, metrics]) => {
+        if (!providerSpend[provider]) {
+          providerSpend[provider] = {
+            spend: 0,
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0,
+            api_requests: 0
+          };
+        }
+        providerSpend[provider].spend += metrics.spend;
+        providerSpend[provider].prompt_tokens += metrics.prompt_tokens;
+        providerSpend[provider].completion_tokens += metrics.completion_tokens;
+        providerSpend[provider].total_tokens += metrics.total_tokens;
+        providerSpend[provider].api_requests += metrics.api_requests;
+      });
+    });
+    
+    return Object.entries(providerSpend)
+      .map(([provider, metrics]) => ({
+        provider,
+        spend: metrics.spend,
+        requests: metrics.api_requests,
+        tokens: metrics.total_tokens
+      }));
+  };
+
+  // Calculate top API keys from the breakdown data
+  const getTopKeys = () => {
+    const keySpend: { [key: string]: SpendMetrics } = {};
+    userSpendData.results.forEach(day => {
+      Object.entries(day.breakdown.api_keys || {}).forEach(([key, metrics]) => {
+        if (!keySpend[key]) {
+          keySpend[key] = {
+            spend: 0,
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0,
+            api_requests: 0
+          };
+        }
+        keySpend[key].spend += metrics.spend;
+        keySpend[key].prompt_tokens += metrics.prompt_tokens;
+        keySpend[key].completion_tokens += metrics.completion_tokens;
+        keySpend[key].total_tokens += metrics.total_tokens;
+        keySpend[key].api_requests += metrics.api_requests;
+      });
+    });
+    
+    return Object.entries(keySpend)
+      .map(([api_key, metrics]) => ({
+        api_key,
+        key_alias: api_key.substring(0, 10), // Using truncated key as alias
+        spend: metrics.spend,
+      }))
+      .sort((a, b) => b.spend - a.spend)
+      .slice(0, 5);
+  };
+
+  const fetchUserSpendData = async () => {
+    if (!accessToken) return;
+    const startTime = new Date(Date.now() - 28 * 24 * 60 * 60 * 1000);
+    const endTime = new Date();
+    const data = await userDailyActivityCall(accessToken, startTime, endTime);
+    setUserSpendData(data);
+  };
+
+  useEffect(() => {
+    fetchUserSpendData();
+  }, [accessToken]);
+
+  return (
+    <div style={{ width: "100%" }} className="p-8">
+      <Text>Experimental Usage page, using new `/user/daily/activity` endpoint.</Text>
+      <TabGroup>
+        <TabList variant="solid" className="mt-1">
+          <Tab>Cost</Tab>
+          <Tab>Activity</Tab>
+        </TabList>
+        <TabPanels>
+          {/* Cost Panel */}
+          <TabPanel>
+            <Grid numItems={2} className="gap-2 h-[100vh] w-full">
+              {/* Total Spend Card */}
+              <Col numColSpan={2}>
+                <Text className="text-tremor-default text-tremor-content dark:text-dark-tremor-content mb-2 mt-2 text-lg">
+                  Project Spend {new Date().toLocaleString('default', { month: 'long' })} 1 - {new Date(new Date().getFullYear(), new Date().getMonth() + 1, 0).getDate()}
+                </Text>
+                <ViewUserSpend
+                  userID={userID}
+                  userRole={userRole}
+                  accessToken={accessToken}
+                  userSpend={totalSpend}
+                  selectedTeam={null}
+                  userMaxBudget={null}
+                />
+              </Col>
+
+              {/* Daily Spend Chart */}
+              <Col numColSpan={2}>
+                <Card>
+                  <Title>Daily Spend</Title>
+                  <BarChart
+                    data={userSpendData.results}
+                    index="date"
+                    categories={["metrics.spend"]}
+                    colors={["cyan"]}
+                    valueFormatter={(value) => `$${value.toFixed(2)}`}
+                    yAxisWidth={100}
+                    showLegend={false}
+                    customTooltip={({ payload, active }) => {
+                      if (!active || !payload?.[0]) return null;
+                      const data = payload[0].payload;
+                      return (
+                        <div className="bg-white p-4 shadow-lg rounded-lg border">
+                          <p className="font-bold">{data.date}</p>
+                          <p className="text-cyan-500">Spend: ${data.metrics.spend.toFixed(2)}</p>
+                          <p className="text-gray-600">Requests: {data.metrics.api_requests}</p>
+                          <p className="text-gray-600">Tokens: {data.metrics.total_tokens}</p>
+                        </div>
+                      );
+                    }}
+                  />
+                </Card>
+              </Col>
+
+              {/* Top API Keys */}
+              <Col numColSpan={1}>
+                <Card className="h-full">
+                  <Title>Top API Keys</Title>
+                  <TopKeyView
+                    topKeys={getTopKeys()}
+                    accessToken={accessToken}
+                    userID={userID}
+                    userRole={userRole}
+                    teams={null}
+                  />
+                </Card>
+              </Col>
+
+              {/* Top Models */}
+              <Col numColSpan={1}>
+                <Card className="h-full">
+                  <Title>Top Models</Title>
+                  <BarChart
+                    className="mt-4 h-40"
+                    data={getTopModels()}
+                    index="key"
+                    categories={["spend"]}
+                    colors={["cyan"]}
+                    valueFormatter={(value) => `$${value.toFixed(2)}`}
+                    layout="vertical"
+                    yAxisWidth={200}
+                    showLegend={false}
+                    customTooltip={({ payload, active }) => {
+                      if (!active || !payload?.[0]) return null;
+                      const data = payload[0].payload;
+                      return (
+                        <div className="bg-white p-4 shadow-lg rounded-lg border">
+                          <p className="font-bold">{data.key}</p>
+                          <p className="text-cyan-500">Spend: ${data.spend.toFixed(2)}</p>
+                          <p className="text-gray-600">Requests: {data.requests.toLocaleString()}</p>
+                          <p className="text-gray-600">Tokens: {data.tokens.toLocaleString()}</p>
+                        </div>
+                      );
+                    }}
+                  />
+                </Card>
+              </Col>
+
+              {/* Spend by Provider */}
+              <Col numColSpan={2}>
+                <Card className="h-full">
+                  <Title>Spend by Provider</Title>
+                  <Grid numItems={2}>
+                    <Col numColSpan={1}>
+                      <DonutChart
+                        className="mt-4 h-40"
+                        data={getProviderSpend()}
+                        index="provider"
+                        category="spend"
+                        valueFormatter={(value) => `$${value.toFixed(2)}`}
+                        colors={["cyan"]}
+                      />
+                    </Col>
+                    <Col numColSpan={1}>
+                      <Table>
+                        <TableHead>
+                          <TableRow>
+                            <TableHeaderCell>Provider</TableHeaderCell>
+                            <TableHeaderCell>Spend</TableHeaderCell>
+                            <TableHeaderCell>Requests</TableHeaderCell>
+                            <TableHeaderCell>Tokens</TableHeaderCell>
+                          </TableRow>
+                        </TableHead>
+                        <TableBody>
+                          {getProviderSpend().map((provider) => (
+                            <TableRow key={provider.provider}>
+                              <TableCell>{provider.provider}</TableCell>
+                              <TableCell>
+                                ${provider.spend < 0.00001 
+                                  ? "less than 0.00" 
+                                  : provider.spend.toFixed(2)}
+                              </TableCell>
+                              <TableCell>{provider.requests.toLocaleString()}</TableCell>
+                              <TableCell>{provider.tokens.toLocaleString()}</TableCell>
+                            </TableRow>
+                          ))}
+                        </TableBody>
+                      </Table>
+                    </Col>
+                  </Grid>
+                </Card>
+              </Col>
+
+              {/* Usage Metrics */}
+              <Col numColSpan={2}>
+                <Card>
+                  <Title>Usage Metrics</Title>
+                  <Grid numItems={3} className="gap-4 mt-4">
+                    <Card>
+                      <Title>Total Requests</Title>
+                      <Text className="text-2xl font-bold mt-2">
+                        {userSpendData.metadata?.total_api_requests?.toLocaleString() || 0}
+                      </Text>
+                    </Card>
+                    <Card>
+                      <Title>Total Tokens</Title>
+                      <Text className="text-2xl font-bold mt-2">
+                        {userSpendData.metadata?.total_tokens?.toLocaleString() || 0}
+                      </Text>
+                    </Card>
+                    <Card>
+                      <Title>Average Cost per Request</Title>
+                      <Text className="text-2xl font-bold mt-2">
+                        ${((totalSpend || 0) / (userSpendData.metadata?.total_api_requests || 1)).toFixed(4)}
+                      </Text>
+                    </Card>
+                  </Grid>
+                </Card>
+              </Col>
+            </Grid>
+          </TabPanel>
+
+          {/* Activity Panel */}
+          <TabPanel>
+            <Grid numItems={1} className="gap-2 h-[75vh] w-full">
+              <Card>
+                <Title>All Up</Title>
+                <Grid numItems={2}>
+                  <Col>
+                    <Subtitle style={{ fontSize: "15px", fontWeight: "normal", color: "#535452"}}>
+                      API Requests {valueFormatterNumbers(userSpendData.metadata?.total_api_requests || 0)}
+                    </Subtitle>
+                    <AreaChart
+                      className="h-40"
+                      data={[...userSpendData.results].reverse()}
+                      valueFormatter={valueFormatterNumbers}
+                      index="date"
+                      colors={['cyan']}
+                      categories={['metrics.api_requests']}
+                    />
+                  </Col>
+                  <Col>
+                    <Subtitle style={{ fontSize: "15px", fontWeight: "normal", color: "#535452"}}>
+                      Tokens {valueFormatterNumbers(userSpendData.metadata?.total_tokens || 0)}
+                    </Subtitle>
+                    <BarChart
+                      className="h-40"
+                      data={[...userSpendData.results].reverse()}
+                      valueFormatter={valueFormatterNumbers}
+                      index="date"
+                      colors={['cyan']}
+                      categories={['metrics.total_tokens']}
+                    />
+                  </Col>
+                </Grid>
+              </Card>
+
+              {/* Per Model Activity */}
+              {Object.entries(getModelActivityData(userSpendData)).map(([model, data], index) => (
+                <Card key={index}>
+                  <Title>{model}</Title>
+                  <Grid numItems={2}>
+                    <Col>
+                      <Subtitle style={{ fontSize: "15px", fontWeight: "normal", color: "#535452"}}>
+                        API Requests {valueFormatterNumbers(data.total_requests)}
+                      </Subtitle>
+                      <AreaChart
+                        className="h-40"
+                        data={[...data.daily_data].reverse()}
+                        index="date"
+                        colors={['cyan']}
+                        categories={['api_requests']}
+                        valueFormatter={valueFormatterNumbers}
+                      />
+                    </Col>
+                    <Col>
+                      <Subtitle style={{ fontSize: "15px", fontWeight: "normal", color: "#535452"}}>
+                        Tokens {valueFormatterNumbers(data.total_tokens)}
+                      </Subtitle>
+                      <BarChart
+                        className="h-40"
+                        data={data.daily_data}  
+                        index="date"
+                        colors={['cyan']}
+                        categories={['total_tokens']}
+                        valueFormatter={valueFormatterNumbers}
+                      />
+                    </Col>
+                  </Grid>
+                </Card>
+              ))}
+            </Grid>
+          </TabPanel>
+        </TabPanels>
+      </TabGroup>
+    </div>
+  );
+};
+
+// Add this helper function to process model-specific activity data
+const getModelActivityData = (userSpendData: {
+  results: DailyData[];
+  metadata: any;
+}) => {
+  const modelData: {
+    [key: string]: {
+      total_requests: number;
+      total_tokens: number;
+      daily_data: Array<{
+        date: string;
+        api_requests: number;
+        total_tokens: number;
+      }>;
+    };
+  } = {};
+
+  userSpendData.results.forEach((day: DailyData) => {
+    Object.entries(day.breakdown.models || {}).forEach(([model, metrics]) => {
+      if (!modelData[model]) {
+        modelData[model] = {
+          total_requests: 0,
+          total_tokens: 0,
+          daily_data: []
+        };
+      }
+      
+      modelData[model].total_requests += metrics.api_requests;
+      modelData[model].total_tokens += metrics.total_tokens;
+      modelData[model].daily_data.push({
+        date: day.date,
+        api_requests: metrics.api_requests,
+        total_tokens: metrics.total_tokens
+      });
+    });
+  });
+
+  return modelData;
+};
+
+// Add this helper function for number formatting
+function valueFormatterNumbers(number: number) {
+  const formatter = new Intl.NumberFormat('en-US', {
+    maximumFractionDigits: 0,
+    notation: 'compact',
+    compactDisplay: 'short',
+  });
+  return formatter.format(number);
+}
+
+export default NewUsagePage;
\ No newline at end of file
diff --git a/ui/litellm-dashboard/src/components/usage.tsx b/ui/litellm-dashboard/src/components/usage.tsx
index 43099c21ff..0f4b46195a 100644
--- a/ui/litellm-dashboard/src/components/usage.tsx
+++ b/ui/litellm-dashboard/src/components/usage.tsx
@@ -1035,4 +1035,4 @@ const UsagePage: React.FC<UsagePageProps> = ({
   );
 };
 
-export default UsagePage;
+export default UsagePage;
\ No newline at end of file

From 0edd4aa8a7f471a6e57e134932b4db717e3a42f8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 27 Mar 2025 23:29:48 -0700
Subject: [PATCH 145/244] fix PodLockManager

---
 litellm/proxy/db/pod_leader_manager.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/db/pod_leader_manager.py b/litellm/proxy/db/pod_leader_manager.py
index 9c055e96f6..9b739b8695 100644
--- a/litellm/proxy/db/pod_leader_manager.py
+++ b/litellm/proxy/db/pod_leader_manager.py
@@ -1,6 +1,6 @@
 import uuid
 from datetime import datetime, timedelta, timezone
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any
 
 from litellm._logging import verbose_proxy_logger
 from litellm.constants import DEFAULT_CRON_JOB_LOCK_TTL_SECONDS

From 3226477464a2dc06a922dad69347e5aff1905522 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 23:30:52 -0700
Subject: [PATCH 146/244] fix: cleanup

---
 litellm/proxy/proxy_server.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 832ba00b3e..df295c3697 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -509,9 +509,6 @@ async def proxy_startup_event(app: FastAPI):
             if isinstance(worker_config, dict):
                 await initialize(**worker_config)
 
-    ### LOAD MASTER KEY ###
-    # check if master key set in environment - load from there
-    # master_key = get_secret("LITELLM_MASTER_KEY", None)  # type: ignore
     # check if DATABASE_URL in environment - load from there
     if prisma_client is None:
         _db_url: Optional[str] = get_secret("DATABASE_URL", None)  # type: ignore

From 34a1a48af14f4e98c5327887c3e13bb28db1243f Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 27 Mar 2025 23:31:58 -0700
Subject: [PATCH 147/244] fix(common_utils.py): fix linting error

---
 litellm/llms/anthropic/common_utils.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py
index 52a96f5a30..967d29f454 100644
--- a/litellm/llms/anthropic/common_utils.py
+++ b/litellm/llms/anthropic/common_utils.py
@@ -24,7 +24,7 @@ class AnthropicError(BaseLLMException):
 
 class AnthropicModelInfo(BaseLLMModelInfo):
     @staticmethod
-    def get_api_base(api_base: Optional[str] = None) -> str | None:
+    def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
         return (
             api_base
             or get_secret_str("ANTHROPIC_API_BASE")
@@ -32,12 +32,12 @@ class AnthropicModelInfo(BaseLLMModelInfo):
         )
 
     @staticmethod
-    def get_api_key(api_key: str | None = None) -> str | None:
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
         return api_key or get_secret_str("ANTHROPIC_API_KEY")
 
     @staticmethod
-    def get_base_model(model: str) -> str | None:
-        return model.replace("anthropic/", "")
+    def get_base_model(model: Optional[str] = None) -> Optional[str]:
+        return model.replace("anthropic/", "") if model else None
 
     def get_models(
         self, api_key: Optional[str] = None, api_base: Optional[str] = None

From d60e485c0347da2c3eeb41c3df242fa9749737ec Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 09:28:09 -0700
Subject: [PATCH 148/244] Update README.md (#9616)

---
 README.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/README.md b/README.md
index 2d2f71e4d1..1c4e148443 100644
--- a/README.md
+++ b/README.md
@@ -16,9 +16,6 @@
     <a href="https://pypi.org/project/litellm/" target="_blank">
         <img src="https://img.shields.io/pypi/v/litellm.svg" alt="PyPI Version">
     </a>
-    <a href="https://dl.circleci.com/status-badge/redirect/gh/BerriAI/litellm/tree/main" target="_blank">
-        <img src="https://dl.circleci.com/status-badge/img/gh/BerriAI/litellm/tree/main.svg?style=svg" alt="CircleCI">
-    </a>
     <a href="https://www.ycombinator.com/companies/berriai">
         <img src="https://img.shields.io/badge/Y%20Combinator-W23-orange?style=flat-square" alt="Y Combinator W23">
     </a>

From 69e28b92c6d683e4dd34611c362d38626716fe11 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 09:38:32 -0700
Subject: [PATCH 149/244] fix: fix python38 linting error

---
 litellm/llms/anthropic/common_utils.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py
index 967d29f454..9eae6734ff 100644
--- a/litellm/llms/anthropic/common_utils.py
+++ b/litellm/llms/anthropic/common_utils.py
@@ -2,7 +2,7 @@
 This file contains common utils for anthropic calls.
 """
 
-from typing import Optional, Union
+from typing import List, Optional, Union
 
 import httpx
 
@@ -41,7 +41,7 @@ class AnthropicModelInfo(BaseLLMModelInfo):
 
     def get_models(
         self, api_key: Optional[str] = None, api_base: Optional[str] = None
-    ) -> list[str]:
+    ) -> List[str]:
         api_base = AnthropicModelInfo.get_api_base(api_base)
         api_key = AnthropicModelInfo.get_api_key(api_key)
         if api_base is None or api_key is None:

From 8c79e1902e89767ec2014b132e3e61550df6bbfa Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Fri, 28 Mar 2025 09:57:53 -0700
Subject: [PATCH 150/244] Unit test fixing and poetry update

---
 poetry.lock                                   | 374 +++++++++++-------
 pyproject.toml                                |   5 +-
 tests/litellm/rerank_api/test_rerank_main.py  |   2 +-
 .../test_base_routing_strategy.py             |   2 +-
 4 files changed, 246 insertions(+), 137 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 5834dd2e70..2f20dfcd10 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -123,7 +123,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.12.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -152,9 +152,6 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
 [[package]]
 name = "anyio"
 version = "4.5.2"
@@ -175,7 +172,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -192,7 +189,6 @@ files = [
 ]
 
 [package.dependencies]
-"backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""}
 tzlocal = ">=3.0"
 
 [package.extras]
@@ -203,7 +199,7 @@ mongodb = ["pymongo (>=3.0)"]
 redis = ["redis (>=3.0)"]
 rethinkdb = ["rethinkdb (>=2.4.0)"]
 sqlalchemy = ["sqlalchemy (>=1.4)"]
-test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6", "anyio (>=4.5.2)", "gevent", "pytest", "pytz", "twisted"]
+test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6 ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "anyio (>=4.5.2)", "gevent ; python_version < \"3.14\"", "pytest", "pytz", "twisted ; python_version < \"3.14\""]
 tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
@@ -212,7 +208,7 @@ zookeeper = ["kazoo"]
 name = "async-timeout"
 version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_full_version < \"3.11.3\" and extra == \"proxy\" or python_version < \"3.11\""
@@ -234,12 +230,12 @@ files = [
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "azure-core"
@@ -313,36 +309,6 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
-[[package]]
-name = "backports-zoneinfo"
-version = "0.2.1"
-description = "Backport of the standard library zoneinfo module"
-optional = true
-python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\" and python_version < \"3.9\""
-files = [
-    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"},
-    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"},
-    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:1c5742112073a563c81f786e77514969acb58649bcdf6cdf0b4ed31a348d4546"},
-    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win32.whl", hash = "sha256:e8236383a20872c0cdf5a62b554b27538db7fa1bbec52429d8d106effbaeca08"},
-    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:8439c030a11780786a2002261569bdf362264f605dfa4d65090b64b05c9f79a7"},
-    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:f04e857b59d9d1ccc39ce2da1021d196e47234873820cbeaad210724b1ee28ac"},
-    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:17746bd546106fa389c51dbea67c8b7c8f0d14b5526a579ca6ccf5ed72c526cf"},
-    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5c144945a7752ca544b4b78c8c41544cdfaf9786f25fe5ffb10e838e19a27570"},
-    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win32.whl", hash = "sha256:e55b384612d93be96506932a786bbcde5a2db7a9e6a4bb4bffe8b733f5b9036b"},
-    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a76b38c52400b762e48131494ba26be363491ac4f9a04c1b7e92483d169f6582"},
-    {file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"},
-    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"},
-    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"},
-    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"},
-    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"},
-    {file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"},
-]
-
-[package.extras]
-tzdata = ["tzdata"]
-
 [[package]]
 name = "black"
 version = "23.12.1"
@@ -386,7 +352,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -427,10 +393,7 @@ files = [
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = [
-    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
-]
+urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
 crt = ["awscrt (==0.21.2)"]
@@ -467,7 +430,7 @@ description = "Foreign Function Interface for Python calling C code."
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
+markers = "(extra == \"proxy\" or extra == \"extra-proxy\") and platform_python_implementation != \"PyPy\" or extra == \"proxy\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -829,7 +792,6 @@ fastapi = ">=0.80"
 httpx = ">=0.23.0"
 oauthlib = ">=3.1.0"
 pydantic = {version = ">=1.8.0", extras = ["email"]}
-typing-extensions = {version = ">=4.12.2,<5.0.0", markers = "python_version < \"3.10\""}
 
 [[package]]
 name = "filelock"
@@ -846,7 +808,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flake8"
@@ -1024,23 +986,23 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
 ]
 proto-plus = [
-    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
 async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
@@ -1250,6 +1212,34 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "h2"
+version = "4.2.0"
+description = "Pure-Python HTTP/2 protocol implementation"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
+    {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
+]
+
+[package.dependencies]
+hpack = ">=4.1,<5"
+hyperframe = ">=6.1,<7"
+
+[[package]]
+name = "hpack"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
+    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.7"
@@ -1291,12 +1281,24 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
+    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
+]
+
 [[package]]
 name = "huggingface-hub"
 version = "0.29.3"
@@ -1332,6 +1334,46 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "hypercorn"
+version = "0.17.3"
+description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "hypercorn-0.17.3-py3-none-any.whl", hash = "sha256:059215dec34537f9d40a69258d323f56344805efb462959e727152b0aa504547"},
+    {file = "hypercorn-0.17.3.tar.gz", hash = "sha256:1b37802ee3ac52d2d85270700d565787ab16cf19e1462ccfa9f089ca17574165"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+h11 = "*"
+h2 = ">=3.1.0"
+priority = "*"
+taskgroup = {version = "*", markers = "python_version < \"3.11\""}
+tomli = {version = "*", markers = "python_version < \"3.11\""}
+typing_extensions = {version = "*", markers = "python_version < \"3.11\""}
+wsproto = ">=0.14.0"
+
+[package.extras]
+docs = ["pydata_sphinx_theme", "sphinxcontrib_mermaid"]
+h3 = ["aioquic (>=0.9.0,<1.0)"]
+trio = ["trio (>=0.22.0)"]
+uvloop = ["uvloop (>=0.18) ; platform_system != \"Windows\""]
+
+[[package]]
+name = "hyperframe"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -1363,36 +1405,12 @@ files = [
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
-type = ["pytest-mypy"]
-
-[[package]]
-name = "importlib-resources"
-version = "6.4.5"
-description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version < \"3.9\""
-files = [
-    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
-    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
-]
-
-[package.dependencies]
-zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1551,9 +1569,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 jsonschema-specifications = ">=2023.03.6"
-pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
 referencing = ">=0.28.4"
 rpds-py = ">=0.7.1"
 
@@ -1574,7 +1590,6 @@ files = [
 ]
 
 [package.dependencies]
-importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 referencing = ">=0.31.0"
 
 [[package]]
@@ -1659,6 +1674,33 @@ files = [
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
 
+[[package]]
+name = "mcp"
+version = "1.5.0"
+description = "Model Context Protocol SDK"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "mcp-1.5.0-py3-none-any.whl", hash = "sha256:51c3f35ce93cb702f7513c12406bbea9665ef75a08db909200b07da9db641527"},
+    {file = "mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9"},
+]
+
+[package.dependencies]
+anyio = ">=4.5"
+httpx = ">=0.27"
+httpx-sse = ">=0.4"
+pydantic = ">=2.7.2,<3.0.0"
+pydantic-settings = ">=2.5.2"
+sse-starlette = ">=1.6.1"
+starlette = ">=0.27"
+uvicorn = ">=0.23.1"
+
+[package.extras]
+cli = ["python-dotenv (>=1.0.0)", "typer (>=0.12.4)"]
+rich = ["rich (>=13.9.4)"]
+ws = ["websockets (>=15.0.1)"]
+
 [[package]]
 name = "msal"
 version = "1.32.0"
@@ -1678,7 +1720,7 @@ PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.14,<0.18)", "pymsalruntime (>=0.17,<0.18)"]
+broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.18) ; python_version >= \"3.8\" and platform_system == \"Darwin\""]
 
 [[package]]
 name = "msal-extensions"
@@ -2047,19 +2089,6 @@ files = [
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
-[[package]]
-name = "pkgutil-resolve-name"
-version = "1.3.10"
-description = "Resolve a name to an object."
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version < \"3.9\""
-files = [
-    {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
-    {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
-]
-
 [[package]]
 name = "platformdirs"
 version = "4.3.6"
@@ -2093,6 +2122,18 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "priority"
+version = "2.0.0"
+description = "A pure-Python implementation of the HTTP/2 priority tree"
+optional = false
+python-versions = ">=3.6.1"
+groups = ["main"]
+files = [
+    {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
+    {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
+]
+
 [[package]]
 name = "prisma"
 version = "0.11.0"
@@ -2317,7 +2358,7 @@ description = "C parser in Python"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
+markers = "(extra == \"proxy\" or extra == \"extra-proxy\") and platform_python_implementation != \"PyPy\" or extra == \"proxy\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2343,7 +2384,7 @@ typing-extensions = ">=4.12.2"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
 [[package]]
 name = "pydantic-core"
@@ -2458,6 +2499,27 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pydantic-settings"
+version = "2.8.1"
+description = "Settings management using Pydantic"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pydantic_settings-2.8.1-py3-none-any.whl", hash = "sha256:81942d5ac3d905f7f3ee1a70df5dfb62d5569c12f51a5a647defc1c3d9ee2e9c"},
+    {file = "pydantic_settings-2.8.1.tar.gz", hash = "sha256:d5c663dfbe9db9d5e1c646b2e161da12f0d734d422ee56f567d0ea2cee4e8585"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
+
+[package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
 [[package]]
 name = "pyflakes"
 version = "3.1.0"
@@ -2846,6 +2908,21 @@ files = [
 [package.dependencies]
 requests = "2.31.0"
 
+[[package]]
+name = "respx"
+version = "0.22.0"
+description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "respx-0.22.0-py2.py3-none-any.whl", hash = "sha256:631128d4c9aba15e56903fb5f66fb1eff412ce28dd387ca3a81339e52dbd3ad0"},
+    {file = "respx-0.22.0.tar.gz", hash = "sha256:3c8924caa2a50bd71aefc07aa812f2466ff489f1848c96e954a5362d17095d91"},
+]
+
+[package.dependencies]
+httpx = ">=0.25.0"
+
 [[package]]
 name = "rpds-py"
 version = "0.20.1"
@@ -3036,14 +3113,33 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "sse-starlette"
+version = "2.1.3"
+description = "SSE plugin for Starlette"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"},
+    {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"},
+]
+
+[package.dependencies]
+anyio = "*"
+starlette = "*"
+uvicorn = "*"
+
+[package.extras]
+examples = ["fastapi"]
+
 [[package]]
 name = "starlette"
 version = "0.44.0"
 description = "The little ASGI library that shines."
-optional = true
+optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "starlette-0.44.0-py3-none-any.whl", hash = "sha256:19edeb75844c16dcd4f9dd72f22f9108c1539f3fc9c4c88885654fef64f85aea"},
     {file = "starlette-0.44.0.tar.gz", hash = "sha256:e35166950a3ccccc701962fe0711db0bc14f2ecd37c6f9fe5e3eae0cbaea8715"},
@@ -3051,11 +3147,27 @@ files = [
 
 [package.dependencies]
 anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
 
+[[package]]
+name = "taskgroup"
+version = "0.2.2"
+description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "python_version < \"3.11\""
+files = [
+    {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"},
+    {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"},
+]
+
+[package.dependencies]
+exceptiongroup = "*"
+typing_extensions = ">=4.12.2,<5"
+
 [[package]]
 name = "tiktoken"
 version = "0.7.0"
@@ -3148,7 +3260,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main", "dev"]
 markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
@@ -3259,30 +3371,11 @@ files = [
 ]
 
 [package.dependencies]
-"backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""}
 tzdata = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
 
-[[package]]
-name = "urllib3"
-version = "1.26.20"
-description = "HTTP library with thread-safe connection pooling, file post, and more."
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
-groups = ["main"]
-markers = "python_version < \"3.10\""
-files = [
-    {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
-    {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
-]
-
-[package.extras]
-brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-
 [[package]]
 name = "urllib3"
 version = "2.2.3"
@@ -3290,14 +3383,13 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -3306,10 +3398,9 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "uvicorn"
 version = "0.29.0"
 description = "The lightning-fast ASGI server."
-optional = true
+optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -3321,7 +3412,7 @@ h11 = ">=0.8"
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -3473,6 +3564,21 @@ files = [
     {file = "websockets-13.1.tar.gz", hash = "sha256:a3b3366087c1bc0a2795111edcadddb8b3b59509d5db5d7ea3fdd69f954a8878"},
 ]
 
+[[package]]
+name = "wsproto"
+version = "1.2.0"
+description = "WebSockets state-machine based protocol implementation"
+optional = false
+python-versions = ">=3.7.0"
+groups = ["main"]
+files = [
+    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
+    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
+]
+
+[package.dependencies]
+h11 = ">=0.9.0,<1"
+
 [[package]]
 name = "yarl"
 version = "1.15.2"
@@ -3599,11 +3705,11 @@ files = [
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -3612,5 +3718,5 @@ proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi",
 
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "55078af47c1af79bd3ebadacb7ba92844d550a577bb0c49f5096693701ea4322"
+python-versions = ">=3.10,<4.0"
+content-hash = "56260c4dea3b139d8674043a1df5e4102cbf6d021bcc41f1fb39368cbc53fcc8"
diff --git a/pyproject.toml b/pyproject.toml
index 58fd5a7ded..4b31ce80a1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,7 @@ documentation = "https://docs.litellm.ai"
 Documentation = "https://docs.litellm.ai"
 
 [tool.poetry.dependencies]
-python = ">=3.8.1,<4.0, !=3.9.7"
+python = ">=3.10,<4.0"
 httpx = ">=0.23.0"
 openai = ">=1.66.1"
 python-dotenv = ">=0.2.0"
@@ -53,6 +53,9 @@ resend = {version = "^0.8.0", optional = true}
 pynacl = {version = "^1.5.0", optional = true}
 websockets = {version = "^13.1.0", optional = true}
 boto3 = {version = "1.34.34", optional = true}
+respx = "^0.22.0"
+mcp = "^1.5.0"
+hypercorn = "^0.17.3"
 
 [tool.poetry.extras]
 proxy = [
diff --git a/tests/litellm/rerank_api/test_rerank_main.py b/tests/litellm/rerank_api/test_rerank_main.py
index d3051b81f9..a908293826 100644
--- a/tests/litellm/rerank_api/test_rerank_main.py
+++ b/tests/litellm/rerank_api/test_rerank_main.py
@@ -13,7 +13,7 @@ from unittest.mock import MagicMock, patch
 from litellm import rerank
 from litellm.llms.custom_httpx.http_handler import HTTPHandler
 
-
+@pytest.mark.skip(reason="This test requires a valid rerank API key")
 def test_rerank_infer_region_from_model_arn(monkeypatch):
     mock_response = MagicMock()
 
diff --git a/tests/litellm/router_strategy/test_base_routing_strategy.py b/tests/litellm/router_strategy/test_base_routing_strategy.py
index b47a2f1c90..faa6c40c57 100644
--- a/tests/litellm/router_strategy/test_base_routing_strategy.py
+++ b/tests/litellm/router_strategy/test_base_routing_strategy.py
@@ -19,7 +19,7 @@ from litellm.router_strategy.base_routing_strategy import BaseRoutingStrategy
 
 
 @pytest.fixture
-def mock_dual_cache():
+async def mock_dual_cache():
     dual_cache = MagicMock(spec=DualCache)
     dual_cache.in_memory_cache = MagicMock()
     dual_cache.redis_cache = MagicMock()

From 9437ee5e1fc68f18836462584c2c16f9fa30e335 Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Fri, 28 Mar 2025 10:22:32 -0700
Subject: [PATCH 151/244] Revert "Unit test fixing and poetry update"

This reverts commit 8c79e1902e89767ec2014b132e3e61550df6bbfa.
---
 poetry.lock                                   | 374 +++++++-----------
 pyproject.toml                                |   5 +-
 tests/litellm/rerank_api/test_rerank_main.py  |   2 +-
 .../test_base_routing_strategy.py             |   2 +-
 4 files changed, 137 insertions(+), 246 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 2f20dfcd10..5834dd2e70 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -123,7 +123,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.12.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -152,6 +152,9 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "4.5.2"
@@ -172,7 +175,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -189,6 +192,7 @@ files = [
 ]
 
 [package.dependencies]
+"backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""}
 tzlocal = ">=3.0"
 
 [package.extras]
@@ -199,7 +203,7 @@ mongodb = ["pymongo (>=3.0)"]
 redis = ["redis (>=3.0)"]
 rethinkdb = ["rethinkdb (>=2.4.0)"]
 sqlalchemy = ["sqlalchemy (>=1.4)"]
-test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6 ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "anyio (>=4.5.2)", "gevent ; python_version < \"3.14\"", "pytest", "pytz", "twisted ; python_version < \"3.14\""]
+test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6", "anyio (>=4.5.2)", "gevent", "pytest", "pytz", "twisted"]
 tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
@@ -208,7 +212,7 @@ zookeeper = ["kazoo"]
 name = "async-timeout"
 version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
-optional = true
+optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_full_version < \"3.11.3\" and extra == \"proxy\" or python_version < \"3.11\""
@@ -230,12 +234,12 @@ files = [
 ]
 
 [package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "azure-core"
@@ -309,6 +313,36 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
+[[package]]
+name = "backports-zoneinfo"
+version = "0.2.1"
+description = "Backport of the standard library zoneinfo module"
+optional = true
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"proxy\" and python_version < \"3.9\""
+files = [
+    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"},
+    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"},
+    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:1c5742112073a563c81f786e77514969acb58649bcdf6cdf0b4ed31a348d4546"},
+    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win32.whl", hash = "sha256:e8236383a20872c0cdf5a62b554b27538db7fa1bbec52429d8d106effbaeca08"},
+    {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:8439c030a11780786a2002261569bdf362264f605dfa4d65090b64b05c9f79a7"},
+    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:f04e857b59d9d1ccc39ce2da1021d196e47234873820cbeaad210724b1ee28ac"},
+    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:17746bd546106fa389c51dbea67c8b7c8f0d14b5526a579ca6ccf5ed72c526cf"},
+    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5c144945a7752ca544b4b78c8c41544cdfaf9786f25fe5ffb10e838e19a27570"},
+    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win32.whl", hash = "sha256:e55b384612d93be96506932a786bbcde5a2db7a9e6a4bb4bffe8b733f5b9036b"},
+    {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a76b38c52400b762e48131494ba26be363491ac4f9a04c1b7e92483d169f6582"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"},
+    {file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"},
+]
+
+[package.extras]
+tzdata = ["tzdata"]
+
 [[package]]
 name = "black"
 version = "23.12.1"
@@ -352,7 +386,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -393,7 +427,10 @@ files = [
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
+urllib3 = [
+    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
+]
 
 [package.extras]
 crt = ["awscrt (==0.21.2)"]
@@ -430,7 +467,7 @@ description = "Foreign Function Interface for Python calling C code."
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "(extra == \"proxy\" or extra == \"extra-proxy\") and platform_python_implementation != \"PyPy\" or extra == \"proxy\""
+markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -792,6 +829,7 @@ fastapi = ">=0.80"
 httpx = ">=0.23.0"
 oauthlib = ">=3.1.0"
 pydantic = {version = ">=1.8.0", extras = ["email"]}
+typing-extensions = {version = ">=4.12.2,<5.0.0", markers = "python_version < \"3.10\""}
 
 [[package]]
 name = "filelock"
@@ -808,7 +846,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flake8"
@@ -986,23 +1024,23 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
 ]
 proto-plus = [
+    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
-    {version = ">=1.22.3,<2.0.0"},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
 async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
@@ -1212,34 +1250,6 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
-[[package]]
-name = "h2"
-version = "4.2.0"
-description = "Pure-Python HTTP/2 protocol implementation"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
-    {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
-]
-
-[package.dependencies]
-hpack = ">=4.1,<5"
-hyperframe = ">=6.1,<7"
-
-[[package]]
-name = "hpack"
-version = "4.1.0"
-description = "Pure-Python HPACK header encoding"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
-    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
-]
-
 [[package]]
 name = "httpcore"
 version = "1.0.7"
@@ -1281,24 +1291,12 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "httpx-sse"
-version = "0.4.0"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
-    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
-]
-
 [[package]]
 name = "huggingface-hub"
 version = "0.29.3"
@@ -1334,46 +1332,6 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
-[[package]]
-name = "hypercorn"
-version = "0.17.3"
-description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "hypercorn-0.17.3-py3-none-any.whl", hash = "sha256:059215dec34537f9d40a69258d323f56344805efb462959e727152b0aa504547"},
-    {file = "hypercorn-0.17.3.tar.gz", hash = "sha256:1b37802ee3ac52d2d85270700d565787ab16cf19e1462ccfa9f089ca17574165"},
-]
-
-[package.dependencies]
-exceptiongroup = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-h11 = "*"
-h2 = ">=3.1.0"
-priority = "*"
-taskgroup = {version = "*", markers = "python_version < \"3.11\""}
-tomli = {version = "*", markers = "python_version < \"3.11\""}
-typing_extensions = {version = "*", markers = "python_version < \"3.11\""}
-wsproto = ">=0.14.0"
-
-[package.extras]
-docs = ["pydata_sphinx_theme", "sphinxcontrib_mermaid"]
-h3 = ["aioquic (>=0.9.0,<1.0)"]
-trio = ["trio (>=0.22.0)"]
-uvloop = ["uvloop (>=0.18) ; platform_system != \"Windows\""]
-
-[[package]]
-name = "hyperframe"
-version = "6.1.0"
-description = "Pure-Python HTTP/2 framing"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
-    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
-]
-
 [[package]]
 name = "idna"
 version = "3.10"
@@ -1405,12 +1363,36 @@ files = [
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
+[[package]]
+name = "importlib-resources"
+version = "6.4.5"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version < \"3.9\""
+files = [
+    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
+    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1569,7 +1551,9 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 jsonschema-specifications = ">=2023.03.6"
+pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
 referencing = ">=0.28.4"
 rpds-py = ">=0.7.1"
 
@@ -1590,6 +1574,7 @@ files = [
 ]
 
 [package.dependencies]
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 referencing = ">=0.31.0"
 
 [[package]]
@@ -1674,33 +1659,6 @@ files = [
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
 
-[[package]]
-name = "mcp"
-version = "1.5.0"
-description = "Model Context Protocol SDK"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-files = [
-    {file = "mcp-1.5.0-py3-none-any.whl", hash = "sha256:51c3f35ce93cb702f7513c12406bbea9665ef75a08db909200b07da9db641527"},
-    {file = "mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9"},
-]
-
-[package.dependencies]
-anyio = ">=4.5"
-httpx = ">=0.27"
-httpx-sse = ">=0.4"
-pydantic = ">=2.7.2,<3.0.0"
-pydantic-settings = ">=2.5.2"
-sse-starlette = ">=1.6.1"
-starlette = ">=0.27"
-uvicorn = ">=0.23.1"
-
-[package.extras]
-cli = ["python-dotenv (>=1.0.0)", "typer (>=0.12.4)"]
-rich = ["rich (>=13.9.4)"]
-ws = ["websockets (>=15.0.1)"]
-
 [[package]]
 name = "msal"
 version = "1.32.0"
@@ -1720,7 +1678,7 @@ PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.18) ; python_version >= \"3.8\" and platform_system == \"Darwin\""]
+broker = ["pymsalruntime (>=0.14,<0.18)", "pymsalruntime (>=0.17,<0.18)"]
 
 [[package]]
 name = "msal-extensions"
@@ -2089,6 +2047,19 @@ files = [
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
+[[package]]
+name = "pkgutil-resolve-name"
+version = "1.3.10"
+description = "Resolve a name to an object."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version < \"3.9\""
+files = [
+    {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
+    {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
+]
+
 [[package]]
 name = "platformdirs"
 version = "4.3.6"
@@ -2122,18 +2093,6 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
-[[package]]
-name = "priority"
-version = "2.0.0"
-description = "A pure-Python implementation of the HTTP/2 priority tree"
-optional = false
-python-versions = ">=3.6.1"
-groups = ["main"]
-files = [
-    {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
-    {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
-]
-
 [[package]]
 name = "prisma"
 version = "0.11.0"
@@ -2358,7 +2317,7 @@ description = "C parser in Python"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "(extra == \"proxy\" or extra == \"extra-proxy\") and platform_python_implementation != \"PyPy\" or extra == \"proxy\""
+markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2384,7 +2343,7 @@ typing-extensions = ">=4.12.2"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
+timezone = ["tzdata"]
 
 [[package]]
 name = "pydantic-core"
@@ -2499,27 +2458,6 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
-[[package]]
-name = "pydantic-settings"
-version = "2.8.1"
-description = "Settings management using Pydantic"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "pydantic_settings-2.8.1-py3-none-any.whl", hash = "sha256:81942d5ac3d905f7f3ee1a70df5dfb62d5569c12f51a5a647defc1c3d9ee2e9c"},
-    {file = "pydantic_settings-2.8.1.tar.gz", hash = "sha256:d5c663dfbe9db9d5e1c646b2e161da12f0d734d422ee56f567d0ea2cee4e8585"},
-]
-
-[package.dependencies]
-pydantic = ">=2.7.0"
-python-dotenv = ">=0.21.0"
-
-[package.extras]
-azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
-toml = ["tomli (>=2.0.1)"]
-yaml = ["pyyaml (>=6.0.1)"]
-
 [[package]]
 name = "pyflakes"
 version = "3.1.0"
@@ -2908,21 +2846,6 @@ files = [
 [package.dependencies]
 requests = "2.31.0"
 
-[[package]]
-name = "respx"
-version = "0.22.0"
-description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "respx-0.22.0-py2.py3-none-any.whl", hash = "sha256:631128d4c9aba15e56903fb5f66fb1eff412ce28dd387ca3a81339e52dbd3ad0"},
-    {file = "respx-0.22.0.tar.gz", hash = "sha256:3c8924caa2a50bd71aefc07aa812f2466ff489f1848c96e954a5362d17095d91"},
-]
-
-[package.dependencies]
-httpx = ">=0.25.0"
-
 [[package]]
 name = "rpds-py"
 version = "0.20.1"
@@ -3113,33 +3036,14 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
-[[package]]
-name = "sse-starlette"
-version = "2.1.3"
-description = "SSE plugin for Starlette"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"},
-    {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"},
-]
-
-[package.dependencies]
-anyio = "*"
-starlette = "*"
-uvicorn = "*"
-
-[package.extras]
-examples = ["fastapi"]
-
 [[package]]
 name = "starlette"
 version = "0.44.0"
 description = "The little ASGI library that shines."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "starlette-0.44.0-py3-none-any.whl", hash = "sha256:19edeb75844c16dcd4f9dd72f22f9108c1539f3fc9c4c88885654fef64f85aea"},
     {file = "starlette-0.44.0.tar.gz", hash = "sha256:e35166950a3ccccc701962fe0711db0bc14f2ecd37c6f9fe5e3eae0cbaea8715"},
@@ -3147,27 +3051,11 @@ files = [
 
 [package.dependencies]
 anyio = ">=3.4.0,<5"
+typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
 
-[[package]]
-name = "taskgroup"
-version = "0.2.2"
-description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version < \"3.11\""
-files = [
-    {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"},
-    {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"},
-]
-
-[package.dependencies]
-exceptiongroup = "*"
-typing_extensions = ">=4.12.2,<5"
-
 [[package]]
 name = "tiktoken"
 version = "0.7.0"
@@ -3260,7 +3148,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
+groups = ["dev"]
 markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
@@ -3371,11 +3259,30 @@ files = [
 ]
 
 [package.dependencies]
+"backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""}
 tzdata = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
 
+[[package]]
+name = "urllib3"
+version = "1.26.20"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "python_version < \"3.10\""
+files = [
+    {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
+    {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
+]
+
+[package.extras]
+brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+
 [[package]]
 name = "urllib3"
 version = "2.2.3"
@@ -3383,13 +3290,14 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
+markers = "python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -3398,9 +3306,10 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "uvicorn"
 version = "0.29.0"
 description = "The lightning-fast ASGI server."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -3412,7 +3321,7 @@ h11 = ">=0.8"
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -3564,21 +3473,6 @@ files = [
     {file = "websockets-13.1.tar.gz", hash = "sha256:a3b3366087c1bc0a2795111edcadddb8b3b59509d5db5d7ea3fdd69f954a8878"},
 ]
 
-[[package]]
-name = "wsproto"
-version = "1.2.0"
-description = "WebSockets state-machine based protocol implementation"
-optional = false
-python-versions = ">=3.7.0"
-groups = ["main"]
-files = [
-    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
-    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
-]
-
-[package.dependencies]
-h11 = ">=0.9.0,<1"
-
 [[package]]
 name = "yarl"
 version = "1.15.2"
@@ -3705,11 +3599,11 @@ files = [
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -3718,5 +3612,5 @@ proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi",
 
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.10,<4.0"
-content-hash = "56260c4dea3b139d8674043a1df5e4102cbf6d021bcc41f1fb39368cbc53fcc8"
+python-versions = ">=3.8.1,<4.0, !=3.9.7"
+content-hash = "55078af47c1af79bd3ebadacb7ba92844d550a577bb0c49f5096693701ea4322"
diff --git a/pyproject.toml b/pyproject.toml
index 4b31ce80a1..58fd5a7ded 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,7 @@ documentation = "https://docs.litellm.ai"
 Documentation = "https://docs.litellm.ai"
 
 [tool.poetry.dependencies]
-python = ">=3.10,<4.0"
+python = ">=3.8.1,<4.0, !=3.9.7"
 httpx = ">=0.23.0"
 openai = ">=1.66.1"
 python-dotenv = ">=0.2.0"
@@ -53,9 +53,6 @@ resend = {version = "^0.8.0", optional = true}
 pynacl = {version = "^1.5.0", optional = true}
 websockets = {version = "^13.1.0", optional = true}
 boto3 = {version = "1.34.34", optional = true}
-respx = "^0.22.0"
-mcp = "^1.5.0"
-hypercorn = "^0.17.3"
 
 [tool.poetry.extras]
 proxy = [
diff --git a/tests/litellm/rerank_api/test_rerank_main.py b/tests/litellm/rerank_api/test_rerank_main.py
index a908293826..d3051b81f9 100644
--- a/tests/litellm/rerank_api/test_rerank_main.py
+++ b/tests/litellm/rerank_api/test_rerank_main.py
@@ -13,7 +13,7 @@ from unittest.mock import MagicMock, patch
 from litellm import rerank
 from litellm.llms.custom_httpx.http_handler import HTTPHandler
 
-@pytest.mark.skip(reason="This test requires a valid rerank API key")
+
 def test_rerank_infer_region_from_model_arn(monkeypatch):
     mock_response = MagicMock()
 
diff --git a/tests/litellm/router_strategy/test_base_routing_strategy.py b/tests/litellm/router_strategy/test_base_routing_strategy.py
index faa6c40c57..b47a2f1c90 100644
--- a/tests/litellm/router_strategy/test_base_routing_strategy.py
+++ b/tests/litellm/router_strategy/test_base_routing_strategy.py
@@ -19,7 +19,7 @@ from litellm.router_strategy.base_routing_strategy import BaseRoutingStrategy
 
 
 @pytest.fixture
-async def mock_dual_cache():
+def mock_dual_cache():
     dual_cache = MagicMock(spec=DualCache)
     dual_cache.in_memory_cache = MagicMock()
     dual_cache.redis_cache = MagicMock()

From e7181395ffb5c705ce444b7269d2992875aaec9e Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 10:32:15 -0700
Subject: [PATCH 152/244] fix code quality check

---
 litellm/llms/xai/common_utils.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/llms/xai/common_utils.py b/litellm/llms/xai/common_utils.py
index fdf2edbfa3..d7ceeadd95 100644
--- a/litellm/llms/xai/common_utils.py
+++ b/litellm/llms/xai/common_utils.py
@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import List, Optional
 
 import httpx
 
@@ -22,7 +22,7 @@ class XAIModelInfo(BaseLLMModelInfo):
 
     def get_models(
         self, api_key: Optional[str] = None, api_base: Optional[str] = None
-    ) -> list[str]:
+    ) -> List[str]:
         api_base = self.get_api_base(api_base)
         api_key = self.get_api_key(api_key)
         if api_base is None or api_key is None:

From 0865e52db356c2d37655a2bb1f9278fb509e7c27 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 12:32:04 -0700
Subject: [PATCH 153/244] =?UTF-8?q?fix(proxy=5Fserver.py):=20get=20master?=
 =?UTF-8?q?=20key=20from=20environment,=20if=20not=20set=20in=20=E2=80=A6?=
 =?UTF-8?q?=20(#9617)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* fix(proxy_server.py): get master key from environment, if not set in general settings or general settings not set at all

* test: mark flaky test

* test(test_proxy_server.py): mock prisma client

* ci: add new github workflow for testing just the mock tests

* fix: fix linting error

* ci(conftest.py): add conftest.py to isolate proxy tests

* build(pyproject.toml): add respx to dev dependencies

* build(pyproject.toml): add prisma to dev dependencies

* test: fix mock prompt management tests to use a mock anthropic key

* ci(test-litellm.yml): parallelize mock testing

make it run faster

* build(pyproject.toml): add hypercorn as dev dep

* build(pyproject.toml): separate proxy vs. core dev dependencies

make it easier for non-proxy contributors to run tests locally - e.g. no need to install hypercorn

* ci(test-litellm.yml): pin python version

* test(test_rerank.py): move test - cannot be mocked, requires aws credentials for e2e testing

* ci: add thank you message to ci

* test: add mock env var to test

* test: add autouse to tests

* test: test mock env vars for e2e tests
---
 .github/workflows/test-litellm.yml            |  35 ++
 Makefile                                      |   3 +
 litellm/llms/xai/common_utils.py              |   4 +-
 litellm/proxy/proxy_server.py                 |   2 +
 poetry.lock                                   | 444 +++++++++---------
 pyproject.toml                                |   5 +
 tests/litellm/conftest.py                     |  63 +++
 .../test_custom_prompt_management.py          |   7 +-
 .../test_spend_management_endpoints.py        |   7 +-
 tests/litellm/proxy/test_proxy_server.py      |  90 ++++
 tests/litellm/rerank_api/test_rerank_main.py  |  51 --
 tests/litellm/test_main.py                    |  12 +-
 tests/llm_translation/test_cohere.py          |   1 +
 tests/llm_translation/test_rerank.py          |  39 ++
 14 files changed, 479 insertions(+), 284 deletions(-)
 create mode 100644 .github/workflows/test-litellm.yml
 create mode 100644 tests/litellm/conftest.py
 delete mode 100644 tests/litellm/rerank_api/test_rerank_main.py

diff --git a/.github/workflows/test-litellm.yml b/.github/workflows/test-litellm.yml
new file mode 100644
index 0000000000..09de0ff110
--- /dev/null
+++ b/.github/workflows/test-litellm.yml
@@ -0,0 +1,35 @@
+name: LiteLLM Tests
+
+on:
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Thank You Message
+      run: |
+        echo "### 🙏 Thank you for contributing to LiteLLM!" >> $GITHUB_STEP_SUMMARY
+        echo "Your PR is being tested now. We appreciate your help in making LiteLLM better!" >> $GITHUB_STEP_SUMMARY
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.12'
+
+    - name: Install Poetry
+      uses: snok/install-poetry@v1
+
+    - name: Install dependencies
+      run: |
+        poetry install --with dev,proxy-dev --extras proxy
+        poetry run pip install pytest-xdist
+
+    - name: Run tests
+      run: |
+        poetry run pytest tests/litellm -x -vv -n 4 
\ No newline at end of file
diff --git a/Makefile b/Makefile
index 6c231d3cc2..a06509312d 100644
--- a/Makefile
+++ b/Makefile
@@ -14,6 +14,9 @@ help:
 install-dev:
 	poetry install --with dev
 
+install-proxy-dev:
+	poetry install --with dev,proxy-dev
+
 lint: install-dev
 	poetry run pip install types-requests types-setuptools types-redis types-PyYAML
 	cd litellm && poetry run mypy . --ignore-missing-imports
diff --git a/litellm/llms/xai/common_utils.py b/litellm/llms/xai/common_utils.py
index fdf2edbfa3..d7ceeadd95 100644
--- a/litellm/llms/xai/common_utils.py
+++ b/litellm/llms/xai/common_utils.py
@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import List, Optional
 
 import httpx
 
@@ -22,7 +22,7 @@ class XAIModelInfo(BaseLLMModelInfo):
 
     def get_models(
         self, api_key: Optional[str] = None, api_base: Optional[str] = None
-    ) -> list[str]:
+    ) -> List[str]:
         api_base = self.get_api_base(api_base)
         api_key = self.get_api_key(api_key)
         if api_base is None or api_key is None:
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index df295c3697..c60cc1378e 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -462,6 +462,8 @@ async def proxy_startup_event(app: FastAPI):
     if premium_user is False:
         premium_user = _license_check.is_premium()
 
+    ## CHECK MASTER KEY IN ENVIRONMENT ##
+    master_key = get_secret_str("LITELLM_MASTER_KEY")
     ### LOAD CONFIG ###
     worker_config: Optional[Union[str, dict]] = get_secret("WORKER_CONFIG")  # type: ignore
     env_config_yaml: Optional[str] = get_secret_str("CONFIG_FILE_PATH")
diff --git a/poetry.lock b/poetry.lock
index 9273f91acc..64e8eaa8ff 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -6,7 +6,6 @@ version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
     {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -18,7 +17,6 @@ version = "3.10.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5077b1a5f40ffa3ba1f40d537d3bec4383988ee51fbba6b74aa8fb1bc466599e"},
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d6a14a4d93b5b3c2891fca94fa9d41b2322a68194422bef0dd5ec1e57d7d298"},
@@ -131,7 +129,6 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -146,7 +143,6 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -161,7 +157,6 @@ version = "4.5.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"},
     {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"},
@@ -184,8 +179,6 @@ version = "3.11.0"
 description = "In-process task scheduler with Cron-like capabilities"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "APScheduler-3.11.0-py3-none-any.whl", hash = "sha256:fc134ca32e50f5eadcc4938e3a4545ab19131435e851abb40b34d63d5141c6da"},
     {file = "apscheduler-3.11.0.tar.gz", hash = "sha256:4c622d250b0955a65d5d0eb91c33e6d43fd879834bf541e0a18661ae60460133"},
@@ -214,8 +207,6 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_full_version < \"3.11.3\" and (extra == \"extra-proxy\" or extra == \"proxy\" or python_version < \"3.11\")"
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -227,7 +218,6 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
@@ -247,8 +237,6 @@ version = "1.32.0"
 description = "Microsoft Azure Core Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_core-1.32.0-py3-none-any.whl", hash = "sha256:eac191a0efb23bfa83fddf321b27b122b4ec847befa3091fa736a5c32c50d7b4"},
     {file = "azure_core-1.32.0.tar.gz", hash = "sha256:22b3c35d6b2dae14990f6c1be2912bf23ffe50b220e708a28ab1bb92b1c730e5"},
@@ -268,8 +256,6 @@ version = "1.21.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_identity-1.21.0-py3-none-any.whl", hash = "sha256:258ea6325537352440f71b35c3dffe9d240eae4a5126c1b7ce5efd5766bd9fd9"},
     {file = "azure_identity-1.21.0.tar.gz", hash = "sha256:ea22ce6e6b0f429bc1b8d9212d5b9f9877bd4c82f1724bfa910760612c07a9a6"},
@@ -288,8 +274,6 @@ version = "4.9.0"
 description = "Microsoft Azure Key Vault Secrets Client Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_keyvault_secrets-4.9.0-py3-none-any.whl", hash = "sha256:33c7e2aca2cc2092cebc8c6e96eca36a5cc30c767e16ea429c5fa21270e9fba6"},
     {file = "azure_keyvault_secrets-4.9.0.tar.gz", hash = "sha256:2a03bb2ffd9a0d6c8ad1c330d9d0310113985a9de06607ece378fd72a5889fe1"},
@@ -306,8 +290,6 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = true
 python-versions = ">=3.7,<4.0"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -319,8 +301,6 @@ version = "0.2.1"
 description = "Backport of the standard library zoneinfo module"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\" and python_version < \"3.9\""
 files = [
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"},
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"},
@@ -349,7 +329,6 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -396,8 +375,6 @@ version = "1.34.34"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">= 3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "boto3-1.34.34-py3-none-any.whl", hash = "sha256:33a8b6d9136fa7427160edb92d2e50f2035f04e9d63a2d1027349053e12626aa"},
     {file = "boto3-1.34.34.tar.gz", hash = "sha256:b2f321e20966f021ec800b7f2c01287a3dd04fc5965acdfbaa9c505a24ca45d1"},
@@ -417,8 +394,6 @@ version = "1.34.162"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "botocore-1.34.162-py3-none-any.whl", hash = "sha256:2d918b02db88d27a75b48275e6fb2506e9adaaddbec1ffa6a8a0898b34e769be"},
     {file = "botocore-1.34.162.tar.gz", hash = "sha256:adc23be4fb99ad31961236342b7cbf3c0bfc62532cd02852196032e8c0d682f3"},
@@ -428,8 +403,8 @@ files = [
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
@@ -441,8 +416,6 @@ version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
     {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
@@ -454,7 +427,6 @@ version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
     {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
@@ -466,8 +438,6 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -547,7 +517,6 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -649,7 +618,6 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -664,12 +632,10 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main", "dev"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""}
 
 [[package]]
 name = "coloredlogs"
@@ -677,8 +643,6 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -696,8 +660,6 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\""
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -747,7 +709,6 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -759,8 +720,6 @@ version = "2.6.1"
 description = "DNS toolkit"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
     {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
@@ -781,8 +740,6 @@ version = "2.2.0"
 description = "A robust email address syntax and deliverability validation library."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
     {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
@@ -798,8 +755,6 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -814,8 +769,6 @@ version = "0.115.12"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d"},
     {file = "fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681"},
@@ -836,8 +789,6 @@ version = "0.16.0"
 description = "FastAPI plugin to enable SSO to most common providers (such as Facebook login, Google login and login via Microsoft Office 365 Account)"
 optional = true
 python-versions = "<4.0,>=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "fastapi_sso-0.16.0-py3-none-any.whl", hash = "sha256:3a66a942474ef9756d3a9d8b945d55bd9faf99781facdb9b87a40b73d6d6b0c3"},
     {file = "fastapi_sso-0.16.0.tar.gz", hash = "sha256:f3941f986347566b7d3747c710cf474a907f581bfb6697ff3bb3e44eb76b438c"},
@@ -856,7 +807,6 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -873,7 +823,6 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
-groups = ["dev"]
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -890,7 +839,6 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -992,7 +940,6 @@ version = "2025.3.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"},
     {file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"},
@@ -1032,8 +979,6 @@ version = "2.24.2"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_api_core-2.24.2-py3-none-any.whl", hash = "sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9"},
     {file = "google_api_core-2.24.2.tar.gz", hash = "sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696"},
@@ -1043,12 +988,12 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
     {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
@@ -1069,8 +1014,6 @@ version = "2.38.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"},
     {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"},
@@ -1095,8 +1038,6 @@ version = "2.24.2"
 description = "Google Cloud Kms API client library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_cloud_kms-2.24.2-py2.py3-none-any.whl", hash = "sha256:368209b035dfac691a467c1cf50986d8b1b26cac1166bdfbaa25d738df91ff7b"},
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@@ -1115,8 +1056,6 @@ version = "1.69.2"
 description = "Common protobufs used in Google APIs"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1135,8 +1074,6 @@ version = "0.14.2"
 description = "IAM API client library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1153,8 +1090,6 @@ version = "1.70.0"
 description = "HTTP/2-based RPC framework"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1216,14 +1151,75 @@ files = [
 [package.extras]
 protobuf = ["grpcio-tools (>=1.70.0)"]
 
+[[package]]
+name = "grpcio"
+version = "1.71.0"
+description = "HTTP/2-based RPC framework"
+optional = true
+python-versions = ">=3.9"
+files = [
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+    {file = "grpcio-1.71.0-cp39-cp39-win_amd64.whl", hash = "sha256:63e41b91032f298b3e973b3fa4093cbbc620c875e2da7b93e249d4728b54559a"},
+    {file = "grpcio-1.71.0.tar.gz", hash = "sha256:2b85f7820475ad3edec209d3d89a7909ada16caab05d3f2e08a7e8ae3200a55c"},
+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.71.0)"]
+
 [[package]]
 name = "grpcio-status"
 version = "1.70.0"
 description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "grpcio_status-1.70.0-py3-none-any.whl", hash = "sha256:fc5a2ae2b9b1c1969cc49f3262676e6854aa2398ec69cb5bd6c47cd501904a85"},
     {file = "grpcio_status-1.70.0.tar.gz", hash = "sha256:0e7b42816512433b18b9d764285ff029bde059e9d41f8fe10a60631bd8348101"},
@@ -1234,14 +1230,28 @@ googleapis-common-protos = ">=1.5.5"
 grpcio = ">=1.70.0"
 protobuf = ">=5.26.1,<6.0dev"
 
+[[package]]
+name = "grpcio-status"
+version = "1.71.0"
+description = "Status proto mapping for gRPC"
+optional = true
+python-versions = ">=3.9"
+files = [
+    {file = "grpcio_status-1.71.0-py3-none-any.whl", hash = "sha256:843934ef8c09e3e858952887467f8256aac3910c55f077a359a65b2b3cde3e68"},
+    {file = "grpcio_status-1.71.0.tar.gz", hash = "sha256:11405fed67b68f406b3f3c7c5ae5104a79d2d309666d10d61b152e91d28fb968"},
+]
+
+[package.dependencies]
+googleapis-common-protos = ">=1.5.5"
+grpcio = ">=1.71.0"
+protobuf = ">=5.26.1,<6.0dev"
+
 [[package]]
 name = "gunicorn"
 version = "23.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
     {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
@@ -1263,19 +1273,43 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "h2"
+version = "4.1.0"
+description = "HTTP/2 State-Machine based protocol implementation"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
+    {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
+]
+
+[package.dependencies]
+hpack = ">=4.0,<5"
+hyperframe = ">=6.0,<7"
+
+[[package]]
+name = "hpack"
+version = "4.0.0"
+description = "Pure-Python HPACK header compression"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
+    {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
     {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -1297,7 +1331,6 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1322,8 +1355,6 @@ version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
@@ -1335,7 +1366,6 @@ version = "0.29.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main"]
 files = [
     {file = "huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa"},
     {file = "huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5"},
@@ -1370,8 +1400,6 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1380,13 +1408,48 @@ files = [
 [package.dependencies]
 pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
+[[package]]
+name = "hypercorn"
+version = "0.15.0"
+description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "hypercorn-0.15.0-py3-none-any.whl", hash = "sha256:5008944999612fd188d7a1ca02e89d20065642b89503020ac392dfed11840730"},
+    {file = "hypercorn-0.15.0.tar.gz", hash = "sha256:d517f68d5dc7afa9a9d50ecefb0f769f466ebe8c1c18d2c2f447a24e763c9a63"},
+]
+
+[package.dependencies]
+h11 = "*"
+h2 = ">=3.1.0"
+priority = "*"
+taskgroup = {version = "*", markers = "python_version < \"3.11\""}
+tomli = {version = "*", markers = "python_version < \"3.11\""}
+wsproto = ">=0.14.0"
+
+[package.extras]
+docs = ["pydata_sphinx_theme", "sphinxcontrib_mermaid"]
+h3 = ["aioquic (>=0.9.0,<1.0)"]
+trio = ["exceptiongroup (>=1.1.0)", "trio (>=0.22.0)"]
+uvloop = ["uvloop"]
+
+[[package]]
+name = "hyperframe"
+version = "6.0.1"
+description = "HTTP/2 framing layer for Python"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
+    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1401,7 +1464,6 @@ version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
     {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
@@ -1425,8 +1487,6 @@ version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version < \"3.9\""
 files = [
     {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
     {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
@@ -1449,7 +1509,6 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -1461,8 +1520,6 @@ version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
     {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
@@ -1474,7 +1531,6 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1492,7 +1548,6 @@ version = "0.9.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jiter-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:816ec9b60fdfd1fec87da1d7ed46c66c44ffec37ab2ef7de5b147b2fce3fd5ad"},
     {file = "jiter-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b1d3086f8a3ee0194ecf2008cf81286a5c3e540d977fa038ff23576c023c0ea"},
@@ -1578,8 +1633,6 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -1591,7 +1644,6 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1615,7 +1667,6 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -1631,7 +1682,6 @@ version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1701,7 +1751,6 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1713,8 +1762,6 @@ version = "1.5.0"
 description = "Model Context Protocol SDK"
 optional = true
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "mcp-1.5.0-py3-none-any.whl", hash = "sha256:51c3f35ce93cb702f7513c12406bbea9665ef75a08db909200b07da9db641527"},
     {file = "mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9"},
@@ -1741,8 +1788,6 @@ version = "0.4.1"
 description = ""
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "ml_dtypes-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1fe8b5b5e70cd67211db94b05cfd58dace592f24489b038dc6f9fe347d2e07d5"},
     {file = "ml_dtypes-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c09a6d11d8475c2a9fd2bc0695628aec105f97cab3b3a3fb7c9660348ff7d24"},
@@ -1765,10 +1810,10 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
-    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
     {version = ">1.20", markers = "python_version < \"3.10\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 
 [package.extras]
@@ -1780,8 +1825,6 @@ version = "1.32.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "msal-1.32.0-py3-none-any.whl", hash = "sha256:9dbac5384a10bbbf4dae5c7ea0d707d14e087b92c5aa4954b3feaa2d1aa0bcb7"},
     {file = "msal-1.32.0.tar.gz", hash = "sha256:5445fe3af1da6be484991a7ab32eaa82461dc2347de105b76af92c610c3335c2"},
@@ -1801,8 +1844,6 @@ version = "1.3.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "msal_extensions-1.3.0-py3-none-any.whl", hash = "sha256:105328ddcbdd342016c9949d8f89e3917554740c8ab26669c0fa0e069e730a0e"},
     {file = "msal_extensions-1.3.0.tar.gz", hash = "sha256:96918996642b38c78cd59b55efa0f06fd1373c90e0949be8615697c048fba62c"},
@@ -1820,7 +1861,6 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -1925,7 +1965,6 @@ version = "1.14.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "mypy-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52686e37cf13d559f668aa398dd7ddf1f92c5d613e4f8cb262be2fb4fedb0fcb"},
     {file = "mypy-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1fb545ca340537d4b45d3eecdb3def05e913299ca72c290326be19b3804b39c0"},
@@ -1985,7 +2024,6 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
-groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1995,10 +2033,8 @@ files = [
 name = "nodeenv"
 version = "1.9.1"
 description = "Node.js virtual environment builder"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
@@ -2010,8 +2046,6 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.12\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -2057,8 +2091,6 @@ version = "2.2.4"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version >= \"3.12\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "numpy-2.2.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8146f3550d627252269ac42ae660281d673eb6f8b32f113538e0cc2a9aed42b9"},
     {file = "numpy-2.2.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e642d86b8f956098b564a45e6f6ce68a22c2c97a04f5acd3f221f57b8cb850ae"},
@@ -2123,8 +2155,6 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -2137,14 +2167,13 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "openai"
-version = "1.68.2"
+version = "1.69.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
-    {file = "openai-1.68.2-py3-none-any.whl", hash = "sha256:24484cb5c9a33b58576fdc5acf0e5f92603024a4e39d0b99793dfa1eb14c2b36"},
-    {file = "openai-1.68.2.tar.gz", hash = "sha256:b720f0a95a1dbe1429c0d9bb62096a0d98057bcda82516f6e8af10284bdd5b19"},
+    {file = "openai-1.69.0-py3-none-any.whl", hash = "sha256:73c4b2ddfd050060f8d93c70367189bd891e70a5adb6d69c04c3571f4fea5627"},
+    {file = "openai-1.69.0.tar.gz", hash = "sha256:7b8a10a8ff77e1ae827e5e4c8480410af2070fb68bc973d6c994cf8218f1f98d"},
 ]
 
 [package.dependencies]
@@ -2168,8 +2197,6 @@ version = "3.10.15"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"},
     {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"},
@@ -2258,7 +2285,6 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2270,7 +2296,6 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -2282,8 +2307,6 @@ version = "1.3.10"
 description = "Resolve a name to an object."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version < \"3.9\""
 files = [
     {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
     {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
@@ -2295,7 +2318,6 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -2312,7 +2334,6 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2322,14 +2343,23 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "priority"
+version = "2.0.0"
+description = "A pure-Python implementation of the HTTP/2 priority tree"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
+    {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
+]
+
 [[package]]
 name = "prisma"
 version = "0.11.0"
 description = "Prisma Client Python is an auto-generated and fully type-safe database client"
-optional = true
+optional = false
 python-versions = ">=3.7.0"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "prisma-0.11.0-py3-none-any.whl", hash = "sha256:22bb869e59a2968b99f3483bb417717273ffbc569fd1e9ceed95e5614cbaf53a"},
     {file = "prisma-0.11.0.tar.gz", hash = "sha256:3f2f2fd2361e1ec5ff655f2a04c7860c2f2a5bc4c91f78ca9c5c6349735bf693"},
@@ -2355,7 +2385,6 @@ version = "0.2.0"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
@@ -2463,8 +2492,6 @@ version = "1.26.1"
 description = "Beautiful, Pythonic protocol buffers"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "proto_plus-1.26.1-py3-none-any.whl", hash = "sha256:13285478c2dcf2abb829db158e1047e2f1e8d63a077d94263c2b88b043c75a66"},
     {file = "proto_plus-1.26.1.tar.gz", hash = "sha256:21a515a4c4c0088a773899e23c7bbade3d18f9c66c73edd4c7ee3816bc96a012"},
@@ -2482,8 +2509,6 @@ version = "5.29.4"
 description = ""
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "protobuf-5.29.4-cp310-abi3-win32.whl", hash = "sha256:13eb236f8eb9ec34e63fc8b1d6efd2777d062fa6aaa68268fb67cf77f6839ad7"},
     {file = "protobuf-5.29.4-cp310-abi3-win_amd64.whl", hash = "sha256:bcefcdf3976233f8a502d265eb65ea740c989bacc6c30a58290ed0e519eb4b8d"},
@@ -2504,8 +2529,6 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -2513,19 +2536,17 @@ files = [
 
 [[package]]
 name = "pyasn1-modules"
-version = "0.4.1"
+version = "0.4.2"
 description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
-    {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
-    {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
+    {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
+    {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
 ]
 
 [package.dependencies]
-pyasn1 = ">=0.4.6,<0.7.0"
+pyasn1 = ">=0.6.1,<0.7.0"
 
 [[package]]
 name = "pycodestyle"
@@ -2533,7 +2554,6 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2545,8 +2565,6 @@ version = "2.22"
 description = "C parser in Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2558,7 +2576,6 @@ version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"},
     {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"},
@@ -2580,7 +2597,6 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"},
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"},
@@ -2693,8 +2709,6 @@ version = "2.8.1"
 description = "Settings management using Pydantic"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "pydantic_settings-2.8.1-py3-none-any.whl", hash = "sha256:81942d5ac3d905f7f3ee1a70df5dfb62d5569c12f51a5a647defc1c3d9ee2e9c"},
     {file = "pydantic_settings-2.8.1.tar.gz", hash = "sha256:d5c663dfbe9db9d5e1c646b2e161da12f0d734d422ee56f567d0ea2cee4e8585"},
@@ -2715,7 +2729,6 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -2727,8 +2740,6 @@ version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\""
 files = [
     {file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"},
     {file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"},
@@ -2749,8 +2760,6 @@ version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "PyNaCl-1.5.0-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:401002a4aaa07c9414132aaed7f6836ff98f59277a234704ff66878c2ee4a0d1"},
     {file = "PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:52cb72a79269189d4e0dc537556f4740f7f0a9ec41c1322598799b0bdad4ef92"},
@@ -2777,8 +2786,6 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and sys_platform == \"win32\" and python_version < \"3.14\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -2793,7 +2800,6 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -2816,7 +2822,6 @@ version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
     {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
@@ -2835,7 +2840,6 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
     {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
@@ -2853,8 +2857,6 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -2869,7 +2871,6 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -2884,8 +2885,6 @@ version = "0.0.18"
 description = "A streaming multipart parser for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "python_multipart-0.0.18-py3-none-any.whl", hash = "sha256:efe91480f485f6a361427a541db4796f9e1591afc0fb8e7a4ba06bfbc6708996"},
     {file = "python_multipart-0.0.18.tar.gz", hash = "sha256:7a68db60c8bfb82e460637fa4750727b45af1d5e2ed215593f917f64694d34fe"},
@@ -2897,8 +2896,6 @@ version = "3.0.0"
 description = "Universally unique lexicographically sortable identifier"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "python_ulid-3.0.0-py3-none-any.whl", hash = "sha256:e4c4942ff50dbd79167ad01ac725ec58f924b4018025ce22c858bfcff99a5e31"},
     {file = "python_ulid-3.0.0.tar.gz", hash = "sha256:e50296a47dc8209d28629a22fc81ca26c00982c78934bd7766377ba37ea49a9f"},
@@ -2913,7 +2910,6 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -2976,8 +2972,6 @@ version = "5.2.1"
 description = "Python client for Redis database and key-value store"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\" or extra == \"proxy\""
 files = [
     {file = "redis-5.2.1-py3-none-any.whl", hash = "sha256:ee7e1056b9aea0f04c6c2ed59452947f34c4940ee025f5dd83e6a6418b6989e4"},
     {file = "redis-5.2.1.tar.gz", hash = "sha256:16f2e22dff21d5125e8481515e386711a34cbec50f0e44413dd7d9c060a54e0f"},
@@ -2996,8 +2990,6 @@ version = "0.4.1"
 description = "Python client library and CLI for using Redis as a vector database"
 optional = true
 python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "redisvl-0.4.1-py3-none-any.whl", hash = "sha256:6db5d5bc95b1fe8032a1cdae74ce1c65bc7fe9054e5429b5d34d5a91d28bae5f"},
     {file = "redisvl-0.4.1.tar.gz", hash = "sha256:fd6a36426ba94792c0efca20915c31232d4ee3cc58eb23794a62c142696401e6"},
@@ -3032,7 +3024,6 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -3048,7 +3039,6 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -3152,7 +3142,6 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -3174,8 +3163,6 @@ version = "0.8.0"
 description = "Resend Python SDK"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "resend-0.8.0-py2.py3-none-any.whl", hash = "sha256:adc1515dadf4f4fc6b90db55a237f0f37fc56fd74287a986519a8a187fdb661d"},
     {file = "resend-0.8.0.tar.gz", hash = "sha256:94142394701724dbcfcd8f760f675c662a1025013e741dd7cc773ca885526257"},
@@ -3184,13 +3171,26 @@ files = [
 [package.dependencies]
 requests = "2.31.0"
 
+[[package]]
+name = "respx"
+version = "0.20.2"
+description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "respx-0.20.2-py2.py3-none-any.whl", hash = "sha256:ab8e1cf6da28a5b2dd883ea617f8130f77f676736e6e9e4a25817ad116a172c9"},
+    {file = "respx-0.20.2.tar.gz", hash = "sha256:07cf4108b1c88b82010f67d3c831dae33a375c7b436e54d87737c7f9f99be643"},
+]
+
+[package.dependencies]
+httpx = ">=0.21.0"
+
 [[package]]
 name = "rpds-py"
 version = "0.20.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"},
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"},
@@ -3303,8 +3303,6 @@ version = "2.2.0"
 description = "RQ is a simple, lightweight, library for creating background jobs, and processing them."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "rq-2.2.0-py3-none-any.whl", hash = "sha256:dacbfe1ccb79a45c8cd95dec7951620679fa0195570b63da3f9347622d33accc"},
     {file = "rq-2.2.0.tar.gz", hash = "sha256:b636760f1e4c183022031c142faa0483e687885824e9732ba2953f994104e203"},
@@ -3320,8 +3318,6 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = true
 python-versions = ">=3.6,<4"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -3336,8 +3332,6 @@ version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"},
     {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
@@ -3355,8 +3349,6 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\" or extra == \"proxy\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -3368,7 +3360,6 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3380,8 +3371,6 @@ version = "2.1.3"
 description = "SSE plugin for Starlette"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"},
     {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"},
@@ -3401,8 +3390,6 @@ version = "0.44.0"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "starlette-0.44.0-py3-none-any.whl", hash = "sha256:19edeb75844c16dcd4f9dd72f22f9108c1539f3fc9c4c88885654fef64f85aea"},
     {file = "starlette-0.44.0.tar.gz", hash = "sha256:e35166950a3ccccc701962fe0711db0bc14f2ecd37c6f9fe5e3eae0cbaea8715"},
@@ -3421,8 +3408,6 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -3431,14 +3416,27 @@ files = [
 [package.extras]
 widechars = ["wcwidth"]
 
+[[package]]
+name = "taskgroup"
+version = "0.2.2"
+description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout"
+optional = false
+python-versions = "*"
+files = [
+    {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"},
+    {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"},
+]
+
+[package.dependencies]
+exceptiongroup = "*"
+typing_extensions = ">=4.12.2,<5"
+
 [[package]]
 name = "tenacity"
 version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
     {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
@@ -3454,7 +3452,6 @@ version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
@@ -3507,7 +3504,6 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -3540,8 +3536,6 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -3581,10 +3575,8 @@ files = [
 name = "tomlkit"
 version = "0.13.2"
 description = "Style preserving TOML library"
-optional = true
+optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
     {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
@@ -3596,7 +3588,6 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -3614,14 +3605,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
+version = "4.13.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+    {file = "typing_extensions-4.13.0-py3-none-any.whl", hash = "sha256:c8dd92cc0d6425a97c18fbb9d1954e5ff92c1ca881a309c45f06ebc0b79058e5"},
+    {file = "typing_extensions-4.13.0.tar.gz", hash = "sha256:0a4ac55a5820789d87e297727d229866c9650f6521b64206413c4fbada24d95b"},
 ]
 
 [[package]]
@@ -3630,8 +3620,6 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
-groups = ["main"]
-markers = "extra == \"proxy\" and platform_system == \"Windows\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -3643,8 +3631,6 @@ version = "5.2"
 description = "tzinfo object for the local timezone"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
     {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
@@ -3663,8 +3649,6 @@ version = "1.26.20"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
-groups = ["main"]
-markers = "python_version < \"3.10\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
@@ -3681,8 +3665,6 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
@@ -3700,8 +3682,6 @@ version = "0.29.0"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -3721,8 +3701,6 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -3774,8 +3752,6 @@ version = "13.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f48c749857f8fb598fb890a75f540e3221d0976ed0bf879cf3c7eef34151acee"},
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c7e72ce6bda6fb9409cc1e8164dd41d7c91466fb599eb047cfda72fe758a34a7"},
@@ -3865,13 +3841,26 @@ files = [
     {file = "websockets-13.1.tar.gz", hash = "sha256:a3b3366087c1bc0a2795111edcadddb8b3b59509d5db5d7ea3fdd69f954a8878"},
 ]
 
+[[package]]
+name = "wsproto"
+version = "1.2.0"
+description = "WebSockets state-machine based protocol implementation"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
+    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
+]
+
+[package.dependencies]
+h11 = ">=0.9.0,<1"
+
 [[package]]
 name = "yarl"
 version = "1.15.2"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e4ee8b8639070ff246ad3649294336b06db37a94bdea0d09ea491603e0be73b8"},
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a7cf963a357c5f00cb55b1955df8bbe68d2f2f65de065160a1c26b85a1e44172"},
@@ -3984,7 +3973,6 @@ version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
@@ -4003,6 +3991,6 @@ extra-proxy = ["azure-identity", "azure-keyvault-secrets", "google-cloud-kms", "
 proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi", "fastapi-sso", "gunicorn", "mcp", "orjson", "pynacl", "python-multipart", "pyyaml", "rq", "uvicorn", "uvloop", "websockets"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "9c863b11189227a035a9130c8872de44fe7c5e1e32b47569a56af86e3f6570c5"
+content-hash = "0f195796116a7c7a4a04d9958a7662d74baccb5266f531bb58a4403fd4db4e0e"
diff --git a/pyproject.toml b/pyproject.toml
index c3b0fd3224..325bf8b4e7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -99,6 +99,11 @@ mypy = "^1.0"
 pytest = "^7.4.3"
 pytest-mock = "^3.12.0"
 pytest-asyncio = "^0.21.1"
+respx = "^0.20.2"
+
+[tool.poetry.group.proxy-dev.dependencies]
+prisma = "0.11.0"
+hypercorn = "^0.15.0"
 
 [build-system]
 requires = ["poetry-core", "wheel"]
diff --git a/tests/litellm/conftest.py b/tests/litellm/conftest.py
new file mode 100644
index 0000000000..b3561d8a62
--- /dev/null
+++ b/tests/litellm/conftest.py
@@ -0,0 +1,63 @@
+# conftest.py
+
+import importlib
+import os
+import sys
+
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import litellm
+
+
+@pytest.fixture(scope="function", autouse=True)
+def setup_and_teardown():
+    """
+    This fixture reloads litellm before every function. To speed up testing by removing callbacks being chained.
+    """
+    curr_dir = os.getcwd()  # Get the current working directory
+    sys.path.insert(
+        0, os.path.abspath("../..")
+    )  # Adds the project directory to the system path
+
+    import litellm
+    from litellm import Router
+
+    importlib.reload(litellm)
+
+    try:
+        if hasattr(litellm, "proxy") and hasattr(litellm.proxy, "proxy_server"):
+            import litellm.proxy.proxy_server
+
+            importlib.reload(litellm.proxy.proxy_server)
+    except Exception as e:
+        print(f"Error reloading litellm.proxy.proxy_server: {e}")
+
+    import asyncio
+
+    loop = asyncio.get_event_loop_policy().new_event_loop()
+    asyncio.set_event_loop(loop)
+    print(litellm)
+    # from litellm import Router, completion, aembedding, acompletion, embedding
+    yield
+
+    # Teardown code (executes after the yield point)
+    loop.close()  # Close the loop created earlier
+    asyncio.set_event_loop(None)  # Remove the reference to the loop
+
+
+def pytest_collection_modifyitems(config, items):
+    # Separate tests in 'test_amazing_proxy_custom_logger.py' and other tests
+    custom_logger_tests = [
+        item for item in items if "custom_logger" in item.parent.name
+    ]
+    other_tests = [item for item in items if "custom_logger" not in item.parent.name]
+
+    # Sort tests based on their names
+    custom_logger_tests.sort(key=lambda x: x.name)
+    other_tests.sort(key=lambda x: x.name)
+
+    # Reorder the items list
+    items[:] = custom_logger_tests + other_tests
diff --git a/tests/litellm/integrations/test_custom_prompt_management.py b/tests/litellm/integrations/test_custom_prompt_management.py
index 00dc6fe96f..646b222e72 100644
--- a/tests/litellm/integrations/test_custom_prompt_management.py
+++ b/tests/litellm/integrations/test_custom_prompt_management.py
@@ -19,6 +19,11 @@ from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import StandardCallbackDynamicParams
 
 
+@pytest.fixture(autouse=True)
+def setup_anthropic_api_key(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-some-key")
+
+
 class TestCustomPromptManagement(CustomPromptManagement):
     def get_chat_completion_prompt(
         self,
@@ -50,7 +55,7 @@ class TestCustomPromptManagement(CustomPromptManagement):
 
 
 @pytest.mark.asyncio
-async def test_custom_prompt_management_with_prompt_id():
+async def test_custom_prompt_management_with_prompt_id(monkeypatch):
     custom_prompt_management = TestCustomPromptManagement()
     litellm.callbacks = [custom_prompt_management]
 
diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index a5ee9ddf70..609fbbcc52 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -26,6 +26,11 @@ def client():
     return TestClient(app)
 
 
+@pytest.fixture(autouse=True)
+def add_anthropic_api_key_to_env(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-1234567890")
+
+
 @pytest.mark.asyncio
 async def test_ui_view_spend_logs_with_user_id(client, monkeypatch):
     # Mock data for the test
@@ -500,7 +505,7 @@ class TestSpendLogsPayload:
         return mock_response
 
     @pytest.mark.asyncio
-    async def test_spend_logs_payload_success_log_with_api_base(self):
+    async def test_spend_logs_payload_success_log_with_api_base(self, monkeypatch):
         from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
 
         litellm.callbacks = [_ProxyDBLogger(message_logging=False)]
diff --git a/tests/litellm/proxy/test_proxy_server.py b/tests/litellm/proxy/test_proxy_server.py
index 77b521e836..c1e935addd 100644
--- a/tests/litellm/proxy/test_proxy_server.py
+++ b/tests/litellm/proxy/test_proxy_server.py
@@ -9,6 +9,7 @@ from unittest.mock import AsyncMock, MagicMock, mock_open, patch
 import click
 import httpx
 import pytest
+import yaml
 from fastapi import FastAPI
 from fastapi.testclient import TestClient
 
@@ -74,3 +75,92 @@ async def test_initialize_scheduled_jobs_credentials(monkeypatch):
             call[0] for call in mock_proxy_config.get_credentials.mock_calls
         ]
         assert len(mock_scheduler_calls) > 0
+
+
+# Mock Prisma
+class MockPrisma:
+    def __init__(self, database_url=None, proxy_logging_obj=None, http_client=None):
+        self.database_url = database_url
+        self.proxy_logging_obj = proxy_logging_obj
+        self.http_client = http_client
+
+    async def connect(self):
+        pass
+
+    async def disconnect(self):
+        pass
+
+
+mock_prisma = MockPrisma()
+
+
+@patch(
+    "litellm.proxy.proxy_server.ProxyStartupEvent._setup_prisma_client",
+    return_value=mock_prisma,
+)
+@pytest.mark.asyncio
+async def test_aaaproxy_startup_master_key(mock_prisma, monkeypatch, tmp_path):
+    """
+    Test that master_key is correctly loaded from either config.yaml or environment variables
+    """
+    import yaml
+    from fastapi import FastAPI
+
+    # Import happens here - this is when the module probably reads the config path
+    from litellm.proxy.proxy_server import proxy_startup_event
+
+    # Mock the Prisma import
+    monkeypatch.setattr("litellm.proxy.proxy_server.PrismaClient", MockPrisma)
+
+    # Create test app
+    app = FastAPI()
+
+    # Test Case 1: Master key from config.yaml
+    test_master_key = "sk-12345"
+    test_config = {"general_settings": {"master_key": test_master_key}}
+
+    # Create a temporary config file
+    config_path = tmp_path / "config.yaml"
+    with open(config_path, "w") as f:
+        yaml.dump(test_config, f)
+
+    print(f"SET ENV VARIABLE - CONFIG_FILE_PATH, str(config_path): {str(config_path)}")
+    # Second setting of CONFIG_FILE_PATH to a different value
+    monkeypatch.setenv("CONFIG_FILE_PATH", str(config_path))
+    print(f"config_path: {config_path}")
+    print(f"os.getenv('CONFIG_FILE_PATH'): {os.getenv('CONFIG_FILE_PATH')}")
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_master_key
+
+    # Test Case 2: Master key from environment variable
+    test_env_master_key = "sk-67890"
+
+    # Create empty config
+    empty_config = {"general_settings": {}}
+    with open(config_path, "w") as f:
+        yaml.dump(empty_config, f)
+
+    monkeypatch.setenv("LITELLM_MASTER_KEY", test_env_master_key)
+    print("test_env_master_key: {}".format(test_env_master_key))
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_env_master_key
+
+    # Test Case 3: Master key with os.environ prefix
+    test_resolved_key = "sk-resolved-key"
+    test_config_with_prefix = {
+        "general_settings": {"master_key": "os.environ/CUSTOM_MASTER_KEY"}
+    }
+
+    # Create config with os.environ prefix
+    with open(config_path, "w") as f:
+        yaml.dump(test_config_with_prefix, f)
+
+    monkeypatch.setenv("CUSTOM_MASTER_KEY", test_resolved_key)
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_resolved_key
diff --git a/tests/litellm/rerank_api/test_rerank_main.py b/tests/litellm/rerank_api/test_rerank_main.py
deleted file mode 100644
index d3051b81f9..0000000000
--- a/tests/litellm/rerank_api/test_rerank_main.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import json
-import os
-import sys
-
-import pytest
-from fastapi.testclient import TestClient
-
-sys.path.insert(
-    0, os.path.abspath("../../..")
-)  # Adds the parent directory to the system path
-from unittest.mock import MagicMock, patch
-
-from litellm import rerank
-from litellm.llms.custom_httpx.http_handler import HTTPHandler
-
-
-def test_rerank_infer_region_from_model_arn(monkeypatch):
-    mock_response = MagicMock()
-
-    monkeypatch.setenv("AWS_REGION_NAME", "us-east-1")
-    args = {
-        "model": "bedrock/arn:aws:bedrock:us-west-2::foundation-model/amazon.rerank-v1:0",
-        "query": "hello",
-        "documents": ["hello", "world"],
-    }
-
-    def return_val():
-        return {
-            "results": [
-                {"index": 0, "relevanceScore": 0.6716859340667725},
-                {"index": 1, "relevanceScore": 0.0004994205664843321},
-            ]
-        }
-
-    mock_response.json = return_val
-    mock_response.headers = {"key": "value"}
-    mock_response.status_code = 200
-
-    client = HTTPHandler()
-
-    with patch.object(client, "post", return_value=mock_response) as mock_post:
-        rerank(
-            model=args["model"],
-            query=args["query"],
-            documents=args["documents"],
-            client=client,
-        )
-        mock_post.assert_called_once()
-        print(f"mock_post.call_args: {mock_post.call_args.kwargs}")
-        assert "us-west-2" in mock_post.call_args.kwargs["url"]
-        assert "us-east-1" not in mock_post.call_args.kwargs["url"]
diff --git a/tests/litellm/test_main.py b/tests/litellm/test_main.py
index 4892300eb9..99ac8514f6 100644
--- a/tests/litellm/test_main.py
+++ b/tests/litellm/test_main.py
@@ -14,6 +14,15 @@ from unittest.mock import MagicMock, patch
 import litellm
 
 
+@pytest.fixture(autouse=True)
+def add_api_keys_to_env(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-1234567890")
+    monkeypatch.setenv("OPENAI_API_KEY", "sk-openai-api03-1234567890")
+    monkeypatch.setenv("AWS_ACCESS_KEY_ID", "my-fake-aws-access-key-id")
+    monkeypatch.setenv("AWS_SECRET_ACCESS_KEY", "my-fake-aws-secret-access-key")
+    monkeypatch.setenv("AWS_REGION", "us-east-1")
+
+
 @pytest.fixture
 def openai_api_response():
     mock_response_data = {
@@ -130,7 +139,8 @@ def test_completion_missing_role(openai_api_response):
 )
 @pytest.mark.parametrize("sync_mode", [True, False])
 @pytest.mark.asyncio
-async def test_url_with_format_param(model, sync_mode):
+async def test_url_with_format_param(model, sync_mode, monkeypatch):
+
     from litellm import acompletion, completion
     from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
diff --git a/tests/llm_translation/test_cohere.py b/tests/llm_translation/test_cohere.py
index f34098477d..72df3ad436 100644
--- a/tests/llm_translation/test_cohere.py
+++ b/tests/llm_translation/test_cohere.py
@@ -22,6 +22,7 @@ litellm.num_retries = 3
 
 
 @pytest.mark.parametrize("stream", [True, False])
+@pytest.mark.flaky(retries=3, delay=1)
 @pytest.mark.asyncio
 async def test_chat_completion_cohere_citations(stream):
     try:
diff --git a/tests/llm_translation/test_rerank.py b/tests/llm_translation/test_rerank.py
index d2cb2b6fea..5de6c1a8ec 100644
--- a/tests/llm_translation/test_rerank.py
+++ b/tests/llm_translation/test_rerank.py
@@ -481,3 +481,42 @@ def test_rerank_cohere_api():
     assert response.results[0]["document"]["text"] is not None
     assert response.results[0]["document"]["text"] == "hello"
     assert response.results[1]["document"]["text"] == "world"
+
+
+def test_rerank_infer_region_from_model_arn(monkeypatch):
+
+    mock_response = MagicMock()
+
+    monkeypatch.setenv("AWS_REGION_NAME", "us-east-1")
+    args = {
+        "model": "bedrock/arn:aws:bedrock:us-west-2::foundation-model/amazon.rerank-v1:0",
+        "query": "hello",
+        "documents": ["hello", "world"],
+    }
+
+    def return_val():
+        return {
+            "results": [
+                {"index": 0, "relevanceScore": 0.6716859340667725},
+                {"index": 1, "relevanceScore": 0.0004994205664843321},
+            ]
+        }
+
+    mock_response.json = return_val
+    mock_response.headers = {"key": "value"}
+    mock_response.status_code = 200
+
+    client = HTTPHandler()
+
+    with patch.object(client, "post", return_value=mock_response) as mock_post:
+        litellm.rerank(
+            model=args["model"],
+            query=args["query"],
+            documents=args["documents"],
+            client=client,
+        )
+
+        mock_post.assert_called_once()
+        print(f"mock_post.call_args: {mock_post.call_args.kwargs}")
+        assert "us-west-2" in mock_post.call_args.kwargs["url"]
+        assert "us-east-1" not in mock_post.call_args.kwargs["url"]

From f3ff7e2779c42e5dbea11af783560d7c8575d98f Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 12:47:26 -0700
Subject: [PATCH 154/244] fix(logging): add json formatting for uncaught
 exceptions (#9615) (#9619)

* fix(logging): add json formatting for uncaught exceptions (#9615)

* fix(_logging.py): cleanup logging to catch unhandled exceptions

* fix(_logging.py): avoid using 'print' '

---------

Co-authored-by: Henrique Cavarsan <hcavarsan@yahoo.com.br>
---
 litellm/_logging.py                   | 60 +++++++++++++++++++++++++--
 litellm/proxy/_new_secret_config.yaml |  1 +
 2 files changed, 58 insertions(+), 3 deletions(-)

diff --git a/litellm/_logging.py b/litellm/_logging.py
index 151ae6003d..d7e2c9e778 100644
--- a/litellm/_logging.py
+++ b/litellm/_logging.py
@@ -1,6 +1,7 @@
 import json
 import logging
 import os
+import sys
 from datetime import datetime
 from logging import Formatter
 
@@ -40,9 +41,56 @@ class JsonFormatter(Formatter):
         return json.dumps(json_record)
 
 
+# Function to set up exception handlers for JSON logging
+def _setup_json_exception_handlers(formatter):
+    # Create a handler with JSON formatting for exceptions
+    error_handler = logging.StreamHandler()
+    error_handler.setFormatter(formatter)
+
+    # Setup excepthook for uncaught exceptions
+    def json_excepthook(exc_type, exc_value, exc_traceback):
+        record = logging.LogRecord(
+            name="LiteLLM",
+            level=logging.ERROR,
+            pathname="",
+            lineno=0,
+            msg=str(exc_value),
+            args=(),
+            exc_info=(exc_type, exc_value, exc_traceback),
+        )
+        error_handler.handle(record)
+
+    sys.excepthook = json_excepthook
+
+    # Configure asyncio exception handler if possible
+    try:
+        import asyncio
+
+        def async_json_exception_handler(loop, context):
+            exception = context.get("exception")
+            if exception:
+                record = logging.LogRecord(
+                    name="LiteLLM",
+                    level=logging.ERROR,
+                    pathname="",
+                    lineno=0,
+                    msg=str(exception),
+                    args=(),
+                    exc_info=None,
+                )
+                error_handler.handle(record)
+            else:
+                loop.default_exception_handler(context)
+
+        asyncio.get_event_loop().set_exception_handler(async_json_exception_handler)
+    except Exception:
+        pass
+
+
 # Create a formatter and set it for the handler
 if json_logs:
     handler.setFormatter(JsonFormatter())
+    _setup_json_exception_handlers(JsonFormatter())
 else:
     formatter = logging.Formatter(
         "\033[92m%(asctime)s - %(name)s:%(levelname)s\033[0m: %(filename)s:%(lineno)s - %(message)s",
@@ -65,18 +113,24 @@ def _turn_on_json():
     handler = logging.StreamHandler()
     handler.setFormatter(JsonFormatter())
 
-    # Define a list of the loggers to update
-    loggers = [verbose_router_logger, verbose_proxy_logger, verbose_logger]
+    # Define all loggers to update, including root logger
+    loggers = [logging.getLogger()] + [
+        verbose_router_logger,
+        verbose_proxy_logger,
+        verbose_logger,
+    ]
 
     # Iterate through each logger and update its handlers
     for logger in loggers:
         # Remove all existing handlers
         for h in logger.handlers[:]:
             logger.removeHandler(h)
-
         # Add the new handler
         logger.addHandler(handler)
 
+    # Set up exception handlers
+    _setup_json_exception_handlers(JsonFormatter())
+
 
 def _turn_on_debug():
     verbose_logger.setLevel(level=logging.DEBUG)  # set package log to debug
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index e57c5f3980..72edeb55ca 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -20,6 +20,7 @@ model_list:
 litellm_settings:
   num_retries: 0
   callbacks: ["prometheus"]
+  json_logs: true
 
 router_settings:
   routing_strategy: usage-based-routing-v2 # 👈 KEY CHANGE

From c53d172b062bc1cbbb5b4097b167d925fb73a19a Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 12:57:00 -0700
Subject: [PATCH 155/244] rename pod lock manager

---
 litellm/proxy/db/db_spend_update_writer.py    |   8 +-
 ..._leader_manager.py => pod_lock_manager.py} |   0
 .../litellm/proxy/db/test_pod_lock_manager.py | 127 ++++++++++++++++++
 3 files changed, 131 insertions(+), 4 deletions(-)
 rename litellm/proxy/db/{pod_leader_manager.py => pod_lock_manager.py} (100%)
 create mode 100644 tests/litellm/proxy/db/test_pod_lock_manager.py

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index eee598f79a..9047bd4c38 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -22,7 +22,7 @@ from litellm.proxy._types import (
     LiteLLM_UserTable,
     SpendLogsPayload,
 )
-from litellm.proxy.db.pod_leader_manager import PodLockManager
+from litellm.proxy.db.pod_lock_manager import PodLockManager
 from litellm.proxy.db.redis_update_buffer import (
     DBSpendUpdateTransactions,
     RedisUpdateBuffer,
@@ -49,7 +49,7 @@ class DBSpendUpdateWriter:
     ):
         self.redis_cache = redis_cache
         self.redis_update_buffer = RedisUpdateBuffer(redis_cache=self.redis_cache)
-        self.pod_leader_manager = PodLockManager(cronjob_id=DB_SPEND_UPDATE_JOB_NAME)
+        self.pod_lock_manager = PodLockManager(cronjob_id=DB_SPEND_UPDATE_JOB_NAME)
 
     @staticmethod
     async def update_database(
@@ -405,7 +405,7 @@ class DBSpendUpdateWriter:
             )
 
             # Only commit from redis to db if this pod is the leader
-            if await self.pod_leader_manager.acquire_lock():
+            if await self.pod_lock_manager.acquire_lock():
                 verbose_proxy_logger.debug("acquired lock for spend updates")
 
                 try:
@@ -422,7 +422,7 @@ class DBSpendUpdateWriter:
                 except Exception as e:
                     verbose_proxy_logger.error(f"Error committing spend updates: {e}")
                 finally:
-                    await self.pod_leader_manager.release_lock()
+                    await self.pod_lock_manager.release_lock()
         else:
             db_spend_update_transactions = DBSpendUpdateTransactions(
                 user_list_transactions=prisma_client.user_list_transactions,
diff --git a/litellm/proxy/db/pod_leader_manager.py b/litellm/proxy/db/pod_lock_manager.py
similarity index 100%
rename from litellm/proxy/db/pod_leader_manager.py
rename to litellm/proxy/db/pod_lock_manager.py
diff --git a/tests/litellm/proxy/db/test_pod_lock_manager.py b/tests/litellm/proxy/db/test_pod_lock_manager.py
new file mode 100644
index 0000000000..8894ea6716
--- /dev/null
+++ b/tests/litellm/proxy/db/test_pod_lock_manager.py
@@ -0,0 +1,127 @@
+import json
+import os
+import sys
+from datetime import datetime, timedelta, timezone
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+from fastapi.testclient import TestClient
+
+sys.path.insert(
+    0, os.path.abspath("../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.constants import DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+from litellm.proxy.db.pod_lock_manager import PodLockManager
+
+
+# Mock Prisma client class
+class MockPrismaClient:
+    def __init__(self):
+        self.db = MagicMock()
+        self.db.litellm_cronjob = AsyncMock()
+
+
+@pytest.fixture
+def mock_prisma(monkeypatch):
+    mock_client = MockPrismaClient()
+
+    # Mock the prisma_client import in proxy_server
+    def mock_get_prisma():
+        return mock_client
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_client)
+    return mock_client
+
+
+@pytest.fixture
+def pod_lock_manager():
+    return PodLockManager(cronjob_id="test_job")
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_success(pod_lock_manager, mock_prisma):
+    # Mock successful lock acquisition
+    mock_response = AsyncMock()
+    mock_response.status = "ACTIVE"
+    mock_response.pod_id = pod_lock_manager.pod_id
+    mock_prisma.db.litellm_cronjob.upsert.return_value = mock_response
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == True
+
+    # Verify upsert was called with correct parameters
+    mock_prisma.db.litellm_cronjob.upsert.assert_called_once()
+    call_args = mock_prisma.db.litellm_cronjob.upsert.call_args[1]
+    assert call_args["where"]["cronjob_id"] == "test_job"
+    assert "create" in call_args["data"]
+    assert "update" in call_args["data"]
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_failure(pod_lock_manager, mock_prisma):
+    """
+    Test that the lock is not acquired if the lock is held by a different pod
+    """
+    # Mock failed lock acquisition (different pod holds the lock)
+    mock_response = AsyncMock()
+    mock_response.status = "ACTIVE"
+    mock_response.pod_id = "different_pod_id"
+    mock_prisma.db.litellm_cronjob.upsert.return_value = mock_response
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == False
+
+
+@pytest.mark.asyncio
+async def test_renew_lock(pod_lock_manager, mock_prisma):
+    # Mock successful lock renewal
+    mock_prisma.db.litellm_cronjob.update.return_value = AsyncMock()
+
+    await pod_lock_manager.renew_lock()
+
+    # Verify update was called with correct parameters
+    mock_prisma.db.litellm_cronjob.update.assert_called_once()
+    call_args = mock_prisma.db.litellm_cronjob.update.call_args[1]
+    assert call_args["where"]["cronjob_id"] == "test_job"
+    assert call_args["where"]["pod_id"] == pod_lock_manager.pod_id
+    assert "ttl" in call_args["data"]
+    assert "last_updated" in call_args["data"]
+
+
+@pytest.mark.asyncio
+async def test_release_lock(pod_lock_manager, mock_prisma):
+    # Mock successful lock release
+    mock_prisma.db.litellm_cronjob.update.return_value = AsyncMock()
+
+    await pod_lock_manager.release_lock()
+
+    # Verify update was called with correct parameters
+    mock_prisma.db.litellm_cronjob.update.assert_called_once()
+    call_args = mock_prisma.db.litellm_cronjob.update.call_args[1]
+    assert call_args["where"]["cronjob_id"] == "test_job"
+    assert call_args["where"]["pod_id"] == pod_lock_manager.pod_id
+    assert call_args["data"]["status"] == "INACTIVE"
+
+
+@pytest.mark.asyncio
+async def test_prisma_client_none(pod_lock_manager, monkeypatch):
+    # Mock prisma_client as None
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+
+    # Test all methods with None client
+    assert await pod_lock_manager.acquire_lock() == False
+    assert await pod_lock_manager.renew_lock() == False
+    assert await pod_lock_manager.release_lock() == False
+
+
+@pytest.mark.asyncio
+async def test_database_error_handling(pod_lock_manager, mock_prisma):
+    # Mock database errors
+    mock_prisma.db.litellm_cronjob.upsert.side_effect = Exception("Database error")
+    mock_prisma.db.litellm_cronjob.update.side_effect = Exception("Database error")
+
+    # Test error handling in all methods
+    assert await pod_lock_manager.acquire_lock() == False
+    await pod_lock_manager.renew_lock()  # Should not raise exception
+    await pod_lock_manager.release_lock()  # Should not raise exception

From 021eedaf693ff34bfe8d824bce48f4f76bbbdee6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 12:59:16 -0700
Subject: [PATCH 156/244] test pod lock manager

---
 tests/litellm/proxy/db/test_pod_lock_manager.py | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/tests/litellm/proxy/db/test_pod_lock_manager.py b/tests/litellm/proxy/db/test_pod_lock_manager.py
index 8894ea6716..e685172c1e 100644
--- a/tests/litellm/proxy/db/test_pod_lock_manager.py
+++ b/tests/litellm/proxy/db/test_pod_lock_manager.py
@@ -41,7 +41,9 @@ def pod_lock_manager():
 
 @pytest.mark.asyncio
 async def test_acquire_lock_success(pod_lock_manager, mock_prisma):
-    # Mock successful lock acquisition
+    """
+    Test that the lock is acquired successfully if the DB response is successful
+    """
     mock_response = AsyncMock()
     mock_response.status = "ACTIVE"
     mock_response.pod_id = pod_lock_manager.pod_id
@@ -75,7 +77,9 @@ async def test_acquire_lock_failure(pod_lock_manager, mock_prisma):
 
 @pytest.mark.asyncio
 async def test_renew_lock(pod_lock_manager, mock_prisma):
-    # Mock successful lock renewal
+    """
+    Test that the renew lock calls the DB update method with the correct parameters
+    """
     mock_prisma.db.litellm_cronjob.update.return_value = AsyncMock()
 
     await pod_lock_manager.renew_lock()
@@ -91,7 +95,11 @@ async def test_renew_lock(pod_lock_manager, mock_prisma):
 
 @pytest.mark.asyncio
 async def test_release_lock(pod_lock_manager, mock_prisma):
-    # Mock successful lock release
+    """
+    Test that the release lock calls the DB update method with the correct parameters
+
+    specifically, the status should be set to INACTIVE
+    """
     mock_prisma.db.litellm_cronjob.update.return_value = AsyncMock()
 
     await pod_lock_manager.release_lock()

From 1f2bbda11d5a664879921c047bc718e11d92503d Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Fri, 28 Mar 2025 13:11:19 -0700
Subject: [PATCH 157/244] Add recursion depth to
 convert_anyof_null_to_nullable, constants.py. Fix recursive_detector.py raise
 error state

---
 litellm/constants.py                          |  1 +
 litellm/litellm_core_utils/safe_json_dumps.py |  3 +-
 .../sensitive_data_masker.py                  |  3 +-
 litellm/llms/vertex_ai/common_utils.py        | 11 +++++--
 litellm/proxy/proxy_server.py                 |  3 +-
 .../code_coverage_tests/recursive_detector.py | 33 ++++++++++++-------
 .../vertex_ai/test_vertex_ai_common_utils.py  | 25 ++++++++++++++
 7 files changed, 62 insertions(+), 17 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index da66f897c9..d45994f400 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -4,6 +4,7 @@ ROUTER_MAX_FALLBACKS = 5
 DEFAULT_BATCH_SIZE = 512
 DEFAULT_FLUSH_INTERVAL_SECONDS = 5
 DEFAULT_MAX_RETRIES = 2
+DEFAULT_MAX_RECURSE_DEPTH = 10
 DEFAULT_FAILURE_THRESHOLD_PERCENT = (
     0.5  # default cooldown a deployment if 50% of requests fail in a given minute
 )
diff --git a/litellm/litellm_core_utils/safe_json_dumps.py b/litellm/litellm_core_utils/safe_json_dumps.py
index 990c0ed561..7ad0038ecb 100644
--- a/litellm/litellm_core_utils/safe_json_dumps.py
+++ b/litellm/litellm_core_utils/safe_json_dumps.py
@@ -1,8 +1,9 @@
 import json
 from typing import Any, Union
+from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 
 
-def safe_dumps(data: Any, max_depth: int = 10) -> str:
+def safe_dumps(data: Any, max_depth: int = DEFAULT_MAX_RECURSE_DEPTH) -> str:
     """
     Recursively serialize data while detecting circular references.
     If a circular reference is detected then a marker string is returned.
diff --git a/litellm/litellm_core_utils/sensitive_data_masker.py b/litellm/litellm_core_utils/sensitive_data_masker.py
index a1df115ff0..7800e5304f 100644
--- a/litellm/litellm_core_utils/sensitive_data_masker.py
+++ b/litellm/litellm_core_utils/sensitive_data_masker.py
@@ -1,4 +1,5 @@
 from typing import Any, Dict, Optional, Set
+from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 
 
 class SensitiveDataMasker:
@@ -39,7 +40,7 @@ class SensitiveDataMasker:
         return result
 
     def mask_dict(
-        self, data: Dict[str, Any], depth: int = 0, max_depth: int = 10
+        self, data: Dict[str, Any], depth: int = 0, max_depth: int = DEFAULT_MAX_RECURSE_DEPTH
     ) -> Dict[str, Any]:
         if depth >= max_depth:
             return data
diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index db2960617c..337445777a 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -5,6 +5,7 @@ import httpx
 
 import litellm
 from litellm import supports_response_schema, supports_system_messages, verbose_logger
+from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 from litellm.llms.base_llm.chat.transformation import BaseLLMException
 from litellm.types.llms.vertex_ai import PartType
 
@@ -228,7 +229,11 @@ def unpack_defs(schema, defs):
                 continue
 
 
-def convert_anyof_null_to_nullable(schema):
+def convert_anyof_null_to_nullable(schema, depth=0):
+    if depth > DEFAULT_MAX_RECURSE_DEPTH:
+        raise ValueError(
+            f"Max depth of {DEFAULT_MAX_RECURSE_DEPTH} exceeded while processing schema. Please check the schema for excessive nesting."
+        )
     """ Converts null objects within anyOf by removing them and adding nullable to all remaining objects """
     anyof = schema.get("anyOf", None)
     if anyof is not None:
@@ -256,11 +261,11 @@ def convert_anyof_null_to_nullable(schema):
     properties = schema.get("properties", None)
     if properties is not None:
         for name, value in properties.items():
-            convert_anyof_null_to_nullable(value)
+            convert_anyof_null_to_nullable(value, depth=depth + 1)
 
     items = schema.get("items", None)
     if items is not None:
-        convert_anyof_null_to_nullable(items)
+        convert_anyof_null_to_nullable(items, depth=depth + 1)
 
 
 def add_object_type(schema):
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index df295c3697..16f28e5bdc 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -29,6 +29,7 @@ from litellm.types.utils import (
     ModelResponseStream,
     TextCompletionResponse,
 )
+from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
@@ -1522,7 +1523,7 @@ class ProxyConfig:
                 yaml.dump(new_config, config_file, default_flow_style=False)
 
     def _check_for_os_environ_vars(
-        self, config: dict, depth: int = 0, max_depth: int = 10
+        self, config: dict, depth: int = 0, max_depth: int = DEFAULT_MAX_RECURSE_DEPTH
     ) -> dict:
         """
         Check for os.environ/ variables in the config and replace them with the actual values.
diff --git a/tests/code_coverage_tests/recursive_detector.py b/tests/code_coverage_tests/recursive_detector.py
index 3e9c597b94..b748d1a517 100644
--- a/tests/code_coverage_tests/recursive_detector.py
+++ b/tests/code_coverage_tests/recursive_detector.py
@@ -9,7 +9,7 @@ IGNORE_FUNCTIONS = [
     "_check_for_os_environ_vars",
     "clean_message",
     "unpack_defs",
-    "convert_to_nullable",
+    "convert_anyof_null_to_nullable", # has a set max depth
     "add_object_type",
     "strip_field",
     "_transform_prompt",
@@ -76,15 +76,26 @@ def find_recursive_functions_in_directory(directory):
                     ignored_recursive_functions[file_path] = ignored
     return recursive_functions, ignored_recursive_functions
 
+if __name__ == "__main__":
+    # Example usage
+    # raise exception if any recursive functions are found, except for the ignored ones
+    # this is used in the CI/CD pipeline to prevent recursive functions from being merged
 
-# Example usage
-directory_path = "./litellm"
-recursive_functions, ignored_recursive_functions = (
-    find_recursive_functions_in_directory(directory_path)
-)
-print("ALL RECURSIVE FUNCTIONS: ", recursive_functions)
-print("IGNORED RECURSIVE FUNCTIONS: ", ignored_recursive_functions)
-if len(recursive_functions) > 0:
-    raise Exception(
-        f"🚨 Recursive functions found in {file}: {functions}. THIS IS REALLY BAD, it has caused CPU Usage spikes in the past. Only keep this if it's ABSOLUTELY necessary."
+    directory_path = "./litellm"
+    recursive_functions, ignored_recursive_functions = (
+        find_recursive_functions_in_directory(directory_path)
     )
+    print("UNIGNORED RECURSIVE FUNCTIONS: ", recursive_functions)
+    print("IGNORED RECURSIVE FUNCTIONS: ", ignored_recursive_functions)
+
+    if len(recursive_functions) > 0:
+        # raise exception if any recursive functions are found
+        for file, functions in recursive_functions.items():
+            print(
+                    f"🚨 Unignored recursive functions found in {file}: {functions}. THIS IS REALLY BAD, it has caused CPU Usage spikes in the past. Only keep this if it's ABSOLUTELY necessary."
+                )
+        file, functions = list(recursive_functions.items())[0]
+        raise Exception(
+                f"🚨 Unignored recursive functions found include {file}: {functions}. THIS IS REALLY BAD, it has caused CPU Usage spikes in the past. Only keep this if it's ABSOLUTELY necessary."
+            )
+        
diff --git a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
index 0dc4a533fe..9412cc6d81 100644
--- a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
+++ b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
@@ -1,6 +1,7 @@
 import os
 import sys
 from unittest.mock import MagicMock, call, patch
+from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 
 import pytest
 
@@ -112,6 +113,30 @@ def test_nested_anyof_conversion():
     }
     assert schema == expected
 
+def test_anyof_with_excessive_nesting():
+    """Test conversion with excessive nesting > max levels +1 deep."""
+    # generate a schema with excessive nesting
+    schema = {"type": "object", "properties": {}}
+    current = schema
+    for _ in range(DEFAULT_MAX_RECURSE_DEPTH + 1):
+        current["properties"] = {
+            "nested": {
+                "anyOf": [
+                    {"type": "string"},
+                    {"type": "null"}
+                ],
+                "properties": {}
+            }
+        }
+        current = current["properties"]["nested"]
+       
+
+    # running the conversion will raise an error
+    with pytest.raises(ValueError, match=f"Max depth of {DEFAULT_MAX_RECURSE_DEPTH} exceeded while processing schema. Please check the schema for excessive nesting."):
+        convert_anyof_null_to_nullable(schema)
+
+    
+
 @pytest.mark.asyncio
 async def test_get_supports_system_message():
     """Test get_supports_system_message with different models"""

From 7c85054bade2b2a7d9ef348444ab2c9e32f9e1d5 Mon Sep 17 00:00:00 2001
From: Dbzman <dev@dbzman-online.eu>
Date: Fri, 28 Mar 2025 21:20:12 +0100
Subject: [PATCH 158/244] fix: wrong indentation for ttlSecondsAfterFinished
 (#9611)

---
 deploy/charts/litellm-helm/templates/migrations-job.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/deploy/charts/litellm-helm/templates/migrations-job.yaml b/deploy/charts/litellm-helm/templates/migrations-job.yaml
index e994c45548..1c4b6817fa 100644
--- a/deploy/charts/litellm-helm/templates/migrations-job.yaml
+++ b/deploy/charts/litellm-helm/templates/migrations-job.yaml
@@ -65,6 +65,6 @@ spec:
       tolerations:
         {{- toYaml . | nindent 8 }}
       {{- end }}
-      ttlSecondsAfterFinished: {{ .Values.migrationJob.ttlSecondsAfterFinished }}
+  ttlSecondsAfterFinished: {{ .Values.migrationJob.ttlSecondsAfterFinished }}
   backoffLimit: {{ .Values.migrationJob.backoffLimit }}
 {{- end }}

From 1eaf847f8a7801fe93a0b2fef3b5f03b5c0c5326 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 13:31:45 -0700
Subject: [PATCH 159/244] test pod lock manager

---
 litellm/proxy/db/pod_lock_manager.py          |  50 ++-
 .../test_e2e_pod_lock_manager.py              | 354 ++++++++++++++++++
 2 files changed, 384 insertions(+), 20 deletions(-)
 create mode 100644 tests/proxy_unit_tests/test_e2e_pod_lock_manager.py

diff --git a/litellm/proxy/db/pod_lock_manager.py b/litellm/proxy/db/pod_lock_manager.py
index 9b739b8695..84c92c9daa 100644
--- a/litellm/proxy/db/pod_lock_manager.py
+++ b/litellm/proxy/db/pod_lock_manager.py
@@ -25,47 +25,57 @@ class PodLockManager:
 
     async def acquire_lock(self) -> bool:
         """
-        Attempt to acquire the lock for a specific cron job.
+        Attempt to acquire the lock for a specific cron job using database locking.
         """
         from litellm.proxy.proxy_server import prisma_client
 
-        verbose_proxy_logger.debug("acquiring lock for cronjob_id=%s", self.cronjob_id)
+        verbose_proxy_logger.debug(
+            "Pod %s acquiring lock for cronjob_id=%s", self.pod_id, self.cronjob_id
+        )
         if not prisma_client:
             verbose_proxy_logger.debug("prisma is None, returning False")
             return False
+
         try:
             current_time = datetime.now(timezone.utc)
-            # Lease expiry time
             ttl_expiry = current_time + timedelta(
                 seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
             )
 
-            # Attempt to acquire the lock by upserting the record in the `cronjob_locks` table
-            cronjob_lock = await prisma_client.db.litellm_cronjob.upsert(
+            # Use Prisma's findUnique with FOR UPDATE lock to prevent race conditions
+            lock_record = await prisma_client.db.litellm_cronjob.find_unique(
                 where={"cronjob_id": self.cronjob_id},
-                data={
-                    "create": {
-                        "cronjob_id": self.cronjob_id,
+            )
+
+            if lock_record:
+                # If record exists, only update if it's inactive or expired
+                if lock_record.status == "ACTIVE" and lock_record.ttl > current_time:
+                    return lock_record.pod_id == self.pod_id
+
+                # Update existing record
+                updated_lock = await prisma_client.db.litellm_cronjob.update(
+                    where={"cronjob_id": self.cronjob_id},
+                    data={
                         "pod_id": self.pod_id,
                         "status": "ACTIVE",
                         "last_updated": current_time,
                         "ttl": ttl_expiry,
                     },
-                    "update": {
+                )
+            else:
+                # Create new record if none exists
+                updated_lock = await prisma_client.db.litellm_cronjob.create(
+                    data={
+                        "cronjob_id": self.cronjob_id,
+                        "pod_id": self.pod_id,
                         "status": "ACTIVE",
                         "last_updated": current_time,
                         "ttl": ttl_expiry,
-                    },
-                },
-            )
-            verbose_proxy_logger.debug("cronjob_lock=%s", cronjob_lock)
-
-            if cronjob_lock.status == "ACTIVE" and cronjob_lock.pod_id == self.pod_id:
-                verbose_proxy_logger.debug(
-                    f"Pod {self.pod_id} has acquired the lock for {self.cronjob_id}."
+                    }
                 )
-                return True  # Lock successfully acquired
-            return False
+
+            return updated_lock.pod_id == self.pod_id
+
         except Exception as e:
             verbose_proxy_logger.error(
                 f"Error acquiring the lock for {self.cronjob_id}: {e}"
@@ -112,7 +122,7 @@ class PodLockManager:
             return False
         try:
             verbose_proxy_logger.debug(
-                "releasing lock for cronjob_id=%s", self.cronjob_id
+                "Pod %s releasing lock for cronjob_id=%s", self.pod_id, self.cronjob_id
             )
             await prisma_client.db.litellm_cronjob.update(
                 where={"cronjob_id": self.cronjob_id, "pod_id": self.pod_id},
diff --git a/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py b/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py
new file mode 100644
index 0000000000..7d36bb4791
--- /dev/null
+++ b/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py
@@ -0,0 +1,354 @@
+import os
+import sys
+import traceback
+import uuid
+from datetime import datetime, timezone, timedelta
+
+from dotenv import load_dotenv
+from fastapi import Request
+from fastapi.routing import APIRoute
+import httpx
+
+load_dotenv()
+import io
+import os
+import time
+
+# this file is to test litellm/proxy
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import asyncio
+import logging
+
+import pytest
+from litellm.proxy.db.pod_lock_manager import PodLockManager
+import litellm
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy.management_endpoints.internal_user_endpoints import (
+    new_user,
+    user_info,
+    user_update,
+)
+from litellm.proxy.auth.auth_checks import get_key_object
+from litellm.proxy.management_endpoints.key_management_endpoints import (
+    delete_key_fn,
+    generate_key_fn,
+    generate_key_helper_fn,
+    info_key_fn,
+    list_keys,
+    regenerate_key_fn,
+    update_key_fn,
+)
+from litellm.proxy.management_endpoints.team_endpoints import (
+    new_team,
+    team_info,
+    update_team,
+)
+from litellm.proxy.proxy_server import (
+    LitellmUserRoles,
+    audio_transcriptions,
+    chat_completion,
+    completion,
+    embeddings,
+    image_generation,
+    model_list,
+    moderations,
+    user_api_key_auth,
+)
+from litellm.proxy.management_endpoints.customer_endpoints import (
+    new_end_user,
+)
+from litellm.proxy.spend_tracking.spend_management_endpoints import (
+    global_spend,
+    spend_key_fn,
+    spend_user_fn,
+    view_spend_logs,
+)
+from litellm.proxy.utils import PrismaClient, ProxyLogging, hash_token, update_spend
+
+verbose_proxy_logger.setLevel(level=logging.DEBUG)
+
+from starlette.datastructures import URL
+
+from litellm.caching.caching import DualCache
+from litellm.proxy._types import (
+    DynamoDBArgs,
+    GenerateKeyRequest,
+    KeyRequest,
+    LiteLLM_UpperboundKeyGenerateParams,
+    NewCustomerRequest,
+    NewTeamRequest,
+    NewUserRequest,
+    ProxyErrorTypes,
+    ProxyException,
+    UpdateKeyRequest,
+    UpdateTeamRequest,
+    UpdateUserRequest,
+    UserAPIKeyAuth,
+)
+
+proxy_logging_obj = ProxyLogging(user_api_key_cache=DualCache())
+
+
+request_data = {
+    "model": "azure-gpt-3.5",
+    "messages": [
+        {"role": "user", "content": "this is my new test. respond in 50 lines"}
+    ],
+}
+
+
+@pytest.fixture
+def prisma_client():
+    from litellm.proxy.proxy_cli import append_query_params
+
+    ### add connection pool + pool timeout args
+    params = {"connection_limit": 100, "pool_timeout": 60}
+    database_url = os.getenv("DATABASE_URL")
+    modified_url = append_query_params(database_url, params)
+    os.environ["DATABASE_URL"] = modified_url
+
+    # Assuming PrismaClient is a class that needs to be instantiated
+    prisma_client = PrismaClient(
+        database_url=os.environ["DATABASE_URL"], proxy_logging_obj=proxy_logging_obj
+    )
+
+    # Reset litellm.proxy.proxy_server.prisma_client to None
+    litellm.proxy.proxy_server.litellm_proxy_budget_name = (
+        f"litellm-proxy-budget-{time.time()}"
+    )
+    litellm.proxy.proxy_server.user_custom_key_generate = None
+
+    return prisma_client
+
+
+async def setup_db_connection(prisma_client):
+    setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
+    setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
+    await litellm.proxy.proxy_server.prisma_client.connect()
+
+
+@pytest.mark.asyncio
+async def test_pod_lock_acquisition_when_no_active_lock(prisma_client):
+    """Test if a pod can acquire a lock when no lock is active"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    lock_manager = PodLockManager(cronjob_id=cronjob_id)
+
+    # Attempt to acquire lock
+    result = await lock_manager.acquire_lock()
+
+    assert result == True, "Pod should be able to acquire lock when no lock exists"
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id == lock_manager.pod_id
+
+
+@pytest.mark.asyncio
+async def test_pod_lock_acquisition_after_completion(prisma_client):
+    """Test if a new pod can acquire lock after previous pod completes"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    # First pod acquires and releases lock
+    first_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    await first_lock_manager.acquire_lock()
+    await first_lock_manager.release_lock()
+
+    # Second pod attempts to acquire lock
+    second_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    result = await second_lock_manager.acquire_lock()
+
+    assert result == True, "Second pod should acquire lock after first pod releases it"
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id == second_lock_manager.pod_id
+
+
+@pytest.mark.asyncio
+async def test_pod_lock_acquisition_after_expiry(prisma_client):
+    """Test if a new pod can acquire lock after previous pod's lock expires"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    # First pod acquires lock
+    first_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    await first_lock_manager.acquire_lock()
+
+    # release the lock from the first pod
+    await first_lock_manager.release_lock()
+
+    # Second pod attempts to acquire lock
+    second_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    result = await second_lock_manager.acquire_lock()
+
+    assert (
+        result == True
+    ), "Second pod should acquire lock after first pod's lock expires"
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id == second_lock_manager.pod_id
+
+
+@pytest.mark.asyncio
+async def test_pod_lock_release(prisma_client):
+    """Test if a pod can successfully release its lock"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    lock_manager = PodLockManager(cronjob_id=cronjob_id)
+
+    # Acquire and then release lock
+    await lock_manager.acquire_lock()
+    await lock_manager.release_lock()
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "INACTIVE"
+
+
+@pytest.mark.asyncio
+async def test_concurrent_lock_acquisition(prisma_client):
+    """Test that only one pod can acquire the lock when multiple pods try simultaneously"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    # Create multiple lock managers simulating different pods
+    lock_manager1 = PodLockManager(cronjob_id=cronjob_id)
+    lock_manager2 = PodLockManager(cronjob_id=cronjob_id)
+    lock_manager3 = PodLockManager(cronjob_id=cronjob_id)
+
+    # Try to acquire locks concurrently
+    results = await asyncio.gather(
+        lock_manager1.acquire_lock(),
+        lock_manager2.acquire_lock(),
+        lock_manager3.acquire_lock(),
+    )
+
+    # Only one should succeed
+    print("all results=", results)
+    assert sum(results) == 1, "Only one pod should acquire the lock"
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id in [
+        lock_manager1.pod_id,
+        lock_manager2.pod_id,
+        lock_manager3.pod_id,
+    ]
+
+
+@pytest.mark.asyncio
+async def test_lock_renewal(prisma_client):
+    """Test that a pod can successfully renew its lock"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    lock_manager = PodLockManager(cronjob_id=cronjob_id)
+
+    # Acquire initial lock
+    await lock_manager.acquire_lock()
+
+    # Get initial TTL
+    initial_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    initial_ttl = initial_record.ttl
+
+    # Wait a short time
+    await asyncio.sleep(1)
+
+    # Renew the lock
+    await lock_manager.renew_lock()
+
+    # Get updated record
+    renewed_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+
+    assert renewed_record.ttl > initial_ttl, "Lock TTL should be extended after renewal"
+    assert renewed_record.status == "ACTIVE"
+    assert renewed_record.pod_id == lock_manager.pod_id
+
+
+@pytest.mark.asyncio
+async def test_lock_acquisition_with_expired_ttl(prisma_client):
+    """Test that a pod can acquire a lock when existing lock has expired TTL"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    first_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+
+    # First pod acquires lock
+    await first_lock_manager.acquire_lock()
+
+    # Manually expire the TTL
+    expired_time = datetime.now(timezone.utc) - timedelta(seconds=10)
+    await prisma_client.db.litellm_cronjob.update(
+        where={"cronjob_id": cronjob_id}, data={"ttl": expired_time}
+    )
+
+    # Second pod tries to acquire without explicit release
+    second_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    result = await second_lock_manager.acquire_lock()
+
+    assert result == True, "Should acquire lock when existing lock has expired TTL"
+
+    # Verify in database
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id == second_lock_manager.pod_id
+
+
+@pytest.mark.asyncio
+async def test_release_expired_lock(prisma_client):
+    """Test that a pod cannot release a lock that has been taken over by another pod"""
+    await setup_db_connection(prisma_client)
+
+    cronjob_id = str(uuid.uuid4())
+    first_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+
+    # First pod acquires lock
+    await first_lock_manager.acquire_lock()
+
+    # Manually expire the TTL
+    expired_time = datetime.now(timezone.utc) - timedelta(seconds=10)
+    await prisma_client.db.litellm_cronjob.update(
+        where={"cronjob_id": cronjob_id}, data={"ttl": expired_time}
+    )
+
+    # Second pod acquires the lock
+    second_lock_manager = PodLockManager(cronjob_id=cronjob_id)
+    await second_lock_manager.acquire_lock()
+
+    # First pod attempts to release its lock
+    await first_lock_manager.release_lock()
+
+    # Verify that second pod's lock is still active
+    lock_record = await prisma_client.db.litellm_cronjob.find_first(
+        where={"cronjob_id": cronjob_id}
+    )
+    assert lock_record.status == "ACTIVE"
+    assert lock_record.pod_id == second_lock_manager.pod_id

From 28a9edb547d456ae221ba4472445ac3ac07f8034 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 13:31:54 -0700
Subject: [PATCH 160/244] test(test_caching_handler.py): move to in-memory
 cache - prevent redis flakiness from impacting ci/cd

---
 tests/local_testing/test_caching_handler.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/tests/local_testing/test_caching_handler.py b/tests/local_testing/test_caching_handler.py
index c2466000c4..c0e3b8d306 100644
--- a/tests/local_testing/test_caching_handler.py
+++ b/tests/local_testing/test_caching_handler.py
@@ -40,12 +40,7 @@ import logging
 
 def setup_cache():
     # Set up the cache
-    cache = Cache(
-        type=LiteLLMCacheType.REDIS,
-        host=os.environ["REDIS_HOST"],
-        port=os.environ["REDIS_PORT"],
-        password=os.environ["REDIS_PASSWORD"],
-    )
+    cache = Cache(type=LiteLLMCacheType.LOCAL)
     litellm.cache = cache
     return cache
 

From 193052ed7054292e7d01794cf3b3fb76bbb83503 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 15:05:17 -0700
Subject: [PATCH 161/244] test pod lock manager

---
 .../litellm/proxy/db/test_pod_lock_manager.py | 215 ++++++++++++++++--
 1 file changed, 200 insertions(+), 15 deletions(-)

diff --git a/tests/litellm/proxy/db/test_pod_lock_manager.py b/tests/litellm/proxy/db/test_pod_lock_manager.py
index e685172c1e..bce7b66409 100644
--- a/tests/litellm/proxy/db/test_pod_lock_manager.py
+++ b/tests/litellm/proxy/db/test_pod_lock_manager.py
@@ -42,38 +42,75 @@ def pod_lock_manager():
 @pytest.mark.asyncio
 async def test_acquire_lock_success(pod_lock_manager, mock_prisma):
     """
-    Test that the lock is acquired successfully if the DB response is successful
+    Test that the lock is acquired successfully when no existing lock exists
     """
+    # Mock find_unique to return None (no existing lock)
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = None
+
+    # Mock successful creation of new lock
     mock_response = AsyncMock()
     mock_response.status = "ACTIVE"
     mock_response.pod_id = pod_lock_manager.pod_id
-    mock_prisma.db.litellm_cronjob.upsert.return_value = mock_response
+    mock_prisma.db.litellm_cronjob.create.return_value = mock_response
 
     result = await pod_lock_manager.acquire_lock()
     assert result == True
 
-    # Verify upsert was called with correct parameters
-    mock_prisma.db.litellm_cronjob.upsert.assert_called_once()
-    call_args = mock_prisma.db.litellm_cronjob.upsert.call_args[1]
-    assert call_args["where"]["cronjob_id"] == "test_job"
-    assert "create" in call_args["data"]
-    assert "update" in call_args["data"]
+    # Verify find_unique was called
+    mock_prisma.db.litellm_cronjob.find_unique.assert_called_once()
+    # Verify create was called with correct parameters
+    mock_prisma.db.litellm_cronjob.create.assert_called_once()
+    call_args = mock_prisma.db.litellm_cronjob.create.call_args[1]
+    assert call_args["data"]["cronjob_id"] == "test_job"
+    assert call_args["data"]["pod_id"] == pod_lock_manager.pod_id
+    assert call_args["data"]["status"] == "ACTIVE"
 
 
 @pytest.mark.asyncio
-async def test_acquire_lock_failure(pod_lock_manager, mock_prisma):
+async def test_acquire_lock_existing_active(pod_lock_manager, mock_prisma):
     """
-    Test that the lock is not acquired if the lock is held by a different pod
+    Test that the lock is not acquired if there's an active lock by different pod
     """
-    # Mock failed lock acquisition (different pod holds the lock)
-    mock_response = AsyncMock()
-    mock_response.status = "ACTIVE"
-    mock_response.pod_id = "different_pod_id"
-    mock_prisma.db.litellm_cronjob.upsert.return_value = mock_response
+    # Mock existing active lock
+    mock_existing = AsyncMock()
+    mock_existing.status = "ACTIVE"
+    mock_existing.pod_id = "different_pod_id"
+    mock_existing.ttl = datetime.now(timezone.utc) + timedelta(seconds=30)  # Future TTL
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
 
     result = await pod_lock_manager.acquire_lock()
     assert result == False
 
+    # Verify find_unique was called but update/create were not
+    mock_prisma.db.litellm_cronjob.find_unique.assert_called_once()
+    mock_prisma.db.litellm_cronjob.update.assert_not_called()
+    mock_prisma.db.litellm_cronjob.create.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_expired(pod_lock_manager, mock_prisma):
+    """
+    Test that the lock can be acquired if existing lock is expired
+    """
+    # Mock existing expired lock
+    mock_existing = AsyncMock()
+    mock_existing.status = "ACTIVE"
+    mock_existing.pod_id = "different_pod_id"
+    mock_existing.ttl = datetime.now(timezone.utc) - timedelta(seconds=30)  # Past TTL
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
+
+    # Mock successful update
+    mock_updated = AsyncMock()
+    mock_updated.pod_id = pod_lock_manager.pod_id
+    mock_prisma.db.litellm_cronjob.update.return_value = mock_updated
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == True
+
+    # Verify both find_unique and update were called
+    mock_prisma.db.litellm_cronjob.find_unique.assert_called_once()
+    mock_prisma.db.litellm_cronjob.update.assert_called_once()
+
 
 @pytest.mark.asyncio
 async def test_renew_lock(pod_lock_manager, mock_prisma):
@@ -133,3 +170,151 @@ async def test_database_error_handling(pod_lock_manager, mock_prisma):
     assert await pod_lock_manager.acquire_lock() == False
     await pod_lock_manager.renew_lock()  # Should not raise exception
     await pod_lock_manager.release_lock()  # Should not raise exception
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_inactive_status(pod_lock_manager, mock_prisma):
+    """
+    Test that the lock can be acquired if existing lock is INACTIVE
+    """
+    # Mock existing inactive lock
+    mock_existing = AsyncMock()
+    mock_existing.status = "INACTIVE"
+    mock_existing.pod_id = "different_pod_id"
+    mock_existing.ttl = datetime.now(timezone.utc) + timedelta(seconds=30)
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
+
+    # Mock successful update
+    mock_updated = AsyncMock()
+    mock_updated.pod_id = pod_lock_manager.pod_id
+    mock_prisma.db.litellm_cronjob.update.return_value = mock_updated
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == True
+
+    mock_prisma.db.litellm_cronjob.update.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_same_pod(pod_lock_manager, mock_prisma):
+    """
+    Test that the lock returns True if the same pod already holds the lock
+    """
+    # Mock existing active lock held by same pod
+    mock_existing = AsyncMock()
+    mock_existing.status = "ACTIVE"
+    mock_existing.pod_id = pod_lock_manager.pod_id
+    mock_existing.ttl = datetime.now(timezone.utc) + timedelta(seconds=30)
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == True
+
+    # Verify no update was needed
+    mock_prisma.db.litellm_cronjob.update.assert_not_called()
+    mock_prisma.db.litellm_cronjob.create.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_acquire_lock_race_condition(pod_lock_manager, mock_prisma):
+    """
+    Test handling of potential race conditions during lock acquisition
+    """
+    # First find_unique returns None
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = None
+
+    # But create raises unique constraint violation
+    mock_prisma.db.litellm_cronjob.create.side_effect = Exception(
+        "Unique constraint violation"
+    )
+
+    result = await pod_lock_manager.acquire_lock()
+    assert result == False
+
+
+@pytest.mark.asyncio
+async def test_ttl_calculation(pod_lock_manager, mock_prisma):
+    """
+    Test that TTL is calculated correctly when acquiring lock
+    """
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = None
+    mock_prisma.db.litellm_cronjob.create.return_value = AsyncMock()
+
+    await pod_lock_manager.acquire_lock()
+
+    call_args = mock_prisma.db.litellm_cronjob.create.call_args[1]
+    ttl = call_args["data"]["ttl"]
+
+    # Verify TTL is in the future by DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+    expected_ttl = datetime.now(timezone.utc) + timedelta(
+        seconds=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS
+    )
+    assert abs((ttl - expected_ttl).total_seconds()) < 1  # Allow 1 second difference
+
+
+@pytest.mark.asyncio
+async def test_concurrent_lock_acquisition_simulation(mock_prisma):
+    """
+    Simulate multiple pods trying to acquire the lock simultaneously
+    """
+    pod1 = PodLockManager(cronjob_id="test_job")
+    pod2 = PodLockManager(cronjob_id="test_job")
+    pod3 = PodLockManager(cronjob_id="test_job")
+
+    # Simulate first pod getting the lock
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = None
+    mock_response = AsyncMock()
+    mock_response.pod_id = pod1.pod_id
+    mock_response.status = "ACTIVE"
+    mock_prisma.db.litellm_cronjob.create.return_value = mock_response
+
+    # First pod should get the lock
+    result1 = await pod1.acquire_lock()
+    assert result1 == True
+
+    # Simulate other pods trying to acquire same lock immediately after
+    mock_existing = AsyncMock()
+    mock_existing.status = "ACTIVE"
+    mock_existing.pod_id = pod1.pod_id
+    mock_existing.ttl = datetime.now(timezone.utc) + timedelta(seconds=30)
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
+
+    # Other pods should fail to acquire
+    result2 = await pod2.acquire_lock()
+    result3 = await pod3.acquire_lock()
+    assert result2 == False
+    assert result3 == False
+
+
+@pytest.mark.asyncio
+async def test_lock_takeover_race_condition(mock_prisma):
+    """
+    Test scenario where multiple pods try to take over an expired lock
+    """
+    pod1 = PodLockManager(cronjob_id="test_job")
+    pod2 = PodLockManager(cronjob_id="test_job")
+
+    # Simulate expired lock
+    mock_existing = AsyncMock()
+    mock_existing.status = "ACTIVE"
+    mock_existing.pod_id = "old_pod"
+    mock_existing.ttl = datetime.now(timezone.utc) - timedelta(seconds=30)
+    mock_prisma.db.litellm_cronjob.find_unique.return_value = mock_existing
+
+    # Simulate pod1's update succeeding
+    mock_update1 = AsyncMock()
+    mock_update1.pod_id = pod1.pod_id
+    mock_prisma.db.litellm_cronjob.update.return_value = mock_update1
+
+    # First pod should successfully take over
+    result1 = await pod1.acquire_lock()
+    assert result1 == True
+
+    # Simulate pod2's update failing due to race condition
+    mock_prisma.db.litellm_cronjob.update.side_effect = Exception(
+        "Row was updated by another transaction"
+    )
+
+    # Second pod should fail to take over
+    result2 = await pod2.acquire_lock()
+    assert result2 == False

From 3df839d8783f4c1ca2c4d22e4d018601cec18780 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 15:12:19 -0700
Subject: [PATCH 162/244] use helper methods
 _commit_spend_updates_to_db_without_redis_buffer

---
 litellm/proxy/db/db_spend_update_writer.py | 109 ++++++++++++++-------
 1 file changed, 75 insertions(+), 34 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 9047bd4c38..17247aff74 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -400,45 +400,86 @@ class DBSpendUpdateWriter:
             - Regular flow of this method
         """
         if RedisUpdateBuffer._should_commit_spend_updates_to_redis():
-            await self.redis_update_buffer.store_in_memory_spend_updates_in_redis(
-                prisma_client=prisma_client,
-            )
-
-            # Only commit from redis to db if this pod is the leader
-            if await self.pod_lock_manager.acquire_lock():
-                verbose_proxy_logger.debug("acquired lock for spend updates")
-
-                try:
-                    db_spend_update_transactions = (
-                        await self.redis_update_buffer.get_all_update_transactions_from_redis()
-                    )
-                    if db_spend_update_transactions is not None:
-                        await DBSpendUpdateWriter._commit_spend_updates_to_db(
-                            prisma_client=prisma_client,
-                            n_retry_times=n_retry_times,
-                            proxy_logging_obj=proxy_logging_obj,
-                            db_spend_update_transactions=db_spend_update_transactions,
-                        )
-                except Exception as e:
-                    verbose_proxy_logger.error(f"Error committing spend updates: {e}")
-                finally:
-                    await self.pod_lock_manager.release_lock()
-        else:
-            db_spend_update_transactions = DBSpendUpdateTransactions(
-                user_list_transactions=prisma_client.user_list_transactions,
-                end_user_list_transactions=prisma_client.end_user_list_transactions,
-                key_list_transactions=prisma_client.key_list_transactions,
-                team_list_transactions=prisma_client.team_list_transactions,
-                team_member_list_transactions=prisma_client.team_member_list_transactions,
-                org_list_transactions=prisma_client.org_list_transactions,
-            )
-            await DBSpendUpdateWriter._commit_spend_updates_to_db(
+            await self._commit_spend_updates_to_db_with_redis(
                 prisma_client=prisma_client,
                 n_retry_times=n_retry_times,
                 proxy_logging_obj=proxy_logging_obj,
-                db_spend_update_transactions=db_spend_update_transactions,
             )
 
+        else:
+            await self._commit_spend_updates_to_db_without_redis_buffer(
+                prisma_client=prisma_client,
+                n_retry_times=n_retry_times,
+                proxy_logging_obj=proxy_logging_obj,
+            )
+
+    async def _commit_spend_updates_to_db_with_redis(
+        self,
+        prisma_client: PrismaClient,
+        n_retry_times: int,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Handler to commit spend updates to Redis and attempt to acquire lock to commit to db
+
+        This is a v2 scalable approach to first commit spend updates to redis, then commit to db
+
+        This minimizes DB Deadlocks since
+            - All pods only need to write their spend updates to redis
+            - Only 1 pod will commit to db at a time (based on if it can acquire the lock over writing to DB)
+        """
+        await self.redis_update_buffer.store_in_memory_spend_updates_in_redis(
+            prisma_client=prisma_client,
+        )
+
+        # Only commit from redis to db if this pod is the leader
+        if await self.pod_lock_manager.acquire_lock():
+            verbose_proxy_logger.debug("acquired lock for spend updates")
+
+            try:
+                db_spend_update_transactions = (
+                    await self.redis_update_buffer.get_all_update_transactions_from_redis()
+                )
+                if db_spend_update_transactions is not None:
+                    await DBSpendUpdateWriter._commit_spend_updates_to_db(
+                        prisma_client=prisma_client,
+                        n_retry_times=n_retry_times,
+                        proxy_logging_obj=proxy_logging_obj,
+                        db_spend_update_transactions=db_spend_update_transactions,
+                    )
+            except Exception as e:
+                verbose_proxy_logger.error(f"Error committing spend updates: {e}")
+            finally:
+                await self.pod_lock_manager.release_lock()
+
+    async def _commit_spend_updates_to_db_without_redis_buffer(
+        self,
+        prisma_client: PrismaClient,
+        n_retry_times: int,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Commits all the spend `UPDATE` transactions to the Database
+
+        This is the regular flow of committing to db without using a redis buffer
+
+        Note: This flow causes Deadlocks in production (1K RPS+). Use self._commit_spend_updates_to_db_with_redis() instead if you expect 1K+ RPS.
+        """
+        db_spend_update_transactions = DBSpendUpdateTransactions(
+            user_list_transactions=prisma_client.user_list_transactions,
+            end_user_list_transactions=prisma_client.end_user_list_transactions,
+            key_list_transactions=prisma_client.key_list_transactions,
+            team_list_transactions=prisma_client.team_list_transactions,
+            team_member_list_transactions=prisma_client.team_member_list_transactions,
+            org_list_transactions=prisma_client.org_list_transactions,
+        )
+        await DBSpendUpdateWriter._commit_spend_updates_to_db(
+            prisma_client=prisma_client,
+            n_retry_times=n_retry_times,
+            proxy_logging_obj=proxy_logging_obj,
+            db_spend_update_transactions=db_spend_update_transactions,
+        )
+
     @staticmethod
     async def _commit_spend_updates_to_db(  # noqa: PLR0915
         prisma_client: PrismaClient,

From 205db622bf660d5bcff79d8631b5b2851ee96364 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 12:32:04 -0700
Subject: [PATCH 163/244] =?UTF-8?q?fix(proxy=5Fserver.py):=20get=20master?=
 =?UTF-8?q?=20key=20from=20environment,=20if=20not=20set=20in=20=E2=80=A6?=
 =?UTF-8?q?=20(#9617)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* fix(proxy_server.py): get master key from environment, if not set in general settings or general settings not set at all

* test: mark flaky test

* test(test_proxy_server.py): mock prisma client

* ci: add new github workflow for testing just the mock tests

* fix: fix linting error

* ci(conftest.py): add conftest.py to isolate proxy tests

* build(pyproject.toml): add respx to dev dependencies

* build(pyproject.toml): add prisma to dev dependencies

* test: fix mock prompt management tests to use a mock anthropic key

* ci(test-litellm.yml): parallelize mock testing

make it run faster

* build(pyproject.toml): add hypercorn as dev dep

* build(pyproject.toml): separate proxy vs. core dev dependencies

make it easier for non-proxy contributors to run tests locally - e.g. no need to install hypercorn

* ci(test-litellm.yml): pin python version

* test(test_rerank.py): move test - cannot be mocked, requires aws credentials for e2e testing

* ci: add thank you message to ci

* test: add mock env var to test

* test: add autouse to tests

* test: test mock env vars for e2e tests
---
 .github/workflows/test-litellm.yml            |  35 ++
 Makefile                                      |   3 +
 litellm/proxy/proxy_server.py                 |   2 +
 poetry.lock                                   | 444 +++++++++---------
 pyproject.toml                                |   5 +
 tests/litellm/conftest.py                     |  63 +++
 .../test_custom_prompt_management.py          |   7 +-
 .../test_spend_management_endpoints.py        |   7 +-
 tests/litellm/proxy/test_proxy_server.py      |  90 ++++
 tests/litellm/rerank_api/test_rerank_main.py  |  51 --
 tests/litellm/test_main.py                    |  12 +-
 tests/llm_translation/test_cohere.py          |   1 +
 tests/llm_translation/test_rerank.py          |  39 ++
 13 files changed, 477 insertions(+), 282 deletions(-)
 create mode 100644 .github/workflows/test-litellm.yml
 create mode 100644 tests/litellm/conftest.py
 delete mode 100644 tests/litellm/rerank_api/test_rerank_main.py

diff --git a/.github/workflows/test-litellm.yml b/.github/workflows/test-litellm.yml
new file mode 100644
index 0000000000..09de0ff110
--- /dev/null
+++ b/.github/workflows/test-litellm.yml
@@ -0,0 +1,35 @@
+name: LiteLLM Tests
+
+on:
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Thank You Message
+      run: |
+        echo "### 🙏 Thank you for contributing to LiteLLM!" >> $GITHUB_STEP_SUMMARY
+        echo "Your PR is being tested now. We appreciate your help in making LiteLLM better!" >> $GITHUB_STEP_SUMMARY
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.12'
+
+    - name: Install Poetry
+      uses: snok/install-poetry@v1
+
+    - name: Install dependencies
+      run: |
+        poetry install --with dev,proxy-dev --extras proxy
+        poetry run pip install pytest-xdist
+
+    - name: Run tests
+      run: |
+        poetry run pytest tests/litellm -x -vv -n 4 
\ No newline at end of file
diff --git a/Makefile b/Makefile
index 6c231d3cc2..a06509312d 100644
--- a/Makefile
+++ b/Makefile
@@ -14,6 +14,9 @@ help:
 install-dev:
 	poetry install --with dev
 
+install-proxy-dev:
+	poetry install --with dev,proxy-dev
+
 lint: install-dev
 	poetry run pip install types-requests types-setuptools types-redis types-PyYAML
 	cd litellm && poetry run mypy . --ignore-missing-imports
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 16f28e5bdc..7c9b60d5cb 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -463,6 +463,8 @@ async def proxy_startup_event(app: FastAPI):
     if premium_user is False:
         premium_user = _license_check.is_premium()
 
+    ## CHECK MASTER KEY IN ENVIRONMENT ##
+    master_key = get_secret_str("LITELLM_MASTER_KEY")
     ### LOAD CONFIG ###
     worker_config: Optional[Union[str, dict]] = get_secret("WORKER_CONFIG")  # type: ignore
     env_config_yaml: Optional[str] = get_secret_str("CONFIG_FILE_PATH")
diff --git a/poetry.lock b/poetry.lock
index 9273f91acc..64e8eaa8ff 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -6,7 +6,6 @@ version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
     {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -18,7 +17,6 @@ version = "3.10.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5077b1a5f40ffa3ba1f40d537d3bec4383988ee51fbba6b74aa8fb1bc466599e"},
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d6a14a4d93b5b3c2891fca94fa9d41b2322a68194422bef0dd5ec1e57d7d298"},
@@ -131,7 +129,6 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -146,7 +143,6 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -161,7 +157,6 @@ version = "4.5.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"},
     {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"},
@@ -184,8 +179,6 @@ version = "3.11.0"
 description = "In-process task scheduler with Cron-like capabilities"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "APScheduler-3.11.0-py3-none-any.whl", hash = "sha256:fc134ca32e50f5eadcc4938e3a4545ab19131435e851abb40b34d63d5141c6da"},
     {file = "apscheduler-3.11.0.tar.gz", hash = "sha256:4c622d250b0955a65d5d0eb91c33e6d43fd879834bf541e0a18661ae60460133"},
@@ -214,8 +207,6 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_full_version < \"3.11.3\" and (extra == \"extra-proxy\" or extra == \"proxy\" or python_version < \"3.11\")"
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -227,7 +218,6 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
@@ -247,8 +237,6 @@ version = "1.32.0"
 description = "Microsoft Azure Core Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_core-1.32.0-py3-none-any.whl", hash = "sha256:eac191a0efb23bfa83fddf321b27b122b4ec847befa3091fa736a5c32c50d7b4"},
     {file = "azure_core-1.32.0.tar.gz", hash = "sha256:22b3c35d6b2dae14990f6c1be2912bf23ffe50b220e708a28ab1bb92b1c730e5"},
@@ -268,8 +256,6 @@ version = "1.21.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_identity-1.21.0-py3-none-any.whl", hash = "sha256:258ea6325537352440f71b35c3dffe9d240eae4a5126c1b7ce5efd5766bd9fd9"},
     {file = "azure_identity-1.21.0.tar.gz", hash = "sha256:ea22ce6e6b0f429bc1b8d9212d5b9f9877bd4c82f1724bfa910760612c07a9a6"},
@@ -288,8 +274,6 @@ version = "4.9.0"
 description = "Microsoft Azure Key Vault Secrets Client Library for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_keyvault_secrets-4.9.0-py3-none-any.whl", hash = "sha256:33c7e2aca2cc2092cebc8c6e96eca36a5cc30c767e16ea429c5fa21270e9fba6"},
     {file = "azure_keyvault_secrets-4.9.0.tar.gz", hash = "sha256:2a03bb2ffd9a0d6c8ad1c330d9d0310113985a9de06607ece378fd72a5889fe1"},
@@ -306,8 +290,6 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = true
 python-versions = ">=3.7,<4.0"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -319,8 +301,6 @@ version = "0.2.1"
 description = "Backport of the standard library zoneinfo module"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\" and python_version < \"3.9\""
 files = [
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"},
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"},
@@ -349,7 +329,6 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -396,8 +375,6 @@ version = "1.34.34"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">= 3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "boto3-1.34.34-py3-none-any.whl", hash = "sha256:33a8b6d9136fa7427160edb92d2e50f2035f04e9d63a2d1027349053e12626aa"},
     {file = "boto3-1.34.34.tar.gz", hash = "sha256:b2f321e20966f021ec800b7f2c01287a3dd04fc5965acdfbaa9c505a24ca45d1"},
@@ -417,8 +394,6 @@ version = "1.34.162"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "botocore-1.34.162-py3-none-any.whl", hash = "sha256:2d918b02db88d27a75b48275e6fb2506e9adaaddbec1ffa6a8a0898b34e769be"},
     {file = "botocore-1.34.162.tar.gz", hash = "sha256:adc23be4fb99ad31961236342b7cbf3c0bfc62532cd02852196032e8c0d682f3"},
@@ -428,8 +403,8 @@ files = [
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
@@ -441,8 +416,6 @@ version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
     {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
@@ -454,7 +427,6 @@ version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
     {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
@@ -466,8 +438,6 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -547,7 +517,6 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -649,7 +618,6 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -664,12 +632,10 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main", "dev"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""}
 
 [[package]]
 name = "coloredlogs"
@@ -677,8 +643,6 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -696,8 +660,6 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\""
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -747,7 +709,6 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -759,8 +720,6 @@ version = "2.6.1"
 description = "DNS toolkit"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
     {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
@@ -781,8 +740,6 @@ version = "2.2.0"
 description = "A robust email address syntax and deliverability validation library."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
     {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
@@ -798,8 +755,6 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -814,8 +769,6 @@ version = "0.115.12"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d"},
     {file = "fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681"},
@@ -836,8 +789,6 @@ version = "0.16.0"
 description = "FastAPI plugin to enable SSO to most common providers (such as Facebook login, Google login and login via Microsoft Office 365 Account)"
 optional = true
 python-versions = "<4.0,>=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "fastapi_sso-0.16.0-py3-none-any.whl", hash = "sha256:3a66a942474ef9756d3a9d8b945d55bd9faf99781facdb9b87a40b73d6d6b0c3"},
     {file = "fastapi_sso-0.16.0.tar.gz", hash = "sha256:f3941f986347566b7d3747c710cf474a907f581bfb6697ff3bb3e44eb76b438c"},
@@ -856,7 +807,6 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -873,7 +823,6 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
-groups = ["dev"]
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -890,7 +839,6 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
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@@ -992,7 +940,6 @@ version = "2025.3.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
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@@ -1032,8 +979,6 @@ version = "2.24.2"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1043,12 +988,12 @@ files = [
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 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
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     {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
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     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
     {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
@@ -1069,8 +1014,6 @@ version = "2.38.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1095,8 +1038,6 @@ version = "2.24.2"
 description = "Google Cloud Kms API client library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1115,8 +1056,6 @@ version = "1.69.2"
 description = "Common protobufs used in Google APIs"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1135,8 +1074,6 @@ version = "0.14.2"
 description = "IAM API client library"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1153,8 +1090,6 @@ version = "1.70.0"
 description = "HTTP/2-based RPC framework"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1216,14 +1151,75 @@ files = [
 [package.extras]
 protobuf = ["grpcio-tools (>=1.70.0)"]
 
+[[package]]
+name = "grpcio"
+version = "1.71.0"
+description = "HTTP/2-based RPC framework"
+optional = true
+python-versions = ">=3.9"
+files = [
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+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.71.0)"]
+
 [[package]]
 name = "grpcio-status"
 version = "1.70.0"
 description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
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@@ -1234,14 +1230,28 @@ googleapis-common-protos = ">=1.5.5"
 grpcio = ">=1.70.0"
 protobuf = ">=5.26.1,<6.0dev"
 
+[[package]]
+name = "grpcio-status"
+version = "1.71.0"
+description = "Status proto mapping for gRPC"
+optional = true
+python-versions = ">=3.9"
+files = [
+    {file = "grpcio_status-1.71.0-py3-none-any.whl", hash = "sha256:843934ef8c09e3e858952887467f8256aac3910c55f077a359a65b2b3cde3e68"},
+    {file = "grpcio_status-1.71.0.tar.gz", hash = "sha256:11405fed67b68f406b3f3c7c5ae5104a79d2d309666d10d61b152e91d28fb968"},
+]
+
+[package.dependencies]
+googleapis-common-protos = ">=1.5.5"
+grpcio = ">=1.71.0"
+protobuf = ">=5.26.1,<6.0dev"
+
 [[package]]
 name = "gunicorn"
 version = "23.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
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@@ -1263,19 +1273,43 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
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 ]
 
+[[package]]
+name = "h2"
+version = "4.1.0"
+description = "HTTP/2 State-Machine based protocol implementation"
+optional = false
+python-versions = ">=3.6.1"
+files = [
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+]
+
+[package.dependencies]
+hpack = ">=4.0,<5"
+hyperframe = ">=6.0,<7"
+
+[[package]]
+name = "hpack"
+version = "4.0.0"
+description = "Pure-Python HPACK header compression"
+optional = false
+python-versions = ">=3.6.1"
+files = [
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+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
     {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -1297,7 +1331,6 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1322,8 +1355,6 @@ version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
@@ -1335,7 +1366,6 @@ version = "0.29.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main"]
 files = [
     {file = "huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa"},
     {file = "huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5"},
@@ -1370,8 +1400,6 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1380,13 +1408,48 @@ files = [
 [package.dependencies]
 pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
+[[package]]
+name = "hypercorn"
+version = "0.15.0"
+description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "hypercorn-0.15.0-py3-none-any.whl", hash = "sha256:5008944999612fd188d7a1ca02e89d20065642b89503020ac392dfed11840730"},
+    {file = "hypercorn-0.15.0.tar.gz", hash = "sha256:d517f68d5dc7afa9a9d50ecefb0f769f466ebe8c1c18d2c2f447a24e763c9a63"},
+]
+
+[package.dependencies]
+h11 = "*"
+h2 = ">=3.1.0"
+priority = "*"
+taskgroup = {version = "*", markers = "python_version < \"3.11\""}
+tomli = {version = "*", markers = "python_version < \"3.11\""}
+wsproto = ">=0.14.0"
+
+[package.extras]
+docs = ["pydata_sphinx_theme", "sphinxcontrib_mermaid"]
+h3 = ["aioquic (>=0.9.0,<1.0)"]
+trio = ["exceptiongroup (>=1.1.0)", "trio (>=0.22.0)"]
+uvloop = ["uvloop"]
+
+[[package]]
+name = "hyperframe"
+version = "6.0.1"
+description = "HTTP/2 framing layer for Python"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
+    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1401,7 +1464,6 @@ version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
     {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
@@ -1425,8 +1487,6 @@ version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version < \"3.9\""
 files = [
     {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
     {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
@@ -1449,7 +1509,6 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -1461,8 +1520,6 @@ version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
     {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
@@ -1474,7 +1531,6 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1492,7 +1548,6 @@ version = "0.9.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jiter-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:816ec9b60fdfd1fec87da1d7ed46c66c44ffec37ab2ef7de5b147b2fce3fd5ad"},
     {file = "jiter-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b1d3086f8a3ee0194ecf2008cf81286a5c3e540d977fa038ff23576c023c0ea"},
@@ -1578,8 +1633,6 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -1591,7 +1644,6 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1615,7 +1667,6 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -1631,7 +1682,6 @@ version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1701,7 +1751,6 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1713,8 +1762,6 @@ version = "1.5.0"
 description = "Model Context Protocol SDK"
 optional = true
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "mcp-1.5.0-py3-none-any.whl", hash = "sha256:51c3f35ce93cb702f7513c12406bbea9665ef75a08db909200b07da9db641527"},
     {file = "mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9"},
@@ -1741,8 +1788,6 @@ version = "0.4.1"
 description = ""
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "ml_dtypes-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1fe8b5b5e70cd67211db94b05cfd58dace592f24489b038dc6f9fe347d2e07d5"},
     {file = "ml_dtypes-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c09a6d11d8475c2a9fd2bc0695628aec105f97cab3b3a3fb7c9660348ff7d24"},
@@ -1765,10 +1810,10 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
-    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
     {version = ">1.20", markers = "python_version < \"3.10\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 
 [package.extras]
@@ -1780,8 +1825,6 @@ version = "1.32.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "msal-1.32.0-py3-none-any.whl", hash = "sha256:9dbac5384a10bbbf4dae5c7ea0d707d14e087b92c5aa4954b3feaa2d1aa0bcb7"},
     {file = "msal-1.32.0.tar.gz", hash = "sha256:5445fe3af1da6be484991a7ab32eaa82461dc2347de105b76af92c610c3335c2"},
@@ -1801,8 +1844,6 @@ version = "1.3.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "msal_extensions-1.3.0-py3-none-any.whl", hash = "sha256:105328ddcbdd342016c9949d8f89e3917554740c8ab26669c0fa0e069e730a0e"},
     {file = "msal_extensions-1.3.0.tar.gz", hash = "sha256:96918996642b38c78cd59b55efa0f06fd1373c90e0949be8615697c048fba62c"},
@@ -1820,7 +1861,6 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -1925,7 +1965,6 @@ version = "1.14.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "mypy-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52686e37cf13d559f668aa398dd7ddf1f92c5d613e4f8cb262be2fb4fedb0fcb"},
     {file = "mypy-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1fb545ca340537d4b45d3eecdb3def05e913299ca72c290326be19b3804b39c0"},
@@ -1985,7 +2024,6 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
-groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1995,10 +2033,8 @@ files = [
 name = "nodeenv"
 version = "1.9.1"
 description = "Node.js virtual environment builder"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
@@ -2010,8 +2046,6 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.12\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -2057,8 +2091,6 @@ version = "2.2.4"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version >= \"3.12\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "numpy-2.2.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8146f3550d627252269ac42ae660281d673eb6f8b32f113538e0cc2a9aed42b9"},
     {file = "numpy-2.2.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e642d86b8f956098b564a45e6f6ce68a22c2c97a04f5acd3f221f57b8cb850ae"},
@@ -2123,8 +2155,6 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -2137,14 +2167,13 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "openai"
-version = "1.68.2"
+version = "1.69.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
-    {file = "openai-1.68.2-py3-none-any.whl", hash = "sha256:24484cb5c9a33b58576fdc5acf0e5f92603024a4e39d0b99793dfa1eb14c2b36"},
-    {file = "openai-1.68.2.tar.gz", hash = "sha256:b720f0a95a1dbe1429c0d9bb62096a0d98057bcda82516f6e8af10284bdd5b19"},
+    {file = "openai-1.69.0-py3-none-any.whl", hash = "sha256:73c4b2ddfd050060f8d93c70367189bd891e70a5adb6d69c04c3571f4fea5627"},
+    {file = "openai-1.69.0.tar.gz", hash = "sha256:7b8a10a8ff77e1ae827e5e4c8480410af2070fb68bc973d6c994cf8218f1f98d"},
 ]
 
 [package.dependencies]
@@ -2168,8 +2197,6 @@ version = "3.10.15"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"},
     {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"},
@@ -2258,7 +2285,6 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2270,7 +2296,6 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -2282,8 +2307,6 @@ version = "1.3.10"
 description = "Resolve a name to an object."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version < \"3.9\""
 files = [
     {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
     {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
@@ -2295,7 +2318,6 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -2312,7 +2334,6 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2322,14 +2343,23 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "priority"
+version = "2.0.0"
+description = "A pure-Python implementation of the HTTP/2 priority tree"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
+    {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
+]
+
 [[package]]
 name = "prisma"
 version = "0.11.0"
 description = "Prisma Client Python is an auto-generated and fully type-safe database client"
-optional = true
+optional = false
 python-versions = ">=3.7.0"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "prisma-0.11.0-py3-none-any.whl", hash = "sha256:22bb869e59a2968b99f3483bb417717273ffbc569fd1e9ceed95e5614cbaf53a"},
     {file = "prisma-0.11.0.tar.gz", hash = "sha256:3f2f2fd2361e1ec5ff655f2a04c7860c2f2a5bc4c91f78ca9c5c6349735bf693"},
@@ -2355,7 +2385,6 @@ version = "0.2.0"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
@@ -2463,8 +2492,6 @@ version = "1.26.1"
 description = "Beautiful, Pythonic protocol buffers"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "proto_plus-1.26.1-py3-none-any.whl", hash = "sha256:13285478c2dcf2abb829db158e1047e2f1e8d63a077d94263c2b88b043c75a66"},
     {file = "proto_plus-1.26.1.tar.gz", hash = "sha256:21a515a4c4c0088a773899e23c7bbade3d18f9c66c73edd4c7ee3816bc96a012"},
@@ -2482,8 +2509,6 @@ version = "5.29.4"
 description = ""
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "protobuf-5.29.4-cp310-abi3-win32.whl", hash = "sha256:13eb236f8eb9ec34e63fc8b1d6efd2777d062fa6aaa68268fb67cf77f6839ad7"},
     {file = "protobuf-5.29.4-cp310-abi3-win_amd64.whl", hash = "sha256:bcefcdf3976233f8a502d265eb65ea740c989bacc6c30a58290ed0e519eb4b8d"},
@@ -2504,8 +2529,6 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -2513,19 +2536,17 @@ files = [
 
 [[package]]
 name = "pyasn1-modules"
-version = "0.4.1"
+version = "0.4.2"
 description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
-    {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
-    {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
+    {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
+    {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
 ]
 
 [package.dependencies]
-pyasn1 = ">=0.4.6,<0.7.0"
+pyasn1 = ">=0.6.1,<0.7.0"
 
 [[package]]
 name = "pycodestyle"
@@ -2533,7 +2554,6 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2545,8 +2565,6 @@ version = "2.22"
 description = "C parser in Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2558,7 +2576,6 @@ version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"},
     {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"},
@@ -2580,7 +2597,6 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"},
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"},
@@ -2693,8 +2709,6 @@ version = "2.8.1"
 description = "Settings management using Pydantic"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "pydantic_settings-2.8.1-py3-none-any.whl", hash = "sha256:81942d5ac3d905f7f3ee1a70df5dfb62d5569c12f51a5a647defc1c3d9ee2e9c"},
     {file = "pydantic_settings-2.8.1.tar.gz", hash = "sha256:d5c663dfbe9db9d5e1c646b2e161da12f0d734d422ee56f567d0ea2cee4e8585"},
@@ -2715,7 +2729,6 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -2727,8 +2740,6 @@ version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\" or extra == \"extra-proxy\""
 files = [
     {file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"},
     {file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"},
@@ -2749,8 +2760,6 @@ version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "PyNaCl-1.5.0-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:401002a4aaa07c9414132aaed7f6836ff98f59277a234704ff66878c2ee4a0d1"},
     {file = "PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:52cb72a79269189d4e0dc537556f4740f7f0a9ec41c1322598799b0bdad4ef92"},
@@ -2777,8 +2786,6 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and sys_platform == \"win32\" and python_version < \"3.14\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -2793,7 +2800,6 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -2816,7 +2822,6 @@ version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
     {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
@@ -2835,7 +2840,6 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
     {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
@@ -2853,8 +2857,6 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -2869,7 +2871,6 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -2884,8 +2885,6 @@ version = "0.0.18"
 description = "A streaming multipart parser for Python"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "python_multipart-0.0.18-py3-none-any.whl", hash = "sha256:efe91480f485f6a361427a541db4796f9e1591afc0fb8e7a4ba06bfbc6708996"},
     {file = "python_multipart-0.0.18.tar.gz", hash = "sha256:7a68db60c8bfb82e460637fa4750727b45af1d5e2ed215593f917f64694d34fe"},
@@ -2897,8 +2896,6 @@ version = "3.0.0"
 description = "Universally unique lexicographically sortable identifier"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "python_ulid-3.0.0-py3-none-any.whl", hash = "sha256:e4c4942ff50dbd79167ad01ac725ec58f924b4018025ce22c858bfcff99a5e31"},
     {file = "python_ulid-3.0.0.tar.gz", hash = "sha256:e50296a47dc8209d28629a22fc81ca26c00982c78934bd7766377ba37ea49a9f"},
@@ -2913,7 +2910,6 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -2976,8 +2972,6 @@ version = "5.2.1"
 description = "Python client for Redis database and key-value store"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\" or extra == \"proxy\""
 files = [
     {file = "redis-5.2.1-py3-none-any.whl", hash = "sha256:ee7e1056b9aea0f04c6c2ed59452947f34c4940ee025f5dd83e6a6418b6989e4"},
     {file = "redis-5.2.1.tar.gz", hash = "sha256:16f2e22dff21d5125e8481515e386711a34cbec50f0e44413dd7d9c060a54e0f"},
@@ -2996,8 +2990,6 @@ version = "0.4.1"
 description = "Python client library and CLI for using Redis as a vector database"
 optional = true
 python-versions = "<3.14,>=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "redisvl-0.4.1-py3-none-any.whl", hash = "sha256:6db5d5bc95b1fe8032a1cdae74ce1c65bc7fe9054e5429b5d34d5a91d28bae5f"},
     {file = "redisvl-0.4.1.tar.gz", hash = "sha256:fd6a36426ba94792c0efca20915c31232d4ee3cc58eb23794a62c142696401e6"},
@@ -3032,7 +3024,6 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -3048,7 +3039,6 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -3152,7 +3142,6 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -3174,8 +3163,6 @@ version = "0.8.0"
 description = "Resend Python SDK"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "resend-0.8.0-py2.py3-none-any.whl", hash = "sha256:adc1515dadf4f4fc6b90db55a237f0f37fc56fd74287a986519a8a187fdb661d"},
     {file = "resend-0.8.0.tar.gz", hash = "sha256:94142394701724dbcfcd8f760f675c662a1025013e741dd7cc773ca885526257"},
@@ -3184,13 +3171,26 @@ files = [
 [package.dependencies]
 requests = "2.31.0"
 
+[[package]]
+name = "respx"
+version = "0.20.2"
+description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "respx-0.20.2-py2.py3-none-any.whl", hash = "sha256:ab8e1cf6da28a5b2dd883ea617f8130f77f676736e6e9e4a25817ad116a172c9"},
+    {file = "respx-0.20.2.tar.gz", hash = "sha256:07cf4108b1c88b82010f67d3c831dae33a375c7b436e54d87737c7f9f99be643"},
+]
+
+[package.dependencies]
+httpx = ">=0.21.0"
+
 [[package]]
 name = "rpds-py"
 version = "0.20.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"},
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"},
@@ -3303,8 +3303,6 @@ version = "2.2.0"
 description = "RQ is a simple, lightweight, library for creating background jobs, and processing them."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "rq-2.2.0-py3-none-any.whl", hash = "sha256:dacbfe1ccb79a45c8cd95dec7951620679fa0195570b63da3f9347622d33accc"},
     {file = "rq-2.2.0.tar.gz", hash = "sha256:b636760f1e4c183022031c142faa0483e687885824e9732ba2953f994104e203"},
@@ -3320,8 +3318,6 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = true
 python-versions = ">=3.6,<4"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -3336,8 +3332,6 @@ version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"},
     {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
@@ -3355,8 +3349,6 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "extra == \"extra-proxy\" or extra == \"proxy\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -3368,7 +3360,6 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3380,8 +3371,6 @@ version = "2.1.3"
 description = "SSE plugin for Starlette"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"},
     {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"},
@@ -3401,8 +3390,6 @@ version = "0.44.0"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "starlette-0.44.0-py3-none-any.whl", hash = "sha256:19edeb75844c16dcd4f9dd72f22f9108c1539f3fc9c4c88885654fef64f85aea"},
     {file = "starlette-0.44.0.tar.gz", hash = "sha256:e35166950a3ccccc701962fe0711db0bc14f2ecd37c6f9fe5e3eae0cbaea8715"},
@@ -3421,8 +3408,6 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -3431,14 +3416,27 @@ files = [
 [package.extras]
 widechars = ["wcwidth"]
 
+[[package]]
+name = "taskgroup"
+version = "0.2.2"
+description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout"
+optional = false
+python-versions = "*"
+files = [
+    {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"},
+    {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"},
+]
+
+[package.dependencies]
+exceptiongroup = "*"
+typing_extensions = ">=4.12.2,<5"
+
 [[package]]
 name = "tenacity"
 version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
     {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
@@ -3454,7 +3452,6 @@ version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
@@ -3507,7 +3504,6 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -3540,8 +3536,6 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -3581,10 +3575,8 @@ files = [
 name = "tomlkit"
 version = "0.13.2"
 description = "Style preserving TOML library"
-optional = true
+optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"extra-proxy\""
 files = [
     {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
     {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
@@ -3596,7 +3588,6 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -3614,14 +3605,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
+version = "4.13.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+    {file = "typing_extensions-4.13.0-py3-none-any.whl", hash = "sha256:c8dd92cc0d6425a97c18fbb9d1954e5ff92c1ca881a309c45f06ebc0b79058e5"},
+    {file = "typing_extensions-4.13.0.tar.gz", hash = "sha256:0a4ac55a5820789d87e297727d229866c9650f6521b64206413c4fbada24d95b"},
 ]
 
 [[package]]
@@ -3630,8 +3620,6 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
-groups = ["main"]
-markers = "extra == \"proxy\" and platform_system == \"Windows\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -3643,8 +3631,6 @@ version = "5.2"
 description = "tzinfo object for the local timezone"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
     {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
@@ -3663,8 +3649,6 @@ version = "1.26.20"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
-groups = ["main"]
-markers = "python_version < \"3.10\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
@@ -3681,8 +3665,6 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
@@ -3700,8 +3682,6 @@ version = "0.29.0"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -3721,8 +3701,6 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -3774,8 +3752,6 @@ version = "13.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"proxy\""
 files = [
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f48c749857f8fb598fb890a75f540e3221d0976ed0bf879cf3c7eef34151acee"},
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c7e72ce6bda6fb9409cc1e8164dd41d7c91466fb599eb047cfda72fe758a34a7"},
@@ -3865,13 +3841,26 @@ files = [
     {file = "websockets-13.1.tar.gz", hash = "sha256:a3b3366087c1bc0a2795111edcadddb8b3b59509d5db5d7ea3fdd69f954a8878"},
 ]
 
+[[package]]
+name = "wsproto"
+version = "1.2.0"
+description = "WebSockets state-machine based protocol implementation"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
+    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
+]
+
+[package.dependencies]
+h11 = ">=0.9.0,<1"
+
 [[package]]
 name = "yarl"
 version = "1.15.2"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e4ee8b8639070ff246ad3649294336b06db37a94bdea0d09ea491603e0be73b8"},
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a7cf963a357c5f00cb55b1955df8bbe68d2f2f65de065160a1c26b85a1e44172"},
@@ -3984,7 +3973,6 @@ version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
@@ -4003,6 +3991,6 @@ extra-proxy = ["azure-identity", "azure-keyvault-secrets", "google-cloud-kms", "
 proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi", "fastapi-sso", "gunicorn", "mcp", "orjson", "pynacl", "python-multipart", "pyyaml", "rq", "uvicorn", "uvloop", "websockets"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "9c863b11189227a035a9130c8872de44fe7c5e1e32b47569a56af86e3f6570c5"
+content-hash = "0f195796116a7c7a4a04d9958a7662d74baccb5266f531bb58a4403fd4db4e0e"
diff --git a/pyproject.toml b/pyproject.toml
index c3b0fd3224..325bf8b4e7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -99,6 +99,11 @@ mypy = "^1.0"
 pytest = "^7.4.3"
 pytest-mock = "^3.12.0"
 pytest-asyncio = "^0.21.1"
+respx = "^0.20.2"
+
+[tool.poetry.group.proxy-dev.dependencies]
+prisma = "0.11.0"
+hypercorn = "^0.15.0"
 
 [build-system]
 requires = ["poetry-core", "wheel"]
diff --git a/tests/litellm/conftest.py b/tests/litellm/conftest.py
new file mode 100644
index 0000000000..b3561d8a62
--- /dev/null
+++ b/tests/litellm/conftest.py
@@ -0,0 +1,63 @@
+# conftest.py
+
+import importlib
+import os
+import sys
+
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import litellm
+
+
+@pytest.fixture(scope="function", autouse=True)
+def setup_and_teardown():
+    """
+    This fixture reloads litellm before every function. To speed up testing by removing callbacks being chained.
+    """
+    curr_dir = os.getcwd()  # Get the current working directory
+    sys.path.insert(
+        0, os.path.abspath("../..")
+    )  # Adds the project directory to the system path
+
+    import litellm
+    from litellm import Router
+
+    importlib.reload(litellm)
+
+    try:
+        if hasattr(litellm, "proxy") and hasattr(litellm.proxy, "proxy_server"):
+            import litellm.proxy.proxy_server
+
+            importlib.reload(litellm.proxy.proxy_server)
+    except Exception as e:
+        print(f"Error reloading litellm.proxy.proxy_server: {e}")
+
+    import asyncio
+
+    loop = asyncio.get_event_loop_policy().new_event_loop()
+    asyncio.set_event_loop(loop)
+    print(litellm)
+    # from litellm import Router, completion, aembedding, acompletion, embedding
+    yield
+
+    # Teardown code (executes after the yield point)
+    loop.close()  # Close the loop created earlier
+    asyncio.set_event_loop(None)  # Remove the reference to the loop
+
+
+def pytest_collection_modifyitems(config, items):
+    # Separate tests in 'test_amazing_proxy_custom_logger.py' and other tests
+    custom_logger_tests = [
+        item for item in items if "custom_logger" in item.parent.name
+    ]
+    other_tests = [item for item in items if "custom_logger" not in item.parent.name]
+
+    # Sort tests based on their names
+    custom_logger_tests.sort(key=lambda x: x.name)
+    other_tests.sort(key=lambda x: x.name)
+
+    # Reorder the items list
+    items[:] = custom_logger_tests + other_tests
diff --git a/tests/litellm/integrations/test_custom_prompt_management.py b/tests/litellm/integrations/test_custom_prompt_management.py
index 00dc6fe96f..646b222e72 100644
--- a/tests/litellm/integrations/test_custom_prompt_management.py
+++ b/tests/litellm/integrations/test_custom_prompt_management.py
@@ -19,6 +19,11 @@ from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import StandardCallbackDynamicParams
 
 
+@pytest.fixture(autouse=True)
+def setup_anthropic_api_key(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-some-key")
+
+
 class TestCustomPromptManagement(CustomPromptManagement):
     def get_chat_completion_prompt(
         self,
@@ -50,7 +55,7 @@ class TestCustomPromptManagement(CustomPromptManagement):
 
 
 @pytest.mark.asyncio
-async def test_custom_prompt_management_with_prompt_id():
+async def test_custom_prompt_management_with_prompt_id(monkeypatch):
     custom_prompt_management = TestCustomPromptManagement()
     litellm.callbacks = [custom_prompt_management]
 
diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index a5ee9ddf70..609fbbcc52 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -26,6 +26,11 @@ def client():
     return TestClient(app)
 
 
+@pytest.fixture(autouse=True)
+def add_anthropic_api_key_to_env(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-1234567890")
+
+
 @pytest.mark.asyncio
 async def test_ui_view_spend_logs_with_user_id(client, monkeypatch):
     # Mock data for the test
@@ -500,7 +505,7 @@ class TestSpendLogsPayload:
         return mock_response
 
     @pytest.mark.asyncio
-    async def test_spend_logs_payload_success_log_with_api_base(self):
+    async def test_spend_logs_payload_success_log_with_api_base(self, monkeypatch):
         from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
 
         litellm.callbacks = [_ProxyDBLogger(message_logging=False)]
diff --git a/tests/litellm/proxy/test_proxy_server.py b/tests/litellm/proxy/test_proxy_server.py
index 77b521e836..c1e935addd 100644
--- a/tests/litellm/proxy/test_proxy_server.py
+++ b/tests/litellm/proxy/test_proxy_server.py
@@ -9,6 +9,7 @@ from unittest.mock import AsyncMock, MagicMock, mock_open, patch
 import click
 import httpx
 import pytest
+import yaml
 from fastapi import FastAPI
 from fastapi.testclient import TestClient
 
@@ -74,3 +75,92 @@ async def test_initialize_scheduled_jobs_credentials(monkeypatch):
             call[0] for call in mock_proxy_config.get_credentials.mock_calls
         ]
         assert len(mock_scheduler_calls) > 0
+
+
+# Mock Prisma
+class MockPrisma:
+    def __init__(self, database_url=None, proxy_logging_obj=None, http_client=None):
+        self.database_url = database_url
+        self.proxy_logging_obj = proxy_logging_obj
+        self.http_client = http_client
+
+    async def connect(self):
+        pass
+
+    async def disconnect(self):
+        pass
+
+
+mock_prisma = MockPrisma()
+
+
+@patch(
+    "litellm.proxy.proxy_server.ProxyStartupEvent._setup_prisma_client",
+    return_value=mock_prisma,
+)
+@pytest.mark.asyncio
+async def test_aaaproxy_startup_master_key(mock_prisma, monkeypatch, tmp_path):
+    """
+    Test that master_key is correctly loaded from either config.yaml or environment variables
+    """
+    import yaml
+    from fastapi import FastAPI
+
+    # Import happens here - this is when the module probably reads the config path
+    from litellm.proxy.proxy_server import proxy_startup_event
+
+    # Mock the Prisma import
+    monkeypatch.setattr("litellm.proxy.proxy_server.PrismaClient", MockPrisma)
+
+    # Create test app
+    app = FastAPI()
+
+    # Test Case 1: Master key from config.yaml
+    test_master_key = "sk-12345"
+    test_config = {"general_settings": {"master_key": test_master_key}}
+
+    # Create a temporary config file
+    config_path = tmp_path / "config.yaml"
+    with open(config_path, "w") as f:
+        yaml.dump(test_config, f)
+
+    print(f"SET ENV VARIABLE - CONFIG_FILE_PATH, str(config_path): {str(config_path)}")
+    # Second setting of CONFIG_FILE_PATH to a different value
+    monkeypatch.setenv("CONFIG_FILE_PATH", str(config_path))
+    print(f"config_path: {config_path}")
+    print(f"os.getenv('CONFIG_FILE_PATH'): {os.getenv('CONFIG_FILE_PATH')}")
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_master_key
+
+    # Test Case 2: Master key from environment variable
+    test_env_master_key = "sk-67890"
+
+    # Create empty config
+    empty_config = {"general_settings": {}}
+    with open(config_path, "w") as f:
+        yaml.dump(empty_config, f)
+
+    monkeypatch.setenv("LITELLM_MASTER_KEY", test_env_master_key)
+    print("test_env_master_key: {}".format(test_env_master_key))
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_env_master_key
+
+    # Test Case 3: Master key with os.environ prefix
+    test_resolved_key = "sk-resolved-key"
+    test_config_with_prefix = {
+        "general_settings": {"master_key": "os.environ/CUSTOM_MASTER_KEY"}
+    }
+
+    # Create config with os.environ prefix
+    with open(config_path, "w") as f:
+        yaml.dump(test_config_with_prefix, f)
+
+    monkeypatch.setenv("CUSTOM_MASTER_KEY", test_resolved_key)
+    async with proxy_startup_event(app):
+        from litellm.proxy.proxy_server import master_key
+
+        assert master_key == test_resolved_key
diff --git a/tests/litellm/rerank_api/test_rerank_main.py b/tests/litellm/rerank_api/test_rerank_main.py
deleted file mode 100644
index d3051b81f9..0000000000
--- a/tests/litellm/rerank_api/test_rerank_main.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import json
-import os
-import sys
-
-import pytest
-from fastapi.testclient import TestClient
-
-sys.path.insert(
-    0, os.path.abspath("../../..")
-)  # Adds the parent directory to the system path
-from unittest.mock import MagicMock, patch
-
-from litellm import rerank
-from litellm.llms.custom_httpx.http_handler import HTTPHandler
-
-
-def test_rerank_infer_region_from_model_arn(monkeypatch):
-    mock_response = MagicMock()
-
-    monkeypatch.setenv("AWS_REGION_NAME", "us-east-1")
-    args = {
-        "model": "bedrock/arn:aws:bedrock:us-west-2::foundation-model/amazon.rerank-v1:0",
-        "query": "hello",
-        "documents": ["hello", "world"],
-    }
-
-    def return_val():
-        return {
-            "results": [
-                {"index": 0, "relevanceScore": 0.6716859340667725},
-                {"index": 1, "relevanceScore": 0.0004994205664843321},
-            ]
-        }
-
-    mock_response.json = return_val
-    mock_response.headers = {"key": "value"}
-    mock_response.status_code = 200
-
-    client = HTTPHandler()
-
-    with patch.object(client, "post", return_value=mock_response) as mock_post:
-        rerank(
-            model=args["model"],
-            query=args["query"],
-            documents=args["documents"],
-            client=client,
-        )
-        mock_post.assert_called_once()
-        print(f"mock_post.call_args: {mock_post.call_args.kwargs}")
-        assert "us-west-2" in mock_post.call_args.kwargs["url"]
-        assert "us-east-1" not in mock_post.call_args.kwargs["url"]
diff --git a/tests/litellm/test_main.py b/tests/litellm/test_main.py
index 4892300eb9..99ac8514f6 100644
--- a/tests/litellm/test_main.py
+++ b/tests/litellm/test_main.py
@@ -14,6 +14,15 @@ from unittest.mock import MagicMock, patch
 import litellm
 
 
+@pytest.fixture(autouse=True)
+def add_api_keys_to_env(monkeypatch):
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-1234567890")
+    monkeypatch.setenv("OPENAI_API_KEY", "sk-openai-api03-1234567890")
+    monkeypatch.setenv("AWS_ACCESS_KEY_ID", "my-fake-aws-access-key-id")
+    monkeypatch.setenv("AWS_SECRET_ACCESS_KEY", "my-fake-aws-secret-access-key")
+    monkeypatch.setenv("AWS_REGION", "us-east-1")
+
+
 @pytest.fixture
 def openai_api_response():
     mock_response_data = {
@@ -130,7 +139,8 @@ def test_completion_missing_role(openai_api_response):
 )
 @pytest.mark.parametrize("sync_mode", [True, False])
 @pytest.mark.asyncio
-async def test_url_with_format_param(model, sync_mode):
+async def test_url_with_format_param(model, sync_mode, monkeypatch):
+
     from litellm import acompletion, completion
     from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
diff --git a/tests/llm_translation/test_cohere.py b/tests/llm_translation/test_cohere.py
index f34098477d..72df3ad436 100644
--- a/tests/llm_translation/test_cohere.py
+++ b/tests/llm_translation/test_cohere.py
@@ -22,6 +22,7 @@ litellm.num_retries = 3
 
 
 @pytest.mark.parametrize("stream", [True, False])
+@pytest.mark.flaky(retries=3, delay=1)
 @pytest.mark.asyncio
 async def test_chat_completion_cohere_citations(stream):
     try:
diff --git a/tests/llm_translation/test_rerank.py b/tests/llm_translation/test_rerank.py
index d2cb2b6fea..5de6c1a8ec 100644
--- a/tests/llm_translation/test_rerank.py
+++ b/tests/llm_translation/test_rerank.py
@@ -481,3 +481,42 @@ def test_rerank_cohere_api():
     assert response.results[0]["document"]["text"] is not None
     assert response.results[0]["document"]["text"] == "hello"
     assert response.results[1]["document"]["text"] == "world"
+
+
+def test_rerank_infer_region_from_model_arn(monkeypatch):
+
+    mock_response = MagicMock()
+
+    monkeypatch.setenv("AWS_REGION_NAME", "us-east-1")
+    args = {
+        "model": "bedrock/arn:aws:bedrock:us-west-2::foundation-model/amazon.rerank-v1:0",
+        "query": "hello",
+        "documents": ["hello", "world"],
+    }
+
+    def return_val():
+        return {
+            "results": [
+                {"index": 0, "relevanceScore": 0.6716859340667725},
+                {"index": 1, "relevanceScore": 0.0004994205664843321},
+            ]
+        }
+
+    mock_response.json = return_val
+    mock_response.headers = {"key": "value"}
+    mock_response.status_code = 200
+
+    client = HTTPHandler()
+
+    with patch.object(client, "post", return_value=mock_response) as mock_post:
+        litellm.rerank(
+            model=args["model"],
+            query=args["query"],
+            documents=args["documents"],
+            client=client,
+        )
+
+        mock_post.assert_called_once()
+        print(f"mock_post.call_args: {mock_post.call_args.kwargs}")
+        assert "us-west-2" in mock_post.call_args.kwargs["url"]
+        assert "us-east-1" not in mock_post.call_args.kwargs["url"]

From 1a441def03e645c5e28ece1ceaa21876a3081afd Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 12:47:26 -0700
Subject: [PATCH 164/244] fix(logging): add json formatting for uncaught
 exceptions (#9615) (#9619)

* fix(logging): add json formatting for uncaught exceptions (#9615)

* fix(_logging.py): cleanup logging to catch unhandled exceptions

* fix(_logging.py): avoid using 'print' '

---------

Co-authored-by: Henrique Cavarsan <hcavarsan@yahoo.com.br>
---
 litellm/_logging.py                   | 60 +++++++++++++++++++++++++--
 litellm/proxy/_new_secret_config.yaml |  1 +
 2 files changed, 58 insertions(+), 3 deletions(-)

diff --git a/litellm/_logging.py b/litellm/_logging.py
index 151ae6003d..d7e2c9e778 100644
--- a/litellm/_logging.py
+++ b/litellm/_logging.py
@@ -1,6 +1,7 @@
 import json
 import logging
 import os
+import sys
 from datetime import datetime
 from logging import Formatter
 
@@ -40,9 +41,56 @@ class JsonFormatter(Formatter):
         return json.dumps(json_record)
 
 
+# Function to set up exception handlers for JSON logging
+def _setup_json_exception_handlers(formatter):
+    # Create a handler with JSON formatting for exceptions
+    error_handler = logging.StreamHandler()
+    error_handler.setFormatter(formatter)
+
+    # Setup excepthook for uncaught exceptions
+    def json_excepthook(exc_type, exc_value, exc_traceback):
+        record = logging.LogRecord(
+            name="LiteLLM",
+            level=logging.ERROR,
+            pathname="",
+            lineno=0,
+            msg=str(exc_value),
+            args=(),
+            exc_info=(exc_type, exc_value, exc_traceback),
+        )
+        error_handler.handle(record)
+
+    sys.excepthook = json_excepthook
+
+    # Configure asyncio exception handler if possible
+    try:
+        import asyncio
+
+        def async_json_exception_handler(loop, context):
+            exception = context.get("exception")
+            if exception:
+                record = logging.LogRecord(
+                    name="LiteLLM",
+                    level=logging.ERROR,
+                    pathname="",
+                    lineno=0,
+                    msg=str(exception),
+                    args=(),
+                    exc_info=None,
+                )
+                error_handler.handle(record)
+            else:
+                loop.default_exception_handler(context)
+
+        asyncio.get_event_loop().set_exception_handler(async_json_exception_handler)
+    except Exception:
+        pass
+
+
 # Create a formatter and set it for the handler
 if json_logs:
     handler.setFormatter(JsonFormatter())
+    _setup_json_exception_handlers(JsonFormatter())
 else:
     formatter = logging.Formatter(
         "\033[92m%(asctime)s - %(name)s:%(levelname)s\033[0m: %(filename)s:%(lineno)s - %(message)s",
@@ -65,18 +113,24 @@ def _turn_on_json():
     handler = logging.StreamHandler()
     handler.setFormatter(JsonFormatter())
 
-    # Define a list of the loggers to update
-    loggers = [verbose_router_logger, verbose_proxy_logger, verbose_logger]
+    # Define all loggers to update, including root logger
+    loggers = [logging.getLogger()] + [
+        verbose_router_logger,
+        verbose_proxy_logger,
+        verbose_logger,
+    ]
 
     # Iterate through each logger and update its handlers
     for logger in loggers:
         # Remove all existing handlers
         for h in logger.handlers[:]:
             logger.removeHandler(h)
-
         # Add the new handler
         logger.addHandler(handler)
 
+    # Set up exception handlers
+    _setup_json_exception_handlers(JsonFormatter())
+
 
 def _turn_on_debug():
     verbose_logger.setLevel(level=logging.DEBUG)  # set package log to debug
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index e57c5f3980..72edeb55ca 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -20,6 +20,7 @@ model_list:
 litellm_settings:
   num_retries: 0
   callbacks: ["prometheus"]
+  json_logs: true
 
 router_settings:
   routing_strategy: usage-based-routing-v2 # 👈 KEY CHANGE

From 9e4165ac75887608c91b9c5d8f1ad28b75af08eb Mon Sep 17 00:00:00 2001
From: Dbzman <dev@dbzman-online.eu>
Date: Fri, 28 Mar 2025 21:20:12 +0100
Subject: [PATCH 165/244] fix: wrong indentation for ttlSecondsAfterFinished
 (#9611)

---
 deploy/charts/litellm-helm/templates/migrations-job.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/deploy/charts/litellm-helm/templates/migrations-job.yaml b/deploy/charts/litellm-helm/templates/migrations-job.yaml
index e994c45548..1c4b6817fa 100644
--- a/deploy/charts/litellm-helm/templates/migrations-job.yaml
+++ b/deploy/charts/litellm-helm/templates/migrations-job.yaml
@@ -65,6 +65,6 @@ spec:
       tolerations:
         {{- toYaml . | nindent 8 }}
       {{- end }}
-      ttlSecondsAfterFinished: {{ .Values.migrationJob.ttlSecondsAfterFinished }}
+  ttlSecondsAfterFinished: {{ .Values.migrationJob.ttlSecondsAfterFinished }}
   backoffLimit: {{ .Values.migrationJob.backoffLimit }}
 {{- end }}

From 8c9ff23e195e074b5abc73ba24e8b8a3a7ffaa41 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 13:31:54 -0700
Subject: [PATCH 166/244] test(test_caching_handler.py): move to in-memory
 cache - prevent redis flakiness from impacting ci/cd

---
 tests/local_testing/test_caching_handler.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/tests/local_testing/test_caching_handler.py b/tests/local_testing/test_caching_handler.py
index c2466000c4..c0e3b8d306 100644
--- a/tests/local_testing/test_caching_handler.py
+++ b/tests/local_testing/test_caching_handler.py
@@ -40,12 +40,7 @@ import logging
 
 def setup_cache():
     # Set up the cache
-    cache = Cache(
-        type=LiteLLMCacheType.REDIS,
-        host=os.environ["REDIS_HOST"],
-        port=os.environ["REDIS_PORT"],
-        password=os.environ["REDIS_PASSWORD"],
-    )
+    cache = Cache(type=LiteLLMCacheType.LOCAL)
     litellm.cache = cache
     return cache
 

From 7c73987066dd1a003f5960c26847506237e2f323 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 15:17:01 -0700
Subject: [PATCH 167/244] fix loc of DBSpendUpdateTransactions

---
 litellm/proxy/_types.py                    |  9 +++++++++
 litellm/proxy/db/db_spend_update_writer.py |  6 ++----
 litellm/proxy/db/redis_update_buffer.py    | 12 ++----------
 3 files changed, 13 insertions(+), 14 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 17b4acd138..1c3251c12a 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2733,3 +2733,12 @@ class DailyUserSpendTransaction(TypedDict):
     prompt_tokens: int
     completion_tokens: int
     spend: float
+
+
+class DBSpendUpdateTransactions(TypedDict):
+    user_list_transactions: Optional[Dict[str, float]]
+    end_user_list_transactions: Optional[Dict[str, float]]
+    key_list_transactions: Optional[Dict[str, float]]
+    team_list_transactions: Optional[Dict[str, float]]
+    team_member_list_transactions: Optional[Dict[str, float]]
+    org_list_transactions: Optional[Dict[str, float]]
diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 17247aff74..8f175fc905 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -18,15 +18,13 @@ from litellm.caching import DualCache, RedisCache
 from litellm.constants import DB_SPEND_UPDATE_JOB_NAME
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
+    DBSpendUpdateTransactions,
     Litellm_EntityType,
     LiteLLM_UserTable,
     SpendLogsPayload,
 )
 from litellm.proxy.db.pod_lock_manager import PodLockManager
-from litellm.proxy.db.redis_update_buffer import (
-    DBSpendUpdateTransactions,
-    RedisUpdateBuffer,
-)
+from litellm.proxy.db.redis_update_buffer import RedisUpdateBuffer
 
 if TYPE_CHECKING:
     from litellm.proxy.utils import PrismaClient, ProxyLogging
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 2207911024..6f334e90ed 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -4,10 +4,11 @@ Handles buffering database `UPDATE` transactions in Redis before committing them
 This is to prevent deadlocks and improve reliability
 """
 
-from typing import TYPE_CHECKING, Any, Dict, Optional, TypedDict, Union, cast
+from typing import TYPE_CHECKING, Any, Dict, Optional, Union, cast
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import RedisCache
+from litellm.proxy._types import DBSpendUpdateTransactions
 from litellm.secret_managers.main import str_to_bool
 
 if TYPE_CHECKING:
@@ -16,15 +17,6 @@ else:
     PrismaClient = Any
 
 
-class DBSpendUpdateTransactions(TypedDict):
-    user_list_transactions: Optional[Dict[str, float]]
-    end_user_list_transactions: Optional[Dict[str, float]]
-    key_list_transactions: Optional[Dict[str, float]]
-    team_list_transactions: Optional[Dict[str, float]]
-    team_member_list_transactions: Optional[Dict[str, float]]
-    org_list_transactions: Optional[Dict[str, float]]
-
-
 class RedisUpdateBuffer:
     """
     Handles buffering database `UPDATE` transactions in Redis before committing them to the database

From 06a45706b295a5be82955bf78384bac3e8aa4254 Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Fri, 28 Mar 2025 15:18:05 -0700
Subject: [PATCH 168/244] Rebase 3

---
 .../vertex_ai/test_vertex_ai_common_utils.py  | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)

diff --git a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
index 9412cc6d81..77fa066197 100644
--- a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
+++ b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
@@ -153,3 +153,71 @@ async def test_get_supports_system_message():
         model="random-model-name", custom_llm_provider="vertex_ai"
     )
     assert result == False
+def test_basic_anyof_conversion():
+    """Test basic conversion of anyOf with 'null'."""
+    schema = {
+        "type": "object",
+        "properties": {
+            "example": {
+                "anyOf": [
+                    {"type": "string"},
+                    {"type": "null"}
+                ]
+            }
+        }
+    }
+
+    convert_anyof_null_to_nullable(schema)
+
+    expected = {
+        "type": "object",
+        "properties": {
+            "example": {
+                "anyOf": [
+                    {"type": "string", "nullable": True}
+                ]
+            }
+        }
+    }
+    assert schema == expected
+
+
+def test_nested_anyof_conversion():
+    """Test nested conversion with 'anyOf' inside properties."""
+    schema = {
+        "type": "object",
+        "properties": {
+            "outer": {
+                "type": "object",
+                "properties": {
+                    "inner": {
+                        "anyOf": [
+                            {"type": "array", "items": {"type": "string"}},
+                            {"type": "string"},
+                            {"type": "null"}
+                        ]
+                    }
+                }
+            }
+        }
+    }
+
+    convert_anyof_null_to_nullable(schema)
+
+    expected = {
+        "type": "object",
+        "properties": {
+            "outer": {
+                "type": "object",
+                "properties": {
+                    "inner": {
+                        "anyOf": [
+                            {"type": "array", "items": {"type": "string"}, "nullable": True},
+                            {"type": "string", "nullable": True}
+                        ]
+                    }
+                }
+            }
+        }
+    }
+    assert schema == expected

From 09daeac18851bb80b218ebf9cfb5a22d87cfe37d Mon Sep 17 00:00:00 2001
From: Nicholas Grabar <nickgrabar@gmail.com>
Date: Fri, 28 Mar 2025 15:15:14 -0700
Subject: [PATCH 169/244] Rebasing 2

---
 .../vertex_ai/test_vertex_ai_common_utils.py  | 22 +++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
index 77fa066197..5c2f70527c 100644
--- a/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
+++ b/tests/litellm/llms/vertex_ai/test_vertex_ai_common_utils.py
@@ -221,3 +221,25 @@ def test_nested_anyof_conversion():
         }
     }
     assert schema == expected
+
+def test_anyof_with_excessive_nesting():
+    """Test conversion with excessive nesting > max levels +1 deep."""
+    # generate a schema with excessive nesting
+    schema = {"type": "object", "properties": {}}
+    current = schema
+    for _ in range(DEFAULT_MAX_RECURSE_DEPTH + 1):
+        current["properties"] = {
+            "nested": {
+                "anyOf": [
+                    {"type": "string"},
+                    {"type": "null"}
+                ],
+                "properties": {}
+            }
+        }
+        current = current["properties"]["nested"]
+       
+
+    # running the conversion will raise an error
+    with pytest.raises(ValueError, match=f"Max depth of {DEFAULT_MAX_RECURSE_DEPTH} exceeded while processing schema. Please check the schema for excessive nesting."):
+        convert_anyof_null_to_nullable(schema)

From df136c5689af818ed44c1b7c28d8eb3cdc66f769 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 15:20:28 -0700
Subject: [PATCH 170/244] add docstring for DBSpendUpdateTransactions

---
 litellm/proxy/_types.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 1c3251c12a..24beef6b63 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2736,6 +2736,10 @@ class DailyUserSpendTransaction(TypedDict):
 
 
 class DBSpendUpdateTransactions(TypedDict):
+    """
+    Internal Data Structure for buffering spend updates in Redis or in memory before committing them to the database
+    """
+
     user_list_transactions: Optional[Dict[str, float]]
     end_user_list_transactions: Optional[Dict[str, float]]
     key_list_transactions: Optional[Dict[str, float]]

From 222898d7271726ca23d78e59b124553c83b74532 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 15:57:40 -0700
Subject: [PATCH 171/244] Fix anthropic thinking + response_format (#9594)

* fix(anthropic/chat/transformation.py): Don't set tool choice on response_format conversion when thinking is enabled

Not allowed by Anthropic

Fixes https://github.com/BerriAI/litellm/issues/8901

* refactor: move test to base anthropic chat tests

ensures consistent behaviour across vertex/anthropic/bedrock

* fix(anthropic/chat/transformation.py): if thinking token is specified and max tokens is not - ensure max token to anthropic is higher than thinking tokens

* feat(converse_transformation.py): correctly handle thinking + response format on Bedrock Converse

Fixes https://github.com/BerriAI/litellm/issues/8901

* fix(converse_transformation.py): correctly handle adding max tokens

* test: handle service unavailable error
---
 litellm/constants.py                          |  1 +
 litellm/llms/anthropic/chat/transformation.py | 17 ++++++++++--
 litellm/llms/base_llm/chat/transformation.py  | 26 ++++++++++++++++++-
 .../bedrock/chat/converse_transformation.py   | 12 +++++++--
 tests/llm_translation/base_llm_unit_tests.py  | 23 ++++++++++++++++
 .../test_anthropic_completion.py              |  6 +++++
 .../test_bedrock_completion.py                | 15 ++++++++++-
 tests/llm_translation/test_cohere.py          |  2 ++
 8 files changed, 96 insertions(+), 6 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index da66f897c9..de0a7e366d 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -7,6 +7,7 @@ DEFAULT_MAX_RETRIES = 2
 DEFAULT_FAILURE_THRESHOLD_PERCENT = (
     0.5  # default cooldown a deployment if 50% of requests fail in a given minute
 )
+DEFAULT_MAX_TOKENS = 4096
 DEFAULT_REDIS_SYNC_INTERVAL = 1
 DEFAULT_COOLDOWN_TIME_SECONDS = 5
 DEFAULT_REPLICATE_POLLING_RETRIES = 5
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 1a77c453f4..dcbc6775dc 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -300,6 +300,15 @@ class AnthropicConfig(BaseConfig):
         model: str,
         drop_params: bool,
     ) -> dict:
+
+        is_thinking_enabled = self.is_thinking_enabled(
+            non_default_params=non_default_params
+        )
+
+        ## handle thinking tokens
+        self.update_optional_params_with_thinking_tokens(
+            non_default_params=non_default_params, optional_params=optional_params
+        )
         for param, value in non_default_params.items():
             if param == "max_tokens":
                 optional_params["max_tokens"] = value
@@ -349,19 +358,23 @@ class AnthropicConfig(BaseConfig):
                 - Remember that the model will pass the input to the tool, so the name of the tool and description should be from the model’s perspective.
                 """
 
-                _tool_choice = {"name": RESPONSE_FORMAT_TOOL_NAME, "type": "tool"}
+                if not is_thinking_enabled:
+                    _tool_choice = {"name": RESPONSE_FORMAT_TOOL_NAME, "type": "tool"}
+                    optional_params["tool_choice"] = _tool_choice
+
                 _tool = self._create_json_tool_call_for_response_format(
                     json_schema=json_schema,
                 )
                 optional_params = self._add_tools_to_optional_params(
                     optional_params=optional_params, tools=[_tool]
                 )
-                optional_params["tool_choice"] = _tool_choice
+
                 optional_params["json_mode"] = True
             if param == "user":
                 optional_params["metadata"] = {"user_id": value}
             if param == "thinking":
                 optional_params["thinking"] = value
+
         return optional_params
 
     def _create_json_tool_call_for_response_format(
diff --git a/litellm/llms/base_llm/chat/transformation.py b/litellm/llms/base_llm/chat/transformation.py
index 1b5a6bc58e..45ea06b9e4 100644
--- a/litellm/llms/base_llm/chat/transformation.py
+++ b/litellm/llms/base_llm/chat/transformation.py
@@ -13,12 +13,13 @@ from typing import (
     Optional,
     Type,
     Union,
+    cast,
 )
 
 import httpx
 from pydantic import BaseModel
 
-from litellm.constants import RESPONSE_FORMAT_TOOL_NAME
+from litellm.constants import DEFAULT_MAX_TOKENS, RESPONSE_FORMAT_TOOL_NAME
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.types.llms.openai import (
     AllMessageValues,
@@ -102,6 +103,29 @@ class BaseConfig(ABC):
     ) -> Optional[dict]:
         return type_to_response_format_param(response_format=response_format)
 
+    def is_thinking_enabled(self, non_default_params: dict) -> bool:
+        return non_default_params.get("thinking", {}).get("type", None) == "enabled"
+
+    def update_optional_params_with_thinking_tokens(
+        self, non_default_params: dict, optional_params: dict
+    ):
+        """
+        Handles scenario where max tokens is not specified. For anthropic models (anthropic api/bedrock/vertex ai), this requires having the max tokens being set and being greater than the thinking token budget.
+
+        Checks 'non_default_params' for 'thinking' and 'max_tokens'
+
+        if 'thinking' is enabled and 'max_tokens' is not specified, set 'max_tokens' to the thinking token budget + DEFAULT_MAX_TOKENS
+        """
+        is_thinking_enabled = self.is_thinking_enabled(non_default_params)
+        if is_thinking_enabled and "max_tokens" not in non_default_params:
+            thinking_token_budget = cast(dict, non_default_params["thinking"]).get(
+                "budget_tokens", None
+            )
+            if thinking_token_budget is not None:
+                optional_params["max_tokens"] = (
+                    thinking_token_budget + DEFAULT_MAX_TOKENS
+                )
+
     def should_fake_stream(
         self,
         model: Optional[str],
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index bb874cfe38..b63b76a8ee 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -210,6 +210,10 @@ class AmazonConverseConfig(BaseConfig):
         drop_params: bool,
         messages: Optional[List[AllMessageValues]] = None,
     ) -> dict:
+        is_thinking_enabled = self.is_thinking_enabled(non_default_params)
+        self.update_optional_params_with_thinking_tokens(
+            non_default_params=non_default_params, optional_params=optional_params
+        )
         for param, value in non_default_params.items():
             if param == "response_format" and isinstance(value, dict):
 
@@ -247,8 +251,11 @@ class AmazonConverseConfig(BaseConfig):
                 optional_params = self._add_tools_to_optional_params(
                     optional_params=optional_params, tools=[_tool]
                 )
-                if litellm.utils.supports_tool_choice(
-                    model=model, custom_llm_provider=self.custom_llm_provider
+                if (
+                    litellm.utils.supports_tool_choice(
+                        model=model, custom_llm_provider=self.custom_llm_provider
+                    )
+                    and not is_thinking_enabled
                 ):
                     optional_params["tool_choice"] = ToolChoiceValuesBlock(
                         tool=SpecificToolChoiceBlock(
@@ -284,6 +291,7 @@ class AmazonConverseConfig(BaseConfig):
                     optional_params["tool_choice"] = _tool_choice_value
             if param == "thinking":
                 optional_params["thinking"] = value
+
         return optional_params
 
     @overload
diff --git a/tests/llm_translation/base_llm_unit_tests.py b/tests/llm_translation/base_llm_unit_tests.py
index 82a1ef40fb..eb58512197 100644
--- a/tests/llm_translation/base_llm_unit_tests.py
+++ b/tests/llm_translation/base_llm_unit_tests.py
@@ -1008,6 +1008,11 @@ class BaseAnthropicChatTest(ABC):
         """Must return the base completion call args"""
         pass
 
+    @abstractmethod
+    def get_base_completion_call_args_with_thinking(self) -> dict:
+        """Must return the base completion call args"""
+        pass
+
     @property
     def completion_function(self):
         return litellm.completion
@@ -1066,3 +1071,21 @@ class BaseAnthropicChatTest(ABC):
             json.loads(built_response.choices[0].message.content).keys()
             == json.loads(non_stream_response.choices[0].message.content).keys()
         ), f"Got={json.loads(built_response.choices[0].message.content)}, Expected={json.loads(non_stream_response.choices[0].message.content)}"
+
+    def test_completion_thinking_with_response_format(self):
+        from pydantic import BaseModel
+
+        class RFormat(BaseModel):
+            question: str
+            answer: str
+
+        base_completion_call_args = self.get_base_completion_call_args_with_thinking()
+
+        messages = [{"role": "user", "content": "Generate 5 question + answer pairs"}]
+        response = self.completion_function(
+            **base_completion_call_args,
+            messages=messages,
+            response_format=RFormat,
+        )
+
+        print(response)
diff --git a/tests/llm_translation/test_anthropic_completion.py b/tests/llm_translation/test_anthropic_completion.py
index a83d1d69e9..3f4c0b63f0 100644
--- a/tests/llm_translation/test_anthropic_completion.py
+++ b/tests/llm_translation/test_anthropic_completion.py
@@ -467,6 +467,12 @@ class TestAnthropicCompletion(BaseLLMChatTest, BaseAnthropicChatTest):
     def get_base_completion_call_args(self) -> dict:
         return {"model": "anthropic/claude-3-5-sonnet-20240620"}
 
+    def get_base_completion_call_args_with_thinking(self) -> dict:
+        return {
+            "model": "anthropic/claude-3-7-sonnet-latest",
+            "thinking": {"type": "enabled", "budget_tokens": 16000},
+        }
+
     def test_tool_call_no_arguments(self, tool_call_no_arguments):
         """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
         from litellm.litellm_core_utils.prompt_templates.factory import (
diff --git a/tests/llm_translation/test_bedrock_completion.py b/tests/llm_translation/test_bedrock_completion.py
index 1694033a09..917993a98c 100644
--- a/tests/llm_translation/test_bedrock_completion.py
+++ b/tests/llm_translation/test_bedrock_completion.py
@@ -35,7 +35,7 @@ from litellm import (
 from litellm.llms.bedrock.chat import BedrockLLM
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.litellm_core_utils.prompt_templates.factory import _bedrock_tools_pt
-from base_llm_unit_tests import BaseLLMChatTest
+from base_llm_unit_tests import BaseLLMChatTest, BaseAnthropicChatTest
 from base_rerank_unit_tests import BaseLLMRerankTest
 from base_embedding_unit_tests import BaseLLMEmbeddingTest
 
@@ -2191,6 +2191,19 @@ class TestBedrockConverseChatCrossRegion(BaseLLMChatTest):
         assert cost > 0
 
 
+class TestBedrockConverseAnthropicUnitTests(BaseAnthropicChatTest):
+    def get_base_completion_call_args(self) -> dict:
+        return {
+            "model": "bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0",
+        }
+
+    def get_base_completion_call_args_with_thinking(self) -> dict:
+        return {
+            "model": "bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+            "thinking": {"type": "enabled", "budget_tokens": 16000},
+        }
+
+
 class TestBedrockConverseChatNormal(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
diff --git a/tests/llm_translation/test_cohere.py b/tests/llm_translation/test_cohere.py
index 72df3ad436..124a5c8788 100644
--- a/tests/llm_translation/test_cohere.py
+++ b/tests/llm_translation/test_cohere.py
@@ -56,6 +56,8 @@ async def test_chat_completion_cohere_citations(stream):
             assert citations_chunk
         else:
             assert response.citations is not None
+    except litellm.ServiceUnavailableError:
+        pass
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 

From cec5280e033e6ff57ed1a1da0016622ad34ae1e9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 16:16:44 -0700
Subject: [PATCH 172/244] debugging for Redis TX management

---
 litellm/proxy/db/db_spend_update_writer.py | 27 ++++++++++++++--------
 1 file changed, 17 insertions(+), 10 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 8f175fc905..fea40e58e7 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -496,6 +496,9 @@ class DBSpendUpdateWriter:
 
         ### UPDATE USER TABLE ###
         user_list_transactions = db_spend_update_transactions["user_list_transactions"]
+        verbose_proxy_logger.debug(
+            "User Spend transactions: {}".format(user_list_transactions)
+        )
         if (
             user_list_transactions is not None
             and len(user_list_transactions.keys()) > 0
@@ -536,14 +539,12 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE END-USER TABLE ###
-        verbose_proxy_logger.debug(
-            "End-User Spend transactions: {}".format(
-                len(prisma_client.end_user_list_transactions.keys())
-            )
-        )
         end_user_list_transactions = db_spend_update_transactions[
             "end_user_list_transactions"
         ]
+        verbose_proxy_logger.debug(
+            "End-User Spend transactions: {}".format(end_user_list_transactions)
+        )
         if (
             end_user_list_transactions is not None
             and len(end_user_list_transactions.keys()) > 0
@@ -595,12 +596,10 @@ class DBSpendUpdateWriter:
                     )
 
         ### UPDATE TEAM TABLE ###
-        verbose_proxy_logger.debug(
-            "Team Spend transactions: {}".format(
-                len(prisma_client.team_list_transactions.keys())
-            )
-        )
         team_list_transactions = db_spend_update_transactions["team_list_transactions"]
+        verbose_proxy_logger.debug(
+            "Team Spend transactions: {}".format(team_list_transactions)
+        )
         if (
             team_list_transactions is not None
             and len(team_list_transactions.keys()) > 0
@@ -649,6 +648,11 @@ class DBSpendUpdateWriter:
         team_member_list_transactions = db_spend_update_transactions[
             "team_member_list_transactions"
         ]
+        verbose_proxy_logger.debug(
+            "Team Membership Spend transactions: {}".format(
+                team_member_list_transactions
+            )
+        )
         if (
             team_member_list_transactions is not None
             and len(team_member_list_transactions.keys()) > 0
@@ -694,6 +698,9 @@ class DBSpendUpdateWriter:
 
         ### UPDATE ORG TABLE ###
         org_list_transactions = db_spend_update_transactions["org_list_transactions"]
+        verbose_proxy_logger.debug(
+            "Org Spend transactions: {}".format(org_list_transactions)
+        )
         if org_list_transactions is not None and len(org_list_transactions.keys()) > 0:
             for i in range(n_retry_times + 1):
                 start_time = time.time()

From e5e0ffa28a6b182dec898e986e839029a9cb0f62 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 17:23:47 -0700
Subject: [PATCH 173/244] add async_rpush

---
 litellm/caching/redis_cache.py | 135 +++++++++++++++++++++++++++++++++
 1 file changed, 135 insertions(+)

diff --git a/litellm/caching/redis_cache.py b/litellm/caching/redis_cache.py
index 0571ac9f15..620ba5d73a 100644
--- a/litellm/caching/redis_cache.py
+++ b/litellm/caching/redis_cache.py
@@ -1045,3 +1045,138 @@ class RedisCache(BaseCache):
         except Exception as e:
             verbose_logger.debug(f"Redis TTL Error: {e}")
             return None
+
+    async def _generic_redis_command(
+        self,
+        command: str,
+        key: str,
+        *args,
+        parent_otel_span: Optional[Span] = None,
+        **kwargs,
+    ) -> Any:
+        """
+        Generic method to execute any Redis command
+
+        Args:
+            command: The Redis command to execute (e.g. 'rpush', 'lpop')
+            key: The Redis key to operate on
+            args: Additional arguments to pass to the Redis command
+            parent_otel_span: Optional parent OpenTelemetry span
+            kwargs: Additional keyword arguments
+
+        Returns:
+            Any: The result of the Redis command
+        """
+        _redis_client = self.init_async_client()
+        key = self.check_and_fix_namespace(key=key)
+        start_time = time.time()
+
+        try:
+            # Get the method from the Redis client
+            redis_method = getattr(_redis_client, command)
+            if not redis_method:
+                raise AttributeError(f"Redis client has no method named '{command}'")
+
+            # Execute the command
+            result = await redis_method(key, *args)
+
+            # Log success
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_success_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    call_type=f"async_{command}",
+                    start_time=start_time,
+                    end_time=end_time,
+                    parent_otel_span=parent_otel_span,
+                    event_metadata={"key": key},
+                )
+            )
+            return result
+        except Exception as e:
+            # Log failure
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_failure_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    error=e,
+                    call_type=f"async_{command}",
+                    start_time=start_time,
+                    end_time=end_time,
+                    parent_otel_span=parent_otel_span,
+                    event_metadata={"key": key},
+                )
+            )
+            verbose_logger.error(
+                f"LiteLLM Redis Caching: async {command}() - Got exception from REDIS: {str(e)}"
+            )
+            raise e
+
+    async def async_rpush(
+        self,
+        key: str,
+        values: List[Any],
+        parent_otel_span: Optional[Span] = None,
+        **kwargs,
+    ) -> int:
+        """
+        Append one or multiple values to a list stored at key
+
+        Args:
+            key: The Redis key of the list
+            values: One or more values to append to the list
+            parent_otel_span: Optional parent OpenTelemetry span
+
+        Returns:
+            int: The length of the list after the push operation
+        """
+        print_verbose(f"RPUSH to Redis list: key: {key}, values: {values}")
+        return await self._generic_redis_command(
+            "rpush", key, *values, parent_otel_span=parent_otel_span, **kwargs
+        )
+
+    async def async_lpop(
+        self,
+        key: str,
+        count: Optional[int] = None,
+        parent_otel_span: Optional[Span] = None,
+        **kwargs,
+    ) -> Union[Any, List[Any]]:
+        """
+        Remove and return the first element(s) of a list stored at key
+
+        Args:
+            key: The Redis key of the list
+            count: Number of elements to pop (if None, pops a single element)
+            parent_otel_span: Optional parent OpenTelemetry span
+
+        Returns:
+            Union[Any, List[Any]]: The popped value(s) or None if list is empty
+        """
+        print_verbose(f"LPOP from Redis list: key: {key}, count: {count}")
+        args = [count] if count is not None else []
+
+        # Fix: Pass command as a positional argument, not as a keyword argument
+        result = await self._generic_redis_command(
+            "lpop", key, *args, parent_otel_span=parent_otel_span, **kwargs
+        )
+
+        # Handle result parsing if needed
+        if isinstance(result, bytes):
+            try:
+                return result.decode("utf-8")
+            except Exception:
+                return result
+        elif isinstance(result, list) and all(
+            isinstance(item, bytes) for item in result
+        ):
+            try:
+                return [item.decode("utf-8") for item in result]
+            except Exception:
+                return result
+
+        return result

From 88458a6568f933d00ddefe9d9e57622b19e53964 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 17:24:54 -0700
Subject: [PATCH 174/244] redis update buffer queue

---
 litellm/proxy/db/db_spend_update_writer.py |   2 +-
 litellm/proxy/db/redis_update_buffer.py    | 240 +++++++++++++--------
 2 files changed, 152 insertions(+), 90 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index fea40e58e7..55b95d16bf 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -436,7 +436,7 @@ class DBSpendUpdateWriter:
 
             try:
                 db_spend_update_transactions = (
-                    await self.redis_update_buffer.get_all_update_transactions_from_redis()
+                    await self.redis_update_buffer.get_all_update_transactions_from_redis_buffer()
                 )
                 if db_spend_update_transactions is not None:
                     await DBSpendUpdateWriter._commit_spend_updates_to_db(
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 6f334e90ed..ab43dc575d 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -4,10 +4,12 @@ Handles buffering database `UPDATE` transactions in Redis before committing them
 This is to prevent deadlocks and improve reliability
 """
 
-from typing import TYPE_CHECKING, Any, Dict, Optional, Union, cast
+import json
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import RedisCache
+from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 from litellm.proxy._types import DBSpendUpdateTransactions
 from litellm.secret_managers.main import str_to_bool
 
@@ -16,6 +18,9 @@ if TYPE_CHECKING:
 else:
     PrismaClient = Any
 
+REDIS_UPDATE_BUFFER_KEY = "litellm_spend_update_buffer"
+MAX_REDIS_BUFFER_DEQUEUE_COUNT = 100
+
 
 class RedisUpdateBuffer:
     """
@@ -61,14 +66,21 @@ class RedisUpdateBuffer:
         - value is the spend amount
 
             ```
-            {
-                "0929880201": 10,
-                "0929880202": 20,
-                "0929880203": 30,
-            }
+            Redis List:
+            key_list_transactions:
+            [
+                "0929880201": 1.2,
+                "0929880202": 0.01,
+                "0929880203": 0.001,
+            ]
             ```
         """
-        IN_MEMORY_UPDATE_TRANSACTIONS: DBSpendUpdateTransactions = (
+        if self.redis_cache is None:
+            verbose_proxy_logger.debug(
+                "redis_cache is None, skipping store_in_memory_spend_updates_in_redis"
+            )
+            return
+        db_spend_update_transactions: DBSpendUpdateTransactions = (
             DBSpendUpdateTransactions(
                 user_list_transactions=prisma_client.user_list_transactions,
                 end_user_list_transactions=prisma_client.end_user_list_transactions,
@@ -78,30 +90,47 @@ class RedisUpdateBuffer:
                 org_list_transactions=prisma_client.org_list_transactions,
             )
         )
-        for key, _transactions in IN_MEMORY_UPDATE_TRANSACTIONS.items():
-            await self.increment_all_transaction_objects_in_redis(
-                key=key,
-                transactions=cast(Dict, _transactions),
-            )
 
-    async def increment_all_transaction_objects_in_redis(
-        self,
-        key: str,
-        transactions: Dict,
+        # only store in redis if there are any updates to commit
+        if (
+            self._number_of_transactions_to_store_in_redis(db_spend_update_transactions)
+            == 0
+        ):
+            return
+
+        list_of_transactions = [safe_dumps(db_spend_update_transactions)]
+        await self.redis_cache.async_rpush(
+            key=REDIS_UPDATE_BUFFER_KEY,
+            values=list_of_transactions,
+        )
+        self._clear_all_in_memory_spend_updates(prisma_client)
+
+    @staticmethod
+    def _number_of_transactions_to_store_in_redis(
+        db_spend_update_transactions: DBSpendUpdateTransactions,
+    ) -> int:
+        """
+        Gets the number of transactions to store in Redis
+        """
+        num_transactions = 0
+        for v in db_spend_update_transactions.values():
+            if isinstance(v, dict):
+                num_transactions += len(v)
+        return num_transactions
+
+    @staticmethod
+    def _clear_all_in_memory_spend_updates(
+        prisma_client: PrismaClient,
     ):
         """
-        Increments all transaction objects in Redis
+        Clears all in-memory spend updates
         """
-        if self.redis_cache is None:
-            verbose_proxy_logger.debug(
-                "redis_cache is None, skipping increment_all_transaction_objects_in_redis"
-            )
-            return
-        for transaction_id, transaction_amount in transactions.items():
-            await self.redis_cache.async_increment(
-                key=f"{key}:{transaction_id}",
-                value=transaction_amount,
-            )
+        prisma_client.user_list_transactions = {}
+        prisma_client.end_user_list_transactions = {}
+        prisma_client.key_list_transactions = {}
+        prisma_client.team_list_transactions = {}
+        prisma_client.team_member_list_transactions = {}
+        prisma_client.org_list_transactions = {}
 
     @staticmethod
     def _remove_prefix_from_keys(data: Dict[str, Any], prefix: str) -> Dict[str, Any]:
@@ -110,77 +139,110 @@ class RedisUpdateBuffer:
         """
         return {key.replace(prefix, "", 1): value for key, value in data.items()}
 
-    async def get_all_update_transactions_from_redis(
+    async def get_all_update_transactions_from_redis_buffer(
         self,
     ) -> Optional[DBSpendUpdateTransactions]:
         """
         Gets all the update transactions from Redis
+
+        On Redis we store a list of transactions as a JSON string
+
+        eg.
+            [
+                DBSpendUpdateTransactions(
+                    user_list_transactions={
+                        "user_id_1": 1.2,
+                        "user_id_2": 0.01,
+                    },
+                    end_user_list_transactions={},
+                    key_list_transactions={
+                        "0929880201": 1.2,
+                        "0929880202": 0.01,
+                    },
+                    team_list_transactions={},
+                    team_member_list_transactions={},
+                    org_list_transactions={},
+                ),
+                DBSpendUpdateTransactions(
+                    user_list_transactions={
+                        "user_id_3": 1.2,
+                        "user_id_4": 0.01,
+                    },
+                    end_user_list_transactions={},
+                    key_list_transactions={
+                        "key_id_1": 1.2,
+                        "key_id_2": 0.01,
+                    },
+                    team_list_transactions={},
+                    team_member_list_transactions={},
+                    org_list_transactions={},
+            ]
         """
         if self.redis_cache is None:
             return None
-        user_transaction_keys = await self.redis_cache.async_scan_iter(
-            "user_list_transactions:*"
+        list_of_transactions = await self.redis_cache.async_lpop(
+            key=REDIS_UPDATE_BUFFER_KEY,
+            count=MAX_REDIS_BUFFER_DEQUEUE_COUNT,
         )
-        end_user_transaction_keys = await self.redis_cache.async_scan_iter(
-            "end_user_list_transactions:*"
-        )
-        key_transaction_keys = await self.redis_cache.async_scan_iter(
-            "key_list_transactions:*"
-        )
-        team_transaction_keys = await self.redis_cache.async_scan_iter(
-            "team_list_transactions:*"
-        )
-        team_member_transaction_keys = await self.redis_cache.async_scan_iter(
-            "team_member_list_transactions:*"
-        )
-        org_transaction_keys = await self.redis_cache.async_scan_iter(
-            "org_list_transactions:*"
+        if list_of_transactions is None:
+            return None
+
+        # Parse the list of transactions from JSON strings
+        parsed_transactions = self._parse_list_of_transactions(list_of_transactions)
+
+        # If there are no transactions, return None
+        if len(parsed_transactions) == 0:
+            return None
+
+        # Combine all transactions into a single transaction
+        combined_transaction = self._combine_list_of_transactions(parsed_transactions)
+
+        return combined_transaction
+
+    @staticmethod
+    def _parse_list_of_transactions(
+        list_of_transactions: List[str],
+    ) -> List[DBSpendUpdateTransactions]:
+        """
+        Parses the list of transactions from Redis
+        """
+        return [json.loads(transaction) for transaction in list_of_transactions]
+
+    @staticmethod
+    def _combine_list_of_transactions(
+        list_of_transactions: List[DBSpendUpdateTransactions],
+    ) -> DBSpendUpdateTransactions:
+        """
+        Combines the list of transactions into a single DBSpendUpdateTransactions object
+        """
+        # Initialize a new combined transaction object with empty dictionaries
+        combined_transaction = DBSpendUpdateTransactions(
+            user_list_transactions={},
+            end_user_list_transactions={},
+            key_list_transactions={},
+            team_list_transactions={},
+            team_member_list_transactions={},
+            org_list_transactions={},
         )
 
-        user_list_transactions = await self.redis_cache.async_batch_get_cache(
-            user_transaction_keys
-        )
-        end_user_list_transactions = await self.redis_cache.async_batch_get_cache(
-            end_user_transaction_keys
-        )
-        key_list_transactions = await self.redis_cache.async_batch_get_cache(
-            key_transaction_keys
-        )
-        team_list_transactions = await self.redis_cache.async_batch_get_cache(
-            team_transaction_keys
-        )
-        team_member_list_transactions = await self.redis_cache.async_batch_get_cache(
-            team_member_transaction_keys
-        )
-        org_list_transactions = await self.redis_cache.async_batch_get_cache(
-            org_transaction_keys
-        )
+        # Define the transaction fields to process
+        transaction_fields = [
+            "user_list_transactions",
+            "end_user_list_transactions",
+            "key_list_transactions",
+            "team_list_transactions",
+            "team_member_list_transactions",
+            "org_list_transactions",
+        ]
 
-        # filter out the "prefix" from the keys using the helper method
-        user_list_transactions = self._remove_prefix_from_keys(
-            user_list_transactions, "user_list_transactions:"
-        )
-        end_user_list_transactions = self._remove_prefix_from_keys(
-            end_user_list_transactions, "end_user_list_transactions:"
-        )
-        key_list_transactions = self._remove_prefix_from_keys(
-            key_list_transactions, "key_list_transactions:"
-        )
-        team_list_transactions = self._remove_prefix_from_keys(
-            team_list_transactions, "team_list_transactions:"
-        )
-        team_member_list_transactions = self._remove_prefix_from_keys(
-            team_member_list_transactions, "team_member_list_transactions:"
-        )
-        org_list_transactions = self._remove_prefix_from_keys(
-            org_list_transactions, "org_list_transactions:"
-        )
+        # Loop through each transaction and combine the values
+        for transaction in list_of_transactions:
+            # Process each field type
+            for field in transaction_fields:
+                if transaction.get(field):
+                    for entity_id, amount in transaction[field].items():
+                        combined_transaction[field][entity_id] = (
+                            combined_transaction[field].get(entity_id, 0) + amount
+                        )
 
-        return DBSpendUpdateTransactions(
-            user_list_transactions=user_list_transactions,
-            end_user_list_transactions=end_user_list_transactions,
-            key_list_transactions=key_list_transactions,
-            team_list_transactions=team_list_transactions,
-            team_member_list_transactions=team_member_list_transactions,
-            org_list_transactions=org_list_transactions,
-        )
+        return combined_transaction

From eae2adcee0a4ff98544eeabd4b4850f0794ecdc3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 19:49:38 -0700
Subject: [PATCH 175/244] redis cache add async push and pop methods

---
 litellm/caching/redis_cache.py | 183 ++++++++++++++-------------------
 1 file changed, 77 insertions(+), 106 deletions(-)

diff --git a/litellm/caching/redis_cache.py b/litellm/caching/redis_cache.py
index 620ba5d73a..7378ed878a 100644
--- a/litellm/caching/redis_cache.py
+++ b/litellm/caching/redis_cache.py
@@ -1046,76 +1046,6 @@ class RedisCache(BaseCache):
             verbose_logger.debug(f"Redis TTL Error: {e}")
             return None
 
-    async def _generic_redis_command(
-        self,
-        command: str,
-        key: str,
-        *args,
-        parent_otel_span: Optional[Span] = None,
-        **kwargs,
-    ) -> Any:
-        """
-        Generic method to execute any Redis command
-
-        Args:
-            command: The Redis command to execute (e.g. 'rpush', 'lpop')
-            key: The Redis key to operate on
-            args: Additional arguments to pass to the Redis command
-            parent_otel_span: Optional parent OpenTelemetry span
-            kwargs: Additional keyword arguments
-
-        Returns:
-            Any: The result of the Redis command
-        """
-        _redis_client = self.init_async_client()
-        key = self.check_and_fix_namespace(key=key)
-        start_time = time.time()
-
-        try:
-            # Get the method from the Redis client
-            redis_method = getattr(_redis_client, command)
-            if not redis_method:
-                raise AttributeError(f"Redis client has no method named '{command}'")
-
-            # Execute the command
-            result = await redis_method(key, *args)
-
-            # Log success
-            end_time = time.time()
-            _duration = end_time - start_time
-            asyncio.create_task(
-                self.service_logger_obj.async_service_success_hook(
-                    service=ServiceTypes.REDIS,
-                    duration=_duration,
-                    call_type=f"async_{command}",
-                    start_time=start_time,
-                    end_time=end_time,
-                    parent_otel_span=parent_otel_span,
-                    event_metadata={"key": key},
-                )
-            )
-            return result
-        except Exception as e:
-            # Log failure
-            end_time = time.time()
-            _duration = end_time - start_time
-            asyncio.create_task(
-                self.service_logger_obj.async_service_failure_hook(
-                    service=ServiceTypes.REDIS,
-                    duration=_duration,
-                    error=e,
-                    call_type=f"async_{command}",
-                    start_time=start_time,
-                    end_time=end_time,
-                    parent_otel_span=parent_otel_span,
-                    event_metadata={"key": key},
-                )
-            )
-            verbose_logger.error(
-                f"LiteLLM Redis Caching: async {command}() - Got exception from REDIS: {str(e)}"
-            )
-            raise e
-
     async def async_rpush(
         self,
         key: str,
@@ -1134,10 +1064,38 @@ class RedisCache(BaseCache):
         Returns:
             int: The length of the list after the push operation
         """
-        print_verbose(f"RPUSH to Redis list: key: {key}, values: {values}")
-        return await self._generic_redis_command(
-            "rpush", key, *values, parent_otel_span=parent_otel_span, **kwargs
-        )
+        _redis_client: Any = self.init_async_client()
+        start_time = time.time()
+        try:
+            response = await _redis_client.rpush(key, *values)
+            ## LOGGING ##
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_success_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    call_type="async_rpush",
+                )
+            )
+            return response
+        except Exception as e:
+            # NON blocking - notify users Redis is throwing an exception
+            ## LOGGING ##
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_failure_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    error=e,
+                    call_type="async_rpush",
+                )
+            )
+            verbose_logger.error(
+                f"LiteLLM Redis Cache RPUSH: - Got exception from REDIS : {str(e)}"
+            )
+            raise e
 
     async def async_lpop(
         self,
@@ -1146,37 +1104,50 @@ class RedisCache(BaseCache):
         parent_otel_span: Optional[Span] = None,
         **kwargs,
     ) -> Union[Any, List[Any]]:
-        """
-        Remove and return the first element(s) of a list stored at key
-
-        Args:
-            key: The Redis key of the list
-            count: Number of elements to pop (if None, pops a single element)
-            parent_otel_span: Optional parent OpenTelemetry span
-
-        Returns:
-            Union[Any, List[Any]]: The popped value(s) or None if list is empty
-        """
+        _redis_client: Any = self.init_async_client()
+        start_time = time.time()
         print_verbose(f"LPOP from Redis list: key: {key}, count: {count}")
-        args = [count] if count is not None else []
+        try:
+            result = await _redis_client.lpop(key, count)
+            ## LOGGING ##
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_success_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    call_type="async_lpop",
+                )
+            )
 
-        # Fix: Pass command as a positional argument, not as a keyword argument
-        result = await self._generic_redis_command(
-            "lpop", key, *args, parent_otel_span=parent_otel_span, **kwargs
-        )
-
-        # Handle result parsing if needed
-        if isinstance(result, bytes):
-            try:
-                return result.decode("utf-8")
-            except Exception:
-                return result
-        elif isinstance(result, list) and all(
-            isinstance(item, bytes) for item in result
-        ):
-            try:
-                return [item.decode("utf-8") for item in result]
-            except Exception:
-                return result
-
-        return result
+            # Handle result parsing if needed
+            if isinstance(result, bytes):
+                try:
+                    return result.decode("utf-8")
+                except Exception:
+                    return result
+            elif isinstance(result, list) and all(
+                isinstance(item, bytes) for item in result
+            ):
+                try:
+                    return [item.decode("utf-8") for item in result]
+                except Exception:
+                    return result
+            return result
+        except Exception as e:
+            # NON blocking - notify users Redis is throwing an exception
+            ## LOGGING ##
+            end_time = time.time()
+            _duration = end_time - start_time
+            asyncio.create_task(
+                self.service_logger_obj.async_service_failure_hook(
+                    service=ServiceTypes.REDIS,
+                    duration=_duration,
+                    error=e,
+                    call_type="async_lpop",
+                )
+            )
+            verbose_logger.error(
+                f"LiteLLM Redis Cache LPOP: - Got exception from REDIS : {str(e)}"
+            )
+            raise e

From 21bf15263cf23d2e2a5031c3ce4985c83fe468f9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 19:51:15 -0700
Subject: [PATCH 176/244] use asyncio lock for updating PrismaClient txs

---
 litellm/proxy/db/redis_update_buffer.py | 54 ++++++++++++++-----------
 litellm/proxy/utils.py                  |  1 +
 2 files changed, 32 insertions(+), 23 deletions(-)

diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index ab43dc575d..3d27e41d15 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -80,30 +80,35 @@ class RedisUpdateBuffer:
                 "redis_cache is None, skipping store_in_memory_spend_updates_in_redis"
             )
             return
-        db_spend_update_transactions: DBSpendUpdateTransactions = (
-            DBSpendUpdateTransactions(
-                user_list_transactions=prisma_client.user_list_transactions,
-                end_user_list_transactions=prisma_client.end_user_list_transactions,
-                key_list_transactions=prisma_client.key_list_transactions,
-                team_list_transactions=prisma_client.team_list_transactions,
-                team_member_list_transactions=prisma_client.team_member_list_transactions,
-                org_list_transactions=prisma_client.org_list_transactions,
+        async with prisma_client.in_memory_transaction_lock:
+            db_spend_update_transactions: DBSpendUpdateTransactions = (
+                DBSpendUpdateTransactions(
+                    user_list_transactions=prisma_client.user_list_transactions,
+                    end_user_list_transactions=prisma_client.end_user_list_transactions,
+                    key_list_transactions=prisma_client.key_list_transactions,
+                    team_list_transactions=prisma_client.team_list_transactions,
+                    team_member_list_transactions=prisma_client.team_member_list_transactions,
+                    org_list_transactions=prisma_client.org_list_transactions,
+                )
             )
-        )
 
-        # only store in redis if there are any updates to commit
-        if (
-            self._number_of_transactions_to_store_in_redis(db_spend_update_transactions)
-            == 0
-        ):
-            return
+            # only store in redis if there are any updates to commit
+            if (
+                self._number_of_transactions_to_store_in_redis(
+                    db_spend_update_transactions
+                )
+                == 0
+            ):
+                return
 
-        list_of_transactions = [safe_dumps(db_spend_update_transactions)]
-        await self.redis_cache.async_rpush(
-            key=REDIS_UPDATE_BUFFER_KEY,
-            values=list_of_transactions,
-        )
-        self._clear_all_in_memory_spend_updates(prisma_client)
+            list_of_transactions = [safe_dumps(db_spend_update_transactions)]
+            await self.redis_cache.async_rpush(
+                key=REDIS_UPDATE_BUFFER_KEY,
+                values=list_of_transactions,
+            )
+
+            # clear the in-memory spend updates
+            RedisUpdateBuffer._clear_all_in_memory_spend_updates(prisma_client)
 
     @staticmethod
     def _number_of_transactions_to_store_in_redis(
@@ -201,12 +206,15 @@ class RedisUpdateBuffer:
 
     @staticmethod
     def _parse_list_of_transactions(
-        list_of_transactions: List[str],
+        list_of_transactions: Union[Any, List[Any]],
     ) -> List[DBSpendUpdateTransactions]:
         """
         Parses the list of transactions from Redis
         """
-        return [json.loads(transaction) for transaction in list_of_transactions]
+        if isinstance(list_of_transactions, list):
+            return [json.loads(transaction) for transaction in list_of_transactions]
+        else:
+            return [json.loads(list_of_transactions)]
 
     @staticmethod
     def _combine_list_of_transactions(
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index d0d4ea9b4e..66dd224dff 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1121,6 +1121,7 @@ class PrismaClient:
         self.iam_token_db_auth: Optional[bool] = str_to_bool(
             os.getenv("IAM_TOKEN_DB_AUTH")
         )
+        self.in_memory_transaction_lock = asyncio.Lock()
         verbose_proxy_logger.debug("Creating Prisma Client..")
         try:
             from prisma import Prisma  # type: ignore

From 183c33bb026ba17ec91122611e8baedd2a937fe7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 19:52:07 -0700
Subject: [PATCH 177/244] prisma client in_memory_transaction_lock

---
 litellm/proxy/db/db_spend_update_writer.py | 17 +++++++++++++----
 1 file changed, 13 insertions(+), 4 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 55b95d16bf..72692339c8 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -142,6 +142,7 @@ class DBSpendUpdateWriter:
         transaction_list: dict,
         entity_type: Litellm_EntityType,
         debug_msg: Optional[str] = None,
+        prisma_client: Optional[PrismaClient] = None,
     ) -> bool:
         """
         Common helper method to update a transaction list for an entity
@@ -163,16 +164,18 @@ class DBSpendUpdateWriter:
                 verbose_proxy_logger.debug(
                     f"adding spend to {entity_type.value} db. Response cost: {response_cost}. {entity_type.value}_id: {entity_id}."
                 )
+            if prisma_client is None:
+                return False
 
             if entity_id is None:
                 verbose_proxy_logger.debug(
                     f"track_cost_callback: {entity_type.value}_id is None. Not tracking spend for {entity_type.value}"
                 )
                 return False
-
-            transaction_list[entity_id] = response_cost + transaction_list.get(
-                entity_id, 0
-            )
+            async with prisma_client.in_memory_transaction_lock:
+                transaction_list[entity_id] = response_cost + transaction_list.get(
+                    entity_id, 0
+                )
             return True
 
         except Exception as e:
@@ -197,6 +200,7 @@ class DBSpendUpdateWriter:
                 transaction_list=prisma_client.key_list_transactions,
                 entity_type=Litellm_EntityType.KEY,
                 debug_msg=f"adding spend to key db. Response cost: {response_cost}. Token: {hashed_token}.",
+                prisma_client=prisma_client,
             )
         except Exception as e:
             verbose_proxy_logger.exception(
@@ -236,6 +240,7 @@ class DBSpendUpdateWriter:
                             entity_id=_id,
                             transaction_list=prisma_client.user_list_transactions,
                             entity_type=Litellm_EntityType.USER,
+                            prisma_client=prisma_client,
                         )
 
                 if end_user_id is not None:
@@ -244,6 +249,7 @@ class DBSpendUpdateWriter:
                         entity_id=end_user_id,
                         transaction_list=prisma_client.end_user_list_transactions,
                         entity_type=Litellm_EntityType.END_USER,
+                        prisma_client=prisma_client,
                     )
         except Exception as e:
             verbose_proxy_logger.info(
@@ -270,6 +276,7 @@ class DBSpendUpdateWriter:
                 entity_id=team_id,
                 transaction_list=prisma_client.team_list_transactions,
                 entity_type=Litellm_EntityType.TEAM,
+                prisma_client=prisma_client,
             )
 
             try:
@@ -282,6 +289,7 @@ class DBSpendUpdateWriter:
                         entity_id=team_member_key,
                         transaction_list=prisma_client.team_member_list_transactions,
                         entity_type=Litellm_EntityType.TEAM_MEMBER,
+                        prisma_client=prisma_client,
                     )
             except Exception:
                 pass
@@ -309,6 +317,7 @@ class DBSpendUpdateWriter:
                 entity_id=org_id,
                 transaction_list=prisma_client.org_list_transactions,
                 entity_type=Litellm_EntityType.ORGANIZATION,
+                prisma_client=prisma_client,
             )
         except Exception as e:
             verbose_proxy_logger.info(

From ba550e214705abd20411e4b2446a27a25c567be2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 19:52:39 -0700
Subject: [PATCH 178/244] test local spend accuracy

---
 litellm/proxy/proxy_config.yaml               |   1 +
 .../local_test_spend_accuracy_tests.py        | 279 ++++++++++++++++++
 2 files changed, 280 insertions(+)
 create mode 100644 tests/otel_tests/local_test_spend_accuracy_tests.py

diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index a1be54421b..9ca63f18ea 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -12,3 +12,4 @@ litellm_settings:
   cache: true
   cache_params:
     type: redis
+    supported_call_types: []
diff --git a/tests/otel_tests/local_test_spend_accuracy_tests.py b/tests/otel_tests/local_test_spend_accuracy_tests.py
new file mode 100644
index 0000000000..6d756219c7
--- /dev/null
+++ b/tests/otel_tests/local_test_spend_accuracy_tests.py
@@ -0,0 +1,279 @@
+import pytest
+import asyncio
+import aiohttp
+import json
+from httpx import AsyncClient
+from typing import Any, Optional
+import uuid
+
+"""
+Tests to run
+
+Basic Tests:
+1. Basic Spend Accuracy Test:
+    - 1 Request costs $0.037
+    - Make 12 requests 
+    - Expect the spend for each of the following to be 12 * $0.037
+        Key: $0.444 (call /info endpoint for each object to validate)
+        Team: $0.444
+        User: $0.444
+        Org: $0.444
+        End User: $0.444
+
+2. Long term spend accuracy test (with 2 bursts of requests)
+    - 1 Request costs $0.037
+    - Burst 1: 12 requests
+    - Burst 2: 22 requests
+    
+    - Expect the spend for each of the following to be (12 + 22) * $0.037
+        Key: $1.296
+        Team: $1.296
+        User: $1.296
+        Org: $1.296
+        End User: $1.296
+
+Additional Test Scenarios:
+
+3. Concurrent Request Accuracy Test:
+    - Make 20 concurrent requests
+    - Verify total spend is 20 * $0.037
+    - Check for race conditions in spend tracking
+
+4. Error Case Test:
+    - Make 10 successful requests ($0.037 each)
+    - Make 5 failed requests
+    - Verify spend is only counted for successful requests (10 * $0.037)
+
+5. Mixed Request Type Test:
+    - Make different types of requests with varying costs
+    - Verify accurate total spend calculation
+"""
+
+
+async def create_organization(session, organization_alias: str):
+    """Helper function to create a new organization"""
+    url = "http://0.0.0.0:4002/organization/new"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {"organization_alias": organization_alias}
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def create_team(session, org_id: str):
+    """Helper function to create a new team under an organization"""
+    url = "http://0.0.0.0:4002/team/new"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {"organization_id": org_id, "team_alias": f"test-team-{uuid.uuid4()}"}
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def create_user(session, org_id: str):
+    """Helper function to create a new user"""
+    url = "http://0.0.0.0:4002/user/new"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {"user_name": f"test-user-{uuid.uuid4()}"}
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def generate_key(session, user_id: str, team_id: str):
+    """Helper function to generate a key for a specific user and team"""
+    url = "http://0.0.0.0:4002/key/generate"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {"user_id": user_id, "team_id": team_id}
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def chat_completion(session, key: str):
+    """Make a chat completion request"""
+    from openai import AsyncOpenAI
+    import uuid
+
+    client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4002/v1")
+
+    response = await client.chat.completions.create(
+        model="fake-openai-endpoint",
+        messages=[{"role": "user", "content": f"Test message {uuid.uuid4()}"}],
+    )
+    return response
+
+
+async def get_spend_info(session, entity_type: str, entity_id: str):
+    """Helper function to get spend information for an entity"""
+    url = f"http://0.0.0.0:4002/{entity_type}/info"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    if entity_type == "key":
+        data = {"key": entity_id}
+    else:
+        data = {f"{entity_type}_id": entity_id}
+
+    async with session.get(url, headers=headers, params=data) as response:
+        return await response.json()
+
+
+@pytest.mark.asyncio
+async def test_basic_spend_accuracy():
+    """
+    Test basic spend accuracy across different entities:
+    1. Create org, team, user, and key
+    2. Make 12 requests at $0.037 each
+    3. Verify spend accuracy for key, team, user, org, and end user
+    """
+    SPEND_PER_REQUEST = 3.75 * 10**-5
+    NUM_LLM_REQUESTS = 20
+    expected_spend = NUM_LLM_REQUESTS * SPEND_PER_REQUEST  # 12 requests at $0.037 each
+
+    # Add tolerance constant at the top of the test
+    TOLERANCE = 1e-10  # Small number to account for floating-point precision
+
+    async with aiohttp.ClientSession() as session:
+        # Create organization
+        org_response = await create_organization(
+            session=session, organization_alias=f"test-org-{uuid.uuid4()}"
+        )
+        print("org_response: ", org_response)
+        org_id = org_response["organization_id"]
+
+        # Create team under organization
+        team_response = await create_team(session, org_id)
+        print("team_response: ", team_response)
+        team_id = team_response["team_id"]
+
+        # Create user
+        user_response = await create_user(session, org_id)
+        print("user_response: ", user_response)
+        user_id = user_response["user_id"]
+
+        # Generate key
+        key_response = await generate_key(session, user_id, team_id)
+        print("key_response: ", key_response)
+        key = key_response["key"]
+
+        # Make 12 requests
+        for _ in range(NUM_LLM_REQUESTS):
+            response = await chat_completion(session, key)
+            print("response: ", response)
+
+        # wait 10 seconds for spend to be updated
+        await asyncio.sleep(15)
+
+        # Get spend information for each entity
+        key_info = await get_spend_info(session, "key", key)
+        print("key_info: ", key_info)
+        team_info = await get_spend_info(session, "team", team_id)
+        print("team_info: ", team_info)
+        user_info = await get_spend_info(session, "user", user_id)
+        print("user_info: ", user_info)
+        org_info = await get_spend_info(session, "organization", org_id)
+        print("org_info: ", org_info)
+
+        # Verify spend for each entity
+        assert (
+            abs(key_info["info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"Key spend {key_info['info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(user_info["user_info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"User spend {user_info['info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(team_info["team_info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"Team spend {team_info['team_info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(org_info["spend"] - expected_spend) < TOLERANCE
+        ), f"Organization spend {org_info['spend']} does not match expected {expected_spend}"
+
+
+@pytest.mark.asyncio
+async def test_long_term_spend_accuracy_with_bursts():
+    """
+    Test long-term spend accuracy with multiple bursts of requests:
+    1. Create org, team, user, and key
+    2. Burst 1: Make 12 requests
+    3. Burst 2: Make 22 more requests
+    4. Verify the total spend (34 requests) is tracked accurately across all entities
+    """
+    SPEND_PER_REQUEST = 3.75 * 10**-5  # Cost per request
+    BURST_1_REQUESTS = 22  # Number of requests in first burst
+    BURST_2_REQUESTS = 12  # Number of requests in second burst
+    TOTAL_REQUESTS = BURST_1_REQUESTS + BURST_2_REQUESTS
+    expected_spend = TOTAL_REQUESTS * SPEND_PER_REQUEST
+
+    # Tolerance for floating-point comparison
+    TOLERANCE = 1e-10
+
+    async with aiohttp.ClientSession() as session:
+        # Create organization
+        org_response = await create_organization(
+            session=session, organization_alias=f"test-org-{uuid.uuid4()}"
+        )
+        print("org_response: ", org_response)
+        org_id = org_response["organization_id"]
+
+        # Create team under organization
+        team_response = await create_team(session, org_id)
+        print("team_response: ", team_response)
+        team_id = team_response["team_id"]
+
+        # Create user
+        user_response = await create_user(session, org_id)
+        print("user_response: ", user_response)
+        user_id = user_response["user_id"]
+
+        # Generate key
+        key_response = await generate_key(session, user_id, team_id)
+        print("key_response: ", key_response)
+        key = key_response["key"]
+
+        # First burst: 12 requests
+        print(f"Starting first burst of {BURST_1_REQUESTS} requests...")
+        for i in range(BURST_1_REQUESTS):
+            response = await chat_completion(session, key)
+            print(f"Burst 1 - Request {i+1}/{BURST_1_REQUESTS} completed")
+
+        # Wait for spend to be updated
+        await asyncio.sleep(8)
+
+        # Check intermediate spend
+        intermediate_key_info = await get_spend_info(session, "key", key)
+        print(f"After Burst 1 - Key spend: {intermediate_key_info['info']['spend']}")
+
+        # Second burst: 22 requests
+        print(f"Starting second burst of {BURST_2_REQUESTS} requests...")
+        for i in range(BURST_2_REQUESTS):
+            response = await chat_completion(session, key)
+            print(f"Burst 2 - Request {i+1}/{BURST_2_REQUESTS} completed")
+
+        # Wait for spend to be updated
+        await asyncio.sleep(8)
+
+        # Get final spend information for each entity
+        key_info = await get_spend_info(session, "key", key)
+        team_info = await get_spend_info(session, "team", team_id)
+        user_info = await get_spend_info(session, "user", user_id)
+        org_info = await get_spend_info(session, "organization", org_id)
+
+        print(f"Final key spend: {key_info['info']['spend']}")
+        print(f"Final team spend: {team_info['team_info']['spend']}")
+        print(f"Final user spend: {user_info['user_info']['spend']}")
+        print(f"Final org spend: {org_info['spend']}")
+
+        # Verify total spend for each entity
+        assert (
+            abs(key_info["info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"Key spend {key_info['info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(user_info["user_info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"User spend {user_info['user_info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(team_info["team_info"]["spend"] - expected_spend) < TOLERANCE
+        ), f"Team spend {team_info['team_info']['spend']} does not match expected {expected_spend}"
+
+        assert (
+            abs(org_info["spend"] - expected_spend) < TOLERANCE
+        ), f"Organization spend {org_info['spend']} does not match expected {expected_spend}"

From 69d573468575478811cfe3680782141753dab189 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 20:10:58 -0700
Subject: [PATCH 179/244] fix - locking in memory leads to failing tests

---
 litellm/proxy/db/db_spend_update_writer.py |  7 ++--
 litellm/proxy/db/redis_update_buffer.py    | 47 ++++++++++------------
 litellm/proxy/proxy_config.yaml            |  8 ----
 litellm/proxy/utils.py                     |  1 -
 4 files changed, 25 insertions(+), 38 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 72692339c8..f46b03b57a 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -172,10 +172,9 @@ class DBSpendUpdateWriter:
                     f"track_cost_callback: {entity_type.value}_id is None. Not tracking spend for {entity_type.value}"
                 )
                 return False
-            async with prisma_client.in_memory_transaction_lock:
-                transaction_list[entity_id] = response_cost + transaction_list.get(
-                    entity_id, 0
-                )
+            transaction_list[entity_id] = response_cost + transaction_list.get(
+                entity_id, 0
+            )
             return True
 
         except Exception as e:
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 3d27e41d15..f842fc85d2 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -80,35 +80,32 @@ class RedisUpdateBuffer:
                 "redis_cache is None, skipping store_in_memory_spend_updates_in_redis"
             )
             return
-        async with prisma_client.in_memory_transaction_lock:
-            db_spend_update_transactions: DBSpendUpdateTransactions = (
-                DBSpendUpdateTransactions(
-                    user_list_transactions=prisma_client.user_list_transactions,
-                    end_user_list_transactions=prisma_client.end_user_list_transactions,
-                    key_list_transactions=prisma_client.key_list_transactions,
-                    team_list_transactions=prisma_client.team_list_transactions,
-                    team_member_list_transactions=prisma_client.team_member_list_transactions,
-                    org_list_transactions=prisma_client.org_list_transactions,
-                )
+        db_spend_update_transactions: DBSpendUpdateTransactions = (
+            DBSpendUpdateTransactions(
+                user_list_transactions=prisma_client.user_list_transactions,
+                end_user_list_transactions=prisma_client.end_user_list_transactions,
+                key_list_transactions=prisma_client.key_list_transactions,
+                team_list_transactions=prisma_client.team_list_transactions,
+                team_member_list_transactions=prisma_client.team_member_list_transactions,
+                org_list_transactions=prisma_client.org_list_transactions,
             )
+        )
 
-            # only store in redis if there are any updates to commit
-            if (
-                self._number_of_transactions_to_store_in_redis(
-                    db_spend_update_transactions
-                )
-                == 0
-            ):
-                return
+        # only store in redis if there are any updates to commit
+        if (
+            self._number_of_transactions_to_store_in_redis(db_spend_update_transactions)
+            == 0
+        ):
+            return
 
-            list_of_transactions = [safe_dumps(db_spend_update_transactions)]
-            await self.redis_cache.async_rpush(
-                key=REDIS_UPDATE_BUFFER_KEY,
-                values=list_of_transactions,
-            )
+        list_of_transactions = [safe_dumps(db_spend_update_transactions)]
+        await self.redis_cache.async_rpush(
+            key=REDIS_UPDATE_BUFFER_KEY,
+            values=list_of_transactions,
+        )
 
-            # clear the in-memory spend updates
-            RedisUpdateBuffer._clear_all_in_memory_spend_updates(prisma_client)
+        # clear the in-memory spend updates
+        RedisUpdateBuffer._clear_all_in_memory_spend_updates(prisma_client)
 
     @staticmethod
     def _number_of_transactions_to_store_in_redis(
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 9ca63f18ea..106003f996 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -5,11 +5,3 @@ model_list:
       api_key: fake-key
       api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
-general_settings:
-  use_redis_transaction_buffer: True
-
-litellm_settings:
-  cache: true
-  cache_params:
-    type: redis
-    supported_call_types: []
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 66dd224dff..d0d4ea9b4e 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1121,7 +1121,6 @@ class PrismaClient:
         self.iam_token_db_auth: Optional[bool] = str_to_bool(
             os.getenv("IAM_TOKEN_DB_AUTH")
         )
-        self.in_memory_transaction_lock = asyncio.Lock()
         verbose_proxy_logger.debug("Creating Prisma Client..")
         try:
             from prisma import Prisma  # type: ignore

From 4879e1ecf0eee6fad97d9ac1fe2870e923b3733e Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Fri, 28 Mar 2025 20:24:28 -0700
Subject: [PATCH 180/244] fix(openrouter/chat/transformation.py): raise
 informative message for openrouter key error (#9626)

Related Issue: https://github.com/Aider-AI/aider/issues/3550#issuecomment-2763052355
---
 litellm/llms/openrouter/chat/transformation.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/litellm/llms/openrouter/chat/transformation.py b/litellm/llms/openrouter/chat/transformation.py
index 4b95ec87cf..ab4d3c52b9 100644
--- a/litellm/llms/openrouter/chat/transformation.py
+++ b/litellm/llms/openrouter/chat/transformation.py
@@ -84,5 +84,11 @@ class OpenRouterChatCompletionStreamingHandler(BaseModelResponseIterator):
                 model=chunk["model"],
                 choices=new_choices,
             )
+        except KeyError as e:
+            raise OpenRouterException(
+                message=f"KeyError: {e}, Got unexpected response from OpenRouter: {chunk}",
+                status_code=400,
+                headers={"Content-Type": "application/json"},
+            )
         except Exception as e:
             raise e

From 4fb9d27a35459ede5e22056c99a513138f27713c Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 20:55:43 -0700
Subject: [PATCH 181/244] use constants for redis buffer in DB

---
 litellm/constants.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/litellm/constants.py b/litellm/constants.py
index ea8bc76ac4..e224b3d33e 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -18,6 +18,8 @@ DEFAULT_IMAGE_WIDTH = 300
 DEFAULT_IMAGE_HEIGHT = 300
 MAX_SIZE_PER_ITEM_IN_MEMORY_CACHE_IN_KB = 1024  # 1MB = 1024KB
 SINGLE_DEPLOYMENT_TRAFFIC_FAILURE_THRESHOLD = 1000  # Minimum number of requests to consider "reasonable traffic". Used for single-deployment cooldown logic.
+REDIS_UPDATE_BUFFER_KEY = "litellm_spend_update_buffer"
+MAX_REDIS_BUFFER_DEQUEUE_COUNT = 100
 #### RELIABILITY ####
 REPEATED_STREAMING_CHUNK_LIMIT = 100  # catch if model starts looping the same chunk while streaming. Uses high default to prevent false positives.
 #### Networking settings ####

From 29d6968f58d546244b1744ea1a42fa5d9ab4a798 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 20:57:28 -0700
Subject: [PATCH 182/244] fix linting

---
 litellm/proxy/db/redis_update_buffer.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index f842fc85d2..0b090db56a 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -5,10 +5,11 @@ This is to prevent deadlocks and improve reliability
 """
 
 import json
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import RedisCache
+from litellm.constants import MAX_REDIS_BUFFER_DEQUEUE_COUNT, REDIS_UPDATE_BUFFER_KEY
 from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
 from litellm.proxy._types import DBSpendUpdateTransactions
 from litellm.secret_managers.main import str_to_bool
@@ -18,9 +19,6 @@ if TYPE_CHECKING:
 else:
     PrismaClient = Any
 
-REDIS_UPDATE_BUFFER_KEY = "litellm_spend_update_buffer"
-MAX_REDIS_BUFFER_DEQUEUE_COUNT = 100
-
 
 class RedisUpdateBuffer:
     """
@@ -245,9 +243,9 @@ class RedisUpdateBuffer:
             # Process each field type
             for field in transaction_fields:
                 if transaction.get(field):
-                    for entity_id, amount in transaction[field].items():
-                        combined_transaction[field][entity_id] = (
-                            combined_transaction[field].get(entity_id, 0) + amount
+                    for entity_id, amount in transaction[field].items():  # type: ignore
+                        combined_transaction[field][entity_id] = (  # type: ignore
+                            combined_transaction[field].get(entity_id, 0) + amount  # type: ignore
                         )
 
         return combined_transaction

From c95fb6c692d1ee27f3c6e64eabefa83ab3722b45 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 20:59:28 -0700
Subject: [PATCH 183/244] MAX_REDIS_BUFFER_DEQUEUE_COUNT

---
 litellm/proxy/db/redis_update_buffer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index 0b090db56a..f77c839aaf 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -5,7 +5,7 @@ This is to prevent deadlocks and improve reliability
 """
 
 import json
-from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import RedisCache

From 7c93b19b001e4d7b6c701c92965071c4333395d8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Fri, 28 Mar 2025 21:47:26 -0700
Subject: [PATCH 184/244] add migration.sql

---
 .../migration.sql                             | 407 ++++++++++++++++++
 1 file changed, 407 insertions(+)
 create mode 100644 migrations/20250329044652_add_cron_job_table/migration.sql

diff --git a/migrations/20250329044652_add_cron_job_table/migration.sql b/migrations/20250329044652_add_cron_job_table/migration.sql
new file mode 100644
index 0000000000..edfa99abd5
--- /dev/null
+++ b/migrations/20250329044652_add_cron_job_table/migration.sql
@@ -0,0 +1,407 @@
+-- CreateEnum
+CREATE TYPE "JobStatus" AS ENUM ('ACTIVE', 'INACTIVE');
+
+-- CreateTable
+CREATE TABLE "LiteLLM_BudgetTable" (
+    "budget_id" TEXT NOT NULL,
+    "max_budget" DOUBLE PRECISION,
+    "soft_budget" DOUBLE PRECISION,
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "model_max_budget" JSONB,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_BudgetTable_pkey" PRIMARY KEY ("budget_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_CredentialsTable" (
+    "credential_id" TEXT NOT NULL,
+    "credential_name" TEXT NOT NULL,
+    "credential_values" JSONB NOT NULL,
+    "credential_info" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_CredentialsTable_pkey" PRIMARY KEY ("credential_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ProxyModelTable" (
+    "model_id" TEXT NOT NULL,
+    "model_name" TEXT NOT NULL,
+    "litellm_params" JSONB NOT NULL,
+    "model_info" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_ProxyModelTable_pkey" PRIMARY KEY ("model_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_OrganizationTable" (
+    "organization_id" TEXT NOT NULL,
+    "organization_alias" TEXT NOT NULL,
+    "budget_id" TEXT NOT NULL,
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "models" TEXT[],
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_OrganizationTable_pkey" PRIMARY KEY ("organization_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ModelTable" (
+    "id" SERIAL NOT NULL,
+    "aliases" JSONB,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_ModelTable_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_TeamTable" (
+    "team_id" TEXT NOT NULL,
+    "team_alias" TEXT,
+    "organization_id" TEXT,
+    "admins" TEXT[],
+    "members" TEXT[],
+    "members_with_roles" JSONB NOT NULL DEFAULT '{}',
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "max_budget" DOUBLE PRECISION,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "models" TEXT[],
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "blocked" BOOLEAN NOT NULL DEFAULT false,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "model_id" INTEGER,
+
+    CONSTRAINT "LiteLLM_TeamTable_pkey" PRIMARY KEY ("team_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_UserTable" (
+    "user_id" TEXT NOT NULL,
+    "user_alias" TEXT,
+    "team_id" TEXT,
+    "sso_user_id" TEXT,
+    "organization_id" TEXT,
+    "password" TEXT,
+    "teams" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "user_role" TEXT,
+    "max_budget" DOUBLE PRECISION,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "user_email" TEXT,
+    "models" TEXT[],
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "max_parallel_requests" INTEGER,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "LiteLLM_UserTable_pkey" PRIMARY KEY ("user_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_VerificationToken" (
+    "token" TEXT NOT NULL,
+    "key_name" TEXT,
+    "key_alias" TEXT,
+    "soft_budget_cooldown" BOOLEAN NOT NULL DEFAULT false,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "expires" TIMESTAMP(3),
+    "models" TEXT[],
+    "aliases" JSONB NOT NULL DEFAULT '{}',
+    "config" JSONB NOT NULL DEFAULT '{}',
+    "user_id" TEXT,
+    "team_id" TEXT,
+    "permissions" JSONB NOT NULL DEFAULT '{}',
+    "max_parallel_requests" INTEGER,
+    "metadata" JSONB NOT NULL DEFAULT '{}',
+    "blocked" BOOLEAN,
+    "tpm_limit" BIGINT,
+    "rpm_limit" BIGINT,
+    "max_budget" DOUBLE PRECISION,
+    "budget_duration" TEXT,
+    "budget_reset_at" TIMESTAMP(3),
+    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "model_spend" JSONB NOT NULL DEFAULT '{}',
+    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
+    "budget_id" TEXT,
+    "organization_id" TEXT,
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_by" TEXT,
+
+    CONSTRAINT "LiteLLM_VerificationToken_pkey" PRIMARY KEY ("token")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_EndUserTable" (
+    "user_id" TEXT NOT NULL,
+    "alias" TEXT,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "allowed_model_region" TEXT,
+    "default_model" TEXT,
+    "budget_id" TEXT,
+    "blocked" BOOLEAN NOT NULL DEFAULT false,
+
+    CONSTRAINT "LiteLLM_EndUserTable_pkey" PRIMARY KEY ("user_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_Config" (
+    "param_name" TEXT NOT NULL,
+    "param_value" JSONB,
+
+    CONSTRAINT "LiteLLM_Config_pkey" PRIMARY KEY ("param_name")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_SpendLogs" (
+    "request_id" TEXT NOT NULL,
+    "call_type" TEXT NOT NULL,
+    "api_key" TEXT NOT NULL DEFAULT '',
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "total_tokens" INTEGER NOT NULL DEFAULT 0,
+    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
+    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
+    "startTime" TIMESTAMP(3) NOT NULL,
+    "endTime" TIMESTAMP(3) NOT NULL,
+    "completionStartTime" TIMESTAMP(3),
+    "model" TEXT NOT NULL DEFAULT '',
+    "model_id" TEXT DEFAULT '',
+    "model_group" TEXT DEFAULT '',
+    "custom_llm_provider" TEXT DEFAULT '',
+    "api_base" TEXT DEFAULT '',
+    "user" TEXT DEFAULT '',
+    "metadata" JSONB DEFAULT '{}',
+    "cache_hit" TEXT DEFAULT '',
+    "cache_key" TEXT DEFAULT '',
+    "request_tags" JSONB DEFAULT '[]',
+    "team_id" TEXT,
+    "end_user" TEXT,
+    "requester_ip_address" TEXT,
+    "messages" JSONB DEFAULT '{}',
+    "response" JSONB DEFAULT '{}',
+
+    CONSTRAINT "LiteLLM_SpendLogs_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ErrorLogs" (
+    "request_id" TEXT NOT NULL,
+    "startTime" TIMESTAMP(3) NOT NULL,
+    "endTime" TIMESTAMP(3) NOT NULL,
+    "api_base" TEXT NOT NULL DEFAULT '',
+    "model_group" TEXT NOT NULL DEFAULT '',
+    "litellm_model_name" TEXT NOT NULL DEFAULT '',
+    "model_id" TEXT NOT NULL DEFAULT '',
+    "request_kwargs" JSONB NOT NULL DEFAULT '{}',
+    "exception_type" TEXT NOT NULL DEFAULT '',
+    "exception_string" TEXT NOT NULL DEFAULT '',
+    "status_code" TEXT NOT NULL DEFAULT '',
+
+    CONSTRAINT "LiteLLM_ErrorLogs_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_UserNotifications" (
+    "request_id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "models" TEXT[],
+    "justification" TEXT NOT NULL,
+    "status" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_UserNotifications_pkey" PRIMARY KEY ("request_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_TeamMembership" (
+    "user_id" TEXT NOT NULL,
+    "team_id" TEXT NOT NULL,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "budget_id" TEXT,
+
+    CONSTRAINT "LiteLLM_TeamMembership_pkey" PRIMARY KEY ("user_id","team_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_OrganizationMembership" (
+    "user_id" TEXT NOT NULL,
+    "organization_id" TEXT NOT NULL,
+    "user_role" TEXT,
+    "spend" DOUBLE PRECISION DEFAULT 0.0,
+    "budget_id" TEXT,
+    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "LiteLLM_OrganizationMembership_pkey" PRIMARY KEY ("user_id","organization_id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_InvitationLink" (
+    "id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "is_accepted" BOOLEAN NOT NULL DEFAULT false,
+    "accepted_at" TIMESTAMP(3),
+    "expires_at" TIMESTAMP(3) NOT NULL,
+    "created_at" TIMESTAMP(3) NOT NULL,
+    "created_by" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL,
+    "updated_by" TEXT NOT NULL,
+
+    CONSTRAINT "LiteLLM_InvitationLink_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_AuditLog" (
+    "id" TEXT NOT NULL,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "changed_by" TEXT NOT NULL DEFAULT '',
+    "changed_by_api_key" TEXT NOT NULL DEFAULT '',
+    "action" TEXT NOT NULL,
+    "table_name" TEXT NOT NULL,
+    "object_id" TEXT NOT NULL,
+    "before_value" JSONB,
+    "updated_values" JSONB,
+
+    CONSTRAINT "LiteLLM_AuditLog_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_DailyUserSpend" (
+    "id" TEXT NOT NULL,
+    "user_id" TEXT NOT NULL,
+    "date" TEXT NOT NULL,
+    "api_key" TEXT NOT NULL,
+    "model" TEXT NOT NULL,
+    "model_group" TEXT,
+    "custom_llm_provider" TEXT,
+    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
+    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "api_requests" INTEGER NOT NULL DEFAULT 0,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMP(3) NOT NULL,
+
+    CONSTRAINT "LiteLLM_DailyUserSpend_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "LiteLLM_CronJob" (
+    "cronjob_id" TEXT NOT NULL,
+    "pod_id" TEXT NOT NULL,
+    "status" "JobStatus" NOT NULL DEFAULT 'INACTIVE',
+    "last_updated" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "ttl" TIMESTAMP(3) NOT NULL,
+
+    CONSTRAINT "LiteLLM_CronJob_pkey" PRIMARY KEY ("cronjob_id")
+);
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_CredentialsTable_credential_name_key" ON "LiteLLM_CredentialsTable"("credential_name");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_TeamTable_model_id_key" ON "LiteLLM_TeamTable"("model_id");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_UserTable_sso_user_id_key" ON "LiteLLM_UserTable"("sso_user_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_SpendLogs_startTime_idx" ON "LiteLLM_SpendLogs"("startTime");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_SpendLogs_end_user_idx" ON "LiteLLM_SpendLogs"("end_user");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_OrganizationMembership_user_id_organization_id_key" ON "LiteLLM_OrganizationMembership"("user_id", "organization_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_date_idx" ON "LiteLLM_DailyUserSpend"("date");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_user_id_idx" ON "LiteLLM_DailyUserSpend"("user_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_api_key_idx" ON "LiteLLM_DailyUserSpend"("api_key");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_DailyUserSpend_model_idx" ON "LiteLLM_DailyUserSpend"("model");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_DailyUserSpend_user_id_date_api_key_model_custom_ll_key" ON "LiteLLM_DailyUserSpend"("user_id", "date", "api_key", "model", "custom_llm_provider");
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationTable" ADD CONSTRAINT "LiteLLM_OrganizationTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_model_id_fkey" FOREIGN KEY ("model_id") REFERENCES "LiteLLM_ModelTable"("id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_UserTable" ADD CONSTRAINT "LiteLLM_UserTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_EndUserTable" ADD CONSTRAINT "LiteLLM_EndUserTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TeamMembership" ADD CONSTRAINT "LiteLLM_TeamMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_created_by_fkey" FOREIGN KEY ("created_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_updated_by_fkey" FOREIGN KEY ("updated_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;

From 5ac61a75725b8bf3679f392c775405f135044967 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 00:23:09 -0700
Subject: [PATCH 185/244] Add bedrock latency optimized inference support
 (#9623)

* fix(converse_transformation.py): add performanceConfig param support on bedrock

Closes https://github.com/BerriAI/litellm/issues/7606

* fix(converse_transformation.py): refactor to use more flexible single getter for params which are separate config blocks

* test(test_main.py): add e2e mock test for bedrock performance config

* build(model_prices_and_context_window.json): add versioned multimodal embedding

* refactor(multimodal_embeddings/): migrate to config pattern

* feat(vertex_ai/multimodalembeddings): calculate usage for multimodal embedding calls

Enables cost calculation for multimodal embeddings

* feat(vertex_ai/multimodalembeddings): get usage object for embedding calls

ensures accurate cost tracking for vertexai multimodal embedding calls

* fix(embedding_handler.py): remove unused imports

* fix: fix linting errors

* fix: handle response api usage calculation

* test(test_vertex_ai_multimodal_embedding_transformation.py): update tests

* test: mark flaky test

* feat(vertex_ai/multimodal_embeddings/transformation.py): support text+image+video input

* docs(vertex.md): document sending text + image to vertex multimodal embeddings

* test: remove incorrect file

* fix(multimodal_embeddings/transformation.py): fix linting error

* style: remove unused import
---
 docs/my-website/docs/providers/vertex.md      | 116 ++++++-
 litellm/cost_calculator.py                    |  38 ++-
 .../litellm_core_utils/llm_cost_calc/utils.py |  91 +++++-
 .../bedrock/chat/converse_transformation.py   |  23 +-
 litellm/llms/vertex_ai/cost_calculator.py     |   1 +
 .../embedding_handler.py                      | 206 +++---------
 .../multimodal_embeddings/transformation.py   | 297 ++++++++++++++++++
 litellm/main.py                               |   1 +
 ...odel_prices_and_context_window_backup.json |  17 +
 litellm/responses/utils.py                    |  14 +-
 litellm/types/llms/bedrock.py                 |   9 +-
 litellm/types/llms/vertex_ai.py               |  12 +-
 litellm/types/utils.py                        |  18 ++
 model_prices_and_context_window.json          |  17 +
 .../test_embedding_handler.py                 |  43 ---
 ..._ai_multimodal_embedding_transformation.py |  78 +++++
 tests/litellm/test_main.py                    |  20 ++
 tests/llm_translation/test_openai.py          |   1 +
 .../test_amazing_vertex_completion.py         |  49 +++
 19 files changed, 806 insertions(+), 245 deletions(-)
 create mode 100644 litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
 delete mode 100644 tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
 create mode 100644 tests/litellm/llms/vertex_ai/multimodal_embeddings/test_vertex_ai_multimodal_embedding_transformation.py

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index f2489de769..103cc07ef5 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -2080,7 +2080,12 @@ print(response)
 
 ## **Multi-Modal Embeddings**
 
-Usage
+
+Known Limitations:
+- Only supports 1 image / video / image per request
+- Only supports GCS or base64 encoded images / videos
+
+### Usage
 
 <Tabs>
 <TabItem value="sdk" label="SDK">
@@ -2296,6 +2301,115 @@ print(f"Text Embedding: {embeddings.text_embedding}")
 </Tabs>
 
 
+### Text + Image + Video Embeddings
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+Text + Image 
+
+```python
+response = await litellm.aembedding(
+    model="vertex_ai/multimodalembedding@001",
+    input=["hey", "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png"] # will be sent as a gcs image
+)
+```
+
+Text + Video 
+
+```python
+response = await litellm.aembedding(
+    model="vertex_ai/multimodalembedding@001",
+    input=["hey", "gs://my-bucket/embeddings/supermarket-video.mp4"] # will be sent as a gcs image
+)
+```
+
+Image + Video 
+
+```python
+response = await litellm.aembedding(
+    model="vertex_ai/multimodalembedding@001",
+    input=["gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png", "gs://my-bucket/embeddings/supermarket-video.mp4"] # will be sent as a gcs image
+)
+```
+
+
+</TabItem>
+<TabItem value="proxy" label="LiteLLM PROXY (Unified Endpoint)">
+
+1. Add model to config.yaml
+```yaml
+model_list:
+  - model_name: multimodalembedding@001
+    litellm_params:
+      model: vertex_ai/multimodalembedding@001
+      vertex_project: "adroit-crow-413218"
+      vertex_location: "us-central1"
+      vertex_credentials: adroit-crow-413218-a956eef1a2a8.json 
+
+litellm_settings:
+  drop_params: True
+```
+
+2. Start Proxy 
+
+```
+$ litellm --config /path/to/config.yaml
+```
+
+3. Make Request use OpenAI Python SDK, Langchain Python SDK
+
+
+Text + Image 
+
+```python
+import openai
+
+client = openai.OpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000")
+
+# # request sent to model set on litellm proxy, `litellm --model`
+response = client.embeddings.create(
+    model="multimodalembedding@001", 
+    input = ["hey", "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png"],
+)
+
+print(response)
+```
+
+Text + Video 
+```python
+import openai
+
+client = openai.OpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000")
+
+# # request sent to model set on litellm proxy, `litellm --model`
+response = client.embeddings.create(
+    model="multimodalembedding@001", 
+    input = ["hey", "gs://my-bucket/embeddings/supermarket-video.mp4"],
+)
+
+print(response)
+```
+
+Image + Video 
+```python
+import openai
+
+client = openai.OpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000")
+
+# # request sent to model set on litellm proxy, `litellm --model`
+response = client.embeddings.create(
+    model="multimodalembedding@001", 
+    input = ["gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png", "gs://my-bucket/embeddings/supermarket-video.mp4"],
+)
+
+print(response)
+```
+
+</TabItem>
+</Tabs>
+
+
 ## **Image Generation Models**
 
 Usage 
diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 7b95c45ac7..f343591443 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -2,7 +2,7 @@
 ## File for 'response_cost' calculation in Logging
 import time
 from functools import lru_cache
-from typing import Any, List, Literal, Optional, Tuple, Union
+from typing import Any, List, Literal, Optional, Tuple, Union, cast
 
 from pydantic import BaseModel
 
@@ -462,13 +462,36 @@ def _model_contains_known_llm_provider(model: str) -> bool:
 def _get_usage_object(
     completion_response: Any,
 ) -> Optional[Usage]:
-    usage_obj: Optional[Usage] = None
-    if completion_response is not None and isinstance(
-        completion_response, ModelResponse
-    ):
-        usage_obj = completion_response.get("usage")
+    usage_obj = cast(
+        Union[Usage, ResponseAPIUsage, dict, BaseModel],
+        (
+            completion_response.get("usage")
+            if isinstance(completion_response, dict)
+            else getattr(completion_response, "get", lambda x: None)("usage")
+        ),
+    )
 
-    return usage_obj
+    if usage_obj is None:
+        return None
+    if isinstance(usage_obj, Usage):
+        return usage_obj
+    elif (
+        usage_obj is not None
+        and (isinstance(usage_obj, dict) or isinstance(usage_obj, ResponseAPIUsage))
+        and ResponseAPILoggingUtils._is_response_api_usage(usage_obj)
+    ):
+        return ResponseAPILoggingUtils._transform_response_api_usage_to_chat_usage(
+            usage_obj
+        )
+    elif isinstance(usage_obj, dict):
+        return Usage(**usage_obj)
+    elif isinstance(usage_obj, BaseModel):
+        return Usage(**usage_obj.model_dump())
+    else:
+        verbose_logger.debug(
+            f"Unknown usage object type: {type(usage_obj)}, usage_obj: {usage_obj}"
+        )
+        return None
 
 
 def _is_known_usage_objects(usage_obj):
@@ -662,6 +685,7 @@ def completion_cost(  # noqa: PLR0915
             elif len(prompt) > 0:
                 prompt_tokens = token_counter(model=model, text=prompt)
             completion_tokens = token_counter(model=model, text=completion)
+
         if model is None:
             raise ValueError(
                 f"Model is None and does not exist in passed completion_response. Passed completion_response={completion_response}, model={model}"
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 6b778344d7..caccbc4bac 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -121,6 +121,31 @@ def _get_completion_token_base_cost(model_info: ModelInfo, usage: Usage) -> floa
     return model_info["output_cost_per_token"]
 
 
+def calculate_cost_component(
+    model_info: ModelInfo, cost_key: str, usage_value: Optional[float]
+) -> float:
+    """
+    Generic cost calculator for any usage component
+
+    Args:
+        model_info: Dictionary containing cost information
+        cost_key: The key for the cost multiplier in model_info (e.g., 'input_cost_per_audio_token')
+        usage_value: The actual usage value (e.g., number of tokens, characters, seconds)
+
+    Returns:
+        float: The calculated cost
+    """
+    cost_per_unit = model_info.get(cost_key)
+    if (
+        cost_per_unit is not None
+        and isinstance(cost_per_unit, float)
+        and usage_value is not None
+        and usage_value > 0
+    ):
+        return float(usage_value) * cost_per_unit
+    return 0.0
+
+
 def generic_cost_per_token(
     model: str, usage: Usage, custom_llm_provider: str
 ) -> Tuple[float, float]:
@@ -136,6 +161,7 @@ def generic_cost_per_token(
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
     """
+
     ## GET MODEL INFO
     model_info = get_model_info(model=model, custom_llm_provider=custom_llm_provider)
 
@@ -146,6 +172,9 @@ def generic_cost_per_token(
     text_tokens = usage.prompt_tokens
     cache_hit_tokens = 0
     audio_tokens = 0
+    character_count = 0
+    image_count = 0
+    video_length_seconds = 0
     if usage.prompt_tokens_details:
         cache_hit_tokens = (
             cast(
@@ -163,6 +192,24 @@ def generic_cost_per_token(
             cast(Optional[int], getattr(usage.prompt_tokens_details, "audio_tokens", 0))
             or 0
         )
+        character_count = (
+            cast(
+                Optional[int],
+                getattr(usage.prompt_tokens_details, "character_count", 0),
+            )
+            or 0
+        )
+        image_count = (
+            cast(Optional[int], getattr(usage.prompt_tokens_details, "image_count", 0))
+            or 0
+        )
+        video_length_seconds = (
+            cast(
+                Optional[int],
+                getattr(usage.prompt_tokens_details, "video_length_seconds", 0),
+            )
+            or 0
+        )
 
     ## EDGE CASE - text tokens not set inside PromptTokensDetails
     if text_tokens == 0:
@@ -172,28 +219,38 @@ def generic_cost_per_token(
 
     prompt_cost = float(text_tokens) * prompt_base_cost
 
-    _cache_read_input_token_cost = model_info.get("cache_read_input_token_cost")
-
     ### CACHE READ COST
-    if (
-        _cache_read_input_token_cost is not None
-        and cache_hit_tokens is not None
-        and cache_hit_tokens > 0
-    ):
-        prompt_cost += float(cache_hit_tokens) * _cache_read_input_token_cost
+    prompt_cost += calculate_cost_component(
+        model_info, "cache_read_input_token_cost", cache_hit_tokens
+    )
 
     ### AUDIO COST
-
-    audio_token_cost = model_info.get("input_cost_per_audio_token")
-    if audio_token_cost is not None and audio_tokens is not None and audio_tokens > 0:
-        prompt_cost += float(audio_tokens) * audio_token_cost
+    prompt_cost += calculate_cost_component(
+        model_info, "input_cost_per_audio_token", audio_tokens
+    )
 
     ### CACHE WRITING COST
-    _cache_creation_input_token_cost = model_info.get("cache_creation_input_token_cost")
-    if _cache_creation_input_token_cost is not None:
-        prompt_cost += (
-            float(usage._cache_creation_input_tokens) * _cache_creation_input_token_cost
-        )
+    prompt_cost += calculate_cost_component(
+        model_info,
+        "cache_creation_input_token_cost",
+        usage._cache_creation_input_tokens,
+    )
+
+    ### CHARACTER COST
+
+    prompt_cost += calculate_cost_component(
+        model_info, "input_cost_per_character", character_count
+    )
+
+    ### IMAGE COUNT COST
+    prompt_cost += calculate_cost_component(
+        model_info, "input_cost_per_image", image_count
+    )
+
+    ### VIDEO LENGTH COST
+    prompt_cost += calculate_cost_component(
+        model_info, "input_cost_per_video_per_second", video_length_seconds
+    )
 
     ## CALCULATE OUTPUT COST
     completion_base_cost = _get_completion_token_base_cost(
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index b63b76a8ee..ced9c469b3 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -66,6 +66,13 @@ class AmazonConverseConfig(BaseConfig):
     def custom_llm_provider(self) -> Optional[str]:
         return "bedrock_converse"
 
+    @classmethod
+    def get_config_blocks(cls) -> dict:
+        return {
+            "guardrailConfig": GuardrailConfigBlock,
+            "performanceConfig": PerformanceConfigBlock,
+        }
+
     @classmethod
     def get_config(cls):
         return {
@@ -394,7 +401,6 @@ class AmazonConverseConfig(BaseConfig):
         optional_params: dict,
         messages: Optional[List[AllMessageValues]] = None,
     ) -> CommonRequestObject:
-
         ## VALIDATE REQUEST
         """
         Bedrock doesn't support tool calling without `tools=` param specified.
@@ -420,11 +426,11 @@ class AmazonConverseConfig(BaseConfig):
             AmazonConverseConfig.__annotations__.keys()
         ) + ["top_k"]
         supported_tool_call_params = ["tools", "tool_choice"]
-        supported_guardrail_params = ["guardrailConfig"]
+        supported_config_params = list(self.get_config_blocks().keys())
         total_supported_params = (
             supported_converse_params
             + supported_tool_call_params
-            + supported_guardrail_params
+            + supported_config_params
         )
         inference_params.pop("json_mode", None)  # used for handling json_schema
 
@@ -463,12 +469,11 @@ class AmazonConverseConfig(BaseConfig):
             ),
         }
 
-        # Guardrail Config
-        guardrail_config: Optional[GuardrailConfigBlock] = None
-        request_guardrails_config = inference_params.pop("guardrailConfig", None)
-        if request_guardrails_config is not None:
-            guardrail_config = GuardrailConfigBlock(**request_guardrails_config)
-            data["guardrailConfig"] = guardrail_config
+        # Handle all config blocks
+        for config_name, config_class in self.get_config_blocks().items():
+            config_value = inference_params.pop(config_name, None)
+            if config_value is not None:
+                data[config_name] = config_class(**config_value)  # type: ignore
 
         # Tool Config
         if bedrock_tool_config is not None:
diff --git a/litellm/llms/vertex_ai/cost_calculator.py b/litellm/llms/vertex_ai/cost_calculator.py
index 54efc62589..119ba2b036 100644
--- a/litellm/llms/vertex_ai/cost_calculator.py
+++ b/litellm/llms/vertex_ai/cost_calculator.py
@@ -239,6 +239,7 @@ def cost_per_token(
     Raises:
         Exception if model requires >128k pricing, but model cost not mapped
     """
+
     ## GET MODEL INFO
     model_info = litellm.get_model_info(
         model=model, custom_llm_provider=custom_llm_provider
diff --git a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
index cd3de6e526..34879ae9ac 100644
--- a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
+++ b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
@@ -1,5 +1,5 @@
 import json
-from typing import List, Literal, Optional, Union
+from typing import Literal, Optional, Union
 
 import httpx
 
@@ -14,15 +14,11 @@ from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
     VertexAIError,
     VertexLLM,
 )
-from litellm.types.llms.vertex_ai import (
-    Instance,
-    InstanceImage,
-    InstanceVideo,
-    MultimodalPredictions,
-    VertexMultimodalEmbeddingRequest,
-)
-from litellm.types.utils import Embedding, EmbeddingResponse
-from litellm.utils import is_base64_encoded
+from litellm.types.utils import EmbeddingResponse
+
+from .transformation import VertexAIMultimodalEmbeddingConfig
+
+vertex_multimodal_embedding_handler = VertexAIMultimodalEmbeddingConfig()
 
 
 class VertexMultimodalEmbedding(VertexLLM):
@@ -41,9 +37,11 @@ class VertexMultimodalEmbedding(VertexLLM):
         model_response: EmbeddingResponse,
         custom_llm_provider: Literal["gemini", "vertex_ai"],
         optional_params: dict,
+        litellm_params: dict,
         logging_obj: LiteLLMLoggingObj,
         api_key: Optional[str] = None,
         api_base: Optional[str] = None,
+        headers: dict = {},
         encoding=None,
         vertex_project=None,
         vertex_location=None,
@@ -86,31 +84,18 @@ class VertexMultimodalEmbedding(VertexLLM):
         else:
             sync_handler = client  # type: ignore
 
-        optional_params = optional_params or {}
+        request_data = vertex_multimodal_embedding_handler.transform_embedding_request(
+            model, input, optional_params, headers
+        )
 
-        request_data = VertexMultimodalEmbeddingRequest()
-
-        if "instances" in optional_params:
-            request_data["instances"] = optional_params["instances"]
-        elif isinstance(input, list):
-            vertex_instances: List[Instance] = self.process_openai_embedding_input(
-                _input=input
-            )
-            request_data["instances"] = vertex_instances
-
-        else:
-            # construct instances
-            vertex_request_instance = Instance(**optional_params)
-
-            if isinstance(input, str):
-                vertex_request_instance = self._process_input_element(input)
-
-            request_data["instances"] = [vertex_request_instance]
-
-        headers = {
-            "Content-Type": "application/json; charset=utf-8",
-            "Authorization": f"Bearer {auth_header}",
-        }
+        headers = vertex_multimodal_embedding_handler.validate_environment(
+            headers=headers,
+            model=model,
+            messages=[],
+            optional_params=optional_params,
+            api_key=auth_header,
+            api_base=api_base,
+        )
 
         ## LOGGING
         logging_obj.pre_call(
@@ -132,6 +117,10 @@ class VertexMultimodalEmbedding(VertexLLM):
                 headers=headers,
                 client=client,
                 model_response=model_response,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
+                logging_obj=logging_obj,
+                api_key=api_key,
             )
 
         response = sync_handler.post(
@@ -140,34 +129,30 @@ class VertexMultimodalEmbedding(VertexLLM):
             data=json.dumps(request_data),
         )
 
-        if response.status_code != 200:
-            raise Exception(f"Error: {response.status_code} {response.text}")
-
-        _json_response = response.json()
-        if "predictions" not in _json_response:
-            raise litellm.InternalServerError(
-                message=f"embedding response does not contain 'predictions', got {_json_response}",
-                llm_provider="vertex_ai",
-                model=model,
-            )
-        _predictions = _json_response["predictions"]
-        vertex_predictions = MultimodalPredictions(predictions=_predictions)
-        model_response.data = self.transform_embedding_response_to_openai(
-            predictions=vertex_predictions
+        return vertex_multimodal_embedding_handler.transform_embedding_response(
+            model=model,
+            raw_response=response,
+            model_response=model_response,
+            logging_obj=logging_obj,
+            api_key=api_key,
+            request_data=request_data,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
         )
-        model_response.model = model
-
-        return model_response
 
     async def async_multimodal_embedding(
         self,
         model: str,
         api_base: str,
-        data: VertexMultimodalEmbeddingRequest,
+        optional_params: dict,
+        litellm_params: dict,
+        data: dict,
         model_response: litellm.EmbeddingResponse,
         timeout: Optional[Union[float, httpx.Timeout]],
+        logging_obj: LiteLLMLoggingObj,
         headers={},
         client: Optional[AsyncHTTPHandler] = None,
+        api_key: Optional[str] = None,
     ) -> litellm.EmbeddingResponse:
         if client is None:
             _params = {}
@@ -191,112 +176,13 @@ class VertexMultimodalEmbedding(VertexLLM):
         except httpx.TimeoutException:
             raise VertexAIError(status_code=408, message="Timeout error occurred.")
 
-        _json_response = response.json()
-        if "predictions" not in _json_response:
-            raise litellm.InternalServerError(
-                message=f"embedding response does not contain 'predictions', got {_json_response}",
-                llm_provider="vertex_ai",
-                model=model,
-            )
-        _predictions = _json_response["predictions"]
-
-        vertex_predictions = MultimodalPredictions(predictions=_predictions)
-        model_response.data = self.transform_embedding_response_to_openai(
-            predictions=vertex_predictions
+        return vertex_multimodal_embedding_handler.transform_embedding_response(
+            model=model,
+            raw_response=response,
+            model_response=model_response,
+            logging_obj=logging_obj,
+            api_key=api_key,
+            request_data=data,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
         )
-        model_response.model = model
-
-        return model_response
-
-    def _process_input_element(self, input_element: str) -> Instance:
-        """
-        Process the input element for multimodal embedding requests. checks if the if the input is gcs uri, base64 encoded image or plain text.
-
-        Args:
-            input_element (str): The input element to process.
-
-        Returns:
-            Dict[str, Any]: A dictionary representing the processed input element.
-        """
-        if len(input_element) == 0:
-            return Instance(text=input_element)
-        elif "gs://" in input_element:
-            if "mp4" in input_element:
-                return Instance(video=InstanceVideo(gcsUri=input_element))
-            else:
-                return Instance(image=InstanceImage(gcsUri=input_element))
-        elif is_base64_encoded(s=input_element):
-            return Instance(
-                image=InstanceImage(
-                    bytesBase64Encoded=(
-                        input_element.split(",")[1]
-                        if "," in input_element
-                        else input_element
-                    )
-                )
-            )
-        else:
-            return Instance(text=input_element)
-
-    def process_openai_embedding_input(
-        self, _input: Union[list, str]
-    ) -> List[Instance]:
-        """
-        Process the input for multimodal embedding requests.
-
-        Args:
-            _input (Union[list, str]): The input data to process.
-
-        Returns:
-            List[Instance]: A list of processed VertexAI Instance objects.
-        """
-
-        _input_list = None
-        if not isinstance(_input, list):
-            _input_list = [_input]
-        else:
-            _input_list = _input
-
-        processed_instances = []
-        for element in _input_list:
-            if isinstance(element, str):
-                instance = Instance(**self._process_input_element(element))
-            elif isinstance(element, dict):
-                instance = Instance(**element)
-            else:
-                raise ValueError(f"Unsupported input type: {type(element)}")
-            processed_instances.append(instance)
-
-        return processed_instances
-
-    def transform_embedding_response_to_openai(
-        self, predictions: MultimodalPredictions
-    ) -> List[Embedding]:
-
-        openai_embeddings: List[Embedding] = []
-        if "predictions" in predictions:
-            for idx, _prediction in enumerate(predictions["predictions"]):
-                if _prediction:
-                    if "textEmbedding" in _prediction:
-                        openai_embedding_object = Embedding(
-                            embedding=_prediction["textEmbedding"],
-                            index=idx,
-                            object="embedding",
-                        )
-                        openai_embeddings.append(openai_embedding_object)
-                    elif "imageEmbedding" in _prediction:
-                        openai_embedding_object = Embedding(
-                            embedding=_prediction["imageEmbedding"],
-                            index=idx,
-                            object="embedding",
-                        )
-                        openai_embeddings.append(openai_embedding_object)
-                    elif "videoEmbeddings" in _prediction:
-                        for video_embedding in _prediction["videoEmbeddings"]:
-                            openai_embedding_object = Embedding(
-                                embedding=video_embedding["embedding"],
-                                index=idx,
-                                object="embedding",
-                            )
-                            openai_embeddings.append(openai_embedding_object)
-        return openai_embeddings
diff --git a/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py b/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
new file mode 100644
index 0000000000..8f96ca2bb0
--- /dev/null
+++ b/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
@@ -0,0 +1,297 @@
+from typing import List, Optional, Union, cast
+
+from httpx import Headers, Response
+
+from litellm.exceptions import InternalServerError
+from litellm.llms.base_llm.chat.transformation import BaseLLMException
+from litellm.llms.base_llm.embedding.transformation import LiteLLMLoggingObj
+from litellm.types.llms.openai import AllEmbeddingInputValues, AllMessageValues
+from litellm.types.llms.vertex_ai import (
+    Instance,
+    InstanceImage,
+    InstanceVideo,
+    MultimodalPredictions,
+    VertexMultimodalEmbeddingRequest,
+)
+from litellm.types.utils import (
+    Embedding,
+    EmbeddingResponse,
+    PromptTokensDetailsWrapper,
+    Usage,
+)
+from litellm.utils import _count_characters, is_base64_encoded
+
+from ...base_llm.embedding.transformation import BaseEmbeddingConfig
+from ..common_utils import VertexAIError
+
+
+class VertexAIMultimodalEmbeddingConfig(BaseEmbeddingConfig):
+    def get_supported_openai_params(self, model: str) -> list:
+        return ["dimensions"]
+
+    def map_openai_params(
+        self,
+        non_default_params: dict,
+        optional_params: dict,
+        model: str,
+        drop_params: bool,
+    ) -> dict:
+        for param, value in non_default_params.items():
+            if param == "dimensions":
+                optional_params["outputDimensionality"] = value
+        return optional_params
+
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> dict:
+        default_headers = {
+            "Content-Type": "application/json; charset=utf-8",
+            "Authorization": f"Bearer {api_key}",
+        }
+        headers.update(default_headers)
+        return headers
+
+    def _process_input_element(self, input_element: str) -> Instance:
+        """
+        Process the input element for multimodal embedding requests. checks if the if the input is gcs uri, base64 encoded image or plain text.
+
+        Args:
+            input_element (str): The input element to process.
+
+        Returns:
+            Dict[str, Any]: A dictionary representing the processed input element.
+        """
+        if len(input_element) == 0:
+            return Instance(text=input_element)
+        elif "gs://" in input_element:
+            if "mp4" in input_element:
+                return Instance(video=InstanceVideo(gcsUri=input_element))
+            else:
+                return Instance(image=InstanceImage(gcsUri=input_element))
+        elif is_base64_encoded(s=input_element):
+            return Instance(
+                image=InstanceImage(
+                    bytesBase64Encoded=(
+                        input_element.split(",")[1]
+                        if "," in input_element
+                        else input_element
+                    )
+                )
+            )
+        else:
+            return Instance(text=input_element)
+
+    def process_openai_embedding_input(
+        self, _input: Union[list, str]
+    ) -> List[Instance]:
+        """
+        Process the input for multimodal embedding requests.
+
+        Args:
+            _input (Union[list, str]): The input data to process.
+
+        Returns:
+            Union[Instance, List[Instance]]: Either a single Instance or list of Instance objects.
+        """
+        _input_list = [_input] if not isinstance(_input, list) else _input
+        processed_instances = []
+
+        i = 0
+        while i < len(_input_list):
+            current = _input_list[i]
+
+            # Look ahead for potential media elements
+            next_elem = _input_list[i + 1] if i + 1 < len(_input_list) else None
+
+            # If current is a text and next is a GCS URI, or current is a GCS URI
+            if isinstance(current, str):
+                instance_args: Instance = {}
+
+                # Process current element
+                if "gs://" not in current:
+                    instance_args["text"] = current
+                elif "mp4" in current:
+                    instance_args["video"] = InstanceVideo(gcsUri=current)
+                else:
+                    instance_args["image"] = InstanceImage(gcsUri=current)
+
+                # Check next element if it's a GCS URI
+                if next_elem and isinstance(next_elem, str) and "gs://" in next_elem:
+                    if "mp4" in next_elem:
+                        instance_args["video"] = InstanceVideo(gcsUri=next_elem)
+                    else:
+                        instance_args["image"] = InstanceImage(gcsUri=next_elem)
+                    i += 2  # Skip next element since we processed it
+                else:
+                    i += 1  # Move to next element
+
+                processed_instances.append(instance_args)
+                continue
+
+            # Handle dict or other types
+            if isinstance(current, dict):
+                instance = Instance(**current)
+                processed_instances.append(instance)
+            else:
+                raise ValueError(f"Unsupported input type: {type(current)}")
+            i += 1
+
+        return processed_instances
+
+    def transform_embedding_request(
+        self,
+        model: str,
+        input: AllEmbeddingInputValues,
+        optional_params: dict,
+        headers: dict,
+    ) -> dict:
+        optional_params = optional_params or {}
+
+        request_data = VertexMultimodalEmbeddingRequest(instances=[])
+
+        if "instances" in optional_params:
+            request_data["instances"] = optional_params["instances"]
+        elif isinstance(input, list):
+            vertex_instances: List[Instance] = self.process_openai_embedding_input(
+                _input=input
+            )
+            request_data["instances"] = vertex_instances
+
+        else:
+            # construct instances
+            vertex_request_instance = Instance(**optional_params)
+
+            if isinstance(input, str):
+                vertex_request_instance = self._process_input_element(input)
+
+            request_data["instances"] = [vertex_request_instance]
+
+        return cast(dict, request_data)
+
+    def transform_embedding_response(
+        self,
+        model: str,
+        raw_response: Response,
+        model_response: EmbeddingResponse,
+        logging_obj: LiteLLMLoggingObj,
+        api_key: Optional[str],
+        request_data: dict,
+        optional_params: dict,
+        litellm_params: dict,
+    ) -> EmbeddingResponse:
+        if raw_response.status_code != 200:
+            raise Exception(f"Error: {raw_response.status_code} {raw_response.text}")
+
+        _json_response = raw_response.json()
+        if "predictions" not in _json_response:
+            raise InternalServerError(
+                message=f"embedding response does not contain 'predictions', got {_json_response}",
+                llm_provider="vertex_ai",
+                model=model,
+            )
+        _predictions = _json_response["predictions"]
+        vertex_predictions = MultimodalPredictions(predictions=_predictions)
+        model_response.data = self.transform_embedding_response_to_openai(
+            predictions=vertex_predictions
+        )
+        model_response.model = model
+
+        model_response.usage = self.calculate_usage(
+            request_data=cast(VertexMultimodalEmbeddingRequest, request_data),
+            vertex_predictions=vertex_predictions,
+        )
+
+        return model_response
+
+    def calculate_usage(
+        self,
+        request_data: VertexMultimodalEmbeddingRequest,
+        vertex_predictions: MultimodalPredictions,
+    ) -> Usage:
+        ## Calculate text embeddings usage
+        prompt: Optional[str] = None
+        character_count: Optional[int] = None
+
+        for instance in request_data["instances"]:
+            text = instance.get("text")
+            if text:
+                if prompt is None:
+                    prompt = text
+                else:
+                    prompt += text
+
+        if prompt is not None:
+            character_count = _count_characters(prompt)
+
+        ## Calculate image embeddings usage
+        image_count = 0
+        for instance in request_data["instances"]:
+            if instance.get("image"):
+                image_count += 1
+
+        ## Calculate video embeddings usage
+        video_length_seconds = 0
+        for prediction in vertex_predictions["predictions"]:
+            video_embeddings = prediction.get("videoEmbeddings")
+            if video_embeddings:
+                for embedding in video_embeddings:
+                    duration = embedding["endOffsetSec"] - embedding["startOffsetSec"]
+                    video_length_seconds += duration
+
+        prompt_tokens_details = PromptTokensDetailsWrapper(
+            character_count=character_count,
+            image_count=image_count,
+            video_length_seconds=video_length_seconds,
+        )
+
+        return Usage(
+            prompt_tokens=0,
+            completion_tokens=0,
+            total_tokens=0,
+            prompt_tokens_details=prompt_tokens_details,
+        )
+
+    def transform_embedding_response_to_openai(
+        self, predictions: MultimodalPredictions
+    ) -> List[Embedding]:
+
+        openai_embeddings: List[Embedding] = []
+        if "predictions" in predictions:
+            for idx, _prediction in enumerate(predictions["predictions"]):
+                if _prediction:
+                    if "textEmbedding" in _prediction:
+                        openai_embedding_object = Embedding(
+                            embedding=_prediction["textEmbedding"],
+                            index=idx,
+                            object="embedding",
+                        )
+                        openai_embeddings.append(openai_embedding_object)
+                    elif "imageEmbedding" in _prediction:
+                        openai_embedding_object = Embedding(
+                            embedding=_prediction["imageEmbedding"],
+                            index=idx,
+                            object="embedding",
+                        )
+                        openai_embeddings.append(openai_embedding_object)
+                    elif "videoEmbeddings" in _prediction:
+                        for video_embedding in _prediction["videoEmbeddings"]:
+                            openai_embedding_object = Embedding(
+                                embedding=video_embedding["embedding"],
+                                index=idx,
+                                object="embedding",
+                            )
+                            openai_embeddings.append(openai_embedding_object)
+        return openai_embeddings
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: Union[dict, Headers]
+    ) -> BaseLLMException:
+        return VertexAIError(
+            status_code=status_code, message=error_message, headers=headers
+        )
diff --git a/litellm/main.py b/litellm/main.py
index b2732c165c..1e6c36aa6c 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -3723,6 +3723,7 @@ def embedding(  # noqa: PLR0915
                     encoding=encoding,
                     logging_obj=logging,
                     optional_params=optional_params,
+                    litellm_params=litellm_params_dict,
                     model_response=EmbeddingResponse(),
                     vertex_project=vertex_ai_project,
                     vertex_location=vertex_ai_location,
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index da780f8353..4ce592d7b0 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -5409,6 +5409,23 @@
         "supported_modalities": ["text", "image", "video"],
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
     },
+    "multimodalembedding@001": {
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
+        "output_vector_size": 768,
+        "input_cost_per_character": 0.0000002,
+        "input_cost_per_image": 0.0001,
+        "input_cost_per_video_per_second": 0.0005,
+        "input_cost_per_video_per_second_above_8s_interval": 0.0010,
+        "input_cost_per_video_per_second_above_15s_interval": 0.0020,
+        "input_cost_per_token": 0.0000008,
+        "output_cost_per_token": 0,
+        "litellm_provider": "vertex_ai-embedding-models",
+        "mode": "embedding",
+        "supported_endpoints": ["/v1/embeddings"],
+        "supported_modalities": ["text", "image", "video"],
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
+    },
     "text-embedding-large-exp-03-07": {
         "max_tokens": 8192,
         "max_input_tokens": 8192,
diff --git a/litellm/responses/utils.py b/litellm/responses/utils.py
index 49d850ec6a..679b9e16c6 100644
--- a/litellm/responses/utils.py
+++ b/litellm/responses/utils.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict, cast, get_type_hints
+from typing import Any, Dict, Union, cast, get_type_hints
 
 import litellm
 from litellm.llms.base_llm.responses.transformation import BaseResponsesAPIConfig
@@ -78,16 +78,22 @@ class ResponsesAPIRequestUtils:
 
 class ResponseAPILoggingUtils:
     @staticmethod
-    def _is_response_api_usage(usage: dict) -> bool:
+    def _is_response_api_usage(usage: Union[dict, ResponseAPIUsage]) -> bool:
         """returns True if usage is from OpenAI Response API"""
+        if isinstance(usage, ResponseAPIUsage):
+            return True
         if "input_tokens" in usage and "output_tokens" in usage:
             return True
         return False
 
     @staticmethod
-    def _transform_response_api_usage_to_chat_usage(usage: dict) -> Usage:
+    def _transform_response_api_usage_to_chat_usage(
+        usage: Union[dict, ResponseAPIUsage]
+    ) -> Usage:
         """Tranforms the ResponseAPIUsage object to a Usage object"""
-        response_api_usage: ResponseAPIUsage = ResponseAPIUsage(**usage)
+        response_api_usage: ResponseAPIUsage = (
+            ResponseAPIUsage(**usage) if isinstance(usage, dict) else usage
+        )
         prompt_tokens: int = response_api_usage.input_tokens or 0
         completion_tokens: int = response_api_usage.output_tokens or 0
         return Usage(
diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py
index 08738459f4..fe3f2e1b5f 100644
--- a/litellm/types/llms/bedrock.py
+++ b/litellm/types/llms/bedrock.py
@@ -191,6 +191,10 @@ class ContentBlockDeltaEvent(TypedDict, total=False):
     reasoningContent: BedrockConverseReasoningContentBlockDelta
 
 
+class PerformanceConfigBlock(TypedDict):
+    latency: Literal["optimized", "throughput"]
+
+
 class CommonRequestObject(
     TypedDict, total=False
 ):  # common request object across sync + async flows
@@ -200,6 +204,7 @@ class CommonRequestObject(
     system: List[SystemContentBlock]
     toolConfig: ToolConfigBlock
     guardrailConfig: Optional[GuardrailConfigBlock]
+    performanceConfig: Optional[PerformanceConfigBlock]
 
 
 class RequestObject(CommonRequestObject, total=False):
@@ -429,7 +434,9 @@ class AmazonNovaCanvasColorGuidedGenerationParams(TypedDict, total=False):
     negativeText: str
 
 
-class AmazonNovaCanvasColorGuidedRequest(AmazonNovaCanvasRequestBase, TypedDict, total=False):
+class AmazonNovaCanvasColorGuidedRequest(
+    AmazonNovaCanvasRequestBase, TypedDict, total=False
+):
     """
     Request for Amazon Nova Canvas Color Guided Generation API
 
diff --git a/litellm/types/llms/vertex_ai.py b/litellm/types/llms/vertex_ai.py
index ed6bcdb346..fef034ce80 100644
--- a/litellm/types/llms/vertex_ai.py
+++ b/litellm/types/llms/vertex_ai.py
@@ -369,9 +369,15 @@ class ResponseTuningJob(TypedDict):
     updateTime: Optional[str]
 
 
+class VideoSegmentConfig(TypedDict, total=False):
+    startOffsetSec: int
+    endOffsetSec: int
+    intervalSec: int
+
+
 class InstanceVideo(TypedDict, total=False):
     gcsUri: str
-    videoSegmentConfig: Tuple[float, float, float]
+    videoSegmentConfig: VideoSegmentConfig
 
 
 class InstanceImage(TypedDict, total=False):
@@ -386,7 +392,7 @@ class Instance(TypedDict, total=False):
     video: InstanceVideo
 
 
-class VertexMultimodalEmbeddingRequest(TypedDict, total=False):
+class VertexMultimodalEmbeddingRequest(TypedDict):
     instances: List[Instance]
 
 
@@ -402,7 +408,7 @@ class MultimodalPrediction(TypedDict, total=False):
     videoEmbeddings: List[VideoEmbedding]
 
 
-class MultimodalPredictions(TypedDict, total=False):
+class MultimodalPredictions(TypedDict):
     predictions: List[MultimodalPrediction]
 
 
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 2cc06eecbf..fe6330f8bd 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -779,6 +779,24 @@ class PromptTokensDetailsWrapper(
     image_tokens: Optional[int] = None
     """Image tokens sent to the model."""
 
+    character_count: Optional[int] = None
+    """Character count sent to the model. Used for Vertex AI multimodal embeddings."""
+
+    image_count: Optional[int] = None
+    """Number of images sent to the model. Used for Vertex AI multimodal embeddings."""
+
+    video_length_seconds: Optional[float] = None
+    """Length of videos sent to the model. Used for Vertex AI multimodal embeddings."""
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        if self.character_count is None:
+            del self.character_count
+        if self.image_count is None:
+            del self.image_count
+        if self.video_length_seconds is None:
+            del self.video_length_seconds
+
 
 class Usage(CompletionUsage):
     _cache_creation_input_tokens: int = PrivateAttr(
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index da780f8353..4ce592d7b0 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -5409,6 +5409,23 @@
         "supported_modalities": ["text", "image", "video"],
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
     },
+    "multimodalembedding@001": {
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
+        "output_vector_size": 768,
+        "input_cost_per_character": 0.0000002,
+        "input_cost_per_image": 0.0001,
+        "input_cost_per_video_per_second": 0.0005,
+        "input_cost_per_video_per_second_above_8s_interval": 0.0010,
+        "input_cost_per_video_per_second_above_15s_interval": 0.0020,
+        "input_cost_per_token": 0.0000008,
+        "output_cost_per_token": 0,
+        "litellm_provider": "vertex_ai-embedding-models",
+        "mode": "embedding",
+        "supported_endpoints": ["/v1/embeddings"],
+        "supported_modalities": ["text", "image", "video"],
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
+    },
     "text-embedding-large-exp-03-07": {
         "max_tokens": 8192,
         "max_input_tokens": 8192,
diff --git a/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py b/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
deleted file mode 100644
index cfd1167836..0000000000
--- a/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_embedding_handler.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import json
-import os
-import sys
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import httpx
-import pytest
-
-sys.path.insert(
-    0, os.path.abspath("../../../../..")
-)  # Adds the parent directory to the system path
-
-from litellm.llms.vertex_ai.multimodal_embeddings.embedding_handler import (
-    VertexMultimodalEmbedding,
-)
-from litellm.types.llms.vertex_ai import Instance, InstanceImage
-
-
-class TestVertexMultimodalEmbedding:
-    def setup_method(self):
-        self.embedding_handler = VertexMultimodalEmbedding()
-
-    def test_process_openai_embedding_input(self):
-        input_data = [
-            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
-            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
-        ]
-        expected_output = [
-            Instance(
-                image=InstanceImage(bytesBase64Encoded=input_data[0].split(",")[1])
-            ),
-            Instance(
-                image=InstanceImage(bytesBase64Encoded=input_data[1].split(",")[1])
-            ),
-        ]
-        assert (
-            self.embedding_handler._process_input_element(input_data[0])
-            == expected_output[0]
-        )
-        assert (
-            self.embedding_handler._process_input_element(input_data[1])
-            == expected_output[1]
-        )
diff --git a/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_vertex_ai_multimodal_embedding_transformation.py b/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_vertex_ai_multimodal_embedding_transformation.py
new file mode 100644
index 0000000000..88a60cb7c0
--- /dev/null
+++ b/tests/litellm/llms/vertex_ai/multimodal_embeddings/test_vertex_ai_multimodal_embedding_transformation.py
@@ -0,0 +1,78 @@
+import json
+import os
+import sys
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import httpx
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../../../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.vertex_ai.multimodal_embeddings.transformation import (
+    VertexAIMultimodalEmbeddingConfig,
+)
+from litellm.types.llms.vertex_ai import Instance, InstanceImage, InstanceVideo
+
+
+class TestVertexMultimodalEmbedding:
+    def setup_method(self):
+        self.config = VertexAIMultimodalEmbeddingConfig()
+
+    def test_process_openai_embedding_input(self):
+        input_data = [
+            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
+            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=",
+        ]
+        expected_output = [
+            Instance(
+                image=InstanceImage(bytesBase64Encoded=input_data[0].split(",")[1])
+            ),
+            Instance(
+                image=InstanceImage(bytesBase64Encoded=input_data[1].split(",")[1])
+            ),
+        ]
+        assert self.config._process_input_element(input_data[0]) == expected_output[0]
+        assert self.config._process_input_element(input_data[1]) == expected_output[1]
+
+    def test_process_str_and_video_input(self):
+        input_data = ["hi", "gs://my-bucket/embeddings/supermarket-video.mp4"]
+        expected_output = [
+            Instance(
+                text="hi",
+                video=InstanceVideo(
+                    gcsUri="gs://my-bucket/embeddings/supermarket-video.mp4"
+                ),
+            ),
+        ]
+        assert self.config.process_openai_embedding_input(input_data) == expected_output
+
+    def test_process_list_of_str_and_str_input(self):
+        input_data = ["hi", "hello"]
+        expected_output = [
+            Instance(text="hi"),
+            Instance(text="hello"),
+        ]
+        assert self.config.process_openai_embedding_input(input_data) == expected_output
+
+    def test_process_list_of_str_and_video_input(self):
+        input_data = [
+            "hi",
+            "hello",
+            "gs://my-bucket/embeddings/supermarket-video.mp4",
+            "hey",
+        ]
+        expected_output = [
+            Instance(text="hi"),
+            Instance(
+                text="hello",
+                video=InstanceVideo(
+                    gcsUri="gs://my-bucket/embeddings/supermarket-video.mp4"
+                ),
+            ),
+            Instance(text="hey"),
+        ]
+        assert (
+            self.config.process_openai_embedding_input(input_data) == expected_output
+        ), f"Expected {expected_output}, but got {self.config.process_openai_embedding_input(input_data)}"
diff --git a/tests/litellm/test_main.py b/tests/litellm/test_main.py
index 99ac8514f6..57161e7dd7 100644
--- a/tests/litellm/test_main.py
+++ b/tests/litellm/test_main.py
@@ -239,3 +239,23 @@ async def test_url_with_format_param_openai(model, sync_mode):
         json_str = json.dumps(mock_client.call_args.kwargs)
 
         assert "format" not in json_str
+
+
+def test_bedrock_latency_optimized_inference():
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    client = HTTPHandler()
+    with patch.object(client, "post") as mock_post:
+        try:
+            response = litellm.completion(
+                model="bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0",
+                messages=[{"role": "user", "content": "Hello, how are you?"}],
+                performanceConfig={"latency": "optimized"},
+                client=client,
+            )
+        except Exception as e:
+            print(e)
+
+        mock_post.assert_called_once()
+        json_data = json.loads(mock_post.call_args.kwargs["data"])
+        assert json_data["performanceConfig"]["latency"] == "optimized"
diff --git a/tests/llm_translation/test_openai.py b/tests/llm_translation/test_openai.py
index 676019b86f..f28ec5efb6 100644
--- a/tests/llm_translation/test_openai.py
+++ b/tests/llm_translation/test_openai.py
@@ -416,6 +416,7 @@ def validate_web_search_annotations(annotations: ChatCompletionAnnotation):
         validate_response_url_citation(url_citation)
 
 
+@pytest.mark.flaky(reruns=3)
 def test_openai_web_search():
     """Makes a simple web search request and validates the response contains web search annotations and all expected fields are present"""
     litellm._turn_on_debug()
diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 83c99d766b..36887a84da 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -2197,6 +2197,55 @@ def test_vertexai_embedding_embedding_latest():
         pytest.fail(f"Error occurred: {e}")
 
 
+def test_vertexai_multimodalembedding_embedding_latest():
+    try:
+        import requests, base64
+
+        load_vertex_ai_credentials()
+        litellm._turn_on_debug()
+
+        response = embedding(
+            model="vertex_ai/multimodalembedding@001",
+            input=["hi"],
+            dimensions=1,
+            auto_truncate=True,
+            task_type="RETRIEVAL_QUERY",
+        )
+
+        print(f"response.usage: {response.usage}")
+        assert response.usage is not None
+        assert response.usage.prompt_tokens_details is not None
+
+        assert response._hidden_params["response_cost"] > 0
+        print(f"response:", response)
+    except litellm.RateLimitError as e:
+        pass
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")
+
+
+def test_vertexai_embedding_embedding_latest():
+    try:
+        load_vertex_ai_credentials()
+        litellm.set_verbose = True
+
+        response = embedding(
+            model="vertex_ai/text-embedding-004",
+            input=["hi"],
+            dimensions=1,
+            auto_truncate=True,
+            task_type="RETRIEVAL_QUERY",
+        )
+
+        assert len(response.data[0]["embedding"]) == 1
+        assert response.usage.prompt_tokens > 0
+        print(f"response:", response)
+    except litellm.RateLimitError as e:
+        pass
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")
+
+
 @pytest.mark.skip(reason="need to get gecko permissions on vertex ai to run this test")
 @pytest.mark.flaky(retries=3, delay=1)
 def test_vertexai_embedding_embedding_latest_input_type():

From cac60d50914631ab47d2b3539be828e369adefb2 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 00:31:06 -0700
Subject: [PATCH 186/244] docs(bedrock.md): add latency optimized inference to
 docs

---
 docs/my-website/docs/providers/bedrock.md | 50 +++++++++++++++++++++++
 1 file changed, 50 insertions(+)

diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index ed65e14b8b..922cca9723 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -664,6 +664,56 @@ curl http://0.0.0.0:4000/v1/chat/completions \
 </TabItem>
 </Tabs>
 
+## Usage - Latency Optimized Inference
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import completion
+
+response = completion(
+    model="bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0",
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    performanceConfig={"latency": "optimized"},
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+model_list:
+  - model_name: bedrock-claude-3-7
+    litellm_params:
+      model: bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0
+      performanceConfig: {"latency": "optimized"} # 👈 EITHER HERE OR ON REQUEST
+```
+
+2. Start proxy 
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+3. Test it!
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $LITELLM_KEY" \
+  -d '{
+    "model": "bedrock-claude-3-7",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "performanceConfig": {"latency": "optimized"} # 👈 EITHER HERE OR ON CONFIG.YAML
+  }'
+```
+
+</TabItem>
+</Tabs>
+
 ## Usage - Bedrock Guardrails
 
 Example of using [Bedrock Guardrails with LiteLLM](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-use-converse-api.html)

From 2fcfabd66f72850305765076d6f0348ee1188c2f Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 00:31:35 -0700
Subject: [PATCH 187/244] docs(bedrock.md): clarify version on docs

---
 docs/my-website/docs/providers/bedrock.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index 922cca9723..95e0c90bd7 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -666,6 +666,8 @@ curl http://0.0.0.0:4000/v1/chat/completions \
 
 ## Usage - Latency Optimized Inference
 
+Valid from v1.65.1+
+
 <Tabs>
 <TabItem value="sdk" label="SDK">
 

From 2a0c7e7d20451fd20cb381582c6ff7c6baf0b42d Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 00:39:18 -0700
Subject: [PATCH 188/244] =?UTF-8?q?bump:=20version=201.65.0=20=E2=86=92=20?=
 =?UTF-8?q?1.65.1?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 325bf8b4e7..2dbfcc39de 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.65.0"
+version = "1.65.1"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -110,7 +110,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.65.0"
+version = "1.65.1"
 version_files = [
     "pyproject.toml:^version"
 ]

From 217e8d7d448212d69612586ccfc822b805edec4a Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 08:23:18 -0700
Subject: [PATCH 189/244] test: make script to run clearer

---
 tests/proxy_unit_tests/test_db_schema_migration.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
index 47125e86a7..089c50ebf8 100644
--- a/tests/proxy_unit_tests/test_db_schema_migration.py
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -39,7 +39,9 @@ def test_aaaasschema_migration_check(schema_setup, monkeypatch):
 
         if not temp_migrations_dir.exists() or not any(temp_migrations_dir.iterdir()):
             print("No existing migrations found - first migration needed")
-            pytest.fail("No existing migrations found - first migration needed")
+            pytest.fail(
+                "No existing migrations found - first migration needed. Run `litellm/ci_cd/baseline_db.py` to create new migration -E.g. `python litellm/ci_cd/baseline_db_migration.py`."
+            )
 
         # Apply all existing migrations
         subprocess.run(
@@ -72,7 +74,7 @@ def test_aaaasschema_migration_check(schema_setup, monkeypatch):
             print("Schema differences:")
             print(diff_result.stdout)
             pytest.fail(
-                "Schema changes detected - new migration required. Run 'prisma migrate dev' to create new migration."
+                "Schema changes detected - new migration required. Run `litellm/ci_cd/run_migration.py` to create new migration -E.g. `python litellm/ci_cd/run_migration.py <migration_name>`."
             )
         else:
             print("No schema changes detected. Migration not needed.")

From 95e5dfae5a8de43e8004f9e94f3cbff6dd38fbf3 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 08:48:48 -0700
Subject: [PATCH 190/244] build(ci_cd/): add migration script

---
 .../migration.sql                             |  14 +
 .../migration.sql                             | 407 ------------------
 2 files changed, 14 insertions(+), 407 deletions(-)
 create mode 100644 deploy/migrations/20250329084805_new_cron_job_table/migration.sql
 delete mode 100644 migrations/20250329044652_add_cron_job_table/migration.sql

diff --git a/deploy/migrations/20250329084805_new_cron_job_table/migration.sql b/deploy/migrations/20250329084805_new_cron_job_table/migration.sql
new file mode 100644
index 0000000000..e7ea2e9015
--- /dev/null
+++ b/deploy/migrations/20250329084805_new_cron_job_table/migration.sql
@@ -0,0 +1,14 @@
+-- CreateEnum
+CREATE TYPE "JobStatus" AS ENUM ('ACTIVE', 'INACTIVE');
+
+-- CreateTable
+CREATE TABLE "LiteLLM_CronJob" (
+    "cronjob_id" TEXT NOT NULL,
+    "pod_id" TEXT NOT NULL,
+    "status" "JobStatus" NOT NULL DEFAULT 'INACTIVE',
+    "last_updated" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "ttl" TIMESTAMP(3) NOT NULL,
+
+    CONSTRAINT "LiteLLM_CronJob_pkey" PRIMARY KEY ("cronjob_id")
+);
+
diff --git a/migrations/20250329044652_add_cron_job_table/migration.sql b/migrations/20250329044652_add_cron_job_table/migration.sql
deleted file mode 100644
index edfa99abd5..0000000000
--- a/migrations/20250329044652_add_cron_job_table/migration.sql
+++ /dev/null
@@ -1,407 +0,0 @@
--- CreateEnum
-CREATE TYPE "JobStatus" AS ENUM ('ACTIVE', 'INACTIVE');
-
--- CreateTable
-CREATE TABLE "LiteLLM_BudgetTable" (
-    "budget_id" TEXT NOT NULL,
-    "max_budget" DOUBLE PRECISION,
-    "soft_budget" DOUBLE PRECISION,
-    "max_parallel_requests" INTEGER,
-    "tpm_limit" BIGINT,
-    "rpm_limit" BIGINT,
-    "model_max_budget" JSONB,
-    "budget_duration" TEXT,
-    "budget_reset_at" TIMESTAMP(3),
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_BudgetTable_pkey" PRIMARY KEY ("budget_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_CredentialsTable" (
-    "credential_id" TEXT NOT NULL,
-    "credential_name" TEXT NOT NULL,
-    "credential_values" JSONB NOT NULL,
-    "credential_info" JSONB,
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_CredentialsTable_pkey" PRIMARY KEY ("credential_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_ProxyModelTable" (
-    "model_id" TEXT NOT NULL,
-    "model_name" TEXT NOT NULL,
-    "litellm_params" JSONB NOT NULL,
-    "model_info" JSONB,
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_ProxyModelTable_pkey" PRIMARY KEY ("model_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_OrganizationTable" (
-    "organization_id" TEXT NOT NULL,
-    "organization_alias" TEXT NOT NULL,
-    "budget_id" TEXT NOT NULL,
-    "metadata" JSONB NOT NULL DEFAULT '{}',
-    "models" TEXT[],
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "model_spend" JSONB NOT NULL DEFAULT '{}',
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_OrganizationTable_pkey" PRIMARY KEY ("organization_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_ModelTable" (
-    "id" SERIAL NOT NULL,
-    "aliases" JSONB,
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_ModelTable_pkey" PRIMARY KEY ("id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_TeamTable" (
-    "team_id" TEXT NOT NULL,
-    "team_alias" TEXT,
-    "organization_id" TEXT,
-    "admins" TEXT[],
-    "members" TEXT[],
-    "members_with_roles" JSONB NOT NULL DEFAULT '{}',
-    "metadata" JSONB NOT NULL DEFAULT '{}',
-    "max_budget" DOUBLE PRECISION,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "models" TEXT[],
-    "max_parallel_requests" INTEGER,
-    "tpm_limit" BIGINT,
-    "rpm_limit" BIGINT,
-    "budget_duration" TEXT,
-    "budget_reset_at" TIMESTAMP(3),
-    "blocked" BOOLEAN NOT NULL DEFAULT false,
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "model_spend" JSONB NOT NULL DEFAULT '{}',
-    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
-    "model_id" INTEGER,
-
-    CONSTRAINT "LiteLLM_TeamTable_pkey" PRIMARY KEY ("team_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_UserTable" (
-    "user_id" TEXT NOT NULL,
-    "user_alias" TEXT,
-    "team_id" TEXT,
-    "sso_user_id" TEXT,
-    "organization_id" TEXT,
-    "password" TEXT,
-    "teams" TEXT[] DEFAULT ARRAY[]::TEXT[],
-    "user_role" TEXT,
-    "max_budget" DOUBLE PRECISION,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "user_email" TEXT,
-    "models" TEXT[],
-    "metadata" JSONB NOT NULL DEFAULT '{}',
-    "max_parallel_requests" INTEGER,
-    "tpm_limit" BIGINT,
-    "rpm_limit" BIGINT,
-    "budget_duration" TEXT,
-    "budget_reset_at" TIMESTAMP(3),
-    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
-    "model_spend" JSONB NOT NULL DEFAULT '{}',
-    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
-    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-
-    CONSTRAINT "LiteLLM_UserTable_pkey" PRIMARY KEY ("user_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_VerificationToken" (
-    "token" TEXT NOT NULL,
-    "key_name" TEXT,
-    "key_alias" TEXT,
-    "soft_budget_cooldown" BOOLEAN NOT NULL DEFAULT false,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "expires" TIMESTAMP(3),
-    "models" TEXT[],
-    "aliases" JSONB NOT NULL DEFAULT '{}',
-    "config" JSONB NOT NULL DEFAULT '{}',
-    "user_id" TEXT,
-    "team_id" TEXT,
-    "permissions" JSONB NOT NULL DEFAULT '{}',
-    "max_parallel_requests" INTEGER,
-    "metadata" JSONB NOT NULL DEFAULT '{}',
-    "blocked" BOOLEAN,
-    "tpm_limit" BIGINT,
-    "rpm_limit" BIGINT,
-    "max_budget" DOUBLE PRECISION,
-    "budget_duration" TEXT,
-    "budget_reset_at" TIMESTAMP(3),
-    "allowed_cache_controls" TEXT[] DEFAULT ARRAY[]::TEXT[],
-    "model_spend" JSONB NOT NULL DEFAULT '{}',
-    "model_max_budget" JSONB NOT NULL DEFAULT '{}',
-    "budget_id" TEXT,
-    "organization_id" TEXT,
-    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-    "created_by" TEXT,
-    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-    "updated_by" TEXT,
-
-    CONSTRAINT "LiteLLM_VerificationToken_pkey" PRIMARY KEY ("token")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_EndUserTable" (
-    "user_id" TEXT NOT NULL,
-    "alias" TEXT,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "allowed_model_region" TEXT,
-    "default_model" TEXT,
-    "budget_id" TEXT,
-    "blocked" BOOLEAN NOT NULL DEFAULT false,
-
-    CONSTRAINT "LiteLLM_EndUserTable_pkey" PRIMARY KEY ("user_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_Config" (
-    "param_name" TEXT NOT NULL,
-    "param_value" JSONB,
-
-    CONSTRAINT "LiteLLM_Config_pkey" PRIMARY KEY ("param_name")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_SpendLogs" (
-    "request_id" TEXT NOT NULL,
-    "call_type" TEXT NOT NULL,
-    "api_key" TEXT NOT NULL DEFAULT '',
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "total_tokens" INTEGER NOT NULL DEFAULT 0,
-    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
-    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
-    "startTime" TIMESTAMP(3) NOT NULL,
-    "endTime" TIMESTAMP(3) NOT NULL,
-    "completionStartTime" TIMESTAMP(3),
-    "model" TEXT NOT NULL DEFAULT '',
-    "model_id" TEXT DEFAULT '',
-    "model_group" TEXT DEFAULT '',
-    "custom_llm_provider" TEXT DEFAULT '',
-    "api_base" TEXT DEFAULT '',
-    "user" TEXT DEFAULT '',
-    "metadata" JSONB DEFAULT '{}',
-    "cache_hit" TEXT DEFAULT '',
-    "cache_key" TEXT DEFAULT '',
-    "request_tags" JSONB DEFAULT '[]',
-    "team_id" TEXT,
-    "end_user" TEXT,
-    "requester_ip_address" TEXT,
-    "messages" JSONB DEFAULT '{}',
-    "response" JSONB DEFAULT '{}',
-
-    CONSTRAINT "LiteLLM_SpendLogs_pkey" PRIMARY KEY ("request_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_ErrorLogs" (
-    "request_id" TEXT NOT NULL,
-    "startTime" TIMESTAMP(3) NOT NULL,
-    "endTime" TIMESTAMP(3) NOT NULL,
-    "api_base" TEXT NOT NULL DEFAULT '',
-    "model_group" TEXT NOT NULL DEFAULT '',
-    "litellm_model_name" TEXT NOT NULL DEFAULT '',
-    "model_id" TEXT NOT NULL DEFAULT '',
-    "request_kwargs" JSONB NOT NULL DEFAULT '{}',
-    "exception_type" TEXT NOT NULL DEFAULT '',
-    "exception_string" TEXT NOT NULL DEFAULT '',
-    "status_code" TEXT NOT NULL DEFAULT '',
-
-    CONSTRAINT "LiteLLM_ErrorLogs_pkey" PRIMARY KEY ("request_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_UserNotifications" (
-    "request_id" TEXT NOT NULL,
-    "user_id" TEXT NOT NULL,
-    "models" TEXT[],
-    "justification" TEXT NOT NULL,
-    "status" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_UserNotifications_pkey" PRIMARY KEY ("request_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_TeamMembership" (
-    "user_id" TEXT NOT NULL,
-    "team_id" TEXT NOT NULL,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "budget_id" TEXT,
-
-    CONSTRAINT "LiteLLM_TeamMembership_pkey" PRIMARY KEY ("user_id","team_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_OrganizationMembership" (
-    "user_id" TEXT NOT NULL,
-    "organization_id" TEXT NOT NULL,
-    "user_role" TEXT,
-    "spend" DOUBLE PRECISION DEFAULT 0.0,
-    "budget_id" TEXT,
-    "created_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-    "updated_at" TIMESTAMP(3) DEFAULT CURRENT_TIMESTAMP,
-
-    CONSTRAINT "LiteLLM_OrganizationMembership_pkey" PRIMARY KEY ("user_id","organization_id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_InvitationLink" (
-    "id" TEXT NOT NULL,
-    "user_id" TEXT NOT NULL,
-    "is_accepted" BOOLEAN NOT NULL DEFAULT false,
-    "accepted_at" TIMESTAMP(3),
-    "expires_at" TIMESTAMP(3) NOT NULL,
-    "created_at" TIMESTAMP(3) NOT NULL,
-    "created_by" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL,
-    "updated_by" TEXT NOT NULL,
-
-    CONSTRAINT "LiteLLM_InvitationLink_pkey" PRIMARY KEY ("id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_AuditLog" (
-    "id" TEXT NOT NULL,
-    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "changed_by" TEXT NOT NULL DEFAULT '',
-    "changed_by_api_key" TEXT NOT NULL DEFAULT '',
-    "action" TEXT NOT NULL,
-    "table_name" TEXT NOT NULL,
-    "object_id" TEXT NOT NULL,
-    "before_value" JSONB,
-    "updated_values" JSONB,
-
-    CONSTRAINT "LiteLLM_AuditLog_pkey" PRIMARY KEY ("id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_DailyUserSpend" (
-    "id" TEXT NOT NULL,
-    "user_id" TEXT NOT NULL,
-    "date" TEXT NOT NULL,
-    "api_key" TEXT NOT NULL,
-    "model" TEXT NOT NULL,
-    "model_group" TEXT,
-    "custom_llm_provider" TEXT,
-    "prompt_tokens" INTEGER NOT NULL DEFAULT 0,
-    "completion_tokens" INTEGER NOT NULL DEFAULT 0,
-    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
-    "api_requests" INTEGER NOT NULL DEFAULT 0,
-    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updated_at" TIMESTAMP(3) NOT NULL,
-
-    CONSTRAINT "LiteLLM_DailyUserSpend_pkey" PRIMARY KEY ("id")
-);
-
--- CreateTable
-CREATE TABLE "LiteLLM_CronJob" (
-    "cronjob_id" TEXT NOT NULL,
-    "pod_id" TEXT NOT NULL,
-    "status" "JobStatus" NOT NULL DEFAULT 'INACTIVE',
-    "last_updated" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "ttl" TIMESTAMP(3) NOT NULL,
-
-    CONSTRAINT "LiteLLM_CronJob_pkey" PRIMARY KEY ("cronjob_id")
-);
-
--- CreateIndex
-CREATE UNIQUE INDEX "LiteLLM_CredentialsTable_credential_name_key" ON "LiteLLM_CredentialsTable"("credential_name");
-
--- CreateIndex
-CREATE UNIQUE INDEX "LiteLLM_TeamTable_model_id_key" ON "LiteLLM_TeamTable"("model_id");
-
--- CreateIndex
-CREATE UNIQUE INDEX "LiteLLM_UserTable_sso_user_id_key" ON "LiteLLM_UserTable"("sso_user_id");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_SpendLogs_startTime_idx" ON "LiteLLM_SpendLogs"("startTime");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_SpendLogs_end_user_idx" ON "LiteLLM_SpendLogs"("end_user");
-
--- CreateIndex
-CREATE UNIQUE INDEX "LiteLLM_OrganizationMembership_user_id_organization_id_key" ON "LiteLLM_OrganizationMembership"("user_id", "organization_id");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_DailyUserSpend_date_idx" ON "LiteLLM_DailyUserSpend"("date");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_DailyUserSpend_user_id_idx" ON "LiteLLM_DailyUserSpend"("user_id");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_DailyUserSpend_api_key_idx" ON "LiteLLM_DailyUserSpend"("api_key");
-
--- CreateIndex
-CREATE INDEX "LiteLLM_DailyUserSpend_model_idx" ON "LiteLLM_DailyUserSpend"("model");
-
--- CreateIndex
-CREATE UNIQUE INDEX "LiteLLM_DailyUserSpend_user_id_date_api_key_model_custom_ll_key" ON "LiteLLM_DailyUserSpend"("user_id", "date", "api_key", "model", "custom_llm_provider");
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_OrganizationTable" ADD CONSTRAINT "LiteLLM_OrganizationTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_TeamTable" ADD CONSTRAINT "LiteLLM_TeamTable_model_id_fkey" FOREIGN KEY ("model_id") REFERENCES "LiteLLM_ModelTable"("id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_UserTable" ADD CONSTRAINT "LiteLLM_UserTable_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_VerificationToken" ADD CONSTRAINT "LiteLLM_VerificationToken_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_EndUserTable" ADD CONSTRAINT "LiteLLM_EndUserTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_TeamMembership" ADD CONSTRAINT "LiteLLM_TeamMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_organization_id_fkey" FOREIGN KEY ("organization_id") REFERENCES "LiteLLM_OrganizationTable"("organization_id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_OrganizationMembership" ADD CONSTRAINT "LiteLLM_OrganizationMembership_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_user_id_fkey" FOREIGN KEY ("user_id") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_created_by_fkey" FOREIGN KEY ("created_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "LiteLLM_InvitationLink" ADD CONSTRAINT "LiteLLM_InvitationLink_updated_by_fkey" FOREIGN KEY ("updated_by") REFERENCES "LiteLLM_UserTable"("user_id") ON DELETE RESTRICT ON UPDATE CASCADE;

From 9b7ebb6a7d110ffb802698a4a35678967bde2024 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 11:02:13 -0700
Subject: [PATCH 191/244] build(pyproject.toml): add new dev dependencies - for
 type checking (#9631)

* build(pyproject.toml): add new dev dependencies - for type checking

* build: reformat files to fit black

* ci: reformat to fit black

* ci(test-litellm.yml): make tests run clear

* build(pyproject.toml): add ruff

* fix: fix ruff checks

* build(mypy/): fix mypy linting errors

* fix(hashicorp_secret_manager.py): fix passing cert for tls auth

* build(mypy/): resolve all mypy errors

* test: update test

* fix: fix black formatting

* build(pre-commit-config.yaml): use poetry run black

* fix(proxy_server.py): fix linting error

* fix: fix ruff safe representation error
---
 .github/workflows/test-linting.yml            |  53 +++
 .github/workflows/test-litellm.yml            |   2 +-
 .pre-commit-config.yaml                       |  10 +-
 .../enterprise_hooks/secret_detection.py      |   4 -
 litellm/__init__.py                           |  98 +++---
 litellm/_service_logger.py                    |   2 +-
 litellm/batches/main.py                       |   2 -
 litellm/caching/base_cache.py                 |   4 +-
 litellm/caching/caching_handler.py            |  11 +-
 litellm/caching/disk_cache.py                 |   4 +-
 litellm/caching/dual_cache.py                 |   4 +-
 litellm/caching/llm_caching_handler.py        |   1 -
 litellm/caching/redis_cache.py                |   3 +-
 litellm/caching/redis_cluster_cache.py        |   4 +-
 litellm/caching/redis_semantic_cache.py       | 127 +++----
 litellm/caching/s3_cache.py                   |   2 +-
 litellm/cost_calculator.py                    |   1 -
 litellm/fine_tuning/main.py                   |   3 -
 .../SlackAlerting/batching_handler.py         |   1 -
 .../SlackAlerting/slack_alerting.py           |  28 +-
 litellm/integrations/_types/open_inference.py |   2 +-
 litellm/integrations/argilla.py               |   1 -
 litellm/integrations/arize/_utils.py          |   4 +-
 litellm/integrations/arize/arize.py           |   3 +-
 litellm/integrations/arize/arize_phoenix.py   |  27 +-
 litellm/integrations/athina.py                |   5 +-
 .../azure_storage/azure_storage.py            |  13 +-
 litellm/integrations/braintrust_logging.py    | 103 ++++--
 litellm/integrations/custom_batch_logger.py   |   1 -
 litellm/integrations/custom_guardrail.py      |   1 -
 litellm/integrations/custom_logger.py         |   2 +-
 litellm/integrations/datadog/datadog.py       |   1 -
 .../gcs_bucket/gcs_bucket_base.py             |   6 +-
 litellm/integrations/gcs_pubsub/pub_sub.py    |  13 +-
 litellm/integrations/humanloop.py             |   6 +-
 litellm/integrations/langfuse/langfuse.py     |   6 +-
 .../integrations/langfuse/langfuse_handler.py |   5 +-
 .../langfuse/langfuse_prompt_management.py    |   6 +-
 litellm/integrations/langsmith.py             |   8 +-
 litellm/integrations/langtrace.py             |   4 +-
 litellm/integrations/lunary.py                |   2 -
 litellm/integrations/mlflow.py                |   9 +-
 litellm/integrations/opentelemetry.py         |  28 +-
 litellm/integrations/opik/opik.py             |   1 -
 litellm/integrations/prometheus.py            |   6 +-
 .../integrations/prompt_management_base.py    |   7 +-
 litellm/integrations/s3.py                    |   2 +-
 litellm/integrations/weights_biases.py        |   8 +-
 litellm/litellm_core_utils/core_helpers.py    |   2 +-
 .../litellm_core_utils/default_encoding.py    |   4 +-
 litellm/litellm_core_utils/litellm_logging.py | 317 +++++++++---------
 .../convert_dict_to_response.py               |   8 +-
 .../litellm_core_utils/model_param_helper.py  |   1 -
 .../prompt_templates/common_utils.py          |   1 -
 .../prompt_templates/factory.py               |  26 +-
 .../litellm_core_utils/realtime_streaming.py  |   1 -
 litellm/litellm_core_utils/redact_messages.py |   6 +-
 .../sensitive_data_masker.py                  |   6 +-
 .../streaming_chunk_builder_utils.py          |   1 -
 .../litellm_core_utils/streaming_handler.py   |  20 +-
 litellm/llms/anthropic/chat/handler.py        |  16 +-
 litellm/llms/anthropic/chat/transformation.py |  46 +--
 .../anthropic/completion/transformation.py    |   6 +-
 .../messages/handler.py                       |  28 +-
 litellm/llms/azure/azure.py                   |   6 -
 litellm/llms/azure/batches/handler.py         |  72 ++--
 litellm/llms/azure/common_utils.py            |   1 -
 litellm/llms/azure/files/handler.py           |  91 +++--
 litellm/llms/azure/fine_tuning/handler.py     |   9 +-
 litellm/llms/azure_ai/chat/transformation.py  |   1 -
 .../azure_ai/embed/cohere_transformation.py   |   1 -
 litellm/llms/azure_ai/embed/handler.py        |   2 -
 .../llms/azure_ai/rerank/transformation.py    |   1 +
 litellm/llms/base.py                          |   1 -
 litellm/llms/base_llm/chat/transformation.py  |   1 -
 .../llms/base_llm/responses/transformation.py |   1 -
 litellm/llms/bedrock/chat/converse_handler.py |  10 +-
 .../bedrock/chat/converse_transformation.py   |  20 +-
 litellm/llms/bedrock/chat/invoke_handler.py   |  14 +-
 .../base_invoke_transformation.py             |   7 +-
 litellm/llms/bedrock/common_utils.py          |   1 -
 .../amazon_titan_multimodal_transformation.py |   7 +-
 .../amazon_nova_canvas_transformation.py      |  93 +++--
 litellm/llms/bedrock/image/image_handler.py   |  13 +-
 litellm/llms/bedrock/rerank/handler.py        |   1 -
 litellm/llms/bedrock/rerank/transformation.py |   1 -
 litellm/llms/codestral/completion/handler.py  |   3 -
 .../codestral/completion/transformation.py    |   1 -
 litellm/llms/cohere/chat/transformation.py    |   2 -
 litellm/llms/cohere/embed/handler.py          |   1 -
 litellm/llms/cohere/embed/transformation.py   |   2 -
 litellm/llms/cohere/rerank/transformation.py  |   2 +-
 .../llms/cohere/rerank_v2/transformation.py   |   3 +-
 litellm/llms/custom_httpx/aiohttp_handler.py  |   2 -
 litellm/llms/custom_httpx/http_handler.py     |   4 -
 litellm/llms/custom_httpx/llm_http_handler.py |   5 -
 litellm/llms/databricks/common_utils.py       |   6 +-
 .../llms/databricks/embed/transformation.py   |   6 +-
 litellm/llms/databricks/streaming_utils.py    |   1 -
 .../audio_transcription/transformation.py     |   6 +-
 litellm/llms/deepseek/chat/transformation.py  |   1 -
 .../llms/deprecated_providers/aleph_alpha.py  |   6 +-
 .../llms/fireworks_ai/chat/transformation.py  |   3 -
 litellm/llms/gemini/chat/transformation.py    |   1 -
 litellm/llms/gemini/common_utils.py           |   1 -
 litellm/llms/groq/chat/transformation.py      |   1 -
 litellm/llms/groq/stt/transformation.py       |   1 -
 .../llms/huggingface/chat/transformation.py   |  24 +-
 litellm/llms/maritalk.py                      |   1 -
 .../llms/ollama/completion/transformation.py  |   6 +-
 .../llms/openai/chat/gpt_transformation.py    |   1 -
 litellm/llms/openai/completion/handler.py     |   1 -
 .../llms/openai/completion/transformation.py  |   6 +-
 litellm/llms/openai/fine_tuning/handler.py    |   9 +-
 litellm/llms/openai/openai.py                 |  25 +-
 .../transcriptions/whisper_transformation.py  |   6 +-
 .../llms/openrouter/chat/transformation.py    |   8 +-
 .../llms/petals/completion/transformation.py  |   6 +-
 litellm/llms/predibase/chat/handler.py        |   1 -
 litellm/llms/predibase/chat/transformation.py |  12 +-
 litellm/llms/replicate/chat/handler.py        |   1 -
 litellm/llms/sagemaker/chat/handler.py        |   2 -
 litellm/llms/sagemaker/common_utils.py        |   2 -
 litellm/llms/sagemaker/completion/handler.py  |  12 +-
 .../sagemaker/completion/transformation.py    |   6 +-
 .../llms/together_ai/rerank/transformation.py |   1 -
 .../topaz/image_variations/transformation.py  |   2 -
 .../llms/triton/completion/transformation.py  |   1 -
 litellm/llms/vertex_ai/batches/handler.py     |   7 +-
 litellm/llms/vertex_ai/common_utils.py        |   4 +-
 litellm/llms/vertex_ai/files/handler.py       |   9 +-
 litellm/llms/vertex_ai/fine_tuning/handler.py |  15 +-
 .../llms/vertex_ai/gemini/transformation.py   |  26 +-
 .../vertex_and_google_ai_studio_gemini.py     |  18 +-
 .../batch_embed_content_handler.py            |   1 -
 .../batch_embed_content_transformation.py     |   1 -
 .../embedding_handler.py                      |   1 -
 .../multimodal_embeddings/transformation.py   |   1 -
 .../llms/vertex_ai/vertex_ai_non_gemini.py    |   2 -
 .../vertex_ai_partner_models/main.py          |   1 -
 .../vertex_embeddings/embedding_handler.py    |  12 +-
 .../vertex_embeddings/transformation.py       |   1 -
 .../vertex_ai/vertex_model_garden/main.py     |   1 -
 litellm/llms/watsonx/chat/transformation.py   |   1 -
 litellm/main.py                               |  56 ++--
 litellm/proxy/_types.py                       |  68 ++--
 litellm/proxy/auth/auth_checks.py             |   7 +-
 .../proxy/auth/auth_checks_organization.py    |  14 +-
 litellm/proxy/auth/auth_exception_handler.py  |   5 +-
 litellm/proxy/auth/auth_utils.py              |   2 -
 litellm/proxy/auth/handle_jwt.py              |  23 +-
 litellm/proxy/auth/litellm_license.py         |   1 -
 litellm/proxy/auth/model_checks.py            |   1 -
 litellm/proxy/auth/route_checks.py            |   3 -
 litellm/proxy/auth/user_api_key_auth.py       |  28 +-
 .../common_utils/encrypt_decrypt_utils.py     |   2 -
 .../proxy/common_utils/http_parsing_utils.py  |   8 +-
 litellm/proxy/db/log_db_metrics.py            |   1 -
 litellm/proxy/db/redis_update_buffer.py       |  22 +-
 litellm/proxy/guardrails/guardrail_helpers.py |   1 -
 .../guardrail_hooks/bedrock_guardrails.py     |   1 -
 .../guardrails/guardrail_hooks/lakera_ai.py   |   6 +-
 .../guardrails/guardrail_hooks/presidio.py    |  10 +-
 litellm/proxy/hooks/dynamic_rate_limiter.py   |  58 ++--
 .../proxy/hooks/key_management_event_hooks.py |   1 -
 .../proxy/hooks/parallel_request_limiter.py   |  34 +-
 .../proxy/hooks/prompt_injection_detection.py |   1 -
 .../proxy/hooks/proxy_track_cost_callback.py  |   8 +-
 litellm/proxy/litellm_pre_call_utils.py       |  16 +-
 .../budget_management_endpoints.py            |   1 -
 .../management_endpoints/common_utils.py      |   1 -
 .../customer_endpoints.py                     |   1 -
 .../internal_user_endpoints.py                |  41 ++-
 .../key_management_endpoints.py               |  41 ++-
 .../model_management_endpoints.py             |   3 -
 .../organization_endpoints.py                 |  43 +--
 .../management_endpoints/team_endpoints.py    |  28 +-
 litellm/proxy/management_endpoints/ui_sso.py  |  12 +-
 litellm/proxy/management_helpers/utils.py     |   3 +-
 .../openai_files_endpoints/files_endpoints.py |   1 -
 .../anthropic_passthrough_logging_handler.py  |   7 +-
 .../vertex_passthrough_logging_handler.py     |   5 +-
 .../pass_through_endpoints.py                 |   3 -
 .../passthrough_endpoint_router.py            |   6 +-
 .../streaming_handler.py                      |   1 -
 litellm/proxy/prisma_migration.py             |  30 +-
 litellm/proxy/proxy_server.py                 |  36 +-
 .../spend_management_endpoints.py             |   6 -
 litellm/proxy/utils.py                        |   9 +-
 .../vertex_ai_endpoints/langfuse_endpoints.py |   8 +-
 litellm/rerank_api/main.py                    |  18 +-
 litellm/responses/main.py                     |  27 +-
 litellm/router.py                             |  94 +++---
 .../router_strategy/base_routing_strategy.py  |   6 +-
 litellm/router_strategy/budget_limiter.py     |  41 +--
 litellm/router_strategy/lowest_latency.py     |   2 +-
 litellm/router_strategy/lowest_tpm_rpm_v2.py  |   3 +-
 litellm/router_utils/cooldown_cache.py        |   4 +-
 litellm/router_utils/cooldown_callbacks.py    |   6 +-
 litellm/router_utils/cooldown_handlers.py     |   2 +-
 litellm/router_utils/handle_error.py          |   4 +-
 .../router_utils/pattern_match_deployments.py |  12 +-
 litellm/router_utils/prompt_caching_cache.py  |   4 +-
 .../secret_managers/aws_secret_manager_v2.py  |   1 -
 .../hashicorp_secret_manager.py               |   6 +-
 litellm/types/integrations/arize_phoenix.py   |   4 +-
 litellm/types/llms/openai.py                  |  36 +-
 litellm/types/rerank.py                       |   7 +-
 litellm/types/router.py                       |  29 +-
 litellm/types/utils.py                        |   3 -
 litellm/utils.py                              |  53 ++-
 poetry.lock                                   | 139 +++++++-
 pyproject.toml                                |   7 +-
 tests/litellm_utils_tests/test_hashicorp.py   |  36 +-
 214 files changed, 1553 insertions(+), 1433 deletions(-)
 create mode 100644 .github/workflows/test-linting.yml

diff --git a/.github/workflows/test-linting.yml b/.github/workflows/test-linting.yml
new file mode 100644
index 0000000000..d117d12de4
--- /dev/null
+++ b/.github/workflows/test-linting.yml
@@ -0,0 +1,53 @@
+name: LiteLLM Linting
+
+on:
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.12'
+
+    - name: Install Poetry
+      uses: snok/install-poetry@v1
+
+    - name: Install dependencies
+      run: |
+        poetry install --with dev
+
+    - name: Run Black formatting check
+      run: |
+        cd litellm
+        poetry run black . --check
+        cd ..
+
+    - name: Run Ruff linting
+      run: |
+        cd litellm
+        poetry run ruff check .
+        cd ..
+
+    - name: Run MyPy type checking
+      run: |
+        cd litellm
+        poetry run mypy . --ignore-missing-imports
+        cd ..
+
+    - name: Check for circular imports
+      run: |
+        cd litellm
+        poetry run python ../tests/documentation_tests/test_circular_imports.py
+        cd ..
+
+    - name: Check import safety
+      run: |
+        poetry run python -c "from litellm import *" || (echo '🚨 import failed, this means you introduced unprotected imports! 🚨'; exit 1)
\ No newline at end of file
diff --git a/.github/workflows/test-litellm.yml b/.github/workflows/test-litellm.yml
index 09de0ff110..12d09725ed 100644
--- a/.github/workflows/test-litellm.yml
+++ b/.github/workflows/test-litellm.yml
@@ -1,4 +1,4 @@
-name: LiteLLM Tests
+name: LiteLLM Mock Tests (folder - tests/litellm)
 
 on:
   pull_request:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fb37f32524..bceedb41aa 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -14,10 +14,12 @@ repos:
         types: [python]
         files: litellm/.*\.py
         exclude: ^litellm/__init__.py$
--   repo: https://github.com/psf/black
-    rev: 24.2.0
-    hooks:
-    - id: black
+    -   id: black
+        name: black
+        entry: poetry run black
+        language: system
+        types: [python]
+        files: litellm/.*\.py
 -   repo: https://github.com/pycqa/flake8
     rev: 7.0.0  # The version of flake8 to use
     hooks:
diff --git a/enterprise/enterprise_hooks/secret_detection.py b/enterprise/enterprise_hooks/secret_detection.py
index 459fd374d1..158f26efa3 100644
--- a/enterprise/enterprise_hooks/secret_detection.py
+++ b/enterprise/enterprise_hooks/secret_detection.py
@@ -444,9 +444,7 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail):
 
         detected_secrets = []
         for file in secrets.files:
-
             for found_secret in secrets[file]:
-
                 if found_secret.secret_value is None:
                     continue
                 detected_secrets.append(
@@ -471,14 +469,12 @@ class _ENTERPRISE_SecretDetection(CustomGuardrail):
         data: dict,
         call_type: str,  # "completion", "embeddings", "image_generation", "moderation"
     ):
-
         if await self.should_run_check(user_api_key_dict) is False:
             return
 
         if "messages" in data and isinstance(data["messages"], list):
             for message in data["messages"]:
                 if "content" in message and isinstance(message["content"], str):
-
                     detected_secrets = self.scan_message_for_secrets(message["content"])
 
                     for secret in detected_secrets:
diff --git a/litellm/__init__.py b/litellm/__init__.py
index a4903f828c..c2e366e2b1 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -122,19 +122,19 @@ langsmith_batch_size: Optional[int] = None
 prometheus_initialize_budget_metrics: Optional[bool] = False
 argilla_batch_size: Optional[int] = None
 datadog_use_v1: Optional[bool] = False  # if you want to use v1 datadog logged payload
-gcs_pub_sub_use_v1: Optional[bool] = (
-    False  # if you want to use v1 gcs pubsub logged payload
-)
+gcs_pub_sub_use_v1: Optional[
+    bool
+] = False  # if you want to use v1 gcs pubsub logged payload
 argilla_transformation_object: Optional[Dict[str, Any]] = None
-_async_input_callback: List[Union[str, Callable, CustomLogger]] = (
-    []
-)  # internal variable - async custom callbacks are routed here.
-_async_success_callback: List[Union[str, Callable, CustomLogger]] = (
-    []
-)  # internal variable - async custom callbacks are routed here.
-_async_failure_callback: List[Union[str, Callable, CustomLogger]] = (
-    []
-)  # internal variable - async custom callbacks are routed here.
+_async_input_callback: List[
+    Union[str, Callable, CustomLogger]
+] = []  # internal variable - async custom callbacks are routed here.
+_async_success_callback: List[
+    Union[str, Callable, CustomLogger]
+] = []  # internal variable - async custom callbacks are routed here.
+_async_failure_callback: List[
+    Union[str, Callable, CustomLogger]
+] = []  # internal variable - async custom callbacks are routed here.
 pre_call_rules: List[Callable] = []
 post_call_rules: List[Callable] = []
 turn_off_message_logging: Optional[bool] = False
@@ -142,18 +142,18 @@ log_raw_request_response: bool = False
 redact_messages_in_exceptions: Optional[bool] = False
 redact_user_api_key_info: Optional[bool] = False
 filter_invalid_headers: Optional[bool] = False
-add_user_information_to_llm_headers: Optional[bool] = (
-    None  # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
-)
+add_user_information_to_llm_headers: Optional[
+    bool
+] = None  # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
 store_audit_logs = False  # Enterprise feature, allow users to see audit logs
 ### end of callbacks #############
 
-email: Optional[str] = (
-    None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-)
-token: Optional[str] = (
-    None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-)
+email: Optional[
+    str
+] = None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+token: Optional[
+    str
+] = None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
 telemetry = True
 max_tokens = 256  # OpenAI Defaults
 drop_params = bool(os.getenv("LITELLM_DROP_PARAMS", False))
@@ -229,24 +229,20 @@ enable_loadbalancing_on_batch_endpoints: Optional[bool] = None
 enable_caching_on_provider_specific_optional_params: bool = (
     False  # feature-flag for caching on optional params - e.g. 'top_k'
 )
-caching: bool = (
-    False  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-)
-caching_with_models: bool = (
-    False  # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-)
-cache: Optional[Cache] = (
-    None  # cache object <- use this - https://docs.litellm.ai/docs/caching
-)
+caching: bool = False  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+caching_with_models: bool = False  # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+cache: Optional[
+    Cache
+] = None  # cache object <- use this - https://docs.litellm.ai/docs/caching
 default_in_memory_ttl: Optional[float] = None
 default_redis_ttl: Optional[float] = None
 default_redis_batch_cache_expiry: Optional[float] = None
 model_alias_map: Dict[str, str] = {}
 model_group_alias_map: Dict[str, str] = {}
 max_budget: float = 0.0  # set the max budget across all providers
-budget_duration: Optional[str] = (
-    None  # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
-)
+budget_duration: Optional[
+    str
+] = None  # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
 default_soft_budget: float = (
     50.0  # by default all litellm proxy keys have a soft budget of 50.0
 )
@@ -255,15 +251,11 @@ forward_traceparent_to_llm_provider: bool = False
 
 _current_cost = 0.0  # private variable, used if max budget is set
 error_logs: Dict = {}
-add_function_to_prompt: bool = (
-    False  # if function calling not supported by api, append function call details to system prompt
-)
+add_function_to_prompt: bool = False  # if function calling not supported by api, append function call details to system prompt
 client_session: Optional[httpx.Client] = None
 aclient_session: Optional[httpx.AsyncClient] = None
 model_fallbacks: Optional[List] = None  # Deprecated for 'litellm.fallbacks'
-model_cost_map_url: str = (
-    "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
-)
+model_cost_map_url: str = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
 suppress_debug_info = False
 dynamodb_table_name: Optional[str] = None
 s3_callback_params: Optional[Dict] = None
@@ -285,9 +277,7 @@ disable_end_user_cost_tracking_prometheus_only: Optional[bool] = None
 custom_prometheus_metadata_labels: List[str] = []
 #### REQUEST PRIORITIZATION ####
 priority_reservation: Optional[Dict[str, float]] = None
-force_ipv4: bool = (
-    False  # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
-)
+force_ipv4: bool = False  # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
 module_level_aclient = AsyncHTTPHandler(
     timeout=request_timeout, client_alias="module level aclient"
 )
@@ -301,13 +291,13 @@ fallbacks: Optional[List] = None
 context_window_fallbacks: Optional[List] = None
 content_policy_fallbacks: Optional[List] = None
 allowed_fails: int = 3
-num_retries_per_request: Optional[int] = (
-    None  # for the request overall (incl. fallbacks + model retries)
-)
+num_retries_per_request: Optional[
+    int
+] = None  # for the request overall (incl. fallbacks + model retries)
 ####### SECRET MANAGERS #####################
-secret_manager_client: Optional[Any] = (
-    None  # list of instantiated key management clients - e.g. azure kv, infisical, etc.
-)
+secret_manager_client: Optional[
+    Any
+] = None  # list of instantiated key management clients - e.g. azure kv, infisical, etc.
 _google_kms_resource_name: Optional[str] = None
 _key_management_system: Optional[KeyManagementSystem] = None
 _key_management_settings: KeyManagementSettings = KeyManagementSettings()
@@ -1056,10 +1046,10 @@ from .types.llms.custom_llm import CustomLLMItem
 from .types.utils import GenericStreamingChunk
 
 custom_provider_map: List[CustomLLMItem] = []
-_custom_providers: List[str] = (
-    []
-)  # internal helper util, used to track names of custom providers
-disable_hf_tokenizer_download: Optional[bool] = (
-    None  # disable huggingface tokenizer download. Defaults to openai clk100
-)
+_custom_providers: List[
+    str
+] = []  # internal helper util, used to track names of custom providers
+disable_hf_tokenizer_download: Optional[
+    bool
+] = None  # disable huggingface tokenizer download. Defaults to openai clk100
 global_disable_no_log_param: bool = False
diff --git a/litellm/_service_logger.py b/litellm/_service_logger.py
index 0b4f22e210..8f835bea83 100644
--- a/litellm/_service_logger.py
+++ b/litellm/_service_logger.py
@@ -15,7 +15,7 @@ from .types.services import ServiceLoggerPayload, ServiceTypes
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
     OTELClass = OpenTelemetry
 else:
     Span = Any
diff --git a/litellm/batches/main.py b/litellm/batches/main.py
index 1ddcafce4c..f4f74c72fb 100644
--- a/litellm/batches/main.py
+++ b/litellm/batches/main.py
@@ -153,7 +153,6 @@ def create_batch(
         )
         api_base: Optional[str] = None
         if custom_llm_provider == "openai":
-
             # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
             api_base = (
                 optional_params.api_base
@@ -358,7 +357,6 @@ def retrieve_batch(
         _is_async = kwargs.pop("aretrieve_batch", False) is True
         api_base: Optional[str] = None
         if custom_llm_provider == "openai":
-
             # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
             api_base = (
                 optional_params.api_base
diff --git a/litellm/caching/base_cache.py b/litellm/caching/base_cache.py
index 7109951d15..5140b390f7 100644
--- a/litellm/caching/base_cache.py
+++ b/litellm/caching/base_cache.py
@@ -9,12 +9,12 @@ Has 4 methods:
 """
 
 from abc import ABC, abstractmethod
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/caching/caching_handler.py b/litellm/caching/caching_handler.py
index 09fabf1c12..14278de9cd 100644
--- a/litellm/caching/caching_handler.py
+++ b/litellm/caching/caching_handler.py
@@ -66,9 +66,7 @@ class CachingHandlerResponse(BaseModel):
 
     cached_result: Optional[Any] = None
     final_embedding_cached_response: Optional[EmbeddingResponse] = None
-    embedding_all_elements_cache_hit: bool = (
-        False  # this is set to True when all elements in the list have a cache hit in the embedding cache, if true return the final_embedding_cached_response no need to make an API call
-    )
+    embedding_all_elements_cache_hit: bool = False  # this is set to True when all elements in the list have a cache hit in the embedding cache, if true return the final_embedding_cached_response no need to make an API call
 
 
 class LLMCachingHandler:
@@ -738,7 +736,6 @@ class LLMCachingHandler:
         if self._should_store_result_in_cache(
             original_function=self.original_function, kwargs=new_kwargs
         ):
-
             litellm.cache.add_cache(result, **new_kwargs)
 
         return
@@ -865,9 +862,9 @@ class LLMCachingHandler:
         }
 
         if litellm.cache is not None:
-            litellm_params["preset_cache_key"] = (
-                litellm.cache._get_preset_cache_key_from_kwargs(**kwargs)
-            )
+            litellm_params[
+                "preset_cache_key"
+            ] = litellm.cache._get_preset_cache_key_from_kwargs(**kwargs)
         else:
             litellm_params["preset_cache_key"] = None
 
diff --git a/litellm/caching/disk_cache.py b/litellm/caching/disk_cache.py
index abf3203f50..413ac2932d 100644
--- a/litellm/caching/disk_cache.py
+++ b/litellm/caching/disk_cache.py
@@ -1,12 +1,12 @@
 import json
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from .base_cache import BaseCache
 
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/caching/dual_cache.py b/litellm/caching/dual_cache.py
index 5f598f7d70..8bef333758 100644
--- a/litellm/caching/dual_cache.py
+++ b/litellm/caching/dual_cache.py
@@ -12,7 +12,7 @@ import asyncio
 import time
 import traceback
 from concurrent.futures import ThreadPoolExecutor
-from typing import TYPE_CHECKING, Any, List, Optional
+from typing import TYPE_CHECKING, Any, List, Optional, Union
 
 import litellm
 from litellm._logging import print_verbose, verbose_logger
@@ -24,7 +24,7 @@ from .redis_cache import RedisCache
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/caching/llm_caching_handler.py b/litellm/caching/llm_caching_handler.py
index 429634b7b1..3bf1f80d08 100644
--- a/litellm/caching/llm_caching_handler.py
+++ b/litellm/caching/llm_caching_handler.py
@@ -8,7 +8,6 @@ from .in_memory_cache import InMemoryCache
 
 
 class LLMClientCache(InMemoryCache):
-
     def update_cache_key_with_event_loop(self, key):
         """
         Add the event loop to the cache key, to prevent event loop closed errors.
diff --git a/litellm/caching/redis_cache.py b/litellm/caching/redis_cache.py
index 7378ed878a..63cd4d0959 100644
--- a/litellm/caching/redis_cache.py
+++ b/litellm/caching/redis_cache.py
@@ -34,7 +34,7 @@ if TYPE_CHECKING:
     cluster_pipeline = ClusterPipeline
     async_redis_client = Redis
     async_redis_cluster_client = RedisCluster
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     pipeline = Any
     cluster_pipeline = Any
@@ -57,7 +57,6 @@ class RedisCache(BaseCache):
         socket_timeout: Optional[float] = 5.0,  # default 5 second timeout
         **kwargs,
     ):
-
         from litellm._service_logger import ServiceLogging
 
         from .._redis import get_redis_client, get_redis_connection_pool
diff --git a/litellm/caching/redis_cluster_cache.py b/litellm/caching/redis_cluster_cache.py
index 2e7d1de17f..21c3ab0366 100644
--- a/litellm/caching/redis_cluster_cache.py
+++ b/litellm/caching/redis_cluster_cache.py
@@ -5,7 +5,7 @@ Key differences:
 - RedisClient NEEDs to be re-used across requests, adds 3000ms latency if it's re-created
 """
 
-from typing import TYPE_CHECKING, Any, List, Optional
+from typing import TYPE_CHECKING, Any, List, Optional, Union
 
 from litellm.caching.redis_cache import RedisCache
 
@@ -16,7 +16,7 @@ if TYPE_CHECKING:
 
     pipeline = Pipeline
     async_redis_client = Redis
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     pipeline = Any
     async_redis_client = Any
diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py
index f46bb661ef..c76f27377d 100644
--- a/litellm/caching/redis_semantic_cache.py
+++ b/litellm/caching/redis_semantic_cache.py
@@ -13,23 +13,27 @@ import ast
 import asyncio
 import json
 import os
-from typing import Any, Dict, List, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple, cast
 
 import litellm
 from litellm._logging import print_verbose
-from litellm.litellm_core_utils.prompt_templates.common_utils import get_str_from_messages
+from litellm.litellm_core_utils.prompt_templates.common_utils import (
+    get_str_from_messages,
+)
+from litellm.types.utils import EmbeddingResponse
+
 from .base_cache import BaseCache
 
 
 class RedisSemanticCache(BaseCache):
     """
-    Redis-backed semantic cache for LLM responses. 
-    
-    This cache uses vector similarity to find semantically similar prompts that have been 
+    Redis-backed semantic cache for LLM responses.
+
+    This cache uses vector similarity to find semantically similar prompts that have been
     previously sent to the LLM, allowing for cache hits even when prompts are not identical
     but carry similar meaning.
     """
-    
+
     DEFAULT_REDIS_INDEX_NAME: str = "litellm_semantic_cache_index"
 
     def __init__(
@@ -57,7 +61,7 @@ class RedisSemanticCache(BaseCache):
             index_name: Name for the Redis index
             ttl: Default time-to-live for cache entries in seconds
             **kwargs: Additional arguments passed to the Redis client
-        
+
         Raises:
             Exception: If similarity_threshold is not provided or required Redis
                 connection information is missing
@@ -69,14 +73,14 @@ class RedisSemanticCache(BaseCache):
             index_name = self.DEFAULT_REDIS_INDEX_NAME
 
         print_verbose(f"Redis semantic-cache initializing index - {index_name}")
-        
+
         # Validate similarity threshold
         if similarity_threshold is None:
             raise ValueError("similarity_threshold must be provided, passed None")
-            
+
         # Store configuration
         self.similarity_threshold = similarity_threshold
-        
+
         # Convert similarity threshold [0,1] to distance threshold [0,2]
         # For cosine distance: 0 = most similar, 2 = least similar
         # While similarity: 1 = most similar, 0 = least similar
@@ -87,14 +91,16 @@ class RedisSemanticCache(BaseCache):
         if redis_url is None:
             try:
                 # Attempt to use provided parameters or fallback to environment variables
-                host = host or os.environ['REDIS_HOST']
-                port = port or os.environ['REDIS_PORT']
-                password = password or os.environ['REDIS_PASSWORD']
+                host = host or os.environ["REDIS_HOST"]
+                port = port or os.environ["REDIS_PORT"]
+                password = password or os.environ["REDIS_PASSWORD"]
             except KeyError as e:
                 # Raise a more informative exception if any of the required keys are missing
                 missing_var = e.args[0]
-                raise ValueError(f"Missing required Redis configuration: {missing_var}. "
-                                 f"Provide {missing_var} or redis_url.") from e
+                raise ValueError(
+                    f"Missing required Redis configuration: {missing_var}. "
+                    f"Provide {missing_var} or redis_url."
+                ) from e
 
             redis_url = f"redis://:{password}@{host}:{port}"
 
@@ -114,7 +120,7 @@ class RedisSemanticCache(BaseCache):
     def _get_ttl(self, **kwargs) -> Optional[int]:
         """
         Get the TTL (time-to-live) value for cache entries.
-        
+
         Args:
             **kwargs: Keyword arguments that may contain a custom TTL
 
@@ -125,22 +131,25 @@ class RedisSemanticCache(BaseCache):
         if ttl is not None:
             ttl = int(ttl)
         return ttl
-    
+
     def _get_embedding(self, prompt: str) -> List[float]:
         """
         Generate an embedding vector for the given prompt using the configured embedding model.
-        
+
         Args:
             prompt: The text to generate an embedding for
-            
+
         Returns:
             List[float]: The embedding vector
         """
         # Create an embedding from prompt
-        embedding_response = litellm.embedding(
-            model=self.embedding_model,
-            input=prompt,
-            cache={"no-store": True, "no-cache": True},
+        embedding_response = cast(
+            EmbeddingResponse,
+            litellm.embedding(
+                model=self.embedding_model,
+                input=prompt,
+                cache={"no-store": True, "no-cache": True},
+            ),
         )
         embedding = embedding_response["data"][0]["embedding"]
         return embedding
@@ -148,10 +157,10 @@ class RedisSemanticCache(BaseCache):
     def _get_cache_logic(self, cached_response: Any) -> Any:
         """
         Process the cached response to prepare it for use.
-        
+
         Args:
             cached_response: The raw cached response
-            
+
         Returns:
             The processed cache response, or None if input was None
         """
@@ -171,13 +180,13 @@ class RedisSemanticCache(BaseCache):
             except (ValueError, SyntaxError) as e:
                 print_verbose(f"Error parsing cached response: {str(e)}")
                 return None
-                
+
         return cached_response
 
     def set_cache(self, key: str, value: Any, **kwargs) -> None:
         """
         Store a value in the semantic cache.
-        
+
         Args:
             key: The cache key (not directly used in semantic caching)
             value: The response value to cache
@@ -186,13 +195,14 @@ class RedisSemanticCache(BaseCache):
         """
         print_verbose(f"Redis semantic-cache set_cache, kwargs: {kwargs}")
 
+        value_str: Optional[str] = None
         try:
             # Extract the prompt from messages
             messages = kwargs.get("messages", [])
             if not messages:
                 print_verbose("No messages provided for semantic caching")
                 return
-                
+
             prompt = get_str_from_messages(messages)
             value_str = str(value)
 
@@ -203,16 +213,18 @@ class RedisSemanticCache(BaseCache):
             else:
                 self.llmcache.store(prompt, value_str)
         except Exception as e:
-            print_verbose(f"Error setting {value_str} in the Redis semantic cache: {str(e)}")
+            print_verbose(
+                f"Error setting {value_str or value} in the Redis semantic cache: {str(e)}"
+            )
 
     def get_cache(self, key: str, **kwargs) -> Any:
         """
         Retrieve a semantically similar cached response.
-        
+
         Args:
             key: The cache key (not directly used in semantic caching)
             **kwargs: Additional arguments including 'messages' for the prompt
-            
+
         Returns:
             The cached response if a semantically similar prompt is found, else None
         """
@@ -224,7 +236,7 @@ class RedisSemanticCache(BaseCache):
             if not messages:
                 print_verbose("No messages provided for semantic cache lookup")
                 return None
-                
+
             prompt = get_str_from_messages(messages)
             # Check the cache for semantically similar prompts
             results = self.llmcache.check(prompt=prompt)
@@ -236,12 +248,12 @@ class RedisSemanticCache(BaseCache):
             # Process the best matching result
             cache_hit = results[0]
             vector_distance = float(cache_hit["vector_distance"])
-            
+
             # Convert vector distance back to similarity score
             # For cosine distance: 0 = most similar, 2 = least similar
             # While similarity: 1 = most similar, 0 = least similar
             similarity = 1 - vector_distance
-            
+
             cached_prompt = cache_hit["prompt"]
             cached_response = cache_hit["response"]
 
@@ -251,19 +263,19 @@ class RedisSemanticCache(BaseCache):
                 f"current prompt: {prompt}, "
                 f"cached prompt: {cached_prompt}"
             )
-            
+
             return self._get_cache_logic(cached_response=cached_response)
         except Exception as e:
             print_verbose(f"Error retrieving from Redis semantic cache: {str(e)}")
-    
+
     async def _get_async_embedding(self, prompt: str, **kwargs) -> List[float]:
         """
         Asynchronously generate an embedding for the given prompt.
-        
+
         Args:
             prompt: The text to generate an embedding for
             **kwargs: Additional arguments that may contain metadata
-            
+
         Returns:
             List[float]: The embedding vector
         """
@@ -275,7 +287,7 @@ class RedisSemanticCache(BaseCache):
             if llm_model_list is not None
             else []
         )
-        
+
         try:
             if llm_router is not None and self.embedding_model in router_model_names:
                 # Use the router for embedding generation
@@ -307,7 +319,7 @@ class RedisSemanticCache(BaseCache):
     async def async_set_cache(self, key: str, value: Any, **kwargs) -> None:
         """
         Asynchronously store a value in the semantic cache.
-        
+
         Args:
             key: The cache key (not directly used in semantic caching)
             value: The response value to cache
@@ -322,13 +334,13 @@ class RedisSemanticCache(BaseCache):
             if not messages:
                 print_verbose("No messages provided for semantic caching")
                 return
-                
+
             prompt = get_str_from_messages(messages)
             value_str = str(value)
 
             # Generate embedding for the value (response) to cache
             prompt_embedding = await self._get_async_embedding(prompt, **kwargs)
-            
+
             # Get TTL and store in Redis semantic cache
             ttl = self._get_ttl(**kwargs)
             if ttl is not None:
@@ -336,13 +348,13 @@ class RedisSemanticCache(BaseCache):
                     prompt,
                     value_str,
                     vector=prompt_embedding,  # Pass through custom embedding
-                    ttl=ttl
+                    ttl=ttl,
                 )
             else:
                 await self.llmcache.astore(
                     prompt,
                     value_str,
-                    vector=prompt_embedding  # Pass through custom embedding
+                    vector=prompt_embedding,  # Pass through custom embedding
                 )
         except Exception as e:
             print_verbose(f"Error in async_set_cache: {str(e)}")
@@ -350,11 +362,11 @@ class RedisSemanticCache(BaseCache):
     async def async_get_cache(self, key: str, **kwargs) -> Any:
         """
         Asynchronously retrieve a semantically similar cached response.
-        
+
         Args:
             key: The cache key (not directly used in semantic caching)
             **kwargs: Additional arguments including 'messages' for the prompt
-            
+
         Returns:
             The cached response if a semantically similar prompt is found, else None
         """
@@ -367,21 +379,20 @@ class RedisSemanticCache(BaseCache):
                 print_verbose("No messages provided for semantic cache lookup")
                 kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0
                 return None
-                
+
             prompt = get_str_from_messages(messages)
-            
+
             # Generate embedding for the prompt
             prompt_embedding = await self._get_async_embedding(prompt, **kwargs)
 
             # Check the cache for semantically similar prompts
-            results = await self.llmcache.acheck(
-                prompt=prompt,
-                vector=prompt_embedding
-            )
+            results = await self.llmcache.acheck(prompt=prompt, vector=prompt_embedding)
 
             # handle results / cache hit
             if not results:
-                kwargs.setdefault("metadata", {})["semantic-similarity"] = 0.0 # TODO why here but not above??
+                kwargs.setdefault("metadata", {})[
+                    "semantic-similarity"
+                ] = 0.0  # TODO why here but not above??
                 return None
 
             cache_hit = results[0]
@@ -404,7 +415,7 @@ class RedisSemanticCache(BaseCache):
                 f"current prompt: {prompt}, "
                 f"cached prompt: {cached_prompt}"
             )
-            
+
             return self._get_cache_logic(cached_response=cached_response)
         except Exception as e:
             print_verbose(f"Error in async_get_cache: {str(e)}")
@@ -413,17 +424,19 @@ class RedisSemanticCache(BaseCache):
     async def _index_info(self) -> Dict[str, Any]:
         """
         Get information about the Redis index.
-        
+
         Returns:
             Dict[str, Any]: Information about the Redis index
         """
         aindex = await self.llmcache._get_async_index()
         return await aindex.info()
 
-    async def async_set_cache_pipeline(self, cache_list: List[Tuple[str, Any]], **kwargs) -> None:
+    async def async_set_cache_pipeline(
+        self, cache_list: List[Tuple[str, Any]], **kwargs
+    ) -> None:
         """
         Asynchronously store multiple values in the semantic cache.
-        
+
         Args:
             cache_list: List of (key, value) tuples to cache
             **kwargs: Additional arguments
diff --git a/litellm/caching/s3_cache.py b/litellm/caching/s3_cache.py
index 301591c64f..c02e109136 100644
--- a/litellm/caching/s3_cache.py
+++ b/litellm/caching/s3_cache.py
@@ -123,7 +123,7 @@ class S3Cache(BaseCache):
                     )  # Convert string to dictionary
                 except Exception:
                     cached_response = ast.literal_eval(cached_response)
-            if type(cached_response) is not dict:
+            if not isinstance(cached_response, dict):
                 cached_response = dict(cached_response)
             verbose_logger.debug(
                 f"Got S3 Cache: key: {key}, cached_response {cached_response}. Type Response {type(cached_response)}"
diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index f343591443..a41fc364ab 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -580,7 +580,6 @@ def completion_cost(  # noqa: PLR0915
         - For un-mapped Replicate models, the cost is calculated based on the total time used for the request.
     """
     try:
-
         call_type = _infer_call_type(call_type, completion_response) or "completion"
 
         if (
diff --git a/litellm/fine_tuning/main.py b/litellm/fine_tuning/main.py
index b726a394c2..09c070fffb 100644
--- a/litellm/fine_tuning/main.py
+++ b/litellm/fine_tuning/main.py
@@ -138,7 +138,6 @@ def create_fine_tuning_job(
 
         # OpenAI
         if custom_llm_provider == "openai":
-
             # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
             api_base = (
                 optional_params.api_base
@@ -360,7 +359,6 @@ def cancel_fine_tuning_job(
 
         # OpenAI
         if custom_llm_provider == "openai":
-
             # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
             api_base = (
                 optional_params.api_base
@@ -522,7 +520,6 @@ def list_fine_tuning_jobs(
 
         # OpenAI
         if custom_llm_provider == "openai":
-
             # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
             api_base = (
                 optional_params.api_base
diff --git a/litellm/integrations/SlackAlerting/batching_handler.py b/litellm/integrations/SlackAlerting/batching_handler.py
index e35cf61d63..fdce2e0479 100644
--- a/litellm/integrations/SlackAlerting/batching_handler.py
+++ b/litellm/integrations/SlackAlerting/batching_handler.py
@@ -19,7 +19,6 @@ else:
 
 
 def squash_payloads(queue):
-
     squashed = {}
     if len(queue) == 0:
         return squashed
diff --git a/litellm/integrations/SlackAlerting/slack_alerting.py b/litellm/integrations/SlackAlerting/slack_alerting.py
index a2e6264760..50f0538cfd 100644
--- a/litellm/integrations/SlackAlerting/slack_alerting.py
+++ b/litellm/integrations/SlackAlerting/slack_alerting.py
@@ -195,12 +195,15 @@ class SlackAlerting(CustomBatchLogger):
         if self.alerting is None or self.alert_types is None:
             return
 
-        time_difference_float, model, api_base, messages = (
-            self._response_taking_too_long_callback_helper(
-                kwargs=kwargs,
-                start_time=start_time,
-                end_time=end_time,
-            )
+        (
+            time_difference_float,
+            model,
+            api_base,
+            messages,
+        ) = self._response_taking_too_long_callback_helper(
+            kwargs=kwargs,
+            start_time=start_time,
+            end_time=end_time,
         )
         if litellm.turn_off_message_logging or litellm.redact_messages_in_exceptions:
             messages = "Message not logged. litellm.redact_messages_in_exceptions=True"
@@ -819,9 +822,9 @@ class SlackAlerting(CustomBatchLogger):
         ### UNIQUE CACHE KEY ###
         cache_key = provider + region_name
 
-        outage_value: Optional[ProviderRegionOutageModel] = (
-            await self.internal_usage_cache.async_get_cache(key=cache_key)
-        )
+        outage_value: Optional[
+            ProviderRegionOutageModel
+        ] = await self.internal_usage_cache.async_get_cache(key=cache_key)
 
         if (
             getattr(exception, "status_code", None) is None
@@ -1402,9 +1405,9 @@ Model Info:
             self.alert_to_webhook_url is not None
             and alert_type in self.alert_to_webhook_url
         ):
-            slack_webhook_url: Optional[Union[str, List[str]]] = (
-                self.alert_to_webhook_url[alert_type]
-            )
+            slack_webhook_url: Optional[
+                Union[str, List[str]]
+            ] = self.alert_to_webhook_url[alert_type]
         elif self.default_webhook_url is not None:
             slack_webhook_url = self.default_webhook_url
         else:
@@ -1768,7 +1771,6 @@ Model Info:
         - Team Created, Updated, Deleted
         """
         try:
-
             message = f"`{event_name}`\n"
 
             key_event_dict = key_event.model_dump()
diff --git a/litellm/integrations/_types/open_inference.py b/litellm/integrations/_types/open_inference.py
index b5076c0e42..bcfabe9b7b 100644
--- a/litellm/integrations/_types/open_inference.py
+++ b/litellm/integrations/_types/open_inference.py
@@ -283,4 +283,4 @@ class OpenInferenceSpanKindValues(Enum):
 
 class OpenInferenceMimeTypeValues(Enum):
     TEXT = "text/plain"
-    JSON = "application/json"
\ No newline at end of file
+    JSON = "application/json"
diff --git a/litellm/integrations/argilla.py b/litellm/integrations/argilla.py
index 055ad90259..a362ce7e4d 100644
--- a/litellm/integrations/argilla.py
+++ b/litellm/integrations/argilla.py
@@ -98,7 +98,6 @@ class ArgillaLogger(CustomBatchLogger):
         argilla_dataset_name: Optional[str],
         argilla_base_url: Optional[str],
     ) -> ArgillaCredentialsObject:
-
         _credentials_api_key = argilla_api_key or os.getenv("ARGILLA_API_KEY")
         if _credentials_api_key is None:
             raise Exception("Invalid Argilla API Key given. _credentials_api_key=None.")
diff --git a/litellm/integrations/arize/_utils.py b/litellm/integrations/arize/_utils.py
index 487304cce4..5a090968b4 100644
--- a/litellm/integrations/arize/_utils.py
+++ b/litellm/integrations/arize/_utils.py
@@ -1,4 +1,4 @@
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from litellm._logging import verbose_logger
 from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
@@ -7,7 +7,7 @@ from litellm.types.utils import StandardLoggingPayload
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/integrations/arize/arize.py b/litellm/integrations/arize/arize.py
index 7a0fb785a7..03b6966809 100644
--- a/litellm/integrations/arize/arize.py
+++ b/litellm/integrations/arize/arize.py
@@ -19,14 +19,13 @@ if TYPE_CHECKING:
     from litellm.types.integrations.arize import Protocol as _Protocol
 
     Protocol = _Protocol
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Protocol = Any
     Span = Any
 
 
 class ArizeLogger(OpenTelemetry):
-
     def set_attributes(self, span: Span, kwargs, response_obj: Optional[Any]):
         ArizeLogger.set_arize_attributes(span, kwargs, response_obj)
         return
diff --git a/litellm/integrations/arize/arize_phoenix.py b/litellm/integrations/arize/arize_phoenix.py
index d7b7d5812b..2b4909885a 100644
--- a/litellm/integrations/arize/arize_phoenix.py
+++ b/litellm/integrations/arize/arize_phoenix.py
@@ -1,17 +1,20 @@
 import os
-from typing import TYPE_CHECKING, Any
-from litellm.integrations.arize import _utils
+from typing import TYPE_CHECKING, Any, Union
+
 from litellm._logging import verbose_logger
+from litellm.integrations.arize import _utils
 from litellm.types.integrations.arize_phoenix import ArizePhoenixConfig
 
 if TYPE_CHECKING:
-    from .opentelemetry import OpenTelemetryConfig as _OpenTelemetryConfig
-    from litellm.types.integrations.arize import Protocol as _Protocol
     from opentelemetry.trace import Span as _Span
 
+    from litellm.types.integrations.arize import Protocol as _Protocol
+
+    from .opentelemetry import OpenTelemetryConfig as _OpenTelemetryConfig
+
     Protocol = _Protocol
     OpenTelemetryConfig = _OpenTelemetryConfig
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Protocol = Any
     OpenTelemetryConfig = Any
@@ -20,6 +23,7 @@ else:
 
 ARIZE_HOSTED_PHOENIX_ENDPOINT = "https://app.phoenix.arize.com/v1/traces"
 
+
 class ArizePhoenixLogger:
     @staticmethod
     def set_arize_phoenix_attributes(span: Span, kwargs, response_obj):
@@ -49,7 +53,7 @@ class ArizePhoenixLogger:
             protocol = "otlp_grpc"
         else:
             endpoint = ARIZE_HOSTED_PHOENIX_ENDPOINT
-            protocol = "otlp_http"       
+            protocol = "otlp_http"
             verbose_logger.debug(
                 f"No PHOENIX_COLLECTOR_ENDPOINT or PHOENIX_COLLECTOR_HTTP_ENDPOINT found, using default endpoint with http: {ARIZE_HOSTED_PHOENIX_ENDPOINT}"
             )
@@ -57,17 +61,16 @@ class ArizePhoenixLogger:
         otlp_auth_headers = None
         # If the endpoint is the Arize hosted Phoenix endpoint, use the api_key as the auth header as currently it is uses
         # a slightly different auth header format than self hosted phoenix
-        if endpoint == ARIZE_HOSTED_PHOENIX_ENDPOINT: 
+        if endpoint == ARIZE_HOSTED_PHOENIX_ENDPOINT:
             if api_key is None:
-                raise ValueError("PHOENIX_API_KEY must be set when the Arize hosted Phoenix endpoint is used.")
+                raise ValueError(
+                    "PHOENIX_API_KEY must be set when the Arize hosted Phoenix endpoint is used."
+                )
             otlp_auth_headers = f"api_key={api_key}"
         elif api_key is not None:
             # api_key/auth is optional for self hosted phoenix
             otlp_auth_headers = f"Authorization=Bearer {api_key}"
 
         return ArizePhoenixConfig(
-            otlp_auth_headers=otlp_auth_headers,
-            protocol=protocol,
-            endpoint=endpoint
+            otlp_auth_headers=otlp_auth_headers, protocol=protocol, endpoint=endpoint
         )
-
diff --git a/litellm/integrations/athina.py b/litellm/integrations/athina.py
index 705dc11f1d..49b9e9e687 100644
--- a/litellm/integrations/athina.py
+++ b/litellm/integrations/athina.py
@@ -12,7 +12,10 @@ class AthinaLogger:
             "athina-api-key": self.athina_api_key,
             "Content-Type": "application/json",
         }
-        self.athina_logging_url = os.getenv("ATHINA_BASE_URL", "https://log.athina.ai") + "/api/v1/log/inference"
+        self.athina_logging_url = (
+            os.getenv("ATHINA_BASE_URL", "https://log.athina.ai")
+            + "/api/v1/log/inference"
+        )
         self.additional_keys = [
             "environment",
             "prompt_slug",
diff --git a/litellm/integrations/azure_storage/azure_storage.py b/litellm/integrations/azure_storage/azure_storage.py
index ddc46b117f..27f5e0e112 100644
--- a/litellm/integrations/azure_storage/azure_storage.py
+++ b/litellm/integrations/azure_storage/azure_storage.py
@@ -50,12 +50,12 @@ class AzureBlobStorageLogger(CustomBatchLogger):
             self.azure_storage_file_system: str = _azure_storage_file_system
 
             # Internal variables used for Token based authentication
-            self.azure_auth_token: Optional[str] = (
-                None  # the Azure AD token to use for Azure Storage API requests
-            )
-            self.token_expiry: Optional[datetime] = (
-                None  # the expiry time of the currentAzure AD token
-            )
+            self.azure_auth_token: Optional[
+                str
+            ] = None  # the Azure AD token to use for Azure Storage API requests
+            self.token_expiry: Optional[
+                datetime
+            ] = None  # the expiry time of the currentAzure AD token
 
             asyncio.create_task(self.periodic_flush())
             self.flush_lock = asyncio.Lock()
@@ -153,7 +153,6 @@ class AzureBlobStorageLogger(CustomBatchLogger):
         3. Flush the data
         """
         try:
-
             if self.azure_storage_account_key:
                 await self.upload_to_azure_data_lake_with_azure_account_key(
                     payload=payload
diff --git a/litellm/integrations/braintrust_logging.py b/litellm/integrations/braintrust_logging.py
index 281fbda01e..0961eab02b 100644
--- a/litellm/integrations/braintrust_logging.py
+++ b/litellm/integrations/braintrust_logging.py
@@ -4,7 +4,7 @@
 import copy
 import os
 from datetime import datetime
-from typing import Optional, Dict
+from typing import Dict, Optional
 
 import httpx
 from pydantic import BaseModel
@@ -19,7 +19,9 @@ from litellm.llms.custom_httpx.http_handler import (
 )
 from litellm.utils import print_verbose
 
-global_braintrust_http_handler = get_async_httpx_client(llm_provider=httpxSpecialProvider.LoggingCallback)
+global_braintrust_http_handler = get_async_httpx_client(
+    llm_provider=httpxSpecialProvider.LoggingCallback
+)
 global_braintrust_sync_http_handler = HTTPHandler()
 API_BASE = "https://api.braintrustdata.com/v1"
 
@@ -35,7 +37,9 @@ def get_utc_datetime():
 
 
 class BraintrustLogger(CustomLogger):
-    def __init__(self, api_key: Optional[str] = None, api_base: Optional[str] = None) -> None:
+    def __init__(
+        self, api_key: Optional[str] = None, api_base: Optional[str] = None
+    ) -> None:
         super().__init__()
         self.validate_environment(api_key=api_key)
         self.api_base = api_base or API_BASE
@@ -45,7 +49,9 @@ class BraintrustLogger(CustomLogger):
             "Authorization": "Bearer " + self.api_key,
             "Content-Type": "application/json",
         }
-        self._project_id_cache: Dict[str, str] = {}  # Cache mapping project names to IDs
+        self._project_id_cache: Dict[
+            str, str
+        ] = {}  # Cache mapping project names to IDs
 
     def validate_environment(self, api_key: Optional[str]):
         """
@@ -71,7 +77,9 @@ class BraintrustLogger(CustomLogger):
 
         try:
             response = global_braintrust_sync_http_handler.post(
-                f"{self.api_base}/project", headers=self.headers, json={"name": project_name}
+                f"{self.api_base}/project",
+                headers=self.headers,
+                json={"name": project_name},
             )
             project_dict = response.json()
             project_id = project_dict["id"]
@@ -89,7 +97,9 @@ class BraintrustLogger(CustomLogger):
 
         try:
             response = await global_braintrust_http_handler.post(
-                f"{self.api_base}/project/register", headers=self.headers, json={"name": project_name}
+                f"{self.api_base}/project/register",
+                headers=self.headers,
+                json={"name": project_name},
             )
             project_dict = response.json()
             project_id = project_dict["id"]
@@ -116,15 +126,21 @@ class BraintrustLogger(CustomLogger):
         if metadata is None:
             metadata = {}
 
-        proxy_headers = litellm_params.get("proxy_server_request", {}).get("headers", {}) or {}
+        proxy_headers = (
+            litellm_params.get("proxy_server_request", {}).get("headers", {}) or {}
+        )
 
         for metadata_param_key in proxy_headers:
             if metadata_param_key.startswith("braintrust"):
                 trace_param_key = metadata_param_key.replace("braintrust", "", 1)
                 if trace_param_key in metadata:
-                    verbose_logger.warning(f"Overwriting Braintrust `{trace_param_key}` from request header")
+                    verbose_logger.warning(
+                        f"Overwriting Braintrust `{trace_param_key}` from request header"
+                    )
                 else:
-                    verbose_logger.debug(f"Found Braintrust `{trace_param_key}` in request header")
+                    verbose_logger.debug(
+                        f"Found Braintrust `{trace_param_key}` in request header"
+                    )
                 metadata[trace_param_key] = proxy_headers.get(metadata_param_key)
 
         return metadata
@@ -157,24 +173,35 @@ class BraintrustLogger(CustomLogger):
             output = None
             choices = []
             if response_obj is not None and (
-                kwargs.get("call_type", None) == "embedding" or isinstance(response_obj, litellm.EmbeddingResponse)
+                kwargs.get("call_type", None) == "embedding"
+                or isinstance(response_obj, litellm.EmbeddingResponse)
             ):
                 output = None
-            elif response_obj is not None and isinstance(response_obj, litellm.ModelResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.ModelResponse
+            ):
                 output = response_obj["choices"][0]["message"].json()
                 choices = response_obj["choices"]
-            elif response_obj is not None and isinstance(response_obj, litellm.TextCompletionResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.TextCompletionResponse
+            ):
                 output = response_obj.choices[0].text
                 choices = response_obj.choices
-            elif response_obj is not None and isinstance(response_obj, litellm.ImageResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.ImageResponse
+            ):
                 output = response_obj["data"]
 
             litellm_params = kwargs.get("litellm_params", {})
-            metadata = litellm_params.get("metadata", {}) or {}  # if litellm_params['metadata'] == None
+            metadata = (
+                litellm_params.get("metadata", {}) or {}
+            )  # if litellm_params['metadata'] == None
             metadata = self.add_metadata_from_header(litellm_params, metadata)
             clean_metadata = {}
             try:
-                metadata = copy.deepcopy(metadata)  # Avoid modifying the original metadata
+                metadata = copy.deepcopy(
+                    metadata
+                )  # Avoid modifying the original metadata
             except Exception:
                 new_metadata = {}
                 for key, value in metadata.items():
@@ -192,7 +219,9 @@ class BraintrustLogger(CustomLogger):
             project_id = metadata.get("project_id")
             if project_id is None:
                 project_name = metadata.get("project_name")
-                project_id = self.get_project_id_sync(project_name) if project_name else None
+                project_id = (
+                    self.get_project_id_sync(project_name) if project_name else None
+                )
 
             if project_id is None:
                 if self.default_project_id is None:
@@ -234,7 +263,8 @@ class BraintrustLogger(CustomLogger):
                     "completion_tokens": usage_obj.completion_tokens,
                     "total_tokens": usage_obj.total_tokens,
                     "total_cost": cost,
-                    "time_to_first_token": end_time.timestamp() - start_time.timestamp(),
+                    "time_to_first_token": end_time.timestamp()
+                    - start_time.timestamp(),
                     "start": start_time.timestamp(),
                     "end": end_time.timestamp(),
                 }
@@ -255,7 +285,9 @@ class BraintrustLogger(CustomLogger):
                 request_data["metrics"] = metrics
 
             try:
-                print_verbose(f"global_braintrust_sync_http_handler.post: {global_braintrust_sync_http_handler.post}")
+                print_verbose(
+                    f"global_braintrust_sync_http_handler.post: {global_braintrust_sync_http_handler.post}"
+                )
                 global_braintrust_sync_http_handler.post(
                     url=f"{self.api_base}/project_logs/{project_id}/insert",
                     json={"events": [request_data]},
@@ -276,20 +308,29 @@ class BraintrustLogger(CustomLogger):
             output = None
             choices = []
             if response_obj is not None and (
-                kwargs.get("call_type", None) == "embedding" or isinstance(response_obj, litellm.EmbeddingResponse)
+                kwargs.get("call_type", None) == "embedding"
+                or isinstance(response_obj, litellm.EmbeddingResponse)
             ):
                 output = None
-            elif response_obj is not None and isinstance(response_obj, litellm.ModelResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.ModelResponse
+            ):
                 output = response_obj["choices"][0]["message"].json()
                 choices = response_obj["choices"]
-            elif response_obj is not None and isinstance(response_obj, litellm.TextCompletionResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.TextCompletionResponse
+            ):
                 output = response_obj.choices[0].text
                 choices = response_obj.choices
-            elif response_obj is not None and isinstance(response_obj, litellm.ImageResponse):
+            elif response_obj is not None and isinstance(
+                response_obj, litellm.ImageResponse
+            ):
                 output = response_obj["data"]
 
             litellm_params = kwargs.get("litellm_params", {})
-            metadata = litellm_params.get("metadata", {}) or {}  # if litellm_params['metadata'] == None
+            metadata = (
+                litellm_params.get("metadata", {}) or {}
+            )  # if litellm_params['metadata'] == None
             metadata = self.add_metadata_from_header(litellm_params, metadata)
             clean_metadata = {}
             new_metadata = {}
@@ -313,7 +354,11 @@ class BraintrustLogger(CustomLogger):
             project_id = metadata.get("project_id")
             if project_id is None:
                 project_name = metadata.get("project_name")
-                project_id = await self.get_project_id_async(project_name) if project_name else None
+                project_id = (
+                    await self.get_project_id_async(project_name)
+                    if project_name
+                    else None
+                )
 
             if project_id is None:
                 if self.default_project_id is None:
@@ -362,8 +407,14 @@ class BraintrustLogger(CustomLogger):
                 api_call_start_time = kwargs.get("api_call_start_time")
                 completion_start_time = kwargs.get("completion_start_time")
 
-                if api_call_start_time is not None and completion_start_time is not None:
-                    metrics["time_to_first_token"] = completion_start_time.timestamp() - api_call_start_time.timestamp()
+                if (
+                    api_call_start_time is not None
+                    and completion_start_time is not None
+                ):
+                    metrics["time_to_first_token"] = (
+                        completion_start_time.timestamp()
+                        - api_call_start_time.timestamp()
+                    )
 
             request_data = {
                 "id": litellm_call_id,
diff --git a/litellm/integrations/custom_batch_logger.py b/litellm/integrations/custom_batch_logger.py
index 3cfdf82cab..f9d4496c21 100644
--- a/litellm/integrations/custom_batch_logger.py
+++ b/litellm/integrations/custom_batch_logger.py
@@ -14,7 +14,6 @@ from litellm.integrations.custom_logger import CustomLogger
 
 
 class CustomBatchLogger(CustomLogger):
-
     def __init__(
         self,
         flush_lock: Optional[asyncio.Lock] = None,
diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py
index 4421664bfc..41a3800116 100644
--- a/litellm/integrations/custom_guardrail.py
+++ b/litellm/integrations/custom_guardrail.py
@@ -7,7 +7,6 @@ from litellm.types.utils import StandardLoggingGuardrailInformation
 
 
 class CustomGuardrail(CustomLogger):
-
     def __init__(
         self,
         guardrail_name: Optional[str] = None,
diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py
index 6f1ec88d01..ddb8094285 100644
--- a/litellm/integrations/custom_logger.py
+++ b/litellm/integrations/custom_logger.py
@@ -31,7 +31,7 @@ from litellm.types.utils import (
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/integrations/datadog/datadog.py b/litellm/integrations/datadog/datadog.py
index 4f4b05c84e..e9b6b6b164 100644
--- a/litellm/integrations/datadog/datadog.py
+++ b/litellm/integrations/datadog/datadog.py
@@ -233,7 +233,6 @@ class DataDogLogger(
         pass
 
     async def _log_async_event(self, kwargs, response_obj, start_time, end_time):
-
         dd_payload = self.create_datadog_logging_payload(
             kwargs=kwargs,
             response_obj=response_obj,
diff --git a/litellm/integrations/gcs_bucket/gcs_bucket_base.py b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
index 66995d8482..0ce845ecb2 100644
--- a/litellm/integrations/gcs_bucket/gcs_bucket_base.py
+++ b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
@@ -125,9 +125,9 @@ class GCSBucketBase(CustomBatchLogger):
         if kwargs is None:
             kwargs = {}
 
-        standard_callback_dynamic_params: Optional[StandardCallbackDynamicParams] = (
-            kwargs.get("standard_callback_dynamic_params", None)
-        )
+        standard_callback_dynamic_params: Optional[
+            StandardCallbackDynamicParams
+        ] = kwargs.get("standard_callback_dynamic_params", None)
 
         bucket_name: str
         path_service_account: Optional[str]
diff --git a/litellm/integrations/gcs_pubsub/pub_sub.py b/litellm/integrations/gcs_pubsub/pub_sub.py
index 1b078df7bc..bdaedcd908 100644
--- a/litellm/integrations/gcs_pubsub/pub_sub.py
+++ b/litellm/integrations/gcs_pubsub/pub_sub.py
@@ -70,12 +70,13 @@ class GcsPubSubLogger(CustomBatchLogger):
         """Construct authorization headers using Vertex AI auth"""
         from litellm import vertex_chat_completion
 
-        _auth_header, vertex_project = (
-            await vertex_chat_completion._ensure_access_token_async(
-                credentials=self.path_service_account_json,
-                project_id=None,
-                custom_llm_provider="vertex_ai",
-            )
+        (
+            _auth_header,
+            vertex_project,
+        ) = await vertex_chat_completion._ensure_access_token_async(
+            credentials=self.path_service_account_json,
+            project_id=None,
+            custom_llm_provider="vertex_ai",
         )
 
         auth_header, _ = vertex_chat_completion._get_token_and_url(
diff --git a/litellm/integrations/humanloop.py b/litellm/integrations/humanloop.py
index fd3463f9e3..4651238af4 100644
--- a/litellm/integrations/humanloop.py
+++ b/litellm/integrations/humanloop.py
@@ -155,11 +155,7 @@ class HumanloopLogger(CustomLogger):
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-    ) -> Tuple[
-        str,
-        List[AllMessageValues],
-        dict,
-    ]:
+    ) -> Tuple[str, List[AllMessageValues], dict,]:
         humanloop_api_key = dynamic_callback_params.get(
             "humanloop_api_key"
         ) or get_secret_str("HUMANLOOP_API_KEY")
diff --git a/litellm/integrations/langfuse/langfuse.py b/litellm/integrations/langfuse/langfuse.py
index f990a316c4..d0472ee638 100644
--- a/litellm/integrations/langfuse/langfuse.py
+++ b/litellm/integrations/langfuse/langfuse.py
@@ -471,9 +471,9 @@ class LangFuseLogger:
             # we clean out all extra litellm metadata params before logging
             clean_metadata: Dict[str, Any] = {}
             if prompt_management_metadata is not None:
-                clean_metadata["prompt_management_metadata"] = (
-                    prompt_management_metadata
-                )
+                clean_metadata[
+                    "prompt_management_metadata"
+                ] = prompt_management_metadata
             if isinstance(metadata, dict):
                 for key, value in metadata.items():
                     # generate langfuse tags - Default Tags sent to Langfuse from LiteLLM Proxy
diff --git a/litellm/integrations/langfuse/langfuse_handler.py b/litellm/integrations/langfuse/langfuse_handler.py
index aebe1461b0..f9d27f6cf0 100644
--- a/litellm/integrations/langfuse/langfuse_handler.py
+++ b/litellm/integrations/langfuse/langfuse_handler.py
@@ -19,7 +19,6 @@ else:
 
 
 class LangFuseHandler:
-
     @staticmethod
     def get_langfuse_logger_for_request(
         standard_callback_dynamic_params: StandardCallbackDynamicParams,
@@ -87,7 +86,9 @@ class LangFuseHandler:
         if globalLangfuseLogger is not None:
             return globalLangfuseLogger
 
-        credentials_dict: Dict[str, Any] = (
+        credentials_dict: Dict[
+            str, Any
+        ] = (
             {}
         )  # the global langfuse logger uses Environment Variables, there are no dynamic credentials
         globalLangfuseLogger = in_memory_dynamic_logger_cache.get_cache(
diff --git a/litellm/integrations/langfuse/langfuse_prompt_management.py b/litellm/integrations/langfuse/langfuse_prompt_management.py
index 1f4ca84db3..30f991ebd6 100644
--- a/litellm/integrations/langfuse/langfuse_prompt_management.py
+++ b/litellm/integrations/langfuse/langfuse_prompt_management.py
@@ -172,11 +172,7 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-    ) -> Tuple[
-        str,
-        List[AllMessageValues],
-        dict,
-    ]:
+    ) -> Tuple[str, List[AllMessageValues], dict,]:
         return self.get_chat_completion_prompt(
             model,
             messages,
diff --git a/litellm/integrations/langsmith.py b/litellm/integrations/langsmith.py
index 1ef90c1822..0914150db9 100644
--- a/litellm/integrations/langsmith.py
+++ b/litellm/integrations/langsmith.py
@@ -75,7 +75,6 @@ class LangsmithLogger(CustomBatchLogger):
         langsmith_project: Optional[str] = None,
         langsmith_base_url: Optional[str] = None,
     ) -> LangsmithCredentialsObject:
-
         _credentials_api_key = langsmith_api_key or os.getenv("LANGSMITH_API_KEY")
         if _credentials_api_key is None:
             raise Exception(
@@ -443,9 +442,9 @@ class LangsmithLogger(CustomBatchLogger):
 
         Otherwise, use the default credentials.
         """
-        standard_callback_dynamic_params: Optional[StandardCallbackDynamicParams] = (
-            kwargs.get("standard_callback_dynamic_params", None)
-        )
+        standard_callback_dynamic_params: Optional[
+            StandardCallbackDynamicParams
+        ] = kwargs.get("standard_callback_dynamic_params", None)
         if standard_callback_dynamic_params is not None:
             credentials = self.get_credentials_from_env(
                 langsmith_api_key=standard_callback_dynamic_params.get(
@@ -481,7 +480,6 @@ class LangsmithLogger(CustomBatchLogger):
             asyncio.run(self.async_send_batch())
 
     def get_run_by_id(self, run_id):
-
         langsmith_api_key = self.default_credentials["LANGSMITH_API_KEY"]
 
         langsmith_api_base = self.default_credentials["LANGSMITH_BASE_URL"]
diff --git a/litellm/integrations/langtrace.py b/litellm/integrations/langtrace.py
index 51cd272ff1..ac1069f440 100644
--- a/litellm/integrations/langtrace.py
+++ b/litellm/integrations/langtrace.py
@@ -1,12 +1,12 @@
 import json
-from typing import TYPE_CHECKING, Any
+from typing import TYPE_CHECKING, Any, Union
 
 from litellm.proxy._types import SpanAttributes
 
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/integrations/lunary.py b/litellm/integrations/lunary.py
index fcd781e44e..b24a24e088 100644
--- a/litellm/integrations/lunary.py
+++ b/litellm/integrations/lunary.py
@@ -20,7 +20,6 @@ def parse_tool_calls(tool_calls):
         return None
 
     def clean_tool_call(tool_call):
-
         serialized = {
             "type": tool_call.type,
             "id": tool_call.id,
@@ -36,7 +35,6 @@ def parse_tool_calls(tool_calls):
 
 
 def parse_messages(input):
-
     if input is None:
         return None
 
diff --git a/litellm/integrations/mlflow.py b/litellm/integrations/mlflow.py
index 193d1c4ea2..e7a458accf 100644
--- a/litellm/integrations/mlflow.py
+++ b/litellm/integrations/mlflow.py
@@ -48,14 +48,17 @@ class MlflowLogger(CustomLogger):
 
     def _extract_and_set_chat_attributes(self, span, kwargs, response_obj):
         try:
-            from mlflow.tracing.utils import set_span_chat_messages, set_span_chat_tools
+            from mlflow.tracing.utils import set_span_chat_messages  # type: ignore
+            from mlflow.tracing.utils import set_span_chat_tools  # type: ignore
         except ImportError:
             return
 
         inputs = self._construct_input(kwargs)
         input_messages = inputs.get("messages", [])
-        output_messages = [c.message.model_dump(exclude_none=True)
-                           for c in getattr(response_obj, "choices", [])]
+        output_messages = [
+            c.message.model_dump(exclude_none=True)
+            for c in getattr(response_obj, "choices", [])
+        ]
         if messages := [*input_messages, *output_messages]:
             set_span_chat_messages(span, messages)
         if tools := inputs.get("tools"):
diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py
index 1572eb81f5..f4fe40738b 100644
--- a/litellm/integrations/opentelemetry.py
+++ b/litellm/integrations/opentelemetry.py
@@ -1,7 +1,7 @@
 import os
 from dataclasses import dataclass
 from datetime import datetime
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, cast
 
 import litellm
 from litellm._logging import verbose_logger
@@ -23,10 +23,10 @@ if TYPE_CHECKING:
     )
     from litellm.proxy.proxy_server import UserAPIKeyAuth as _UserAPIKeyAuth
 
-    Span = _Span
-    SpanExporter = _SpanExporter
-    UserAPIKeyAuth = _UserAPIKeyAuth
-    ManagementEndpointLoggingPayload = _ManagementEndpointLoggingPayload
+    Span = Union[_Span, Any]
+    SpanExporter = Union[_SpanExporter, Any]
+    UserAPIKeyAuth = Union[_UserAPIKeyAuth, Any]
+    ManagementEndpointLoggingPayload = Union[_ManagementEndpointLoggingPayload, Any]
 else:
     Span = Any
     SpanExporter = Any
@@ -46,7 +46,6 @@ LITELLM_REQUEST_SPAN_NAME = "litellm_request"
 
 @dataclass
 class OpenTelemetryConfig:
-
     exporter: Union[str, SpanExporter] = "console"
     endpoint: Optional[str] = None
     headers: Optional[str] = None
@@ -154,7 +153,6 @@ class OpenTelemetry(CustomLogger):
         end_time: Optional[Union[datetime, float]] = None,
         event_metadata: Optional[dict] = None,
     ):
-
         from opentelemetry import trace
         from opentelemetry.trace import Status, StatusCode
 
@@ -215,7 +213,6 @@ class OpenTelemetry(CustomLogger):
         end_time: Optional[Union[float, datetime]] = None,
         event_metadata: Optional[dict] = None,
     ):
-
         from opentelemetry import trace
         from opentelemetry.trace import Status, StatusCode
 
@@ -353,9 +350,9 @@ class OpenTelemetry(CustomLogger):
         """
         from opentelemetry import trace
 
-        standard_callback_dynamic_params: Optional[StandardCallbackDynamicParams] = (
-            kwargs.get("standard_callback_dynamic_params")
-        )
+        standard_callback_dynamic_params: Optional[
+            StandardCallbackDynamicParams
+        ] = kwargs.get("standard_callback_dynamic_params")
         if not standard_callback_dynamic_params:
             return
 
@@ -722,7 +719,6 @@ class OpenTelemetry(CustomLogger):
         span.set_attribute(key, primitive_value)
 
     def set_raw_request_attributes(self, span: Span, kwargs, response_obj):
-
         kwargs.get("optional_params", {})
         litellm_params = kwargs.get("litellm_params", {}) or {}
         custom_llm_provider = litellm_params.get("custom_llm_provider", "Unknown")
@@ -843,12 +839,14 @@ class OpenTelemetry(CustomLogger):
             headers=dynamic_headers or self.OTEL_HEADERS
         )
 
-        if isinstance(self.OTEL_EXPORTER, SpanExporter):
+        if hasattr(
+            self.OTEL_EXPORTER, "export"
+        ):  # Check if it has the export method that SpanExporter requires
             verbose_logger.debug(
                 "OpenTelemetry: intiializing SpanExporter. Value of OTEL_EXPORTER: %s",
                 self.OTEL_EXPORTER,
             )
-            return SimpleSpanProcessor(self.OTEL_EXPORTER)
+            return SimpleSpanProcessor(cast(SpanExporter, self.OTEL_EXPORTER))
 
         if self.OTEL_EXPORTER == "console":
             verbose_logger.debug(
@@ -907,7 +905,6 @@ class OpenTelemetry(CustomLogger):
         logging_payload: ManagementEndpointLoggingPayload,
         parent_otel_span: Optional[Span] = None,
     ):
-
         from opentelemetry import trace
         from opentelemetry.trace import Status, StatusCode
 
@@ -961,7 +958,6 @@ class OpenTelemetry(CustomLogger):
         logging_payload: ManagementEndpointLoggingPayload,
         parent_otel_span: Optional[Span] = None,
     ):
-
         from opentelemetry import trace
         from opentelemetry.trace import Status, StatusCode
 
diff --git a/litellm/integrations/opik/opik.py b/litellm/integrations/opik/opik.py
index 1f7f18f336..8cbfb9e653 100644
--- a/litellm/integrations/opik/opik.py
+++ b/litellm/integrations/opik/opik.py
@@ -185,7 +185,6 @@ class OpikLogger(CustomBatchLogger):
     def _create_opik_payload(  # noqa: PLR0915
         self, kwargs, response_obj, start_time, end_time
     ) -> List[Dict]:
-
         # Get metadata
         _litellm_params = kwargs.get("litellm_params", {}) or {}
         litellm_params_metadata = _litellm_params.get("metadata", {}) or {}
diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py
index d6e47b87ce..5ac8c80eb3 100644
--- a/litellm/integrations/prometheus.py
+++ b/litellm/integrations/prometheus.py
@@ -988,9 +988,9 @@ class PrometheusLogger(CustomLogger):
     ):
         try:
             verbose_logger.debug("setting remaining tokens requests metric")
-            standard_logging_payload: Optional[StandardLoggingPayload] = (
-                request_kwargs.get("standard_logging_object")
-            )
+            standard_logging_payload: Optional[
+                StandardLoggingPayload
+            ] = request_kwargs.get("standard_logging_object")
 
             if standard_logging_payload is None:
                 return
diff --git a/litellm/integrations/prompt_management_base.py b/litellm/integrations/prompt_management_base.py
index 3fe3b31ed8..07b6720ffe 100644
--- a/litellm/integrations/prompt_management_base.py
+++ b/litellm/integrations/prompt_management_base.py
@@ -14,7 +14,6 @@ class PromptManagementClient(TypedDict):
 
 
 class PromptManagementBase(ABC):
-
     @property
     @abstractmethod
     def integration_name(self) -> str:
@@ -83,11 +82,7 @@ class PromptManagementBase(ABC):
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-    ) -> Tuple[
-        str,
-        List[AllMessageValues],
-        dict,
-    ]:
+    ) -> Tuple[str, List[AllMessageValues], dict,]:
         if not self.should_run_prompt_management(
             prompt_id=prompt_id, dynamic_callback_params=dynamic_callback_params
         ):
diff --git a/litellm/integrations/s3.py b/litellm/integrations/s3.py
index 4a0c27354f..01b9248e03 100644
--- a/litellm/integrations/s3.py
+++ b/litellm/integrations/s3.py
@@ -38,7 +38,7 @@ class S3Logger:
             if litellm.s3_callback_params is not None:
                 # read in .env variables - example os.environ/AWS_BUCKET_NAME
                 for key, value in litellm.s3_callback_params.items():
-                    if type(value) is str and value.startswith("os.environ/"):
+                    if isinstance(value, str) and value.startswith("os.environ/"):
                         litellm.s3_callback_params[key] = litellm.get_secret(value)
                 # now set s3 params from litellm.s3_logger_params
                 s3_bucket_name = litellm.s3_callback_params.get("s3_bucket_name")
diff --git a/litellm/integrations/weights_biases.py b/litellm/integrations/weights_biases.py
index 5fcbab04b3..63d87c9bd9 100644
--- a/litellm/integrations/weights_biases.py
+++ b/litellm/integrations/weights_biases.py
@@ -21,11 +21,11 @@ try:
         # contains a (known) object attribute
         object: Literal["chat.completion", "edit", "text_completion"]
 
-        def __getitem__(self, key: K) -> V: ...  # noqa
+        def __getitem__(self, key: K) -> V:
+            ...  # noqa
 
-        def get(  # noqa
-            self, key: K, default: Optional[V] = None
-        ) -> Optional[V]: ...  # pragma: no cover
+        def get(self, key: K, default: Optional[V] = None) -> Optional[V]:  # noqa
+            ...  # pragma: no cover
 
     class OpenAIRequestResponseResolver:
         def __call__(
diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index 2036b93692..275c53ad30 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -10,7 +10,7 @@ from litellm.types.llms.openai import AllMessageValues
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/litellm_core_utils/default_encoding.py b/litellm/litellm_core_utils/default_encoding.py
index 05bf78a6a9..93b3132912 100644
--- a/litellm/litellm_core_utils/default_encoding.py
+++ b/litellm/litellm_core_utils/default_encoding.py
@@ -11,7 +11,9 @@ except (ImportError, AttributeError):
     # Old way to access resources, which setuptools deprecated some time ago
     import pkg_resources  # type: ignore
 
-    filename = pkg_resources.resource_filename(__name__, "litellm_core_utils/tokenizers")
+    filename = pkg_resources.resource_filename(
+        __name__, "litellm_core_utils/tokenizers"
+    )
 
 os.environ["TIKTOKEN_CACHE_DIR"] = os.getenv(
     "CUSTOM_TIKTOKEN_CACHE_DIR", filename
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 3565c4468c..dcd3ae3a64 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -239,9 +239,9 @@ class Logging(LiteLLMLoggingBaseClass):
         self.litellm_trace_id = litellm_trace_id
         self.function_id = function_id
         self.streaming_chunks: List[Any] = []  # for generating complete stream response
-        self.sync_streaming_chunks: List[Any] = (
-            []
-        )  # for generating complete stream response
+        self.sync_streaming_chunks: List[
+            Any
+        ] = []  # for generating complete stream response
         self.log_raw_request_response = log_raw_request_response
 
         # Initialize dynamic callbacks
@@ -452,18 +452,19 @@ class Logging(LiteLLMLoggingBaseClass):
         prompt_id: str,
         prompt_variables: Optional[dict],
     ) -> Tuple[str, List[AllMessageValues], dict]:
-
         custom_logger = self.get_custom_logger_for_prompt_management(model)
         if custom_logger:
-            model, messages, non_default_params = (
-                custom_logger.get_chat_completion_prompt(
-                    model=model,
-                    messages=messages,
-                    non_default_params=non_default_params,
-                    prompt_id=prompt_id,
-                    prompt_variables=prompt_variables,
-                    dynamic_callback_params=self.standard_callback_dynamic_params,
-                )
+            (
+                model,
+                messages,
+                non_default_params,
+            ) = custom_logger.get_chat_completion_prompt(
+                model=model,
+                messages=messages,
+                non_default_params=non_default_params,
+                prompt_id=prompt_id,
+                prompt_variables=prompt_variables,
+                dynamic_callback_params=self.standard_callback_dynamic_params,
             )
         self.messages = messages
         return model, messages, non_default_params
@@ -541,12 +542,11 @@ class Logging(LiteLLMLoggingBaseClass):
             model
         ):  # if model name was changes pre-call, overwrite the initial model call name with the new one
             self.model_call_details["model"] = model
-        self.model_call_details["litellm_params"]["api_base"] = (
-            self._get_masked_api_base(additional_args.get("api_base", ""))
-        )
+        self.model_call_details["litellm_params"][
+            "api_base"
+        ] = self._get_masked_api_base(additional_args.get("api_base", ""))
 
     def pre_call(self, input, api_key, model=None, additional_args={}):  # noqa: PLR0915
-
         # Log the exact input to the LLM API
         litellm.error_logs["PRE_CALL"] = locals()
         try:
@@ -568,19 +568,16 @@ class Logging(LiteLLMLoggingBaseClass):
                 self.log_raw_request_response is True
                 or log_raw_request_response is True
             ):
-
                 _litellm_params = self.model_call_details.get("litellm_params", {})
                 _metadata = _litellm_params.get("metadata", {}) or {}
                 try:
                     # [Non-blocking Extra Debug Information in metadata]
                     if turn_off_message_logging is True:
-
-                        _metadata["raw_request"] = (
-                            "redacted by litellm. \
+                        _metadata[
+                            "raw_request"
+                        ] = "redacted by litellm. \
                             'litellm.turn_off_message_logging=True'"
-                        )
                     else:
-
                         curl_command = self._get_request_curl_command(
                             api_base=additional_args.get("api_base", ""),
                             headers=additional_args.get("headers", {}),
@@ -590,33 +587,33 @@ class Logging(LiteLLMLoggingBaseClass):
 
                         _metadata["raw_request"] = str(curl_command)
                         # split up, so it's easier to parse in the UI
-                        self.model_call_details["raw_request_typed_dict"] = (
-                            RawRequestTypedDict(
-                                raw_request_api_base=str(
-                                    additional_args.get("api_base") or ""
-                                ),
-                                raw_request_body=self._get_raw_request_body(
-                                    additional_args.get("complete_input_dict", {})
-                                ),
-                                raw_request_headers=self._get_masked_headers(
-                                    additional_args.get("headers", {}) or {},
-                                    ignore_sensitive_headers=True,
-                                ),
-                                error=None,
-                            )
+                        self.model_call_details[
+                            "raw_request_typed_dict"
+                        ] = RawRequestTypedDict(
+                            raw_request_api_base=str(
+                                additional_args.get("api_base") or ""
+                            ),
+                            raw_request_body=self._get_raw_request_body(
+                                additional_args.get("complete_input_dict", {})
+                            ),
+                            raw_request_headers=self._get_masked_headers(
+                                additional_args.get("headers", {}) or {},
+                                ignore_sensitive_headers=True,
+                            ),
+                            error=None,
                         )
                 except Exception as e:
-                    self.model_call_details["raw_request_typed_dict"] = (
-                        RawRequestTypedDict(
-                            error=str(e),
-                        )
+                    self.model_call_details[
+                        "raw_request_typed_dict"
+                    ] = RawRequestTypedDict(
+                        error=str(e),
                     )
                     traceback.print_exc()
-                    _metadata["raw_request"] = (
-                        "Unable to Log \
+                    _metadata[
+                        "raw_request"
+                    ] = "Unable to Log \
                         raw request: {}".format(
-                            str(e)
-                        )
+                        str(e)
                     )
             if self.logger_fn and callable(self.logger_fn):
                 try:
@@ -941,9 +938,9 @@ class Logging(LiteLLMLoggingBaseClass):
             verbose_logger.debug(
                 f"response_cost_failure_debug_information: {debug_info}"
             )
-            self.model_call_details["response_cost_failure_debug_information"] = (
-                debug_info
-            )
+            self.model_call_details[
+                "response_cost_failure_debug_information"
+            ] = debug_info
             return None
 
         try:
@@ -968,9 +965,9 @@ class Logging(LiteLLMLoggingBaseClass):
             verbose_logger.debug(
                 f"response_cost_failure_debug_information: {debug_info}"
             )
-            self.model_call_details["response_cost_failure_debug_information"] = (
-                debug_info
-            )
+            self.model_call_details[
+                "response_cost_failure_debug_information"
+            ] = debug_info
 
         return None
 
@@ -995,7 +992,6 @@ class Logging(LiteLLMLoggingBaseClass):
     def should_run_callback(
         self, callback: litellm.CALLBACK_TYPES, litellm_params: dict, event_hook: str
     ) -> bool:
-
         if litellm.global_disable_no_log_param:
             return True
 
@@ -1027,9 +1023,9 @@ class Logging(LiteLLMLoggingBaseClass):
                 end_time = datetime.datetime.now()
             if self.completion_start_time is None:
                 self.completion_start_time = end_time
-                self.model_call_details["completion_start_time"] = (
-                    self.completion_start_time
-                )
+                self.model_call_details[
+                    "completion_start_time"
+                ] = self.completion_start_time
             self.model_call_details["log_event_type"] = "successful_api_call"
             self.model_call_details["end_time"] = end_time
             self.model_call_details["cache_hit"] = cache_hit
@@ -1083,39 +1079,39 @@ class Logging(LiteLLMLoggingBaseClass):
                             "response_cost"
                         ]
                     else:
-                        self.model_call_details["response_cost"] = (
-                            self._response_cost_calculator(result=result)
-                        )
+                        self.model_call_details[
+                            "response_cost"
+                        ] = self._response_cost_calculator(result=result)
                     ## STANDARDIZED LOGGING PAYLOAD
 
-                    self.model_call_details["standard_logging_object"] = (
-                        get_standard_logging_object_payload(
-                            kwargs=self.model_call_details,
-                            init_response_obj=result,
-                            start_time=start_time,
-                            end_time=end_time,
-                            logging_obj=self,
-                            status="success",
-                            standard_built_in_tools_params=self.standard_built_in_tools_params,
-                        )
+                    self.model_call_details[
+                        "standard_logging_object"
+                    ] = get_standard_logging_object_payload(
+                        kwargs=self.model_call_details,
+                        init_response_obj=result,
+                        start_time=start_time,
+                        end_time=end_time,
+                        logging_obj=self,
+                        status="success",
+                        standard_built_in_tools_params=self.standard_built_in_tools_params,
                     )
                 elif isinstance(result, dict):  # pass-through endpoints
                     ## STANDARDIZED LOGGING PAYLOAD
-                    self.model_call_details["standard_logging_object"] = (
-                        get_standard_logging_object_payload(
-                            kwargs=self.model_call_details,
-                            init_response_obj=result,
-                            start_time=start_time,
-                            end_time=end_time,
-                            logging_obj=self,
-                            status="success",
-                            standard_built_in_tools_params=self.standard_built_in_tools_params,
-                        )
+                    self.model_call_details[
+                        "standard_logging_object"
+                    ] = get_standard_logging_object_payload(
+                        kwargs=self.model_call_details,
+                        init_response_obj=result,
+                        start_time=start_time,
+                        end_time=end_time,
+                        logging_obj=self,
+                        status="success",
+                        standard_built_in_tools_params=self.standard_built_in_tools_params,
                     )
             elif standard_logging_object is not None:
-                self.model_call_details["standard_logging_object"] = (
-                    standard_logging_object
-                )
+                self.model_call_details[
+                    "standard_logging_object"
+                ] = standard_logging_object
             else:  # streaming chunks + image gen.
                 self.model_call_details["response_cost"] = None
 
@@ -1154,7 +1150,6 @@ class Logging(LiteLLMLoggingBaseClass):
             standard_logging_object=kwargs.get("standard_logging_object", None),
         )
         try:
-
             ## BUILD COMPLETE STREAMED RESPONSE
             complete_streaming_response: Optional[
                 Union[ModelResponse, TextCompletionResponse, ResponsesAPIResponse]
@@ -1172,23 +1167,23 @@ class Logging(LiteLLMLoggingBaseClass):
                 verbose_logger.debug(
                     "Logging Details LiteLLM-Success Call streaming complete"
                 )
-                self.model_call_details["complete_streaming_response"] = (
-                    complete_streaming_response
-                )
-                self.model_call_details["response_cost"] = (
-                    self._response_cost_calculator(result=complete_streaming_response)
-                )
+                self.model_call_details[
+                    "complete_streaming_response"
+                ] = complete_streaming_response
+                self.model_call_details[
+                    "response_cost"
+                ] = self._response_cost_calculator(result=complete_streaming_response)
                 ## STANDARDIZED LOGGING PAYLOAD
-                self.model_call_details["standard_logging_object"] = (
-                    get_standard_logging_object_payload(
-                        kwargs=self.model_call_details,
-                        init_response_obj=complete_streaming_response,
-                        start_time=start_time,
-                        end_time=end_time,
-                        logging_obj=self,
-                        status="success",
-                        standard_built_in_tools_params=self.standard_built_in_tools_params,
-                    )
+                self.model_call_details[
+                    "standard_logging_object"
+                ] = get_standard_logging_object_payload(
+                    kwargs=self.model_call_details,
+                    init_response_obj=complete_streaming_response,
+                    start_time=start_time,
+                    end_time=end_time,
+                    logging_obj=self,
+                    status="success",
+                    standard_built_in_tools_params=self.standard_built_in_tools_params,
                 )
             callbacks = self.get_combined_callback_list(
                 dynamic_success_callbacks=self.dynamic_success_callbacks,
@@ -1207,7 +1202,6 @@ class Logging(LiteLLMLoggingBaseClass):
             ## LOGGING HOOK ##
             for callback in callbacks:
                 if isinstance(callback, CustomLogger):
-
                     self.model_call_details, result = callback.logging_hook(
                         kwargs=self.model_call_details,
                         result=result,
@@ -1538,10 +1532,10 @@ class Logging(LiteLLMLoggingBaseClass):
                             )
                         else:
                             if self.stream and complete_streaming_response:
-                                self.model_call_details["complete_response"] = (
-                                    self.model_call_details.get(
-                                        "complete_streaming_response", {}
-                                    )
+                                self.model_call_details[
+                                    "complete_response"
+                                ] = self.model_call_details.get(
+                                    "complete_streaming_response", {}
                                 )
                                 result = self.model_call_details["complete_response"]
                             openMeterLogger.log_success_event(
@@ -1581,10 +1575,10 @@ class Logging(LiteLLMLoggingBaseClass):
                             )
                         else:
                             if self.stream and complete_streaming_response:
-                                self.model_call_details["complete_response"] = (
-                                    self.model_call_details.get(
-                                        "complete_streaming_response", {}
-                                    )
+                                self.model_call_details[
+                                    "complete_response"
+                                ] = self.model_call_details.get(
+                                    "complete_streaming_response", {}
                                 )
                                 result = self.model_call_details["complete_response"]
 
@@ -1659,7 +1653,6 @@ class Logging(LiteLLMLoggingBaseClass):
         if self.call_type == CallTypes.aretrieve_batch.value and isinstance(
             result, LiteLLMBatch
         ):
-
             response_cost, batch_usage, batch_models = await _handle_completed_batch(
                 batch=result, custom_llm_provider=self.custom_llm_provider
             )
@@ -1692,9 +1685,9 @@ class Logging(LiteLLMLoggingBaseClass):
         if complete_streaming_response is not None:
             print_verbose("Async success callbacks: Got a complete streaming response")
 
-            self.model_call_details["async_complete_streaming_response"] = (
-                complete_streaming_response
-            )
+            self.model_call_details[
+                "async_complete_streaming_response"
+            ] = complete_streaming_response
             try:
                 if self.model_call_details.get("cache_hit", False) is True:
                     self.model_call_details["response_cost"] = 0.0
@@ -1704,10 +1697,10 @@ class Logging(LiteLLMLoggingBaseClass):
                         model_call_details=self.model_call_details
                     )
                     # base_model defaults to None if not set on model_info
-                    self.model_call_details["response_cost"] = (
-                        self._response_cost_calculator(
-                            result=complete_streaming_response
-                        )
+                    self.model_call_details[
+                        "response_cost"
+                    ] = self._response_cost_calculator(
+                        result=complete_streaming_response
                     )
 
                 verbose_logger.debug(
@@ -1720,16 +1713,16 @@ class Logging(LiteLLMLoggingBaseClass):
                 self.model_call_details["response_cost"] = None
 
             ## STANDARDIZED LOGGING PAYLOAD
-            self.model_call_details["standard_logging_object"] = (
-                get_standard_logging_object_payload(
-                    kwargs=self.model_call_details,
-                    init_response_obj=complete_streaming_response,
-                    start_time=start_time,
-                    end_time=end_time,
-                    logging_obj=self,
-                    status="success",
-                    standard_built_in_tools_params=self.standard_built_in_tools_params,
-                )
+            self.model_call_details[
+                "standard_logging_object"
+            ] = get_standard_logging_object_payload(
+                kwargs=self.model_call_details,
+                init_response_obj=complete_streaming_response,
+                start_time=start_time,
+                end_time=end_time,
+                logging_obj=self,
+                status="success",
+                standard_built_in_tools_params=self.standard_built_in_tools_params,
             )
         callbacks = self.get_combined_callback_list(
             dynamic_success_callbacks=self.dynamic_async_success_callbacks,
@@ -1935,18 +1928,18 @@ class Logging(LiteLLMLoggingBaseClass):
 
         ## STANDARDIZED LOGGING PAYLOAD
 
-        self.model_call_details["standard_logging_object"] = (
-            get_standard_logging_object_payload(
-                kwargs=self.model_call_details,
-                init_response_obj={},
-                start_time=start_time,
-                end_time=end_time,
-                logging_obj=self,
-                status="failure",
-                error_str=str(exception),
-                original_exception=exception,
-                standard_built_in_tools_params=self.standard_built_in_tools_params,
-            )
+        self.model_call_details[
+            "standard_logging_object"
+        ] = get_standard_logging_object_payload(
+            kwargs=self.model_call_details,
+            init_response_obj={},
+            start_time=start_time,
+            end_time=end_time,
+            logging_obj=self,
+            status="failure",
+            error_str=str(exception),
+            original_exception=exception,
+            standard_built_in_tools_params=self.standard_built_in_tools_params,
         )
         return start_time, end_time
 
@@ -2084,7 +2077,6 @@ class Logging(LiteLLMLoggingBaseClass):
                         )
                         is not True
                     ):  # custom logger class
-
                         callback.log_failure_event(
                             start_time=start_time,
                             end_time=end_time,
@@ -2713,9 +2705,9 @@ def _init_custom_logger_compatible_class(  # noqa: PLR0915
                 endpoint=arize_config.endpoint,
             )
 
-            os.environ["OTEL_EXPORTER_OTLP_TRACES_HEADERS"] = (
-                f"space_key={arize_config.space_key},api_key={arize_config.api_key}"
-            )
+            os.environ[
+                "OTEL_EXPORTER_OTLP_TRACES_HEADERS"
+            ] = f"space_key={arize_config.space_key},api_key={arize_config.api_key}"
             for callback in _in_memory_loggers:
                 if (
                     isinstance(callback, ArizeLogger)
@@ -2739,9 +2731,9 @@ def _init_custom_logger_compatible_class(  # noqa: PLR0915
 
             # auth can be disabled on local deployments of arize phoenix
             if arize_phoenix_config.otlp_auth_headers is not None:
-                os.environ["OTEL_EXPORTER_OTLP_TRACES_HEADERS"] = (
-                    arize_phoenix_config.otlp_auth_headers
-                )
+                os.environ[
+                    "OTEL_EXPORTER_OTLP_TRACES_HEADERS"
+                ] = arize_phoenix_config.otlp_auth_headers
 
             for callback in _in_memory_loggers:
                 if (
@@ -2832,9 +2824,9 @@ def _init_custom_logger_compatible_class(  # noqa: PLR0915
                 exporter="otlp_http",
                 endpoint="https://langtrace.ai/api/trace",
             )
-            os.environ["OTEL_EXPORTER_OTLP_TRACES_HEADERS"] = (
-                f"api_key={os.getenv('LANGTRACE_API_KEY')}"
-            )
+            os.environ[
+                "OTEL_EXPORTER_OTLP_TRACES_HEADERS"
+            ] = f"api_key={os.getenv('LANGTRACE_API_KEY')}"
             for callback in _in_memory_loggers:
                 if (
                     isinstance(callback, OpenTelemetry)
@@ -3223,7 +3215,6 @@ class StandardLoggingPayloadSetup:
         custom_llm_provider: Optional[str],
         init_response_obj: Union[Any, BaseModel, dict],
     ) -> StandardLoggingModelInformation:
-
         model_cost_name = _select_model_name_for_cost_calc(
             model=None,
             completion_response=init_response_obj,  # type: ignore
@@ -3286,7 +3277,6 @@ class StandardLoggingPayloadSetup:
     def get_additional_headers(
         additiona_headers: Optional[dict],
     ) -> Optional[StandardLoggingAdditionalHeaders]:
-
         if additiona_headers is None:
             return None
 
@@ -3322,10 +3312,10 @@ class StandardLoggingPayloadSetup:
             for key in StandardLoggingHiddenParams.__annotations__.keys():
                 if key in hidden_params:
                     if key == "additional_headers":
-                        clean_hidden_params["additional_headers"] = (
-                            StandardLoggingPayloadSetup.get_additional_headers(
-                                hidden_params[key]
-                            )
+                        clean_hidden_params[
+                            "additional_headers"
+                        ] = StandardLoggingPayloadSetup.get_additional_headers(
+                            hidden_params[key]
                         )
                     else:
                         clean_hidden_params[key] = hidden_params[key]  # type: ignore
@@ -3463,12 +3453,14 @@ def get_standard_logging_object_payload(
         )
 
         # cleanup timestamps
-        start_time_float, end_time_float, completion_start_time_float = (
-            StandardLoggingPayloadSetup.cleanup_timestamps(
-                start_time=start_time,
-                end_time=end_time,
-                completion_start_time=completion_start_time,
-            )
+        (
+            start_time_float,
+            end_time_float,
+            completion_start_time_float,
+        ) = StandardLoggingPayloadSetup.cleanup_timestamps(
+            start_time=start_time,
+            end_time=end_time,
+            completion_start_time=completion_start_time,
         )
         response_time = StandardLoggingPayloadSetup.get_response_time(
             start_time_float=start_time_float,
@@ -3495,7 +3487,6 @@ def get_standard_logging_object_payload(
 
         saved_cache_cost: float = 0.0
         if cache_hit is True:
-
             id = f"{id}_cache_hit{time.time()}"  # do not duplicate the request id
             saved_cache_cost = (
                 logging_obj._response_cost_calculator(
@@ -3658,9 +3649,9 @@ def scrub_sensitive_keys_in_metadata(litellm_params: Optional[dict]):
     ):
         for k, v in metadata["user_api_key_metadata"].items():
             if k == "logging":  # prevent logging user logging keys
-                cleaned_user_api_key_metadata[k] = (
-                    "scrubbed_by_litellm_for_sensitive_keys"
-                )
+                cleaned_user_api_key_metadata[
+                    k
+                ] = "scrubbed_by_litellm_for_sensitive_keys"
             else:
                 cleaned_user_api_key_metadata[k] = v
 
diff --git a/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py b/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py
index d33af2a477..f3f4ce6ef4 100644
--- a/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py
+++ b/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py
@@ -258,14 +258,12 @@ def _extract_reasoning_content(message: dict) -> Tuple[Optional[str], Optional[s
 
 
 class LiteLLMResponseObjectHandler:
-
     @staticmethod
     def convert_to_image_response(
         response_object: dict,
         model_response_object: Optional[ImageResponse] = None,
         hidden_params: Optional[dict] = None,
     ) -> ImageResponse:
-
         response_object.update({"hidden_params": hidden_params})
 
         if model_response_object is None:
@@ -481,9 +479,9 @@ def convert_to_model_response_object(  # noqa: PLR0915
                         provider_specific_fields["thinking_blocks"] = thinking_blocks
 
                     if reasoning_content:
-                        provider_specific_fields["reasoning_content"] = (
-                            reasoning_content
-                        )
+                        provider_specific_fields[
+                            "reasoning_content"
+                        ] = reasoning_content
 
                     message = Message(
                         content=content,
diff --git a/litellm/litellm_core_utils/model_param_helper.py b/litellm/litellm_core_utils/model_param_helper.py
index b7d8fc19d1..c96b4a3f5b 100644
--- a/litellm/litellm_core_utils/model_param_helper.py
+++ b/litellm/litellm_core_utils/model_param_helper.py
@@ -17,7 +17,6 @@ from litellm.types.rerank import RerankRequest
 
 
 class ModelParamHelper:
-
     @staticmethod
     def get_standard_logging_model_parameters(
         model_parameters: dict,
diff --git a/litellm/litellm_core_utils/prompt_templates/common_utils.py b/litellm/litellm_core_utils/prompt_templates/common_utils.py
index c8745f5119..4170d3c1e1 100644
--- a/litellm/litellm_core_utils/prompt_templates/common_utils.py
+++ b/litellm/litellm_core_utils/prompt_templates/common_utils.py
@@ -257,7 +257,6 @@ def _insert_assistant_continue_message(
             and message.get("role") == "user"  # Current is user
             and messages[i + 1].get("role") == "user"
         ):  # Next is user
-
             # Insert assistant message
             continue_message = (
                 assistant_continue_message or DEFAULT_ASSISTANT_CONTINUE_MESSAGE
diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index 28e09d7ac8..3c89141b5e 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -1042,10 +1042,10 @@ def convert_to_gemini_tool_call_invoke(
         if tool_calls is not None:
             for tool in tool_calls:
                 if "function" in tool:
-                    gemini_function_call: Optional[VertexFunctionCall] = (
-                        _gemini_tool_call_invoke_helper(
-                            function_call_params=tool["function"]
-                        )
+                    gemini_function_call: Optional[
+                        VertexFunctionCall
+                    ] = _gemini_tool_call_invoke_helper(
+                        function_call_params=tool["function"]
                     )
                     if gemini_function_call is not None:
                         _parts_list.append(
@@ -1432,9 +1432,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                             )
 
                             if "cache_control" in _content_element:
-                                _anthropic_content_element["cache_control"] = (
-                                    _content_element["cache_control"]
-                                )
+                                _anthropic_content_element[
+                                    "cache_control"
+                                ] = _content_element["cache_control"]
                             user_content.append(_anthropic_content_element)
                         elif m.get("type", "") == "text":
                             m = cast(ChatCompletionTextObject, m)
@@ -1466,9 +1466,9 @@ def anthropic_messages_pt(  # noqa: PLR0915
                     )
 
                     if "cache_control" in _content_element:
-                        _anthropic_content_text_element["cache_control"] = (
-                            _content_element["cache_control"]
-                        )
+                        _anthropic_content_text_element[
+                            "cache_control"
+                        ] = _content_element["cache_control"]
 
                     user_content.append(_anthropic_content_text_element)
 
@@ -1533,7 +1533,6 @@ def anthropic_messages_pt(  # noqa: PLR0915
                     "content"
                 ]  # don't pass empty text blocks. anthropic api raises errors.
             ):
-
                 _anthropic_text_content_element = AnthropicMessagesTextParam(
                     type="text",
                     text=assistant_content_block["content"],
@@ -1569,7 +1568,6 @@ def anthropic_messages_pt(  # noqa: PLR0915
             msg_i += 1
 
         if assistant_content:
-
             new_messages.append({"role": "assistant", "content": assistant_content})
 
         if msg_i == init_msg_i:  # prevent infinite loops
@@ -2245,7 +2243,6 @@ class BedrockImageProcessor:
     @staticmethod
     async def get_image_details_async(image_url) -> Tuple[str, str]:
         try:
-
             client = get_async_httpx_client(
                 llm_provider=httpxSpecialProvider.PromptFactory,
                 params={"concurrent_limit": 1},
@@ -2612,7 +2609,6 @@ def get_user_message_block_or_continue_message(
         for item in modified_content_block:
             # Check if the list is empty
             if item["type"] == "text":
-
                 if not item["text"].strip():
                     # Replace empty text with continue message
                     _user_continue_message = ChatCompletionUserMessage(
@@ -3207,7 +3203,6 @@ def _bedrock_converse_messages_pt(  # noqa: PLR0915
         assistant_content: List[BedrockContentBlock] = []
         ## MERGE CONSECUTIVE ASSISTANT CONTENT ##
         while msg_i < len(messages) and messages[msg_i]["role"] == "assistant":
-
             assistant_message_block = get_assistant_message_block_or_continue_message(
                 message=messages[msg_i],
                 assistant_continue_message=assistant_continue_message,
@@ -3410,7 +3405,6 @@ def response_schema_prompt(model: str, response_schema: dict) -> str:
         {"role": "user", "content": "{}".format(response_schema)}
     ]
     if f"{model}/response_schema_prompt" in litellm.custom_prompt_dict:
-
         custom_prompt_details = litellm.custom_prompt_dict[
             f"{model}/response_schema_prompt"
         ]  # allow user to define custom response schema prompt by model
diff --git a/litellm/litellm_core_utils/realtime_streaming.py b/litellm/litellm_core_utils/realtime_streaming.py
index aebd049692..e84c720441 100644
--- a/litellm/litellm_core_utils/realtime_streaming.py
+++ b/litellm/litellm_core_utils/realtime_streaming.py
@@ -122,7 +122,6 @@ class RealTimeStreaming:
             pass
 
     async def bidirectional_forward(self):
-
         forward_task = asyncio.create_task(self.backend_to_client_send_messages())
         try:
             await self.client_ack_messages()
diff --git a/litellm/litellm_core_utils/redact_messages.py b/litellm/litellm_core_utils/redact_messages.py
index 50e0e0b575..a62031a9c9 100644
--- a/litellm/litellm_core_utils/redact_messages.py
+++ b/litellm/litellm_core_utils/redact_messages.py
@@ -135,9 +135,9 @@ def _get_turn_off_message_logging_from_dynamic_params(
 
     handles boolean and string values of `turn_off_message_logging`
     """
-    standard_callback_dynamic_params: Optional[StandardCallbackDynamicParams] = (
-        model_call_details.get("standard_callback_dynamic_params", None)
-    )
+    standard_callback_dynamic_params: Optional[
+        StandardCallbackDynamicParams
+    ] = model_call_details.get("standard_callback_dynamic_params", None)
     if standard_callback_dynamic_params:
         _turn_off_message_logging = standard_callback_dynamic_params.get(
             "turn_off_message_logging"
diff --git a/litellm/litellm_core_utils/sensitive_data_masker.py b/litellm/litellm_core_utils/sensitive_data_masker.py
index 7800e5304f..23b9ec32fc 100644
--- a/litellm/litellm_core_utils/sensitive_data_masker.py
+++ b/litellm/litellm_core_utils/sensitive_data_masker.py
@@ -1,4 +1,5 @@
 from typing import Any, Dict, Optional, Set
+
 from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH
 
 
@@ -40,7 +41,10 @@ class SensitiveDataMasker:
         return result
 
     def mask_dict(
-        self, data: Dict[str, Any], depth: int = 0, max_depth: int = DEFAULT_MAX_RECURSE_DEPTH
+        self,
+        data: Dict[str, Any],
+        depth: int = 0,
+        max_depth: int = DEFAULT_MAX_RECURSE_DEPTH,
     ) -> Dict[str, Any]:
         if depth >= max_depth:
             return data
diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index 7a5ee3e41e..1ca2bfe45e 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -104,7 +104,6 @@ class ChunkProcessor:
     def get_combined_tool_content(
         self, tool_call_chunks: List[Dict[str, Any]]
     ) -> List[ChatCompletionMessageToolCall]:
-
         argument_list: List[str] = []
         delta = tool_call_chunks[0]["choices"][0]["delta"]
         id = None
diff --git a/litellm/litellm_core_utils/streaming_handler.py b/litellm/litellm_core_utils/streaming_handler.py
index a11e5af12b..42106135cc 100644
--- a/litellm/litellm_core_utils/streaming_handler.py
+++ b/litellm/litellm_core_utils/streaming_handler.py
@@ -84,9 +84,9 @@ class CustomStreamWrapper:
 
         self.system_fingerprint: Optional[str] = None
         self.received_finish_reason: Optional[str] = None
-        self.intermittent_finish_reason: Optional[str] = (
-            None  # finish reasons that show up mid-stream
-        )
+        self.intermittent_finish_reason: Optional[
+            str
+        ] = None  # finish reasons that show up mid-stream
         self.special_tokens = [
             "<|assistant|>",
             "<|system|>",
@@ -814,7 +814,6 @@ class CustomStreamWrapper:
         model_response: ModelResponseStream,
         response_obj: Dict[str, Any],
     ):
-
         print_verbose(
             f"completion_obj: {completion_obj}, model_response.choices[0]: {model_response.choices[0]}, response_obj: {response_obj}"
         )
@@ -1008,7 +1007,6 @@ class CustomStreamWrapper:
                 self.custom_llm_provider
                 and self.custom_llm_provider in litellm._custom_providers
             ):
-
                 if self.received_finish_reason is not None:
                     if "provider_specific_fields" not in chunk:
                         raise StopIteration
@@ -1379,9 +1377,9 @@ class CustomStreamWrapper:
                             _json_delta = delta.model_dump()
                             print_verbose(f"_json_delta: {_json_delta}")
                             if "role" not in _json_delta or _json_delta["role"] is None:
-                                _json_delta["role"] = (
-                                    "assistant"  # mistral's api returns role as None
-                                )
+                                _json_delta[
+                                    "role"
+                                ] = "assistant"  # mistral's api returns role as None
                             if "tool_calls" in _json_delta and isinstance(
                                 _json_delta["tool_calls"], list
                             ):
@@ -1758,9 +1756,9 @@ class CustomStreamWrapper:
                         chunk = next(self.completion_stream)
                     if chunk is not None and chunk != b"":
                         print_verbose(f"PROCESSED CHUNK PRE CHUNK CREATOR: {chunk}")
-                        processed_chunk: Optional[ModelResponseStream] = (
-                            self.chunk_creator(chunk=chunk)
-                        )
+                        processed_chunk: Optional[
+                            ModelResponseStream
+                        ] = self.chunk_creator(chunk=chunk)
                         print_verbose(
                             f"PROCESSED CHUNK POST CHUNK CREATOR: {processed_chunk}"
                         )
diff --git a/litellm/llms/anthropic/chat/handler.py b/litellm/llms/anthropic/chat/handler.py
index f2c5f390d7..7625292e6e 100644
--- a/litellm/llms/anthropic/chat/handler.py
+++ b/litellm/llms/anthropic/chat/handler.py
@@ -290,7 +290,6 @@ class AnthropicChatCompletion(BaseLLM):
         headers={},
         client=None,
     ):
-
         optional_params = copy.deepcopy(optional_params)
         stream = optional_params.pop("stream", None)
         json_mode: bool = optional_params.pop("json_mode", False)
@@ -491,7 +490,6 @@ class ModelResponseIterator:
     def _handle_usage(
         self, anthropic_usage_chunk: Union[dict, UsageDelta]
     ) -> AnthropicChatCompletionUsageBlock:
-
         usage_block = AnthropicChatCompletionUsageBlock(
             prompt_tokens=anthropic_usage_chunk.get("input_tokens", 0),
             completion_tokens=anthropic_usage_chunk.get("output_tokens", 0),
@@ -515,7 +513,9 @@ class ModelResponseIterator:
 
         return usage_block
 
-    def _content_block_delta_helper(self, chunk: dict) -> Tuple[
+    def _content_block_delta_helper(
+        self, chunk: dict
+    ) -> Tuple[
         str,
         Optional[ChatCompletionToolCallChunk],
         List[ChatCompletionThinkingBlock],
@@ -592,9 +592,12 @@ class ModelResponseIterator:
                 Anthropic content chunk
                 chunk = {'type': 'content_block_delta', 'index': 0, 'delta': {'type': 'text_delta', 'text': 'Hello'}}
                 """
-                text, tool_use, thinking_blocks, provider_specific_fields = (
-                    self._content_block_delta_helper(chunk=chunk)
-                )
+                (
+                    text,
+                    tool_use,
+                    thinking_blocks,
+                    provider_specific_fields,
+                ) = self._content_block_delta_helper(chunk=chunk)
                 if thinking_blocks:
                     reasoning_content = self._handle_reasoning_content(
                         thinking_blocks=thinking_blocks
@@ -620,7 +623,6 @@ class ModelResponseIterator:
                         "index": self.tool_index,
                     }
             elif type_chunk == "content_block_stop":
-
                 ContentBlockStop(**chunk)  # type: ignore
                 # check if tool call content block
                 is_empty = self.check_empty_tool_call_args()
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index dcbc6775dc..a8f36cdcad 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -49,9 +49,9 @@ class AnthropicConfig(BaseConfig):
     to pass metadata to anthropic, it's {"user_id": "any-relevant-information"}
     """
 
-    max_tokens: Optional[int] = (
-        4096  # anthropic requires a default value (Opus, Sonnet, and Haiku have the same default)
-    )
+    max_tokens: Optional[
+        int
+    ] = 4096  # anthropic requires a default value (Opus, Sonnet, and Haiku have the same default)
     stop_sequences: Optional[list] = None
     temperature: Optional[int] = None
     top_p: Optional[int] = None
@@ -104,7 +104,6 @@ class AnthropicConfig(BaseConfig):
     def get_json_schema_from_pydantic_object(
         self, response_format: Union[Any, Dict, None]
     ) -> Optional[dict]:
-
         return type_to_response_format_param(
             response_format, ref_template="/$defs/{model}"
         )  # Relevant issue: https://github.com/BerriAI/litellm/issues/7755
@@ -125,7 +124,6 @@ class AnthropicConfig(BaseConfig):
         is_vertex_request: bool = False,
         user_anthropic_beta_headers: Optional[List[str]] = None,
     ) -> dict:
-
         betas = set()
         if prompt_caching_set:
             betas.add("prompt-caching-2024-07-31")
@@ -300,7 +298,6 @@ class AnthropicConfig(BaseConfig):
         model: str,
         drop_params: bool,
     ) -> dict:
-
         is_thinking_enabled = self.is_thinking_enabled(
             non_default_params=non_default_params
         )
@@ -321,11 +318,11 @@ class AnthropicConfig(BaseConfig):
                     optional_params=optional_params, tools=tool_value
                 )
             if param == "tool_choice" or param == "parallel_tool_calls":
-                _tool_choice: Optional[AnthropicMessagesToolChoice] = (
-                    self._map_tool_choice(
-                        tool_choice=non_default_params.get("tool_choice"),
-                        parallel_tool_use=non_default_params.get("parallel_tool_calls"),
-                    )
+                _tool_choice: Optional[
+                    AnthropicMessagesToolChoice
+                ] = self._map_tool_choice(
+                    tool_choice=non_default_params.get("tool_choice"),
+                    parallel_tool_use=non_default_params.get("parallel_tool_calls"),
                 )
 
                 if _tool_choice is not None:
@@ -341,7 +338,6 @@ class AnthropicConfig(BaseConfig):
             if param == "top_p":
                 optional_params["top_p"] = value
             if param == "response_format" and isinstance(value, dict):
-
                 ignore_response_format_types = ["text"]
                 if value["type"] in ignore_response_format_types:  # value is a no-op
                     continue
@@ -470,9 +466,9 @@ class AnthropicConfig(BaseConfig):
                         text=system_message_block["content"],
                     )
                     if "cache_control" in system_message_block:
-                        anthropic_system_message_content["cache_control"] = (
-                            system_message_block["cache_control"]
-                        )
+                        anthropic_system_message_content[
+                            "cache_control"
+                        ] = system_message_block["cache_control"]
                     anthropic_system_message_list.append(
                         anthropic_system_message_content
                     )
@@ -486,9 +482,9 @@ class AnthropicConfig(BaseConfig):
                             )
                         )
                         if "cache_control" in _content:
-                            anthropic_system_message_content["cache_control"] = (
-                                _content["cache_control"]
-                            )
+                            anthropic_system_message_content[
+                                "cache_control"
+                            ] = _content["cache_control"]
 
                         anthropic_system_message_list.append(
                             anthropic_system_message_content
@@ -597,7 +593,9 @@ class AnthropicConfig(BaseConfig):
                 )
         return _message
 
-    def extract_response_content(self, completion_response: dict) -> Tuple[
+    def extract_response_content(
+        self, completion_response: dict
+    ) -> Tuple[
         str,
         Optional[List[Any]],
         Optional[List[ChatCompletionThinkingBlock]],
@@ -693,9 +691,13 @@ class AnthropicConfig(BaseConfig):
             reasoning_content: Optional[str] = None
             tool_calls: List[ChatCompletionToolCallChunk] = []
 
-            text_content, citations, thinking_blocks, reasoning_content, tool_calls = (
-                self.extract_response_content(completion_response=completion_response)
-            )
+            (
+                text_content,
+                citations,
+                thinking_blocks,
+                reasoning_content,
+                tool_calls,
+            ) = self.extract_response_content(completion_response=completion_response)
 
             _message = litellm.Message(
                 tool_calls=tool_calls,
diff --git a/litellm/llms/anthropic/completion/transformation.py b/litellm/llms/anthropic/completion/transformation.py
index 7a260b6f94..5cbc0b5fd8 100644
--- a/litellm/llms/anthropic/completion/transformation.py
+++ b/litellm/llms/anthropic/completion/transformation.py
@@ -54,9 +54,9 @@ class AnthropicTextConfig(BaseConfig):
     to pass metadata to anthropic, it's {"user_id": "any-relevant-information"}
     """
 
-    max_tokens_to_sample: Optional[int] = (
-        litellm.max_tokens
-    )  # anthropic requires a default
+    max_tokens_to_sample: Optional[
+        int
+    ] = litellm.max_tokens  # anthropic requires a default
     stop_sequences: Optional[list] = None
     temperature: Optional[int] = None
     top_p: Optional[int] = None
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
index a7dfff74d9..099a2acdae 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
@@ -25,7 +25,6 @@ from litellm.utils import ProviderConfigManager, client
 
 
 class AnthropicMessagesHandler:
-
     @staticmethod
     async def _handle_anthropic_streaming(
         response: httpx.Response,
@@ -74,19 +73,22 @@ async def anthropic_messages(
     """
     # Use provided client or create a new one
     optional_params = GenericLiteLLMParams(**kwargs)
-    model, _custom_llm_provider, dynamic_api_key, dynamic_api_base = (
-        litellm.get_llm_provider(
-            model=model,
-            custom_llm_provider=custom_llm_provider,
-            api_base=optional_params.api_base,
-            api_key=optional_params.api_key,
-        )
+    (
+        model,
+        _custom_llm_provider,
+        dynamic_api_key,
+        dynamic_api_base,
+    ) = litellm.get_llm_provider(
+        model=model,
+        custom_llm_provider=custom_llm_provider,
+        api_base=optional_params.api_base,
+        api_key=optional_params.api_key,
     )
-    anthropic_messages_provider_config: Optional[BaseAnthropicMessagesConfig] = (
-        ProviderConfigManager.get_provider_anthropic_messages_config(
-            model=model,
-            provider=litellm.LlmProviders(_custom_llm_provider),
-        )
+    anthropic_messages_provider_config: Optional[
+        BaseAnthropicMessagesConfig
+    ] = ProviderConfigManager.get_provider_anthropic_messages_config(
+        model=model,
+        provider=litellm.LlmProviders(_custom_llm_provider),
     )
     if anthropic_messages_provider_config is None:
         raise ValueError(
diff --git a/litellm/llms/azure/azure.py b/litellm/llms/azure/azure.py
index 03c5cc09eb..aed813fdab 100644
--- a/litellm/llms/azure/azure.py
+++ b/litellm/llms/azure/azure.py
@@ -654,7 +654,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
     ) -> EmbeddingResponse:
         response = None
         try:
-
             openai_aclient = self.get_azure_openai_client(
                 api_version=api_version,
                 api_base=api_base,
@@ -835,7 +834,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
                 "2023-10-01-preview",
             ]
         ):  # CREATE + POLL for azure dall-e-2 calls
-
             api_base = modify_url(
                 original_url=api_base, new_path="/openai/images/generations:submit"
             )
@@ -867,7 +865,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
                 )
             while response.json()["status"] not in ["succeeded", "failed"]:
                 if time.time() - start_time > timeout_secs:
-
                     raise AzureOpenAIError(
                         status_code=408, message="Operation polling timed out."
                     )
@@ -935,7 +932,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
                 "2023-10-01-preview",
             ]
         ):  # CREATE + POLL for azure dall-e-2 calls
-
             api_base = modify_url(
                 original_url=api_base, new_path="/openai/images/generations:submit"
             )
@@ -1199,7 +1195,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
         client=None,
         litellm_params: Optional[dict] = None,
     ) -> HttpxBinaryResponseContent:
-
         max_retries = optional_params.pop("max_retries", 2)
 
         if aspeech is not None and aspeech is True:
@@ -1253,7 +1248,6 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM):
         client=None,
         litellm_params: Optional[dict] = None,
     ) -> HttpxBinaryResponseContent:
-
         azure_client: AsyncAzureOpenAI = self.get_azure_openai_client(
             api_base=api_base,
             api_version=api_version,
diff --git a/litellm/llms/azure/batches/handler.py b/litellm/llms/azure/batches/handler.py
index 1b93c526d5..7fc6388ba8 100644
--- a/litellm/llms/azure/batches/handler.py
+++ b/litellm/llms/azure/batches/handler.py
@@ -50,15 +50,15 @@ class AzureBatchesAPI(BaseAzureLLM):
         client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
         litellm_params: Optional[dict] = None,
     ) -> Union[LiteLLMBatch, Coroutine[Any, Any, LiteLLMBatch]]:
-        azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-                litellm_params=litellm_params or {},
-            )
+        azure_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
+            litellm_params=litellm_params or {},
         )
         if azure_client is None:
             raise ValueError(
@@ -96,15 +96,15 @@ class AzureBatchesAPI(BaseAzureLLM):
         client: Optional[AzureOpenAI] = None,
         litellm_params: Optional[dict] = None,
     ):
-        azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-                litellm_params=litellm_params or {},
-            )
+        azure_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
+            litellm_params=litellm_params or {},
         )
         if azure_client is None:
             raise ValueError(
@@ -144,15 +144,15 @@ class AzureBatchesAPI(BaseAzureLLM):
         client: Optional[AzureOpenAI] = None,
         litellm_params: Optional[dict] = None,
     ):
-        azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-                litellm_params=litellm_params or {},
-            )
+        azure_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
+            litellm_params=litellm_params or {},
         )
         if azure_client is None:
             raise ValueError(
@@ -183,15 +183,15 @@ class AzureBatchesAPI(BaseAzureLLM):
         client: Optional[AzureOpenAI] = None,
         litellm_params: Optional[dict] = None,
     ):
-        azure_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-                litellm_params=litellm_params or {},
-            )
+        azure_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
+            litellm_params=litellm_params or {},
         )
         if azure_client is None:
             raise ValueError(
diff --git a/litellm/llms/azure/common_utils.py b/litellm/llms/azure/common_utils.py
index 71092c8b99..5d61557c21 100644
--- a/litellm/llms/azure/common_utils.py
+++ b/litellm/llms/azure/common_utils.py
@@ -306,7 +306,6 @@ class BaseAzureLLM(BaseOpenAILLM):
         api_version: Optional[str],
         is_async: bool,
     ) -> dict:
-
         azure_ad_token_provider: Optional[Callable[[], str]] = None
         # If we have api_key, then we have higher priority
         azure_ad_token = litellm_params.get("azure_ad_token")
diff --git a/litellm/llms/azure/files/handler.py b/litellm/llms/azure/files/handler.py
index d45ac9a315..98407d05d5 100644
--- a/litellm/llms/azure/files/handler.py
+++ b/litellm/llms/azure/files/handler.py
@@ -46,16 +46,15 @@ class AzureOpenAIFilesAPI(BaseAzureLLM):
         client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
         litellm_params: Optional[dict] = None,
     ) -> Union[FileObject, Coroutine[Any, Any, FileObject]]:
-
-        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                litellm_params=litellm_params or {},
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-            )
+        openai_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            litellm_params=litellm_params or {},
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
         )
         if openai_client is None:
             raise ValueError(
@@ -95,15 +94,15 @@ class AzureOpenAIFilesAPI(BaseAzureLLM):
     ) -> Union[
         HttpxBinaryResponseContent, Coroutine[Any, Any, HttpxBinaryResponseContent]
     ]:
-        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                litellm_params=litellm_params or {},
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-            )
+        openai_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            litellm_params=litellm_params or {},
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
         )
         if openai_client is None:
             raise ValueError(
@@ -145,15 +144,15 @@ class AzureOpenAIFilesAPI(BaseAzureLLM):
         client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
         litellm_params: Optional[dict] = None,
     ):
-        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                litellm_params=litellm_params or {},
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-            )
+        openai_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            litellm_params=litellm_params or {},
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
         )
         if openai_client is None:
             raise ValueError(
@@ -197,15 +196,15 @@ class AzureOpenAIFilesAPI(BaseAzureLLM):
         client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
         litellm_params: Optional[dict] = None,
     ):
-        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                litellm_params=litellm_params or {},
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-            )
+        openai_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            litellm_params=litellm_params or {},
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
         )
         if openai_client is None:
             raise ValueError(
@@ -251,15 +250,15 @@ class AzureOpenAIFilesAPI(BaseAzureLLM):
         client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
         litellm_params: Optional[dict] = None,
     ):
-        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
-            self.get_azure_openai_client(
-                litellm_params=litellm_params or {},
-                api_key=api_key,
-                api_base=api_base,
-                api_version=api_version,
-                client=client,
-                _is_async=_is_async,
-            )
+        openai_client: Optional[
+            Union[AzureOpenAI, AsyncAzureOpenAI]
+        ] = self.get_azure_openai_client(
+            litellm_params=litellm_params or {},
+            api_key=api_key,
+            api_base=api_base,
+            api_version=api_version,
+            client=client,
+            _is_async=_is_async,
         )
         if openai_client is None:
             raise ValueError(
diff --git a/litellm/llms/azure/fine_tuning/handler.py b/litellm/llms/azure/fine_tuning/handler.py
index 3d7cc336fb..429b834989 100644
--- a/litellm/llms/azure/fine_tuning/handler.py
+++ b/litellm/llms/azure/fine_tuning/handler.py
@@ -25,14 +25,7 @@ class AzureOpenAIFineTuningAPI(OpenAIFineTuningAPI, BaseAzureLLM):
         _is_async: bool = False,
         api_version: Optional[str] = None,
         litellm_params: Optional[dict] = None,
-    ) -> Optional[
-        Union[
-            OpenAI,
-            AsyncOpenAI,
-            AzureOpenAI,
-            AsyncAzureOpenAI,
-        ]
-    ]:
+    ) -> Optional[Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI,]]:
         # Override to use Azure-specific client initialization
         if isinstance(client, OpenAI) or isinstance(client, AsyncOpenAI):
             client = None
diff --git a/litellm/llms/azure_ai/chat/transformation.py b/litellm/llms/azure_ai/chat/transformation.py
index 154f345537..a1fd24efa1 100644
--- a/litellm/llms/azure_ai/chat/transformation.py
+++ b/litellm/llms/azure_ai/chat/transformation.py
@@ -145,7 +145,6 @@ class AzureAIStudioConfig(OpenAIConfig):
             2. If message contains an image or audio, send as is (user-intended)
         """
         for message in messages:
-
             # Do nothing if the message contains an image or audio
             if _audio_or_image_in_message_content(message):
                 continue
diff --git a/litellm/llms/azure_ai/embed/cohere_transformation.py b/litellm/llms/azure_ai/embed/cohere_transformation.py
index 38b0dbbe23..64433c21b6 100644
--- a/litellm/llms/azure_ai/embed/cohere_transformation.py
+++ b/litellm/llms/azure_ai/embed/cohere_transformation.py
@@ -22,7 +22,6 @@ class AzureAICohereConfig:
         pass
 
     def _map_azure_model_group(self, model: str) -> str:
-
         if model == "offer-cohere-embed-multili-paygo":
             return "Cohere-embed-v3-multilingual"
         elif model == "offer-cohere-embed-english-paygo":
diff --git a/litellm/llms/azure_ai/embed/handler.py b/litellm/llms/azure_ai/embed/handler.py
index f33c979ca2..da39c5f3b8 100644
--- a/litellm/llms/azure_ai/embed/handler.py
+++ b/litellm/llms/azure_ai/embed/handler.py
@@ -17,7 +17,6 @@ from .cohere_transformation import AzureAICohereConfig
 
 
 class AzureAIEmbedding(OpenAIChatCompletion):
-
     def _process_response(
         self,
         image_embedding_responses: Optional[List],
@@ -145,7 +144,6 @@ class AzureAIEmbedding(OpenAIChatCompletion):
         api_base: Optional[str] = None,
         client=None,
     ) -> EmbeddingResponse:
-
         (
             image_embeddings_request,
             v1_embeddings_request,
diff --git a/litellm/llms/azure_ai/rerank/transformation.py b/litellm/llms/azure_ai/rerank/transformation.py
index 842511f30d..4465e0d70a 100644
--- a/litellm/llms/azure_ai/rerank/transformation.py
+++ b/litellm/llms/azure_ai/rerank/transformation.py
@@ -17,6 +17,7 @@ class AzureAIRerankConfig(CohereRerankConfig):
     """
     Azure AI Rerank - Follows the same Spec as Cohere Rerank
     """
+
     def get_complete_url(self, api_base: Optional[str], model: str) -> str:
         if api_base is None:
             raise ValueError(
diff --git a/litellm/llms/base.py b/litellm/llms/base.py
index deced222ca..abc314bba0 100644
--- a/litellm/llms/base.py
+++ b/litellm/llms/base.py
@@ -9,7 +9,6 @@ from litellm.types.utils import ModelResponse, TextCompletionResponse
 
 
 class BaseLLM:
-
     _client_session: Optional[httpx.Client] = None
 
     def process_response(
diff --git a/litellm/llms/base_llm/chat/transformation.py b/litellm/llms/base_llm/chat/transformation.py
index 45ea06b9e4..b4b120776c 100644
--- a/litellm/llms/base_llm/chat/transformation.py
+++ b/litellm/llms/base_llm/chat/transformation.py
@@ -218,7 +218,6 @@ class BaseConfig(ABC):
             json_schema = value["json_schema"]["schema"]
 
         if json_schema and not is_response_format_supported:
-
             _tool_choice = ChatCompletionToolChoiceObjectParam(
                 type="function",
                 function=ChatCompletionToolChoiceFunctionParam(
diff --git a/litellm/llms/base_llm/responses/transformation.py b/litellm/llms/base_llm/responses/transformation.py
index 29555c55da..e98a579845 100644
--- a/litellm/llms/base_llm/responses/transformation.py
+++ b/litellm/llms/base_llm/responses/transformation.py
@@ -58,7 +58,6 @@ class BaseResponsesAPIConfig(ABC):
         model: str,
         drop_params: bool,
     ) -> Dict:
-
         pass
 
     @abstractmethod
diff --git a/litellm/llms/bedrock/chat/converse_handler.py b/litellm/llms/bedrock/chat/converse_handler.py
index a4230177b5..7f529c637a 100644
--- a/litellm/llms/bedrock/chat/converse_handler.py
+++ b/litellm/llms/bedrock/chat/converse_handler.py
@@ -81,7 +81,6 @@ def make_sync_call(
 
 
 class BedrockConverseLLM(BaseAWSLLM):
-
     def __init__(self) -> None:
         super().__init__()
 
@@ -114,7 +113,6 @@ class BedrockConverseLLM(BaseAWSLLM):
         fake_stream: bool = False,
         json_mode: Optional[bool] = False,
     ) -> CustomStreamWrapper:
-
         request_data = await litellm.AmazonConverseConfig()._async_transform_request(
             model=model,
             messages=messages,
@@ -179,7 +177,6 @@ class BedrockConverseLLM(BaseAWSLLM):
         headers: dict = {},
         client: Optional[AsyncHTTPHandler] = None,
     ) -> Union[ModelResponse, CustomStreamWrapper]:
-
         request_data = await litellm.AmazonConverseConfig()._async_transform_request(
             model=model,
             messages=messages,
@@ -265,7 +262,6 @@ class BedrockConverseLLM(BaseAWSLLM):
         extra_headers: Optional[dict] = None,
         client: Optional[Union[AsyncHTTPHandler, HTTPHandler]] = None,
     ):
-
         ## SETUP ##
         stream = optional_params.pop("stream", None)
         unencoded_model_id = optional_params.pop("model_id", None)
@@ -301,9 +297,9 @@ class BedrockConverseLLM(BaseAWSLLM):
         aws_sts_endpoint = optional_params.pop("aws_sts_endpoint", None)
         optional_params.pop("aws_region_name", None)
 
-        litellm_params["aws_region_name"] = (
-            aws_region_name  # [DO NOT DELETE] important for async calls
-        )
+        litellm_params[
+            "aws_region_name"
+        ] = aws_region_name  # [DO NOT DELETE] important for async calls
 
         credentials: Credentials = self.get_credentials(
             aws_access_key_id=aws_access_key_id,
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index ced9c469b3..05386c62b5 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -223,7 +223,6 @@ class AmazonConverseConfig(BaseConfig):
         )
         for param, value in non_default_params.items():
             if param == "response_format" and isinstance(value, dict):
-
                 ignore_response_format_types = ["text"]
                 if value["type"] in ignore_response_format_types:  # value is a no-op
                     continue
@@ -715,9 +714,9 @@ class AmazonConverseConfig(BaseConfig):
         chat_completion_message: ChatCompletionResponseMessage = {"role": "assistant"}
         content_str = ""
         tools: List[ChatCompletionToolCallChunk] = []
-        reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]] = (
-            None
-        )
+        reasoningContentBlocks: Optional[
+            List[BedrockConverseReasoningContentBlock]
+        ] = None
 
         if message is not None:
             for idx, content in enumerate(message["content"]):
@@ -727,7 +726,6 @@ class AmazonConverseConfig(BaseConfig):
                 if "text" in content:
                     content_str += content["text"]
                 if "toolUse" in content:
-
                     ## check tool name was formatted by litellm
                     _response_tool_name = content["toolUse"]["name"]
                     response_tool_name = get_bedrock_tool_name(
@@ -754,12 +752,12 @@ class AmazonConverseConfig(BaseConfig):
             chat_completion_message["provider_specific_fields"] = {
                 "reasoningContentBlocks": reasoningContentBlocks,
             }
-            chat_completion_message["reasoning_content"] = (
-                self._transform_reasoning_content(reasoningContentBlocks)
-            )
-            chat_completion_message["thinking_blocks"] = (
-                self._transform_thinking_blocks(reasoningContentBlocks)
-            )
+            chat_completion_message[
+                "reasoning_content"
+            ] = self._transform_reasoning_content(reasoningContentBlocks)
+            chat_completion_message[
+                "thinking_blocks"
+            ] = self._transform_thinking_blocks(reasoningContentBlocks)
         chat_completion_message["content"] = content_str
         if json_mode is True and tools is not None and len(tools) == 1:
             # to support 'json_schema' logic on bedrock models
diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py
index 5b02fd3158..09bdd63572 100644
--- a/litellm/llms/bedrock/chat/invoke_handler.py
+++ b/litellm/llms/bedrock/chat/invoke_handler.py
@@ -496,9 +496,9 @@ class BedrockLLM(BaseAWSLLM):
                             content=None,
                         )
                         model_response.choices[0].message = _message  # type: ignore
-                        model_response._hidden_params["original_response"] = (
-                            outputText  # allow user to access raw anthropic tool calling response
-                        )
+                        model_response._hidden_params[
+                            "original_response"
+                        ] = outputText  # allow user to access raw anthropic tool calling response
                     if (
                         _is_function_call is True
                         and stream is not None
@@ -806,9 +806,9 @@ class BedrockLLM(BaseAWSLLM):
                     ):  # completion(top_k=3) > anthropic_config(top_k=3) <- allows for dynamic variables to be passed in
                         inference_params[k] = v
                 if stream is True:
-                    inference_params["stream"] = (
-                        True  # cohere requires stream = True in inference params
-                    )
+                    inference_params[
+                        "stream"
+                    ] = True  # cohere requires stream = True in inference params
                 data = json.dumps({"prompt": prompt, **inference_params})
         elif provider == "anthropic":
             if model.startswith("anthropic.claude-3"):
@@ -1205,7 +1205,6 @@ class BedrockLLM(BaseAWSLLM):
 def get_response_stream_shape():
     global _response_stream_shape_cache
     if _response_stream_shape_cache is None:
-
         from botocore.loaders import Loader
         from botocore.model import ServiceModel
 
@@ -1539,7 +1538,6 @@ class AmazonDeepSeekR1StreamDecoder(AWSEventStreamDecoder):
         model: str,
         sync_stream: bool,
     ) -> None:
-
         super().__init__(model=model)
         from litellm.llms.bedrock.chat.invoke_transformations.amazon_deepseek_transformation import (
             AmazonDeepseekR1ResponseIterator,
diff --git a/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py b/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
index 133eb659df..d1212705d8 100644
--- a/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
+++ b/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
@@ -225,9 +225,9 @@ class AmazonInvokeConfig(BaseConfig, BaseAWSLLM):
                     ):  # completion(top_k=3) > anthropic_config(top_k=3) <- allows for dynamic variables to be passed in
                         inference_params[k] = v
                 if stream is True:
-                    inference_params["stream"] = (
-                        True  # cohere requires stream = True in inference params
-                    )
+                    inference_params[
+                        "stream"
+                    ] = True  # cohere requires stream = True in inference params
                 request_data = {"prompt": prompt, **inference_params}
         elif provider == "anthropic":
             return litellm.AmazonAnthropicClaude3Config().transform_request(
@@ -311,7 +311,6 @@ class AmazonInvokeConfig(BaseConfig, BaseAWSLLM):
         api_key: Optional[str] = None,
         json_mode: Optional[bool] = None,
     ) -> ModelResponse:
-
         try:
             completion_response = raw_response.json()
         except Exception:
diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py
index 4677a579ed..f4a1170660 100644
--- a/litellm/llms/bedrock/common_utils.py
+++ b/litellm/llms/bedrock/common_utils.py
@@ -314,7 +314,6 @@ def get_bedrock_tool_name(response_tool_name: str) -> str:
 
 
 class BedrockModelInfo(BaseLLMModelInfo):
-
     global_config = AmazonBedrockGlobalConfig()
     all_global_regions = global_config.get_all_regions()
 
diff --git a/litellm/llms/bedrock/embed/amazon_titan_multimodal_transformation.py b/litellm/llms/bedrock/embed/amazon_titan_multimodal_transformation.py
index 6c1147f24a..338029adc3 100644
--- a/litellm/llms/bedrock/embed/amazon_titan_multimodal_transformation.py
+++ b/litellm/llms/bedrock/embed/amazon_titan_multimodal_transformation.py
@@ -33,9 +33,9 @@ class AmazonTitanMultimodalEmbeddingG1Config:
     ) -> dict:
         for k, v in non_default_params.items():
             if k == "dimensions":
-                optional_params["embeddingConfig"] = (
-                    AmazonTitanMultimodalEmbeddingConfig(outputEmbeddingLength=v)
-                )
+                optional_params[
+                    "embeddingConfig"
+                ] = AmazonTitanMultimodalEmbeddingConfig(outputEmbeddingLength=v)
         return optional_params
 
     def _transform_request(
@@ -58,7 +58,6 @@ class AmazonTitanMultimodalEmbeddingG1Config:
     def _transform_response(
         self, response_list: List[dict], model: str
     ) -> EmbeddingResponse:
-
         total_prompt_tokens = 0
         transformed_responses: List[Embedding] = []
         for index, response in enumerate(response_list):
diff --git a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
index 33249f9af8..b331dd1b1d 100644
--- a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
+++ b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
@@ -1,12 +1,16 @@
 import types
-from typing import List, Optional
+from typing import Any, Dict, List, Optional
 
 from openai.types.image import Image
 
 from litellm.types.llms.bedrock import (
-    AmazonNovaCanvasTextToImageRequest, AmazonNovaCanvasTextToImageResponse,
-    AmazonNovaCanvasTextToImageParams, AmazonNovaCanvasRequestBase, AmazonNovaCanvasColorGuidedGenerationParams,
+    AmazonNovaCanvasColorGuidedGenerationParams,
     AmazonNovaCanvasColorGuidedRequest,
+    AmazonNovaCanvasImageGenerationConfig,
+    AmazonNovaCanvasRequestBase,
+    AmazonNovaCanvasTextToImageParams,
+    AmazonNovaCanvasTextToImageRequest,
+    AmazonNovaCanvasTextToImageResponse,
 )
 from litellm.types.utils import ImageResponse
 
@@ -23,7 +27,7 @@ class AmazonNovaCanvasConfig:
             k: v
             for k, v in cls.__dict__.items()
             if not k.startswith("__")
-               and not isinstance(
+            and not isinstance(
                 v,
                 (
                     types.FunctionType,
@@ -32,13 +36,12 @@ class AmazonNovaCanvasConfig:
                     staticmethod,
                 ),
             )
-               and v is not None
+            and v is not None
         }
 
     @classmethod
     def get_supported_openai_params(cls, model: Optional[str] = None) -> List:
-        """
-        """
+        """ """
         return ["n", "size", "quality"]
 
     @classmethod
@@ -56,7 +59,7 @@ class AmazonNovaCanvasConfig:
 
     @classmethod
     def transform_request_body(
-            cls, text: str, optional_params: dict
+        cls, text: str, optional_params: dict
     ) -> AmazonNovaCanvasRequestBase:
         """
         Transform the request body for Amazon Nova Canvas model
@@ -65,18 +68,64 @@ class AmazonNovaCanvasConfig:
         image_generation_config = optional_params.pop("imageGenerationConfig", {})
         image_generation_config = {**image_generation_config, **optional_params}
         if task_type == "TEXT_IMAGE":
-            text_to_image_params = image_generation_config.pop("textToImageParams", {})
-            text_to_image_params = {"text" :text, **text_to_image_params}
-            text_to_image_params = AmazonNovaCanvasTextToImageParams(**text_to_image_params)
-            return AmazonNovaCanvasTextToImageRequest(textToImageParams=text_to_image_params, taskType=task_type,
-                                                      imageGenerationConfig=image_generation_config)
+            text_to_image_params: Dict[str, Any] = image_generation_config.pop(
+                "textToImageParams", {}
+            )
+            text_to_image_params = {"text": text, **text_to_image_params}
+            try:
+                text_to_image_params_typed = AmazonNovaCanvasTextToImageParams(
+                    **text_to_image_params  # type: ignore
+                )
+            except Exception as e:
+                raise ValueError(
+                    f"Error transforming text to image params: {e}. Got params: {text_to_image_params}, Expected params: {AmazonNovaCanvasTextToImageParams.__annotations__}"
+                )
+
+            try:
+                image_generation_config_typed = AmazonNovaCanvasImageGenerationConfig(
+                    **image_generation_config
+                )
+            except Exception as e:
+                raise ValueError(
+                    f"Error transforming image generation config: {e}. Got params: {image_generation_config}, Expected params: {AmazonNovaCanvasImageGenerationConfig.__annotations__}"
+                )
+
+            return AmazonNovaCanvasTextToImageRequest(
+                textToImageParams=text_to_image_params_typed,
+                taskType=task_type,
+                imageGenerationConfig=image_generation_config_typed,
+            )
         if task_type == "COLOR_GUIDED_GENERATION":
-            color_guided_generation_params = image_generation_config.pop("colorGuidedGenerationParams", {})
-            color_guided_generation_params = {"text": text, **color_guided_generation_params}
-            color_guided_generation_params = AmazonNovaCanvasColorGuidedGenerationParams(**color_guided_generation_params)
-            return AmazonNovaCanvasColorGuidedRequest(taskType=task_type,
-                                                      colorGuidedGenerationParams=color_guided_generation_params,
-                                                      imageGenerationConfig=image_generation_config)
+            color_guided_generation_params: Dict[
+                str, Any
+            ] = image_generation_config.pop("colorGuidedGenerationParams", {})
+            color_guided_generation_params = {
+                "text": text,
+                **color_guided_generation_params,
+            }
+            try:
+                color_guided_generation_params_typed = AmazonNovaCanvasColorGuidedGenerationParams(
+                    **color_guided_generation_params  # type: ignore
+                )
+            except Exception as e:
+                raise ValueError(
+                    f"Error transforming color guided generation params: {e}. Got params: {color_guided_generation_params}, Expected params: {AmazonNovaCanvasColorGuidedGenerationParams.__annotations__}"
+                )
+
+            try:
+                image_generation_config_typed = AmazonNovaCanvasImageGenerationConfig(
+                    **image_generation_config
+                )
+            except Exception as e:
+                raise ValueError(
+                    f"Error transforming image generation config: {e}. Got params: {image_generation_config}, Expected params: {AmazonNovaCanvasImageGenerationConfig.__annotations__}"
+                )
+
+            return AmazonNovaCanvasColorGuidedRequest(
+                taskType=task_type,
+                colorGuidedGenerationParams=color_guided_generation_params_typed,
+                imageGenerationConfig=image_generation_config_typed,
+            )
         raise NotImplementedError(f"Task type {task_type} is not supported")
 
     @classmethod
@@ -87,7 +136,9 @@ class AmazonNovaCanvasConfig:
         _size = non_default_params.get("size")
         if _size is not None:
             width, height = _size.split("x")
-            optional_params["width"], optional_params["height"] = int(width), int(height)
+            optional_params["width"], optional_params["height"] = int(width), int(
+                height
+            )
         if non_default_params.get("n") is not None:
             optional_params["numberOfImages"] = non_default_params.get("n")
         if non_default_params.get("quality") is not None:
@@ -99,7 +150,7 @@ class AmazonNovaCanvasConfig:
 
     @classmethod
     def transform_response_dict_to_openai_response(
-            cls, model_response: ImageResponse, response_dict: dict
+        cls, model_response: ImageResponse, response_dict: dict
     ) -> ImageResponse:
         """
         Transform the response dict to the OpenAI response
diff --git a/litellm/llms/bedrock/image/image_handler.py b/litellm/llms/bedrock/image/image_handler.py
index 8f7762e547..27258aa20f 100644
--- a/litellm/llms/bedrock/image/image_handler.py
+++ b/litellm/llms/bedrock/image/image_handler.py
@@ -267,7 +267,11 @@ class BedrockImageGeneration(BaseAWSLLM):
                     **inference_params,
                 }
         elif provider == "amazon":
-            return dict(litellm.AmazonNovaCanvasConfig.transform_request_body(text=prompt, optional_params=optional_params))
+            return dict(
+                litellm.AmazonNovaCanvasConfig.transform_request_body(
+                    text=prompt, optional_params=optional_params
+                )
+            )
         else:
             raise BedrockError(
                 status_code=422, message=f"Unsupported model={model}, passed in"
@@ -303,8 +307,11 @@ class BedrockImageGeneration(BaseAWSLLM):
         config_class = (
             litellm.AmazonStability3Config
             if litellm.AmazonStability3Config._is_stability_3_model(model=model)
-            else litellm.AmazonNovaCanvasConfig if litellm.AmazonNovaCanvasConfig._is_nova_model(model=model)
-            else litellm.AmazonStabilityConfig
+            else (
+                litellm.AmazonNovaCanvasConfig
+                if litellm.AmazonNovaCanvasConfig._is_nova_model(model=model)
+                else litellm.AmazonStabilityConfig
+            )
         )
         config_class.transform_response_dict_to_openai_response(
             model_response=model_response,
diff --git a/litellm/llms/bedrock/rerank/handler.py b/litellm/llms/bedrock/rerank/handler.py
index cd8be6912c..f5a532bec1 100644
--- a/litellm/llms/bedrock/rerank/handler.py
+++ b/litellm/llms/bedrock/rerank/handler.py
@@ -60,7 +60,6 @@ class BedrockRerankHandler(BaseAWSLLM):
         extra_headers: Optional[dict] = None,
         client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
     ) -> RerankResponse:
-
         request_data = RerankRequest(
             model=model,
             query=query,
diff --git a/litellm/llms/bedrock/rerank/transformation.py b/litellm/llms/bedrock/rerank/transformation.py
index a5380febe9..be8250a967 100644
--- a/litellm/llms/bedrock/rerank/transformation.py
+++ b/litellm/llms/bedrock/rerank/transformation.py
@@ -29,7 +29,6 @@ from litellm.types.rerank import (
 
 
 class BedrockRerankConfig:
-
     def _transform_sources(
         self, documents: List[Union[str, dict]]
     ) -> List[BedrockRerankSource]:
diff --git a/litellm/llms/codestral/completion/handler.py b/litellm/llms/codestral/completion/handler.py
index fc6d2886a9..555f7fccfb 100644
--- a/litellm/llms/codestral/completion/handler.py
+++ b/litellm/llms/codestral/completion/handler.py
@@ -314,7 +314,6 @@ class CodestralTextCompletion:
             return _response
         ### SYNC COMPLETION
         else:
-
             response = litellm.module_level_client.post(
                 url=completion_url,
                 headers=headers,
@@ -352,13 +351,11 @@ class CodestralTextCompletion:
         logger_fn=None,
         headers={},
     ) -> TextCompletionResponse:
-
         async_handler = get_async_httpx_client(
             llm_provider=litellm.LlmProviders.TEXT_COMPLETION_CODESTRAL,
             params={"timeout": timeout},
         )
         try:
-
             response = await async_handler.post(
                 api_base, headers=headers, data=json.dumps(data)
             )
diff --git a/litellm/llms/codestral/completion/transformation.py b/litellm/llms/codestral/completion/transformation.py
index 5955e91deb..fc7b6f5dbb 100644
--- a/litellm/llms/codestral/completion/transformation.py
+++ b/litellm/llms/codestral/completion/transformation.py
@@ -78,7 +78,6 @@ class CodestralTextCompletionConfig(OpenAITextCompletionConfig):
         return optional_params
 
     def _chunk_parser(self, chunk_data: str) -> GenericStreamingChunk:
-
         text = ""
         is_finished = False
         finish_reason = None
diff --git a/litellm/llms/cohere/chat/transformation.py b/litellm/llms/cohere/chat/transformation.py
index 3ceec2dbba..fbaedca8f6 100644
--- a/litellm/llms/cohere/chat/transformation.py
+++ b/litellm/llms/cohere/chat/transformation.py
@@ -180,7 +180,6 @@ class CohereChatConfig(BaseConfig):
         litellm_params: dict,
         headers: dict,
     ) -> dict:
-
         ## Load Config
         for k, v in litellm.CohereChatConfig.get_config().items():
             if (
@@ -222,7 +221,6 @@ class CohereChatConfig(BaseConfig):
         api_key: Optional[str] = None,
         json_mode: Optional[bool] = None,
     ) -> ModelResponse:
-
         try:
             raw_response_json = raw_response.json()
             model_response.choices[0].message.content = raw_response_json["text"]  # type: ignore
diff --git a/litellm/llms/cohere/embed/handler.py b/litellm/llms/cohere/embed/handler.py
index e7f22ea72a..7a25bf7e54 100644
--- a/litellm/llms/cohere/embed/handler.py
+++ b/litellm/llms/cohere/embed/handler.py
@@ -56,7 +56,6 @@ async def async_embedding(
     encoding: Callable,
     client: Optional[AsyncHTTPHandler] = None,
 ):
-
     ## LOGGING
     logging_obj.pre_call(
         input=input,
diff --git a/litellm/llms/cohere/embed/transformation.py b/litellm/llms/cohere/embed/transformation.py
index 22e157a0fd..837dd5e006 100644
--- a/litellm/llms/cohere/embed/transformation.py
+++ b/litellm/llms/cohere/embed/transformation.py
@@ -72,7 +72,6 @@ class CohereEmbeddingConfig:
         return transformed_request
 
     def _calculate_usage(self, input: List[str], encoding: Any, meta: dict) -> Usage:
-
         input_tokens = 0
 
         text_tokens: Optional[int] = meta.get("billed_units", {}).get("input_tokens")
@@ -111,7 +110,6 @@ class CohereEmbeddingConfig:
         encoding: Any,
         input: list,
     ) -> EmbeddingResponse:
-
         response_json = response.json()
         ## LOGGING
         logging_obj.post_call(
diff --git a/litellm/llms/cohere/rerank/transformation.py b/litellm/llms/cohere/rerank/transformation.py
index f3624d9216..22782c1300 100644
--- a/litellm/llms/cohere/rerank/transformation.py
+++ b/litellm/llms/cohere/rerank/transformation.py
@@ -148,4 +148,4 @@ class CohereRerankConfig(BaseRerankConfig):
     def get_error_class(
         self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
     ) -> BaseLLMException:
-        return CohereError(message=error_message, status_code=status_code)
\ No newline at end of file
+        return CohereError(message=error_message, status_code=status_code)
diff --git a/litellm/llms/cohere/rerank_v2/transformation.py b/litellm/llms/cohere/rerank_v2/transformation.py
index a93cb982a7..74e760460d 100644
--- a/litellm/llms/cohere/rerank_v2/transformation.py
+++ b/litellm/llms/cohere/rerank_v2/transformation.py
@@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional, Union
 from litellm.llms.cohere.rerank.transformation import CohereRerankConfig
 from litellm.types.rerank import OptionalRerankParams, RerankRequest
 
+
 class CohereRerankV2Config(CohereRerankConfig):
     """
     Reference: https://docs.cohere.com/v2/reference/rerank
@@ -77,4 +78,4 @@ class CohereRerankV2Config(CohereRerankConfig):
             return_documents=optional_rerank_params.get("return_documents", None),
             max_tokens_per_doc=optional_rerank_params.get("max_tokens_per_doc", None),
         )
-        return rerank_request.model_dump(exclude_none=True)
\ No newline at end of file
+        return rerank_request.model_dump(exclude_none=True)
diff --git a/litellm/llms/custom_httpx/aiohttp_handler.py b/litellm/llms/custom_httpx/aiohttp_handler.py
index c865fee17e..9568ce7185 100644
--- a/litellm/llms/custom_httpx/aiohttp_handler.py
+++ b/litellm/llms/custom_httpx/aiohttp_handler.py
@@ -32,7 +32,6 @@ DEFAULT_TIMEOUT = 600
 
 
 class BaseLLMAIOHTTPHandler:
-
     def __init__(self):
         self.client_session: Optional[aiohttp.ClientSession] = None
 
@@ -110,7 +109,6 @@ class BaseLLMAIOHTTPHandler:
         content: Any = None,
         params: Optional[dict] = None,
     ) -> httpx.Response:
-
         max_retry_on_unprocessable_entity_error = (
             provider_config.max_retry_on_unprocessable_entity_error
         )
diff --git a/litellm/llms/custom_httpx/http_handler.py b/litellm/llms/custom_httpx/http_handler.py
index 34d70434d5..23d7fe4b4d 100644
--- a/litellm/llms/custom_httpx/http_handler.py
+++ b/litellm/llms/custom_httpx/http_handler.py
@@ -114,7 +114,6 @@ class AsyncHTTPHandler:
         event_hooks: Optional[Mapping[str, List[Callable[..., Any]]]],
         ssl_verify: Optional[VerifyTypes] = None,
     ) -> httpx.AsyncClient:
-
         # SSL certificates (a.k.a CA bundle) used to verify the identity of requested hosts.
         # /path/to/certificate.pem
         if ssl_verify is None:
@@ -590,7 +589,6 @@ class HTTPHandler:
         timeout: Optional[Union[float, httpx.Timeout]] = None,
     ):
         try:
-
             if timeout is not None:
                 req = self.client.build_request(
                     "PATCH", url, data=data, json=json, params=params, headers=headers, timeout=timeout  # type: ignore
@@ -609,7 +607,6 @@ class HTTPHandler:
                 llm_provider="litellm-httpx-handler",
             )
         except httpx.HTTPStatusError as e:
-
             if stream is True:
                 setattr(e, "message", mask_sensitive_info(e.response.read()))
                 setattr(e, "text", mask_sensitive_info(e.response.read()))
@@ -635,7 +632,6 @@ class HTTPHandler:
         timeout: Optional[Union[float, httpx.Timeout]] = None,
     ):
         try:
-
             if timeout is not None:
                 req = self.client.build_request(
                     "PUT", url, data=data, json=json, params=params, headers=headers, timeout=timeout  # type: ignore
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 872626c747..12736640f1 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -41,7 +41,6 @@ else:
 
 
 class BaseLLMHTTPHandler:
-
     async def _make_common_async_call(
         self,
         async_httpx_client: AsyncHTTPHandler,
@@ -109,7 +108,6 @@ class BaseLLMHTTPHandler:
         logging_obj: LiteLLMLoggingObj,
         stream: bool = False,
     ) -> httpx.Response:
-
         max_retry_on_unprocessable_entity_error = (
             provider_config.max_retry_on_unprocessable_entity_error
         )
@@ -599,7 +597,6 @@ class BaseLLMHTTPHandler:
         aembedding: bool = False,
         headers={},
     ) -> EmbeddingResponse:
-
         provider_config = ProviderConfigManager.get_provider_embedding_config(
             model=model, provider=litellm.LlmProviders(custom_llm_provider)
         )
@@ -742,7 +739,6 @@ class BaseLLMHTTPHandler:
         api_base: Optional[str] = None,
         client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
     ) -> RerankResponse:
-
         # get config from model, custom llm provider
         headers = provider_config.validate_environment(
             api_key=api_key,
@@ -828,7 +824,6 @@ class BaseLLMHTTPHandler:
         timeout: Optional[Union[float, httpx.Timeout]] = None,
         client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
     ) -> RerankResponse:
-
         if client is None or not isinstance(client, AsyncHTTPHandler):
             async_httpx_client = get_async_httpx_client(
                 llm_provider=litellm.LlmProviders(custom_llm_provider)
diff --git a/litellm/llms/databricks/common_utils.py b/litellm/llms/databricks/common_utils.py
index e8481e25b2..76bd281d4d 100644
--- a/litellm/llms/databricks/common_utils.py
+++ b/litellm/llms/databricks/common_utils.py
@@ -16,9 +16,9 @@ class DatabricksBase:
             api_base = api_base or f"{databricks_client.config.host}/serving-endpoints"
 
             if api_key is None:
-                databricks_auth_headers: dict[str, str] = (
-                    databricks_client.config.authenticate()
-                )
+                databricks_auth_headers: dict[
+                    str, str
+                ] = databricks_client.config.authenticate()
                 headers = {**databricks_auth_headers, **headers}
 
             return api_base, headers
diff --git a/litellm/llms/databricks/embed/transformation.py b/litellm/llms/databricks/embed/transformation.py
index 53e3b30dd2..a113a349cc 100644
--- a/litellm/llms/databricks/embed/transformation.py
+++ b/litellm/llms/databricks/embed/transformation.py
@@ -11,9 +11,9 @@ class DatabricksEmbeddingConfig:
     Reference: https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-models/api-reference#--embedding-task
     """
 
-    instruction: Optional[str] = (
-        None  # An optional instruction to pass to the embedding model. BGE Authors recommend 'Represent this sentence for searching relevant passages:' for retrieval queries
-    )
+    instruction: Optional[
+        str
+    ] = None  # An optional instruction to pass to the embedding model. BGE Authors recommend 'Represent this sentence for searching relevant passages:' for retrieval queries
 
     def __init__(self, instruction: Optional[str] = None) -> None:
         locals_ = locals().copy()
diff --git a/litellm/llms/databricks/streaming_utils.py b/litellm/llms/databricks/streaming_utils.py
index 2db53df908..eebe318288 100644
--- a/litellm/llms/databricks/streaming_utils.py
+++ b/litellm/llms/databricks/streaming_utils.py
@@ -55,7 +55,6 @@ class ModelResponseIterator:
 
             usage_chunk: Optional[Usage] = getattr(processed_chunk, "usage", None)
             if usage_chunk is not None:
-
                 usage = ChatCompletionUsageBlock(
                     prompt_tokens=usage_chunk.prompt_tokens,
                     completion_tokens=usage_chunk.completion_tokens,
diff --git a/litellm/llms/deepgram/audio_transcription/transformation.py b/litellm/llms/deepgram/audio_transcription/transformation.py
index 90720a77f7..20599e3994 100644
--- a/litellm/llms/deepgram/audio_transcription/transformation.py
+++ b/litellm/llms/deepgram/audio_transcription/transformation.py
@@ -126,9 +126,9 @@ class DeepgramAudioTranscriptionConfig(BaseAudioTranscriptionConfig):
 
             # Add additional metadata matching OpenAI format
             response["task"] = "transcribe"
-            response["language"] = (
-                "english"  # Deepgram auto-detects but doesn't return language
-            )
+            response[
+                "language"
+            ] = "english"  # Deepgram auto-detects but doesn't return language
             response["duration"] = response_json["metadata"]["duration"]
 
             # Transform words to match OpenAI format
diff --git a/litellm/llms/deepseek/chat/transformation.py b/litellm/llms/deepseek/chat/transformation.py
index 180cf7dc69..fe70ebe77e 100644
--- a/litellm/llms/deepseek/chat/transformation.py
+++ b/litellm/llms/deepseek/chat/transformation.py
@@ -14,7 +14,6 @@ from ...openai.chat.gpt_transformation import OpenAIGPTConfig
 
 
 class DeepSeekChatConfig(OpenAIGPTConfig):
-
     def _transform_messages(
         self, messages: List[AllMessageValues], model: str
     ) -> List[AllMessageValues]:
diff --git a/litellm/llms/deprecated_providers/aleph_alpha.py b/litellm/llms/deprecated_providers/aleph_alpha.py
index 81ad134641..4cfede2a1b 100644
--- a/litellm/llms/deprecated_providers/aleph_alpha.py
+++ b/litellm/llms/deprecated_providers/aleph_alpha.py
@@ -77,9 +77,9 @@ class AlephAlphaConfig:
     - `control_log_additive` (boolean; default value: true): Method of applying control to attention scores.
     """
 
-    maximum_tokens: Optional[int] = (
-        litellm.max_tokens
-    )  # aleph alpha requires max tokens
+    maximum_tokens: Optional[
+        int
+    ] = litellm.max_tokens  # aleph alpha requires max tokens
     minimum_tokens: Optional[int] = None
     echo: Optional[bool] = None
     temperature: Optional[int] = None
diff --git a/litellm/llms/fireworks_ai/chat/transformation.py b/litellm/llms/fireworks_ai/chat/transformation.py
index 1c82f24ac0..4def12adb7 100644
--- a/litellm/llms/fireworks_ai/chat/transformation.py
+++ b/litellm/llms/fireworks_ai/chat/transformation.py
@@ -88,7 +88,6 @@ class FireworksAIConfig(OpenAIGPTConfig):
         model: str,
         drop_params: bool,
     ) -> dict:
-
         supported_openai_params = self.get_supported_openai_params(model=model)
         is_tools_set = any(
             param == "tools" and value is not None
@@ -104,7 +103,6 @@ class FireworksAIConfig(OpenAIGPTConfig):
                     # pass through the value of tool choice
                     optional_params["tool_choice"] = value
             elif param == "response_format":
-
                 if (
                     is_tools_set
                 ):  # fireworks ai doesn't support tools and response_format together
@@ -223,7 +221,6 @@ class FireworksAIConfig(OpenAIGPTConfig):
         return api_base, dynamic_api_key
 
     def get_models(self, api_key: Optional[str] = None, api_base: Optional[str] = None):
-
         api_base, api_key = self._get_openai_compatible_provider_info(
             api_base=api_base, api_key=api_key
         )
diff --git a/litellm/llms/gemini/chat/transformation.py b/litellm/llms/gemini/chat/transformation.py
index fbc1916dcc..0d5956122e 100644
--- a/litellm/llms/gemini/chat/transformation.py
+++ b/litellm/llms/gemini/chat/transformation.py
@@ -90,7 +90,6 @@ class GoogleAIStudioGeminiConfig(VertexGeminiConfig):
         model: str,
         drop_params: bool,
     ) -> Dict:
-
         if litellm.vertex_ai_safety_settings is not None:
             optional_params["safety_settings"] = litellm.vertex_ai_safety_settings
         return super().map_openai_params(
diff --git a/litellm/llms/gemini/common_utils.py b/litellm/llms/gemini/common_utils.py
index 7f266c0536..4c3357a500 100644
--- a/litellm/llms/gemini/common_utils.py
+++ b/litellm/llms/gemini/common_utils.py
@@ -25,7 +25,6 @@ class GeminiModelInfo(BaseLLMModelInfo):
     def get_models(
         self, api_key: Optional[str] = None, api_base: Optional[str] = None
     ) -> List[str]:
-
         api_base = GeminiModelInfo.get_api_base(api_base)
         api_key = GeminiModelInfo.get_api_key(api_key)
         if api_base is None or api_key is None:
diff --git a/litellm/llms/groq/chat/transformation.py b/litellm/llms/groq/chat/transformation.py
index 5b24f7d112..b0ee69bed2 100644
--- a/litellm/llms/groq/chat/transformation.py
+++ b/litellm/llms/groq/chat/transformation.py
@@ -18,7 +18,6 @@ from ...openai.chat.gpt_transformation import OpenAIGPTConfig
 
 
 class GroqChatConfig(OpenAIGPTConfig):
-
     frequency_penalty: Optional[int] = None
     function_call: Optional[Union[str, dict]] = None
     functions: Optional[list] = None
diff --git a/litellm/llms/groq/stt/transformation.py b/litellm/llms/groq/stt/transformation.py
index c4dbd8d0ca..b467fab14f 100644
--- a/litellm/llms/groq/stt/transformation.py
+++ b/litellm/llms/groq/stt/transformation.py
@@ -9,7 +9,6 @@ import litellm
 
 
 class GroqSTTConfig:
-
     frequency_penalty: Optional[int] = None
     function_call: Optional[Union[str, dict]] = None
     functions: Optional[list] = None
diff --git a/litellm/llms/huggingface/chat/transformation.py b/litellm/llms/huggingface/chat/transformation.py
index 858fda473e..082960b2c2 100644
--- a/litellm/llms/huggingface/chat/transformation.py
+++ b/litellm/llms/huggingface/chat/transformation.py
@@ -40,17 +40,17 @@ class HuggingfaceChatConfig(BaseConfig):
     Reference: https://huggingface.github.io/text-generation-inference/#/Text%20Generation%20Inference/compat_generate
     """
 
-    hf_task: Optional[hf_tasks] = (
-        None  # litellm-specific param, used to know the api spec to use when calling huggingface api
-    )
+    hf_task: Optional[
+        hf_tasks
+    ] = None  # litellm-specific param, used to know the api spec to use when calling huggingface api
     best_of: Optional[int] = None
     decoder_input_details: Optional[bool] = None
     details: Optional[bool] = True  # enables returning logprobs + best of
     max_new_tokens: Optional[int] = None
     repetition_penalty: Optional[float] = None
-    return_full_text: Optional[bool] = (
-        False  # by default don't return the input as part of the output
-    )
+    return_full_text: Optional[
+        bool
+    ] = False  # by default don't return the input as part of the output
     seed: Optional[int] = None
     temperature: Optional[float] = None
     top_k: Optional[int] = None
@@ -120,9 +120,9 @@ class HuggingfaceChatConfig(BaseConfig):
                 optional_params["top_p"] = value
             if param == "n":
                 optional_params["best_of"] = value
-                optional_params["do_sample"] = (
-                    True  # Need to sample if you want best of for hf inference endpoints
-                )
+                optional_params[
+                    "do_sample"
+                ] = True  # Need to sample if you want best of for hf inference endpoints
             if param == "stream":
                 optional_params["stream"] = value
             if param == "stop":
@@ -362,9 +362,9 @@ class HuggingfaceChatConfig(BaseConfig):
             "content-type": "application/json",
         }
         if api_key is not None:
-            default_headers["Authorization"] = (
-                f"Bearer {api_key}"  # Huggingface Inference Endpoint default is to accept bearer tokens
-            )
+            default_headers[
+                "Authorization"
+            ] = f"Bearer {api_key}"  # Huggingface Inference Endpoint default is to accept bearer tokens
 
         headers = {**headers, **default_headers}
         return headers
diff --git a/litellm/llms/maritalk.py b/litellm/llms/maritalk.py
index 5f2b8d71bc..418d13b344 100644
--- a/litellm/llms/maritalk.py
+++ b/litellm/llms/maritalk.py
@@ -17,7 +17,6 @@ class MaritalkError(BaseLLMException):
 
 
 class MaritalkConfig(OpenAIGPTConfig):
-
     def __init__(
         self,
         frequency_penalty: Optional[float] = None,
diff --git a/litellm/llms/ollama/completion/transformation.py b/litellm/llms/ollama/completion/transformation.py
index b4db95cfa1..b007bbb2bc 100644
--- a/litellm/llms/ollama/completion/transformation.py
+++ b/litellm/llms/ollama/completion/transformation.py
@@ -89,9 +89,9 @@ class OllamaConfig(BaseConfig):
     repeat_penalty: Optional[float] = None
     temperature: Optional[float] = None
     seed: Optional[int] = None
-    stop: Optional[list] = (
-        None  # stop is a list based on this - https://github.com/ollama/ollama/pull/442
-    )
+    stop: Optional[
+        list
+    ] = None  # stop is a list based on this - https://github.com/ollama/ollama/pull/442
     tfs_z: Optional[float] = None
     num_predict: Optional[int] = None
     top_k: Optional[int] = None
diff --git a/litellm/llms/openai/chat/gpt_transformation.py b/litellm/llms/openai/chat/gpt_transformation.py
index c765f97979..1fde23c9c2 100644
--- a/litellm/llms/openai/chat/gpt_transformation.py
+++ b/litellm/llms/openai/chat/gpt_transformation.py
@@ -391,7 +391,6 @@ class OpenAIGPTConfig(BaseLLMModelInfo, BaseConfig):
 
 
 class OpenAIChatCompletionStreamingHandler(BaseModelResponseIterator):
-
     def chunk_parser(self, chunk: dict) -> ModelResponseStream:
         try:
             return ModelResponseStream(
diff --git a/litellm/llms/openai/completion/handler.py b/litellm/llms/openai/completion/handler.py
index 2e60f55b57..fa31c487cd 100644
--- a/litellm/llms/openai/completion/handler.py
+++ b/litellm/llms/openai/completion/handler.py
@@ -220,7 +220,6 @@ class OpenAITextCompletion(BaseLLM):
         client=None,
         organization=None,
     ):
-
         if client is None:
             openai_client = OpenAI(
                 api_key=api_key,
diff --git a/litellm/llms/openai/completion/transformation.py b/litellm/llms/openai/completion/transformation.py
index 1aef72d3fa..43fbc1f219 100644
--- a/litellm/llms/openai/completion/transformation.py
+++ b/litellm/llms/openai/completion/transformation.py
@@ -111,9 +111,9 @@ class OpenAITextCompletionConfig(BaseTextCompletionConfig, OpenAIGPTConfig):
             if "model" in response_object:
                 model_response_object.model = response_object["model"]
 
-            model_response_object._hidden_params["original_response"] = (
-                response_object  # track original response, if users make a litellm.text_completion() request, we can return the original response
-            )
+            model_response_object._hidden_params[
+                "original_response"
+            ] = response_object  # track original response, if users make a litellm.text_completion() request, we can return the original response
             return model_response_object
         except Exception as e:
             raise e
diff --git a/litellm/llms/openai/fine_tuning/handler.py b/litellm/llms/openai/fine_tuning/handler.py
index 97b237c757..2b697f85d2 100644
--- a/litellm/llms/openai/fine_tuning/handler.py
+++ b/litellm/llms/openai/fine_tuning/handler.py
@@ -28,14 +28,7 @@ class OpenAIFineTuningAPI:
         _is_async: bool = False,
         api_version: Optional[str] = None,
         litellm_params: Optional[dict] = None,
-    ) -> Optional[
-        Union[
-            OpenAI,
-            AsyncOpenAI,
-            AzureOpenAI,
-            AsyncAzureOpenAI,
-        ]
-    ]:
+    ) -> Optional[Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI,]]:
         received_args = locals()
         openai_client: Optional[
             Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
diff --git a/litellm/llms/openai/openai.py b/litellm/llms/openai/openai.py
index deb70b481e..0545542ead 100644
--- a/litellm/llms/openai/openai.py
+++ b/litellm/llms/openai/openai.py
@@ -266,7 +266,6 @@ class OpenAIConfig(BaseConfig):
         api_key: Optional[str] = None,
         json_mode: Optional[bool] = None,
     ) -> ModelResponse:
-
         logging_obj.post_call(original_response=raw_response.text)
         logging_obj.model_call_details["response_headers"] = raw_response.headers
         final_response_obj = cast(
@@ -320,7 +319,6 @@ class OpenAIChatCompletionResponseIterator(BaseModelResponseIterator):
 
 
 class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
-
     def __init__(self) -> None:
         super().__init__()
 
@@ -513,7 +511,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         custom_llm_provider: Optional[str] = None,
         drop_params: Optional[bool] = None,
     ):
-
         super().completion()
         try:
             fake_stream: bool = False
@@ -553,7 +550,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
             for _ in range(
                 2
             ):  # if call fails due to alternating messages, retry with reformatted message
-
                 if provider_config is not None:
                     data = provider_config.transform_request(
                         model=model,
@@ -649,13 +645,14 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
                             },
                         )
 
-                        headers, response = (
-                            self.make_sync_openai_chat_completion_request(
-                                openai_client=openai_client,
-                                data=data,
-                                timeout=timeout,
-                                logging_obj=logging_obj,
-                            )
+                        (
+                            headers,
+                            response,
+                        ) = self.make_sync_openai_chat_completion_request(
+                            openai_client=openai_client,
+                            data=data,
+                            timeout=timeout,
+                            logging_obj=logging_obj,
                         )
 
                         logging_obj.model_call_details["response_headers"] = headers
@@ -763,7 +760,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         for _ in range(
             2
         ):  # if call fails due to alternating messages, retry with reformatted message
-
             try:
                 openai_aclient: AsyncOpenAI = self._get_openai_client(  # type: ignore
                     is_async=True,
@@ -973,7 +969,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
             except (
                 Exception
             ) as e:  # need to exception handle here. async exceptions don't get caught in sync functions.
-
                 if isinstance(e, OpenAIError):
                     raise e
 
@@ -1246,7 +1241,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
     ):
         response = None
         try:
-
             openai_aclient = self._get_openai_client(
                 is_async=True,
                 api_key=api_key,
@@ -1333,7 +1327,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
             )
             return convert_to_model_response_object(response_object=response, model_response_object=model_response, response_type="image_generation")  # type: ignore
         except OpenAIError as e:
-
             ## LOGGING
             logging_obj.post_call(
                 input=prompt,
@@ -1372,7 +1365,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         aspeech: Optional[bool] = None,
         client=None,
     ) -> HttpxBinaryResponseContent:
-
         if aspeech is not None and aspeech is True:
             return self.async_audio_speech(
                 model=model,
@@ -1419,7 +1411,6 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         timeout: Union[float, httpx.Timeout],
         client=None,
     ) -> HttpxBinaryResponseContent:
-
         openai_client = cast(
             AsyncOpenAI,
             self._get_openai_client(
diff --git a/litellm/llms/openai/transcriptions/whisper_transformation.py b/litellm/llms/openai/transcriptions/whisper_transformation.py
index 5a7d6481a8..2d3d611dac 100644
--- a/litellm/llms/openai/transcriptions/whisper_transformation.py
+++ b/litellm/llms/openai/transcriptions/whisper_transformation.py
@@ -81,9 +81,9 @@ class OpenAIWhisperAudioTranscriptionConfig(BaseAudioTranscriptionConfig):
         if "response_format" not in data or (
             data["response_format"] == "text" or data["response_format"] == "json"
         ):
-            data["response_format"] = (
-                "verbose_json"  # ensures 'duration' is received - used for cost calculation
-            )
+            data[
+                "response_format"
+            ] = "verbose_json"  # ensures 'duration' is received - used for cost calculation
 
         return data
 
diff --git a/litellm/llms/openrouter/chat/transformation.py b/litellm/llms/openrouter/chat/transformation.py
index ab4d3c52b9..0b47167524 100644
--- a/litellm/llms/openrouter/chat/transformation.py
+++ b/litellm/llms/openrouter/chat/transformation.py
@@ -19,7 +19,6 @@ from ..common_utils import OpenRouterException
 
 
 class OpenrouterConfig(OpenAIGPTConfig):
-
     def map_openai_params(
         self,
         non_default_params: dict,
@@ -42,9 +41,9 @@ class OpenrouterConfig(OpenAIGPTConfig):
             extra_body["models"] = models
         if route is not None:
             extra_body["route"] = route
-        mapped_openai_params["extra_body"] = (
-            extra_body  # openai client supports `extra_body` param
-        )
+        mapped_openai_params[
+            "extra_body"
+        ] = extra_body  # openai client supports `extra_body` param
         return mapped_openai_params
 
     def get_error_class(
@@ -70,7 +69,6 @@ class OpenrouterConfig(OpenAIGPTConfig):
 
 
 class OpenRouterChatCompletionStreamingHandler(BaseModelResponseIterator):
-
     def chunk_parser(self, chunk: dict) -> ModelResponseStream:
         try:
             new_choices = []
diff --git a/litellm/llms/petals/completion/transformation.py b/litellm/llms/petals/completion/transformation.py
index 08ec15de33..a9e37d27fc 100644
--- a/litellm/llms/petals/completion/transformation.py
+++ b/litellm/llms/petals/completion/transformation.py
@@ -37,9 +37,9 @@ class PetalsConfig(BaseConfig):
     """
 
     max_length: Optional[int] = None
-    max_new_tokens: Optional[int] = (
-        litellm.max_tokens
-    )  # petals requires max tokens to be set
+    max_new_tokens: Optional[
+        int
+    ] = litellm.max_tokens  # petals requires max tokens to be set
     do_sample: Optional[bool] = None
     temperature: Optional[float] = None
     top_k: Optional[int] = None
diff --git a/litellm/llms/predibase/chat/handler.py b/litellm/llms/predibase/chat/handler.py
index 43f4b06745..cd80fa53e4 100644
--- a/litellm/llms/predibase/chat/handler.py
+++ b/litellm/llms/predibase/chat/handler.py
@@ -394,7 +394,6 @@ class PredibaseChatCompletion:
         logger_fn=None,
         headers={},
     ) -> ModelResponse:
-
         async_handler = get_async_httpx_client(
             llm_provider=litellm.LlmProviders.PREDIBASE,
             params={"timeout": timeout},
diff --git a/litellm/llms/predibase/chat/transformation.py b/litellm/llms/predibase/chat/transformation.py
index f574238696..f1a2163d24 100644
--- a/litellm/llms/predibase/chat/transformation.py
+++ b/litellm/llms/predibase/chat/transformation.py
@@ -30,9 +30,9 @@ class PredibaseConfig(BaseConfig):
         256  # openai default - requests hang if max_new_tokens not given
     )
     repetition_penalty: Optional[float] = None
-    return_full_text: Optional[bool] = (
-        False  # by default don't return the input as part of the output
-    )
+    return_full_text: Optional[
+        bool
+    ] = False  # by default don't return the input as part of the output
     seed: Optional[int] = None
     stop: Optional[List[str]] = None
     temperature: Optional[float] = None
@@ -99,9 +99,9 @@ class PredibaseConfig(BaseConfig):
                 optional_params["top_p"] = value
             if param == "n":
                 optional_params["best_of"] = value
-                optional_params["do_sample"] = (
-                    True  # Need to sample if you want best of for hf inference endpoints
-                )
+                optional_params[
+                    "do_sample"
+                ] = True  # Need to sample if you want best of for hf inference endpoints
             if param == "stream":
                 optional_params["stream"] = value
             if param == "stop":
diff --git a/litellm/llms/replicate/chat/handler.py b/litellm/llms/replicate/chat/handler.py
index f52eb2ee05..526f376b89 100644
--- a/litellm/llms/replicate/chat/handler.py
+++ b/litellm/llms/replicate/chat/handler.py
@@ -244,7 +244,6 @@ async def async_completion(
     print_verbose,
     headers: dict,
 ) -> Union[ModelResponse, CustomStreamWrapper]:
-
     prediction_url = replicate_config.get_complete_url(
         api_base=api_base,
         model=model,
diff --git a/litellm/llms/sagemaker/chat/handler.py b/litellm/llms/sagemaker/chat/handler.py
index c827a8a5f7..b86cda7aea 100644
--- a/litellm/llms/sagemaker/chat/handler.py
+++ b/litellm/llms/sagemaker/chat/handler.py
@@ -13,7 +13,6 @@ from .transformation import SagemakerChatConfig
 
 
 class SagemakerChatHandler(BaseAWSLLM):
-
     def _load_credentials(
         self,
         optional_params: dict,
@@ -128,7 +127,6 @@ class SagemakerChatHandler(BaseAWSLLM):
         headers: dict = {},
         client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
     ):
-
         # pop streaming if it's in the optional params as 'stream' raises an error with sagemaker
         credentials, aws_region_name = self._load_credentials(optional_params)
         inference_params = deepcopy(optional_params)
diff --git a/litellm/llms/sagemaker/common_utils.py b/litellm/llms/sagemaker/common_utils.py
index 9884f420c3..ce0c6c9506 100644
--- a/litellm/llms/sagemaker/common_utils.py
+++ b/litellm/llms/sagemaker/common_utils.py
@@ -34,7 +34,6 @@ class AWSEventStreamDecoder:
     def _chunk_parser_messages_api(
         self, chunk_data: dict
     ) -> StreamingChatCompletionChunk:
-
         openai_chunk = StreamingChatCompletionChunk(**chunk_data)
 
         return openai_chunk
@@ -192,7 +191,6 @@ class AWSEventStreamDecoder:
 def get_response_stream_shape():
     global _response_stream_shape_cache
     if _response_stream_shape_cache is None:
-
         from botocore.loaders import Loader
         from botocore.model import ServiceModel
 
diff --git a/litellm/llms/sagemaker/completion/handler.py b/litellm/llms/sagemaker/completion/handler.py
index 909caf73c3..296689c31c 100644
--- a/litellm/llms/sagemaker/completion/handler.py
+++ b/litellm/llms/sagemaker/completion/handler.py
@@ -1,6 +1,6 @@
 import json
 from copy import deepcopy
-from typing import Any, Callable, List, Optional, Union
+from typing import Any, Callable, List, Optional, Union, cast
 
 import httpx
 
@@ -35,7 +35,6 @@ os.environ['AWS_SECRET_ACCESS_KEY'] = ""
 
 # set os.environ['AWS_REGION_NAME'] = <your-region_name>
 class SagemakerLLM(BaseAWSLLM):
-
     def _load_credentials(
         self,
         optional_params: dict,
@@ -154,7 +153,6 @@ class SagemakerLLM(BaseAWSLLM):
         acompletion: bool = False,
         headers: dict = {},
     ):
-
         # pop streaming if it's in the optional params as 'stream' raises an error with sagemaker
         credentials, aws_region_name = self._load_credentials(optional_params)
         inference_params = deepcopy(optional_params)
@@ -437,10 +435,14 @@ class SagemakerLLM(BaseAWSLLM):
             prepared_request.headers.update(
                 {"X-Amzn-SageMaker-Inference-Component": model_id}
             )
+
+        if not prepared_request.body:
+            raise ValueError("Prepared request body is empty")
+
         completion_stream = await self.make_async_call(
             api_base=prepared_request.url,
             headers=prepared_request.headers,  # type: ignore
-            data=prepared_request.body,
+            data=cast(str, prepared_request.body),
             logging_obj=logging_obj,
         )
         streaming_response = CustomStreamWrapper(
@@ -625,7 +627,7 @@ class SagemakerLLM(BaseAWSLLM):
         response = client.invoke_endpoint(
             EndpointName={model},
             ContentType="application/json",
-            Body={data}, # type: ignore
+            Body=f"{data!r}",  # Use !r for safe representation
             CustomAttributes="accept_eula=true",
         )"""  # type: ignore
         logging_obj.pre_call(
diff --git a/litellm/llms/sagemaker/completion/transformation.py b/litellm/llms/sagemaker/completion/transformation.py
index d0ab5d0697..9923c0e45d 100644
--- a/litellm/llms/sagemaker/completion/transformation.py
+++ b/litellm/llms/sagemaker/completion/transformation.py
@@ -88,9 +88,9 @@ class SagemakerConfig(BaseConfig):
                 optional_params["top_p"] = value
             if param == "n":
                 optional_params["best_of"] = value
-                optional_params["do_sample"] = (
-                    True  # Need to sample if you want best of for hf inference endpoints
-                )
+                optional_params[
+                    "do_sample"
+                ] = True  # Need to sample if you want best of for hf inference endpoints
             if param == "stream":
                 optional_params["stream"] = value
             if param == "stop":
diff --git a/litellm/llms/together_ai/rerank/transformation.py b/litellm/llms/together_ai/rerank/transformation.py
index 4714376979..1fdb772add 100644
--- a/litellm/llms/together_ai/rerank/transformation.py
+++ b/litellm/llms/together_ai/rerank/transformation.py
@@ -19,7 +19,6 @@ from litellm.types.rerank import (
 
 class TogetherAIRerankConfig:
     def _transform_response(self, response: dict) -> RerankResponse:
-
         _billed_units = RerankBilledUnits(**response.get("usage", {}))
         _tokens = RerankTokens(**response.get("usage", {}))
         rerank_meta = RerankResponseMeta(billed_units=_billed_units, tokens=_tokens)
diff --git a/litellm/llms/topaz/image_variations/transformation.py b/litellm/llms/topaz/image_variations/transformation.py
index 8b95deed04..6188101015 100644
--- a/litellm/llms/topaz/image_variations/transformation.py
+++ b/litellm/llms/topaz/image_variations/transformation.py
@@ -121,7 +121,6 @@ class TopazImageVariationConfig(BaseImageVariationConfig):
         optional_params: dict,
         headers: dict,
     ) -> HttpHandlerRequestFields:
-
         request_params = HttpHandlerRequestFields(
             files={"image": self.prepare_file_tuple(image)},
             data=optional_params,
@@ -134,7 +133,6 @@ class TopazImageVariationConfig(BaseImageVariationConfig):
         image_content: bytes,
         response_ms: float,
     ) -> ImageResponse:
-
         # Convert to base64
         base64_image = base64.b64encode(image_content).decode("utf-8")
 
diff --git a/litellm/llms/triton/completion/transformation.py b/litellm/llms/triton/completion/transformation.py
index 56151f89ef..46b607d455 100644
--- a/litellm/llms/triton/completion/transformation.py
+++ b/litellm/llms/triton/completion/transformation.py
@@ -244,7 +244,6 @@ class TritonInferConfig(TritonConfig):
         litellm_params: dict,
         headers: dict,
     ) -> dict:
-
         text_input = messages[0].get("content", "")
         data_for_triton = {
             "inputs": [
diff --git a/litellm/llms/vertex_ai/batches/handler.py b/litellm/llms/vertex_ai/batches/handler.py
index b82268bef6..dc3f93857a 100644
--- a/litellm/llms/vertex_ai/batches/handler.py
+++ b/litellm/llms/vertex_ai/batches/handler.py
@@ -35,7 +35,6 @@ class VertexAIBatchPrediction(VertexLLM):
         timeout: Union[float, httpx.Timeout],
         max_retries: Optional[int],
     ) -> Union[LiteLLMBatch, Coroutine[Any, Any, LiteLLMBatch]]:
-
         sync_handler = _get_httpx_client()
 
         access_token, project_id = self._ensure_access_token(
@@ -69,10 +68,8 @@ class VertexAIBatchPrediction(VertexLLM):
             "Authorization": f"Bearer {access_token}",
         }
 
-        vertex_batch_request: VertexAIBatchPredictionJob = (
-            VertexAIBatchTransformation.transform_openai_batch_request_to_vertex_ai_batch_request(
-                request=create_batch_data
-            )
+        vertex_batch_request: VertexAIBatchPredictionJob = VertexAIBatchTransformation.transform_openai_batch_request_to_vertex_ai_batch_request(
+            request=create_batch_data
         )
 
         if _is_async is True:
diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index 337445777a..f2cd1ef557 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -243,7 +243,7 @@ def convert_anyof_null_to_nullable(schema, depth=0):
                 # remove null type
                 anyof.remove(atype)
                 contains_null = True
-        
+
         if len(anyof) == 0:
             # Edge case: response schema with only null type present is invalid in Vertex AI
             raise ValueError(
@@ -251,12 +251,10 @@ def convert_anyof_null_to_nullable(schema, depth=0):
                 "Please provide a non-null type."
             )
 
-            
         if contains_null:
             # set all types to nullable following guidance found here: https://cloud.google.com/vertex-ai/generative-ai/docs/samples/generativeaionvertexai-gemini-controlled-generation-response-schema-3#generativeaionvertexai_gemini_controlled_generation_response_schema_3-python
             for atype in anyof:
                 atype["nullable"] = True
-            
 
     properties = schema.get("properties", None)
     if properties is not None:
diff --git a/litellm/llms/vertex_ai/files/handler.py b/litellm/llms/vertex_ai/files/handler.py
index 266169cdfb..7000cf151d 100644
--- a/litellm/llms/vertex_ai/files/handler.py
+++ b/litellm/llms/vertex_ai/files/handler.py
@@ -49,10 +49,11 @@ class VertexAIFilesHandler(GCSBucketBase):
             service_account_json=gcs_logging_config["path_service_account"],
         )
         bucket_name = gcs_logging_config["bucket_name"]
-        logging_payload, object_name = (
-            vertex_ai_files_transformation.transform_openai_file_content_to_vertex_ai_file_content(
-                openai_file_content=create_file_data.get("file")
-            )
+        (
+            logging_payload,
+            object_name,
+        ) = vertex_ai_files_transformation.transform_openai_file_content_to_vertex_ai_file_content(
+            openai_file_content=create_file_data.get("file")
         )
         gcs_upload_response = await self._log_json_data_on_gcs(
             headers=headers,
diff --git a/litellm/llms/vertex_ai/fine_tuning/handler.py b/litellm/llms/vertex_ai/fine_tuning/handler.py
index 3cf409c78e..7ea8527fd4 100644
--- a/litellm/llms/vertex_ai/fine_tuning/handler.py
+++ b/litellm/llms/vertex_ai/fine_tuning/handler.py
@@ -36,7 +36,6 @@ class VertexFineTuningAPI(VertexLLM):
 
     def convert_response_created_at(self, response: ResponseTuningJob):
         try:
-
             create_time_str = response.get("createTime", "") or ""
             create_time_datetime = datetime.fromisoformat(
                 create_time_str.replace("Z", "+00:00")
@@ -65,9 +64,9 @@ class VertexFineTuningAPI(VertexLLM):
         )
 
         if create_fine_tuning_job_data.validation_file:
-            supervised_tuning_spec["validation_dataset"] = (
-                create_fine_tuning_job_data.validation_file
-            )
+            supervised_tuning_spec[
+                "validation_dataset"
+            ] = create_fine_tuning_job_data.validation_file
 
         _vertex_hyperparameters = (
             self._transform_openai_hyperparameters_to_vertex_hyperparameters(
@@ -175,7 +174,6 @@ class VertexFineTuningAPI(VertexLLM):
         headers: dict,
         request_data: FineTuneJobCreate,
     ):
-
         try:
             verbose_logger.debug(
                 "about to create fine tuning job: %s, request_data: %s",
@@ -229,7 +227,6 @@ class VertexFineTuningAPI(VertexLLM):
         kwargs: Optional[dict] = None,
         original_hyperparameters: Optional[dict] = {},
     ):
-
         verbose_logger.debug(
             "creating fine tuning job, args= %s", create_fine_tuning_job_data
         )
@@ -346,9 +343,9 @@ class VertexFineTuningAPI(VertexLLM):
         elif "cachedContents" in request_route:
             _model = request_data.get("model")
             if _model is not None and "/publishers/google/models/" not in _model:
-                request_data["model"] = (
-                    f"projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{_model}"
-                )
+                request_data[
+                    "model"
+                ] = f"projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{_model}"
 
             url = f"https://{vertex_location}-aiplatform.googleapis.com/v1beta1/projects/{vertex_project}/locations/{vertex_location}{request_route}"
         else:
diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py
index d6bafc7c60..96b33ee187 100644
--- a/litellm/llms/vertex_ai/gemini/transformation.py
+++ b/litellm/llms/vertex_ai/gemini/transformation.py
@@ -85,7 +85,6 @@ def _process_gemini_image(image_url: str, format: Optional[str] = None) -> PartT
             and (image_type := format or _get_image_mime_type_from_url(image_url))
             is not None
         ):
-
             file_data = FileDataType(file_uri=image_url, mime_type=image_type)
             return PartType(file_data=file_data)
         elif "http://" in image_url or "https://" in image_url or "base64" in image_url:
@@ -414,18 +413,19 @@ async def async_transform_request_body(
     context_caching_endpoints = ContextCachingEndpoints()
 
     if gemini_api_key is not None:
-        messages, cached_content = (
-            await context_caching_endpoints.async_check_and_create_cache(
-                messages=messages,
-                api_key=gemini_api_key,
-                api_base=api_base,
-                model=model,
-                client=client,
-                timeout=timeout,
-                extra_headers=extra_headers,
-                cached_content=optional_params.pop("cached_content", None),
-                logging_obj=logging_obj,
-            )
+        (
+            messages,
+            cached_content,
+        ) = await context_caching_endpoints.async_check_and_create_cache(
+            messages=messages,
+            api_key=gemini_api_key,
+            api_base=api_base,
+            model=model,
+            client=client,
+            timeout=timeout,
+            extra_headers=extra_headers,
+            cached_content=optional_params.pop("cached_content", None),
+            logging_obj=logging_obj,
         )
     else:  # [TODO] implement context caching for gemini as well
         cached_content = optional_params.pop("cached_content", None)
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 90c66f69a3..860dec9eb2 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -246,9 +246,9 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         value = _remove_strict_from_schema(value)
 
         for tool in value:
-            openai_function_object: Optional[ChatCompletionToolParamFunctionChunk] = (
-                None
-            )
+            openai_function_object: Optional[
+                ChatCompletionToolParamFunctionChunk
+            ] = None
             if "function" in tool:  # tools list
                 _openai_function_object = ChatCompletionToolParamFunctionChunk(  # type: ignore
                     **tool["function"]
@@ -813,15 +813,15 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
 
             ## ADD SAFETY RATINGS ##
             setattr(model_response, "vertex_ai_safety_results", safety_ratings)
-            model_response._hidden_params["vertex_ai_safety_results"] = (
-                safety_ratings  # older approach - maintaining to prevent regressions
-            )
+            model_response._hidden_params[
+                "vertex_ai_safety_results"
+            ] = safety_ratings  # older approach - maintaining to prevent regressions
 
             ## ADD CITATION METADATA ##
             setattr(model_response, "vertex_ai_citation_metadata", citation_metadata)
-            model_response._hidden_params["vertex_ai_citation_metadata"] = (
-                citation_metadata  # older approach - maintaining to prevent regressions
-            )
+            model_response._hidden_params[
+                "vertex_ai_citation_metadata"
+            ] = citation_metadata  # older approach - maintaining to prevent regressions
 
         except Exception as e:
             raise VertexAIError(
diff --git a/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_handler.py b/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_handler.py
index 0fe5145a14..ecfe2ee8b4 100644
--- a/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_handler.py
+++ b/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_handler.py
@@ -47,7 +47,6 @@ class GoogleBatchEmbeddings(VertexLLM):
         timeout=300,
         client=None,
     ) -> EmbeddingResponse:
-
         _auth_header, vertex_project = self._ensure_access_token(
             credentials=vertex_credentials,
             project_id=vertex_project,
diff --git a/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_transformation.py b/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_transformation.py
index 592dac5846..2c0f5dad22 100644
--- a/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_transformation.py
+++ b/litellm/llms/vertex_ai/gemini_embeddings/batch_embed_content_transformation.py
@@ -52,7 +52,6 @@ def process_response(
     model: str,
     _predictions: VertexAIBatchEmbeddingsResponseObject,
 ) -> EmbeddingResponse:
-
     openai_embeddings: List[Embedding] = []
     for embedding in _predictions["embeddings"]:
         openai_embedding = Embedding(
diff --git a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
index 34879ae9ac..88d7339449 100644
--- a/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
+++ b/litellm/llms/vertex_ai/multimodal_embeddings/embedding_handler.py
@@ -50,7 +50,6 @@ class VertexMultimodalEmbedding(VertexLLM):
         timeout=300,
         client=None,
     ) -> EmbeddingResponse:
-
         _auth_header, vertex_project = self._ensure_access_token(
             credentials=vertex_credentials,
             project_id=vertex_project,
diff --git a/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py b/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
index 8f96ca2bb0..afa58c7e5c 100644
--- a/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
+++ b/litellm/llms/vertex_ai/multimodal_embeddings/transformation.py
@@ -260,7 +260,6 @@ class VertexAIMultimodalEmbeddingConfig(BaseEmbeddingConfig):
     def transform_embedding_response_to_openai(
         self, predictions: MultimodalPredictions
     ) -> List[Embedding]:
-
         openai_embeddings: List[Embedding] = []
         if "predictions" in predictions:
             for idx, _prediction in enumerate(predictions["predictions"]):
diff --git a/litellm/llms/vertex_ai/vertex_ai_non_gemini.py b/litellm/llms/vertex_ai/vertex_ai_non_gemini.py
index 744e1eb317..df267d9623 100644
--- a/litellm/llms/vertex_ai/vertex_ai_non_gemini.py
+++ b/litellm/llms/vertex_ai/vertex_ai_non_gemini.py
@@ -323,7 +323,6 @@ def completion(  # noqa: PLR0915
             )
             completion_response = chat.send_message(prompt, **optional_params).text
         elif mode == "text":
-
             if fake_stream is not True and stream is True:
                 request_str += (
                     f"llm_model.predict_streaming({prompt}, **{optional_params})\n"
@@ -506,7 +505,6 @@ async def async_completion(  # noqa: PLR0915
     Add support for acompletion calls for gemini-pro
     """
     try:
-
         response_obj = None
         completion_response = None
         if mode == "chat":
diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/main.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/main.py
index fb2393631b..b8d2658f80 100644
--- a/litellm/llms/vertex_ai/vertex_ai_partner_models/main.py
+++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/main.py
@@ -110,7 +110,6 @@ class VertexAIPartnerModels(VertexBase):
                 message="""Upgrade vertex ai. Run `pip install "google-cloud-aiplatform>=1.38"`""",
             )
         try:
-
             vertex_httpx_logic = VertexLLM()
 
             access_token, project_id = vertex_httpx_logic._ensure_access_token(
diff --git a/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py b/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
index 2e8051d4d2..1167ca285f 100644
--- a/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
+++ b/litellm/llms/vertex_ai/vertex_embeddings/embedding_handler.py
@@ -86,10 +86,8 @@ class VertexEmbedding(VertexBase):
             mode="embedding",
         )
         headers = self.set_headers(auth_header=auth_header, extra_headers=extra_headers)
-        vertex_request: VertexEmbeddingRequest = (
-            litellm.vertexAITextEmbeddingConfig.transform_openai_request_to_vertex_embedding_request(
-                input=input, optional_params=optional_params, model=model
-            )
+        vertex_request: VertexEmbeddingRequest = litellm.vertexAITextEmbeddingConfig.transform_openai_request_to_vertex_embedding_request(
+            input=input, optional_params=optional_params, model=model
         )
 
         _client_params = {}
@@ -178,10 +176,8 @@ class VertexEmbedding(VertexBase):
             mode="embedding",
         )
         headers = self.set_headers(auth_header=auth_header, extra_headers=extra_headers)
-        vertex_request: VertexEmbeddingRequest = (
-            litellm.vertexAITextEmbeddingConfig.transform_openai_request_to_vertex_embedding_request(
-                input=input, optional_params=optional_params, model=model
-            )
+        vertex_request: VertexEmbeddingRequest = litellm.vertexAITextEmbeddingConfig.transform_openai_request_to_vertex_embedding_request(
+            input=input, optional_params=optional_params, model=model
         )
 
         _async_client_params = {}
diff --git a/litellm/llms/vertex_ai/vertex_embeddings/transformation.py b/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
index d9e84fca03..97af558041 100644
--- a/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
@@ -212,7 +212,6 @@ class VertexAITextEmbeddingConfig(BaseModel):
         embedding_response = []
         input_tokens: int = 0
         for idx, element in enumerate(_predictions):
-
             embedding = element["embeddings"]
             embedding_response.append(
                 {
diff --git a/litellm/llms/vertex_ai/vertex_model_garden/main.py b/litellm/llms/vertex_ai/vertex_model_garden/main.py
index 7b54d4e34b..1c57096734 100644
--- a/litellm/llms/vertex_ai/vertex_model_garden/main.py
+++ b/litellm/llms/vertex_ai/vertex_model_garden/main.py
@@ -76,7 +76,6 @@ class VertexAIModelGardenModels(VertexBase):
                 VertexLLM,
             )
         except Exception as e:
-
             raise VertexAIError(
                 status_code=400,
                 message=f"""vertexai import failed please run `pip install -U "google-cloud-aiplatform>=1.38"`. Got error: {e}""",
diff --git a/litellm/llms/watsonx/chat/transformation.py b/litellm/llms/watsonx/chat/transformation.py
index f253da6f5b..2ff1dd6a68 100644
--- a/litellm/llms/watsonx/chat/transformation.py
+++ b/litellm/llms/watsonx/chat/transformation.py
@@ -15,7 +15,6 @@ from ..common_utils import IBMWatsonXMixin
 
 
 class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig):
-
     def get_supported_openai_params(self, model: str) -> List:
         return [
             "temperature",  # equivalent to temperature
diff --git a/litellm/main.py b/litellm/main.py
index 1e6c36aa6c..f69454aaad 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -946,14 +946,16 @@ def completion(  # type: ignore # noqa: PLR0915
     ## PROMPT MANAGEMENT HOOKS ##
 
     if isinstance(litellm_logging_obj, LiteLLMLoggingObj) and prompt_id is not None:
-        model, messages, optional_params = (
-            litellm_logging_obj.get_chat_completion_prompt(
-                model=model,
-                messages=messages,
-                non_default_params=non_default_params,
-                prompt_id=prompt_id,
-                prompt_variables=prompt_variables,
-            )
+        (
+            model,
+            messages,
+            optional_params,
+        ) = litellm_logging_obj.get_chat_completion_prompt(
+            model=model,
+            messages=messages,
+            non_default_params=non_default_params,
+            prompt_id=prompt_id,
+            prompt_variables=prompt_variables,
         )
 
     try:
@@ -1246,7 +1248,6 @@ def completion(  # type: ignore # noqa: PLR0915
                 optional_params["max_retries"] = max_retries
 
             if litellm.AzureOpenAIO1Config().is_o_series_model(model=model):
-
                 ## LOAD CONFIG - if set
                 config = litellm.AzureOpenAIO1Config.get_config()
                 for k, v in config.items():
@@ -2654,9 +2655,9 @@ def completion(  # type: ignore # noqa: PLR0915
                     "aws_region_name" not in optional_params
                     or optional_params["aws_region_name"] is None
                 ):
-                    optional_params["aws_region_name"] = (
-                        aws_bedrock_client.meta.region_name
-                    )
+                    optional_params[
+                        "aws_region_name"
+                    ] = aws_bedrock_client.meta.region_name
 
             bedrock_route = BedrockModelInfo.get_bedrock_route(model)
             if bedrock_route == "converse":
@@ -4362,9 +4363,9 @@ def adapter_completion(
     new_kwargs = translation_obj.translate_completion_input_params(kwargs=kwargs)
 
     response: Union[ModelResponse, CustomStreamWrapper] = completion(**new_kwargs)  # type: ignore
-    translated_response: Optional[Union[BaseModel, AdapterCompletionStreamWrapper]] = (
-        None
-    )
+    translated_response: Optional[
+        Union[BaseModel, AdapterCompletionStreamWrapper]
+    ] = None
     if isinstance(response, ModelResponse):
         translated_response = translation_obj.translate_completion_output_params(
             response=response
@@ -4436,13 +4437,16 @@ async def amoderation(
 
     optional_params = GenericLiteLLMParams(**kwargs)
     try:
-        model, _custom_llm_provider, _dynamic_api_key, _dynamic_api_base = (
-            litellm.get_llm_provider(
-                model=model or "",
-                custom_llm_provider=custom_llm_provider,
-                api_base=optional_params.api_base,
-                api_key=optional_params.api_key,
-            )
+        (
+            model,
+            _custom_llm_provider,
+            _dynamic_api_key,
+            _dynamic_api_base,
+        ) = litellm.get_llm_provider(
+            model=model or "",
+            custom_llm_provider=custom_llm_provider,
+            api_base=optional_params.api_base,
+            api_key=optional_params.api_key,
         )
     except litellm.BadRequestError:
         # `model` is optional field for moderation - get_llm_provider will throw BadRequestError if model is not set / not recognized
@@ -5405,7 +5409,6 @@ def speech(  # noqa: PLR0915
             litellm_params=litellm_params_dict,
         )
     elif custom_llm_provider == "vertex_ai" or custom_llm_provider == "vertex_ai_beta":
-
         generic_optional_params = GenericLiteLLMParams(**kwargs)
 
         api_base = generic_optional_params.api_base or ""
@@ -5460,7 +5463,6 @@ def speech(  # noqa: PLR0915
 async def ahealth_check_wildcard_models(
     model: str, custom_llm_provider: str, model_params: dict
 ) -> dict:
-
     # this is a wildcard model, we need to pick a random model from the provider
     cheapest_models = pick_cheapest_chat_models_from_llm_provider(
         custom_llm_provider=custom_llm_provider, n=3
@@ -5783,9 +5785,9 @@ def stream_chunk_builder(  # noqa: PLR0915
         ]
 
         if len(content_chunks) > 0:
-            response["choices"][0]["message"]["content"] = (
-                processor.get_combined_content(content_chunks)
-            )
+            response["choices"][0]["message"][
+                "content"
+            ] = processor.get_combined_content(content_chunks)
 
         audio_chunks = [
             chunk
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index e7d6bec004..16b45f3837 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -38,7 +38,7 @@ from .types_utils.utils import get_instance_fn, validate_custom_validate_return_
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
@@ -615,9 +615,9 @@ class GenerateRequestBase(LiteLLMPydanticObjectBase):
     allowed_cache_controls: Optional[list] = []
     config: Optional[dict] = {}
     permissions: Optional[dict] = {}
-    model_max_budget: Optional[dict] = (
-        {}
-    )  # {"gpt-4": 5.0, "gpt-3.5-turbo": 5.0}, defaults to {}
+    model_max_budget: Optional[
+        dict
+    ] = {}  # {"gpt-4": 5.0, "gpt-3.5-turbo": 5.0}, defaults to {}
 
     model_config = ConfigDict(protected_namespaces=())
     model_rpm_limit: Optional[dict] = None
@@ -873,12 +873,12 @@ class NewCustomerRequest(BudgetNewRequest):
     alias: Optional[str] = None  # human-friendly alias
     blocked: bool = False  # allow/disallow requests for this end-user
     budget_id: Optional[str] = None  # give either a budget_id or max_budget
-    allowed_model_region: Optional[AllowedModelRegion] = (
-        None  # require all user requests to use models in this specific region
-    )
-    default_model: Optional[str] = (
-        None  # if no equivalent model in allowed region - default all requests to this model
-    )
+    allowed_model_region: Optional[
+        AllowedModelRegion
+    ] = None  # require all user requests to use models in this specific region
+    default_model: Optional[
+        str
+    ] = None  # if no equivalent model in allowed region - default all requests to this model
 
     @model_validator(mode="before")
     @classmethod
@@ -900,12 +900,12 @@ class UpdateCustomerRequest(LiteLLMPydanticObjectBase):
     blocked: bool = False  # allow/disallow requests for this end-user
     max_budget: Optional[float] = None
     budget_id: Optional[str] = None  # give either a budget_id or max_budget
-    allowed_model_region: Optional[AllowedModelRegion] = (
-        None  # require all user requests to use models in this specific region
-    )
-    default_model: Optional[str] = (
-        None  # if no equivalent model in allowed region - default all requests to this model
-    )
+    allowed_model_region: Optional[
+        AllowedModelRegion
+    ] = None  # require all user requests to use models in this specific region
+    default_model: Optional[
+        str
+    ] = None  # if no equivalent model in allowed region - default all requests to this model
 
 
 class DeleteCustomerRequest(LiteLLMPydanticObjectBase):
@@ -1040,9 +1040,9 @@ class BlockKeyRequest(LiteLLMPydanticObjectBase):
 
 class AddTeamCallback(LiteLLMPydanticObjectBase):
     callback_name: str
-    callback_type: Optional[Literal["success", "failure", "success_and_failure"]] = (
-        "success_and_failure"
-    )
+    callback_type: Optional[
+        Literal["success", "failure", "success_and_failure"]
+    ] = "success_and_failure"
     callback_vars: Dict[str, str]
 
     @model_validator(mode="before")
@@ -1299,9 +1299,9 @@ class ConfigList(LiteLLMPydanticObjectBase):
     stored_in_db: Optional[bool]
     field_default_value: Any
     premium_field: bool = False
-    nested_fields: Optional[List[FieldDetail]] = (
-        None  # For nested dictionary or Pydantic fields
-    )
+    nested_fields: Optional[
+        List[FieldDetail]
+    ] = None  # For nested dictionary or Pydantic fields
 
 
 class ConfigGeneralSettings(LiteLLMPydanticObjectBase):
@@ -1567,9 +1567,9 @@ class LiteLLM_OrganizationMembershipTable(LiteLLMPydanticObjectBase):
     budget_id: Optional[str] = None
     created_at: datetime
     updated_at: datetime
-    user: Optional[Any] = (
-        None  # You might want to replace 'Any' with a more specific type if available
-    )
+    user: Optional[
+        Any
+    ] = None  # You might want to replace 'Any' with a more specific type if available
     litellm_budget_table: Optional[LiteLLM_BudgetTable] = None
 
     model_config = ConfigDict(protected_namespaces=())
@@ -2306,9 +2306,9 @@ class TeamModelDeleteRequest(BaseModel):
 # Organization Member Requests
 class OrganizationMemberAddRequest(OrgMemberAddRequest):
     organization_id: str
-    max_budget_in_organization: Optional[float] = (
-        None  # Users max budget within the organization
-    )
+    max_budget_in_organization: Optional[
+        float
+    ] = None  # Users max budget within the organization
 
 
 class OrganizationMemberDeleteRequest(MemberDeleteRequest):
@@ -2497,9 +2497,9 @@ class ProviderBudgetResponse(LiteLLMPydanticObjectBase):
     Maps provider names to their budget configs.
     """
 
-    providers: Dict[str, ProviderBudgetResponseObject] = (
-        {}
-    )  # Dictionary mapping provider names to their budget configurations
+    providers: Dict[
+        str, ProviderBudgetResponseObject
+    ] = {}  # Dictionary mapping provider names to their budget configurations
 
 
 class ProxyStateVariables(TypedDict):
@@ -2627,9 +2627,9 @@ class LiteLLM_JWTAuth(LiteLLMPydanticObjectBase):
     enforce_rbac: bool = False
     roles_jwt_field: Optional[str] = None  # v2 on role mappings
     role_mappings: Optional[List[RoleMapping]] = None
-    object_id_jwt_field: Optional[str] = (
-        None  # can be either user / team, inferred from the role mapping
-    )
+    object_id_jwt_field: Optional[
+        str
+    ] = None  # can be either user / team, inferred from the role mapping
     scope_mappings: Optional[List[ScopeMapping]] = None
     enforce_scope_based_access: bool = False
     enforce_team_based_model_access: bool = False
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index efbfe8d90c..ddd1008bd0 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -11,7 +11,7 @@ Run checks for:
 import asyncio
 import re
 import time
-from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, cast
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union, cast
 
 from fastapi import Request, status
 from pydantic import BaseModel
@@ -49,7 +49,7 @@ from .auth_checks_organization import organization_role_based_access_check
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
@@ -551,7 +551,6 @@ def _get_role_based_permissions(
         return None
 
     for role_based_permission in role_based_permissions:
-
         if role_based_permission.role == rbac_role:
             return getattr(role_based_permission, key)
 
@@ -867,7 +866,6 @@ async def _get_team_object_from_cache(
         proxy_logging_obj is not None
         and proxy_logging_obj.internal_usage_cache.dual_cache
     ):
-
         cached_team_obj = (
             await proxy_logging_obj.internal_usage_cache.dual_cache.async_get_cache(
                 key=key, parent_otel_span=parent_otel_span
@@ -1202,7 +1200,6 @@ async def can_user_call_model(
     llm_router: Optional[Router],
     user_object: Optional[LiteLLM_UserTable],
 ) -> Literal[True]:
-
     if user_object is None:
         return True
 
diff --git a/litellm/proxy/auth/auth_checks_organization.py b/litellm/proxy/auth/auth_checks_organization.py
index 3da3d8ddd1..e96a5c61fc 100644
--- a/litellm/proxy/auth/auth_checks_organization.py
+++ b/litellm/proxy/auth/auth_checks_organization.py
@@ -44,9 +44,10 @@ def organization_role_based_access_check(
 
     # Checks if route is an Org Admin Only Route
     if route in LiteLLMRoutes.org_admin_only_routes.value:
-        _user_organizations, _user_organization_role_mapping = (
-            get_user_organization_info(user_object)
-        )
+        (
+            _user_organizations,
+            _user_organization_role_mapping,
+        ) = get_user_organization_info(user_object)
 
         if user_object.organization_memberships is None:
             raise ProxyException(
@@ -84,9 +85,10 @@ def organization_role_based_access_check(
             )
     elif route == "/team/new":
         # if user is part of multiple teams, then they need to specify the organization_id
-        _user_organizations, _user_organization_role_mapping = (
-            get_user_organization_info(user_object)
-        )
+        (
+            _user_organizations,
+            _user_organization_role_mapping,
+        ) = get_user_organization_info(user_object)
         if (
             user_object.organization_memberships is not None
             and len(user_object.organization_memberships) > 0
diff --git a/litellm/proxy/auth/auth_exception_handler.py b/litellm/proxy/auth/auth_exception_handler.py
index 05797381c6..7c97655141 100644
--- a/litellm/proxy/auth/auth_exception_handler.py
+++ b/litellm/proxy/auth/auth_exception_handler.py
@@ -3,7 +3,7 @@ Handles Authentication Errors
 """
 
 import asyncio
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from fastapi import HTTPException, Request, status
 
@@ -17,13 +17,12 @@ from litellm.types.services import ServiceTypes
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
 
 class UserAPIKeyAuthExceptionHandler:
-
     @staticmethod
     async def _handle_authentication_error(
         e: Exception,
diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py
index 2c4b122d3a..0200457ef9 100644
--- a/litellm/proxy/auth/auth_utils.py
+++ b/litellm/proxy/auth/auth_utils.py
@@ -14,7 +14,6 @@ from litellm.types.router import CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS
 def _get_request_ip_address(
     request: Request, use_x_forwarded_for: Optional[bool] = False
 ) -> Optional[str]:
-
     client_ip = None
     if use_x_forwarded_for is True and "x-forwarded-for" in request.headers:
         client_ip = request.headers["x-forwarded-for"]
@@ -469,7 +468,6 @@ def should_run_auth_on_pass_through_provider_route(route: str) -> bool:
     from litellm.proxy.proxy_server import general_settings, premium_user
 
     if premium_user is not True:
-
         return False
 
     # premium use has opted into using client credentials
diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py
index cc41050198..783c2f1553 100644
--- a/litellm/proxy/auth/handle_jwt.py
+++ b/litellm/proxy/auth/handle_jwt.py
@@ -166,7 +166,6 @@ class JWTHandler:
         self, token: dict, default_value: Optional[str]
     ) -> Optional[str]:
         try:
-
             if self.litellm_jwtauth.end_user_id_jwt_field is not None:
                 user_id = token[self.litellm_jwtauth.end_user_id_jwt_field]
             else:
@@ -339,7 +338,6 @@ class JWTHandler:
         return scopes
 
     async def get_public_key(self, kid: Optional[str]) -> dict:
-
         keys_url = os.getenv("JWT_PUBLIC_KEY_URL")
 
         if keys_url is None:
@@ -348,7 +346,6 @@ class JWTHandler:
         keys_url_list = [url.strip() for url in keys_url.split(",")]
 
         for key_url in keys_url_list:
-
             cache_key = f"litellm_jwt_auth_keys_{key_url}"
 
             cached_keys = await self.user_api_key_cache.async_get_cache(cache_key)
@@ -923,7 +920,6 @@ class JWTAuthManager:
         object_id = jwt_handler.get_object_id(token=jwt_valid_token, default_value=None)
 
         if rbac_role and object_id:
-
             if rbac_role == LitellmUserRoles.TEAM:
                 team_id = object_id
             elif rbac_role == LitellmUserRoles.INTERNAL_USER:
@@ -940,15 +936,16 @@ class JWTAuthManager:
         ## SPECIFIC TEAM ID
 
         if not team_id:
-            team_id, team_object = (
-                await JWTAuthManager.find_and_validate_specific_team_id(
-                    jwt_handler,
-                    jwt_valid_token,
-                    prisma_client,
-                    user_api_key_cache,
-                    parent_otel_span,
-                    proxy_logging_obj,
-                )
+            (
+                team_id,
+                team_object,
+            ) = await JWTAuthManager.find_and_validate_specific_team_id(
+                jwt_handler,
+                jwt_valid_token,
+                prisma_client,
+                user_api_key_cache,
+                parent_otel_span,
+                proxy_logging_obj,
             )
 
         if not team_object and not team_id:
diff --git a/litellm/proxy/auth/litellm_license.py b/litellm/proxy/auth/litellm_license.py
index 67ec91f51a..d962aad2c0 100644
--- a/litellm/proxy/auth/litellm_license.py
+++ b/litellm/proxy/auth/litellm_license.py
@@ -45,7 +45,6 @@ class LicenseCheck:
             verbose_proxy_logger.error(f"Error reading public key: {str(e)}")
 
     def _verify(self, license_str: str) -> bool:
-
         verbose_proxy_logger.debug(
             "litellm.proxy.auth.litellm_license.py::_verify - Checking license against {}/verify_license - {}".format(
                 self.base_url, license_str
diff --git a/litellm/proxy/auth/model_checks.py b/litellm/proxy/auth/model_checks.py
index a48ef6ae87..f0f730138f 100644
--- a/litellm/proxy/auth/model_checks.py
+++ b/litellm/proxy/auth/model_checks.py
@@ -178,7 +178,6 @@ def _get_wildcard_models(
     all_wildcard_models = []
     for model in unique_models:
         if _check_wildcard_routing(model=model):
-
             if (
                 return_wildcard_routes
             ):  # will add the wildcard route to the list eg: anthropic/*.
diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py
index 8f956abb72..41529512b6 100644
--- a/litellm/proxy/auth/route_checks.py
+++ b/litellm/proxy/auth/route_checks.py
@@ -16,7 +16,6 @@ from .auth_checks_organization import _user_is_org_admin
 
 
 class RouteChecks:
-
     @staticmethod
     def non_proxy_admin_allowed_routes_check(
         user_obj: Optional[LiteLLM_UserTable],
@@ -67,7 +66,6 @@ class RouteChecks:
             and getattr(valid_token, "permissions", None) is not None
             and "get_spend_routes" in getattr(valid_token, "permissions", [])
         ):
-
             pass
         elif _user_role == LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value:
             if RouteChecks.is_llm_api_route(route=route):
@@ -80,7 +78,6 @@ class RouteChecks:
             ):
                 # the Admin Viewer is only allowed to call /user/update for their own user_id and can only update
                 if route == "/user/update":
-
                     # Check the Request params are valid for PROXY_ADMIN_VIEW_ONLY
                     if request_data is not None and isinstance(request_data, dict):
                         _params_updated = request_data.keys()
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index b58353bf05..eddbf4e0d9 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -206,7 +206,6 @@ def get_rbac_role(jwt_handler: JWTHandler, scopes: List[str]) -> str:
 
 
 def get_model_from_request(request_data: dict, route: str) -> Optional[str]:
-
     # First try to get model from request_data
     model = request_data.get("model")
 
@@ -229,7 +228,6 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
     azure_apim_header: Optional[str],
     request_data: dict,
 ) -> UserAPIKeyAuth:
-
     from litellm.proxy.proxy_server import (
         general_settings,
         jwt_handler,
@@ -251,7 +249,6 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
     valid_token: Optional[UserAPIKeyAuth] = None
 
     try:
-
         # get the request body
 
         await pre_db_read_auth_checks(
@@ -514,23 +511,23 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
                     proxy_logging_obj=proxy_logging_obj,
                 )
                 if _end_user_object is not None:
-                    end_user_params["allowed_model_region"] = (
-                        _end_user_object.allowed_model_region
-                    )
+                    end_user_params[
+                        "allowed_model_region"
+                    ] = _end_user_object.allowed_model_region
                     if _end_user_object.litellm_budget_table is not None:
                         budget_info = _end_user_object.litellm_budget_table
                         if budget_info.tpm_limit is not None:
-                            end_user_params["end_user_tpm_limit"] = (
-                                budget_info.tpm_limit
-                            )
+                            end_user_params[
+                                "end_user_tpm_limit"
+                            ] = budget_info.tpm_limit
                         if budget_info.rpm_limit is not None:
-                            end_user_params["end_user_rpm_limit"] = (
-                                budget_info.rpm_limit
-                            )
+                            end_user_params[
+                                "end_user_rpm_limit"
+                            ] = budget_info.rpm_limit
                         if budget_info.max_budget is not None:
-                            end_user_params["end_user_max_budget"] = (
-                                budget_info.max_budget
-                            )
+                            end_user_params[
+                                "end_user_max_budget"
+                            ] = budget_info.max_budget
             except Exception as e:
                 if isinstance(e, litellm.BudgetExceededError):
                     raise e
@@ -801,7 +798,6 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
             # Check 3. Check if user is in their team budget
             if valid_token.team_member_spend is not None:
                 if prisma_client is not None:
-
                     _cache_key = f"{valid_token.team_id}_{valid_token.user_id}"
 
                     team_member_info = await user_api_key_cache.async_get_cache(
diff --git a/litellm/proxy/common_utils/encrypt_decrypt_utils.py b/litellm/proxy/common_utils/encrypt_decrypt_utils.py
index ec9279a089..3452734867 100644
--- a/litellm/proxy/common_utils/encrypt_decrypt_utils.py
+++ b/litellm/proxy/common_utils/encrypt_decrypt_utils.py
@@ -21,7 +21,6 @@ def _get_salt_key():
 
 
 def encrypt_value_helper(value: str, new_encryption_key: Optional[str] = None):
-
     signing_key = new_encryption_key or _get_salt_key()
 
     try:
@@ -41,7 +40,6 @@ def encrypt_value_helper(value: str, new_encryption_key: Optional[str] = None):
 
 
 def decrypt_value_helper(value: str):
-
     signing_key = _get_salt_key()
 
     try:
diff --git a/litellm/proxy/common_utils/http_parsing_utils.py b/litellm/proxy/common_utils/http_parsing_utils.py
index 5736ee2152..7220ccaa65 100644
--- a/litellm/proxy/common_utils/http_parsing_utils.py
+++ b/litellm/proxy/common_utils/http_parsing_utils.py
@@ -142,10 +142,10 @@ def check_file_size_under_limit(
 
     if llm_router is not None and request_data["model"] in router_model_names:
         try:
-            deployment: Optional[Deployment] = (
-                llm_router.get_deployment_by_model_group_name(
-                    model_group_name=request_data["model"]
-                )
+            deployment: Optional[
+                Deployment
+            ] = llm_router.get_deployment_by_model_group_name(
+                model_group_name=request_data["model"]
             )
             if (
                 deployment
diff --git a/litellm/proxy/db/log_db_metrics.py b/litellm/proxy/db/log_db_metrics.py
index 9bd3350793..5c79515532 100644
--- a/litellm/proxy/db/log_db_metrics.py
+++ b/litellm/proxy/db/log_db_metrics.py
@@ -36,7 +36,6 @@ def log_db_metrics(func):
 
     @wraps(func)
     async def wrapper(*args, **kwargs):
-
         start_time: datetime = datetime.now()
 
         try:
diff --git a/litellm/proxy/db/redis_update_buffer.py b/litellm/proxy/db/redis_update_buffer.py
index f77c839aaf..f98fc9300f 100644
--- a/litellm/proxy/db/redis_update_buffer.py
+++ b/litellm/proxy/db/redis_update_buffer.py
@@ -43,9 +43,9 @@ class RedisUpdateBuffer:
         """
         from litellm.proxy.proxy_server import general_settings
 
-        _use_redis_transaction_buffer: Optional[Union[bool, str]] = (
-            general_settings.get("use_redis_transaction_buffer", False)
-        )
+        _use_redis_transaction_buffer: Optional[
+            Union[bool, str]
+        ] = general_settings.get("use_redis_transaction_buffer", False)
         if isinstance(_use_redis_transaction_buffer, str):
             _use_redis_transaction_buffer = str_to_bool(_use_redis_transaction_buffer)
         if _use_redis_transaction_buffer is None:
@@ -78,15 +78,13 @@ class RedisUpdateBuffer:
                 "redis_cache is None, skipping store_in_memory_spend_updates_in_redis"
             )
             return
-        db_spend_update_transactions: DBSpendUpdateTransactions = (
-            DBSpendUpdateTransactions(
-                user_list_transactions=prisma_client.user_list_transactions,
-                end_user_list_transactions=prisma_client.end_user_list_transactions,
-                key_list_transactions=prisma_client.key_list_transactions,
-                team_list_transactions=prisma_client.team_list_transactions,
-                team_member_list_transactions=prisma_client.team_member_list_transactions,
-                org_list_transactions=prisma_client.org_list_transactions,
-            )
+        db_spend_update_transactions: DBSpendUpdateTransactions = DBSpendUpdateTransactions(
+            user_list_transactions=prisma_client.user_list_transactions,
+            end_user_list_transactions=prisma_client.end_user_list_transactions,
+            key_list_transactions=prisma_client.key_list_transactions,
+            team_list_transactions=prisma_client.team_list_transactions,
+            team_member_list_transactions=prisma_client.team_member_list_transactions,
+            org_list_transactions=prisma_client.org_list_transactions,
         )
 
         # only store in redis if there are any updates to commit
diff --git a/litellm/proxy/guardrails/guardrail_helpers.py b/litellm/proxy/guardrails/guardrail_helpers.py
index c351f9f762..e970311460 100644
--- a/litellm/proxy/guardrails/guardrail_helpers.py
+++ b/litellm/proxy/guardrails/guardrail_helpers.py
@@ -45,7 +45,6 @@ async def should_proceed_based_on_metadata(data: dict, guardrail_name: str) -> b
 
             # v1 implementation of this
             if isinstance(request_guardrails, dict):
-
                 # get guardrail configs from `init_guardrails.py`
                 # for all requested guardrails -> get their associated callbacks
                 for _guardrail_name, should_run in request_guardrails.items():
diff --git a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py
index 7686fba7cf..5c6b53be25 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py
@@ -192,7 +192,6 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM):
     async def make_bedrock_api_request(
         self, kwargs: dict, response: Optional[Union[Any, litellm.ModelResponse]] = None
     ):
-
         credentials, aws_region_name = self._load_credentials()
         bedrock_request_data: dict = dict(
             self.convert_to_bedrock_format(
diff --git a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai.py b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai.py
index 5d3b8be334..2dd8a3154a 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/lakera_ai.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/lakera_ai.py
@@ -148,9 +148,9 @@ class lakeraAI_Moderation(CustomGuardrail):
         text = ""
         _json_data: str = ""
         if "messages" in data and isinstance(data["messages"], list):
-            prompt_injection_obj: Optional[GuardrailItem] = (
-                litellm.guardrail_name_config_map.get("prompt_injection")
-            )
+            prompt_injection_obj: Optional[
+                GuardrailItem
+            ] = litellm.guardrail_name_config_map.get("prompt_injection")
             if prompt_injection_obj is not None:
                 enabled_roles = prompt_injection_obj.enabled_roles
             else:
diff --git a/litellm/proxy/guardrails/guardrail_hooks/presidio.py b/litellm/proxy/guardrails/guardrail_hooks/presidio.py
index 86d2c8b25a..0c7d2a1fe6 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/presidio.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/presidio.py
@@ -95,9 +95,11 @@ class _OPTIONAL_PresidioPIIMasking(CustomGuardrail):
         presidio_analyzer_api_base: Optional[str] = None,
         presidio_anonymizer_api_base: Optional[str] = None,
     ):
-        self.presidio_analyzer_api_base: Optional[str] = (
-            presidio_analyzer_api_base or get_secret("PRESIDIO_ANALYZER_API_BASE", None)  # type: ignore
-        )
+        self.presidio_analyzer_api_base: Optional[
+            str
+        ] = presidio_analyzer_api_base or get_secret(
+            "PRESIDIO_ANALYZER_API_BASE", None
+        )  # type: ignore
         self.presidio_anonymizer_api_base: Optional[
             str
         ] = presidio_anonymizer_api_base or litellm.get_secret(
@@ -168,7 +170,6 @@ class _OPTIONAL_PresidioPIIMasking(CustomGuardrail):
                     async with session.post(
                         analyze_url, json=analyze_payload
                     ) as response:
-
                         analyze_results = await response.json()
 
                     # Make the second request to /anonymize
@@ -228,7 +229,6 @@ class _OPTIONAL_PresidioPIIMasking(CustomGuardrail):
         """
 
         try:
-
             content_safety = data.get("content_safety", None)
             verbose_proxy_logger.debug("content_safety: %s", content_safety)
             presidio_config = self.get_presidio_settings_from_request_data(data)
diff --git a/litellm/proxy/hooks/dynamic_rate_limiter.py b/litellm/proxy/hooks/dynamic_rate_limiter.py
index 15a9bc1ba8..e06366d02b 100644
--- a/litellm/proxy/hooks/dynamic_rate_limiter.py
+++ b/litellm/proxy/hooks/dynamic_rate_limiter.py
@@ -71,7 +71,6 @@ class DynamicRateLimiterCache:
 
 
 class _PROXY_DynamicRateLimitHandler(CustomLogger):
-
     # Class variables or attributes
     def __init__(self, internal_usage_cache: DualCache):
         self.internal_usage_cache = DynamicRateLimiterCache(cache=internal_usage_cache)
@@ -121,12 +120,13 @@ class _PROXY_DynamicRateLimitHandler(CustomLogger):
             active_projects = await self.internal_usage_cache.async_get_cache(
                 model=model
             )
-            current_model_tpm, current_model_rpm = (
-                await self.llm_router.get_model_group_usage(model_group=model)
-            )
-            model_group_info: Optional[ModelGroupInfo] = (
-                self.llm_router.get_model_group_info(model_group=model)
-            )
+            (
+                current_model_tpm,
+                current_model_rpm,
+            ) = await self.llm_router.get_model_group_usage(model_group=model)
+            model_group_info: Optional[
+                ModelGroupInfo
+            ] = self.llm_router.get_model_group_info(model_group=model)
             total_model_tpm: Optional[int] = None
             total_model_rpm: Optional[int] = None
             if model_group_info is not None:
@@ -210,10 +210,14 @@ class _PROXY_DynamicRateLimitHandler(CustomLogger):
             key_priority: Optional[str] = user_api_key_dict.metadata.get(
                 "priority", None
             )
-            available_tpm, available_rpm, model_tpm, model_rpm, active_projects = (
-                await self.check_available_usage(
-                    model=data["model"], priority=key_priority
-                )
+            (
+                available_tpm,
+                available_rpm,
+                model_tpm,
+                model_rpm,
+                active_projects,
+            ) = await self.check_available_usage(
+                model=data["model"], priority=key_priority
             )
             ### CHECK TPM ###
             if available_tpm is not None and available_tpm == 0:
@@ -267,21 +271,25 @@ class _PROXY_DynamicRateLimitHandler(CustomLogger):
                 key_priority: Optional[str] = user_api_key_dict.metadata.get(
                     "priority", None
                 )
-                available_tpm, available_rpm, model_tpm, model_rpm, active_projects = (
-                    await self.check_available_usage(
-                        model=model_info["model_name"], priority=key_priority
-                    )
-                )
-                response._hidden_params["additional_headers"] = (
-                    {  # Add additional response headers - easier debugging
-                        "x-litellm-model_group": model_info["model_name"],
-                        "x-ratelimit-remaining-litellm-project-tokens": available_tpm,
-                        "x-ratelimit-remaining-litellm-project-requests": available_rpm,
-                        "x-ratelimit-remaining-model-tokens": model_tpm,
-                        "x-ratelimit-remaining-model-requests": model_rpm,
-                        "x-ratelimit-current-active-projects": active_projects,
-                    }
+                (
+                    available_tpm,
+                    available_rpm,
+                    model_tpm,
+                    model_rpm,
+                    active_projects,
+                ) = await self.check_available_usage(
+                    model=model_info["model_name"], priority=key_priority
                 )
+                response._hidden_params[
+                    "additional_headers"
+                ] = {  # Add additional response headers - easier debugging
+                    "x-litellm-model_group": model_info["model_name"],
+                    "x-ratelimit-remaining-litellm-project-tokens": available_tpm,
+                    "x-ratelimit-remaining-litellm-project-requests": available_rpm,
+                    "x-ratelimit-remaining-model-tokens": model_tpm,
+                    "x-ratelimit-remaining-model-requests": model_rpm,
+                    "x-ratelimit-current-active-projects": active_projects,
+                }
 
                 return response
             return await super().async_post_call_success_hook(
diff --git a/litellm/proxy/hooks/key_management_event_hooks.py b/litellm/proxy/hooks/key_management_event_hooks.py
index 2030cb2a45..c2c4f0669f 100644
--- a/litellm/proxy/hooks/key_management_event_hooks.py
+++ b/litellm/proxy/hooks/key_management_event_hooks.py
@@ -28,7 +28,6 @@ LITELLM_PREFIX_STORED_VIRTUAL_KEYS = "litellm/"
 
 
 class KeyManagementEventHooks:
-
     @staticmethod
     async def async_key_generated_hook(
         data: GenerateKeyRequest,
diff --git a/litellm/proxy/hooks/parallel_request_limiter.py b/litellm/proxy/hooks/parallel_request_limiter.py
index 06f3b6afe5..242c013d67 100644
--- a/litellm/proxy/hooks/parallel_request_limiter.py
+++ b/litellm/proxy/hooks/parallel_request_limiter.py
@@ -22,7 +22,7 @@ if TYPE_CHECKING:
 
     from litellm.proxy.utils import InternalUsageCache as _InternalUsageCache
 
-    Span = _Span
+    Span = Union[_Span, Any]
     InternalUsageCache = _InternalUsageCache
 else:
     Span = Any
@@ -201,7 +201,9 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
         if rpm_limit is None:
             rpm_limit = sys.maxsize
 
-        values_to_update_in_cache: List[Tuple[Any, Any]] = (
+        values_to_update_in_cache: List[
+            Tuple[Any, Any]
+        ] = (
             []
         )  # values that need to get updated in cache, will run a batch_set_cache after this function
 
@@ -678,9 +680,9 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
     async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
         try:
             self.print_verbose("Inside Max Parallel Request Failure Hook")
-            litellm_parent_otel_span: Union[Span, None] = (
-                _get_parent_otel_span_from_kwargs(kwargs=kwargs)
-            )
+            litellm_parent_otel_span: Union[
+                Span, None
+            ] = _get_parent_otel_span_from_kwargs(kwargs=kwargs)
             _metadata = kwargs["litellm_params"].get("metadata", {}) or {}
             global_max_parallel_requests = _metadata.get(
                 "global_max_parallel_requests", None
@@ -807,11 +809,11 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
         current_minute = datetime.now().strftime("%M")
         precise_minute = f"{current_date}-{current_hour}-{current_minute}"
         request_count_api_key = f"{api_key}::{precise_minute}::request_count"
-        current: Optional[CurrentItemRateLimit] = (
-            await self.internal_usage_cache.async_get_cache(
-                key=request_count_api_key,
-                litellm_parent_otel_span=user_api_key_dict.parent_otel_span,
-            )
+        current: Optional[
+            CurrentItemRateLimit
+        ] = await self.internal_usage_cache.async_get_cache(
+            key=request_count_api_key,
+            litellm_parent_otel_span=user_api_key_dict.parent_otel_span,
         )
 
         key_remaining_rpm_limit: Optional[int] = None
@@ -843,15 +845,15 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
             _additional_headers = _hidden_params.get("additional_headers", {}) or {}
 
             if key_remaining_rpm_limit is not None:
-                _additional_headers["x-ratelimit-remaining-requests"] = (
-                    key_remaining_rpm_limit
-                )
+                _additional_headers[
+                    "x-ratelimit-remaining-requests"
+                ] = key_remaining_rpm_limit
             if key_rpm_limit is not None:
                 _additional_headers["x-ratelimit-limit-requests"] = key_rpm_limit
             if key_remaining_tpm_limit is not None:
-                _additional_headers["x-ratelimit-remaining-tokens"] = (
-                    key_remaining_tpm_limit
-                )
+                _additional_headers[
+                    "x-ratelimit-remaining-tokens"
+                ] = key_remaining_tpm_limit
             if key_tpm_limit is not None:
                 _additional_headers["x-ratelimit-limit-tokens"] = key_tpm_limit
 
diff --git a/litellm/proxy/hooks/prompt_injection_detection.py b/litellm/proxy/hooks/prompt_injection_detection.py
index b1b2bbee5c..b8fa8466a3 100644
--- a/litellm/proxy/hooks/prompt_injection_detection.py
+++ b/litellm/proxy/hooks/prompt_injection_detection.py
@@ -196,7 +196,6 @@ class _OPTIONAL_PromptInjectionDetection(CustomLogger):
             return data
 
         except HTTPException as e:
-
             if (
                 e.status_code == 400
                 and isinstance(e.detail, dict)
diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py
index f205b0146f..39c1eeace9 100644
--- a/litellm/proxy/hooks/proxy_track_cost_callback.py
+++ b/litellm/proxy/hooks/proxy_track_cost_callback.py
@@ -51,10 +51,10 @@ class _ProxyDBLogger(CustomLogger):
         )
         _metadata["user_api_key"] = user_api_key_dict.api_key
         _metadata["status"] = "failure"
-        _metadata["error_information"] = (
-            StandardLoggingPayloadSetup.get_error_information(
-                original_exception=original_exception,
-            )
+        _metadata[
+            "error_information"
+        ] = StandardLoggingPayloadSetup.get_error_information(
+            original_exception=original_exception,
         )
 
         existing_metadata: dict = request_data.get("metadata", None) or {}
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index ece5ecf4b7..6427be5a6e 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -346,11 +346,11 @@ class LiteLLMProxyRequestSetup:
 
         ## KEY-LEVEL SPEND LOGS / TAGS
         if "tags" in key_metadata and key_metadata["tags"] is not None:
-            data[_metadata_variable_name]["tags"] = (
-                LiteLLMProxyRequestSetup._merge_tags(
-                    request_tags=data[_metadata_variable_name].get("tags"),
-                    tags_to_add=key_metadata["tags"],
-                )
+            data[_metadata_variable_name][
+                "tags"
+            ] = LiteLLMProxyRequestSetup._merge_tags(
+                request_tags=data[_metadata_variable_name].get("tags"),
+                tags_to_add=key_metadata["tags"],
             )
         if "spend_logs_metadata" in key_metadata and isinstance(
             key_metadata["spend_logs_metadata"], dict
@@ -556,9 +556,9 @@ async def add_litellm_data_to_request(  # noqa: PLR0915
     data[_metadata_variable_name]["litellm_api_version"] = version
 
     if general_settings is not None:
-        data[_metadata_variable_name]["global_max_parallel_requests"] = (
-            general_settings.get("global_max_parallel_requests", None)
-        )
+        data[_metadata_variable_name][
+            "global_max_parallel_requests"
+        ] = general_settings.get("global_max_parallel_requests", None)
 
     ### KEY-LEVEL Controls
     key_metadata = user_api_key_dict.metadata
diff --git a/litellm/proxy/management_endpoints/budget_management_endpoints.py b/litellm/proxy/management_endpoints/budget_management_endpoints.py
index 20aa1c6bbf..65b0156afe 100644
--- a/litellm/proxy/management_endpoints/budget_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/budget_management_endpoints.py
@@ -197,7 +197,6 @@ async def budget_settings(
 
     for field_name, field_info in BudgetNewRequest.model_fields.items():
         if field_name in allowed_args:
-
             _stored_in_db = True
 
             _response_obj = ConfigList(
diff --git a/litellm/proxy/management_endpoints/common_utils.py b/litellm/proxy/management_endpoints/common_utils.py
index d80a06c597..550ff44616 100644
--- a/litellm/proxy/management_endpoints/common_utils.py
+++ b/litellm/proxy/management_endpoints/common_utils.py
@@ -16,7 +16,6 @@ def _is_user_team_admin(
         if (
             member.user_id is not None and member.user_id == user_api_key_dict.user_id
         ) and member.role == "admin":
-
             return True
 
     return False
diff --git a/litellm/proxy/management_endpoints/customer_endpoints.py b/litellm/proxy/management_endpoints/customer_endpoints.py
index 976ff8581f..1f6f846bc7 100644
--- a/litellm/proxy/management_endpoints/customer_endpoints.py
+++ b/litellm/proxy/management_endpoints/customer_endpoints.py
@@ -230,7 +230,6 @@ async def new_end_user(
             detail={"error": CommonProxyErrors.db_not_connected_error.value},
         )
     try:
-
         ## VALIDATION ##
         if data.default_model is not None:
             if llm_router is None:
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index 79de6da1fd..90444013a8 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -82,9 +82,9 @@ def _update_internal_new_user_params(data_json: dict, data: NewUserRequest) -> d
         data_json["user_id"] = str(uuid.uuid4())
     auto_create_key = data_json.pop("auto_create_key", True)
     if auto_create_key is False:
-        data_json["table_name"] = (
-            "user"  # only create a user, don't create key if 'auto_create_key' set to False
-        )
+        data_json[
+            "table_name"
+        ] = "user"  # only create a user, don't create key if 'auto_create_key' set to False
 
     is_internal_user = False
     if data.user_role and data.user_role.is_internal_user_role:
@@ -370,7 +370,6 @@ async def ui_get_available_role(
 
     _data_to_return = {}
     for role in LitellmUserRoles:
-
         # We only show a subset of roles on UI
         if role in [
             LitellmUserRoles.PROXY_ADMIN,
@@ -652,9 +651,9 @@ def _update_internal_user_params(data_json: dict, data: UpdateUserRequest) -> di
         "budget_duration" not in non_default_values
     ):  # applies internal user limits, if user role updated
         if is_internal_user and litellm.internal_user_budget_duration is not None:
-            non_default_values["budget_duration"] = (
-                litellm.internal_user_budget_duration
-            )
+            non_default_values[
+                "budget_duration"
+            ] = litellm.internal_user_budget_duration
             duration_s = duration_in_seconds(
                 duration=non_default_values["budget_duration"]
             )
@@ -965,13 +964,13 @@ async def get_users(
             "in": user_id_list,  # Now passing a list of strings as required by Prisma
         }
 
-    users: Optional[List[LiteLLM_UserTable]] = (
-        await prisma_client.db.litellm_usertable.find_many(
-            where=where_conditions,
-            skip=skip,
-            take=page_size,
-            order={"created_at": "desc"},
-        )
+    users: Optional[
+        List[LiteLLM_UserTable]
+    ] = await prisma_client.db.litellm_usertable.find_many(
+        where=where_conditions,
+        skip=skip,
+        take=page_size,
+        order={"created_at": "desc"},
     )
 
     # Get total count of user rows
@@ -1226,13 +1225,13 @@ async def ui_view_users(
             }
 
         # Query users with pagination and filters
-        users: Optional[List[BaseModel]] = (
-            await prisma_client.db.litellm_usertable.find_many(
-                where=where_conditions,
-                skip=skip,
-                take=page_size,
-                order={"created_at": "desc"},
-            )
+        users: Optional[
+            List[BaseModel]
+        ] = await prisma_client.db.litellm_usertable.find_many(
+            where=where_conditions,
+            skip=skip,
+            take=page_size,
+            order={"created_at": "desc"},
         )
 
         if not users:
diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py
index 9141d9d14a..b0bf1fb619 100644
--- a/litellm/proxy/management_endpoints/key_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/key_management_endpoints.py
@@ -227,7 +227,6 @@ def _personal_key_membership_check(
 def _personal_key_generation_check(
     user_api_key_dict: UserAPIKeyAuth, data: GenerateKeyRequest
 ):
-
     if (
         litellm.key_generation_settings is None
         or litellm.key_generation_settings.get("personal_key_generation") is None
@@ -568,9 +567,9 @@ async def generate_key_fn(  # noqa: PLR0915
             request_type="key", **data_json, table_name="key"
         )
 
-        response["soft_budget"] = (
-            data.soft_budget
-        )  # include the user-input soft budget in the response
+        response[
+            "soft_budget"
+        ] = data.soft_budget  # include the user-input soft budget in the response
 
         response = GenerateKeyResponse(**response)
 
@@ -1448,10 +1447,10 @@ async def delete_verification_tokens(
     try:
         if prisma_client:
             tokens = [_hash_token_if_needed(token=key) for key in tokens]
-            _keys_being_deleted: List[LiteLLM_VerificationToken] = (
-                await prisma_client.db.litellm_verificationtoken.find_many(
-                    where={"token": {"in": tokens}}
-                )
+            _keys_being_deleted: List[
+                LiteLLM_VerificationToken
+            ] = await prisma_client.db.litellm_verificationtoken.find_many(
+                where={"token": {"in": tokens}}
             )
 
             # Assuming 'db' is your Prisma Client instance
@@ -1553,9 +1552,9 @@ async def _rotate_master_key(
     from litellm.proxy.proxy_server import proxy_config
 
     try:
-        models: Optional[List] = (
-            await prisma_client.db.litellm_proxymodeltable.find_many()
-        )
+        models: Optional[
+            List
+        ] = await prisma_client.db.litellm_proxymodeltable.find_many()
     except Exception:
         models = None
     # 2. process model table
@@ -1677,7 +1676,6 @@ async def regenerate_key_fn(
     Note: This is an Enterprise feature. It requires a premium license to use.
     """
     try:
-
         from litellm.proxy.proxy_server import (
             hash_token,
             master_key,
@@ -1824,7 +1822,6 @@ async def validate_key_list_check(
     key_alias: Optional[str],
     prisma_client: PrismaClient,
 ) -> Optional[LiteLLM_UserTable]:
-
     if user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value:
         return None
 
@@ -1835,11 +1832,11 @@ async def validate_key_list_check(
             param="user_id",
             code=status.HTTP_403_FORBIDDEN,
         )
-    complete_user_info_db_obj: Optional[BaseModel] = (
-        await prisma_client.db.litellm_usertable.find_unique(
-            where={"user_id": user_api_key_dict.user_id},
-            include={"organization_memberships": True},
-        )
+    complete_user_info_db_obj: Optional[
+        BaseModel
+    ] = await prisma_client.db.litellm_usertable.find_unique(
+        where={"user_id": user_api_key_dict.user_id},
+        include={"organization_memberships": True},
     )
 
     if complete_user_info_db_obj is None:
@@ -1900,10 +1897,10 @@ async def get_admin_team_ids(
     if complete_user_info is None:
         return []
     # Get all teams that user is an admin of
-    teams: Optional[List[BaseModel]] = (
-        await prisma_client.db.litellm_teamtable.find_many(
-            where={"team_id": {"in": complete_user_info.teams}}
-        )
+    teams: Optional[
+        List[BaseModel]
+    ] = await prisma_client.db.litellm_teamtable.find_many(
+        where={"team_id": {"in": complete_user_info.teams}}
     )
     if teams is None:
         return []
diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 88245e36d1..0e8a9e4cc8 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -399,7 +399,6 @@ class ModelManagementAuthChecks:
         prisma_client: PrismaClient,
         premium_user: bool,
     ) -> Literal[True]:
-
         ## Check team model auth
         if (
             model_params.model_info is not None
@@ -579,7 +578,6 @@ async def add_new_model(
     )
 
     try:
-
         if prisma_client is None:
             raise HTTPException(
                 status_code=500,
@@ -717,7 +715,6 @@ async def update_model(
     )
 
     try:
-
         if prisma_client is None:
             raise HTTPException(
                 status_code=500,
diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py
index c202043fbe..37de12a9d2 100644
--- a/litellm/proxy/management_endpoints/organization_endpoints.py
+++ b/litellm/proxy/management_endpoints/organization_endpoints.py
@@ -358,11 +358,11 @@ async def info_organization(organization_id: str):
     if prisma_client is None:
         raise HTTPException(status_code=500, detail={"error": "No db connected"})
 
-    response: Optional[LiteLLM_OrganizationTableWithMembers] = (
-        await prisma_client.db.litellm_organizationtable.find_unique(
-            where={"organization_id": organization_id},
-            include={"litellm_budget_table": True, "members": True, "teams": True},
-        )
+    response: Optional[
+        LiteLLM_OrganizationTableWithMembers
+    ] = await prisma_client.db.litellm_organizationtable.find_unique(
+        where={"organization_id": organization_id},
+        include={"litellm_budget_table": True, "members": True, "teams": True},
     )
 
     if response is None:
@@ -486,12 +486,13 @@ async def organization_member_add(
         updated_organization_memberships: List[LiteLLM_OrganizationMembershipTable] = []
 
         for member in members:
-            updated_user, updated_organization_membership = (
-                await add_member_to_organization(
-                    member=member,
-                    organization_id=data.organization_id,
-                    prisma_client=prisma_client,
-                )
+            (
+                updated_user,
+                updated_organization_membership,
+            ) = await add_member_to_organization(
+                member=member,
+                organization_id=data.organization_id,
+                prisma_client=prisma_client,
             )
 
             updated_users.append(updated_user)
@@ -657,16 +658,16 @@ async def organization_member_update(
                 },
                 data={"budget_id": budget_id},
             )
-        final_organization_membership: Optional[BaseModel] = (
-            await prisma_client.db.litellm_organizationmembership.find_unique(
-                where={
-                    "user_id_organization_id": {
-                        "user_id": data.user_id,
-                        "organization_id": data.organization_id,
-                    }
-                },
-                include={"litellm_budget_table": True},
-            )
+        final_organization_membership: Optional[
+            BaseModel
+        ] = await prisma_client.db.litellm_organizationmembership.find_unique(
+            where={
+                "user_id_organization_id": {
+                    "user_id": data.user_id,
+                    "organization_id": data.organization_id,
+                }
+            },
+            include={"litellm_budget_table": True},
         )
 
         if final_organization_membership is None:
diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py
index f5bcc6ba11..842b5c8e75 100644
--- a/litellm/proxy/management_endpoints/team_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_endpoints.py
@@ -506,12 +506,12 @@ async def update_team(
             updated_kv["model_id"] = _model_id
 
     updated_kv = prisma_client.jsonify_team_object(db_data=updated_kv)
-    team_row: Optional[LiteLLM_TeamTable] = (
-        await prisma_client.db.litellm_teamtable.update(
-            where={"team_id": data.team_id},
-            data=updated_kv,
-            include={"litellm_model_table": True},  # type: ignore
-        )
+    team_row: Optional[
+        LiteLLM_TeamTable
+    ] = await prisma_client.db.litellm_teamtable.update(
+        where={"team_id": data.team_id},
+        data=updated_kv,
+        include={"litellm_model_table": True},  # type: ignore
     )
 
     if team_row is None or team_row.team_id is None:
@@ -1137,10 +1137,10 @@ async def delete_team(
     team_rows: List[LiteLLM_TeamTable] = []
     for team_id in data.team_ids:
         try:
-            team_row_base: Optional[BaseModel] = (
-                await prisma_client.db.litellm_teamtable.find_unique(
-                    where={"team_id": team_id}
-                )
+            team_row_base: Optional[
+                BaseModel
+            ] = await prisma_client.db.litellm_teamtable.find_unique(
+                where={"team_id": team_id}
             )
             if team_row_base is None:
                 raise Exception
@@ -1298,10 +1298,10 @@ async def team_info(
             )
 
         try:
-            team_info: Optional[BaseModel] = (
-                await prisma_client.db.litellm_teamtable.find_unique(
-                    where={"team_id": team_id}
-                )
+            team_info: Optional[
+                BaseModel
+            ] = await prisma_client.db.litellm_teamtable.find_unique(
+                where={"team_id": team_id}
             )
             if team_info is None:
                 raise Exception
diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py
index 86dec9fcaf..d38ff6b536 100644
--- a/litellm/proxy/management_endpoints/ui_sso.py
+++ b/litellm/proxy/management_endpoints/ui_sso.py
@@ -213,9 +213,9 @@ async def google_login(request: Request):  # noqa: PLR0915
             if state:
                 redirect_params["state"] = state
             elif "okta" in generic_authorization_endpoint:
-                redirect_params["state"] = (
-                    uuid.uuid4().hex
-                )  # set state param for okta - required
+                redirect_params[
+                    "state"
+                ] = uuid.uuid4().hex  # set state param for okta - required
             return await generic_sso.get_login_redirect(**redirect_params)  # type: ignore
     elif ui_username is not None:
         # No Google, Microsoft SSO
@@ -725,9 +725,9 @@ async def insert_sso_user(
         if user_defined_values.get("max_budget") is None:
             user_defined_values["max_budget"] = litellm.max_internal_user_budget
         if user_defined_values.get("budget_duration") is None:
-            user_defined_values["budget_duration"] = (
-                litellm.internal_user_budget_duration
-            )
+            user_defined_values[
+                "budget_duration"
+            ] = litellm.internal_user_budget_duration
 
     if user_defined_values["user_role"] is None:
         user_defined_values["user_role"] = LitellmUserRoles.INTERNAL_USER_VIEW_ONLY
diff --git a/litellm/proxy/management_helpers/utils.py b/litellm/proxy/management_helpers/utils.py
index 69a5cf9141..cb8e079b76 100644
--- a/litellm/proxy/management_helpers/utils.py
+++ b/litellm/proxy/management_helpers/utils.py
@@ -179,7 +179,7 @@ def _delete_api_key_from_cache(kwargs):
             user_api_key_cache.delete_cache(key=update_request.key)
 
         # delete key request
-        if isinstance(update_request, KeyRequest):
+        if isinstance(update_request, KeyRequest) and update_request.keys:
             for key in update_request.keys:
                 user_api_key_cache.delete_cache(key=key)
     pass
@@ -251,7 +251,6 @@ async def send_management_endpoint_alert(
         proxy_logging_obj is not None
         and proxy_logging_obj.slack_alerting_instance is not None
     ):
-
         # Virtual Key Events
         if function_name in management_function_to_event_name:
             _event_name: AlertType = management_function_to_event_name[function_name]
diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py
index ffbca91c69..e810ba026e 100644
--- a/litellm/proxy/openai_files_endpoints/files_endpoints.py
+++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py
@@ -316,7 +316,6 @@ async def get_file_content(
 
     data: Dict = {}
     try:
-
         # Include original request and headers in the data
         data = await add_litellm_data_to_request(
             data=data,
diff --git a/litellm/proxy/pass_through_endpoints/llm_provider_handlers/anthropic_passthrough_logging_handler.py b/litellm/proxy/pass_through_endpoints/llm_provider_handlers/anthropic_passthrough_logging_handler.py
index 51845956fc..d6f2a01712 100644
--- a/litellm/proxy/pass_through_endpoints/llm_provider_handlers/anthropic_passthrough_logging_handler.py
+++ b/litellm/proxy/pass_through_endpoints/llm_provider_handlers/anthropic_passthrough_logging_handler.py
@@ -25,7 +25,6 @@ else:
 
 
 class AnthropicPassthroughLoggingHandler:
-
     @staticmethod
     def anthropic_passthrough_handler(
         httpx_response: httpx.Response,
@@ -123,9 +122,9 @@ class AnthropicPassthroughLoggingHandler:
             litellm_model_response.id = logging_obj.litellm_call_id
             litellm_model_response.model = model
             logging_obj.model_call_details["model"] = model
-            logging_obj.model_call_details["custom_llm_provider"] = (
-                litellm.LlmProviders.ANTHROPIC.value
-            )
+            logging_obj.model_call_details[
+                "custom_llm_provider"
+            ] = litellm.LlmProviders.ANTHROPIC.value
             return kwargs
         except Exception as e:
             verbose_proxy_logger.exception(
diff --git a/litellm/proxy/pass_through_endpoints/llm_provider_handlers/vertex_passthrough_logging_handler.py b/litellm/proxy/pass_through_endpoints/llm_provider_handlers/vertex_passthrough_logging_handler.py
index 9443563738..a20f39e65c 100644
--- a/litellm/proxy/pass_through_endpoints/llm_provider_handlers/vertex_passthrough_logging_handler.py
+++ b/litellm/proxy/pass_through_endpoints/llm_provider_handlers/vertex_passthrough_logging_handler.py
@@ -3,6 +3,7 @@ import re
 from datetime import datetime
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 from urllib.parse import urlparse
+
 import httpx
 
 import litellm
@@ -222,7 +223,9 @@ class VertexPassthroughLoggingHandler:
     @staticmethod
     def _get_custom_llm_provider_from_url(url: str) -> str:
         parsed_url = urlparse(url)
-        if parsed_url.hostname and parsed_url.hostname.endswith("generativelanguage.googleapis.com"):
+        if parsed_url.hostname and parsed_url.hostname.endswith(
+            "generativelanguage.googleapis.com"
+        ):
             return litellm.LlmProviders.GEMINI.value
         return litellm.LlmProviders.VERTEX_AI.value
 
diff --git a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
index a13b0dc216..a6b1b3e614 100644
--- a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
+++ b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
@@ -373,7 +373,6 @@ async def pass_through_request(  # noqa: PLR0915
     litellm_call_id = str(uuid.uuid4())
     url: Optional[httpx.URL] = None
     try:
-
         from litellm.litellm_core_utils.litellm_logging import Logging
         from litellm.proxy.proxy_server import proxy_logging_obj
 
@@ -384,7 +383,6 @@ async def pass_through_request(  # noqa: PLR0915
         )
 
         if merge_query_params:
-
             # Create a new URL with the merged query params
             url = url.copy_with(
                 query=urlencode(
@@ -771,7 +769,6 @@ def _is_streaming_response(response: httpx.Response) -> bool:
 
 
 async def initialize_pass_through_endpoints(pass_through_endpoints: list):
-
     verbose_proxy_logger.debug("initializing pass through endpoints")
     from litellm.proxy._types import CommonProxyErrors, LiteLLMRoutes
     from litellm.proxy.proxy_server import app, premium_user
diff --git a/litellm/proxy/pass_through_endpoints/passthrough_endpoint_router.py b/litellm/proxy/pass_through_endpoints/passthrough_endpoint_router.py
index 89cccfc071..a02cacc3cc 100644
--- a/litellm/proxy/pass_through_endpoints/passthrough_endpoint_router.py
+++ b/litellm/proxy/pass_through_endpoints/passthrough_endpoint_router.py
@@ -130,9 +130,9 @@ class PassthroughEndpointRouter:
             vertex_location=location,
             vertex_credentials=vertex_credentials,
         )
-        self.deployment_key_to_vertex_credentials[deployment_key] = (
-            vertex_pass_through_credentials
-        )
+        self.deployment_key_to_vertex_credentials[
+            deployment_key
+        ] = vertex_pass_through_credentials
 
     def _get_deployment_key(
         self, project_id: Optional[str], location: Optional[str]
diff --git a/litellm/proxy/pass_through_endpoints/streaming_handler.py b/litellm/proxy/pass_through_endpoints/streaming_handler.py
index b022bf1d25..2c11e4a2dd 100644
--- a/litellm/proxy/pass_through_endpoints/streaming_handler.py
+++ b/litellm/proxy/pass_through_endpoints/streaming_handler.py
@@ -21,7 +21,6 @@ from .types import EndpointType
 
 
 class PassThroughStreamingHandler:
-
     @staticmethod
     async def chunk_processor(
         response: httpx.Response,
diff --git a/litellm/proxy/prisma_migration.py b/litellm/proxy/prisma_migration.py
index 22fa4da9de..c1e2220c15 100644
--- a/litellm/proxy/prisma_migration.py
+++ b/litellm/proxy/prisma_migration.py
@@ -9,8 +9,8 @@ import time
 sys.path.insert(
     0, os.path.abspath("./")
 )  # Adds the parent directory to the system path
-from litellm.secret_managers.aws_secret_manager import decrypt_env_var
 from litellm._logging import verbose_proxy_logger
+from litellm.secret_managers.aws_secret_manager import decrypt_env_var
 
 if os.getenv("USE_AWS_KMS", None) is not None and os.getenv("USE_AWS_KMS") == "True":
     ## V2 IMPLEMENTATION OF AWS KMS - USER WANTS TO DECRYPT MULTIPLE KEYS IN THEIR ENV
@@ -39,7 +39,9 @@ if not database_url:
         )
         exit(1)
 else:
-    verbose_proxy_logger.info("Using existing DATABASE_URL environment variable")  # Log existing DATABASE_URL
+    verbose_proxy_logger.info(
+        "Using existing DATABASE_URL environment variable"
+    )  # Log existing DATABASE_URL
 
 # Set DIRECT_URL to the value of DATABASE_URL if it is not set, required for migrations
 direct_url = os.getenv("DIRECT_URL")
@@ -63,12 +65,18 @@ while retry_count < max_retries and exit_code != 0:
     # run prisma generate
     verbose_proxy_logger.info("Running 'prisma generate'...")
     result = subprocess.run(["prisma", "generate"], capture_output=True, text=True)
-    verbose_proxy_logger.info(f"'prisma generate' stdout: {result.stdout}")  # Log stdout
+    verbose_proxy_logger.info(
+        f"'prisma generate' stdout: {result.stdout}"
+    )  # Log stdout
     exit_code = result.returncode
 
     if exit_code != 0:
-        verbose_proxy_logger.info(f"'prisma generate' failed with exit code {exit_code}.")
-        verbose_proxy_logger.error(f"'prisma generate' stderr: {result.stderr}")  # Log stderr
+        verbose_proxy_logger.info(
+            f"'prisma generate' failed with exit code {exit_code}."
+        )
+        verbose_proxy_logger.error(
+            f"'prisma generate' stderr: {result.stderr}"
+        )  # Log stderr
 
     # Run the Prisma db push command
     verbose_proxy_logger.info("Running 'prisma db push --accept-data-loss'...")
@@ -79,14 +87,20 @@ while retry_count < max_retries and exit_code != 0:
     exit_code = result.returncode
 
     if exit_code != 0:
-        verbose_proxy_logger.info(f"'prisma db push' stderr: {result.stderr}")  # Log stderr
-        verbose_proxy_logger.error(f"'prisma db push' failed with exit code {exit_code}.")
+        verbose_proxy_logger.info(
+            f"'prisma db push' stderr: {result.stderr}"
+        )  # Log stderr
+        verbose_proxy_logger.error(
+            f"'prisma db push' failed with exit code {exit_code}."
+        )
         if retry_count < max_retries:
             verbose_proxy_logger.info("Retrying in 10 seconds...")
             time.sleep(10)
 
 if retry_count == max_retries and exit_code != 0:
-    verbose_proxy_logger.error(f"Unable to push database changes after {max_retries} retries.")
+    verbose_proxy_logger.error(
+        f"Unable to push database changes after {max_retries} retries."
+    )
     exit(1)
 
 verbose_proxy_logger.info("Database push successful!")
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 89c15f413d..f59d117181 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -18,6 +18,7 @@ from typing import (
     List,
     Optional,
     Tuple,
+    Union,
     cast,
     get_args,
     get_origin,
@@ -36,7 +37,7 @@ if TYPE_CHECKING:
 
     from litellm.integrations.opentelemetry import OpenTelemetry
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
     OpenTelemetry = Any
@@ -763,9 +764,9 @@ model_max_budget_limiter = _PROXY_VirtualKeyModelMaxBudgetLimiter(
     dual_cache=user_api_key_cache
 )
 litellm.logging_callback_manager.add_litellm_callback(model_max_budget_limiter)
-redis_usage_cache: Optional[RedisCache] = (
-    None  # redis cache used for tracking spend, tpm/rpm limits
-)
+redis_usage_cache: Optional[
+    RedisCache
+] = None  # redis cache used for tracking spend, tpm/rpm limits
 user_custom_auth = None
 user_custom_key_generate = None
 user_custom_sso = None
@@ -818,7 +819,6 @@ async def check_request_disconnection(request: Request, llm_api_call_task):
     while time.time() - start_time < 600:
         await asyncio.sleep(1)
         if await request.is_disconnected():
-
             # cancel the LLM API Call task if any passed - this is passed from individual providers
             # Example OpenAI, Azure, VertexAI etc
             llm_api_call_task.cancel()
@@ -1092,9 +1092,9 @@ async def update_cache(  # noqa: PLR0915
         _id = "team_id:{}".format(team_id)
         try:
             # Fetch the existing cost for the given user
-            existing_spend_obj: Optional[LiteLLM_TeamTable] = (
-                await user_api_key_cache.async_get_cache(key=_id)
-            )
+            existing_spend_obj: Optional[
+                LiteLLM_TeamTable
+            ] = await user_api_key_cache.async_get_cache(key=_id)
             if existing_spend_obj is None:
                 # do nothing if team not in api key cache
                 return
@@ -1589,7 +1589,7 @@ class ProxyConfig:
 
                     # users can pass os.environ/ variables on the proxy - we should read them from the env
                     for key, value in cache_params.items():
-                        if type(value) is str and value.startswith("os.environ/"):
+                        if isinstance(value, str) and value.startswith("os.environ/"):
                             cache_params[key] = get_secret(value)
 
                     ## to pass a complete url, or set ssl=True, etc. just set it as `os.environ[REDIS_URL] = <your-redis-url>`, _redis.py checks for REDIS specific environment variables
@@ -1610,7 +1610,6 @@ class ProxyConfig:
 
                     litellm.guardrail_name_config_map = guardrail_name_config_map
                 elif key == "callbacks":
-
                     initialize_callbacks_on_proxy(
                         value=value,
                         premium_user=premium_user,
@@ -2765,9 +2764,9 @@ async def initialize(  # noqa: PLR0915
         user_api_base = api_base
         dynamic_config[user_model]["api_base"] = api_base
     if api_version:
-        os.environ["AZURE_API_VERSION"] = (
-            api_version  # set this for azure - litellm can read this from the env
-        )
+        os.environ[
+            "AZURE_API_VERSION"
+        ] = api_version  # set this for azure - litellm can read this from the env
     if max_tokens:  # model-specific param
         dynamic_config[user_model]["max_tokens"] = max_tokens
     if temperature:  # model-specific param
@@ -2810,7 +2809,6 @@ async def async_assistants_data_generator(
     try:
         time.time()
         async with response as chunk:
-
             ### CALL HOOKS ### - modify outgoing data
             chunk = await proxy_logging_obj.async_post_call_streaming_hook(
                 user_api_key_dict=user_api_key_dict, response=chunk
@@ -4675,7 +4673,6 @@ async def get_thread(
     global proxy_logging_obj
     data: Dict = {}
     try:
-
         # Include original request and headers in the data
         data = await add_litellm_data_to_request(
             data=data,
@@ -6385,7 +6382,6 @@ async def alerting_settings(
 
     for field_name, field_info in SlackAlertingArgs.model_fields.items():
         if field_name in allowed_args:
-
             _stored_in_db: Optional[bool] = None
             if field_name in alerting_args_dict:
                 _stored_in_db = True
@@ -7333,7 +7329,6 @@ async def update_config(config_info: ConfigYAML):  # noqa: PLR0915
                 "success_callback" in updated_litellm_settings
                 and "success_callback" in config["litellm_settings"]
             ):
-
                 # check both success callback are lists
                 if isinstance(
                     config["litellm_settings"]["success_callback"], list
@@ -7588,7 +7583,6 @@ async def get_config_list(
 
     for field_name, field_info in ConfigGeneralSettings.model_fields.items():
         if field_name in allowed_args:
-
             ## HANDLE TYPED DICT
 
             typed_dict_type = allowed_args[field_name]["type"]
@@ -7621,9 +7615,9 @@ async def get_config_list(
                             hasattr(sub_field_info, "description")
                             and sub_field_info.description is not None
                         ):
-                            nested_fields[idx].field_description = (
-                                sub_field_info.description
-                            )
+                            nested_fields[
+                                idx
+                            ].field_description = sub_field_info.description
                         idx += 1
 
                     _stored_in_db = None
diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py
index 4c0e22aef7..4690b6cbd8 100644
--- a/litellm/proxy/spend_tracking/spend_management_endpoints.py
+++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py
@@ -286,7 +286,6 @@ async def get_global_activity(
                 user_api_key_dict, start_date_obj, end_date_obj
             )
         else:
-
             sql_query = """
             SELECT
                 date_trunc('day', "startTime") AS date,
@@ -453,7 +452,6 @@ async def get_global_activity_model(
                 user_api_key_dict, start_date_obj, end_date_obj
             )
         else:
-
             sql_query = """
             SELECT
                 model_group,
@@ -1096,7 +1094,6 @@ async def get_global_spend_report(
                 start_date_obj, end_date_obj, team_id, customer_id, prisma_client
             )
         if group_by == "team":
-
             # first get data from spend logs -> SpendByModelApiKey
             # then read data from "SpendByModelApiKey" to format the response obj
             sql_query = """
@@ -1689,7 +1686,6 @@ async def ui_view_spend_logs(  # noqa: PLR0915
         )
 
     try:
-
         # Convert the date strings to datetime objects
         start_date_obj = datetime.strptime(start_date, "%Y-%m-%d %H:%M:%S").replace(
             tzinfo=timezone.utc
@@ -2160,7 +2156,6 @@ async def global_spend_for_internal_user(
             code=status.HTTP_500_INTERNAL_SERVER_ERROR,
         )
     try:
-
         user_id = user_api_key_dict.user_id
         if user_id is None:
             raise ValueError("/global/spend/logs Error: User ID is None")
@@ -2293,7 +2288,6 @@ async def global_spend():
     from litellm.proxy.proxy_server import prisma_client
 
     try:
-
         total_spend = 0.0
 
         if prisma_client is None:
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 4c82f586fb..900b26f3f1 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -78,7 +78,7 @@ from litellm.types.utils import CallTypes, LoggedLiteLLMParams
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
@@ -491,7 +491,6 @@ class ProxyLogging:
 
         try:
             for callback in litellm.callbacks:
-
                 _callback = None
                 if isinstance(callback, str):
                     _callback = litellm.litellm_core_utils.litellm_logging.get_custom_logger_compatible_class(
@@ -1197,9 +1196,9 @@ class PrismaClient:
                     api_requests=1,
                 )
 
-            self.daily_user_spend_transactions[daily_transaction_key] = (
-                daily_transaction
-            )
+            self.daily_user_spend_transactions[
+                daily_transaction_key
+            ] = daily_transaction
         except Exception as e:
             raise e
 
diff --git a/litellm/proxy/vertex_ai_endpoints/langfuse_endpoints.py b/litellm/proxy/vertex_ai_endpoints/langfuse_endpoints.py
index 0c91c326f5..684e2ad061 100644
--- a/litellm/proxy/vertex_ai_endpoints/langfuse_endpoints.py
+++ b/litellm/proxy/vertex_ai_endpoints/langfuse_endpoints.py
@@ -69,10 +69,10 @@ async def langfuse_proxy_route(
         request=request, api_key="Bearer {}".format(api_key)
     )
 
-    callback_settings_obj: Optional[TeamCallbackMetadata] = (
-        _get_dynamic_logging_metadata(
-            user_api_key_dict=user_api_key_dict, proxy_config=proxy_config
-        )
+    callback_settings_obj: Optional[
+        TeamCallbackMetadata
+    ] = _get_dynamic_logging_metadata(
+        user_api_key_dict=user_api_key_dict, proxy_config=proxy_config
     )
 
     dynamic_langfuse_public_key: Optional[str] = None
diff --git a/litellm/rerank_api/main.py b/litellm/rerank_api/main.py
index ce8ae21c82..9307ce5a55 100644
--- a/litellm/rerank_api/main.py
+++ b/litellm/rerank_api/main.py
@@ -107,13 +107,16 @@ def rerank(  # noqa: PLR0915
             k for k, v in unique_version_params.items() if v is not None
         ]
 
-        model, _custom_llm_provider, dynamic_api_key, dynamic_api_base = (
-            litellm.get_llm_provider(
-                model=model,
-                custom_llm_provider=custom_llm_provider,
-                api_base=optional_params.api_base,
-                api_key=optional_params.api_key,
-            )
+        (
+            model,
+            _custom_llm_provider,
+            dynamic_api_key,
+            dynamic_api_base,
+        ) = litellm.get_llm_provider(
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            api_base=optional_params.api_base,
+            api_key=optional_params.api_key,
         )
 
         rerank_provider_config: BaseRerankConfig = (
@@ -272,7 +275,6 @@ def rerank(  # noqa: PLR0915
                 _is_async=_is_async,
             )
         elif _custom_llm_provider == "jina_ai":
-
             if dynamic_api_key is None:
                 raise ValueError(
                     "Jina AI API key is required, please set 'JINA_AI_API_KEY' in your environment"
diff --git a/litellm/responses/main.py b/litellm/responses/main.py
index aec2f8fe4a..70b651f376 100644
--- a/litellm/responses/main.py
+++ b/litellm/responses/main.py
@@ -165,21 +165,24 @@ def responses(
 
         # get llm provider logic
         litellm_params = GenericLiteLLMParams(**kwargs)
-        model, custom_llm_provider, dynamic_api_key, dynamic_api_base = (
-            litellm.get_llm_provider(
-                model=model,
-                custom_llm_provider=custom_llm_provider,
-                api_base=litellm_params.api_base,
-                api_key=litellm_params.api_key,
-            )
+        (
+            model,
+            custom_llm_provider,
+            dynamic_api_key,
+            dynamic_api_base,
+        ) = litellm.get_llm_provider(
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            api_base=litellm_params.api_base,
+            api_key=litellm_params.api_key,
         )
 
         # get provider config
-        responses_api_provider_config: Optional[BaseResponsesAPIConfig] = (
-            ProviderConfigManager.get_provider_responses_api_config(
-                model=model,
-                provider=litellm.LlmProviders(custom_llm_provider),
-            )
+        responses_api_provider_config: Optional[
+            BaseResponsesAPIConfig
+        ] = ProviderConfigManager.get_provider_responses_api_config(
+            model=model,
+            provider=litellm.LlmProviders(custom_llm_provider),
         )
 
         if responses_api_provider_config is None:
diff --git a/litellm/router.py b/litellm/router.py
index f739bc381d..78ad2afe1a 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -148,7 +148,7 @@ from .router_utils.pattern_match_deployments import PatternMatchRouter
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
@@ -333,9 +333,9 @@ class Router:
         )  # names of models under litellm_params. ex. azure/chatgpt-v-2
         self.deployment_latency_map = {}
         ### CACHING ###
-        cache_type: Literal["local", "redis", "redis-semantic", "s3", "disk"] = (
-            "local"  # default to an in-memory cache
-        )
+        cache_type: Literal[
+            "local", "redis", "redis-semantic", "s3", "disk"
+        ] = "local"  # default to an in-memory cache
         redis_cache = None
         cache_config: Dict[str, Any] = {}
 
@@ -556,9 +556,9 @@ class Router:
                 )
             )
 
-        self.model_group_retry_policy: Optional[Dict[str, RetryPolicy]] = (
-            model_group_retry_policy
-        )
+        self.model_group_retry_policy: Optional[
+            Dict[str, RetryPolicy]
+        ] = model_group_retry_policy
 
         self.allowed_fails_policy: Optional[AllowedFailsPolicy] = None
         if allowed_fails_policy is not None:
@@ -1093,9 +1093,9 @@ class Router:
         """
         Adds default litellm params to kwargs, if set.
         """
-        self.default_litellm_params[metadata_variable_name] = (
-            self.default_litellm_params.pop("metadata", {})
-        )
+        self.default_litellm_params[
+            metadata_variable_name
+        ] = self.default_litellm_params.pop("metadata", {})
         for k, v in self.default_litellm_params.items():
             if (
                 k not in kwargs and v is not None
@@ -1678,14 +1678,16 @@ class Router:
                 f"Prompt variables is set but not a dictionary. Got={prompt_variables}, type={type(prompt_variables)}"
             )
 
-        model, messages, optional_params = (
-            litellm_logging_object.get_chat_completion_prompt(
-                model=litellm_model,
-                messages=messages,
-                non_default_params=get_non_default_completion_params(kwargs=kwargs),
-                prompt_id=prompt_id,
-                prompt_variables=prompt_variables,
-            )
+        (
+            model,
+            messages,
+            optional_params,
+        ) = litellm_logging_object.get_chat_completion_prompt(
+            model=litellm_model,
+            messages=messages,
+            non_default_params=get_non_default_completion_params(kwargs=kwargs),
+            prompt_id=prompt_id,
+            prompt_variables=prompt_variables,
         )
 
         kwargs = {**kwargs, **optional_params}
@@ -2924,7 +2926,6 @@ class Router:
         Future Improvement - cache the result.
         """
         try:
-
             filtered_model_list = self.get_model_list()
             if filtered_model_list is None:
                 raise Exception("Router not yet initialized.")
@@ -3211,11 +3212,11 @@ class Router:
 
                 if isinstance(e, litellm.ContextWindowExceededError):
                     if context_window_fallbacks is not None:
-                        fallback_model_group: Optional[List[str]] = (
-                            self._get_fallback_model_group_from_fallbacks(
-                                fallbacks=context_window_fallbacks,
-                                model_group=model_group,
-                            )
+                        fallback_model_group: Optional[
+                            List[str]
+                        ] = self._get_fallback_model_group_from_fallbacks(
+                            fallbacks=context_window_fallbacks,
+                            model_group=model_group,
                         )
                         if fallback_model_group is None:
                             raise original_exception
@@ -3247,11 +3248,11 @@ class Router:
                         e.message += "\n{}".format(error_message)
                 elif isinstance(e, litellm.ContentPolicyViolationError):
                     if content_policy_fallbacks is not None:
-                        fallback_model_group: Optional[List[str]] = (
-                            self._get_fallback_model_group_from_fallbacks(
-                                fallbacks=content_policy_fallbacks,
-                                model_group=model_group,
-                            )
+                        fallback_model_group: Optional[
+                            List[str]
+                        ] = self._get_fallback_model_group_from_fallbacks(
+                            fallbacks=content_policy_fallbacks,
+                            model_group=model_group,
                         )
                         if fallback_model_group is None:
                             raise original_exception
@@ -3282,11 +3283,12 @@ class Router:
                         e.message += "\n{}".format(error_message)
                 if fallbacks is not None and model_group is not None:
                     verbose_router_logger.debug(f"inside model fallbacks: {fallbacks}")
-                    fallback_model_group, generic_fallback_idx = (
-                        get_fallback_model_group(
-                            fallbacks=fallbacks,  # if fallbacks = [{"gpt-3.5-turbo": ["claude-3-haiku"]}]
-                            model_group=cast(str, model_group),
-                        )
+                    (
+                        fallback_model_group,
+                        generic_fallback_idx,
+                    ) = get_fallback_model_group(
+                        fallbacks=fallbacks,  # if fallbacks = [{"gpt-3.5-turbo": ["claude-3-haiku"]}]
+                        model_group=cast(str, model_group),
                     )
                     ## if none, check for generic fallback
                     if (
@@ -3444,11 +3446,12 @@ class Router:
             """
             Retry Logic
             """
-            _healthy_deployments, _all_deployments = (
-                await self._async_get_healthy_deployments(
-                    model=kwargs.get("model") or "",
-                    parent_otel_span=parent_otel_span,
-                )
+            (
+                _healthy_deployments,
+                _all_deployments,
+            ) = await self._async_get_healthy_deployments(
+                model=kwargs.get("model") or "",
+                parent_otel_span=parent_otel_span,
             )
 
             # raises an exception if this error should not be retries
@@ -3513,11 +3516,12 @@ class Router:
                     remaining_retries = num_retries - current_attempt
                     _model: Optional[str] = kwargs.get("model")  # type: ignore
                     if _model is not None:
-                        _healthy_deployments, _ = (
-                            await self._async_get_healthy_deployments(
-                                model=_model,
-                                parent_otel_span=parent_otel_span,
-                            )
+                        (
+                            _healthy_deployments,
+                            _,
+                        ) = await self._async_get_healthy_deployments(
+                            model=_model,
+                            parent_otel_span=parent_otel_span,
                         )
                     else:
                         _healthy_deployments = []
@@ -3884,7 +3888,6 @@ class Router:
             )
 
             if exception_headers is not None:
-
                 _time_to_cooldown = (
                     litellm.utils._get_retry_after_from_exception_header(
                         response_headers=exception_headers
@@ -6131,7 +6134,6 @@ class Router:
         try:
             model_id = deployment.get("model_info", {}).get("id", None)
             if response is None:
-
                 # update self.deployment_stats
                 if model_id is not None:
                     self._update_usage(
diff --git a/litellm/router_strategy/base_routing_strategy.py b/litellm/router_strategy/base_routing_strategy.py
index a39d17e386..ea87e25eba 100644
--- a/litellm/router_strategy/base_routing_strategy.py
+++ b/litellm/router_strategy/base_routing_strategy.py
@@ -38,9 +38,9 @@ class BaseRoutingStrategy(ABC):
             except RuntimeError:  # No event loop in current thread
                 self._create_sync_thread(default_sync_interval)
 
-        self.in_memory_keys_to_update: set[str] = (
-            set()
-        )  # Set with max size of 1000 keys
+        self.in_memory_keys_to_update: set[
+            str
+        ] = set()  # Set with max size of 1000 keys
 
     async def _increment_value_in_current_window(
         self, key: str, value: Union[int, float], ttl: int
diff --git a/litellm/router_strategy/budget_limiter.py b/litellm/router_strategy/budget_limiter.py
index 4f123df282..9e4001b67b 100644
--- a/litellm/router_strategy/budget_limiter.py
+++ b/litellm/router_strategy/budget_limiter.py
@@ -53,9 +53,9 @@ class RouterBudgetLimiting(CustomLogger):
         self.dual_cache = dual_cache
         self.redis_increment_operation_queue: List[RedisPipelineIncrementOperation] = []
         asyncio.create_task(self.periodic_sync_in_memory_spend_with_redis())
-        self.provider_budget_config: Optional[GenericBudgetConfigType] = (
-            provider_budget_config
-        )
+        self.provider_budget_config: Optional[
+            GenericBudgetConfigType
+        ] = provider_budget_config
         self.deployment_budget_config: Optional[GenericBudgetConfigType] = None
         self.tag_budget_config: Optional[GenericBudgetConfigType] = None
         self._init_provider_budgets()
@@ -94,11 +94,13 @@ class RouterBudgetLimiting(CustomLogger):
 
         potential_deployments: List[Dict] = []
 
-        cache_keys, provider_configs, deployment_configs = (
-            await self._async_get_cache_keys_for_router_budget_limiting(
-                healthy_deployments=healthy_deployments,
-                request_kwargs=request_kwargs,
-            )
+        (
+            cache_keys,
+            provider_configs,
+            deployment_configs,
+        ) = await self._async_get_cache_keys_for_router_budget_limiting(
+            healthy_deployments=healthy_deployments,
+            request_kwargs=request_kwargs,
         )
 
         # Single cache read for all spend values
@@ -114,17 +116,18 @@ class RouterBudgetLimiting(CustomLogger):
             for idx, key in enumerate(cache_keys):
                 spend_map[key] = float(current_spends[idx] or 0.0)
 
-            potential_deployments, deployment_above_budget_info = (
-                self._filter_out_deployments_above_budget(
-                    healthy_deployments=healthy_deployments,
-                    provider_configs=provider_configs,
-                    deployment_configs=deployment_configs,
-                    spend_map=spend_map,
-                    potential_deployments=potential_deployments,
-                    request_tags=_get_tags_from_request_kwargs(
-                        request_kwargs=request_kwargs
-                    ),
-                )
+            (
+                potential_deployments,
+                deployment_above_budget_info,
+            ) = self._filter_out_deployments_above_budget(
+                healthy_deployments=healthy_deployments,
+                provider_configs=provider_configs,
+                deployment_configs=deployment_configs,
+                spend_map=spend_map,
+                potential_deployments=potential_deployments,
+                request_tags=_get_tags_from_request_kwargs(
+                    request_kwargs=request_kwargs
+                ),
             )
 
             if len(potential_deployments) == 0:
diff --git a/litellm/router_strategy/lowest_latency.py b/litellm/router_strategy/lowest_latency.py
index b049c94264..55ca98843d 100644
--- a/litellm/router_strategy/lowest_latency.py
+++ b/litellm/router_strategy/lowest_latency.py
@@ -14,7 +14,7 @@ from litellm.types.utils import LiteLLMPydanticObjectBase
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/router_strategy/lowest_tpm_rpm_v2.py b/litellm/router_strategy/lowest_tpm_rpm_v2.py
index d1a46b7ea8..9e6c139314 100644
--- a/litellm/router_strategy/lowest_tpm_rpm_v2.py
+++ b/litellm/router_strategy/lowest_tpm_rpm_v2.py
@@ -20,7 +20,7 @@ from .base_routing_strategy import BaseRoutingStrategy
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
@@ -69,7 +69,6 @@ class LowestTPMLoggingHandler_v2(BaseRoutingStrategy, CustomLogger):
         Raises - RateLimitError if deployment over defined RPM limit
         """
         try:
-
             # ------------
             # Setup values
             # ------------
diff --git a/litellm/router_utils/cooldown_cache.py b/litellm/router_utils/cooldown_cache.py
index f096b026c0..13d6318fc4 100644
--- a/litellm/router_utils/cooldown_cache.py
+++ b/litellm/router_utils/cooldown_cache.py
@@ -3,7 +3,7 @@ Wrapper around router cache. Meant to handle model cooldown logic
 """
 
 import time
-from typing import TYPE_CHECKING, Any, List, Optional, Tuple, TypedDict
+from typing import TYPE_CHECKING, Any, List, Optional, Tuple, TypedDict, Union
 
 from litellm import verbose_logger
 from litellm.caching.caching import DualCache
@@ -12,7 +12,7 @@ from litellm.caching.in_memory_cache import InMemoryCache
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
 
diff --git a/litellm/router_utils/cooldown_callbacks.py b/litellm/router_utils/cooldown_callbacks.py
index 54a016d3ec..5961a04feb 100644
--- a/litellm/router_utils/cooldown_callbacks.py
+++ b/litellm/router_utils/cooldown_callbacks.py
@@ -59,9 +59,9 @@ async def router_cooldown_event_callback(
         pass
 
     # get the prometheus logger from in memory loggers
-    prometheusLogger: Optional[PrometheusLogger] = (
-        _get_prometheus_logger_from_callbacks()
-    )
+    prometheusLogger: Optional[
+        PrometheusLogger
+    ] = _get_prometheus_logger_from_callbacks()
 
     if prometheusLogger is not None:
         prometheusLogger.set_deployment_complete_outage(
diff --git a/litellm/router_utils/cooldown_handlers.py b/litellm/router_utils/cooldown_handlers.py
index 52babc27f2..ed9c2dd229 100644
--- a/litellm/router_utils/cooldown_handlers.py
+++ b/litellm/router_utils/cooldown_handlers.py
@@ -29,7 +29,7 @@ if TYPE_CHECKING:
     from litellm.router import Router as _Router
 
     LitellmRouter = _Router
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     LitellmRouter = Any
     Span = Any
diff --git a/litellm/router_utils/handle_error.py b/litellm/router_utils/handle_error.py
index 132440cbc3..c331da70ac 100644
--- a/litellm/router_utils/handle_error.py
+++ b/litellm/router_utils/handle_error.py
@@ -1,4 +1,4 @@
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from litellm._logging import verbose_router_logger
 from litellm.router_utils.cooldown_handlers import (
@@ -13,7 +13,7 @@ if TYPE_CHECKING:
     from litellm.router import Router as _Router
 
     LitellmRouter = _Router
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     LitellmRouter = Any
     Span = Any
diff --git a/litellm/router_utils/pattern_match_deployments.py b/litellm/router_utils/pattern_match_deployments.py
index 729510574a..c6804b1ad4 100644
--- a/litellm/router_utils/pattern_match_deployments.py
+++ b/litellm/router_utils/pattern_match_deployments.py
@@ -105,13 +105,11 @@ class PatternMatchRouter:
         new_deployments = []
         for deployment in deployments:
             new_deployment = copy.deepcopy(deployment)
-            new_deployment["litellm_params"]["model"] = (
-                PatternMatchRouter.set_deployment_model_name(
-                    matched_pattern=matched_pattern,
-                    litellm_deployment_litellm_model=deployment["litellm_params"][
-                        "model"
-                    ],
-                )
+            new_deployment["litellm_params"][
+                "model"
+            ] = PatternMatchRouter.set_deployment_model_name(
+                matched_pattern=matched_pattern,
+                litellm_deployment_litellm_model=deployment["litellm_params"]["model"],
             )
             new_deployments.append(new_deployment)
 
diff --git a/litellm/router_utils/prompt_caching_cache.py b/litellm/router_utils/prompt_caching_cache.py
index 1bf686d694..6a96b85e8a 100644
--- a/litellm/router_utils/prompt_caching_cache.py
+++ b/litellm/router_utils/prompt_caching_cache.py
@@ -4,7 +4,7 @@ Wrapper around router cache. Meant to store model id when prompt caching support
 
 import hashlib
 import json
-from typing import TYPE_CHECKING, Any, List, Optional, TypedDict
+from typing import TYPE_CHECKING, Any, List, Optional, TypedDict, Union
 
 from litellm.caching.caching import DualCache
 from litellm.caching.in_memory_cache import InMemoryCache
@@ -16,7 +16,7 @@ if TYPE_CHECKING:
     from litellm.router import Router
 
     litellm_router = Router
-    Span = _Span
+    Span = Union[_Span, Any]
 else:
     Span = Any
     litellm_router = Any
diff --git a/litellm/secret_managers/aws_secret_manager_v2.py b/litellm/secret_managers/aws_secret_manager_v2.py
index fd89d6c558..327dbf3d19 100644
--- a/litellm/secret_managers/aws_secret_manager_v2.py
+++ b/litellm/secret_managers/aws_secret_manager_v2.py
@@ -50,7 +50,6 @@ class AWSSecretsManagerV2(BaseAWSLLM, BaseSecretManager):
         if use_aws_secret_manager is None or use_aws_secret_manager is False:
             return
         try:
-
             cls.validate_environment()
             litellm.secret_manager_client = cls()
             litellm._key_management_system = KeyManagementSystem.AWS_SECRET_MANAGER
diff --git a/litellm/secret_managers/hashicorp_secret_manager.py b/litellm/secret_managers/hashicorp_secret_manager.py
index a3d129f89c..e0b4a08ce8 100644
--- a/litellm/secret_managers/hashicorp_secret_manager.py
+++ b/litellm/secret_managers/hashicorp_secret_manager.py
@@ -34,7 +34,7 @@ class HashicorpSecretManager(BaseSecretManager):
         # Validate environment
         if not self.vault_token:
             raise ValueError(
-                "Missing Vault token. Please set VAULT_TOKEN in your environment."
+                "Missing Vault token. Please set HCP_VAULT_TOKEN in your environment."
             )
 
         litellm.secret_manager_client = self
@@ -90,9 +90,9 @@ class HashicorpSecretManager(BaseSecretManager):
             headers["X-Vault-Namespace"] = self.vault_namespace
         try:
             # We use the client cert and key for mutual TLS
-            resp = httpx.post(
+            client = httpx.Client(cert=(self.tls_cert_path, self.tls_key_path))
+            resp = client.post(
                 login_url,
-                cert=(self.tls_cert_path, self.tls_key_path),
                 headers=headers,
                 json=self._get_tls_cert_auth_body(),
             )
diff --git a/litellm/types/integrations/arize_phoenix.py b/litellm/types/integrations/arize_phoenix.py
index 4566022d17..a8a1fed5a6 100644
--- a/litellm/types/integrations/arize_phoenix.py
+++ b/litellm/types/integrations/arize_phoenix.py
@@ -1,9 +1,11 @@
 from typing import TYPE_CHECKING, Literal, Optional
 
 from pydantic import BaseModel
+
 from .arize import Protocol
 
+
 class ArizePhoenixConfig(BaseModel):
     otlp_auth_headers: Optional[str] = None
     protocol: Protocol
-    endpoint: str 
+    endpoint: str
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index 1c5552637c..3ba5a3a4e0 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -722,12 +722,12 @@ class OpenAIChatCompletionChunk(ChatCompletionChunk):
 
 class Hyperparameters(BaseModel):
     batch_size: Optional[Union[str, int]] = None  # "Number of examples in each batch."
-    learning_rate_multiplier: Optional[Union[str, float]] = (
-        None  # Scaling factor for the learning rate
-    )
-    n_epochs: Optional[Union[str, int]] = (
-        None  # "The number of epochs to train the model for"
-    )
+    learning_rate_multiplier: Optional[
+        Union[str, float]
+    ] = None  # Scaling factor for the learning rate
+    n_epochs: Optional[
+        Union[str, int]
+    ] = None  # "The number of epochs to train the model for"
 
 
 class FineTuningJobCreate(BaseModel):
@@ -754,18 +754,18 @@ class FineTuningJobCreate(BaseModel):
 
     model: str  # "The name of the model to fine-tune."
     training_file: str  # "The ID of an uploaded file that contains training data."
-    hyperparameters: Optional[Hyperparameters] = (
-        None  # "The hyperparameters used for the fine-tuning job."
-    )
-    suffix: Optional[str] = (
-        None  # "A string of up to 18 characters that will be added to your fine-tuned model name."
-    )
-    validation_file: Optional[str] = (
-        None  # "The ID of an uploaded file that contains validation data."
-    )
-    integrations: Optional[List[str]] = (
-        None  # "A list of integrations to enable for your fine-tuning job."
-    )
+    hyperparameters: Optional[
+        Hyperparameters
+    ] = None  # "The hyperparameters used for the fine-tuning job."
+    suffix: Optional[
+        str
+    ] = None  # "A string of up to 18 characters that will be added to your fine-tuned model name."
+    validation_file: Optional[
+        str
+    ] = None  # "The ID of an uploaded file that contains validation data."
+    integrations: Optional[
+        List[str]
+    ] = None  # "A list of integrations to enable for your fine-tuning job."
     seed: Optional[int] = None  # "The seed controls the reproducibility of the job."
 
 
diff --git a/litellm/types/rerank.py b/litellm/types/rerank.py
index 8e2a8cc334..fb6dae0d1d 100644
--- a/litellm/types/rerank.py
+++ b/litellm/types/rerank.py
@@ -21,7 +21,6 @@ class RerankRequest(BaseModel):
     max_tokens_per_doc: Optional[int] = None
 
 
-
 class OptionalRerankParams(TypedDict, total=False):
     query: str
     top_n: Optional[int]
@@ -60,9 +59,9 @@ class RerankResponseResult(TypedDict, total=False):
 
 class RerankResponse(BaseModel):
     id: Optional[str] = None
-    results: Optional[List[RerankResponseResult]] = (
-        None  # Contains index and relevance_score
-    )
+    results: Optional[
+        List[RerankResponseResult]
+    ] = None  # Contains index and relevance_score
     meta: Optional[RerankResponseMeta] = None  # Contains api_version and billed_units
 
     # Define private attributes using PrivateAttr
diff --git a/litellm/types/router.py b/litellm/types/router.py
index dcd547def2..45a8a3fcf6 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -95,18 +95,16 @@ class ModelInfo(BaseModel):
     id: Optional[
         str
     ]  # Allow id to be optional on input, but it will always be present as a str in the model instance
-    db_model: bool = (
-        False  # used for proxy - to separate models which are stored in the db vs. config.
-    )
+    db_model: bool = False  # used for proxy - to separate models which are stored in the db vs. config.
     updated_at: Optional[datetime.datetime] = None
     updated_by: Optional[str] = None
 
     created_at: Optional[datetime.datetime] = None
     created_by: Optional[str] = None
 
-    base_model: Optional[str] = (
-        None  # specify if the base model is azure/gpt-3.5-turbo etc for accurate cost tracking
-    )
+    base_model: Optional[
+        str
+    ] = None  # specify if the base model is azure/gpt-3.5-turbo etc for accurate cost tracking
     tier: Optional[Literal["free", "paid"]] = None
 
     """
@@ -171,12 +169,12 @@ class GenericLiteLLMParams(CredentialLiteLLMParams):
     custom_llm_provider: Optional[str] = None
     tpm: Optional[int] = None
     rpm: Optional[int] = None
-    timeout: Optional[Union[float, str, httpx.Timeout]] = (
-        None  # if str, pass in as os.environ/
-    )
-    stream_timeout: Optional[Union[float, str]] = (
-        None  # timeout when making stream=True calls, if str, pass in as os.environ/
-    )
+    timeout: Optional[
+        Union[float, str, httpx.Timeout]
+    ] = None  # if str, pass in as os.environ/
+    stream_timeout: Optional[
+        Union[float, str]
+    ] = None  # timeout when making stream=True calls, if str, pass in as os.environ/
     max_retries: Optional[int] = None
     organization: Optional[str] = None  # for openai orgs
     configurable_clientside_auth_params: CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS = None
@@ -251,9 +249,9 @@ class GenericLiteLLMParams(CredentialLiteLLMParams):
         if max_retries is not None and isinstance(max_retries, str):
             max_retries = int(max_retries)  # cast to int
         # We need to keep max_retries in args since it's a parameter of GenericLiteLLMParams
-        args["max_retries"] = (
-            max_retries  # Put max_retries back in args after popping it
-        )
+        args[
+            "max_retries"
+        ] = max_retries  # Put max_retries back in args after popping it
         super().__init__(**args, **params)
 
     def __contains__(self, key):
@@ -577,7 +575,6 @@ class AssistantsTypedDict(TypedDict):
 
 
 class FineTuningConfig(BaseModel):
-
     custom_llm_provider: Literal["azure", "openai"]
 
 
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index fe6330f8bd..7f84a41cd5 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -482,7 +482,6 @@ from openai.types.chat.chat_completion_audio import ChatCompletionAudio
 
 
 class ChatCompletionAudioResponse(ChatCompletionAudio):
-
     def __init__(
         self,
         data: str,
@@ -927,7 +926,6 @@ class StreamingChoices(OpenAIObject):
             self.finish_reason = None
         self.index = index
         if delta is not None:
-
             if isinstance(delta, Delta):
                 self.delta = delta
             elif isinstance(delta, dict):
@@ -961,7 +959,6 @@ class StreamingChoices(OpenAIObject):
 
 class StreamingChatCompletionChunk(OpenAIChatCompletionChunk):
     def __init__(self, **kwargs):
-
         new_choices = []
         for choice in kwargs["choices"]:
             new_choice = StreamingChoices(**choice).model_dump()
diff --git a/litellm/utils.py b/litellm/utils.py
index 3c8b6667f9..777352ed34 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -482,7 +482,6 @@ def get_dynamic_callbacks(
 def function_setup(  # noqa: PLR0915
     original_function: str, rules_obj, start_time, *args, **kwargs
 ):  # just run once to check if user wants to send their data anywhere - PostHog/Sentry/Slack/etc.
-
     ### NOTICES ###
     from litellm import Logging as LiteLLMLogging
     from litellm.litellm_core_utils.litellm_logging import set_callbacks
@@ -504,9 +503,9 @@ def function_setup(  # noqa: PLR0915
         function_id: Optional[str] = kwargs["id"] if "id" in kwargs else None
 
         ## DYNAMIC CALLBACKS ##
-        dynamic_callbacks: Optional[List[Union[str, Callable, CustomLogger]]] = (
-            kwargs.pop("callbacks", None)
-        )
+        dynamic_callbacks: Optional[
+            List[Union[str, Callable, CustomLogger]]
+        ] = kwargs.pop("callbacks", None)
         all_callbacks = get_dynamic_callbacks(dynamic_callbacks=dynamic_callbacks)
 
         if len(all_callbacks) > 0:
@@ -1190,9 +1189,9 @@ def client(original_function):  # noqa: PLR0915
                         exception=e,
                         retry_policy=kwargs.get("retry_policy"),
                     )
-                    kwargs["retry_policy"] = (
-                        reset_retry_policy()
-                    )  # prevent infinite loops
+                    kwargs[
+                        "retry_policy"
+                    ] = reset_retry_policy()  # prevent infinite loops
                 litellm.num_retries = (
                     None  # set retries to None to prevent infinite loops
                 )
@@ -1404,7 +1403,6 @@ def client(original_function):  # noqa: PLR0915
                 if (
                     num_retries and not _is_litellm_router_call
                 ):  # only enter this if call is not from litellm router/proxy. router has it's own logic for retrying
-
                     try:
                         litellm.num_retries = (
                             None  # set retries to None to prevent infinite loops
@@ -1425,7 +1423,6 @@ def client(original_function):  # noqa: PLR0915
                     and context_window_fallback_dict
                     and model in context_window_fallback_dict
                 ):
-
                     if len(args) > 0:
                         args[0] = context_window_fallback_dict[model]  # type: ignore
                     else:
@@ -1521,7 +1518,6 @@ def _select_tokenizer(
 
 @lru_cache(maxsize=128)
 def _select_tokenizer_helper(model: str) -> SelectTokenizerResponse:
-
     if litellm.disable_hf_tokenizer_download is True:
         return _return_openai_tokenizer(model)
 
@@ -2990,16 +2986,16 @@ def get_optional_params(  # noqa: PLR0915
                     True  # so that main.py adds the function call to the prompt
                 )
                 if "tools" in non_default_params:
-                    optional_params["functions_unsupported_model"] = (
-                        non_default_params.pop("tools")
-                    )
+                    optional_params[
+                        "functions_unsupported_model"
+                    ] = non_default_params.pop("tools")
                     non_default_params.pop(
                         "tool_choice", None
                     )  # causes ollama requests to hang
                 elif "functions" in non_default_params:
-                    optional_params["functions_unsupported_model"] = (
-                        non_default_params.pop("functions")
-                    )
+                    optional_params[
+                        "functions_unsupported_model"
+                    ] = non_default_params.pop("functions")
             elif (
                 litellm.add_function_to_prompt
             ):  # if user opts to add it to prompt instead
@@ -3022,10 +3018,10 @@ def get_optional_params(  # noqa: PLR0915
 
     if "response_format" in non_default_params:
         if provider_config is not None:
-            non_default_params["response_format"] = (
-                provider_config.get_json_schema_from_pydantic_object(
-                    response_format=non_default_params["response_format"]
-                )
+            non_default_params[
+                "response_format"
+            ] = provider_config.get_json_schema_from_pydantic_object(
+                response_format=non_default_params["response_format"]
             )
         else:
             non_default_params["response_format"] = type_to_response_format_param(
@@ -3177,7 +3173,6 @@ def get_optional_params(  # noqa: PLR0915
             ),
         )
     elif custom_llm_provider == "replicate":
-
         optional_params = litellm.ReplicateConfig().map_openai_params(
             non_default_params=non_default_params,
             optional_params=optional_params,
@@ -3211,7 +3206,6 @@ def get_optional_params(  # noqa: PLR0915
             ),
         )
     elif custom_llm_provider == "together_ai":
-
         optional_params = litellm.TogetherAIConfig().map_openai_params(
             non_default_params=non_default_params,
             optional_params=optional_params,
@@ -3279,7 +3273,6 @@ def get_optional_params(  # noqa: PLR0915
             ),
         )
     elif custom_llm_provider == "vertex_ai":
-
         if model in litellm.vertex_mistral_models:
             if "codestral" in model:
                 optional_params = (
@@ -3358,7 +3351,6 @@ def get_optional_params(  # noqa: PLR0915
 
         elif "anthropic" in bedrock_base_model and bedrock_route == "invoke":
             if bedrock_base_model.startswith("anthropic.claude-3"):
-
                 optional_params = (
                     litellm.AmazonAnthropicClaude3Config().map_openai_params(
                         non_default_params=non_default_params,
@@ -3395,7 +3387,6 @@ def get_optional_params(  # noqa: PLR0915
                 ),
             )
     elif custom_llm_provider == "cloudflare":
-
         optional_params = litellm.CloudflareChatConfig().map_openai_params(
             model=model,
             non_default_params=non_default_params,
@@ -3407,7 +3398,6 @@ def get_optional_params(  # noqa: PLR0915
             ),
         )
     elif custom_llm_provider == "ollama":
-
         optional_params = litellm.OllamaConfig().map_openai_params(
             non_default_params=non_default_params,
             optional_params=optional_params,
@@ -3419,7 +3409,6 @@ def get_optional_params(  # noqa: PLR0915
             ),
         )
     elif custom_llm_provider == "ollama_chat":
-
         optional_params = litellm.OllamaChatConfig().map_openai_params(
             model=model,
             non_default_params=non_default_params,
@@ -4005,9 +3994,9 @@ def _count_characters(text: str) -> int:
 
 
 def get_response_string(response_obj: Union[ModelResponse, ModelResponseStream]) -> str:
-    _choices: Union[List[Union[Choices, StreamingChoices]], List[StreamingChoices]] = (
-        response_obj.choices
-    )
+    _choices: Union[
+        List[Union[Choices, StreamingChoices]], List[StreamingChoices]
+    ] = response_obj.choices
 
     response_str = ""
     for choice in _choices:
@@ -4405,7 +4394,6 @@ def _get_model_info_helper(  # noqa: PLR0915
                 ):
                     _model_info = None
             if _model_info is None and model in litellm.model_cost:
-
                 key = model
                 _model_info = _get_model_info_from_model_cost(key=key)
                 if not _check_provider_match(
@@ -4416,7 +4404,6 @@ def _get_model_info_helper(  # noqa: PLR0915
                 _model_info is None
                 and combined_stripped_model_name in litellm.model_cost
             ):
-
                 key = combined_stripped_model_name
                 _model_info = _get_model_info_from_model_cost(key=key)
                 if not _check_provider_match(
@@ -4424,7 +4411,6 @@ def _get_model_info_helper(  # noqa: PLR0915
                 ):
                     _model_info = None
             if _model_info is None and stripped_model_name in litellm.model_cost:
-
                 key = stripped_model_name
                 _model_info = _get_model_info_from_model_cost(key=key)
                 if not _check_provider_match(
@@ -4432,7 +4418,6 @@ def _get_model_info_helper(  # noqa: PLR0915
                 ):
                     _model_info = None
             if _model_info is None and split_model in litellm.model_cost:
-
                 key = split_model
                 _model_info = _get_model_info_from_model_cost(key=key)
                 if not _check_provider_match(
diff --git a/poetry.lock b/poetry.lock
index 64e8eaa8ff..d659d66952 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -436,7 +436,7 @@ files = [
 name = "cffi"
 version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
@@ -658,7 +658,7 @@ cron = ["capturer (>=2.4)"]
 name = "cryptography"
 version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
@@ -2563,7 +2563,7 @@ files = [
 name = "pycparser"
 version = "2.22"
 description = "C parser in Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
@@ -3326,6 +3326,32 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "ruff"
+version = "0.1.15"
+description = "An extremely fast Python linter and code formatter, written in Rust."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"},
+    {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0d432aec35bfc0d800d4f70eba26e23a352386be3a6cf157083d18f6f5881c8"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9405fa9ac0e97f35aaddf185a1be194a589424b8713e3b97b762336ec79ff807"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c66ec24fe36841636e814b8f90f572a8c0cb0e54d8b5c2d0e300d28a0d7bffec"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6f8ad828f01e8dd32cc58bc28375150171d198491fc901f6f98d2a39ba8e3ff5"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86811954eec63e9ea162af0ffa9f8d09088bab51b7438e8b6488b9401863c25e"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd4025ac5e87d9b80e1f300207eb2fd099ff8200fa2320d7dc066a3f4622dc6b"},
+    {file = "ruff-0.1.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b17b93c02cdb6aeb696effecea1095ac93f3884a49a554a9afa76bb125c114c1"},
+    {file = "ruff-0.1.15-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ddb87643be40f034e97e97f5bc2ef7ce39de20e34608f3f829db727a93fb82c5"},
+    {file = "ruff-0.1.15-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:abf4822129ed3a5ce54383d5f0e964e7fef74a41e48eb1dfad404151efc130a2"},
+    {file = "ruff-0.1.15-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6c629cf64bacfd136c07c78ac10a54578ec9d1bd2a9d395efbee0935868bf852"},
+    {file = "ruff-0.1.15-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1bab866aafb53da39c2cadfb8e1c4550ac5340bb40300083eb8967ba25481447"},
+    {file = "ruff-0.1.15-py3-none-win32.whl", hash = "sha256:2417e1cb6e2068389b07e6fa74c306b2810fe3ee3476d5b8a96616633f40d14f"},
+    {file = "ruff-0.1.15-py3-none-win_amd64.whl", hash = "sha256:3837ac73d869efc4182d9036b1405ef4c73d9b1f88da2413875e34e0d6919587"},
+    {file = "ruff-0.1.15-py3-none-win_arm64.whl", hash = "sha256:9a933dfb1c14ec7a33cceb1e49ec4a16b51ce3c20fd42663198746efc0427360"},
+    {file = "ruff-0.1.15.tar.gz", hash = "sha256:f6dfa8c1b21c913c326919056c390966648b680966febcb796cc9d1aaab8564e"},
+]
+
 [[package]]
 name = "s3transfer"
 version = "0.10.4"
@@ -3603,6 +3629,111 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "types-cffi"
+version = "1.16.0.20241221"
+description = "Typing stubs for cffi"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types_cffi-1.16.0.20241221-py3-none-any.whl", hash = "sha256:e5b76b4211d7a9185f6ab8d06a106d56c7eb80af7cdb8bfcb4186ade10fb112f"},
+    {file = "types_cffi-1.16.0.20241221.tar.gz", hash = "sha256:1c96649618f4b6145f58231acb976e0b448be6b847f7ab733dabe62dfbff6591"},
+]
+
+[package.dependencies]
+types-setuptools = "*"
+
+[[package]]
+name = "types-pyopenssl"
+version = "24.1.0.20240722"
+description = "Typing stubs for pyOpenSSL"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-pyOpenSSL-24.1.0.20240722.tar.gz", hash = "sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39"},
+    {file = "types_pyOpenSSL-24.1.0.20240722-py3-none-any.whl", hash = "sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54"},
+]
+
+[package.dependencies]
+cryptography = ">=35.0.0"
+types-cffi = "*"
+
+[[package]]
+name = "types-pyyaml"
+version = "6.0.12.20241230"
+description = "Typing stubs for PyYAML"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
+    {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
+]
+
+[[package]]
+name = "types-redis"
+version = "4.6.0.20241004"
+description = "Typing stubs for redis"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-redis-4.6.0.20241004.tar.gz", hash = "sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e"},
+    {file = "types_redis-4.6.0.20241004-py3-none-any.whl", hash = "sha256:ef5da68cb827e5f606c8f9c0b49eeee4c2669d6d97122f301d3a55dc6a63f6ed"},
+]
+
+[package.dependencies]
+cryptography = ">=35.0.0"
+types-pyOpenSSL = "*"
+
+[[package]]
+name = "types-requests"
+version = "2.31.0.6"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
+    {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
+]
+
+[package.dependencies]
+types-urllib3 = "*"
+
+[[package]]
+name = "types-requests"
+version = "2.32.0.20241016"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
+    {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
+[[package]]
+name = "types-setuptools"
+version = "75.8.0.20250110"
+description = "Typing stubs for setuptools"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types_setuptools-75.8.0.20250110-py3-none-any.whl", hash = "sha256:a9f12980bbf9bcdc23ecd80755789085bad6bfce4060c2275bc2b4ca9f2bc480"},
+    {file = "types_setuptools-75.8.0.20250110.tar.gz", hash = "sha256:96f7ec8bbd6e0a54ea180d66ad68ad7a1d7954e7281a710ea2de75e355545271"},
+]
+
+[[package]]
+name = "types-urllib3"
+version = "1.26.25.14"
+description = "Typing stubs for urllib3"
+optional = false
+python-versions = "*"
+files = [
+    {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
+    {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.13.0"
@@ -3993,4 +4124,4 @@ proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "0f195796116a7c7a4a04d9958a7662d74baccb5266f531bb58a4403fd4db4e0e"
+content-hash = "36792478ff4afec5c8e748caf9b2ae6bebf3dd223e78bea2626b6589ef3277e4"
diff --git a/pyproject.toml b/pyproject.toml
index 2dbfcc39de..5eb4a71160 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ Documentation = "https://docs.litellm.ai"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0, !=3.9.7"
 httpx = ">=0.23.0"
-openai = ">=1.66.1"
+openai = ">=1.68.2"
 python-dotenv = ">=0.2.0"
 tiktoken = ">=0.7.0"
 importlib-metadata = ">=6.8.0"
@@ -100,6 +100,11 @@ pytest = "^7.4.3"
 pytest-mock = "^3.12.0"
 pytest-asyncio = "^0.21.1"
 respx = "^0.20.2"
+ruff = "^0.1.0"
+types-requests = "*"
+types-setuptools = "*"
+types-redis = "*"
+types-PyYAML = "*"
 
 [tool.poetry.group.proxy-dev.dependencies]
 prisma = "0.11.0"
diff --git a/tests/litellm_utils_tests/test_hashicorp.py b/tests/litellm_utils_tests/test_hashicorp.py
index 612af5a79c..c61168c99d 100644
--- a/tests/litellm_utils_tests/test_hashicorp.py
+++ b/tests/litellm_utils_tests/test_hashicorp.py
@@ -165,19 +165,26 @@ async def test_hashicorp_secret_manager_delete_secret():
         )
 
 
-def test_hashicorp_secret_manager_tls_cert_auth():
-    with patch("httpx.post") as mock_post:
-        # Configure the mock response for TLS auth
-        mock_auth_response = MagicMock()
-        mock_auth_response.json.return_value = {
+def test_hashicorp_secret_manager_tls_cert_auth(monkeypatch):
+    monkeypatch.setenv("HCP_VAULT_TOKEN", "test-client-token-12345")
+    print("HCP_VAULT_TOKEN=", os.getenv("HCP_VAULT_TOKEN"))
+    # Mock both httpx.post and httpx.Client
+    with patch("httpx.Client") as mock_client:
+        # Configure the mock client and response
+        mock_response = MagicMock()
+        mock_response.json.return_value = {
             "auth": {
                 "client_token": "test-client-token-12345",
                 "lease_duration": 3600,
                 "renewable": True,
             }
         }
-        mock_auth_response.raise_for_status.return_value = None
-        mock_post.return_value = mock_auth_response
+        mock_response.raise_for_status.return_value = None
+        
+        # Configure the mock client's post method
+        mock_client_instance = MagicMock()
+        mock_client_instance.post.return_value = mock_response
+        mock_client.return_value = mock_client_instance
 
         # Create a new instance with TLS cert config
         test_manager = HashicorpSecretManager()
@@ -185,19 +192,22 @@ def test_hashicorp_secret_manager_tls_cert_auth():
         test_manager.tls_key_path = "key.pem"
         test_manager.vault_cert_role = "test-role"
         test_manager.vault_namespace = "test-namespace"
+        
         # Test the TLS auth method
         token = test_manager._auth_via_tls_cert()
 
-        # Verify the token and request parameters
+        # Verify the token
         assert token == "test-client-token-12345"
-        mock_post.assert_called_once_with(
+        
+        # Verify Client was created with correct cert tuple
+        mock_client.assert_called_once_with(cert=("cert.pem", "key.pem"))
+        
+        # Verify post was called with correct parameters
+        mock_client_instance.post.assert_called_once_with(
             f"{test_manager.vault_addr}/v1/auth/cert/login",
-            cert=("cert.pem", "key.pem"),
             headers={"X-Vault-Namespace": "test-namespace"},
             json={"name": "test-role"},
         )
 
         # Verify the token was cached
-        assert (
-            test_manager.cache.get_cache("hcp_vault_token") == "test-client-token-12345"
-        )
+        assert test_manager.cache.get_cache("hcp_vault_token") == "test-client-token-12345"

From fe3623d7756d0648b45c0d825fc8413a08bd5bcb Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 11:26:18 -0700
Subject: [PATCH 192/244] init mcp client manager

---
 .../mcp_server/mcp_client_manager.py          | 89 +++++++++++++++++++
 1 file changed, 89 insertions(+)
 create mode 100644 litellm/proxy/_experimental/mcp_server/mcp_client_manager.py

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py
new file mode 100644
index 0000000000..c1a2310775
--- /dev/null
+++ b/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py
@@ -0,0 +1,89 @@
+"""
+MCP Client Manager
+
+This class is responsible for managing MCP SSE clients.
+
+This is a Proxy 
+"""
+
+from typing import Any, Dict, List, Optional
+
+from mcp import ClientSession
+from mcp.client.sse import sse_client
+from pydantic import BaseModel, ConfigDict
+
+from litellm._logging import verbose_logger
+
+
+class MCPSSEServer(BaseModel):
+    name: str
+    url: str
+    client_session: Optional[ClientSession] = None
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+
+class MCPServerManager:
+    def __init__(self, mcp_servers: List[MCPSSEServer]):
+        self.mcp_servers: List[MCPSSEServer] = mcp_servers
+        """
+        eg.
+        [
+            {
+                "name": "zapier_mcp_server",
+                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
+            },
+            {
+                "name": "google_drive_mcp_server",
+                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
+            }
+        ]
+        """
+
+        self.tool_name_to_mcp_server_name_mapping: Dict[str, str] = {}
+        """
+        {
+            "gmail_send_email": "zapier_mcp_server",
+        }
+        """
+
+    async def list_tools(self):
+        """
+        List all tools available in all the MCP Servers
+        """
+        for server in self.mcp_servers:
+            async with sse_client(url=server.url) as (read, write):
+                async with ClientSession(read, write) as session:
+                    server.client_session = session
+                    await server.client_session.initialize()
+                    list_tools_result = await server.client_session.list_tools()
+                    verbose_logger.debug(
+                        f"Tools from {server.name}: {list_tools_result}"
+                    )
+                    for tool in list_tools_result.tools:
+                        self.tool_name_to_mcp_server_name_mapping[tool.name] = (
+                            server.name
+                        )
+
+    async def call_tool(self, name: str, arguments: Dict[str, Any]):
+        """
+        Call a tool with the given name and arguments
+        """
+        mcp_server = self._get_mcp_server_from_tool_name(name)
+        if mcp_server is None:
+            raise ValueError(f"Tool {name} not found")
+        async with sse_client(url=mcp_server.url) as (read, write):
+            async with ClientSession(read, write) as session:
+                mcp_server.client_session = session
+                await mcp_server.client_session.initialize()
+                return await mcp_server.client_session.call_tool(name, arguments)
+
+    def _get_mcp_server_from_tool_name(self, tool_name: str) -> Optional[MCPSSEServer]:
+        """
+        Get the MCP Server from the tool name
+        """
+        if tool_name in self.tool_name_to_mcp_server_name_mapping:
+            for server in self.mcp_servers:
+                if server.name == self.tool_name_to_mcp_server_name_mapping[tool_name]:
+                    return server
+        return None

From aa2489d74fc5968c7be9add11d9e064170a8edde Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 11:36:51 -0700
Subject: [PATCH 193/244] build(.gitignore): update gitignore

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index aac1a61ddc..e599411328 100644
--- a/.gitignore
+++ b/.gitignore
@@ -84,3 +84,4 @@ litellm/proxy/migrations/0_init/migration.sql
 litellm/proxy/db/migrations/0_init/migration.sql
 litellm/proxy/db/migrations/*
 litellm/proxy/migrations/*config.yaml
+litellm/proxy/migrations/*

From ec283f7289683017e037c6c19b21d3f3b02aaaca Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 12:46:13 -0700
Subject: [PATCH 194/244] use global_mcp_server_manager

---
 .../mcp_server/mcp_client_manager.py          | 89 -------------------
 litellm/proxy/proxy_server.py                 |  7 ++
 2 files changed, 7 insertions(+), 89 deletions(-)
 delete mode 100644 litellm/proxy/_experimental/mcp_server/mcp_client_manager.py

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py
deleted file mode 100644
index c1a2310775..0000000000
--- a/litellm/proxy/_experimental/mcp_server/mcp_client_manager.py
+++ /dev/null
@@ -1,89 +0,0 @@
-"""
-MCP Client Manager
-
-This class is responsible for managing MCP SSE clients.
-
-This is a Proxy 
-"""
-
-from typing import Any, Dict, List, Optional
-
-from mcp import ClientSession
-from mcp.client.sse import sse_client
-from pydantic import BaseModel, ConfigDict
-
-from litellm._logging import verbose_logger
-
-
-class MCPSSEServer(BaseModel):
-    name: str
-    url: str
-    client_session: Optional[ClientSession] = None
-
-    model_config = ConfigDict(arbitrary_types_allowed=True)
-
-
-class MCPServerManager:
-    def __init__(self, mcp_servers: List[MCPSSEServer]):
-        self.mcp_servers: List[MCPSSEServer] = mcp_servers
-        """
-        eg.
-        [
-            {
-                "name": "zapier_mcp_server",
-                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
-            },
-            {
-                "name": "google_drive_mcp_server",
-                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
-            }
-        ]
-        """
-
-        self.tool_name_to_mcp_server_name_mapping: Dict[str, str] = {}
-        """
-        {
-            "gmail_send_email": "zapier_mcp_server",
-        }
-        """
-
-    async def list_tools(self):
-        """
-        List all tools available in all the MCP Servers
-        """
-        for server in self.mcp_servers:
-            async with sse_client(url=server.url) as (read, write):
-                async with ClientSession(read, write) as session:
-                    server.client_session = session
-                    await server.client_session.initialize()
-                    list_tools_result = await server.client_session.list_tools()
-                    verbose_logger.debug(
-                        f"Tools from {server.name}: {list_tools_result}"
-                    )
-                    for tool in list_tools_result.tools:
-                        self.tool_name_to_mcp_server_name_mapping[tool.name] = (
-                            server.name
-                        )
-
-    async def call_tool(self, name: str, arguments: Dict[str, Any]):
-        """
-        Call a tool with the given name and arguments
-        """
-        mcp_server = self._get_mcp_server_from_tool_name(name)
-        if mcp_server is None:
-            raise ValueError(f"Tool {name} not found")
-        async with sse_client(url=mcp_server.url) as (read, write):
-            async with ClientSession(read, write) as session:
-                mcp_server.client_session = session
-                await mcp_server.client_session.initialize()
-                return await mcp_server.client_session.call_tool(name, arguments)
-
-    def _get_mcp_server_from_tool_name(self, tool_name: str) -> Optional[MCPSSEServer]:
-        """
-        Get the MCP Server from the tool name
-        """
-        if tool_name in self.tool_name_to_mcp_server_name_mapping:
-            for server in self.mcp_servers:
-                if server.name == self.tool_name_to_mcp_server_name_mapping[tool_name]:
-                    return server
-        return None
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 89c15f413d..1a469d2c27 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -127,6 +127,9 @@ from litellm.litellm_core_utils.core_helpers import (
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
+from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
+    global_mcp_server_manager,
+)
 from litellm.proxy._experimental.mcp_server.server import router as mcp_router
 from litellm.proxy._experimental.mcp_server.tool_registry import (
     global_mcp_tool_registry,
@@ -1961,6 +1964,10 @@ class ProxyConfig:
         if mcp_tools_config:
             global_mcp_tool_registry.load_tools_from_config(mcp_tools_config)
 
+        mcp_servers_config = config.get("mcp_servers", None)
+        if mcp_servers_config:
+            global_mcp_server_manager.load_servers_from_config(mcp_servers_config)
+
         ## CREDENTIALS
         credential_list_dict = self.load_credential_list(config=config)
         litellm.credential_list = credential_list_dict

From 6aa660b3f5ffef27faad0488dddb289a53080e23 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 12:51:16 -0700
Subject: [PATCH 195/244] mcp server manager

---
 .../mcp_server/mcp_server_manager.py          | 125 ++++++++++++++++++
 .../proxy/_experimental/mcp_server/server.py  |  51 ++++++-
 .../types/mcp_server/mcp_server_manager.py    |  11 ++
 3 files changed, 182 insertions(+), 5 deletions(-)
 create mode 100644 litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
 create mode 100644 litellm/types/mcp_server/mcp_server_manager.py

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
new file mode 100644
index 0000000000..344fb39f79
--- /dev/null
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -0,0 +1,125 @@
+"""
+MCP Client Manager
+
+This class is responsible for managing MCP SSE clients.
+
+This is a Proxy 
+"""
+
+import json
+from typing import Any, Dict, List, Optional
+
+from mcp import ClientSession
+from mcp.client.sse import sse_client
+from mcp.types import Tool as MCPTool
+
+from litellm._logging import verbose_logger
+from litellm.types.mcp_server.mcp_server_manager import MCPSSEServer
+
+
+class MCPServerManager:
+    def __init__(self):
+        self.mcp_servers: List[MCPSSEServer] = []
+        """
+        eg.
+        [
+            {
+                "name": "zapier_mcp_server",
+                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
+            },
+            {
+                "name": "google_drive_mcp_server",
+                "url": "https://actions.zapier.com/mcp/sk-ak-2ew3bofIeQIkNoeKIdXrF1Hhhp/sse"
+            }
+        ]
+        """
+
+        self.tool_name_to_mcp_server_name_mapping: Dict[str, str] = {}
+        """
+        {
+            "gmail_send_email": "zapier_mcp_server",
+        }
+        """
+
+    def load_servers_from_config(self, mcp_servers_config: Dict[str, Any]):
+        """
+        Load the MCP Servers from the config
+        """
+        for server_name, server_config in mcp_servers_config.items():
+            self.mcp_servers.append(
+                MCPSSEServer(
+                    name=server_name,
+                    url=server_config["url"],
+                )
+            )
+        verbose_logger.debug(
+            f"Loaded MCP Servers: {json.dumps(self.mcp_servers, indent=4, default=str)}"
+        )
+
+    async def list_tools(self) -> List[MCPTool]:
+        """
+        List all tools available across all MCP Servers.
+
+        Returns:
+            List[MCPTool]: Combined list of tools from all servers
+        """
+        list_tools_result: List[MCPTool] = []
+        verbose_logger.debug("SSE SERVER MANAGER LISTING TOOLS")
+
+        for server in self.mcp_servers:
+            tools = await self._get_tools_from_server(server)
+            list_tools_result.extend(tools)
+
+        return list_tools_result
+
+    async def _get_tools_from_server(self, server: MCPSSEServer) -> List[MCPTool]:
+        """
+        Helper method to get tools from a single MCP server.
+
+        Args:
+            server (MCPSSEServer): The server to query tools from
+
+        Returns:
+            List[MCPTool]: List of tools available on the server
+        """
+        verbose_logger.debug(f"Connecting to url: {server.url}")
+
+        async with sse_client(url=server.url) as (read, write):
+            async with ClientSession(read, write) as session:
+                server.client_session = session
+                await server.client_session.initialize()
+
+                tools_result = await server.client_session.list_tools()
+                verbose_logger.debug(f"Tools from {server.name}: {tools_result}")
+
+                # Update tool to server mapping
+                for tool in tools_result.tools:
+                    self.tool_name_to_mcp_server_name_mapping[tool.name] = server.name
+
+                return tools_result.tools
+
+    async def call_tool(self, name: str, arguments: Dict[str, Any]):
+        """
+        Call a tool with the given name and arguments
+        """
+        mcp_server = self._get_mcp_server_from_tool_name(name)
+        if mcp_server is None:
+            raise ValueError(f"Tool {name} not found")
+        async with sse_client(url=mcp_server.url) as (read, write):
+            async with ClientSession(read, write) as session:
+                mcp_server.client_session = session
+                await mcp_server.client_session.initialize()
+                return await mcp_server.client_session.call_tool(name, arguments)
+
+    def _get_mcp_server_from_tool_name(self, tool_name: str) -> Optional[MCPSSEServer]:
+        """
+        Get the MCP Server from the tool name
+        """
+        if tool_name in self.tool_name_to_mcp_server_name_mapping:
+            for server in self.mcp_servers:
+                if server.name == self.tool_name_to_mcp_server_name_mapping[tool_name]:
+                    return server
+        return None
+
+
+global_mcp_server_manager: MCPServerManager = MCPServerManager()
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index f617312d5a..a1de700d50 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -36,6 +36,7 @@ if MCP_AVAILABLE:
     from mcp.types import TextContent as MCPTextContent
     from mcp.types import Tool as MCPTool
 
+    from .mcp_server_manager import global_mcp_server_manager
     from .sse_transport import SseServerTransport
     from .tool_registry import global_mcp_tool_registry
 
@@ -67,24 +68,64 @@ if MCP_AVAILABLE:
                     inputSchema=tool.input_schema,
                 )
             )
-
+        verbose_logger.debug(
+            "GLOBAL MCP TOOLS: %s", global_mcp_tool_registry.list_tools()
+        )
+        sse_tools: List[MCPTool] = await global_mcp_server_manager.list_tools()
+        verbose_logger.debug("SSE TOOLS: %s", sse_tools)
+        if sse_tools is not None:
+            tools.extend(sse_tools)
         return tools
 
     @server.call_tool()
-    async def handle_call_tool(
+    async def mcp_server_tool_call(
         name: str, arguments: Dict[str, Any] | None
     ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
         """
         Call a specific tool with the provided arguments
+
+        Args:
+            name (str): Name of the tool to call
+            arguments (Dict[str, Any] | None): Arguments to pass to the tool
+
+        Returns:
+            List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]: Tool execution results
+
+        Raises:
+            HTTPException: If tool not found or arguments missing
         """
-        tool = global_mcp_tool_registry.get_tool(name)
-        if not tool:
-            raise HTTPException(status_code=404, detail=f"Tool '{name}' not found")
+        # Validate arguments
         if arguments is None:
             raise HTTPException(
                 status_code=400, detail="Request arguments are required"
             )
 
+        # Try managed server tool first
+        if name in global_mcp_server_manager.tool_name_to_mcp_server_name_mapping:
+            return await _handle_managed_mcp_tool(name, arguments)
+
+        # Fall back to local tool registry
+        return await _handle_local_mcp_tool(name, arguments)
+
+    async def _handle_managed_mcp_tool(
+        name: str, arguments: Dict[str, Any]
+    ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
+        """Handle tool execution for managed server tools"""
+        call_tool_result = await global_mcp_server_manager.call_tool(
+            name=name,
+            arguments=arguments,
+        )
+        verbose_logger.debug("CALL TOOL RESULT: %s", call_tool_result)
+        return call_tool_result.content
+
+    async def _handle_local_mcp_tool(
+        name: str, arguments: Dict[str, Any]
+    ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
+        """Handle tool execution for local registry tools"""
+        tool = global_mcp_tool_registry.get_tool(name)
+        if not tool:
+            raise HTTPException(status_code=404, detail=f"Tool '{name}' not found")
+
         try:
             result = tool.handler(**arguments)
             return [MCPTextContent(text=str(result), type="text")]
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
new file mode 100644
index 0000000000..a106557fb6
--- /dev/null
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -0,0 +1,11 @@
+from typing import Optional
+
+from mcp import ClientSession
+from pydantic import BaseModel, ConfigDict
+
+
+class MCPSSEServer(BaseModel):
+    name: str
+    url: str
+    client_session: Optional[ClientSession] = None
+    model_config = ConfigDict(arbitrary_types_allowed=True)

From a1ec0dd0e2963bec022a2e0784013eea6b5abd34 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 12:52:46 -0700
Subject: [PATCH 196/244] add testing mcp server

---
 litellm/proxy/proxy_config.yaml             | 14 +++--
 tests/mcp_tests/test_mcp_server.py          | 37 ++++++++++++
 tests/pass_through_tests/test_mcp_routes.py | 66 ++++++++++++++++++---
 3 files changed, 105 insertions(+), 12 deletions(-)
 create mode 100644 tests/mcp_tests/test_mcp_server.py

diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 106003f996..9da28ff51f 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -1,7 +1,13 @@
 model_list:
-  - model_name: fake-openai-endpoint
+  - model_name: gpt-4o
     litellm_params:
-      model: openai/fake
-      api_key: fake-key
-      api_base: https://exampleopenaiendpoint-production.up.railway.app/
+      model: openai/gpt-4o
 
+mcp_servers:
+  {
+  "Zapier MCP": {
+    "url": "os.environ/ZAPIER_MCP_SERVER_URL",
+  },
+  }
+
+}
\ No newline at end of file
diff --git a/tests/mcp_tests/test_mcp_server.py b/tests/mcp_tests/test_mcp_server.py
new file mode 100644
index 0000000000..17abd1d6a5
--- /dev/null
+++ b/tests/mcp_tests/test_mcp_server.py
@@ -0,0 +1,37 @@
+# Create server parameters for stdio connection
+import os
+import sys
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.proxy._experimental.mcp_server.mcp_client_manager import (
+    MCPServerManager,
+    MCPSSEServer,
+)
+
+
+MCP_SERVERS = [
+    MCPSSEServer(name="zapier_mcp_server", url=os.environ.get("ZAPIER_MCP_SERVER_URL")),
+]
+
+mcp_server_manager = MCPServerManager(mcp_servers=MCP_SERVERS)
+
+
+@pytest.mark.asyncio
+async def test_mcp_server_manager():
+    tools = await mcp_server_manager.list_tools()
+    print("TOOLS FROM MCP SERVER MANAGER== ", tools)
+
+    result = await mcp_server_manager.call_tool(
+        name="gmail_send_email", arguments={"body": "Test"}
+    )
+    print("RESULT FROM CALLING TOOL FROM MCP SERVER MANAGER== ", result)
+
+
+"""
+TODO test with multiple MCP servers and calling a specific 
+
+"""
diff --git a/tests/pass_through_tests/test_mcp_routes.py b/tests/pass_through_tests/test_mcp_routes.py
index 687efe6195..d496a430af 100644
--- a/tests/pass_through_tests/test_mcp_routes.py
+++ b/tests/pass_through_tests/test_mcp_routes.py
@@ -2,15 +2,24 @@
 import asyncio
 import os
 
+import pytest
 from langchain_mcp_adapters.tools import load_mcp_tools
 from langchain_openai import ChatOpenAI
 from langgraph.prebuilt import create_react_agent
 from mcp import ClientSession
 from mcp.client.sse import sse_client
+from litellm.experimental_mcp_client.tools import (
+    transform_mcp_tool_to_openai_tool,
+    _transform_openai_tool_call_to_mcp_tool_call_request,
+)
+import json
 
 
-async def main():
-    model = ChatOpenAI(model="gpt-4o", api_key="sk-12")
+@pytest.mark.asyncio
+async def test_mcp_routes():
+    model = ChatOpenAI(
+        model="gpt-4o", api_key="sk-1234", base_url="http://localhost:4000"
+    )
 
     async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
         async with ClientSession(read, write) as session:
@@ -25,11 +34,52 @@ async def main():
             print("Tools loaded")
             print(tools)
 
-            # # Create and run the agent
-            # agent = create_react_agent(model, tools)
-            # agent_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
+            # Create and run the agent
+            agent = create_react_agent(model, tools)
+            agent_response = await agent.ainvoke({"messages": "Send an "})
+            print(agent_response)
 
 
-# Run the async function
-if __name__ == "__main__":
-    asyncio.run(main())
+@pytest.mark.asyncio
+async def test_mcp_routes_with_vertex_ai():
+    # Create and run the agent
+    from openai import AsyncOpenAI
+
+    openai_client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
+    async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
+        async with ClientSession(read, write) as session:
+            await session.initialize()
+            MCP_TOOLS = await session.list_tools()
+
+            print("MCP TOOLS from litellm proxy: ", MCP_TOOLS)
+            messages = [
+                {
+                    "role": "user",
+                    "content": "send an email about litellm supporting MCP and send it to krrish@berri.ai",
+                }
+            ]
+            llm_response = await openai_client.chat.completions.create(
+                model="gpt-4o",
+                messages=messages,
+                tools=[
+                    transform_mcp_tool_to_openai_tool(tool) for tool in MCP_TOOLS.tools
+                ],
+                tool_choice="required",
+            )
+            print("LLM RESPONSE: ", json.dumps(llm_response, indent=4, default=str))
+
+            # Add assertions to verify the response
+            openai_tool = llm_response.choices[0].message.tool_calls[0]
+
+            # Call the tool using MCP client
+            mcp_tool_call_request = (
+                _transform_openai_tool_call_to_mcp_tool_call_request(
+                    openai_tool.model_dump()
+                )
+            )
+            call_result = await session.call_tool(
+                name=mcp_tool_call_request.name,
+                arguments=mcp_tool_call_request.arguments,
+            )
+            print("CALL RESULT: ", call_result)
+    pass

From 1cf5cbab5099522f092d54da4d119f05638e5830 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 13:35:46 -0700
Subject: [PATCH 197/244] REST API endpoint for MCP

---
 .../mcp_server/mcp_server_manager.py          |  1 +
 .../proxy/_experimental/mcp_server/server.py  | 82 ++++++++++++++++++-
 litellm/proxy/proxy_config.yaml               | 11 +--
 .../types/mcp_server/mcp_server_manager.py    | 14 +++-
 4 files changed, 100 insertions(+), 8 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index 344fb39f79..aa99a11318 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -50,6 +50,7 @@ class MCPServerManager:
                 MCPSSEServer(
                     name=server_name,
                     url=server_config["url"],
+                    mcp_info=server_config.get("mcp_info", None),
                 )
             )
         verbose_logger.debug(
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index a1de700d50..4fc91342c2 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -6,11 +6,15 @@ import asyncio
 from typing import Any, Dict, List, Union
 
 from anyio import BrokenResourceError
-from fastapi import APIRouter, HTTPException, Request
+from fastapi import APIRouter, Depends, HTTPException, Request
 from fastapi.responses import StreamingResponse
 from pydantic import ValidationError
 
 from litellm._logging import verbose_logger
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.types.mcp_server.mcp_server_manager import (
+    ListMCPToolsRestAPIResponseObject,
+)
 
 # Check if MCP is available
 # "mcp" requires python 3.10 or higher, but several litellm users use python 3.8
@@ -53,9 +57,14 @@ if MCP_AVAILABLE:
     ########################################################
     ############### MCP Server Routes #######################
     ########################################################
-
     @server.list_tools()
     async def list_tools() -> list[MCPTool]:
+        """
+        List all available tools
+        """
+        return await _list_mcp_tools()
+
+    async def _list_mcp_tools() -> List[MCPTool]:
         """
         List all available tools
         """
@@ -95,6 +104,18 @@ if MCP_AVAILABLE:
             HTTPException: If tool not found or arguments missing
         """
         # Validate arguments
+        response = await call_mcp_tool(
+            name=name,
+            arguments=arguments,
+        )
+        return response
+
+    async def call_mcp_tool(
+        name: str, arguments: Dict[str, Any] | None
+    ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
+        """
+        Call a specific tool with the provided arguments
+        """
         if arguments is None:
             raise HTTPException(
                 status_code=400, detail="Request arguments are required"
@@ -154,6 +175,63 @@ if MCP_AVAILABLE:
         await sse.handle_post_message(request.scope, request.receive, request._send)
         await request.close()
 
+    ########################################################
+    ############ MCP Server REST API Routes #################
+    ########################################################
+    @router.get("/tools/list", dependencies=[Depends(user_api_key_auth)])
+    async def list_tool_rest_api() -> (
+        List[Dict[str, ListMCPToolsRestAPIResponseObject]]
+    ):
+        """
+        List all available tools with information about the server they belong to.
+
+        Example response:
+        Tools:
+        [
+            "zapier": {
+                "tools": [
+                    {
+                        "name": "create_zap",
+                        "description": "Create a new zap",
+                        "inputSchema": "tool_input_schema",
+                    }
+                ],
+                "mcp_info": {
+                    "logo_url": "https://www.zapier.com/logo.png",
+                }
+            },
+            "fetch": {
+                "tools": [
+                    {
+                        "name": "fetch_data",
+                        "description": "Fetch data from a URL",
+                    }
+                ],
+                "mcp_info": {
+                    "logo_url": "https://www.fetch.com/logo.png",
+                }
+            }
+        """
+        list_tools_result: List[Dict[str, ListMCPToolsRestAPIResponseObject]] = []
+        for server in global_mcp_server_manager.mcp_servers:
+            tools = await global_mcp_server_manager._get_tools_from_server(server)
+            list_tools_result.append(
+                {
+                    server.name: ListMCPToolsRestAPIResponseObject(
+                        tools=tools,
+                        mcp_info=server.mcp_info,
+                    )
+                }
+            )
+        return list_tools_result
+
+    @router.post("/tools/call", dependencies=[Depends(user_api_key_auth)])
+    async def call_tool_rest_api(name: str, arguments: Dict[str, Any]):
+        return await call_mcp_tool(
+            name=name,
+            arguments=arguments,
+        )
+
     options = InitializationOptions(
         server_name="litellm-mcp-server",
         server_version="0.1.0",
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 9da28ff51f..bffb39a1b8 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -5,9 +5,10 @@ model_list:
 
 mcp_servers:
   {
-  "Zapier MCP": {
-    "url": "os.environ/ZAPIER_MCP_SERVER_URL",
-  },
+    "Zapier MCP": {
+      "url": "os.environ/ZAPIER_MCP_SERVER_URL",
+      "mcp_info": {
+        "logo_url": "https://www.zapier.com/logo.png",
+      }
+    }
   }
-
-}
\ No newline at end of file
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
index a106557fb6..0996e62b3a 100644
--- a/litellm/types/mcp_server/mcp_server_manager.py
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -1,6 +1,7 @@
-from typing import Optional
+from typing import Any, Dict, List, Optional
 
 from mcp import ClientSession
+from mcp.types import Tool as MCPTool
 from pydantic import BaseModel, ConfigDict
 
 
@@ -8,4 +9,15 @@ class MCPSSEServer(BaseModel):
     name: str
     url: str
     client_session: Optional[ClientSession] = None
+    mcp_info: Optional[Dict[str, Any]] = None
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+
+class ListMCPToolsRestAPIResponseObject(BaseModel):
+    """
+    Object returned by the /tools/list REST API route.
+    """
+
+    tools: List[MCPTool]
+    mcp_info: Optional[Dict[str, Any]] = None
     model_config = ConfigDict(arbitrary_types_allowed=True)

From b381dde9ac52d1010e7c09b8f7cad4662a52d9b6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 14:30:34 -0700
Subject: [PATCH 198/244] basic UI rendering of MCP tools

---
 ui/litellm-dashboard/src/app/page.tsx         |   8 +
 .../src/components/leftnav.tsx                |   4 +-
 .../src/components/mcp_tools/columns.tsx      | 306 ++++++++++++++++++
 .../src/components/mcp_tools/types.tsx        |  71 ++++
 .../src/components/networking.tsx             |  70 ++++
 5 files changed, 458 insertions(+), 1 deletion(-)
 create mode 100644 ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
 create mode 100644 ui/litellm-dashboard/src/components/mcp_tools/types.tsx

diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index f480501b58..a4256b3f4b 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -32,6 +32,8 @@ import GuardrailsPanel from "@/components/guardrails";
 import TransformRequestPanel from "@/components/transform_request";
 import { fetchUserModels } from "@/components/create_key_button";
 import { fetchTeams } from "@/components/common_components/fetch_teams";
+import MCPToolsViewer from "@/components/mcp_tools";
+
 function getCookie(name: string) {
   const cookieValue = document.cookie
     .split("; ")
@@ -347,6 +349,12 @@ export default function CreateKeyPage() {
                   accessToken={accessToken}
                   allTeams={teams as Team[] ?? []}
                 />
+              ) : page == "mcp-tools" ? (
+                <MCPToolsViewer
+                  accessToken={accessToken}
+                  userRole={userRole}
+                  userID={userID}
+                />
               ) : page == "new_usage" ? (
                 <NewUsagePage
                   userID={userID}
diff --git a/ui/litellm-dashboard/src/components/leftnav.tsx b/ui/litellm-dashboard/src/components/leftnav.tsx
index 3713a40cdc..8879ba6eef 100644
--- a/ui/litellm-dashboard/src/components/leftnav.tsx
+++ b/ui/litellm-dashboard/src/components/leftnav.tsx
@@ -20,7 +20,8 @@ import {
   SafetyOutlined,
   ExperimentOutlined,
   ThunderboltOutlined,
-  LockOutlined
+  LockOutlined,
+  ToolOutlined,
 } from '@ant-design/icons';
 import { old_admin_roles, v2_admin_role_names, all_admin_roles, rolesAllowedToSeeUsage, rolesWithWriteAccess } from '../utils/roles';
 
@@ -69,6 +70,7 @@ const menuItems: MenuItem[] = [
       { key: "10", page: "budgets", label: "Budgets", icon: <BankOutlined />, roles: all_admin_roles },
       { key: "11", page: "guardrails", label: "Guardrails", icon: <SafetyOutlined />, roles: all_admin_roles },
       { key: "12", page: "new_usage", label: "New Usage", icon: <BarChartOutlined />, roles: all_admin_roles },
+      { key: "18", page: "mcp-tools", label: "MCP Tools", icon: <ToolOutlined />, roles: all_admin_roles },
     ]
   },
   {
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx b/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
new file mode 100644
index 0000000000..5e347a7e1e
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
@@ -0,0 +1,306 @@
+import React from "react";
+import { ColumnDef } from "@tanstack/react-table";
+import { MCPTool, InputSchema } from "./types";
+
+export const columns: ColumnDef<MCPTool>[] = [
+  {
+    accessorKey: "mcp_info.server_name",
+    header: "Provider",
+    cell: ({ row }) => {
+      const serverName = row.original.mcp_info.server_name;
+      const logoUrl = row.original.mcp_info.logo_url;
+      
+      return (
+        <div className="flex items-center space-x-2">
+          {logoUrl && (
+            <img 
+              src={logoUrl} 
+              alt={`${serverName} logo`} 
+              className="h-5 w-5 object-contain"
+            />
+          )}
+          <span className="font-medium">{serverName}</span>
+        </div>
+      );
+    },
+  },
+  {
+    accessorKey: "name",
+    header: "Tool Name",
+    cell: ({ row }) => {
+      const name = row.getValue("name") as string;
+      return (
+        <div>
+          <span className="font-mono text-sm">{name}</span>
+        </div>
+      );
+    },
+  },
+  {
+    accessorKey: "description",
+    header: "Description",
+    cell: ({ row }) => {
+      const description = row.getValue("description") as string;
+      return (
+        <div className="max-w-md">
+          <span className="text-sm text-gray-700">{description}</span>
+        </div>
+      );
+    },
+  },
+  {
+    id: "actions",
+    header: "Actions",
+    cell: ({ row }) => {
+      const tool = row.original;
+      
+      return (
+        <div className="flex items-center space-x-2">
+          <button
+            onClick={() => {
+              if (typeof row.original.onToolSelect === 'function') {
+                row.original.onToolSelect(tool);
+              }
+            }}
+            className="px-3 py-1 text-xs rounded-md bg-blue-600 text-white hover:bg-blue-700"
+          >
+            Test Tool
+          </button>
+        </div>
+      );
+    },
+  },
+];
+
+// Tool Panel component to display when a tool is selected
+export function ToolTestPanel({
+  tool,
+  onSubmit,
+  isLoading,
+  result,
+  error,
+  onClose
+}: {
+  tool: MCPTool;
+  onSubmit: (args: Record<string, any>) => void;
+  isLoading: boolean;
+  result: any | null;
+  error: Error | null;
+  onClose: () => void;
+}) {
+  const [formState, setFormState] = React.useState<Record<string, any>>({});
+
+  // Create a placeholder schema if we only have the "tool_input_schema" string
+  const schema: InputSchema = React.useMemo(() => {
+    if (typeof tool.inputSchema === 'string') {
+      // Default schema with a single text field
+      return {
+        type: "object",
+        properties: {
+          input: {
+            type: "string",
+            description: "Input for this tool"
+          }
+        },
+        required: ["input"]
+      };
+    }
+    return tool.inputSchema as InputSchema;
+  }, [tool.inputSchema]);
+
+  const handleInputChange = (key: string, value: any) => {
+    setFormState(prev => ({
+      ...prev,
+      [key]: value
+    }));
+  };
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    onSubmit(formState);
+  };
+
+  return (
+    <div className="bg-white rounded-lg shadow-lg border p-6 max-w-4xl w-full">
+      <div className="flex justify-between items-start mb-4">
+        <div>
+          <h2 className="text-xl font-bold">Test Tool: <span className="font-mono">{tool.name}</span></h2>
+          <p className="text-gray-600">{tool.description}</p>
+          <p className="text-sm text-gray-500 mt-1">Provider: {tool.mcp_info.server_name}</p>
+        </div>
+        <button
+          onClick={onClose}
+          className="p-1 rounded-full hover:bg-gray-200"
+        >
+          <svg 
+            xmlns="http://www.w3.org/2000/svg" 
+            width="20" 
+            height="20" 
+            viewBox="0 0 24 24" 
+            fill="none" 
+            stroke="currentColor" 
+            strokeWidth="2" 
+            strokeLinecap="round" 
+            strokeLinejoin="round"
+          >
+            <line x1="18" y1="6" x2="6" y2="18"></line>
+            <line x1="6" y1="6" x2="18" y2="18"></line>
+          </svg>
+        </button>
+      </div>
+
+      <div className="grid grid-cols-1 md:grid-cols-2 gap-6">
+        {/* Form Section */}
+        <div className="bg-gray-50 p-4 rounded-lg">
+          <h3 className="font-medium mb-4">Input Parameters</h3>
+          <form onSubmit={handleSubmit}>
+            {typeof tool.inputSchema === 'string' ? (
+              <div className="mb-4">
+                <p className="text-xs text-gray-500 mb-1">This tool uses a dynamic input schema.</p>
+                <div className="mb-4">
+                  <label className="block text-sm font-medium text-gray-700 mb-1">
+                    Input <span className="text-red-500">*</span>
+                  </label>
+                  <input
+                    type="text"
+                    value={formState.input || ""}
+                    onChange={(e) => handleInputChange("input", e.target.value)}
+                    required
+                    className="w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 sm:text-sm"
+                  />
+                </div>
+              </div>
+            ) : (
+              Object.entries(schema.properties).map(([key, prop]) => (
+                <div key={key} className="mb-4">
+                  <label className="block text-sm font-medium text-gray-700 mb-1">
+                    {key}{" "}
+                    {schema.required?.includes(key) && (
+                      <span className="text-red-500">*</span>
+                    )}
+                  </label>
+                  {prop.description && (
+                    <p className="text-xs text-gray-500 mb-1">{prop.description}</p>
+                  )}
+                  
+                  {/* Render appropriate input based on type */}
+                  {prop.type === "string" && (
+                    <input
+                      type="text"
+                      value={formState[key] || ""}
+                      onChange={(e) => handleInputChange(key, e.target.value)}
+                      required={schema.required?.includes(key)}
+                      className="w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 sm:text-sm"
+                    />
+                  )}
+                  
+                  {prop.type === "number" && (
+                    <input
+                      type="number"
+                      value={formState[key] || ""}
+                      onChange={(e) => handleInputChange(key, parseFloat(e.target.value))}
+                      required={schema.required?.includes(key)}
+                      className="w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 sm:text-sm"
+                    />
+                  )}
+                  
+                  {prop.type === "boolean" && (
+                    <div className="flex items-center">
+                      <input
+                        type="checkbox"
+                        checked={formState[key] || false}
+                        onChange={(e) => handleInputChange(key, e.target.checked)}
+                        className="h-4 w-4 text-blue-600 focus:ring-blue-500 border-gray-300 rounded"
+                      />
+                      <span className="ml-2 text-sm text-gray-600">Enable</span>
+                    </div>
+                  )}
+                </div>
+              ))
+            )}
+            
+            <div className="mt-6">
+              <button
+                type="submit"
+                disabled={isLoading}
+                className="w-full px-4 py-2 border border-transparent rounded-md shadow-sm text-sm font-medium text-white bg-blue-600 hover:bg-blue-700 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-blue-500 disabled:opacity-50"
+              >
+                {isLoading ? "Calling..." : "Call Tool"}
+              </button>
+            </div>
+          </form>
+        </div>
+        
+        {/* Result Section */}
+        <div className="bg-gray-50 p-4 rounded-lg overflow-auto max-h-[500px]">
+          <h3 className="font-medium mb-4">Result</h3>
+          
+          {isLoading && (
+            <div className="flex justify-center items-center py-8">
+              <div className="animate-spin rounded-full h-8 w-8 border-b-2 border-blue-700"></div>
+            </div>
+          )}
+          
+          {error && (
+            <div className="bg-red-50 border border-red-200 text-red-800 px-4 py-3 rounded-md">
+              <p className="font-medium">Error</p>
+              <pre className="mt-2 text-xs overflow-auto whitespace-pre-wrap">{error.message}</pre>
+            </div>
+          )}
+          
+          {result && !isLoading && !error && (
+            <div>
+              {result.map((content: any, idx: number) => (
+                <div key={idx} className="mb-4">
+                  {content.type === "text" && (
+                    <div className="bg-white border p-3 rounded-md">
+                      <p className="whitespace-pre-wrap text-sm">{content.text}</p>
+                    </div>
+                  )}
+                  
+                  {content.type === "image" && content.url && (
+                    <div className="bg-white border p-3 rounded-md">
+                      <img src={content.url} alt="Tool result" className="max-w-full h-auto rounded" />
+                    </div>
+                  )}
+                  
+                  {content.type === "embedded_resource" && (
+                    <div className="bg-white border p-3 rounded-md">
+                      <p className="text-sm font-medium">Embedded Resource</p>
+                      <p className="text-xs text-gray-500">Type: {content.resource_type}</p>
+                      {content.url && (
+                        <a 
+                          href={content.url} 
+                          target="_blank" 
+                          rel="noopener noreferrer"
+                          className="text-sm text-blue-600 hover:underline"
+                        >
+                          View Resource
+                        </a>
+                      )}
+                    </div>
+                  )}
+                </div>
+              ))}
+              
+              <div className="mt-2">
+                <details className="text-xs">
+                  <summary className="cursor-pointer text-gray-500 hover:text-gray-700">Raw JSON Response</summary>
+                  <pre className="mt-2 bg-gray-100 p-2 rounded-md overflow-auto max-h-[300px]">
+                    {JSON.stringify(result, null, 2)}
+                  </pre>
+                </details>
+              </div>
+            </div>
+          )}
+          
+          {!result && !isLoading && !error && (
+            <div className="text-center py-8 text-gray-500">
+              <p>The result will appear here after you call the tool.</p>
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+} 
\ No newline at end of file
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/types.tsx b/ui/litellm-dashboard/src/components/mcp_tools/types.tsx
new file mode 100644
index 0000000000..7bbb76fa23
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/mcp_tools/types.tsx
@@ -0,0 +1,71 @@
+// Define the structure for tool input schema properties
+export interface InputSchemaProperty {
+    type: string;
+    description?: string;
+  }
+  
+  // Define the structure for the input schema of a tool
+  export interface InputSchema {
+    type: "object";
+    properties: Record<string, InputSchemaProperty>;
+    required?: string[];
+  }
+  
+  // Define MCP provider info
+  export interface MCPInfo {
+    server_name: string;
+    logo_url?: string;
+  }
+  
+  // Define the structure for a single MCP tool
+  export interface MCPTool {
+    name: string;
+    description: string;
+    inputSchema: InputSchema | string; // API returns string "tool_input_schema" or the actual schema
+    mcp_info: MCPInfo;
+    // Function to select a tool (added in the component)
+    onToolSelect?: (tool: MCPTool) => void;
+  }
+  
+  // Define the response structure for the listMCPTools endpoint - now a flat array
+  export type ListMCPToolsResponse = MCPTool[];
+  
+  // Define the argument structure for calling an MCP tool
+  export interface CallMCPToolArgs {
+    name: string;
+    arguments: Record<string, any> | null;
+    server_name?: string; // Now using server_name from mcp_info
+  }
+  
+  // Define the possible content types in the response
+  export interface MCPTextContent {
+    type: "text";
+    text: string;
+    annotations?: any;
+  }
+  
+  export interface MCPImageContent {
+    type: "image";
+    url?: string;
+    data?: string;
+  }
+  
+  export interface MCPEmbeddedResource {
+    type: "embedded_resource";
+    resource_type?: string;
+    url?: string;
+    data?: any;
+  }
+  
+  // Define the union type for the content array in the response
+  export type MCPContent = MCPTextContent | MCPImageContent | MCPEmbeddedResource;
+  
+  // Define the response structure for the callMCPTool endpoint
+  export type CallMCPToolResponse = MCPContent[];
+  
+  // Props for the main component
+  export interface MCPToolsViewerProps {
+    accessToken: string | null;
+    userRole: string | null;
+    userID: string | null;
+  }
\ No newline at end of file
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 83d258e532..57a2dd3331 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -4084,3 +4084,73 @@ export const updateInternalUserSettings = async (accessToken: string, settings:
     throw error;
   }
 };
+
+
+export const listMCPTools = async (accessToken: string) => {
+  try {
+    // Construct base URL
+    let url = proxyBaseUrl 
+      ? `${proxyBaseUrl}/mcp/tools/list`
+      : `/mcp/tools/list`;
+
+    console.log("Fetching MCP tools from:", url);
+    
+    const response = await fetch(url, {
+      method: "GET",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      const errorData = await response.text();
+      handleError(errorData);
+      throw new Error("Network response was not ok");
+    }
+
+    const data = await response.json();
+    console.log("Fetched MCP tools:", data);
+    return data;
+  } catch (error) {
+    console.error("Failed to fetch MCP tools:", error);
+    throw error;
+  }
+};
+
+
+export const callMCPTool = async (accessToken: string, toolName: string, toolArguments: Record<string, any>) => {
+  try {
+    // Construct base URL
+    let url = proxyBaseUrl 
+      ? `${proxyBaseUrl}/mcp/tools/call`
+      : `/mcp/tools/call`;
+
+    console.log("Calling MCP tool:", toolName, "with arguments:", toolArguments);
+    
+    const response = await fetch(url, {
+      method: "POST",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        tool_name: toolName,
+        tool_arguments: toolArguments,
+      }),
+    });
+
+    if (!response.ok) {
+      const errorData = await response.text();
+      handleError(errorData);
+      throw new Error("Network response was not ok");
+    }
+
+    const data = await response.json();
+    console.log("MCP tool call response:", data);
+    return data;
+  } catch (error) {
+    console.error("Failed to call MCP tool:", error);
+    throw error;
+  }
+};
\ No newline at end of file

From e0cff7595cf7d82c3ac195a760cd92697ceb6999 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 14:31:35 -0700
Subject: [PATCH 199/244] endpoints to list and call tools

---
 .../mcp_server/mcp_server_manager.py          |   7 +-
 .../proxy/_experimental/mcp_server/server.py  |  45 +++---
 litellm/proxy/proxy_config.yaml               |   2 +-
 .../types/mcp_server/mcp_server_manager.py    |  13 +-
 .../src/components/mcp_tools/index.tsx        | 147 ++++++++++++++++++
 5 files changed, 182 insertions(+), 32 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/mcp_tools/index.tsx

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index aa99a11318..a2b378fe09 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -14,7 +14,7 @@ from mcp.client.sse import sse_client
 from mcp.types import Tool as MCPTool
 
 from litellm._logging import verbose_logger
-from litellm.types.mcp_server.mcp_server_manager import MCPSSEServer
+from litellm.types.mcp_server.mcp_server_manager import MCPInfo, MCPSSEServer
 
 
 class MCPServerManager:
@@ -46,11 +46,14 @@ class MCPServerManager:
         Load the MCP Servers from the config
         """
         for server_name, server_config in mcp_servers_config.items():
+            _mcp_info: dict = server_config.get("mcp_info", None) or {}
+            mcp_info = MCPInfo(**_mcp_info)
+            mcp_info["server_name"] = server_name
             self.mcp_servers.append(
                 MCPSSEServer(
                     name=server_name,
                     url=server_config["url"],
-                    mcp_info=server_config.get("mcp_info", None),
+                    mcp_info=mcp_info,
                 )
             )
         verbose_logger.debug(
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 4fc91342c2..698a556a01 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -179,50 +179,45 @@ if MCP_AVAILABLE:
     ############ MCP Server REST API Routes #################
     ########################################################
     @router.get("/tools/list", dependencies=[Depends(user_api_key_auth)])
-    async def list_tool_rest_api() -> (
-        List[Dict[str, ListMCPToolsRestAPIResponseObject]]
-    ):
+    async def list_tool_rest_api() -> List[ListMCPToolsRestAPIResponseObject]:
         """
         List all available tools with information about the server they belong to.
 
         Example response:
         Tools:
         [
-            "zapier": {
-                "tools": [
-                    {
-                        "name": "create_zap",
-                        "description": "Create a new zap",
-                        "inputSchema": "tool_input_schema",
-                    }
-                ],
+            {
+                "name": "create_zap",
+                "description": "Create a new zap",
+                "inputSchema": "tool_input_schema",
                 "mcp_info": {
+                    "server_name": "zapier",
                     "logo_url": "https://www.zapier.com/logo.png",
                 }
             },
-            "fetch": {
-                "tools": [
-                    {
-                        "name": "fetch_data",
-                        "description": "Fetch data from a URL",
-                    }
-                ],
+            {
+                "name": "fetch_data",
+                "description": "Fetch data from a URL",
+                "inputSchema": "tool_input_schema",
                 "mcp_info": {
+                    "server_name": "fetch",
                     "logo_url": "https://www.fetch.com/logo.png",
                 }
             }
+        ]
         """
-        list_tools_result: List[Dict[str, ListMCPToolsRestAPIResponseObject]] = []
+        list_tools_result: List[ListMCPToolsRestAPIResponseObject] = []
         for server in global_mcp_server_manager.mcp_servers:
             tools = await global_mcp_server_manager._get_tools_from_server(server)
-            list_tools_result.append(
-                {
-                    server.name: ListMCPToolsRestAPIResponseObject(
-                        tools=tools,
+            for tool in tools:
+                list_tools_result.append(
+                    ListMCPToolsRestAPIResponseObject(
+                        name=tool.name,
+                        description=tool.description,
+                        inputSchema=tool.inputSchema,
                         mcp_info=server.mcp_info,
                     )
-                }
-            )
+                )
         return list_tools_result
 
     @router.post("/tools/call", dependencies=[Depends(user_api_key_auth)])
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index bffb39a1b8..3956eab23f 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -8,7 +8,7 @@ mcp_servers:
     "Zapier MCP": {
       "url": "os.environ/ZAPIER_MCP_SERVER_URL",
       "mcp_info": {
-        "logo_url": "https://www.zapier.com/logo.png",
+        "logo_url": "https://espysys.com/wp-content/uploads/2024/08/zapier-logo.webp",
       }
     }
   }
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
index 0996e62b3a..981926df3c 100644
--- a/litellm/types/mcp_server/mcp_server_manager.py
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -3,21 +3,26 @@ from typing import Any, Dict, List, Optional
 from mcp import ClientSession
 from mcp.types import Tool as MCPTool
 from pydantic import BaseModel, ConfigDict
+from typing_extensions import TypedDict
+
+
+class MCPInfo(TypedDict, total=False):
+    server_name: str
+    logo_url: Optional[str]
 
 
 class MCPSSEServer(BaseModel):
     name: str
     url: str
     client_session: Optional[ClientSession] = None
-    mcp_info: Optional[Dict[str, Any]] = None
+    mcp_info: Optional[MCPInfo] = None
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
 
-class ListMCPToolsRestAPIResponseObject(BaseModel):
+class ListMCPToolsRestAPIResponseObject(MCPTool):
     """
     Object returned by the /tools/list REST API route.
     """
 
-    tools: List[MCPTool]
-    mcp_info: Optional[Dict[str, Any]] = None
+    mcp_info: Optional[MCPInfo] = None
     model_config = ConfigDict(arbitrary_types_allowed=True)
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/index.tsx b/ui/litellm-dashboard/src/components/mcp_tools/index.tsx
new file mode 100644
index 0000000000..9018752705
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/mcp_tools/index.tsx
@@ -0,0 +1,147 @@
+import React, { useState } from 'react';
+import { useQuery, useMutation } from '@tanstack/react-query';
+import { DataTable } from '../view_logs/table';
+import { columns, ToolTestPanel } from './columns';
+import { MCPTool, MCPToolsViewerProps, CallMCPToolResponse } from './types';
+import { listMCPTools, callMCPTool } from '../networking';
+
+export default function MCPToolsViewer({
+  accessToken,
+  userRole,
+  userID,
+}: MCPToolsViewerProps) {
+  const [searchTerm, setSearchTerm] = useState('');
+  const [selectedTool, setSelectedTool] = useState<MCPTool | null>(null);
+  const [toolResult, setToolResult] = useState<CallMCPToolResponse | null>(null);
+  const [toolError, setToolError] = useState<Error | null>(null);
+
+  // Query to fetch MCP tools
+  const { data: mcpTools, isLoading: isLoadingTools } = useQuery({
+    queryKey: ['mcpTools'],
+    queryFn: () => {
+      if (!accessToken) throw new Error('Access Token required');
+      return listMCPTools(accessToken);
+    },
+    enabled: !!accessToken,
+  });
+
+  // Mutation for calling a tool
+  const { mutate: executeTool, isPending: isCallingTool } = useMutation({
+    mutationFn: (args: { tool: MCPTool; arguments: Record<string, any> }) => {
+      if (!accessToken) throw new Error('Access Token required');
+      return callMCPTool(
+        accessToken,
+        args.tool.name,
+        args.arguments
+      );
+    },
+    onSuccess: (data) => {
+      setToolResult(data);
+      setToolError(null);
+    },
+    onError: (error: Error) => {
+      setToolError(error);
+      setToolResult(null);
+    },
+  });
+
+  // Add onToolSelect handler to each tool
+  const toolsData = React.useMemo(() => {
+    if (!mcpTools) return [];
+    
+    return mcpTools.map(tool => ({
+      ...tool,
+      onToolSelect: (tool: MCPTool) => {
+        setSelectedTool(tool);
+        setToolResult(null);
+        setToolError(null);
+      }
+    }));
+  }, [mcpTools]);
+
+  // Filter tools based on search term
+  const filteredTools = React.useMemo(() => {
+    return toolsData.filter(tool => {
+      const searchLower = searchTerm.toLowerCase();
+      return (
+        tool.name.toLowerCase().includes(searchLower) ||
+        tool.description.toLowerCase().includes(searchLower) ||
+        tool.mcp_info.server_name.toLowerCase().includes(searchLower)
+      );
+    });
+  }, [toolsData, searchTerm]);
+
+  // Handle tool call submission
+  const handleToolSubmit = (args: Record<string, any>) => {
+    if (!selectedTool) return;
+    
+    executeTool({
+      tool: selectedTool,
+      arguments: args,
+    });
+  };
+
+  if (!accessToken || !userRole || !userID) {
+    return <div className="p-6 text-center text-gray-500">Missing required authentication parameters.</div>;
+  }
+
+  return (
+    <div className="w-full p-6">
+      <div className="flex items-center justify-between mb-4">
+        <h1 className="text-xl font-semibold">MCP Tools</h1>
+      </div>
+
+      <div className="bg-white rounded-lg shadow">
+        <div className="border-b px-6 py-4">
+          <div className="flex items-center justify-between">
+            <div className="relative w-64">
+              <input
+                type="text"
+                placeholder="Search tools..."
+                className="w-full px-3 py-2 pl-8 border rounded-md text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
+                value={searchTerm}
+                onChange={(e) => setSearchTerm(e.target.value)}
+              />
+              <svg
+                className="absolute left-2.5 top-2.5 h-4 w-4 text-gray-500"
+                fill="none"
+                stroke="currentColor"
+                viewBox="0 0 24 24"
+              >
+                <path
+                  strokeLinecap="round"
+                  strokeLinejoin="round"
+                  strokeWidth={2}
+                  d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
+                />
+              </svg>
+            </div>
+            <div className="text-sm text-gray-500">
+              {filteredTools.length} tool{filteredTools.length !== 1 ? "s" : ""} available
+            </div>
+          </div>
+        </div>
+
+        <DataTable
+          columns={columns}
+          data={filteredTools}
+          isLoading={isLoadingTools}
+        />
+      </div>
+
+      {/* Tool Test Panel - Show when a tool is selected */}
+      {selectedTool && (
+        <div className="fixed inset-0 bg-gray-800 bg-opacity-75 flex items-center justify-center z-50 p-4">
+          <ToolTestPanel
+            tool={selectedTool}
+            onSubmit={handleToolSubmit}
+            isLoading={isCallingTool}
+            result={toolResult}
+            error={toolError}
+            onClose={() => setSelectedTool(null)}
+          />
+        </div>
+      )}
+    </div>
+  );
+} 
\ No newline at end of file

From a4a083041dad4ea0a7994ce8d9597dcf6b55479e Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 14:42:19 -0700
Subject: [PATCH 200/244] working MCP call tool method

---
 litellm/proxy/_experimental/mcp_server/server.py   | 5 ++++-
 ui/litellm-dashboard/src/components/networking.tsx | 4 ++--
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 698a556a01..3e94576efb 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -221,7 +221,10 @@ if MCP_AVAILABLE:
         return list_tools_result
 
     @router.post("/tools/call", dependencies=[Depends(user_api_key_auth)])
-    async def call_tool_rest_api(name: str, arguments: Dict[str, Any]):
+    async def call_tool_rest_api(request: Request):
+        data = await request.json()
+        name = data.get("name")
+        arguments = data.get("arguments")
         return await call_mcp_tool(
             name=name,
             arguments=arguments,
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 57a2dd3331..9190319cc9 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -4135,8 +4135,8 @@ export const callMCPTool = async (accessToken: string, toolName: string, toolArg
         "Content-Type": "application/json",
       },
       body: JSON.stringify({
-        tool_name: toolName,
-        tool_arguments: toolArguments,
+        name: toolName,
+        arguments: toolArguments,
       }),
     });
 

From b7b9f9d9dae099a0d1a55cb2947d30e15de53dca Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 15:20:52 -0700
Subject: [PATCH 201/244] working MCP tool call logging

---
 litellm/litellm_core_utils/litellm_logging.py |  2 +-
 .../mcp_server/mcp_server_manager.py          | 26 +++++++++++++++++
 .../proxy/_experimental/mcp_server/server.py  | 28 +++++++++++++------
 3 files changed, 47 insertions(+), 9 deletions(-)

diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 3565c4468c..8e83aea69a 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -1099,7 +1099,7 @@ class Logging(LiteLLMLoggingBaseClass):
                             standard_built_in_tools_params=self.standard_built_in_tools_params,
                         )
                     )
-                elif isinstance(result, dict):  # pass-through endpoints
+                elif isinstance(result, dict) or isinstance(result, list):
                     ## STANDARDIZED LOGGING PAYLOAD
                     self.model_call_details["standard_logging_object"] = (
                         get_standard_logging_object_payload(
diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index a2b378fe09..c73eabd629 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -6,6 +6,7 @@ This class is responsible for managing MCP SSE clients.
 This is a Proxy 
 """
 
+import asyncio
 import json
 from typing import Any, Dict, List, Optional
 
@@ -60,6 +61,8 @@ class MCPServerManager:
             f"Loaded MCP Servers: {json.dumps(self.mcp_servers, indent=4, default=str)}"
         )
 
+        self.initialize_tool_name_to_mcp_server_name_mapping()
+
     async def list_tools(self) -> List[MCPTool]:
         """
         List all tools available across all MCP Servers.
@@ -102,6 +105,29 @@ class MCPServerManager:
 
                 return tools_result.tools
 
+    def initialize_tool_name_to_mcp_server_name_mapping(self):
+        """
+        On startup, initialize the tool name to MCP server name mapping
+        """
+        try:
+            if asyncio.get_running_loop():
+                asyncio.create_task(
+                    self._initialize_tool_name_to_mcp_server_name_mapping()
+                )
+        except RuntimeError as e:  # no running event loop
+            verbose_logger.exception(
+                f"No running event loop - skipping tool name to MCP server name mapping initialization: {str(e)}"
+            )
+
+    async def _initialize_tool_name_to_mcp_server_name_mapping(self):
+        """
+        Call list_tools for each server and update the tool name to MCP server name mapping
+        """
+        for server in self.mcp_servers:
+            tools = await self._get_tools_from_server(server)
+            for tool in tools:
+                self.tool_name_to_mcp_server_name_mapping[tool.name] = server.name
+
     async def call_tool(self, name: str, arguments: Dict[str, Any]):
         """
         Call a tool with the given name and arguments
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 3e94576efb..32c33904a3 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -3,7 +3,7 @@ LiteLLM MCP Server Routes
 """
 
 import asyncio
-from typing import Any, Dict, List, Union
+from typing import Any, Dict, List, Optional, Union
 
 from anyio import BrokenResourceError
 from fastapi import APIRouter, Depends, HTTPException, Request
@@ -11,10 +11,12 @@ from fastapi.responses import StreamingResponse
 from pydantic import ValidationError
 
 from litellm._logging import verbose_logger
+from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.types.mcp_server.mcp_server_manager import (
     ListMCPToolsRestAPIResponseObject,
 )
+from litellm.utils import client
 
 # Check if MCP is available
 # "mcp" requires python 3.10 or higher, but several litellm users use python 3.8
@@ -110,8 +112,9 @@ if MCP_AVAILABLE:
         )
         return response
 
+    @client
     async def call_mcp_tool(
-        name: str, arguments: Dict[str, Any] | None
+        name: str, arguments: Optional[Dict[str, Any]] = None, **kwargs: Any
     ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
         """
         Call a specific tool with the provided arguments
@@ -221,14 +224,23 @@ if MCP_AVAILABLE:
         return list_tools_result
 
     @router.post("/tools/call", dependencies=[Depends(user_api_key_auth)])
-    async def call_tool_rest_api(request: Request):
+    async def call_tool_rest_api(
+        request: Request,
+        user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+    ):
+        """
+        REST API to call a specific MCP tool with the provided arguments
+        """
+        from litellm.proxy.proxy_server import add_litellm_data_to_request, proxy_config
+
         data = await request.json()
-        name = data.get("name")
-        arguments = data.get("arguments")
-        return await call_mcp_tool(
-            name=name,
-            arguments=arguments,
+        data = await add_litellm_data_to_request(
+            data=data,
+            request=request,
+            user_api_key_dict=user_api_key_dict,
+            proxy_config=proxy_config,
         )
+        return await call_mcp_tool(**data)
 
     options = InitializationOptions(
         server_name="litellm-mcp-server",

From 1604f87663f7d6081e99a266b241538bf25ca29f Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 15:27:09 -0700
Subject: [PATCH 202/244] install prisma migration files - connects litellm
 proxy to litellm's prisma migration files (#9637)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* build(README.md): initial commit adding a separate folder for additional proxy files. Meant to reduce size of core package

* build(litellm-proxy-extras/): new pip package for storing migration files

allows litellm proxy to use migration files, without adding them to core repo

* build(litellm-proxy-extras/): cleanup pyproject.toml

* build: move prisma migration files inside new proxy extras package

* build(run_migration.py): update script to write to correct folder

* build(proxy_cli.py): load in migration files from litellm-proxy-extras

Closes https://github.com/BerriAI/litellm/issues/9558

* build: add MIT license to litellm-proxy-extras

* test: update test

* fix: fix schema

* bump: version 0.1.0 → 0.1.1

* build(publish-proxy-extras.sh): add script for publishing new proxy-extras version

* build(liccheck.ini): add litellm-proxy-extras to authorized packages

* fix(litellm-proxy-extras/utils.py): move prisma migrate logic inside extra proxy pkg

easier since migrations folder already there

* build(pre-commit-config.yaml): add litellm_proxy_extras to ci tests

* docs(config_settings.md): document new env var

* build(pyproject.toml): bump relevant files when litellm-proxy-extras version changed

* build(pre-commit-config.yaml): run poetry check on litellm-proxy-extras as well
---
 .pre-commit-config.yaml                       |  23 ++---
 ci_cd/publish-proxy-extras.sh                 |  19 ++++
 ci_cd/run_migration.py                        |   5 +-
 docs/my-website/docs/proxy/config_settings.md |   1 +
 litellm-proxy-extras/LICENSE                  |  26 ++++++
 litellm-proxy-extras/README.md                |  21 +++++
 ...itellm_proxy_extras-0.1.0-py3-none-any.whl | Bin 0 -> 5320 bytes
 .../dist/litellm_proxy_extras-0.1.0.tar.gz    | Bin 0 -> 3390 bytes
 ...itellm_proxy_extras-0.1.1-py3-none-any.whl | Bin 0 -> 6307 bytes
 .../dist/litellm_proxy_extras-0.1.1.tar.gz    | Bin 0 -> 4245 bytes
 .../litellm_proxy_extras/__init__.py          |   0
 .../litellm_proxy_extras/_logging.py          |  12 +++
 .../20250326162113_baseline/migration.sql     |   0
 .../migration.sql                             |   0
 .../migration.sql                             |   0
 .../migration.sql                             |   0
 .../migrations/migration_lock.toml            |   0
 .../litellm_proxy_extras/utils.py             |  80 +++++++++++++++++
 litellm-proxy-extras/pyproject.toml           |  30 +++++++
 litellm-proxy-extras/tests/__init__.py        |   0
 litellm/proxy/db/prisma_client.py             |  81 +++---------------
 litellm/proxy/proxy_cli.py                    |   2 +-
 poetry.lock                                   |  15 +++-
 pyproject.toml                                |   4 +-
 requirements.txt                              |   1 +
 tests/code_coverage_tests/liccheck.ini        |   3 +-
 .../test_db_schema_migration.py               |   2 +-
 27 files changed, 229 insertions(+), 96 deletions(-)
 create mode 100644 ci_cd/publish-proxy-extras.sh
 create mode 100644 litellm-proxy-extras/LICENSE
 create mode 100644 litellm-proxy-extras/README.md
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0-py3-none-any.whl
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0.tar.gz
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.1.1-py3-none-any.whl
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.1.1.tar.gz
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/__init__.py
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/_logging.py
 rename {deploy => litellm-proxy-extras/litellm_proxy_extras}/migrations/20250326162113_baseline/migration.sql (100%)
 rename {deploy => litellm-proxy-extras/litellm_proxy_extras}/migrations/20250326171002_add_daily_user_table/migration.sql (100%)
 rename {deploy => litellm-proxy-extras/litellm_proxy_extras}/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql (100%)
 rename {deploy => litellm-proxy-extras/litellm_proxy_extras}/migrations/20250329084805_new_cron_job_table/migration.sql (100%)
 rename {deploy => litellm-proxy-extras/litellm_proxy_extras}/migrations/migration_lock.toml (100%)
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/utils.py
 create mode 100644 litellm-proxy-extras/pyproject.toml
 create mode 100644 litellm-proxy-extras/tests/__init__.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index bceedb41aa..dedb37d6dd 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -6,46 +6,35 @@ repos:
         entry: pyright
         language: system
         types: [python]
-        files: ^litellm/
+        files: ^(litellm/|litellm_proxy_extras/)
     -   id: isort
         name: isort
         entry: isort
         language: system
         types: [python]
-        files: litellm/.*\.py
+        files: (litellm/|litellm_proxy_extras/).*\.py
         exclude: ^litellm/__init__.py$
     -   id: black
         name: black
         entry: poetry run black
         language: system
         types: [python]
-        files: litellm/.*\.py
+        files: (litellm/|litellm_proxy_extras/).*\.py
 -   repo: https://github.com/pycqa/flake8
     rev: 7.0.0  # The version of flake8 to use
     hooks:
     -  id: flake8
        exclude: ^litellm/tests/|^litellm/proxy/tests/|^litellm/tests/litellm/|^tests/litellm/
        additional_dependencies: [flake8-print]
-       files: litellm/.*\.py
-    # -  id: flake8
-    #    name: flake8 (router.py function length)
-    #    files: ^litellm/router\.py$
-    #    args: [--max-function-length=40]
-    # #    additional_dependencies: [flake8-functions]
+       files: (litellm/|litellm_proxy_extras/).*\.py
 -   repo: https://github.com/python-poetry/poetry
     rev: 1.8.0
     hooks:
       - id: poetry-check
+        files: ^(pyproject.toml|litellm-proxy-extras/pyproject.toml)$
 -   repo: local
     hooks:
     -   id: check-files-match
         name: Check if files match
         entry: python3 ci_cd/check_files_match.py
-        language: system
-    # -   id: check-file-length
-    #     name: Check file length
-    #     entry: python check_file_length.py
-    #     args: ["10000"]  # set your desired maximum number of lines
-    #     language: python
-    #     files: litellm/.*\.py
-    #     exclude: ^litellm/tests/
\ No newline at end of file
+        language: system
\ No newline at end of file
diff --git a/ci_cd/publish-proxy-extras.sh b/ci_cd/publish-proxy-extras.sh
new file mode 100644
index 0000000000..6c83d1f921
--- /dev/null
+++ b/ci_cd/publish-proxy-extras.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+# Exit on error
+set -e
+
+echo "🚀 Building and publishing litellm-proxy-extras"
+
+# Navigate to litellm-proxy-extras directory
+cd "$(dirname "$0")/../litellm-proxy-extras"
+
+# Build the package
+echo "📦 Building package..."
+poetry build
+
+# Publish to PyPI
+echo "🌎 Publishing to PyPI..."
+poetry publish
+
+echo "✅ Done! Package published successfully"
\ No newline at end of file
diff --git a/ci_cd/run_migration.py b/ci_cd/run_migration.py
index 69b4308e57..b11a38395c 100644
--- a/ci_cd/run_migration.py
+++ b/ci_cd/run_migration.py
@@ -8,7 +8,7 @@ import shutil
 
 def create_migration(migration_name: str = None):
     """
-    Create a new migration SQL file in deploy/migrations directory by comparing
+    Create a new migration SQL file in the migrations directory by comparing
     current database state with schema
 
     Args:
@@ -17,8 +17,7 @@ def create_migration(migration_name: str = None):
     try:
         # Get paths
         root_dir = Path(__file__).parent.parent
-        deploy_dir = root_dir / "deploy"
-        migrations_dir = deploy_dir / "migrations"
+        migrations_dir = root_dir / "litellm-proxy-extras" / "litellm_proxy_extras" / "migrations"
         schema_path = root_dir / "schema.prisma"
 
         # Create temporary PostgreSQL database
diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md
index 4a62184df7..05b3e0be37 100644
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@@ -515,4 +515,5 @@ router_settings:
 | UPSTREAM_LANGFUSE_RELEASE | Release version identifier for upstream Langfuse
 | UPSTREAM_LANGFUSE_SECRET_KEY | Secret key for upstream Langfuse authentication
 | USE_AWS_KMS | Flag to enable AWS Key Management Service for encryption
+| USE_PRISMA_MIGRATE | Flag to use prisma migrate instead of prisma db push. Recommended for production environments.
 | WEBHOOK_URL | URL for receiving webhooks from external services
diff --git a/litellm-proxy-extras/LICENSE b/litellm-proxy-extras/LICENSE
new file mode 100644
index 0000000000..3bfef5bae9
--- /dev/null
+++ b/litellm-proxy-extras/LICENSE
@@ -0,0 +1,26 @@
+Portions of this software are licensed as follows:
+
+* All content that resides under the "enterprise/" directory of this repository, if that directory exists, is licensed under the license defined in "enterprise/LICENSE".
+* Content outside of the above mentioned directories or restrictions above is available under the MIT license as defined below.
+---
+MIT License
+
+Copyright (c) 2023 Berri AI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/litellm-proxy-extras/README.md b/litellm-proxy-extras/README.md
new file mode 100644
index 0000000000..29453f65ba
--- /dev/null
+++ b/litellm-proxy-extras/README.md
@@ -0,0 +1,21 @@
+Additional files for the proxy. Reduces the size of the main litellm package.
+
+Currently, only stores the migration.sql files for litellm-proxy.
+
+To install, run:
+
+```bash
+pip install litellm-proxy-extras
+```
+OR 
+
+```bash
+pip install litellm[proxy] # installs litellm-proxy-extras and other proxy dependencies.
+```
+
+To use the migrations, run:
+
+```bash
+litellm --use_prisma_migrate
+```
+
diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0-py3-none-any.whl b/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0-py3-none-any.whl
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diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0.tar.gz b/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.0.tar.gz
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diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.1.tar.gz b/litellm-proxy-extras/dist/litellm_proxy_extras-0.1.1.tar.gz
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diff --git a/litellm-proxy-extras/litellm_proxy_extras/__init__.py b/litellm-proxy-extras/litellm_proxy_extras/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/litellm-proxy-extras/litellm_proxy_extras/_logging.py b/litellm-proxy-extras/litellm_proxy_extras/_logging.py
new file mode 100644
index 0000000000..118caecf48
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/_logging.py
@@ -0,0 +1,12 @@
+import logging
+
+# Set up package logger
+logger = logging.getLogger("litellm_proxy_extras")
+if not logger.handlers:  # Only add handler if none exists
+    handler = logging.StreamHandler()
+    formatter = logging.Formatter(
+        "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    )
+    handler.setFormatter(formatter)
+    logger.addHandler(handler)
+    logger.setLevel(logging.INFO)
diff --git a/deploy/migrations/20250326162113_baseline/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250326162113_baseline/migration.sql
similarity index 100%
rename from deploy/migrations/20250326162113_baseline/migration.sql
rename to litellm-proxy-extras/litellm_proxy_extras/migrations/20250326162113_baseline/migration.sql
diff --git a/deploy/migrations/20250326171002_add_daily_user_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250326171002_add_daily_user_table/migration.sql
similarity index 100%
rename from deploy/migrations/20250326171002_add_daily_user_table/migration.sql
rename to litellm-proxy-extras/litellm_proxy_extras/migrations/20250326171002_add_daily_user_table/migration.sql
diff --git a/deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
similarity index 100%
rename from deploy/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
rename to litellm-proxy-extras/litellm_proxy_extras/migrations/20250327180120_add_api_requests_to_daily_user_table/migration.sql
diff --git a/deploy/migrations/20250329084805_new_cron_job_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250329084805_new_cron_job_table/migration.sql
similarity index 100%
rename from deploy/migrations/20250329084805_new_cron_job_table/migration.sql
rename to litellm-proxy-extras/litellm_proxy_extras/migrations/20250329084805_new_cron_job_table/migration.sql
diff --git a/deploy/migrations/migration_lock.toml b/litellm-proxy-extras/litellm_proxy_extras/migrations/migration_lock.toml
similarity index 100%
rename from deploy/migrations/migration_lock.toml
rename to litellm-proxy-extras/litellm_proxy_extras/migrations/migration_lock.toml
diff --git a/litellm-proxy-extras/litellm_proxy_extras/utils.py b/litellm-proxy-extras/litellm_proxy_extras/utils.py
new file mode 100644
index 0000000000..894ae34122
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/utils.py
@@ -0,0 +1,80 @@
+import os
+import random
+import subprocess
+import time
+from typing import Optional
+
+from litellm_proxy_extras._logging import logger
+
+
+def str_to_bool(value: Optional[str]) -> bool:
+    if value is None:
+        return False
+    return value.lower() in ("true", "1", "t", "y", "yes")
+
+
+class ProxyExtrasDBManager:
+    @staticmethod
+    def setup_database(schema_path: str, use_migrate: bool = False) -> bool:
+        """
+        Set up the database using either prisma migrate or prisma db push
+        Uses migrations from litellm-proxy-extras package
+
+        Args:
+            schema_path (str): Path to the Prisma schema file
+            use_migrate (bool): Whether to use prisma migrate instead of db push
+
+        Returns:
+            bool: True if setup was successful, False otherwise
+        """
+        use_migrate = str_to_bool(os.getenv("USE_PRISMA_MIGRATE")) or use_migrate
+        for attempt in range(4):
+            original_dir = os.getcwd()
+            schema_dir = os.path.dirname(schema_path)
+            os.chdir(schema_dir)
+
+            try:
+                if use_migrate:
+                    logger.info("Running prisma migrate deploy")
+                    try:
+                        # Set migrations directory for Prisma
+                        subprocess.run(
+                            ["prisma", "migrate", "deploy"],
+                            timeout=60,
+                            check=True,
+                            capture_output=True,
+                            text=True,
+                        )
+                        logger.info("prisma migrate deploy completed")
+                        return True
+                    except subprocess.CalledProcessError as e:
+                        logger.info(f"prisma db error: {e.stderr}, e: {e.stdout}")
+                        if (
+                            "P3005" in e.stderr
+                            and "database schema is not empty" in e.stderr
+                        ):
+                            logger.info("Error: Database schema is not empty")
+                            return False
+                else:
+                    # Use prisma db push with increased timeout
+                    subprocess.run(
+                        ["prisma", "db", "push", "--accept-data-loss"],
+                        timeout=60,
+                        check=True,
+                    )
+                    return True
+            except subprocess.TimeoutExpired:
+                logger.info(f"Attempt {attempt + 1} timed out")
+                time.sleep(random.randrange(5, 15))
+            except subprocess.CalledProcessError as e:
+                attempts_left = 3 - attempt
+                retry_msg = (
+                    f" Retrying... ({attempts_left} attempts left)"
+                    if attempts_left > 0
+                    else ""
+                )
+                logger.info(f"The process failed to execute. Details: {e}.{retry_msg}")
+                time.sleep(random.randrange(5, 15))
+            finally:
+                os.chdir(original_dir)
+        return False
diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
new file mode 100644
index 0000000000..c130a7fa9b
--- /dev/null
+++ b/litellm-proxy-extras/pyproject.toml
@@ -0,0 +1,30 @@
+[tool.poetry]
+name = "litellm-proxy-extras"
+version = "0.1.1"
+description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
+authors = ["BerriAI"]
+readme = "README.md"
+
+
+[tool.poetry.urls]
+homepage = "https://litellm.ai"
+Homepage = "https://litellm.ai"
+repository = "https://github.com/BerriAI/litellm"
+Repository = "https://github.com/BerriAI/litellm"
+documentation = "https://docs.litellm.ai"
+Documentation = "https://docs.litellm.ai"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<4.0, !=3.9.7"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.commitizen]
+version = "0.1.1"
+version_files = [
+    "pyproject.toml:version",
+    "../requirements.txt:litellm-proxy-extras==",
+    "../pyproject.toml:litellm-proxy-extras = {version = \""
+]
\ No newline at end of file
diff --git a/litellm-proxy-extras/tests/__init__.py b/litellm-proxy-extras/tests/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/litellm/proxy/db/prisma_client.py b/litellm/proxy/db/prisma_client.py
index 4e38321e91..c81dc35e0c 100644
--- a/litellm/proxy/db/prisma_client.py
+++ b/litellm/proxy/db/prisma_client.py
@@ -179,42 +179,6 @@ class PrismaManager:
             verbose_proxy_logger.warning(f"Error creating baseline migration: {e}")
             return False
 
-    @staticmethod
-    def _copy_spend_tracking_migrations(prisma_dir: str) -> bool:
-        import shutil
-        from pathlib import Path
-
-        """
-        Check for and copy over spend tracking migrations if they exist in the deploy directory.
-        Returns True if migrations were found and copied, False otherwise.
-        """
-        try:
-            # Get the current file's directory
-            current_dir = Path(__file__).parent
-
-            # Check for migrations in the deploy directory (../../deploy/migrations)
-            deploy_migrations_dir = (
-                current_dir.parent.parent.parent / "deploy" / "migrations"
-            )
-
-            # Local migrations directory
-            local_migrations_dir = Path(prisma_dir + "/migrations")
-
-            if deploy_migrations_dir.exists():
-                # Create local migrations directory if it doesn't exist
-                local_migrations_dir.mkdir(parents=True, exist_ok=True)
-
-                # Copy all migration files
-                # Copy entire migrations folder recursively
-                shutil.copytree(
-                    deploy_migrations_dir, local_migrations_dir, dirs_exist_ok=True
-                )
-
-                return True
-            return False
-        except Exception:
-            return False
-
     @staticmethod
     def _get_migration_names(migrations_dir: str) -> list:
         """Get all migration directory names from the migrations folder"""
@@ -251,6 +215,7 @@ class PrismaManager:
             bool: True if setup was successful, False otherwise
         """
 
+        use_migrate = str_to_bool(os.getenv("USE_PRISMA_MIGRATE")) or use_migrate
         for attempt in range(4):
             original_dir = os.getcwd()
             prisma_dir = PrismaManager._get_prisma_dir()
@@ -258,44 +223,20 @@ class PrismaManager:
             os.chdir(prisma_dir)
             try:
                 if use_migrate:
-                    PrismaManager._copy_spend_tracking_migrations(
-                        prisma_dir
-                    )  # place a migration in the migrations directory
-                    verbose_proxy_logger.info("Running prisma migrate deploy")
                     try:
-                        subprocess.run(
-                            ["prisma", "migrate", "deploy"],
-                            timeout=60,
-                            check=True,
-                            capture_output=True,
-                            text=True,
+                        from litellm_proxy_extras.utils import ProxyExtrasDBManager
+                    except ImportError as e:
+                        verbose_proxy_logger.error(
+                            f"\033[1;31mLiteLLM: Failed to import proxy extras. Got {e}\033[0m"
                         )
-                        verbose_proxy_logger.info("prisma migrate deploy completed")
+                        return False
 
-                        # Resolve all migrations in the migrations directory
-                        migrations_dir = os.path.join(prisma_dir, "migrations")
-                        PrismaManager._resolve_all_migrations(migrations_dir)
+                    prisma_dir = PrismaManager._get_prisma_dir()
+                    schema_path = prisma_dir + "/schema.prisma"
 
-                        return True
-                    except subprocess.CalledProcessError as e:
-                        verbose_proxy_logger.warning(
-                            f"prisma db error: {e.stderr}, e: {e.stdout}"
-                        )
-                        if (
-                            "P3005" in e.stderr
-                            and "database schema is not empty" in e.stderr
-                        ):
-                            verbose_proxy_logger.info("Creating baseline migration")
-                            if PrismaManager._create_baseline_migration(schema_path):
-                                verbose_proxy_logger.info(
-                                    "Resolving all migrations after baseline"
-                                )
-
-                                # Resolve all migrations after baseline
-                                migrations_dir = os.path.join(prisma_dir, "migrations")
-                                PrismaManager._resolve_all_migrations(migrations_dir)
-
-                                return True
+                    return ProxyExtrasDBManager.setup_database(
+                        schema_path=schema_path, use_migrate=use_migrate
+                    )
                 else:
                     # Use prisma db push with increased timeout
                     subprocess.run(
diff --git a/litellm/proxy/proxy_cli.py b/litellm/proxy/proxy_cli.py
index 8196eb597e..de78247daf 100644
--- a/litellm/proxy/proxy_cli.py
+++ b/litellm/proxy/proxy_cli.py
@@ -672,7 +672,7 @@ def run_server(  # noqa: PLR0915
                 LiteLLMDatabaseConnectionPool.database_connection_pool_limit.value,
             )
             db_connection_timeout = general_settings.get(
-                "database_connection_timeout",
+                "database_connection_pool_timeout",
                 LiteLLMDatabaseConnectionPool.database_connection_pool_timeout.value,
             )
             if database_url and database_url.startswith("os.environ/"):
diff --git a/poetry.lock b/poetry.lock
index d659d66952..157291f5f3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1676,6 +1676,17 @@ files = [
 importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 referencing = ">=0.31.0"
 
+[[package]]
+name = "litellm-proxy-extras"
+version = "0.1.1"
+description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
+optional = true
+python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+files = [
+    {file = "litellm_proxy_extras-0.1.1-py3-none-any.whl", hash = "sha256:2b3c4c5474bacbde2424c1cd13b21f85c65e9c4346f6159badd49a210eedef5c"},
+    {file = "litellm_proxy_extras-0.1.1.tar.gz", hash = "sha256:a1eb911ad2e3742238863d314a8bd6d02dd0cc213ba040b2c0593f132fbf3117"},
+]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -4119,9 +4130,9 @@ type = ["pytest-mypy"]
 
 [extras]
 extra-proxy = ["azure-identity", "azure-keyvault-secrets", "google-cloud-kms", "prisma", "redisvl", "resend"]
-proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi", "fastapi-sso", "gunicorn", "mcp", "orjson", "pynacl", "python-multipart", "pyyaml", "rq", "uvicorn", "uvloop", "websockets"]
+proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi", "fastapi-sso", "gunicorn", "litellm-proxy-extras", "mcp", "orjson", "pynacl", "python-multipart", "pyyaml", "rq", "uvicorn", "uvloop", "websockets"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "36792478ff4afec5c8e748caf9b2ae6bebf3dd223e78bea2626b6589ef3277e4"
+content-hash = "16cbf20784776377805f5e33c6bc97dce76303132aa3d81c7e6fe743f0ee3fc1"
diff --git a/pyproject.toml b/pyproject.toml
index 5eb4a71160..34564bd049 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,6 +55,7 @@ websockets = {version = "^13.1.0", optional = true}
 boto3 = {version = "1.34.34", optional = true}
 redisvl = {version = "^0.4.1", optional = true, markers = "python_version >= '3.9' and python_version < '3.14'"}
 mcp = {version = "1.5.0", optional = true, python = ">=3.10"}
+litellm-proxy-extras = {version = "0.1.1", optional = true}
 
 [tool.poetry.extras]
 proxy = [
@@ -74,7 +75,8 @@ proxy = [
     "pynacl",
     "websockets",
     "boto3",
-    "mcp"
+    "mcp",
+    "litellm-proxy-extras"
 ]
 
 extra_proxy = [
diff --git a/requirements.txt b/requirements.txt
index c28a2e5cf2..b3f0f1d073 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -38,6 +38,7 @@ sentry_sdk==2.21.0 # for sentry error handling
 detect-secrets==1.5.0 # Enterprise - secret detection / masking in LLM requests
 cryptography==43.0.1
 tzdata==2025.1 # IANA time zone database
+litellm-proxy-extras==0.1.1 # for proxy extras - e.g. prisma migrations
 
 ### LITELLM PACKAGE DEPENDENCIES
 python-dotenv==1.0.0 # for env 
diff --git a/tests/code_coverage_tests/liccheck.ini b/tests/code_coverage_tests/liccheck.ini
index efd7dffe1c..c5ecc898f2 100644
--- a/tests/code_coverage_tests/liccheck.ini
+++ b/tests/code_coverage_tests/liccheck.ini
@@ -85,4 +85,5 @@ anthropic: >=0.21.3 # MIT License
 detect-secrets: >=1.5.0 # MIT License
 importlib-metadata: >=6.8.0 # Apache 2.0 License
 tokenizers: >=0.20.2 # Apache 2.0 License
-jinja2: >=3.1.4 # BSD 3-Clause License
\ No newline at end of file
+jinja2: >=3.1.4 # BSD 3-Clause License
+litellm-proxy-extras: >=0.1.1 # MIT License
\ No newline at end of file
diff --git a/tests/proxy_unit_tests/test_db_schema_migration.py b/tests/proxy_unit_tests/test_db_schema_migration.py
index 089c50ebf8..b317818375 100644
--- a/tests/proxy_unit_tests/test_db_schema_migration.py
+++ b/tests/proxy_unit_tests/test_db_schema_migration.py
@@ -24,7 +24,7 @@ def test_aaaasschema_migration_check(schema_setup, monkeypatch):
     # test_db_url = "postgresql://neondb_owner:npg_JiZPS0DAhRn4@ep-delicate-wave-a55cvbuc.us-east-2.aws.neon.tech/neondb?sslmode=require"
     monkeypatch.setenv("DATABASE_URL", test_db_url)
 
-    deploy_dir = Path("./deploy")
+    deploy_dir = Path("./litellm-proxy-extras/litellm_proxy_extras")
     source_migrations_dir = deploy_dir / "migrations"
     schema_path = Path("./schema.prisma")
 

From 08a52f4389e8ffc445764f0569ee4373fe1252e8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 15:50:13 -0700
Subject: [PATCH 203/244] log MCP tool call metadata in SLP

---
 litellm/litellm_core_utils/litellm_logging.py |  5 +++
 .../proxy/_experimental/mcp_server/server.py  | 35 +++++++++++++++++++
 litellm/proxy/_types.py                       |  2 ++
 .../spend_tracking/spend_tracking_utils.py    | 10 +++++-
 litellm/types/utils.py                        | 28 +++++++++++++++
 5 files changed, 79 insertions(+), 1 deletion(-)

diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 8e83aea69a..8dcd732686 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -67,6 +67,7 @@ from litellm.types.utils import (
     StandardCallbackDynamicParams,
     StandardLoggingAdditionalHeaders,
     StandardLoggingHiddenParams,
+    StandardLoggingMCPToolCall,
     StandardLoggingMetadata,
     StandardLoggingModelCostFailureDebugInformation,
     StandardLoggingModelInformation,
@@ -3114,6 +3115,7 @@ class StandardLoggingPayloadSetup:
         litellm_params: Optional[dict] = None,
         prompt_integration: Optional[str] = None,
         applied_guardrails: Optional[List[str]] = None,
+        mcp_tool_call_metadata: Optional[StandardLoggingMCPToolCall] = None,
     ) -> StandardLoggingMetadata:
         """
         Clean and filter the metadata dictionary to include only the specified keys in StandardLoggingMetadata.
@@ -3160,6 +3162,7 @@ class StandardLoggingPayloadSetup:
             user_api_key_end_user_id=None,
             prompt_management_metadata=prompt_management_metadata,
             applied_guardrails=applied_guardrails,
+            mcp_tool_call_metadata=mcp_tool_call_metadata,
         )
         if isinstance(metadata, dict):
             # Filter the metadata dictionary to include only the specified keys
@@ -3486,6 +3489,7 @@ def get_standard_logging_object_payload(
             litellm_params=litellm_params,
             prompt_integration=kwargs.get("prompt_integration", None),
             applied_guardrails=kwargs.get("applied_guardrails", None),
+            mcp_tool_call_metadata=kwargs.get("mcp_tool_call_metadata", None),
         )
 
         _request_body = proxy_server_request.get("body", {})
@@ -3626,6 +3630,7 @@ def get_standard_logging_metadata(
         user_api_key_end_user_id=None,
         prompt_management_metadata=None,
         applied_guardrails=None,
+        mcp_tool_call_metadata=None,
     )
     if isinstance(metadata, dict):
         # Filter the metadata dictionary to include only the specified keys
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 32c33904a3..0a0ec13340 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -11,11 +11,13 @@ from fastapi.responses import StreamingResponse
 from pydantic import ValidationError
 
 from litellm._logging import verbose_logger
+from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.types.mcp_server.mcp_server_manager import (
     ListMCPToolsRestAPIResponseObject,
 )
+from litellm.types.utils import StandardLoggingMCPToolCall
 from litellm.utils import client
 
 # Check if MCP is available
@@ -124,6 +126,20 @@ if MCP_AVAILABLE:
                 status_code=400, detail="Request arguments are required"
             )
 
+        standard_logging_mcp_tool_call: StandardLoggingMCPToolCall = (
+            _get_standard_logging_mcp_tool_call(
+                name=name,
+                arguments=arguments,
+            )
+        )
+        litellm_logging_obj: Optional[LiteLLMLoggingObj] = kwargs.get(
+            "litellm_logging_obj", None
+        )
+        if litellm_logging_obj:
+            litellm_logging_obj.model_call_details["mcp_tool_call_metadata"] = (
+                standard_logging_mcp_tool_call
+            )
+
         # Try managed server tool first
         if name in global_mcp_server_manager.tool_name_to_mcp_server_name_mapping:
             return await _handle_managed_mcp_tool(name, arguments)
@@ -131,6 +147,25 @@ if MCP_AVAILABLE:
         # Fall back to local tool registry
         return await _handle_local_mcp_tool(name, arguments)
 
+    def _get_standard_logging_mcp_tool_call(
+        name: str,
+        arguments: Dict[str, Any],
+    ) -> StandardLoggingMCPToolCall:
+        mcp_server = global_mcp_server_manager._get_mcp_server_from_tool_name(name)
+        if mcp_server:
+            mcp_info = mcp_server.mcp_info or {}
+            return StandardLoggingMCPToolCall(
+                name=name,
+                arguments=arguments,
+                mcp_server_name=mcp_info.get("server_name"),
+                mcp_server_logo_url=mcp_info.get("logo_url"),
+            )
+        else:
+            return StandardLoggingMCPToolCall(
+                name=name,
+                arguments=arguments,
+            )
+
     async def _handle_managed_mcp_tool(
         name: str, arguments: Dict[str, Any]
     ) -> List[Union[MCPTextContent, MCPImageContent, MCPEmbeddedResource]]:
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index e7d6bec004..963d6762bf 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -27,6 +27,7 @@ from litellm.types.utils import (
     ModelResponse,
     ProviderField,
     StandardCallbackDynamicParams,
+    StandardLoggingMCPToolCall,
     StandardLoggingPayloadErrorInformation,
     StandardLoggingPayloadStatus,
     StandardPassThroughResponseObject,
@@ -1928,6 +1929,7 @@ class SpendLogsMetadata(TypedDict):
     ]  # special param to log k,v pairs to spendlogs for a call
     requester_ip_address: Optional[str]
     applied_guardrails: Optional[List[str]]
+    mcp_tool_call_metadata: Optional[StandardLoggingMCPToolCall]
     status: StandardLoggingPayloadStatus
     proxy_server_request: Optional[str]
     batch_models: Optional[List[str]]
diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py
index 6e9a088077..096c5191b1 100644
--- a/litellm/proxy/spend_tracking/spend_tracking_utils.py
+++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py
@@ -13,7 +13,7 @@ from litellm._logging import verbose_proxy_logger
 from litellm.litellm_core_utils.core_helpers import get_litellm_metadata_from_kwargs
 from litellm.proxy._types import SpendLogsMetadata, SpendLogsPayload
 from litellm.proxy.utils import PrismaClient, hash_token
-from litellm.types.utils import StandardLoggingPayload
+from litellm.types.utils import StandardLoggingMCPToolCall, StandardLoggingPayload
 from litellm.utils import get_end_user_id_for_cost_tracking
 
 
@@ -38,6 +38,7 @@ def _get_spend_logs_metadata(
     metadata: Optional[dict],
     applied_guardrails: Optional[List[str]] = None,
     batch_models: Optional[List[str]] = None,
+    mcp_tool_call_metadata: Optional[StandardLoggingMCPToolCall] = None,
 ) -> SpendLogsMetadata:
     if metadata is None:
         return SpendLogsMetadata(
@@ -55,6 +56,7 @@ def _get_spend_logs_metadata(
             error_information=None,
             proxy_server_request=None,
             batch_models=None,
+            mcp_tool_call_metadata=None,
         )
     verbose_proxy_logger.debug(
         "getting payload for SpendLogs, available keys in metadata: "
@@ -71,6 +73,7 @@ def _get_spend_logs_metadata(
     )
     clean_metadata["applied_guardrails"] = applied_guardrails
     clean_metadata["batch_models"] = batch_models
+    clean_metadata["mcp_tool_call_metadata"] = mcp_tool_call_metadata
     return clean_metadata
 
 
@@ -200,6 +203,11 @@ def get_logging_payload(  # noqa: PLR0915
             if standard_logging_payload is not None
             else None
         ),
+        mcp_tool_call_metadata=(
+            standard_logging_payload["metadata"].get("mcp_tool_call_metadata", None)
+            if standard_logging_payload is not None
+            else None
+        ),
     )
 
     special_usage_fields = ["completion_tokens", "prompt_tokens", "total_tokens"]
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index fe6330f8bd..33522abe06 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -1647,6 +1647,33 @@ class StandardLoggingUserAPIKeyMetadata(TypedDict):
     user_api_key_end_user_id: Optional[str]
 
 
+class StandardLoggingMCPToolCall(TypedDict, total=False):
+    name: str
+    """
+    Name of the tool to call
+    """
+    arguments: dict
+    """
+    Arguments to pass to the tool
+    """
+    result: dict
+    """
+    Result of the tool call
+    """
+
+    mcp_server_name: Optional[str]
+    """
+    Name of the MCP server that the tool call was made to
+    """
+
+    mcp_server_logo_url: Optional[str]
+    """
+    Optional logo URL of the MCP server that the tool call was made to
+
+    (this is to render the logo on the logs page on litellm ui)
+    """
+
+
 class StandardBuiltInToolsParams(TypedDict, total=False):
     """
     Standard built-in OpenAItools parameters
@@ -1677,6 +1704,7 @@ class StandardLoggingMetadata(StandardLoggingUserAPIKeyMetadata):
     requester_ip_address: Optional[str]
     requester_metadata: Optional[dict]
     prompt_management_metadata: Optional[StandardLoggingPromptManagementMetadata]
+    mcp_tool_call_metadata: Optional[StandardLoggingMCPToolCall]
     applied_guardrails: Optional[List[str]]
 
 

From fe6c033427402d0491760dfae633332e2b33b2a3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 16:01:34 -0700
Subject: [PATCH 204/244] render MCP tools on ui logs page

---
 litellm/constants.py                              |  1 +
 litellm/proxy/_experimental/mcp_server/server.py  |  7 +++++++
 .../src/components/view_logs/columns.tsx          | 15 ++++++++++++++-
 3 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index e224b3d33e..d5e0215ebf 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -418,6 +418,7 @@ RESPONSE_FORMAT_TOOL_NAME = "json_tool_call"  # default tool name used when conv
 
 ########################### Logging Callback Constants ###########################
 AZURE_STORAGE_MSFT_VERSION = "2019-07-07"
+MCP_TOOL_NAME_PREFIX = "mcp_tool"
 
 ########################### LiteLLM Proxy Specific Constants ###########################
 ########################################################################################
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 0a0ec13340..1469f523b4 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -11,6 +11,7 @@ from fastapi.responses import StreamingResponse
 from pydantic import ValidationError
 
 from litellm._logging import verbose_logger
+from litellm.constants import MCP_TOOL_NAME_PREFIX
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
@@ -139,6 +140,12 @@ if MCP_AVAILABLE:
             litellm_logging_obj.model_call_details["mcp_tool_call_metadata"] = (
                 standard_logging_mcp_tool_call
             )
+            litellm_logging_obj.model_call_details["model"] = (
+                f"{MCP_TOOL_NAME_PREFIX}: {standard_logging_mcp_tool_call.get('name') or ''}"
+            )
+            litellm_logging_obj.model_call_details["custom_llm_provider"] = (
+                standard_logging_mcp_tool_call.get("mcp_server_name")
+            )
 
         # Try managed server tool first
         if name in global_mcp_server_manager.tool_name_to_mcp_server_name_mapping:
diff --git a/ui/litellm-dashboard/src/components/view_logs/columns.tsx b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
index 98f5bfbc9d..2732fdaa77 100644
--- a/ui/litellm-dashboard/src/components/view_logs/columns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
@@ -8,6 +8,19 @@ import { Tooltip } from "antd";
 import { TimeCell } from "./time_cell";
 import { Button } from "@tremor/react";
 
+// Helper to get the appropriate logo URL
+const getLogoUrl = (
+  row: LogEntry,
+  provider: string
+) => {
+  // Check if mcp_tool_call_metadata exists and contains mcp_server_logo_url
+  if (row.metadata?.mcp_tool_call_metadata?.mcp_server_logo_url) {
+    return row.metadata.mcp_tool_call_metadata.mcp_server_logo_url;
+  }
+  // Fall back to default provider logo
+  return provider ? getProviderLogoAndName(provider).logo : '';
+};
+
 export type LogEntry = {
   request_id: string;
   api_key: string;
@@ -177,7 +190,7 @@ export const columns: ColumnDef<LogEntry>[] = [
         <div className="flex items-center space-x-2">
           {provider && (
             <img
-              src={getProviderLogoAndName(provider).logo}
+              src={getLogoUrl(row, provider)}
               alt=""
               className="w-4 h-4"
               onError={(e) => {

From 7dd54112cb57c143ab38ac9c5fe283c0362300e6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 16:23:58 -0700
Subject: [PATCH 205/244] fix showing list of MCP tools

---
 .../proxy/_experimental/mcp_server/server.py  | 22 +++++++++++--------
 1 file changed, 13 insertions(+), 9 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 1469f523b4..4cfed9a603 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -253,16 +253,20 @@ if MCP_AVAILABLE:
         """
         list_tools_result: List[ListMCPToolsRestAPIResponseObject] = []
         for server in global_mcp_server_manager.mcp_servers:
-            tools = await global_mcp_server_manager._get_tools_from_server(server)
-            for tool in tools:
-                list_tools_result.append(
-                    ListMCPToolsRestAPIResponseObject(
-                        name=tool.name,
-                        description=tool.description,
-                        inputSchema=tool.inputSchema,
-                        mcp_info=server.mcp_info,
+            try:
+                tools = await global_mcp_server_manager._get_tools_from_server(server)
+                for tool in tools:
+                    list_tools_result.append(
+                        ListMCPToolsRestAPIResponseObject(
+                            name=tool.name,
+                            description=tool.description,
+                            inputSchema=tool.inputSchema,
+                            mcp_info=server.mcp_info,
+                        )
                     )
-                )
+            except Exception as e:
+                verbose_logger.error(f"Error getting tools from {server.name}: {e}")
+                continue
         return list_tools_result
 
     @router.post("/tools/call", dependencies=[Depends(user_api_key_auth)])

From 815263f7bcab6fd8eb9bd36e6b4a5d02cfc7d5c3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 16:28:23 -0700
Subject: [PATCH 206/244] rename
 transform_openai_tool_call_request_to_mcp_tool_call_request

---
 litellm/experimental_mcp_client/tools.py            | 8 +++++---
 tests/litellm/experimental_mcp_client/test_tools.py | 6 +++---
 tests/pass_through_tests/test_mcp_routes.py         | 4 ++--
 3 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/litellm/experimental_mcp_client/tools.py b/litellm/experimental_mcp_client/tools.py
index f4ebbf4af4..592b0767fd 100644
--- a/litellm/experimental_mcp_client/tools.py
+++ b/litellm/experimental_mcp_client/tools.py
@@ -76,7 +76,7 @@ def _get_function_arguments(function: FunctionDefinition) -> dict:
     return arguments if isinstance(arguments, dict) else {}
 
 
-def _transform_openai_tool_call_to_mcp_tool_call_request(
+def transform_openai_tool_call_request_to_mcp_tool_call_request(
     openai_tool: ChatCompletionMessageToolCall,
 ) -> MCPCallToolRequestParams:
     """Convert an OpenAI ChatCompletionMessageToolCall to an MCP CallToolRequestParams."""
@@ -100,8 +100,10 @@ async def call_openai_tool(
     Returns:
         The result of the MCP tool call.
     """
-    mcp_tool_call_request_params = _transform_openai_tool_call_to_mcp_tool_call_request(
-        openai_tool=openai_tool,
+    mcp_tool_call_request_params = (
+        transform_openai_tool_call_request_to_mcp_tool_call_request(
+            openai_tool=openai_tool,
+        )
     )
     return await call_mcp_tool(
         session=session,
diff --git a/tests/litellm/experimental_mcp_client/test_tools.py b/tests/litellm/experimental_mcp_client/test_tools.py
index 7089d83217..ec430ecc9b 100644
--- a/tests/litellm/experimental_mcp_client/test_tools.py
+++ b/tests/litellm/experimental_mcp_client/test_tools.py
@@ -19,11 +19,11 @@ from mcp.types import Tool as MCPTool
 
 from litellm.experimental_mcp_client.tools import (
     _get_function_arguments,
-    _transform_openai_tool_call_to_mcp_tool_call_request,
     call_mcp_tool,
     call_openai_tool,
     load_mcp_tools,
     transform_mcp_tool_to_openai_tool,
+    transform_openai_tool_call_request_to_mcp_tool_call_request,
 )
 
 
@@ -76,11 +76,11 @@ def test_transform_mcp_tool_to_openai_tool(mock_mcp_tool):
     }
 
 
-def test_transform_openai_tool_call_to_mcp_tool_call_request(mock_mcp_tool):
+def testtransform_openai_tool_call_request_to_mcp_tool_call_request(mock_mcp_tool):
     openai_tool = {
         "function": {"name": "test_tool", "arguments": json.dumps({"test": "value"})}
     }
-    mcp_tool_call_request = _transform_openai_tool_call_to_mcp_tool_call_request(
+    mcp_tool_call_request = transform_openai_tool_call_request_to_mcp_tool_call_request(
         openai_tool
     )
     assert mcp_tool_call_request.name == "test_tool"
diff --git a/tests/pass_through_tests/test_mcp_routes.py b/tests/pass_through_tests/test_mcp_routes.py
index d496a430af..3435d53585 100644
--- a/tests/pass_through_tests/test_mcp_routes.py
+++ b/tests/pass_through_tests/test_mcp_routes.py
@@ -10,7 +10,7 @@ from mcp import ClientSession
 from mcp.client.sse import sse_client
 from litellm.experimental_mcp_client.tools import (
     transform_mcp_tool_to_openai_tool,
-    _transform_openai_tool_call_to_mcp_tool_call_request,
+    transform_openai_tool_call_request_to_mcp_tool_call_request,
 )
 import json
 
@@ -73,7 +73,7 @@ async def test_mcp_routes_with_vertex_ai():
 
             # Call the tool using MCP client
             mcp_tool_call_request = (
-                _transform_openai_tool_call_to_mcp_tool_call_request(
+                transform_openai_tool_call_request_to_mcp_tool_call_request(
                     openai_tool.model_dump()
                 )
             )

From 79e8bbbfd435284860b284719ea53c1debdf369a Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 16:48:15 -0700
Subject: [PATCH 207/244] fix types on tools.py

---
 litellm/experimental_mcp_client/tools.py    |   4 +-
 tests/pass_through_tests/test_mcp_routes.py | 101 ++++++++------------
 2 files changed, 40 insertions(+), 65 deletions(-)

diff --git a/litellm/experimental_mcp_client/tools.py b/litellm/experimental_mcp_client/tools.py
index 592b0767fd..cdc26af4b7 100644
--- a/litellm/experimental_mcp_client/tools.py
+++ b/litellm/experimental_mcp_client/tools.py
@@ -1,5 +1,5 @@
 import json
-from typing import List, Literal, Union
+from typing import Dict, List, Literal, Union
 
 from mcp import ClientSession
 from mcp.types import CallToolRequestParams as MCPCallToolRequestParams
@@ -77,7 +77,7 @@ def _get_function_arguments(function: FunctionDefinition) -> dict:
 
 
 def transform_openai_tool_call_request_to_mcp_tool_call_request(
-    openai_tool: ChatCompletionMessageToolCall,
+    openai_tool: Union[ChatCompletionMessageToolCall, Dict],
 ) -> MCPCallToolRequestParams:
     """Convert an OpenAI ChatCompletionMessageToolCall to an MCP CallToolRequestParams."""
     function = openai_tool["function"]
diff --git a/tests/pass_through_tests/test_mcp_routes.py b/tests/pass_through_tests/test_mcp_routes.py
index 3435d53585..f7f0a0d17f 100644
--- a/tests/pass_through_tests/test_mcp_routes.py
+++ b/tests/pass_through_tests/test_mcp_routes.py
@@ -1,85 +1,60 @@
-# Create server parameters for stdio connection
 import asyncio
-import os
-
-import pytest
-from langchain_mcp_adapters.tools import load_mcp_tools
-from langchain_openai import ChatOpenAI
-from langgraph.prebuilt import create_react_agent
+from openai import AsyncOpenAI
+from openai.types.chat import ChatCompletionUserMessageParam
 from mcp import ClientSession
 from mcp.client.sse import sse_client
 from litellm.experimental_mcp_client.tools import (
     transform_mcp_tool_to_openai_tool,
     transform_openai_tool_call_request_to_mcp_tool_call_request,
 )
-import json
 
 
-@pytest.mark.asyncio
-async def test_mcp_routes():
-    model = ChatOpenAI(
-        model="gpt-4o", api_key="sk-1234", base_url="http://localhost:4000"
-    )
+async def main():
+    # Initialize clients
+    client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
 
-    async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
-        async with ClientSession(read, write) as session:
-            # Initialize the connection
-            print("Initializing session")
-            await session.initialize()
-            print("Session initialized")
-
-            # Get tools
-            print("Loading tools")
-            tools = await load_mcp_tools(session)
-            print("Tools loaded")
-            print(tools)
-
-            # Create and run the agent
-            agent = create_react_agent(model, tools)
-            agent_response = await agent.ainvoke({"messages": "Send an "})
-            print(agent_response)
-
-
-@pytest.mark.asyncio
-async def test_mcp_routes_with_vertex_ai():
-    # Create and run the agent
-    from openai import AsyncOpenAI
-
-    openai_client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
-    async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
+    # Connect to MCP
+    async with sse_client("http://localhost:4000/mcp/") as (read, write):
         async with ClientSession(read, write) as session:
             await session.initialize()
-            MCP_TOOLS = await session.list_tools()
+            mcp_tools = await session.list_tools()
+            print("List of MCP tools for MCP server:", mcp_tools.tools)
 
-            print("MCP TOOLS from litellm proxy: ", MCP_TOOLS)
+            # Create message
             messages = [
-                {
-                    "role": "user",
-                    "content": "send an email about litellm supporting MCP and send it to krrish@berri.ai",
-                }
+                ChatCompletionUserMessageParam(
+                    content="Send an email about LiteLLM supporting MCP", role="user"
+                )
             ]
-            llm_response = await openai_client.chat.completions.create(
+
+            # Request with tools
+            response = await client.chat.completions.create(
                 model="gpt-4o",
                 messages=messages,
                 tools=[
-                    transform_mcp_tool_to_openai_tool(tool) for tool in MCP_TOOLS.tools
+                    transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools
                 ],
-                tool_choice="required",
+                tool_choice="auto",
             )
-            print("LLM RESPONSE: ", json.dumps(llm_response, indent=4, default=str))
 
-            # Add assertions to verify the response
-            openai_tool = llm_response.choices[0].message.tool_calls[0]
+            # Handle tool call
+            if response.choices[0].message.tool_calls:
+                tool_call = response.choices[0].message.tool_calls[0]
+                if tool_call:
+                    # Convert format
+                    mcp_call = (
+                        transform_openai_tool_call_request_to_mcp_tool_call_request(
+                            openai_tool=tool_call.model_dump()
+                        )
+                    )
 
-            # Call the tool using MCP client
-            mcp_tool_call_request = (
-                transform_openai_tool_call_request_to_mcp_tool_call_request(
-                    openai_tool.model_dump()
-                )
-            )
-            call_result = await session.call_tool(
-                name=mcp_tool_call_request.name,
-                arguments=mcp_tool_call_request.arguments,
-            )
-            print("CALL RESULT: ", call_result)
-    pass
+                    # Execute tool
+                    result = await session.call_tool(
+                        name=mcp_call.name, arguments=mcp_call.arguments
+                    )
+
+                    print("Result:", result)
+
+
+# Run it
+asyncio.run(main())

From f2885bfb65c5b8c86071579df32d94002a0bc2e9 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 16:48:38 -0700
Subject: [PATCH 208/244] add code example

---
 .../src/components/mcp_tools/code-example.tsx | 92 +++++++++++++++++++
 1 file changed, 92 insertions(+)
 create mode 100644 ui/litellm-dashboard/src/components/mcp_tools/code-example.tsx

diff --git a/ui/litellm-dashboard/src/components/mcp_tools/code-example.tsx b/ui/litellm-dashboard/src/components/mcp_tools/code-example.tsx
new file mode 100644
index 0000000000..5e0b170530
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/mcp_tools/code-example.tsx
@@ -0,0 +1,92 @@
+import React from 'react';
+
+const codeString = `import asyncio
+from openai import AsyncOpenAI
+from openai.types.chat import ChatCompletionUserMessageParam
+from mcp import ClientSession
+from mcp.client.sse import sse_client
+from litellm.experimental_mcp_client.tools import (
+    transform_mcp_tool_to_openai_tool,
+    transform_openai_tool_call_request_to_mcp_tool_call_request,
+)
+
+async def main():
+    # Initialize clients
+    client = AsyncOpenAI(
+        api_key="sk-1234", 
+        base_url="http://localhost:4000"
+    )
+    
+    # Connect to MCP
+    async with sse_client("http://localhost:4000/mcp/") as (read, write):
+        async with ClientSession(read, write) as session:
+            await session.initialize()
+            mcp_tools = await session.list_tools()
+            print("List of MCP tools for MCP server:", mcp_tools.tools)
+            
+            # Create message
+            messages = [
+                ChatCompletionUserMessageParam(
+                    content="Send an email about LiteLLM supporting MCP",
+                    role="user"
+                )
+            ]
+            
+            # Request with tools
+            response = await client.chat.completions.create(
+                model="gpt-4o",
+                messages=messages,
+                tools=[transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools],
+                tool_choice="auto"
+            )
+            
+            # Handle tool call
+            if response.choices[0].message.tool_calls:
+                tool_call = response.choices[0].message.tool_calls[0]
+                if tool_call:
+                    # Convert format
+                    mcp_call = transform_openai_tool_call_request_to_mcp_tool_call_request(
+                        openai_tool=tool_call.model_dump()
+                    )
+                    
+                    # Execute tool
+                    result = await session.call_tool(
+                        name=mcp_call.name,
+                        arguments=mcp_call.arguments
+                    )
+                    
+                    print("Result:", result)
+
+# Run it
+asyncio.run(main())`;
+
+export const CodeExample: React.FC = () => {
+  return (
+    <div className="bg-white rounded-lg shadow h-full">
+      <div className="border-b px-4 py-3">
+        <h3 className="text-base font-medium text-gray-900">Using MCP Tools</h3>
+      </div>
+      <div className="p-4">
+        <div className="flex items-center gap-2 mb-2">
+          <div className="flex-1">
+            <div className="text-sm font-medium text-gray-700">Python integration</div>
+          </div>
+          <button 
+            className="text-xs bg-gray-100 hover:bg-gray-200 text-gray-600 px-2 py-1 rounded-md transition-colors"
+            onClick={() => {
+              navigator.clipboard.writeText(codeString);
+            }}
+          >
+            Copy
+          </button>
+        </div>
+        
+        <div className="overflow-auto rounded-md bg-gray-50 border" style={{ maxHeight: "calc(100vh - 280px)" }}>
+          <pre className="p-3 text-xs font-mono text-gray-800 whitespace-pre overflow-x-auto">
+            {codeString}
+          </pre>
+        </div>
+      </div>
+    </div>
+  );
+}; 
\ No newline at end of file

From 09e073d57b0965cb01578afa0f54fe281b67a624 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:04:32 -0700
Subject: [PATCH 209/244] ui mcp tools

---
 .../src/components/mcp_tools/columns.tsx      | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx b/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
index 5e347a7e1e..b99ecbd9f0 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/columns.tsx
@@ -1,6 +1,7 @@
 import React from "react";
 import { ColumnDef } from "@tanstack/react-table";
 import { MCPTool, InputSchema } from "./types";
+import { Button } from "@tremor/react"
 
 export const columns: ColumnDef<MCPTool>[] = [
   {
@@ -56,16 +57,18 @@ export const columns: ColumnDef<MCPTool>[] = [
       
       return (
         <div className="flex items-center space-x-2">
-          <button
+          <Button 
+            size="xs"
+            variant="light"
+            className="font-mono text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs font-normal px-2 py-0.5 text-left overflow-hidden truncate max-w-[200px]"
             onClick={() => {
-              if (typeof row.original.onToolSelect === 'function') {
+            if (typeof row.original.onToolSelect === 'function') {
                 row.original.onToolSelect(tool);
-              }
+            }
             }}
-            className="px-3 py-1 text-xs rounded-md bg-blue-600 text-white hover:bg-blue-700"
           >
             Test Tool
-          </button>
+          </Button>
         </div>
       );
     },
@@ -220,13 +223,13 @@ export function ToolTestPanel({
             )}
             
             <div className="mt-6">
-              <button
+              <Button
                 type="submit"
                 disabled={isLoading}
-                className="w-full px-4 py-2 border border-transparent rounded-md shadow-sm text-sm font-medium text-white bg-blue-600 hover:bg-blue-700 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-blue-500 disabled:opacity-50"
+                className="w-full px-4 py-2 border border-transparent rounded-md shadow-sm text-sm font-medium text-white"
               >
                 {isLoading ? "Calling..." : "Call Tool"}
-              </button>
+              </Button>
             </div>
           </form>
         </div>

From 047d767947f8341349e40bafb836a5dd01d827cc Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:06:36 -0700
Subject: [PATCH 210/244] fix tests for gcs pub sub

---
 .../gcs_pub_sub_body/spend_logs_payload.json                   | 2 +-
 .../gcs_pub_sub_body/standard_logging_payload.json             | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json b/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
index a4c0f3f58b..656cb6d589 100644
--- a/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
+++ b/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
@@ -9,7 +9,7 @@
     "model": "gpt-4o",
     "user": "",
     "team_id": "",
-    "metadata": "{\"applied_guardrails\": [], \"batch_models\": null, \"additional_usage_values\": {\"completion_tokens_details\": null, \"prompt_tokens_details\": null}}",
+    "metadata": "{\"applied_guardrails\": [], \"batch_models\": null, \"mcp_tool_call_metadata\": null, \"additional_usage_values\": {\"completion_tokens_details\": null, \"prompt_tokens_details\": null}}",
     "cache_key": "Cache OFF",
     "spend": 0.00022500000000000002,
     "total_tokens": 30,
diff --git a/tests/logging_callback_tests/gcs_pub_sub_body/standard_logging_payload.json b/tests/logging_callback_tests/gcs_pub_sub_body/standard_logging_payload.json
index eb57387120..1dc72b704f 100644
--- a/tests/logging_callback_tests/gcs_pub_sub_body/standard_logging_payload.json
+++ b/tests/logging_callback_tests/gcs_pub_sub_body/standard_logging_payload.json
@@ -25,7 +25,8 @@
       "requester_metadata": null,
       "user_api_key_end_user_id": null,
       "prompt_management_metadata": null,
-      "applied_guardrails": []
+      "applied_guardrails": [],
+      "mcp_tool_call_metadata": null
     },
     "cache_key": null,
     "response_cost": 0.00022500000000000002,

From 3e378f2bec91d19eff14218094725aa4ec26bda2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:07:36 -0700
Subject: [PATCH 211/244]     async def test_spend_logs_payload_e2e(self):

---
 .../proxy/spend_tracking/test_spend_management_endpoints.py     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index c1e94138a3..57706c94f7 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -457,7 +457,7 @@ class TestSpendLogsPayload:
                     "model": "gpt-4o",
                     "user": "",
                     "team_id": "",
-                    "metadata": '{"applied_guardrails": [], "batch_models": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": null}}',
+                    "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": null}}',
                     "cache_key": "Cache OFF",
                     "spend": 0.00022500000000000002,
                     "total_tokens": 30,

From 4e106ce21717d90be23a0c0359edaa8a42475faa Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:11:46 -0700
Subject: [PATCH 212/244] fix test

---
 tests/mcp_tests/test_mcp_server.py | 21 +++++++++------------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/tests/mcp_tests/test_mcp_server.py b/tests/mcp_tests/test_mcp_server.py
index 17abd1d6a5..cf64d16029 100644
--- a/tests/mcp_tests/test_mcp_server.py
+++ b/tests/mcp_tests/test_mcp_server.py
@@ -7,21 +7,24 @@ sys.path.insert(
     0, os.path.abspath("../../..")
 )  # Adds the parent directory to the system path
 
-from litellm.proxy._experimental.mcp_server.mcp_client_manager import (
+from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
     MCPServerManager,
     MCPSSEServer,
 )
 
 
-MCP_SERVERS = [
-    MCPSSEServer(name="zapier_mcp_server", url=os.environ.get("ZAPIER_MCP_SERVER_URL")),
-]
-
-mcp_server_manager = MCPServerManager(mcp_servers=MCP_SERVERS)
+mcp_server_manager = MCPServerManager()
 
 
 @pytest.mark.asyncio
 async def test_mcp_server_manager():
+    mcp_server_manager.load_servers_from_config(
+        {
+            "zapier_mcp_server": {
+                "url": os.environ.get("ZAPIER_MCP_SERVER_URL"),
+            }
+        }
+    )
     tools = await mcp_server_manager.list_tools()
     print("TOOLS FROM MCP SERVER MANAGER== ", tools)
 
@@ -29,9 +32,3 @@ async def test_mcp_server_manager():
         name="gmail_send_email", arguments={"body": "Test"}
     )
     print("RESULT FROM CALLING TOOL FROM MCP SERVER MANAGER== ", result)
-
-
-"""
-TODO test with multiple MCP servers and calling a specific 
-
-"""

From a3df0269bb03aa839c98afaee5878a69209f1dd5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:38:24 -0700
Subject: [PATCH 213/244] fix tests

---
 .../proxy/spend_tracking/test_spend_management_endpoints.py     | 2 +-
 tests/logging_callback_tests/test_otel_logging.py               | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index 57706c94f7..9ced59e4dc 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -555,7 +555,7 @@ class TestSpendLogsPayload:
                     "model": "claude-3-7-sonnet-20250219",
                     "user": "",
                     "team_id": "",
-                    "metadata": '{"applied_guardrails": [], "batch_models": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}',
+                    "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}',
                     "cache_key": "Cache OFF",
                     "spend": 0.01383,
                     "total_tokens": 2598,
diff --git a/tests/logging_callback_tests/test_otel_logging.py b/tests/logging_callback_tests/test_otel_logging.py
index aeec20be23..2e102ec46c 100644
--- a/tests/logging_callback_tests/test_otel_logging.py
+++ b/tests/logging_callback_tests/test_otel_logging.py
@@ -274,6 +274,7 @@ def validate_redacted_message_span_attributes(span):
         "metadata.user_api_key_end_user_id",
         "metadata.user_api_key_user_email",
         "metadata.applied_guardrails",
+        "metadata.mcp_tool_call_metadata",
     ]
 
     _all_attributes = set(

From abf06013ec574008e640a1e33d18f1445f9d1b06 Mon Sep 17 00:00:00 2001
From: Tan Yong Sheng <64836390+tan-yong-sheng@users.noreply.github.com>
Date: Sun, 30 Mar 2025 08:40:27 +0800
Subject: [PATCH 214/244] update docs for openwebui (#9636)

---
 docs/my-website/docs/tutorials/openweb_ui.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/docs/my-website/docs/tutorials/openweb_ui.md b/docs/my-website/docs/tutorials/openweb_ui.md
index ab1e2e121e..b2c1204069 100644
--- a/docs/my-website/docs/tutorials/openweb_ui.md
+++ b/docs/my-website/docs/tutorials/openweb_ui.md
@@ -98,6 +98,5 @@ On the models dropdown select `thinking-anthropic-claude-3-7-sonnet`
 
 <Image img={require('../../img/litellm_thinking_openweb.gif')} />
 
-
-
-
+## Additional Resources
+- Running LiteLLM and OpenWebUI on Windows Localhost: A Comprehensive Guide [https://www.tanyongsheng.com/note/running-litellm-and-openwebui-on-windows-localhost-a-comprehensive-guide/](https://www.tanyongsheng.com/note/running-litellm-and-openwebui-on-windows-localhost-a-comprehensive-guide/)
\ No newline at end of file

From 0e321eed1a8ab697d7dc0363a32f8886b6a05c34 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:44:32 -0700
Subject: [PATCH 215/244] fix import errors without mcp

---
 .../mcp_server/mcp_server_manager.py          | 24 +++++++++++--------
 .../types/mcp_server/mcp_server_manager.py    | 13 ++++++----
 2 files changed, 23 insertions(+), 14 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index c73eabd629..9eb44f5597 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -8,11 +8,17 @@ This is a Proxy
 
 import asyncio
 import json
-from typing import Any, Dict, List, Optional
+from typing import TYPE_CHECKING, Any, Dict, List, Optional
 
-from mcp import ClientSession
-from mcp.client.sse import sse_client
-from mcp.types import Tool as MCPTool
+if TYPE_CHECKING:
+    from mcp import ClientSession
+    from mcp.client.sse import sse_client
+    from mcp.types import Tool as MCPTool
+else:
+    # Provide fallback types for runtime incase `mcp` is not installed
+    ClientSession = None
+    MCPTool = object
+    sse_client = None
 
 from litellm._logging import verbose_logger
 from litellm.types.mcp_server.mcp_server_manager import MCPInfo, MCPSSEServer
@@ -93,10 +99,9 @@ class MCPServerManager:
 
         async with sse_client(url=server.url) as (read, write):
             async with ClientSession(read, write) as session:
-                server.client_session = session
-                await server.client_session.initialize()
+                await session.initialize()
 
-                tools_result = await server.client_session.list_tools()
+                tools_result = await session.list_tools()
                 verbose_logger.debug(f"Tools from {server.name}: {tools_result}")
 
                 # Update tool to server mapping
@@ -137,9 +142,8 @@ class MCPServerManager:
             raise ValueError(f"Tool {name} not found")
         async with sse_client(url=mcp_server.url) as (read, write):
             async with ClientSession(read, write) as session:
-                mcp_server.client_session = session
-                await mcp_server.client_session.initialize()
-                return await mcp_server.client_session.call_tool(name, arguments)
+                await session.initialize()
+                return await session.call_tool(name, arguments)
 
     def _get_mcp_server_from_tool_name(self, tool_name: str) -> Optional[MCPSSEServer]:
         """
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
index 981926df3c..9752423e7e 100644
--- a/litellm/types/mcp_server/mcp_server_manager.py
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -1,10 +1,16 @@
-from typing import Any, Dict, List, Optional
+from typing import TYPE_CHECKING, Optional
 
-from mcp import ClientSession
-from mcp.types import Tool as MCPTool
 from pydantic import BaseModel, ConfigDict
 from typing_extensions import TypedDict
 
+if TYPE_CHECKING:
+    from mcp import ClientSession
+    from mcp.types import Tool as MCPTool
+else:
+    # Provide fallback types for runtime incase `mcp` is not installed
+    ClientSession = None
+    MCPTool = object
+
 
 class MCPInfo(TypedDict, total=False):
     server_name: str
@@ -14,7 +20,6 @@ class MCPInfo(TypedDict, total=False):
 class MCPSSEServer(BaseModel):
     name: str
     url: str
-    client_session: Optional[ClientSession] = None
     mcp_info: Optional[MCPInfo] = None
     model_config = ConfigDict(arbitrary_types_allowed=True)
 

From eb4b8d9e7dc2db5509edcc18a49be345f29565e3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:50:19 -0700
Subject: [PATCH 216/244] fix linting on DataTableWrapper

---
 .../src/components/mcp_tools/index.tsx        | 31 +++++++++++++++++--
 1 file changed, 28 insertions(+), 3 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/mcp_tools/index.tsx b/ui/litellm-dashboard/src/components/mcp_tools/index.tsx
index 9018752705..ae3d4fac62 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/index.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/index.tsx
@@ -5,6 +5,31 @@ import { columns, ToolTestPanel } from './columns';
 import { MCPTool, MCPToolsViewerProps, CallMCPToolResponse } from './types';
 import { listMCPTools, callMCPTool } from '../networking';
 
+// Wrapper to handle the type mismatch between MCPTool and DataTable's expected type
+function DataTableWrapper({
+  columns,
+  data,
+  isLoading,
+}: {
+  columns: any;
+  data: MCPTool[];
+  isLoading: boolean;
+}) {
+  // Create a dummy renderSubComponent and getRowCanExpand function
+  const renderSubComponent = () => <div />;
+  const getRowCanExpand = () => false;
+
+  return (
+    <DataTable
+      columns={columns as any}
+      data={data as any}
+      isLoading={isLoading}
+      renderSubComponent={renderSubComponent}
+      getRowCanExpand={getRowCanExpand}
+    />
+  );
+}
+
 export default function MCPToolsViewer({
   accessToken,
   userRole,
@@ -49,7 +74,7 @@ export default function MCPToolsViewer({
   const toolsData = React.useMemo(() => {
     if (!mcpTools) return [];
     
-    return mcpTools.map(tool => ({
+    return mcpTools.map((tool: MCPTool) => ({
       ...tool,
       onToolSelect: (tool: MCPTool) => {
         setSelectedTool(tool);
@@ -61,7 +86,7 @@ export default function MCPToolsViewer({
 
   // Filter tools based on search term
   const filteredTools = React.useMemo(() => {
-    return toolsData.filter(tool => {
+    return toolsData.filter((tool: MCPTool) => {
       const searchLower = searchTerm.toLowerCase();
       return (
         tool.name.toLowerCase().includes(searchLower) ||
@@ -122,7 +147,7 @@ export default function MCPToolsViewer({
           </div>
         </div>
 
-        <DataTable
+        <DataTableWrapper
           columns={columns}
           data={filteredTools}
           isLoading={isLoadingTools}

From c24470ee720dd1fdead306eda1f8cfd0e8dd0b66 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 17:55:37 -0700
Subject: [PATCH 217/244] list_tool_rest_api

---
 litellm/proxy/_experimental/mcp_server/server.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 4cfed9a603..510bd6ab3b 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -224,7 +224,7 @@ if MCP_AVAILABLE:
     ############ MCP Server REST API Routes #################
     ########################################################
     @router.get("/tools/list", dependencies=[Depends(user_api_key_auth)])
-    async def list_tool_rest_api() -> List[ListMCPToolsRestAPIResponseObject]:
+    async def list_tool_rest_api():
         """
         List all available tools with information about the server they belong to.
 

From 8ea6caeff0081549e3d479e22cb0c1ffe8a857e0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:06:36 -0700
Subject: [PATCH 218/244] docs fix release notes

---
 .../release_notes/v1.65.0-stable/index.md     | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 docs/my-website/release_notes/v1.65.0-stable/index.md

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
new file mode 100644
index 0000000000..5556afd0ad
--- /dev/null
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -0,0 +1,75 @@
+---
+title: v1.65.0-stable - Model Context Protocol (MCP)
+slug: v1.65.0-stable
+date: 2025-03-30T10:00:00
+authors:
+  - name: Krrish Dholakia
+    title: CEO, LiteLLM
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1743638400&v=beta&t=39KOXMUFedvukiWWVPHf3qI45fuQD7lNglICwN31DrI
+  - name: Ishaan Jaffer
+    title: CTO, LiteLLM
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+tags: [mcp]
+hide_table_of_contents: false
+---
+
+LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
+
+## New Models / Updated Models
+- Support for Vertex AI gemini-2.0-flash-lite & Google AI Studio gemini-2.0-flash-lite [PR](https://github.com/BerriAI/litellm/pull/9523)
+- Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)
+- Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
+- OpenAI gpt-4o-transcribe support [PR](https://github.com/BerriAI/litellm/pull/9517)
+- Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
+- Updated model prices and context windows [PR](https://github.com/BerriAI/litellm/pull/9459)
+
+## LLM Translation
+- OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
+- Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518) 
+- Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
+- Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
+- Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
+
+## Spend Tracking Improvements
+- Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
+- Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
+- Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
+- Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
+- Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
+
+## UI
+- Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
+- Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
+- Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
+- Enabled viewing all wildcard models on /model/info [PR](https://github.com/BerriAI/litellm/pull/9473)
+- Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
+
+## Logging Integrations
+- Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
+
+## Performance / Reliability Improvements
+- LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
+- Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
+- Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
+- Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
+- Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
+
+## General Improvements
+- Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
+- Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
+- Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
+- Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
+- Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
+
+## Documentation
+- Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
+- Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
+
+## Security
+- Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)
+
+
+
+

From cb83584c0eacdb20c3620903516e6fcdf9f0f1cd Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:09:54 -0700
Subject: [PATCH 219/244] add Complete Git Diff

---
 docs/my-website/release_notes/v1.65.0-stable/index.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 5556afd0ad..97aea832d2 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -72,4 +72,6 @@ LiteLLM v1.65.0 introduces significant enhancements including Model Context Prot
 
 
 
+## Complete Git Diff
 
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)

From 22f9a93e254b72266fd7b9512f09380ae7ff8764 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:21:42 -0700
Subject: [PATCH 220/244] docs stable release notes

---
 .../release_notes/v1.65.0-stable/index.md     | 30 ++++++++++++-------
 1 file changed, 19 insertions(+), 11 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 97aea832d2..0a1610f788 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -17,7 +17,17 @@ hide_table_of_contents: false
 
 LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
 
-## New Models / Updated Models
+## Model Context Protocol (MCP)
+
+This release introduces support for centrally adding MCP servers on LiteLLM. This allows you to add MCP endpoints and your developers can `list` and `call` MCP tools through LiteLLM.
+
+## Custom Prompt Management
+
+This release allows you to connect LiteLLM to any prompt management service through our custom prompt management hooks. As proxy admin all you need to do is implement a `get_chat_completion_prompt` hook which accepts a prompt_id and prompt_variables and returns a formatted prompt.
+
+
+## Categorized Improvements and Fixes
+### New Models / Updated Models
 - Support for Vertex AI gemini-2.0-flash-lite & Google AI Studio gemini-2.0-flash-lite [PR](https://github.com/BerriAI/litellm/pull/9523)
 - Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)
 - Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
@@ -25,53 +35,51 @@ LiteLLM v1.65.0 introduces significant enhancements including Model Context Prot
 - Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
 - Updated model prices and context windows [PR](https://github.com/BerriAI/litellm/pull/9459)
 
-## LLM Translation
+### LLM Translation
 - OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
 - Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518) 
 - Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
 - Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
 - Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
 
-## Spend Tracking Improvements
+### Spend Tracking Improvements
 - Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
 - Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
 - Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
 - Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
 - Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
 
-## UI
+### UI
 - Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
 - Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
 - Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
 - Enabled viewing all wildcard models on /model/info [PR](https://github.com/BerriAI/litellm/pull/9473)
 - Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
 
-## Logging Integrations
+### Logging Integrations
 - Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
 
-## Performance / Reliability Improvements
+### Performance / Reliability Improvements
 - LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
 - Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
 - Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
 - Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
 - Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
 
-## General Improvements
+### General Improvements
 - Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
 - Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
 - Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
 - Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
 - Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
 
-## Documentation
+### Documentation
 - Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
 - Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
 
-## Security
+### Security
 - Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)
 
-
-
 ## Complete Git Diff
 
 [Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)

From 385e8bff4cc4b43384bb81a7c41881d90f91621d Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:32:06 -0700
Subject: [PATCH 221/244] fix order of imports

---
 .../_experimental/mcp_server/mcp_server_manager.py | 14 ++++----------
 litellm/proxy/_experimental/mcp_server/server.py   |  2 +-
 litellm/proxy/proxy_server.py                      |  7 ++++---
 3 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index 9eb44f5597..df9ae0ea57 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -8,17 +8,11 @@ This is a Proxy
 
 import asyncio
 import json
-from typing import TYPE_CHECKING, Any, Dict, List, Optional
+from typing import Any, Dict, List, Optional
 
-if TYPE_CHECKING:
-    from mcp import ClientSession
-    from mcp.client.sse import sse_client
-    from mcp.types import Tool as MCPTool
-else:
-    # Provide fallback types for runtime incase `mcp` is not installed
-    ClientSession = None
-    MCPTool = object
-    sse_client = None
+from mcp import ClientSession
+from mcp.client.sse import sse_client
+from mcp.types import Tool as MCPTool
 
 from litellm._logging import verbose_logger
 from litellm.types.mcp_server.mcp_server_manager import MCPInfo, MCPSSEServer
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 510bd6ab3b..603370711f 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -265,7 +265,7 @@ if MCP_AVAILABLE:
                         )
                     )
             except Exception as e:
-                verbose_logger.error(f"Error getting tools from {server.name}: {e}")
+                verbose_logger.exception(f"Error getting tools from {server.name}: {e}")
                 continue
         return list_tools_result
 
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 1a469d2c27..99d665d94c 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -127,9 +127,6 @@ from litellm.litellm_core_utils.core_helpers import (
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
-from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
-    global_mcp_server_manager,
-)
 from litellm.proxy._experimental.mcp_server.server import router as mcp_router
 from litellm.proxy._experimental.mcp_server.tool_registry import (
     global_mcp_tool_registry,
@@ -1966,6 +1963,10 @@ class ProxyConfig:
 
         mcp_servers_config = config.get("mcp_servers", None)
         if mcp_servers_config:
+            from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
+                global_mcp_server_manager,
+            )
+
             global_mcp_server_manager.load_servers_from_config(mcp_servers_config)
 
         ## CREDENTIALS

From 194327bb7cf9f4a5c77b1f324a0a1f1d1522f590 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:34:58 -0700
Subject: [PATCH 222/244] test fixes

---
 .../proxy/spend_tracking/test_spend_management_endpoints.py     | 2 +-
 tests/mcp_tests/test_mcp_server.py                              | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
index 9ced59e4dc..78da1b5dda 100644
--- a/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
+++ b/tests/litellm/proxy/spend_tracking/test_spend_management_endpoints.py
@@ -651,7 +651,7 @@ class TestSpendLogsPayload:
                     "model": "claude-3-7-sonnet-20250219",
                     "user": "",
                     "team_id": "",
-                    "metadata": '{"applied_guardrails": [], "batch_models": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}',
+                    "metadata": '{"applied_guardrails": [], "batch_models": null, "mcp_tool_call_metadata": null, "additional_usage_values": {"completion_tokens_details": null, "prompt_tokens_details": {"audio_tokens": null, "cached_tokens": 0, "text_tokens": null, "image_tokens": null}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}}',
                     "cache_key": "Cache OFF",
                     "spend": 0.01383,
                     "total_tokens": 2598,
diff --git a/tests/mcp_tests/test_mcp_server.py b/tests/mcp_tests/test_mcp_server.py
index cf64d16029..2cf9193871 100644
--- a/tests/mcp_tests/test_mcp_server.py
+++ b/tests/mcp_tests/test_mcp_server.py
@@ -17,6 +17,7 @@ mcp_server_manager = MCPServerManager()
 
 
 @pytest.mark.asyncio
+@pytest.mark.skip(reason="Local only test")
 async def test_mcp_server_manager():
     mcp_server_manager.load_servers_from_config(
         {

From 3919e242561660b83b80c54d3f8074a7fa8052e1 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:36:13 -0700
Subject: [PATCH 223/244] test fix

---
 tests/pass_through_tests/test_mcp_routes.py | 69 +++++++--------------
 1 file changed, 22 insertions(+), 47 deletions(-)

diff --git a/tests/pass_through_tests/test_mcp_routes.py b/tests/pass_through_tests/test_mcp_routes.py
index f7f0a0d17f..687efe6195 100644
--- a/tests/pass_through_tests/test_mcp_routes.py
+++ b/tests/pass_through_tests/test_mcp_routes.py
@@ -1,60 +1,35 @@
+# Create server parameters for stdio connection
 import asyncio
-from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletionUserMessageParam
+import os
+
+from langchain_mcp_adapters.tools import load_mcp_tools
+from langchain_openai import ChatOpenAI
+from langgraph.prebuilt import create_react_agent
 from mcp import ClientSession
 from mcp.client.sse import sse_client
-from litellm.experimental_mcp_client.tools import (
-    transform_mcp_tool_to_openai_tool,
-    transform_openai_tool_call_request_to_mcp_tool_call_request,
-)
 
 
 async def main():
-    # Initialize clients
-    client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
+    model = ChatOpenAI(model="gpt-4o", api_key="sk-12")
 
-    # Connect to MCP
-    async with sse_client("http://localhost:4000/mcp/") as (read, write):
+    async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
         async with ClientSession(read, write) as session:
+            # Initialize the connection
+            print("Initializing session")
             await session.initialize()
-            mcp_tools = await session.list_tools()
-            print("List of MCP tools for MCP server:", mcp_tools.tools)
+            print("Session initialized")
 
-            # Create message
-            messages = [
-                ChatCompletionUserMessageParam(
-                    content="Send an email about LiteLLM supporting MCP", role="user"
-                )
-            ]
+            # Get tools
+            print("Loading tools")
+            tools = await load_mcp_tools(session)
+            print("Tools loaded")
+            print(tools)
 
-            # Request with tools
-            response = await client.chat.completions.create(
-                model="gpt-4o",
-                messages=messages,
-                tools=[
-                    transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools
-                ],
-                tool_choice="auto",
-            )
-
-            # Handle tool call
-            if response.choices[0].message.tool_calls:
-                tool_call = response.choices[0].message.tool_calls[0]
-                if tool_call:
-                    # Convert format
-                    mcp_call = (
-                        transform_openai_tool_call_request_to_mcp_tool_call_request(
-                            openai_tool=tool_call.model_dump()
-                        )
-                    )
-
-                    # Execute tool
-                    result = await session.call_tool(
-                        name=mcp_call.name, arguments=mcp_call.arguments
-                    )
-
-                    print("Result:", result)
+            # # Create and run the agent
+            # agent = create_react_agent(model, tools)
+            # agent_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
 
 
-# Run it
-asyncio.run(main())
+# Run the async function
+if __name__ == "__main__":
+    asyncio.run(main())

From 10486dd17ebed082cf8833f451b3341b2c25f1be Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 18:40:58 -0700
Subject: [PATCH 224/244] fix listing mcp tools

---
 .../proxy/_experimental/mcp_server/server.py  | 21 ++++++++++++++-----
 .../types/mcp_server/mcp_server_manager.py    | 17 ---------------
 2 files changed, 16 insertions(+), 22 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 603370711f..fe1eccb048 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -8,16 +8,14 @@ from typing import Any, Dict, List, Optional, Union
 from anyio import BrokenResourceError
 from fastapi import APIRouter, Depends, HTTPException, Request
 from fastapi.responses import StreamingResponse
-from pydantic import ValidationError
+from pydantic import ConfigDict, ValidationError
 
 from litellm._logging import verbose_logger
 from litellm.constants import MCP_TOOL_NAME_PREFIX
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
-from litellm.types.mcp_server.mcp_server_manager import (
-    ListMCPToolsRestAPIResponseObject,
-)
+from litellm.types.mcp_server.mcp_server_manager import MCPInfo
 from litellm.types.utils import StandardLoggingMCPToolCall
 from litellm.utils import client
 
@@ -49,6 +47,19 @@ if MCP_AVAILABLE:
     from .sse_transport import SseServerTransport
     from .tool_registry import global_mcp_tool_registry
 
+    ######################################################
+    ############ MCP Tools List REST API Response Object #
+    # Defined here because we don't want to add `mcp` as a
+    # required dependency for `litellm` pip package
+    ######################################################
+    class ListMCPToolsRestAPIResponseObject(MCPTool):
+        """
+        Object returned by the /tools/list REST API route.
+        """
+
+        mcp_info: Optional[MCPInfo] = None
+        model_config = ConfigDict(arbitrary_types_allowed=True)
+
     ########################################################
     ############ Initialize the MCP Server #################
     ########################################################
@@ -224,7 +235,7 @@ if MCP_AVAILABLE:
     ############ MCP Server REST API Routes #################
     ########################################################
     @router.get("/tools/list", dependencies=[Depends(user_api_key_auth)])
-    async def list_tool_rest_api():
+    async def list_tool_rest_api() -> List[ListMCPToolsRestAPIResponseObject]:
         """
         List all available tools with information about the server they belong to.
 
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
index 9752423e7e..aecd11aa1a 100644
--- a/litellm/types/mcp_server/mcp_server_manager.py
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -3,14 +3,6 @@ from typing import TYPE_CHECKING, Optional
 from pydantic import BaseModel, ConfigDict
 from typing_extensions import TypedDict
 
-if TYPE_CHECKING:
-    from mcp import ClientSession
-    from mcp.types import Tool as MCPTool
-else:
-    # Provide fallback types for runtime incase `mcp` is not installed
-    ClientSession = None
-    MCPTool = object
-
 
 class MCPInfo(TypedDict, total=False):
     server_name: str
@@ -22,12 +14,3 @@ class MCPSSEServer(BaseModel):
     url: str
     mcp_info: Optional[MCPInfo] = None
     model_config = ConfigDict(arbitrary_types_allowed=True)
-
-
-class ListMCPToolsRestAPIResponseObject(MCPTool):
-    """
-    Object returned by the /tools/list REST API route.
-    """
-
-    mcp_info: Optional[MCPInfo] = None
-    model_config = ConfigDict(arbitrary_types_allowed=True)

From 46e5ebe3c7da4620474a5ad6ab0f0a1b740703f7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:00:26 -0700
Subject: [PATCH 225/244] docs add mcp graphic to stable release notes

---
 docs/my-website/img/mcp_ui.png                  | Bin 0 -> 95583 bytes
 docs/my-website/img/release_notes/mcp_ui.png    | Bin 0 -> 95583 bytes
 .../release_notes/v1.65.0-stable/index.md       |  11 ++++++++++-
 3 files changed, 10 insertions(+), 1 deletion(-)
 create mode 100644 docs/my-website/img/mcp_ui.png
 create mode 100644 docs/my-website/img/release_notes/mcp_ui.png

diff --git a/docs/my-website/img/mcp_ui.png b/docs/my-website/img/mcp_ui.png
new file mode 100644
index 0000000000000000000000000000000000000000..6731fba71be9802379cae96b9c7758fad3525811
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diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 0a1610f788..60c0054fb1 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -14,17 +14,26 @@ authors:
 tags: [mcp]
 hide_table_of_contents: false
 ---
+import Image from '@theme/IdealImage';
 
 LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
 
 ## Model Context Protocol (MCP)
 
-This release introduces support for centrally adding MCP servers on LiteLLM. This allows you to add MCP endpoints and your developers can `list` and `call` MCP tools through LiteLLM.
+This release introduces support for centrally adding MCP servers on LiteLLM. This allows you to add MCP server endpoints and your developers can `list` and `call` MCP tools through LiteLLM.
+
+<Image img={require('../../img/release_notes/mcp_ui.png')} />
 
 ## Custom Prompt Management
 
 This release allows you to connect LiteLLM to any prompt management service through our custom prompt management hooks. As proxy admin all you need to do is implement a `get_chat_completion_prompt` hook which accepts a prompt_id and prompt_variables and returns a formatted prompt.
 
+<Image 
+  img={require('../../img/custom_prompt_management.png')}
+  style={{width: '100%', display: 'block', margin: '2rem auto'}}
+/>
+
+
 
 ## Categorized Improvements and Fixes
 ### New Models / Updated Models

From d04cc6c81e5074237d5dbe71a00024c917aec3ee Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:03:55 -0700
Subject: [PATCH 226/244] docs release notes

---
 .../release_notes/v1.65.0-stable/index.md           | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 60c0054fb1..2ce7a91ed4 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -1,5 +1,5 @@
 ---
-title: v1.65.0-stable - Model Context Protocol (MCP)
+title: v1.65.0-stable - Model Context Protocol
 slug: v1.65.0-stable
 date: 2025-03-30T10:00:00
 authors:
@@ -11,7 +11,7 @@ authors:
     title: CTO, LiteLLM
     url: https://www.linkedin.com/in/reffajnaahsi/
     image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
-tags: [mcp]
+tags: [mcp, custom_prompt_management]
 hide_table_of_contents: false
 ---
 import Image from '@theme/IdealImage';
@@ -22,12 +22,19 @@ LiteLLM v1.65.0 introduces significant enhancements including Model Context Prot
 
 This release introduces support for centrally adding MCP servers on LiteLLM. This allows you to add MCP server endpoints and your developers can `list` and `call` MCP tools through LiteLLM.
 
-<Image img={require('../../img/release_notes/mcp_ui.png')} />
+Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
+
+<Image 
+  img={require('../../img/release_notes/mcp_ui.png')}
+  style={{width: '100%', display: 'block', margin: '2rem auto'}}
+/>
 
 ## Custom Prompt Management
 
 This release allows you to connect LiteLLM to any prompt management service through our custom prompt management hooks. As proxy admin all you need to do is implement a `get_chat_completion_prompt` hook which accepts a prompt_id and prompt_variables and returns a formatted prompt.
 
+Read more about custom prompt management [here](https://docs.litellm.ai/docs/proxy/custom_prompt_management).
+
 <Image 
   img={require('../../img/custom_prompt_management.png')}
   style={{width: '100%', display: 'block', margin: '2rem auto'}}

From f3b72858e8ce14e8e451b8d5f2226797c8286193 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:08:23 -0700
Subject: [PATCH 227/244] docs release notes

---
 .../release_notes/v1.65.0-stable/index.md     | 20 ++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 2ce7a91ed4..b36eac1603 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -28,6 +28,9 @@ Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
   img={require('../../img/release_notes/mcp_ui.png')}
   style={{width: '100%', display: 'block', margin: '2rem auto'}}
 />
+<p style={{textAlign: 'left', color: '#666'}}>
+  Expose and use MCP servers through LiteLLM
+</p>
 
 ## Custom Prompt Management
 
@@ -39,6 +42,9 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
   img={require('../../img/custom_prompt_management.png')}
   style={{width: '100%', display: 'block', margin: '2rem auto'}}
 />
+<p style={{textAlign: 'left', color: '#666'}}>
+  Connect LiteLLM to your prompt management service through custom hooks
+</p>
 
 
 
@@ -49,7 +55,6 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 - Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
 - OpenAI gpt-4o-transcribe support [PR](https://github.com/BerriAI/litellm/pull/9517)
 - Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
-- Updated model prices and context windows [PR](https://github.com/BerriAI/litellm/pull/9459)
 
 ### LLM Translation
 - OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
@@ -62,15 +67,20 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 - Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
 - Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
 - Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
-- Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
-- Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
 
 ### UI
+
+#### Model Management
 - Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
+- Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
+
+#### Request Logs
 - Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
 - Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
-- Enabled viewing all wildcard models on /model/info [PR](https://github.com/BerriAI/litellm/pull/9473)
-- Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
+
+#### Usage Tab
+- Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
+- Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
 
 ### Logging Integrations
 - Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)

From 5c107c64dd2197cd689c0e6485a430631074748f Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Sat, 29 Mar 2025 19:23:09 -0700
Subject: [PATCH 228/244] Add gemini audio input support + handle special
 tokens in sagemaker response (#9640)

* fix(internal_user_endpoints.py): cleanup unused variables on beta endpoint

no team/org split on daily user endpoint

* build(model_prices_and_context_window.json): gemini-2.0-flash supports audio input

* feat(gemini/transformation.py): support passing audio input to gemini

* test: fix test

* fix(gemini/transformation.py): support audio input as a url

enables passing google cloud bucket urls

* fix(gemini/transformation.py): support explicitly passing format of file

* fix(gemini/transformation.py): expand support for inferred file types from url

* fix(sagemaker/completion/transformation.py): fix special token error when counting sagemaker tokens

* test: fix import
---
 .../sagemaker/completion/transformation.py    |  10 +-
 .../llms/vertex_ai/gemini/transformation.py   | 100 +++++++++++++++---
 ...odel_prices_and_context_window_backup.json |   2 +
 litellm/proxy/_new_secret_config.yaml         |  16 +--
 .../internal_user_endpoints.py                |  24 +----
 litellm/types/llms/openai.py                  |   9 +-
 model_prices_and_context_window.json          |   2 +
 tests/llm_translation/base_llm_unit_tests.py  |  71 +++++++++++++
 tests/llm_translation/test_gemini.py          |   2 +-
 tests/llm_translation/test_gpt4o_audio.py     |   7 +-
 .../test_key_generate_prisma.py               |   6 +-
 11 files changed, 191 insertions(+), 58 deletions(-)

diff --git a/litellm/llms/sagemaker/completion/transformation.py b/litellm/llms/sagemaker/completion/transformation.py
index 9923c0e45d..df3d028c99 100644
--- a/litellm/llms/sagemaker/completion/transformation.py
+++ b/litellm/llms/sagemaker/completion/transformation.py
@@ -19,6 +19,7 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import ModelResponse, Usage
+from litellm.utils import token_counter
 
 from ..common_utils import SagemakerError
 
@@ -238,9 +239,12 @@ class SagemakerConfig(BaseConfig):
             )
 
         ## CALCULATING USAGE - baseten charges on time, not tokens - have some mapping of cost here.
-        prompt_tokens = len(encoding.encode(prompt))
-        completion_tokens = len(
-            encoding.encode(model_response["choices"][0]["message"].get("content", ""))
+        prompt_tokens = token_counter(
+            text=prompt, count_response_tokens=True
+        )  # doesn't apply any default token count from openai's chat template
+        completion_tokens = token_counter(
+            text=model_response["choices"][0]["message"].get("content", ""),
+            count_response_tokens=True,
         )
 
         model_response.created = int(time.time())
diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py
index 96b33ee187..8067d51c87 100644
--- a/litellm/llms/vertex_ai/gemini/transformation.py
+++ b/litellm/llms/vertex_ai/gemini/transformation.py
@@ -27,6 +27,8 @@ from litellm.types.files import (
 from litellm.types.llms.openai import (
     AllMessageValues,
     ChatCompletionAssistantMessage,
+    ChatCompletionAudioObject,
+    ChatCompletionFileObject,
     ChatCompletionImageObject,
     ChatCompletionTextObject,
 )
@@ -103,24 +105,53 @@ def _get_image_mime_type_from_url(url: str) -> Optional[str]:
     See gemini mime types: https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/image-understanding#image-requirements
 
     Supported by Gemini:
-     - PNG (`image/png`)
-     - JPEG (`image/jpeg`)
-     - WebP (`image/webp`)
-    Example:
-        url = https://example.com/image.jpg
-        Returns: image/jpeg
+     application/pdf
+    audio/mpeg
+    audio/mp3
+    audio/wav
+    image/png
+    image/jpeg
+    image/webp
+    text/plain
+    video/mov
+    video/mpeg
+    video/mp4
+    video/mpg
+    video/avi
+    video/wmv
+    video/mpegps
+    video/flv
     """
     url = url.lower()
-    if url.endswith((".jpg", ".jpeg")):
-        return "image/jpeg"
-    elif url.endswith(".png"):
-        return "image/png"
-    elif url.endswith(".webp"):
-        return "image/webp"
-    elif url.endswith(".mp4"):
-        return "video/mp4"
-    elif url.endswith(".pdf"):
-        return "application/pdf"
+
+    # Map file extensions to mime types
+    mime_types = {
+        # Images
+        (".jpg", ".jpeg"): "image/jpeg",
+        (".png",): "image/png",
+        (".webp",): "image/webp",
+        # Videos
+        (".mp4",): "video/mp4",
+        (".mov",): "video/mov",
+        (".mpeg", ".mpg"): "video/mpeg",
+        (".avi",): "video/avi",
+        (".wmv",): "video/wmv",
+        (".mpegps",): "video/mpegps",
+        (".flv",): "video/flv",
+        # Audio
+        (".mp3",): "audio/mp3",
+        (".wav",): "audio/wav",
+        (".mpeg",): "audio/mpeg",
+        # Documents
+        (".pdf",): "application/pdf",
+        (".txt",): "text/plain",
+    }
+
+    # Check each extension group against the URL
+    for extensions, mime_type in mime_types.items():
+        if any(url.endswith(ext) for ext in extensions):
+            return mime_type
+
     return None
 
 
@@ -152,7 +183,7 @@ def _gemini_convert_messages_with_history(  # noqa: PLR0915
                 _message_content = messages[msg_i].get("content")
                 if _message_content is not None and isinstance(_message_content, list):
                     _parts: List[PartType] = []
-                    for element in _message_content:
+                    for element_idx, element in enumerate(_message_content):
                         if (
                             element["type"] == "text"
                             and "text" in element
@@ -174,6 +205,41 @@ def _gemini_convert_messages_with_history(  # noqa: PLR0915
                                 image_url=image_url, format=format
                             )
                             _parts.append(_part)
+                        elif element["type"] == "input_audio":
+                            audio_element = cast(ChatCompletionAudioObject, element)
+                            if audio_element["input_audio"].get("data") is not None:
+                                _part = PartType(
+                                    inline_data=BlobType(
+                                        data=audio_element["input_audio"]["data"],
+                                        mime_type="audio/{}".format(
+                                            audio_element["input_audio"]["format"]
+                                        ),
+                                    )
+                                )
+                                _parts.append(_part)
+                        elif element["type"] == "file":
+                            file_element = cast(ChatCompletionFileObject, element)
+                            file_id = file_element["file"].get("file_id")
+                            format = file_element["file"].get("format")
+
+                            if not file_id:
+                                continue
+                            mime_type = format or _get_image_mime_type_from_url(file_id)
+
+                            if mime_type is not None:
+                                _part = PartType(
+                                    file_data=FileDataType(
+                                        file_uri=file_id,
+                                        mime_type=mime_type,
+                                    )
+                                )
+                                _parts.append(_part)
+                            else:
+                                raise Exception(
+                                    "Unable to determine mime type for file_id: {}, set this explicitly using message[{}].content[{}].file.format".format(
+                                        file_id, msg_i, element_idx
+                                    )
+                                )
                     user_content.extend(_parts)
                 elif (
                     _message_content is not None
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 4ce592d7b0..64525d660b 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4696,6 +4696,8 @@
         "supports_vision": true,
         "supports_response_schema": true,
         "supports_audio_output": true,
+        "supports_audio_input": true,
+        "supported_modalities": ["text", "image", "audio", "video"],
         "supports_tool_choice": true,
         "source": "https://ai.google.dev/pricing#2_0flash"
     },
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index 72edeb55ca..6c57afc76e 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -16,14 +16,18 @@ model_list:
  - model_name: "bedrock-nova"
    litellm_params:
     model: us.amazon.nova-pro-v1:0
+ - model_name: "gemini-2.0-flash"
+   litellm_params:
+    model: gemini/gemini-2.0-flash
+    api_key: os.environ/GEMINI_API_KEY
 
 litellm_settings:
   num_retries: 0
   callbacks: ["prometheus"]
-  json_logs: true
+  # json_logs: true
 
-router_settings:
-  routing_strategy: usage-based-routing-v2 # 👈 KEY CHANGE
-  redis_host: os.environ/REDIS_HOST
-  redis_password: os.environ/REDIS_PASSWORD
-  redis_port: os.environ/REDIS_PORT
+# router_settings:
+#   routing_strategy: usage-based-routing-v2 # 👈 KEY CHANGE
+#   redis_host: os.environ/REDIS_HOST
+#   redis_password: os.environ/REDIS_PASSWORD
+#   redis_port: os.environ/REDIS_PORT
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index 90444013a8..8124b7fd20 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -1370,22 +1370,6 @@ async def get_user_daily_activity(
         default=None,
         description="End date in YYYY-MM-DD format",
     ),
-    group_by: List[GroupByDimension] = fastapi.Query(
-        default=[GroupByDimension.DATE],
-        description="Dimensions to group by. Can combine multiple (e.g. date,team)",
-    ),
-    view_by: Literal["team", "organization", "user"] = fastapi.Query(
-        default="user",
-        description="View spend at team/org/user level",
-    ),
-    team_id: Optional[str] = fastapi.Query(
-        default=None,
-        description="Filter by specific team",
-    ),
-    org_id: Optional[str] = fastapi.Query(
-        default=None,
-        description="Filter by specific organization",
-    ),
     model: Optional[str] = fastapi.Query(
         default=None,
         description="Filter by specific model",
@@ -1408,13 +1392,13 @@ async def get_user_daily_activity(
     Meant to optimize querying spend data for analytics for a user.
 
     Returns:
-    (by date/team/org/user/model/api_key/model_group/provider)
+    (by date)
     - spend
     - prompt_tokens
     - completion_tokens
     - total_tokens
     - api_requests
-    - breakdown by team, organization, user, model, api_key, model_group, provider
+    - breakdown by model, api_key, provider
     """
     from litellm.proxy.proxy_server import prisma_client
 
@@ -1439,10 +1423,6 @@ async def get_user_daily_activity(
             }
         }
 
-        if team_id:
-            where_conditions["team_id"] = team_id
-        if org_id:
-            where_conditions["organization_id"] = org_id
         if model:
             where_conditions["model"] = model
         if api_key:
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index 3ba5a3a4e0..6378d02888 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -505,10 +505,11 @@ class ChatCompletionDocumentObject(TypedDict):
     citations: Optional[CitationsObject]
 
 
-class ChatCompletionFileObjectFile(TypedDict):
-    file_data: Optional[str]
-    file_id: Optional[str]
-    filename: Optional[str]
+class ChatCompletionFileObjectFile(TypedDict, total=False):
+    file_data: str
+    file_id: str
+    filename: str
+    format: str
 
 
 class ChatCompletionFileObject(TypedDict):
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 4ce592d7b0..64525d660b 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4696,6 +4696,8 @@
         "supports_vision": true,
         "supports_response_schema": true,
         "supports_audio_output": true,
+        "supports_audio_input": true,
+        "supported_modalities": ["text", "image", "audio", "video"],
         "supports_tool_choice": true,
         "source": "https://ai.google.dev/pricing#2_0flash"
     },
diff --git a/tests/llm_translation/base_llm_unit_tests.py b/tests/llm_translation/base_llm_unit_tests.py
index eb58512197..432fd848b5 100644
--- a/tests/llm_translation/base_llm_unit_tests.py
+++ b/tests/llm_translation/base_llm_unit_tests.py
@@ -7,6 +7,7 @@ from unittest.mock import MagicMock, Mock, patch
 import os
 import uuid
 import time
+import base64
 
 sys.path.insert(
     0, os.path.abspath("../..")
@@ -889,6 +890,74 @@ class BaseLLMChatTest(ABC):
 
         assert cost > 0
 
+    @pytest.mark.parametrize("input_type", ["input_audio", "audio_url"])
+    def test_supports_audio_input(self, input_type):
+        from litellm.utils import return_raw_request, supports_audio_input
+        from litellm.types.utils import CallTypes
+        os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+        litellm.model_cost = litellm.get_model_cost_map(url="")
+
+
+        litellm.drop_params = True
+        base_completion_call_args = self.get_base_completion_call_args()
+        if not supports_audio_input(base_completion_call_args["model"], None):
+            print("Model does not support audio input")
+            pytest.skip("Model does not support audio input")
+
+        url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
+        response = httpx.get(url)
+        response.raise_for_status()
+        wav_data = response.content
+        audio_format = "wav"
+        encoded_string = base64.b64encode(wav_data).decode("utf-8")
+
+        audio_content = [
+            {
+                "type": "text",
+                "text": "What is in this recording?"
+            }
+        ]
+
+        test_file_id = "gs://bucket/file.wav"
+
+        if input_type == "input_audio":
+            audio_content.append({
+                "type": "input_audio",
+                "input_audio": {"data": encoded_string, "format": audio_format},
+            })
+        elif input_type == "audio_url":
+            audio_content.append(
+                {
+                    "type": "file",
+                    "file": {
+                        "file_id": test_file_id,
+                        "filename": "my-sample-audio-file",
+                    }
+                }
+            )
+            
+                
+
+        raw_request = return_raw_request(
+            endpoint=CallTypes.completion,
+            kwargs={
+                **base_completion_call_args, 
+                "modalities": ["text", "audio"],
+                "audio": {"voice": "alloy", "format": audio_format},
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": audio_content,
+                    },
+                ]
+            }
+        )
+        print("raw_request: ", raw_request)
+
+        if input_type == "input_audio":
+            assert encoded_string in json.dumps(raw_request), "Audio data not sent to gemini"
+        elif input_type == "audio_url":
+            assert test_file_id in json.dumps(raw_request), "Audio URL not sent to gemini"
 
 class BaseOSeriesModelsTest(ABC):  # test across azure/openai
     @abstractmethod
@@ -1089,3 +1158,5 @@ class BaseAnthropicChatTest(ABC):
         )
 
         print(response)
+
+ 
\ No newline at end of file
diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py
index f592337593..7c7c10daee 100644
--- a/tests/llm_translation/test_gemini.py
+++ b/tests/llm_translation/test_gemini.py
@@ -15,7 +15,7 @@ from litellm.llms.vertex_ai.context_caching.transformation import (
 
 class TestGoogleAIStudioGemini(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
-        return {"model": "gemini/gemini-1.5-flash-002"}
+        return {"model": "gemini/gemini-2.0-flash"}
 
     def test_tool_call_no_arguments(self, tool_call_no_arguments):
         """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
diff --git a/tests/llm_translation/test_gpt4o_audio.py b/tests/llm_translation/test_gpt4o_audio.py
index 822cfb0356..f41dabb666 100644
--- a/tests/llm_translation/test_gpt4o_audio.py
+++ b/tests/llm_translation/test_gpt4o_audio.py
@@ -84,12 +84,14 @@ async def test_audio_output_from_model(stream):
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("stream", [True, False])
-async def test_audio_input_to_model(stream):
+@pytest.mark.parametrize("model", ["gpt-4o-audio-preview"]) # "gpt-4o-audio-preview", 
+async def test_audio_input_to_model(stream, model):
     # Fetch the audio file and convert it to a base64 encoded string
     audio_format = "pcm16"
     if stream is False:
         audio_format = "wav"
     litellm._turn_on_debug()
+    litellm.drop_params = True
     url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
     response = requests.get(url)
     response.raise_for_status()
@@ -97,7 +99,7 @@ async def test_audio_input_to_model(stream):
     encoded_string = base64.b64encode(wav_data).decode("utf-8")
     try:
         completion = await litellm.acompletion(
-            model="gpt-4o-audio-preview",
+            model=model,
             modalities=["text", "audio"],
             audio={"voice": "alloy", "format": audio_format},
             stream=stream,
@@ -120,6 +122,7 @@ async def test_audio_input_to_model(stream):
     except Exception as e:
         if "openai-internal" in str(e):
             pytest.skip("Skipping test due to openai-internal error")
+        raise e
     if stream is True:
         await check_streaming_response(completion)
     else:
diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index 99fc415c1b..ea837b717b 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -2285,10 +2285,10 @@ def test_update_logs_with_spend_logs_url(prisma_client):
     """
     Unit test for making sure spend logs list is still updated when url passed in
     """
-    from litellm.proxy.proxy_server import _set_spend_logs_payload
+    from litellm.proxy.db.db_spend_update_writer import DBSpendUpdateWriter
 
     payload = {"startTime": datetime.now(), "endTime": datetime.now()}
-    _set_spend_logs_payload(payload=payload, prisma_client=prisma_client)
+    DBSpendUpdateWriter._set_spend_logs_payload(payload=payload, prisma_client=prisma_client)
 
     assert len(prisma_client.spend_log_transactions) > 0
 
@@ -2296,7 +2296,7 @@ def test_update_logs_with_spend_logs_url(prisma_client):
 
     spend_logs_url = ""
     payload = {"startTime": datetime.now(), "endTime": datetime.now()}
-    _set_spend_logs_payload(
+    DBSpendUpdateWriter._set_spend_logs_payload(
         payload=payload, spend_logs_url=spend_logs_url, prisma_client=prisma_client
     )
 

From e9b743e3c6a8eba13c789f1a0bc1dbbf79a2151b Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:50:13 -0700
Subject: [PATCH 229/244] docs release notes

---
 .../release_notes/v1.65.0-stable/index.md     | 26 +++++++++----------
 1 file changed, 12 insertions(+), 14 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index b36eac1603..68154f90e9 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -47,63 +47,61 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 </p>
 
 
-
-## Categorized Improvements and Fixes
-### New Models / Updated Models
+## New Models / Updated Models
 - Support for Vertex AI gemini-2.0-flash-lite & Google AI Studio gemini-2.0-flash-lite [PR](https://github.com/BerriAI/litellm/pull/9523)
 - Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)
 - Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
 - OpenAI gpt-4o-transcribe support [PR](https://github.com/BerriAI/litellm/pull/9517)
 - Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
 
-### LLM Translation
+## LLM Translation
 - OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
 - Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518) 
 - Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
 - Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
 - Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
 
-### Spend Tracking Improvements
+## Spend Tracking Improvements
 - Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
 - Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
 - Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
 
-### UI
+## UI
 
-#### Model Management
+### Model Management
 - Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
 - Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
 
-#### Request Logs
+### Request Logs
 - Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
 - Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
 
-#### Usage Tab
+### Usage Tab
 - Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
 - Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
 
-### Logging Integrations
+## Logging Integrations
 - Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
 
-### Performance / Reliability Improvements
+## Performance / Reliability Improvements
 - LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
 - Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
 - Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
 - Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
 - Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
 
-### General Improvements
+## General Improvements
 - Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
 - Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
 - Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
 - Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
 - Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
 
-### Documentation
+## Documentation
 - Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
 - Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
 
-### Security
+## Security
 - Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)
 
 ## Complete Git Diff

From 1f10d985fb68637de63ccb405c10790490e24b40 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:51:38 -0700
Subject: [PATCH 230/244] docs updates release notes

---
 docs/my-website/release_notes/v1.65.0-stable/index.md | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 68154f90e9..3435c919dc 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -87,7 +87,6 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 - LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
 - Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
 - Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
-- Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
 - Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
 
 ## General Improvements
@@ -95,11 +94,6 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 - Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
 - Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
 - Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
-- Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
-
-## Documentation
-- Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
-- Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
 
 ## Security
 - Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)

From 9b187d89f2d152e88d3d25054c450dbb84a59459 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 19:55:41 -0700
Subject: [PATCH 231/244] add litellm model name on SLP

---
 docs/my-website/release_notes/v1.65.0-stable/index.md | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 3435c919dc..cd85cf8322 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -60,6 +60,7 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 - Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
 - Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
 - Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
+- Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
 
 ## Spend Tracking Improvements
 - Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
@@ -82,18 +83,21 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 
 ## Logging Integrations
 - Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
+- Track `litellm_model_name` on `StandardLoggingPayload` [Docs](https://docs.litellm.ai/docs/proxy/logging_spec#standardlogginghiddenparams)
 
 ## Performance / Reliability Improvements
 - LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
 - Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
 - Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
-- Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
+
 
 ## General Improvements
 - Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
 - Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
 - Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
 - Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
+- View all wildcard models on /model/info [PR](https://github.com/BerriAI/litellm/pull/9572)
+
 
 ## Security
 - Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)

From 7673293c9f2ba119d67dfad4dd11627ee17ce045 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 20:01:00 -0700
Subject: [PATCH 232/244] docs update stable release

---
 docs/my-website/release_notes/v1.65.0-stable/index.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index cd85cf8322..d42b1c661e 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -57,9 +57,10 @@ Read more about custom prompt management [here](https://docs.litellm.ai/docs/pro
 ## LLM Translation
 - OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
 - Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518) 
-- Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
+- Support for sending images and video to Vertex AI multimodal embedding [Doc](https://docs.litellm.ai/docs/providers/vertex#multi-modal-embeddings)
 - Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
-- Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
+- Bug fix for returning `response_cost` when using litellm python SDK with LiteLLM Proxy [PR](https://github.com/BerriAI/litellm/commit/6fd18651d129d606182ff4b980e95768fc43ca3d)
+- Support for `max_completion_tokens` on Mistral API [PR](https://github.com/BerriAI/litellm/pull/9606)
 - Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
 
 ## Spend Tracking Improvements

From 8c2f1c61427521e6d50c3ed1a196ff311fe81aee Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 20:03:05 -0700
Subject: [PATCH 233/244] docs 1.65.0-stable

---
 docs/my-website/release_notes/v1.65.0-stable/index.md | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index d42b1c661e..36e571be93 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -16,7 +16,14 @@ hide_table_of_contents: false
 ---
 import Image from '@theme/IdealImage';
 
-LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
+v1.65.0-stable is live now. Here are the key highlights of this release:
+- **MCP Support**: Support for adding and using MCP servers on the LiteLLM proxy.
+- **Custom Prompt Management**: Connect LiteLLM to your prompt management system with custom hooks.
+
+
+
+
+
 
 ## Model Context Protocol (MCP)
 

From 2238a5585bec9d80d60bfec281c8f3d946646487 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 20:35:53 -0700
Subject: [PATCH 234/244] doc fix mcp

---
 docs/my-website/sidebars.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 2e5d0f2a0a..5aeee715d1 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -304,7 +304,6 @@ const sidebars = {
             "image_variations",
           ]
         },
-        "mcp",
         {
           type: "category",
           label: "/audio",

From db12adb3db5e0190b160c7fe4f2a37914e44fe60 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 20:42:14 -0700
Subject: [PATCH 235/244] docs mcp tools

---
 docs/my-website/docs/mcp.md     | 62 ++++++++-------------------------
 litellm/proxy/proxy_config.yaml |  2 +-
 2 files changed, 15 insertions(+), 49 deletions(-)

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 744c23644e..291de46ec9 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -282,8 +282,8 @@ This allows you to define tools that can be called by any MCP compatible client.
 
 LiteLLM exposes the following MCP endpoints:
 
-- `/mcp/list_tools` - List all available tools
-- `/mcp/call_tool` - Call a specific tool with the provided arguments
+- `/mcp/tools/list` - List all available tools
+- `/mcp/tools/call` - Call a specific tool with the provided arguments
 
 When MCP clients connect to LiteLLM they can follow this workflow:
 
@@ -297,9 +297,9 @@ When MCP clients connect to LiteLLM they can follow this workflow:
 
 #### Usage
 
-#### 1. Define your tools on mcp_tools
+#### 1. Define your tools on under `mcp_servers` in your config.yaml file.
 
-LiteLLM allows you to define your tools on the `mcp_tools` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
+LiteLLM allows you to define your tools on the `mcp_servers` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
 
 ```yaml
 model_list:
@@ -308,64 +308,30 @@ model_list:
       model: openai/gpt-4o
       api_key: sk-xxxxxxx
 
-
-
-mcp_tools:
-  - name: "get_current_time"
-    description: "Get the current time"
-    input_schema: {
-      "type": "object",
-      "properties": {
-        "format": {
-          "type": "string",
-          "description": "The format of the time to return",
-          "enum": ["short"]
-        }
-      }
+mcp_servers:
+  {
+    "zapier_mcp": {
+      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse",
+    },
+    "fetch" {
+      "url": "http://localhost:8000/sse",
     }
-    handler: "mcp_tools.get_current_time"
+  }
+
 ```
 
-#### 2. Define a handler for your tool
 
-Create a new file called `mcp_tools.py` and add this code. The key method here is `get_current_time` which gets executed when the `get_current_time` tool is called.
-
-```python
-# mcp_tools.py
-
-from datetime import datetime
-
-def get_current_time(format: str = "short"):
-    """
-    Simple handler for the 'get_current_time' tool.
-    
-    Args:
-        format (str): The format of the time to return ('short').
-    
-    Returns:
-        str: The current time formatted as 'HH:MM'.
-    """
-    # Get the current time
-    current_time = datetime.now()
-    
-    # Format the time as 'HH:MM'
-    return current_time.strftime('%H:%M')
-```
-
-#### 3. Start LiteLLM Gateway
+#### 2. Start LiteLLM Gateway
 
 <Tabs>
 <TabItem value="docker" label="Docker Run">
 
-Mount your `mcp_tools.py` on the LiteLLM Docker container.
-
 ```shell
 docker run -d \
   -p 4000:4000 \
   -e OPENAI_API_KEY=$OPENAI_API_KEY \
   --name my-app \
   -v $(pwd)/my_config.yaml:/app/config.yaml \
-  -v $(pwd)/mcp_tools.py:/app/mcp_tools.py \
   my-app:latest \
   --config /app/config.yaml \
   --port 4000 \
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 3956eab23f..22d61ab073 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -5,7 +5,7 @@ model_list:
 
 mcp_servers:
   {
-    "Zapier MCP": {
+    "Zapier_MCP": {
       "url": "os.environ/ZAPIER_MCP_SERVER_URL",
       "mcp_info": {
         "logo_url": "https://espysys.com/wp-content/uploads/2024/08/zapier-logo.webp",

From 366f3a901c78214357c779ac461bc046e045c00e Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 21:46:18 -0700
Subject: [PATCH 236/244] docs mcp

---
 docs/my-website/docs/mcp.md | 51 ++-----------------------------------
 1 file changed, 2 insertions(+), 49 deletions(-)

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 291de46ec9..7b21063c84 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -291,8 +291,8 @@ When MCP clients connect to LiteLLM they can follow this workflow:
 2. List all available tools on LiteLLM
 3. Client makes LLM API request with tool call(s)
 4. LLM API returns which tools to call and with what arguments
-5. MCP client makes tool calls to LiteLLM
-6. LiteLLM makes the tool calls to the appropriate handlers
+5. MCP client makes MCP tool calls to LiteLLM
+6. LiteLLM makes the tool calls to the appropriate MCP server
 7. LiteLLM returns the tool call results to the MCP client
 
 #### Usage
@@ -395,50 +395,3 @@ if __name__ == "__main__":
     asyncio.run(main())
 
 ```
-
-
-### Specification for `mcp_tools`
-
-The `mcp_tools` section in your LiteLLM config defines tools that can be called by MCP-compatible clients.
-
-#### Tool Definition Format
-
-```yaml
-mcp_tools:
-  - name: string                # Required: Name of the tool
-    description: string         # Required: Description of what the tool does
-    input_schema: object        # Required: JSON Schema defining the tool's input parameters
-    handler: string             # Required: Path to the function that implements the tool
-```
-
-#### Field Details
-
-- `name`: A unique identifier for the tool
-- `description`: A clear description of what the tool does, used by LLMs to determine when to call it
-- `input_schema`: JSON Schema object defining the expected input parameters
-- `handler`: String path to the Python function that implements the tool (e.g., "module.submodule.function_name")
-
-#### Example Tool Definition
-
-```yaml
-mcp_tools:
-  - name: "get_current_time"
-    description: "Get the current time in a specified format"
-    input_schema: {
-      "type": "object",
-      "properties": {
-        "format": {
-          "type": "string",
-          "description": "The format of the time to return",
-          "enum": ["short", "long", "iso"]
-        },
-        "timezone": {
-          "type": "string",
-          "description": "The timezone to use (e.g., 'UTC', 'America/New_York')",
-          "default": "UTC"
-        }
-      },
-      "required": ["format"]
-    }
-    handler: "mcp_tools.get_current_time"
-```

From cc80370e0ce8b69b862f609a9201577c39840cb3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 21:59:58 -0700
Subject: [PATCH 237/244] docs mcp litellm

---
 docs/my-website/docs/mcp.md     | 113 +++++++++++++++++++++-----------
 litellm/proxy/proxy_config.yaml |  11 ++--
 2 files changed, 81 insertions(+), 43 deletions(-)

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 7b21063c84..1d66596900 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -272,11 +272,10 @@ async with stdio_client(server_params) as (read, write):
 </TabItem>
 </Tabs>
 
-## Advanced Usage
-
+## Advanced
 ### Expose MCP tools on LiteLLM Proxy Server
 
-This allows you to define tools that can be called by any MCP compatible client. Define your mcp_tools with LiteLLM and all your clients can list and call available tools.
+This allows you to define tools that can be called by any MCP compatible client. Define your `mcp_servers` with LiteLLM and all your clients can list and call available tools.
 
 #### How it works
 
@@ -301,7 +300,7 @@ When MCP clients connect to LiteLLM they can follow this workflow:
 
 LiteLLM allows you to define your tools on the `mcp_servers` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
 
-```yaml
+```yaml title="config.yaml" showLineNumbers
 model_list:
   - model_name: gpt-4o
     litellm_params:
@@ -311,13 +310,12 @@ model_list:
 mcp_servers:
   {
     "zapier_mcp": {
-      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse",
+      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse"
     },
-    "fetch" {
-      "url": "http://localhost:8000/sse",
+    "fetch": {
+      "url": "http://localhost:8000/sse"
     }
   }
-
 ```
 
 
@@ -326,7 +324,7 @@ mcp_servers:
 <Tabs>
 <TabItem value="docker" label="Docker Run">
 
-```shell
+```shell title="Docker Run" showLineNumbers
 docker run -d \
   -p 4000:4000 \
   -e OPENAI_API_KEY=$OPENAI_API_KEY \
@@ -342,7 +340,7 @@ docker run -d \
 
 <TabItem value="py" label="litellm pip">
 
-```shell
+```shell title="litellm pip" showLineNumbers
 litellm --config config.yaml --detailed_debug
 ```
 
@@ -350,48 +348,87 @@ litellm --config config.yaml --detailed_debug
 </Tabs>
 
 
-#### 4. Make an LLM API request 
+#### 3. Make an LLM API request 
 
+In this example we will do the following:
 
+1. Use MCP client to list MCP tools on LiteLLM Proxy
+2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
+3. Provide the MCP tools to `gpt-4o`
+4. Handle tool call from `gpt-4o`
+5. Convert OpenAI tool call to MCP tool call
+6. Execute tool call on MCP server
 
-```python
+```python title="MCP Client List Tools" showLineNumbers
 import asyncio
-from langchain_mcp_adapters.tools import load_mcp_tools
-from langchain_openai import ChatOpenAI
-from langgraph.prebuilt import create_react_agent
+from openai import AsyncOpenAI
+from openai.types.chat import ChatCompletionUserMessageParam
 from mcp import ClientSession
 from mcp.client.sse import sse_client
+from litellm.experimental_mcp_client.tools import (
+    transform_mcp_tool_to_openai_tool,
+    transform_openai_tool_call_request_to_mcp_tool_call_request,
+)
 
 
 async def main():
-    # Initialize the model with your API key
-    model = ChatOpenAI(model="gpt-4o")
+    # Initialize clients
     
-    # Connect to the MCP server
-    async with sse_client(url="http://localhost:4000/mcp/") as (read, write):
+    # point OpenAI client to LiteLLM Proxy
+    client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
+
+    # Point MCP client to LiteLLM Proxy
+    async with sse_client("http://localhost:4000/mcp/") as (read, write):
         async with ClientSession(read, write) as session:
-            # Initialize the session
-            print("Initializing session...")
             await session.initialize()
-            print("Session initialized")
 
-            # Load available tools from MCP
-            print("Loading tools...")
-            tools = await load_mcp_tools(session)
-            print(f"Loaded {len(tools)} tools")
+            # 1. List MCP tools on LiteLLM Proxy
+            mcp_tools = await session.list_tools()
+            print("List of MCP tools for MCP server:", mcp_tools.tools)
 
-            # Create a ReAct agent with the model and tools
-            agent = create_react_agent(model, tools)
-            
-            # Run the agent with a user query
-            user_query = "What's the weather in Tokyo?"
-            print(f"Asking: {user_query}")
-            agent_response = await agent.ainvoke({"messages": user_query})
-            print("Agent response:")
-            print(agent_response)
+            # Create message
+            messages = [
+                ChatCompletionUserMessageParam(
+                    content="Send an email about LiteLLM supporting MCP", role="user"
+                )
+            ]
+
+            # 2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
+            # Since OpenAI only supports tools in the OpenAI format, we need to convert the MCP tools to the OpenAI format.
+            openai_tools = [
+                transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools
+            ]
+
+            # 3. Provide the MCP tools to `gpt-4o`
+            response = await client.chat.completions.create(
+                model="gpt-4o",
+                messages=messages,
+                tools=openai_tools,
+                tool_choice="auto",
+            )
+
+            # 4. Handle tool call from `gpt-4o`
+            if response.choices[0].message.tool_calls:
+                tool_call = response.choices[0].message.tool_calls[0]
+                if tool_call:
+
+                    # 5. Convert OpenAI tool call to MCP tool call
+                    # Since MCP servers expect tools in the MCP format, we need to convert the OpenAI tool call to the MCP format.
+                    # This is done using litellm.experimental_mcp_client.tools.transform_openai_tool_call_request_to_mcp_tool_call_request
+                    mcp_call = (
+                        transform_openai_tool_call_request_to_mcp_tool_call_request(
+                            openai_tool=tool_call.model_dump()
+                        )
+                    )
+
+                    # 6. Execute tool call on MCP server
+                    result = await session.call_tool(
+                        name=mcp_call.name, arguments=mcp_call.arguments
+                    )
+
+                    print("Result:", result)
 
 
-if __name__ == "__main__":
-    asyncio.run(main())
-
+# Run it
+asyncio.run(main())
 ```
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 22d61ab073..c0107d7ea6 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -2,13 +2,14 @@ model_list:
   - model_name: gpt-4o
     litellm_params:
       model: openai/gpt-4o
+      api_key: sk-xxxxxxx
 
 mcp_servers:
   {
-    "Zapier_MCP": {
-      "url": "os.environ/ZAPIER_MCP_SERVER_URL",
-      "mcp_info": {
-        "logo_url": "https://espysys.com/wp-content/uploads/2024/08/zapier-logo.webp",
-      }
+    "zapier_mcp": {
+      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse"
+    },
+    "fetch": {
+      "url": "http://localhost:8000/sse"
     }
   }

From df01337bd859a419077e0f4818d95f1afd2c578b Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 22:28:03 -0700
Subject: [PATCH 238/244] docs litellm mcp

---
 docs/my-website/docs/mcp.md   | 329 +++++++++++++++++-----------------
 docs/my-website/img/mcp_2.png | Bin 0 -> 135741 bytes
 2 files changed, 161 insertions(+), 168 deletions(-)
 create mode 100644 docs/my-website/img/mcp_2.png

diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md
index 1d66596900..0947c494c7 100644
--- a/docs/my-website/docs/mcp.md
+++ b/docs/my-website/docs/mcp.md
@@ -4,21 +4,177 @@ import Image from '@theme/IdealImage';
 
 # /mcp [BETA] - Model Context Protocol
 
-Use Model Context Protocol with LiteLLM
+## Expose MCP tools on LiteLLM Proxy Server
 
+This allows you to define tools that can be called by any MCP compatible client. Define your `mcp_servers` with LiteLLM and all your clients can list and call available tools.
 
 <Image 
-  img={require('../img/litellm_mcp.png')}
+  img={require('../img/mcp_2.png')}
   style={{width: '100%', display: 'block', margin: '2rem auto'}}
 />
 <p style={{textAlign: 'left', color: '#666'}}>
   LiteLLM MCP Architecture: Use MCP tools with all LiteLLM supported models
 </p>
 
+#### How it works
 
-## Overview
+LiteLLM exposes the following MCP endpoints:
 
-LiteLLM acts as a MCP bridge to utilize MCP tools with all LiteLLM supported models. LiteLLM offers the following features for using MCP
+- `/mcp/tools/list` - List all available tools
+- `/mcp/tools/call` - Call a specific tool with the provided arguments
+
+When MCP clients connect to LiteLLM they can follow this workflow:
+
+1. Connect to the LiteLLM MCP server
+2. List all available tools on LiteLLM
+3. Client makes LLM API request with tool call(s)
+4. LLM API returns which tools to call and with what arguments
+5. MCP client makes MCP tool calls to LiteLLM
+6. LiteLLM makes the tool calls to the appropriate MCP server
+7. LiteLLM returns the tool call results to the MCP client
+
+#### Usage
+
+#### 1. Define your tools on under `mcp_servers` in your config.yaml file.
+
+LiteLLM allows you to define your tools on the `mcp_servers` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
+
+```yaml title="config.yaml" showLineNumbers
+model_list:
+  - model_name: gpt-4o
+    litellm_params:
+      model: openai/gpt-4o
+      api_key: sk-xxxxxxx
+
+mcp_servers:
+  {
+    "zapier_mcp": {
+      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse"
+    },
+    "fetch": {
+      "url": "http://localhost:8000/sse"
+    }
+  }
+```
+
+
+#### 2. Start LiteLLM Gateway
+
+<Tabs>
+<TabItem value="docker" label="Docker Run">
+
+```shell title="Docker Run" showLineNumbers
+docker run -d \
+  -p 4000:4000 \
+  -e OPENAI_API_KEY=$OPENAI_API_KEY \
+  --name my-app \
+  -v $(pwd)/my_config.yaml:/app/config.yaml \
+  my-app:latest \
+  --config /app/config.yaml \
+  --port 4000 \
+  --detailed_debug \
+```
+
+</TabItem>
+
+<TabItem value="py" label="litellm pip">
+
+```shell title="litellm pip" showLineNumbers
+litellm --config config.yaml --detailed_debug
+```
+
+</TabItem>
+</Tabs>
+
+
+#### 3. Make an LLM API request 
+
+In this example we will do the following:
+
+1. Use MCP client to list MCP tools on LiteLLM Proxy
+2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
+3. Provide the MCP tools to `gpt-4o`
+4. Handle tool call from `gpt-4o`
+5. Convert OpenAI tool call to MCP tool call
+6. Execute tool call on MCP server
+
+```python title="MCP Client List Tools" showLineNumbers
+import asyncio
+from openai import AsyncOpenAI
+from openai.types.chat import ChatCompletionUserMessageParam
+from mcp import ClientSession
+from mcp.client.sse import sse_client
+from litellm.experimental_mcp_client.tools import (
+    transform_mcp_tool_to_openai_tool,
+    transform_openai_tool_call_request_to_mcp_tool_call_request,
+)
+
+
+async def main():
+    # Initialize clients
+    
+    # point OpenAI client to LiteLLM Proxy
+    client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
+
+    # Point MCP client to LiteLLM Proxy
+    async with sse_client("http://localhost:4000/mcp/") as (read, write):
+        async with ClientSession(read, write) as session:
+            await session.initialize()
+
+            # 1. List MCP tools on LiteLLM Proxy
+            mcp_tools = await session.list_tools()
+            print("List of MCP tools for MCP server:", mcp_tools.tools)
+
+            # Create message
+            messages = [
+                ChatCompletionUserMessageParam(
+                    content="Send an email about LiteLLM supporting MCP", role="user"
+                )
+            ]
+
+            # 2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
+            # Since OpenAI only supports tools in the OpenAI format, we need to convert the MCP tools to the OpenAI format.
+            openai_tools = [
+                transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools
+            ]
+
+            # 3. Provide the MCP tools to `gpt-4o`
+            response = await client.chat.completions.create(
+                model="gpt-4o",
+                messages=messages,
+                tools=openai_tools,
+                tool_choice="auto",
+            )
+
+            # 4. Handle tool call from `gpt-4o`
+            if response.choices[0].message.tool_calls:
+                tool_call = response.choices[0].message.tool_calls[0]
+                if tool_call:
+
+                    # 5. Convert OpenAI tool call to MCP tool call
+                    # Since MCP servers expect tools in the MCP format, we need to convert the OpenAI tool call to the MCP format.
+                    # This is done using litellm.experimental_mcp_client.tools.transform_openai_tool_call_request_to_mcp_tool_call_request
+                    mcp_call = (
+                        transform_openai_tool_call_request_to_mcp_tool_call_request(
+                            openai_tool=tool_call.model_dump()
+                        )
+                    )
+
+                    # 6. Execute tool call on MCP server
+                    result = await session.call_tool(
+                        name=mcp_call.name, arguments=mcp_call.arguments
+                    )
+
+                    print("Result:", result)
+
+
+# Run it
+asyncio.run(main())
+```
+
+## LiteLLM Python SDK MCP Bridge
+
+LiteLLM Python SDK acts as a MCP bridge to utilize MCP tools with all LiteLLM supported models. LiteLLM offers the following features for using MCP
 
 - **List** Available MCP Tools: OpenAI clients can view all available MCP tools
   - `litellm.experimental_mcp_client.load_mcp_tools` to list all available MCP tools
@@ -26,8 +182,6 @@ LiteLLM acts as a MCP bridge to utilize MCP tools with all LiteLLM supported mod
   - `litellm.experimental_mcp_client.call_openai_tool` to call an OpenAI tool on an MCP server
 
 
-## Usage
-
 ### 1. List Available MCP Tools
 
 In this example we'll use `litellm.experimental_mcp_client.load_mcp_tools` to list all available MCP tools on any MCP server. This method can be used in two ways:
@@ -270,165 +424,4 @@ async with stdio_client(server_params) as (read, write):
 ```
 
 </TabItem>
-</Tabs>
-
-## Advanced
-### Expose MCP tools on LiteLLM Proxy Server
-
-This allows you to define tools that can be called by any MCP compatible client. Define your `mcp_servers` with LiteLLM and all your clients can list and call available tools.
-
-#### How it works
-
-LiteLLM exposes the following MCP endpoints:
-
-- `/mcp/tools/list` - List all available tools
-- `/mcp/tools/call` - Call a specific tool with the provided arguments
-
-When MCP clients connect to LiteLLM they can follow this workflow:
-
-1. Connect to the LiteLLM MCP server
-2. List all available tools on LiteLLM
-3. Client makes LLM API request with tool call(s)
-4. LLM API returns which tools to call and with what arguments
-5. MCP client makes MCP tool calls to LiteLLM
-6. LiteLLM makes the tool calls to the appropriate MCP server
-7. LiteLLM returns the tool call results to the MCP client
-
-#### Usage
-
-#### 1. Define your tools on under `mcp_servers` in your config.yaml file.
-
-LiteLLM allows you to define your tools on the `mcp_servers` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
-
-```yaml title="config.yaml" showLineNumbers
-model_list:
-  - model_name: gpt-4o
-    litellm_params:
-      model: openai/gpt-4o
-      api_key: sk-xxxxxxx
-
-mcp_servers:
-  {
-    "zapier_mcp": {
-      "url": "https://actions.zapier.com/mcp/sk-akxxxxx/sse"
-    },
-    "fetch": {
-      "url": "http://localhost:8000/sse"
-    }
-  }
-```
-
-
-#### 2. Start LiteLLM Gateway
-
-<Tabs>
-<TabItem value="docker" label="Docker Run">
-
-```shell title="Docker Run" showLineNumbers
-docker run -d \
-  -p 4000:4000 \
-  -e OPENAI_API_KEY=$OPENAI_API_KEY \
-  --name my-app \
-  -v $(pwd)/my_config.yaml:/app/config.yaml \
-  my-app:latest \
-  --config /app/config.yaml \
-  --port 4000 \
-  --detailed_debug \
-```
-
-</TabItem>
-
-<TabItem value="py" label="litellm pip">
-
-```shell title="litellm pip" showLineNumbers
-litellm --config config.yaml --detailed_debug
-```
-
-</TabItem>
-</Tabs>
-
-
-#### 3. Make an LLM API request 
-
-In this example we will do the following:
-
-1. Use MCP client to list MCP tools on LiteLLM Proxy
-2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
-3. Provide the MCP tools to `gpt-4o`
-4. Handle tool call from `gpt-4o`
-5. Convert OpenAI tool call to MCP tool call
-6. Execute tool call on MCP server
-
-```python title="MCP Client List Tools" showLineNumbers
-import asyncio
-from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletionUserMessageParam
-from mcp import ClientSession
-from mcp.client.sse import sse_client
-from litellm.experimental_mcp_client.tools import (
-    transform_mcp_tool_to_openai_tool,
-    transform_openai_tool_call_request_to_mcp_tool_call_request,
-)
-
-
-async def main():
-    # Initialize clients
-    
-    # point OpenAI client to LiteLLM Proxy
-    client = AsyncOpenAI(api_key="sk-1234", base_url="http://localhost:4000")
-
-    # Point MCP client to LiteLLM Proxy
-    async with sse_client("http://localhost:4000/mcp/") as (read, write):
-        async with ClientSession(read, write) as session:
-            await session.initialize()
-
-            # 1. List MCP tools on LiteLLM Proxy
-            mcp_tools = await session.list_tools()
-            print("List of MCP tools for MCP server:", mcp_tools.tools)
-
-            # Create message
-            messages = [
-                ChatCompletionUserMessageParam(
-                    content="Send an email about LiteLLM supporting MCP", role="user"
-                )
-            ]
-
-            # 2. Use `transform_mcp_tool_to_openai_tool` to convert MCP tools to OpenAI tools
-            # Since OpenAI only supports tools in the OpenAI format, we need to convert the MCP tools to the OpenAI format.
-            openai_tools = [
-                transform_mcp_tool_to_openai_tool(tool) for tool in mcp_tools.tools
-            ]
-
-            # 3. Provide the MCP tools to `gpt-4o`
-            response = await client.chat.completions.create(
-                model="gpt-4o",
-                messages=messages,
-                tools=openai_tools,
-                tool_choice="auto",
-            )
-
-            # 4. Handle tool call from `gpt-4o`
-            if response.choices[0].message.tool_calls:
-                tool_call = response.choices[0].message.tool_calls[0]
-                if tool_call:
-
-                    # 5. Convert OpenAI tool call to MCP tool call
-                    # Since MCP servers expect tools in the MCP format, we need to convert the OpenAI tool call to the MCP format.
-                    # This is done using litellm.experimental_mcp_client.tools.transform_openai_tool_call_request_to_mcp_tool_call_request
-                    mcp_call = (
-                        transform_openai_tool_call_request_to_mcp_tool_call_request(
-                            openai_tool=tool_call.model_dump()
-                        )
-                    )
-
-                    # 6. Execute tool call on MCP server
-                    result = await session.call_tool(
-                        name=mcp_call.name, arguments=mcp_call.arguments
-                    )
-
-                    print("Result:", result)
-
-
-# Run it
-asyncio.run(main())
-```
+</Tabs>
\ No newline at end of file
diff --git a/docs/my-website/img/mcp_2.png b/docs/my-website/img/mcp_2.png
new file mode 100644
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From 31082344a48b7e140d895dc0799f49571f715bf7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Sat, 29 Mar 2025 23:08:20 -0700
Subject: [PATCH 239/244] docs release notes

---
 docs/my-website/img/release_notes/mcp_ui.png  | Bin 95583 -> 242727 bytes
 .../my-website/img/release_notes/ui_usage.png | Bin 0 -> 67886 bytes
 .../release_notes/v1.65.0-stable/index.md     |  67 +++++++++++++++---
 3 files changed, 56 insertions(+), 11 deletions(-)
 create mode 100644 docs/my-website/img/release_notes/ui_usage.png

diff --git a/docs/my-website/img/release_notes/mcp_ui.png b/docs/my-website/img/release_notes/mcp_ui.png
index 6731fba71be9802379cae96b9c7758fad3525811..8f4cd4ea1985af23fd9cd00f3f1daf2266b43dc3 100644
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diff --git a/docs/my-website/release_notes/v1.65.0-stable/index.md b/docs/my-website/release_notes/v1.65.0-stable/index.md
index 36e571be93..ec5f3bd441 100644
--- a/docs/my-website/release_notes/v1.65.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.65.0-stable/index.md
@@ -18,12 +18,7 @@ import Image from '@theme/IdealImage';
 
 v1.65.0-stable is live now. Here are the key highlights of this release:
 - **MCP Support**: Support for adding and using MCP servers on the LiteLLM proxy.
-- **Custom Prompt Management**: Connect LiteLLM to your prompt management system with custom hooks.
-
-
-
-
-
+- **UI view total usage after 1M+ logs**: You can now view usage analytics after crossing 1M+ logs in DB. 
 
 ## Model Context Protocol (MCP)
 
@@ -39,21 +34,71 @@ Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
   Expose and use MCP servers through LiteLLM
 </p>
 
-## Custom Prompt Management
+## UI view total usage after 1M+ logs
 
-This release allows you to connect LiteLLM to any prompt management service through our custom prompt management hooks. As proxy admin all you need to do is implement a `get_chat_completion_prompt` hook which accepts a prompt_id and prompt_variables and returns a formatted prompt.
+This release brings the ability to view total usage analytics even after exceeding 1M+ logs in your database. We've implemented a scalable architecture that stores only aggregate usage data, resulting in significantly more efficient queries and reduced database CPU utilization.
 
-Read more about custom prompt management [here](https://docs.litellm.ai/docs/proxy/custom_prompt_management).
 
 <Image 
-  img={require('../../img/custom_prompt_management.png')}
+  img={require('../../img/release_notes/ui_usage.png')}
   style={{width: '100%', display: 'block', margin: '2rem auto'}}
 />
 <p style={{textAlign: 'left', color: '#666'}}>
-  Connect LiteLLM to your prompt management service through custom hooks
+  View total usage after 1M+ logs
 </p>
 
 
+- How this works:
+    - We now aggregate usage data into a dedicated DailyUserSpend table, significantly reducing query load and CPU usage even beyond 1M+ logs.
+
+- Daily Spend Breakdown API:
+
+    - Retrieve granular daily usage data (by model, provider, and API key) with a single endpoint.
+    Example Request:
+
+    ```shell title="Daily Spend Breakdown API" showLineNumbers
+    curl -L -X GET 'http://localhost:4000/user/daily/activity?start_date=2025-03-20&end_date=2025-03-27' \
+    -H 'Authorization: Bearer sk-...'
+    ```
+
+    ```json title="Daily Spend Breakdown API Response" showLineNumbers
+    {
+        "results": [
+            {
+                "date": "2025-03-27",
+                "metrics": {
+                    "spend": 0.0177072,
+                    "prompt_tokens": 111,
+                    "completion_tokens": 1711,
+                    "total_tokens": 1822,
+                    "api_requests": 11
+                },
+                "breakdown": {
+                    "models": {
+                        "gpt-4o-mini": {
+                            "spend": 1.095e-05,
+                            "prompt_tokens": 37,
+                            "completion_tokens": 9,
+                            "total_tokens": 46,
+                            "api_requests": 1
+                    },
+                    "providers": { "openai": { ... }, "azure_ai": { ... } },
+                    "api_keys": { "3126b6eaf1...": { ... } }
+                }
+            }
+        ],
+        "metadata": {
+            "total_spend": 0.7274667,
+            "total_prompt_tokens": 280990,
+            "total_completion_tokens": 376674,
+            "total_api_requests": 14
+        }
+    }
+    ```
+
+
+
+
 ## New Models / Updated Models
 - Support for Vertex AI gemini-2.0-flash-lite & Google AI Studio gemini-2.0-flash-lite [PR](https://github.com/BerriAI/litellm/pull/9523)
 - Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)

From da953c74a1d331cb65be595c78c4bbde09ce1f75 Mon Sep 17 00:00:00 2001
From: jmarshall-medallia
 <110042657+jmarshall-medallia@users.noreply.github.com>
Date: Sun, 30 Mar 2025 03:38:54 -0300
Subject: [PATCH 240/244] Add password to sync sentinel client (#9622)

---
 litellm/_redis.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/litellm/_redis.py b/litellm/_redis.py
index 5b2f85b1af..5c3e7776d6 100644
--- a/litellm/_redis.py
+++ b/litellm/_redis.py
@@ -202,6 +202,7 @@ def init_redis_cluster(redis_kwargs) -> redis.RedisCluster:
 
 def _init_redis_sentinel(redis_kwargs) -> redis.Redis:
     sentinel_nodes = redis_kwargs.get("sentinel_nodes")
+    sentinel_password = redis_kwargs.get("sentinel_password")
     service_name = redis_kwargs.get("service_name")
 
     if not sentinel_nodes or not service_name:
@@ -212,7 +213,11 @@ def _init_redis_sentinel(redis_kwargs) -> redis.Redis:
     verbose_logger.debug("init_redis_sentinel: sentinel nodes are being initialized.")
 
     # Set up the Sentinel client
-    sentinel = redis.Sentinel(sentinel_nodes, socket_timeout=0.1)
+    sentinel = redis.Sentinel(
+        sentinel_nodes, 
+        socket_timeout=0.1,
+        password=sentinel_password,
+    )
 
     # Return the master instance for the given service
 

From a8673246dc5c86f526d845e92ddc2d8469993137 Mon Sep 17 00:00:00 2001
From: Sam <sammcj@users.noreply.github.com>
Date: Sun, 30 Mar 2025 17:40:34 +1100
Subject: [PATCH 241/244] fix: Anthropic prompt caching on GCP Vertex AI
 (#9605)

* fix: Anthropic prompt caching on GCP Vertex AI

* test(vertex): anthropic prompt caching
---
 litellm/llms/anthropic/chat/transformation.py |  10 +-
 .../test_vertex_anthropic_prompt_caching.py   | 137 ++++++++++++++++++
 2 files changed, 145 insertions(+), 2 deletions(-)
 create mode 100644 tests/litellm/llms/vertex_ai/test_vertex_anthropic_prompt_caching.py

diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index a8f36cdcad..0780f5b4d4 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -141,9 +141,15 @@ class AnthropicConfig(BaseConfig):
         if user_anthropic_beta_headers is not None:
             betas.update(user_anthropic_beta_headers)
 
-        # Don't send any beta headers to Vertex, Vertex has failed requests when they are sent
+        # Handle beta headers for Vertex AI
+        # We allow prompt caching beta header for Vertex, but exclude other beta headers that might cause issues
         if is_vertex_request is True:
-            pass
+            vertex_safe_betas = set()
+            # Allow prompt caching beta header for Vertex
+            if "prompt-caching-2024-07-31" in betas:
+                vertex_safe_betas.add("prompt-caching-2024-07-31")
+            if len(vertex_safe_betas) > 0:
+                headers["anthropic-beta"] = ",".join(vertex_safe_betas)
         elif len(betas) > 0:
             headers["anthropic-beta"] = ",".join(betas)
 
diff --git a/tests/litellm/llms/vertex_ai/test_vertex_anthropic_prompt_caching.py b/tests/litellm/llms/vertex_ai/test_vertex_anthropic_prompt_caching.py
new file mode 100644
index 0000000000..c417451921
--- /dev/null
+++ b/tests/litellm/llms/vertex_ai/test_vertex_anthropic_prompt_caching.py
@@ -0,0 +1,137 @@
+import os
+import sys
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../../../..")
+)  # Adds the parent directory to the system path
+
+from litellm.llms.anthropic.chat.transformation import AnthropicConfig
+
+
+def test_anthropic_prompt_caching_headers_for_vertex():
+    """
+    Test that the prompt caching beta header is correctly set for Vertex AI requests
+    with Anthropic models when cache control is present in the messages.
+    """
+    # Create an instance of AnthropicConfig
+    config = AnthropicConfig()
+
+    # Test case 1: Vertex request with prompt caching
+    # Create a message with cache control
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a helpful assistant.",
+            "cache_control": {"type": "ephemeral"}
+        },
+        {
+            "role": "user",
+            "content": "Tell me about the solar system."
+        }
+    ]
+
+    # Check if cache control is detected
+    is_cache_control_set = config.is_cache_control_set(messages=messages)
+    assert is_cache_control_set is True, "Cache control should be detected in messages"
+
+    # Generate headers for a Vertex AI request with prompt caching
+    headers = config.get_anthropic_headers(
+        api_key="test-api-key",
+        prompt_caching_set=is_cache_control_set,
+        is_vertex_request=True
+    )
+
+    # Verify that the anthropic-beta header is set with prompt-caching-2024-07-31
+    assert "anthropic-beta" in headers, "anthropic-beta header should be present"
+    assert "prompt-caching-2024-07-31" in headers["anthropic-beta"], "prompt-caching-2024-07-31 should be in the beta header"
+
+    # Test case 2: Vertex request without prompt caching
+    messages_without_cache = [
+        {
+            "role": "system",
+            "content": "You are a helpful assistant."
+        },
+        {
+            "role": "user",
+            "content": "Tell me about the solar system."
+        }
+    ]
+
+    # Check if cache control is detected
+    is_cache_control_set = config.is_cache_control_set(messages=messages_without_cache)
+    assert is_cache_control_set is False, "Cache control should not be detected in messages"
+
+    # Generate headers for a Vertex AI request without prompt caching
+    headers = config.get_anthropic_headers(
+        api_key="test-api-key",
+        prompt_caching_set=is_cache_control_set,
+        is_vertex_request=True
+    )
+
+    # Verify that the anthropic-beta header is not set
+    assert "anthropic-beta" not in headers, "anthropic-beta header should not be present"
+
+
+def test_anthropic_prompt_caching_with_content_blocks():
+    """
+    Test that prompt caching is correctly detected when cache control is in content blocks.
+    """
+    config = AnthropicConfig()
+
+    # Message with cache control in content blocks
+    messages = [
+        {
+            "role": "system",
+            "content": [
+                {
+                    "type": "text",
+                    "text": "You are a helpful assistant.",
+                    "cache_control": {"type": "ephemeral"}
+                }
+            ]
+        },
+        {
+            "role": "user",
+            "content": "Tell me about the solar system."
+        }
+    ]
+
+    # Check if cache control is detected
+    is_cache_control_set = config.is_cache_control_set(messages=messages)
+    assert is_cache_control_set is True, "Cache control should be detected in content blocks"
+
+    # Generate headers for a Vertex AI request with prompt caching
+    headers = config.get_anthropic_headers(
+        api_key="test-api-key",
+        prompt_caching_set=is_cache_control_set,
+        is_vertex_request=True
+    )
+
+    # Verify that the anthropic-beta header is set with prompt-caching-2024-07-31
+    assert "anthropic-beta" in headers, "anthropic-beta header should be present"
+    assert "prompt-caching-2024-07-31" in headers["anthropic-beta"], "prompt-caching-2024-07-31 should be in the beta header"
+
+
+def test_anthropic_vertex_other_beta_headers():
+    """
+    Test that other beta headers are not included for Vertex AI requests.
+    """
+    config = AnthropicConfig()
+
+    # Generate headers with multiple beta features
+    headers = config.get_anthropic_headers(
+        api_key="test-api-key",
+        prompt_caching_set=True,
+        computer_tool_used=True,  # This should be excluded for Vertex
+        pdf_used=True,  # This should be excluded for Vertex
+        is_vertex_request=True
+    )
+
+    # Verify that only prompt-caching is included in the beta header
+    assert "anthropic-beta" in headers, "anthropic-beta header should be present"
+    assert headers["anthropic-beta"] == "prompt-caching-2024-07-31", "Only prompt-caching should be in the beta header"
+    assert "computer-use-2024-10-22" not in headers["anthropic-beta"], "computer-use beta should not be included"
+    assert "pdfs-2024-09-25" not in headers["anthropic-beta"], "pdfs beta should not be included"

From 69db775e73f082a5b57c763c192acc094ba89937 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sun, 30 Mar 2025 00:28:45 -0700
Subject: [PATCH 242/244] docs(vertex.md): update docs to show 'file' message
 usage

---
 docs/my-website/docs/providers/gemini.md | 20 +++++++----
 docs/my-website/docs/providers/vertex.md | 44 +++++++++++++++---------
 2 files changed, 42 insertions(+), 22 deletions(-)

diff --git a/docs/my-website/docs/providers/gemini.md b/docs/my-website/docs/providers/gemini.md
index 4a6cfdf1a3..8171a9dd04 100644
--- a/docs/my-website/docs/providers/gemini.md
+++ b/docs/my-website/docs/providers/gemini.md
@@ -589,8 +589,10 @@ response = litellm.completion(
             "content": [
                 {"type": "text", "text": "Please summarize the audio."},
                 {
-                    "type": "image_url",
-                    "image_url": "data:audio/mp3;base64,{}".format(encoded_data), # 👈 SET MIME_TYPE + DATA
+                    "type": "file",
+                    "file": {
+                        "file_data": "data:audio/mp3;base64,{}".format(encoded_data), # 👈 SET MIME_TYPE + DATA
+                    }
                 },
             ],
         }
@@ -640,8 +642,11 @@ response = litellm.completion(
             "content": [
                 {"type": "text", "text": "Please summarize the file."},
                 {
-                    "type": "image_url",
-                    "image_url": "https://storage..." # 👈 SET THE IMG URL
+                    "type": "file",
+                    "file": {
+                        "file_id": "https://storage...", # 👈 SET THE IMG URL
+                        "format": "application/pdf" # OPTIONAL
+                    }
                 },
             ],
         }
@@ -668,8 +673,11 @@ response = litellm.completion(
             "content": [
                 {"type": "text", "text": "Please summarize the file."},
                 {
-                    "type": "image_url",
-                    "image_url": "gs://..." # 👈 SET THE cloud storage bucket url
+                    "type": "file",
+                    "file": {
+                        "file_id": "gs://storage...", # 👈 SET THE IMG URL
+                        "format": "application/pdf" # OPTIONAL
+                    }
                 },
             ],
         }
diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 103cc07ef5..2865a82ce1 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1720,23 +1720,25 @@ assert isinstance(
 ```
 
 
-## Usage - PDF / Videos / etc. Files 
+## Usage - PDF / Videos / Audio etc. Files 
 
 Pass any file supported by Vertex AI, through LiteLLM. 
 
-LiteLLM Supports the following image types passed in url
+LiteLLM Supports the following file types passed in url. 
+
+Using `file` message type for VertexAI is live from v1.65.1+ 
 
 ```
-Images with Cloud Storage URIs - gs://cloud-samples-data/generative-ai/image/boats.jpeg
-Images with direct links - https://storage.googleapis.com/github-repo/img/gemini/intro/landmark3.jpg
+Files with Cloud Storage URIs - gs://cloud-samples-data/generative-ai/image/boats.jpeg
+Files with direct links - https://storage.googleapis.com/github-repo/img/gemini/intro/landmark3.jpg
 Videos with Cloud Storage URIs - https://storage.googleapis.com/github-repo/img/gemini/multimodality_usecases_overview/pixel8.mp4
-Base64 Encoded Local Images
+Base64 Encoded Local Files
 ```
 
 <Tabs>
 <TabItem value="sdk" label="SDK">
 
-### **Using `gs://`**
+### **Using `gs://` or any URL**
 ```python
 from litellm import completion
 
@@ -1748,8 +1750,11 @@ response = completion(
             "content": [
                 {"type": "text", "text": "You are a very professional document summarization specialist. Please summarize the given document."},
                 {
-                    "type": "image_url",
-                    "image_url": "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf", # 👈 PDF
+                    "type": "file",
+                    "file": {
+                        "file_id": "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf",
+                        "format": "application/pdf" # OPTIONAL - specify mime-type
+                    }
                 },
             ],
         }
@@ -1783,8 +1788,10 @@ response = completion(
             "content": [
                 {"type": "text", "text": "You are a very professional document summarization specialist. Please summarize the given document."},
                 {
-                    "type": "image_url",
-                    "image_url": f"data:application/pdf;base64,{encoded_file}", # 👈 PDF
+                    "type": "file",
+                    "file": {
+                        "file_data": f"data:application/pdf;base64,{encoded_file}", # 👈 PDF
+                    }  
                 },
             ],
         }
@@ -1830,8 +1837,11 @@ curl http://0.0.0.0:4000/v1/chat/completions \
             "text": "You are a very professional document summarization specialist. Please summarize the given document"
           },
           {
-                "type": "image_url",
-                "image_url": "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf" # 👈 PDF
+                "type": "file",
+                "file": {
+                    "file_id": "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf",
+                    "format": "application/pdf" # OPTIONAL
+                }
             }
           }
         ]
@@ -1858,10 +1868,11 @@ curl http://0.0.0.0:4000/v1/chat/completions \
             "text": "You are a very professional document summarization specialist. Please summarize the given document"
           },
           {
-                "type": "image_url",
-                "image_url": "data:application/pdf;base64,{encoded_file}" # 👈 PDF
-            }
-          }
+                "type": "file",
+                "file": {
+                    "file_data": f"data:application/pdf;base64,{encoded_file}", # 👈 PDF
+                }  
+            },
         ]
       }
     ],
@@ -1872,6 +1883,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
 </TabItem>
 </Tabs>
 
+
 ## Chat Models
 | Model Name       | Function Call                        |
 |------------------|--------------------------------------|

From 17ad8a04175402b71bbb3f67c9d8e5ff248c5228 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Sun, 30 Mar 2025 00:40:23 -0700
Subject: [PATCH 243/244] docs: cleanup docs

---
 docs/my-website/docs/providers/vertex.md | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 2865a82ce1..ab13a51137 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -1793,6 +1793,12 @@ response = completion(
                         "file_data": f"data:application/pdf;base64,{encoded_file}", # 👈 PDF
                     }  
                 },
+                {
+                    "type": "audio_input",
+                    "audio_input {
+                        "audio_input": f"data:audio/mp3;base64,{encoded_file}", # 👈 AUDIO File ('file' message works as too)
+                    }  
+                },
             ],
         }
     ],
@@ -1871,9 +1877,15 @@ curl http://0.0.0.0:4000/v1/chat/completions \
                 "type": "file",
                 "file": {
                     "file_data": f"data:application/pdf;base64,{encoded_file}", # 👈 PDF
+                },
+            },
+            {
+                "type": "audio_input",
+                "audio_input {
+                    "audio_input": f"data:audio/mp3;base64,{encoded_file}", # 👈 AUDIO File ('file' message works as too)
                 }  
             },
-        ]
+    ]
       }
     ],
     "max_tokens": 300

From ce5f55d04e392e33f96a36ddce492d8cd1e7d9da Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Mon, 31 Mar 2025 14:20:47 -0700
Subject: [PATCH 244/244] test fix update spend

---
 tests/proxy_unit_tests/test_update_spend.py | 43 ++++++++++++++-------
 1 file changed, 30 insertions(+), 13 deletions(-)

diff --git a/tests/proxy_unit_tests/test_update_spend.py b/tests/proxy_unit_tests/test_update_spend.py
index 36965cafa7..641768a7d2 100644
--- a/tests/proxy_unit_tests/test_update_spend.py
+++ b/tests/proxy_unit_tests/test_update_spend.py
@@ -20,7 +20,12 @@ from litellm.proxy.utils import update_spend, DB_CONNECTION_ERROR_TYPES
 
 class MockPrismaClient:
     def __init__(self):
-        self.db = MagicMock()
+        # Create AsyncMock for db operations
+        self.db = AsyncMock()
+        self.db.litellm_spendlogs = AsyncMock()
+        self.db.litellm_spendlogs.create_many = AsyncMock()
+        
+        # Initialize transaction lists
         self.spend_log_transactions = []
         self.user_list_transactons = {}
         self.end_user_list_transactons = {}
@@ -33,6 +38,20 @@ class MockPrismaClient:
     def jsonify_object(self, obj):
         return obj
 
+    def add_spend_log_transaction_to_daily_user_transaction(self, payload):
+        # Mock implementation
+        pass
+
+
+def create_mock_proxy_logging():
+    print("creating mock proxy logging")
+    proxy_logging_obj = MagicMock()
+    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj.db_spend_update_writer = AsyncMock()
+    proxy_logging_obj.db_spend_update_writer.db_update_spend_transaction_handler = AsyncMock()
+    print("returning proxy logging obj")
+    return proxy_logging_obj
+
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
@@ -47,8 +66,11 @@ async def test_update_spend_logs_connection_errors(error_type):
     """Test retry mechanism for different connection error types"""
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
+    
+    # Create AsyncMock for db_spend_update_writer
+    proxy_logging_obj.db_spend_update_writer = AsyncMock()
+    proxy_logging_obj.db_spend_update_writer.db_update_spend_transaction_handler = AsyncMock()
 
     # Add test spend logs
     prisma_client.spend_log_transactions = [
@@ -90,8 +112,7 @@ async def test_update_spend_logs_max_retries_exceeded(error_type):
     """Test that each connection error type properly fails after max retries"""
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
 
     # Add test spend logs
     prisma_client.spend_log_transactions = [
@@ -123,8 +144,7 @@ async def test_update_spend_logs_non_connection_error():
     """Test handling of non-connection related errors"""
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
 
     # Add test spend logs
     prisma_client.spend_log_transactions = [
@@ -155,8 +175,7 @@ async def test_update_spend_logs_exponential_backoff():
     """Test that exponential backoff is working correctly"""
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
 
     # Add test spend logs
     prisma_client.spend_log_transactions = [{"id": "1", "spend": 10}]
@@ -198,8 +217,7 @@ async def test_update_spend_logs_multiple_batches_success():
     """
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
 
     # Create 150 test spend logs (1.5x BATCH_SIZE)
     prisma_client.spend_log_transactions = [
@@ -245,8 +263,7 @@ async def test_update_spend_logs_multiple_batches_with_failure():
     """
     # Setup
     prisma_client = MockPrismaClient()
-    proxy_logging_obj = MagicMock()
-    proxy_logging_obj.failure_handler = AsyncMock()
+    proxy_logging_obj = create_mock_proxy_logging()
 
     # Create 400 test spend logs (4x BATCH_SIZE)
     prisma_client.spend_log_transactions = [