diff --git a/.circleci/config.yml b/.circleci/config.yml
index 4306fa5cf0..779f302c94 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -95,11 +95,11 @@ jobs:
pip install opentelemetry-api==1.25.0
pip install opentelemetry-sdk==1.25.0
pip install opentelemetry-exporter-otlp==1.25.0
- pip install openai==1.68.2
+ pip install openai==1.81.0
pip install prisma==0.11.0
pip install "detect_secrets==1.5.0"
pip install "httpx==0.24.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install fastapi
pip install "gunicorn==21.2.0"
pip install "anyio==4.2.0"
@@ -218,11 +218,11 @@ jobs:
pip install opentelemetry-api==1.25.0
pip install opentelemetry-sdk==1.25.0
pip install opentelemetry-exporter-otlp==1.25.0
- pip install openai==1.68.2
+ pip install openai==1.81.0
pip install prisma==0.11.0
pip install "detect_secrets==1.5.0"
pip install "httpx==0.24.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install fastapi
pip install "gunicorn==21.2.0"
pip install "anyio==4.2.0"
@@ -325,11 +325,11 @@ jobs:
pip install opentelemetry-api==1.25.0
pip install opentelemetry-sdk==1.25.0
pip install opentelemetry-exporter-otlp==1.25.0
- pip install openai==1.68.2
+ pip install openai==1.81.0
pip install prisma==0.11.0
pip install "detect_secrets==1.5.0"
pip install "httpx==0.24.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install fastapi
pip install "gunicorn==21.2.0"
pip install "anyio==4.2.0"
@@ -454,7 +454,7 @@ jobs:
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
pip install "pytest==7.3.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install "pytest-cov==5.0.0"
pip install "pytest-retry==1.6.3"
pip install "pytest-asyncio==0.21.1"
@@ -581,11 +581,11 @@ jobs:
pip install opentelemetry-api==1.25.0
pip install opentelemetry-sdk==1.25.0
pip install opentelemetry-exporter-otlp==1.25.0
- pip install openai==1.68.2
+ pip install openai==1.81.0
pip install prisma==0.11.0
pip install "detect_secrets==1.5.0"
pip install "httpx==0.24.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install fastapi
pip install "gunicorn==21.2.0"
pip install "anyio==4.2.0"
@@ -657,7 +657,7 @@ jobs:
pip install --upgrade pip wheel setuptools
python -m pip install -r requirements.txt
pip install "pytest==7.3.1"
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install "pytest-retry==1.6.3"
pip install "pytest-asyncio==0.21.1"
pip install "pytest-cov==5.0.0"
@@ -703,7 +703,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
- run:
name: Show current pydantic version
command: |
@@ -740,7 +740,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
# Run pytest and generate JUnit XML report
- run:
name: Run tests
@@ -783,7 +783,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
pip install "pydantic==2.10.2"
pip install "mcp==1.5.0"
# Run pytest and generate JUnit XML report
@@ -828,7 +828,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
pip install "pydantic==2.10.2"
pip install "boto3==1.34.34"
# Run pytest and generate JUnit XML report
@@ -873,7 +873,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
# Run pytest and generate JUnit XML report
- run:
name: Run tests
@@ -917,20 +917,28 @@ jobs:
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"
+ pip install "respx==0.22.0"
pip install "hypercorn==0.17.3"
pip install "pydantic==2.10.2"
pip install "mcp==1.5.0"
pip install "requests-mock>=1.12.1"
pip install "responses==0.25.7"
+ pip install "pytest-xdist==3.6.1"
- setup_litellm_enterprise_pip
# Run pytest and generate JUnit XML report
- run:
- name: Run tests
+ name: Run litellm tests
command: |
pwd
ls
- python -m pytest -vv tests/litellm tests/enterprise --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=10
+ python -m pytest -vv tests/litellm --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit-litellm.xml --durations=10 -n 4
+ no_output_timeout: 120m
+ - run:
+ name: Run enterprise tests
+ command: |
+ pwd
+ ls
+ python -m pytest -vv tests/enterprise --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit-enterprise.xml --durations=10 -n 4
no_output_timeout: 120m
- run:
name: Rename the coverage files
@@ -962,7 +970,7 @@ jobs:
command: |
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install "pytest==7.3.1"
pip install "pytest-retry==1.6.3"
pip install "pytest-asyncio==0.21.1"
@@ -1008,7 +1016,7 @@ jobs:
python -m pip install --upgrade pip
pip install numpydoc
python -m pip install -r requirements.txt
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install "pytest==7.3.1"
pip install "pytest-retry==1.6.3"
pip install "pytest-asyncio==0.21.1"
@@ -1058,7 +1066,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
# Run pytest and generate JUnit XML report
- run:
name: Run tests
@@ -1101,7 +1109,7 @@ jobs:
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"
+ pip install "respx==0.22.0"
# Run pytest and generate JUnit XML report
- run:
name: Run tests
@@ -1145,10 +1153,11 @@ jobs:
pip install "pytest-cov==5.0.0"
pip install "pytest-asyncio==0.21.1"
pip install pytest-mock
- pip install "respx==0.21.1"
+ pip install "respx==0.22.0"
pip install "google-generativeai==0.3.2"
pip install "google-cloud-aiplatform==1.43.0"
pip install "mlflow==2.17.2"
+ pip install "anthropic==0.52.0"
# Run pytest and generate JUnit XML report
- setup_litellm_enterprise_pip
- run:
@@ -1340,6 +1349,7 @@ jobs:
- run: python ./tests/code_coverage_tests/enforce_llms_folder_style.py
- run: python ./tests/documentation_tests/test_circular_imports.py
- run: python ./tests/code_coverage_tests/prevent_key_leaks_in_exceptions.py
+ - run: python ./tests/code_coverage_tests/check_unsafe_enterprise_import.py
- run: helm lint ./deploy/charts/litellm-helm
db_migration_disable_update_check:
@@ -1472,7 +1482,7 @@ jobs:
pip install "aiodynamo==23.10.1"
pip install "asyncio==3.4.3"
pip install "PyGithub==1.59.1"
- pip install "openai==1.68.2"
+ pip install "openai==1.81.0"
- run:
name: Install Grype
command: |
@@ -1610,7 +1620,7 @@ jobs:
pip install "aiodynamo==23.10.1"
pip install "asyncio==3.4.3"
pip install "PyGithub==1.59.1"
- pip install "openai==1.68.2"
+ pip install "openai==1.81.0"
# Run pytest and generate JUnit XML report
- run:
name: Build Docker image
@@ -1733,7 +1743,7 @@ jobs:
pip install "aiodynamo==23.10.1"
pip install "asyncio==3.4.3"
pip install "PyGithub==1.59.1"
- pip install "openai==1.68.2"
+ pip install "openai==1.81.0"
- run:
name: Build Docker image
command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
@@ -2256,7 +2266,7 @@ jobs:
pip install "pytest-asyncio==0.21.1"
pip install "google-cloud-aiplatform==1.43.0"
pip install aiohttp
- pip install "openai==1.68.2"
+ pip install "openai==1.81.0"
pip install "assemblyai==0.37.0"
python -m pip install --upgrade pip
pip install "pydantic==2.10.2"
@@ -2275,7 +2285,7 @@ jobs:
pip install "asyncio==3.4.3"
pip install "PyGithub==1.59.1"
pip install "google-cloud-aiplatform==1.59.0"
- pip install "anthropic==0.49.0"
+ pip install "anthropic==0.52.0"
pip install "langchain_mcp_adapters==0.0.5"
pip install "langchain_openai==0.2.1"
pip install "langgraph==0.3.18"
@@ -2644,7 +2654,7 @@ jobs:
pip install "pytest-retry==1.6.3"
pip install "pytest-asyncio==0.21.1"
pip install aiohttp
- pip install "openai==1.68.2"
+ pip install "openai==1.81.0"
python -m pip install --upgrade pip
pip install "pydantic==2.10.2"
pip install "pytest==7.3.1"
diff --git a/.circleci/requirements.txt b/.circleci/requirements.txt
index 0e2362c4e3..b720d15a7f 100644
--- a/.circleci/requirements.txt
+++ b/.circleci/requirements.txt
@@ -1,5 +1,5 @@
# used by CI/CD testing
-openai==1.68.2
+openai==1.81.0
python-dotenv
tiktoken
importlib_metadata
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
index 72943d0e6a..13a2132ec9 100644
--- a/.github/ISSUE_TEMPLATE/feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -23,10 +23,10 @@ body:
validations:
required: true
- type: dropdown
- id: ml-ops-team
+ id: hiring-interest
attributes:
- label: Are you a ML Ops Team?
- description: This helps us prioritize your requests correctly
+ label: LiteLLM is hiring a founding backend engineer, are you interested in joining us and shipping to all our users?
+ description: If yes, apply here - https://www.ycombinator.com/companies/litellm/jobs/6uvoBp3-founding-backend-engineer
options:
- "No"
- "Yes"
diff --git a/.github/workflows/ghcr_deploy.yml b/.github/workflows/ghcr_deploy.yml
index 3fc710ad22..e702313887 100644
--- a/.github/workflows/ghcr_deploy.yml
+++ b/.github/workflows/ghcr_deploy.yml
@@ -115,7 +115,8 @@ jobs:
${{ steps.meta.outputs.tags }}-${{ github.event.inputs.tag || 'latest' }},
${{ steps.meta.outputs.tags }}-${{ github.event.inputs.release_type }}
${{ github.event.inputs.release_type == 'stable' && format('{0}/berriai/litellm:main-{1}', env.REGISTRY, github.event.inputs.tag) || '' }},
- ${{ github.event.inputs.release_type == 'stable' && format('{0}/berriai/litellm:main-stable', env.REGISTRY) || '' }}
+ ${{ github.event.inputs.release_type == 'stable' && format('{0}/berriai/litellm:main-stable', env.REGISTRY) || '' }},
+ ${{ github.event.inputs.release_type == 'stable' && format('{0}/berriai/litellm:{1}', env.REGISTRY, github.event.inputs.tag) || '' }},
labels: ${{ steps.meta.outputs.labels }}
platforms: local,linux/amd64,linux/arm64,linux/arm64/v8
diff --git a/.github/workflows/test-linting.yml b/.github/workflows/test-linting.yml
index 0e1c895c3a..ceeedbe7e1 100644
--- a/.github/workflows/test-linting.yml
+++ b/.github/workflows/test-linting.yml
@@ -22,9 +22,9 @@ jobs:
- name: Install dependencies
run: |
- pip install openai==1.68.2
+ pip install openai==1.81.0
poetry install --with dev
- pip install openai==1.68.2
+ pip install openai==1.81.0
diff --git a/.github/workflows/test-litellm.yml b/.github/workflows/test-litellm.yml
index a2b9e6c7c3..db2ebb3cba 100644
--- a/.github/workflows/test-litellm.yml
+++ b/.github/workflows/test-litellm.yml
@@ -28,6 +28,7 @@ jobs:
- name: Install dependencies
run: |
poetry install --with dev,proxy-dev --extras proxy
+ poetry run pip install "pytest-retry==1.6.3"
poetry run pip install pytest-xdist
- name: Setup litellm-enterprise as local package
run: |
@@ -36,4 +37,4 @@ jobs:
cd ..
- name: Run tests
run: |
- poetry run pytest tests/litellm -x -vv -n 4
\ No newline at end of file
+ poetry run pytest tests/test_litellm -x -vv -n 4
\ No newline at end of file
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index d247c93c2f..dd98498e3b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -24,9 +24,9 @@ repos:
rev: 7.0.0 # The version of flake8 to use
hooks:
- id: flake8
- exclude: ^litellm/tests/|^litellm/proxy/tests/|^litellm/tests/litellm/|^tests/litellm/
+ exclude: ^litellm/tests/|^litellm/proxy/tests/|^litellm/tests/test_litellm/|^tests/test_litellm/
additional_dependencies: [flake8-print]
- files: (litellm/|litellm_proxy_extras/).*\.py
+ files: (litellm/|litellm_proxy_extras/|enterprise/).*\.py
- repo: https://github.com/python-poetry/poetry
rev: 1.8.0
hooks:
diff --git a/Dockerfile b/Dockerfile
index 3a74c46e68..b972aab096 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -51,7 +51,7 @@ FROM $LITELLM_RUNTIME_IMAGE AS runtime
USER root
# Install runtime dependencies
-RUN apk add --no-cache openssl
+RUN apk add --no-cache openssl tzdata
WORKDIR /app
# Copy the current directory contents into the container at /app
@@ -74,5 +74,5 @@ EXPOSE 4000/tcp
ENTRYPOINT ["docker/prod_entrypoint.sh"]
-# Append "--detailed_debug" to the end of CMD to view detailed debug logs
+# Append "--detailed_debug" to the end of CMD to view detailed debug logs
CMD ["--port", "4000"]
diff --git a/deploy/charts/litellm-helm/Chart.yaml b/deploy/charts/litellm-helm/Chart.yaml
index 5de591fd73..bd63ca6bfc 100644
--- a/deploy/charts/litellm-helm/Chart.yaml
+++ b/deploy/charts/litellm-helm/Chart.yaml
@@ -18,7 +18,7 @@ type: application
# This is the chart version. This version number should be incremented each time you make changes
# to the chart and its templates, including the app version.
# Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 0.4.3
+version: 0.4.4
# This is the version number of the application being deployed. This version number should be
# incremented each time you make changes to the application. Versions are not expected to
diff --git a/deploy/charts/litellm-helm/README.md b/deploy/charts/litellm-helm/README.md
index a0ba5781df..31bda3f7d7 100644
--- a/deploy/charts/litellm-helm/README.md
+++ b/deploy/charts/litellm-helm/README.md
@@ -34,6 +34,7 @@ If `db.useStackgresOperator` is used (not yet implemented):
| `serviceAccount.create` | Whether or not to create a Kubernetes Service Account for this deployment. The default is `false` because LiteLLM has no need to access the Kubernetes API. | `false` |
| `service.type` | Kubernetes Service type (e.g. `LoadBalancer`, `ClusterIP`, etc.) | `ClusterIP` |
| `service.port` | TCP port that the Kubernetes Service will listen on. Also the TCP port within the Pod that the proxy will listen on. | `4000` |
+| `service.loadBalancerClass` | Optional LoadBalancer implementation class (only used when `service.type` is `LoadBalancer`) | `""` |
| `ingress.*` | See [values.yaml](./values.yaml) for example settings | N/A |
| `proxy_config.*` | See [values.yaml](./values.yaml) for default settings. See [example_config_yaml](../../../litellm/proxy/example_config_yaml/) for configuration examples. | N/A |
| `extraContainers[]` | An array of additional containers to be deployed as sidecars alongside the LiteLLM Proxy. | `[]` |
diff --git a/deploy/charts/litellm-helm/templates/service.yaml b/deploy/charts/litellm-helm/templates/service.yaml
index d8d81e78c8..1181220892 100644
--- a/deploy/charts/litellm-helm/templates/service.yaml
+++ b/deploy/charts/litellm-helm/templates/service.yaml
@@ -10,6 +10,9 @@ metadata:
{{- include "litellm.labels" . | nindent 4 }}
spec:
type: {{ .Values.service.type }}
+ {{- if and (eq .Values.service.type "LoadBalancer") .Values.service.loadBalancerClass }}
+ loadBalancerClass: {{ .Values.service.loadBalancerClass }}
+ {{- end }}
ports:
- port: {{ .Values.service.port }}
targetPort: http
diff --git a/deploy/charts/litellm-helm/tests/service_tests.yaml b/deploy/charts/litellm-helm/tests/service_tests.yaml
new file mode 100644
index 0000000000..43ed0180bc
--- /dev/null
+++ b/deploy/charts/litellm-helm/tests/service_tests.yaml
@@ -0,0 +1,116 @@
+suite: Service Configuration Tests
+templates:
+ - service.yaml
+tests:
+ - it: should create a default ClusterIP service
+ template: service.yaml
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: spec.type
+ value: ClusterIP
+ - equal:
+ path: spec.ports[0].port
+ value: 4000
+ - equal:
+ path: spec.ports[0].targetPort
+ value: http
+ - equal:
+ path: spec.ports[0].protocol
+ value: TCP
+ - equal:
+ path: spec.ports[0].name
+ value: http
+ - isNull:
+ path: spec.loadBalancerClass
+
+ - it: should create a NodePort service when specified
+ template: service.yaml
+ set:
+ service.type: NodePort
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: spec.type
+ value: NodePort
+ - isNull:
+ path: spec.loadBalancerClass
+
+ - it: should create a LoadBalancer service when specified
+ template: service.yaml
+ set:
+ service.type: LoadBalancer
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: spec.type
+ value: LoadBalancer
+ - isNull:
+ path: spec.loadBalancerClass
+
+ - it: should add loadBalancerClass when specified with LoadBalancer type
+ template: service.yaml
+ set:
+ service.type: LoadBalancer
+ service.loadBalancerClass: tailscale
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: spec.type
+ value: LoadBalancer
+ - equal:
+ path: spec.loadBalancerClass
+ value: tailscale
+
+ - it: should not add loadBalancerClass when specified with ClusterIP type
+ template: service.yaml
+ set:
+ service.type: ClusterIP
+ service.loadBalancerClass: tailscale
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: spec.type
+ value: ClusterIP
+ - isNull:
+ path: spec.loadBalancerClass
+
+ - it: should use custom port when specified
+ template: service.yaml
+ set:
+ service.port: 8080
+ asserts:
+ - equal:
+ path: spec.ports[0].port
+ value: 8080
+
+ - it: should add service annotations when specified
+ template: service.yaml
+ set:
+ service.annotations:
+ cloud.google.com/load-balancer-type: "Internal"
+ service.beta.kubernetes.io/aws-load-balancer-internal: "true"
+ asserts:
+ - isKind:
+ of: Service
+ - equal:
+ path: metadata.annotations
+ value:
+ cloud.google.com/load-balancer-type: "Internal"
+ service.beta.kubernetes.io/aws-load-balancer-internal: "true"
+
+ - it: should use the correct selector labels
+ template: service.yaml
+ asserts:
+ - isNotNull:
+ path: spec.selector
+ - equal:
+ path: spec.selector
+ value:
+ app.kubernetes.io/name: litellm
+ app.kubernetes.io/instance: RELEASE-NAME
diff --git a/deploy/charts/litellm-helm/values.yaml b/deploy/charts/litellm-helm/values.yaml
index 0440e28eed..213db35a20 100644
--- a/deploy/charts/litellm-helm/values.yaml
+++ b/deploy/charts/litellm-helm/values.yaml
@@ -56,6 +56,9 @@ environmentConfigMaps: []
service:
type: ClusterIP
port: 4000
+ # If service type is `LoadBalancer` you can
+ # optionally specify loadBalancerClass
+ # loadBalancerClass: tailscale
ingress:
enabled: false
diff --git a/docker-compose.yml b/docker-compose.yml
index 2ef8488229..2e90d897f2 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -21,18 +21,13 @@ services:
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 # Indicates that this service depends on the 'db' service, ensuring 'db' starts first
+ healthcheck: # Defines the health check configuration for the container
+ test: [ "CMD-SHELL", "wget --no-verbose --tries=1 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
diff --git a/docs/my-website/docs/aiohttp_benchmarks.md b/docs/my-website/docs/aiohttp_benchmarks.md
new file mode 100644
index 0000000000..ebe1fbdbeb
--- /dev/null
+++ b/docs/my-website/docs/aiohttp_benchmarks.md
@@ -0,0 +1,38 @@
+# LiteLLM v1.71.1 Benchmarks
+
+## Overview
+
+This document presents performance benchmarks comparing LiteLLM's v1.71.1 to prior litellm versions.
+
+**Related PR:** [#11097](https://github.com/BerriAI/litellm/pull/11097)
+
+## Testing Methodology
+
+The load testing was conducted using the following parameters:
+- **Request Rate:** 200 RPS (Requests Per Second)
+- **User Ramp Up:** 200 concurrent users
+- **Transport Comparison:** httpx (existing) vs aiohttp (new implementation)
+- **Number of pods/instance of litellm:** 1
+- **Machine Specs:** 2 vCPUs, 4GB RAM
+- **LiteLLM Settings:**
+ - Tested against a [fake openai endpoint](https://exampleopenaiendpoint-production.up.railway.app/)
+ - Set `USE_AIOHTTP_TRANSPORT="True"` in the environment variables. This feature flag enables the aiohttp transport.
+
+
+## Benchmark Results
+
+| Metric | httpx (Existing) | aiohttp (LiteLLM v1.71.1) | Improvement | Calculation |
+|--------|------------------|-------------------|-------------|-------------|
+| **RPS** | 50.2 | 224 | **+346%** ✅ | (224 - 50.2) / 50.2 × 100 = 346% |
+| **Median Latency** | 2,500ms | 74ms | **-97%** ✅ | (74 - 2500) / 2500 × 100 = -97% |
+| **95th Percentile** | 5,600ms | 250ms | **-96%** ✅ | (250 - 5600) / 5600 × 100 = -96% |
+| **99th Percentile** | 6,200ms | 330ms | **-95%** ✅ | (330 - 6200) / 6200 × 100 = -95% |
+
+## Key Improvements
+
+- **4.5x increase** in requests per second (from 50.2 to 224 RPS)
+- **97% reduction** in median response time (from 2.5 seconds to 74ms)
+- **96% reduction** in 95th percentile latency (from 5.6 seconds to 250ms)
+- **95% reduction** in 99th percentile latency (from 6.2 seconds to 330ms)
+
+
diff --git a/docs/my-website/docs/benchmarks.md b/docs/my-website/docs/benchmarks.md
index c445ff303a..817d70b87c 100644
--- a/docs/my-website/docs/benchmarks.md
+++ b/docs/my-website/docs/benchmarks.md
@@ -7,13 +7,11 @@ Benchmarks for LiteLLM Gateway (Proxy Server) tested against a fake OpenAI endpo
Use this config for testing:
-**Note:** we're currently migrating to aiohttp which has 10x higher throughput. We recommend using the `aiohttp_openai/` provider for load testing.
-
```yaml
model_list:
- model_name: "fake-openai-endpoint"
litellm_params:
- model: aiohttp_openai/any
+ model: openai/any
api_base: https://your-fake-openai-endpoint.com/chat/completions
api_key: "test"
```
diff --git a/docs/my-website/docs/completion/input.md b/docs/my-website/docs/completion/input.md
index f975109424..fb0fc390ad 100644
--- a/docs/my-website/docs/completion/input.md
+++ b/docs/my-website/docs/completion/input.md
@@ -43,7 +43,7 @@ Use `litellm.get_supported_openai_params()` for an updated list of params for ea
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Anthropic| ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ | | | | | | |✅ | ✅ | | ✅ | ✅ | | | ✅ |
|OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ | ✅ |
-|Azure OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ | | | ✅ |
+|Azure OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ | ✅ |
|xAI| ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | |
|Replicate | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | |
|Anyscale | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
diff --git a/docs/my-website/docs/extras/contributing_code.md b/docs/my-website/docs/extras/contributing_code.md
index ee46a33095..747df5b60f 100644
--- a/docs/my-website/docs/extras/contributing_code.md
+++ b/docs/my-website/docs/extras/contributing_code.md
@@ -4,20 +4,23 @@
Here are the core requirements for any PR submitted to LiteLLM
-
+- [ ] Sign the Contributor License Agreement (CLA) - [see details](#contributor-license-agreement-cla)
- [ ] Add testing, **Adding at least 1 test is a hard requirement** - [see details](#2-adding-testing-to-your-pr)
- [ ] Ensure your PR passes the following tests:
- - [ ] [Unit Tests](#3-running-unit-tests)
- - [ ] [Formatting / Linting Tests](#35-running-linting-tests)
+ - [ ] [Unit Tests](#3-running-unit-tests)
+ - [ ] [Formatting / Linting Tests](#35-running-linting-tests)
- [ ] Keep scope as isolated as possible. As a general rule, your changes should address 1 specific problem at a time
+## **Contributor License Agreement (CLA)**
+Before contributing code to LiteLLM, you must sign our [Contributor License Agreement (CLA)](<(https://cla-assistant.io/BerriAI/litellm)>). This is a legal requirement for all contributions to be merged into the main repository. The CLA helps protect both you and the project by clearly defining the terms under which your contributions are made.
+
+**Important:** We strongly recommend reviewing and signing the CLA before starting work on your contribution to avoid any delays in the PR process. You can find the CLA [here](https://cla-assistant.io/BerriAI/litellm) and sign it through our CLA management system when you submit your first PR.
## Quick start
## 1. Setup your local dev environment
-
Here's how to modify the repo locally:
Step 1: Clone the repo
@@ -71,9 +74,9 @@ LiteLLM uses mypy for linting. On ci/cd we also run `black` for formatting.
- push your fork to your GitHub repo
- submit a PR from there
-
## Advanced
-### Building LiteLLM Docker Image
+
+### Building LiteLLM Docker Image
Some people might want to build the LiteLLM docker image themselves. Follow these instructions if you want to build / run the LiteLLM Docker Image yourself.
diff --git a/docs/my-website/docs/image_edits.md b/docs/my-website/docs/image_edits.md
new file mode 100644
index 0000000000..8e71764c09
--- /dev/null
+++ b/docs/my-website/docs/image_edits.md
@@ -0,0 +1,210 @@
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# /images/edits
+
+LiteLLM provides image editing functionality that maps to OpenAI's `/images/edits` API endpoint.
+
+| Feature | Supported | Notes |
+|---------|-----------|--------|
+| Cost Tracking | ✅ | Works with all supported models |
+| Logging | ✅ | Works across all integrations |
+| End-user Tracking | ✅ | |
+| Fallbacks | ✅ | Works between supported models |
+| Loadbalancing | ✅ | Works between supported models |
+| Supported operations | Create image edits | |
+| Supported LiteLLM Versions | 1.63.8+ | |
+| Supported LLM providers | **OpenAI** | Currently only `openai` is supported |
+
+## Usage
+
+### LiteLLM Python SDK
+
+
+
+
+#### Basic Image Edit
+```python showLineNumbers title="OpenAI Image Edit"
+import litellm
+
+# Edit an image with a prompt
+response = litellm.image_edit(
+ model="gpt-image-1",
+ image=open("original_image.png", "rb"),
+ prompt="Add a red hat to the person in the image",
+ n=1,
+ size="1024x1024"
+)
+
+print(response)
+```
+
+#### Image Edit with Mask
+```python showLineNumbers title="OpenAI Image Edit with Mask"
+import litellm
+
+# Edit an image with a mask to specify the area to edit
+response = litellm.image_edit(
+ model="gpt-image-1",
+ image=open("original_image.png", "rb"),
+ mask=open("mask_image.png", "rb"), # Transparent areas will be edited
+ prompt="Replace the background with a beach scene",
+ n=2,
+ size="512x512",
+ response_format="url"
+)
+
+print(response)
+```
+
+#### Async Image Edit
+```python showLineNumbers title="Async OpenAI Image Edit"
+import litellm
+import asyncio
+
+async def edit_image():
+ response = await litellm.aimage_edit(
+ model="gpt-image-1",
+ image=open("original_image.png", "rb"),
+ prompt="Make the image look like a painting",
+ n=1,
+ size="1024x1024",
+ response_format="b64_json"
+ )
+ return response
+
+# Run the async function
+response = asyncio.run(edit_image())
+print(response)
+```
+
+#### Image Edit with Custom Parameters
+```python showLineNumbers title="OpenAI Image Edit with Custom Parameters"
+import litellm
+
+# Edit image with additional parameters
+response = litellm.image_edit(
+ model="gpt-image-1",
+ image=open("portrait.png", "rb"),
+ prompt="Add sunglasses and a smile",
+ n=3,
+ size="1024x1024",
+ response_format="url",
+ user="user-123",
+ timeout=60,
+ extra_headers={"Custom-Header": "value"}
+)
+
+print(f"Generated {len(response.data)} image variations")
+for i, image_data in enumerate(response.data):
+ print(f"Image {i+1}: {image_data.url}")
+```
+
+
+
+
+### LiteLLM Proxy with OpenAI SDK
+
+
+
+
+
+First, add this to your litellm proxy config.yaml:
+```yaml showLineNumbers title="OpenAI Proxy Configuration"
+model_list:
+ - model_name: gpt-image-1
+ litellm_params:
+ model: gpt-image-1
+ api_key: os.environ/OPENAI_API_KEY
+```
+
+Start the LiteLLM proxy server:
+
+```bash showLineNumbers title="Start LiteLLM Proxy Server"
+litellm --config /path/to/config.yaml
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+#### Basic Image Edit via Proxy
+```python showLineNumbers title="OpenAI Proxy Image Edit"
+from openai import OpenAI
+
+# Initialize client with your proxy URL
+client = OpenAI(
+ base_url="http://localhost:4000", # Your proxy URL
+ api_key="your-api-key" # Your proxy API key
+)
+
+# Edit an image
+response = client.images.edit(
+ model="gpt-image-1",
+ image=open("original_image.png", "rb"),
+ prompt="Add a red hat to the person in the image",
+ n=1,
+ size="1024x1024"
+)
+
+print(response)
+```
+
+#### cURL Example
+```bash showLineNumbers title="cURL Image Edit Request"
+curl -X POST "http://localhost:4000/v1/images/edits" \
+ -H "Authorization: Bearer your-api-key" \
+ -F "model=gpt-image-1" \
+ -F "image=@original_image.png" \
+ -F "mask=@mask_image.png" \
+ -F "prompt=Add a beautiful sunset in the background" \
+ -F "n=1" \
+ -F "size=1024x1024" \
+ -F "response_format=url"
+```
+
+
+
+
+## Supported Image Edit Parameters
+
+| Parameter | Type | Description | Required |
+|-----------|------|-------------|----------|
+| `image` | `FileTypes` | The image to edit. Must be a valid PNG file, less than 4MB, and square. | ✅ |
+| `prompt` | `str` | A text description of the desired image edit. | ✅ |
+| `model` | `str` | The model to use for image editing | Optional (defaults to `dall-e-2`) |
+| `mask` | `str` | An additional image whose fully transparent areas indicate where the original image should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. | Optional |
+| `n` | `int` | The number of images to generate. Must be between 1 and 10. | Optional (defaults to 1) |
+| `size` | `str` | The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. | Optional (defaults to `1024x1024`) |
+| `response_format` | `str` | The format in which the generated images are returned. Must be one of `url` or `b64_json`. | Optional (defaults to `url`) |
+| `user` | `str` | A unique identifier representing your end-user. | Optional |
+
+
+## Response Format
+
+The response follows the OpenAI Images API format:
+
+```python showLineNumbers title="Image Edit Response Structure"
+{
+ "created": 1677649800,
+ "data": [
+ {
+ "url": "https://example.com/edited_image_1.png"
+ },
+ {
+ "url": "https://example.com/edited_image_2.png"
+ }
+ ]
+}
+```
+
+For `b64_json` format:
+```python showLineNumbers title="Base64 Response Structure"
+{
+ "created": 1677649800,
+ "data": [
+ {
+ "b64_json": "iVBORw0KGgoAAAANSUhEUgAA..."
+ }
+ ]
+}
+```
diff --git a/docs/my-website/docs/observability/deepeval_integration.md b/docs/my-website/docs/observability/deepeval_integration.md
new file mode 100644
index 0000000000..8af3278e8c
--- /dev/null
+++ b/docs/my-website/docs/observability/deepeval_integration.md
@@ -0,0 +1,55 @@
+import Image from '@theme/IdealImage';
+
+# 🔭 DeepEval - Open-Source Evals with Tracing
+
+### What is DeepEval?
+[DeepEval](https://deepeval.com) is an open-source evaluation framework for LLMs ([Github](https://github.com/confident-ai/deepeval)).
+
+### What is Confident AI?
+
+[Confident AI](https://documentation.confident-ai.com) (the ***deepeval*** platfrom) offers an Observatory for teams to trace and monitor LLM applications. Think Datadog for LLM apps. The observatory allows you to:
+
+- Detect and debug issues in your LLM applications in real-time
+- Search and analyze historical generation data with powerful filters
+- Collect human feedback on model responses
+- Run evaluations to measure and improve performance
+- Track costs and latency to optimize resource usage
+
+
+
+### Quickstart
+
+```python
+import os
+import time
+import litellm
+
+
+os.environ['OPENAI_API_KEY']=''
+os.environ['CONFIDENT_API_KEY']=''
+
+litellm.success_callback = ["deepeval"]
+litellm.failure_callback = ["deepeval"]
+
+try:
+ response = litellm.completion(
+ model="gpt-3.5-turbo",
+ messages=[
+ {"role": "user", "content": "What's the weather like in San Francisco?"}
+ ],
+ )
+except Exception as e:
+ print(e)
+
+print(response)
+```
+
+:::info
+You can obtain your `CONFIDENT_API_KEY` by logging into [Confident AI](https://app.confident-ai.com/project) platform.
+:::
+
+## Support & Talk with Deepeval team
+- [Confident AI Docs 📝](https://documentation.confident-ai.com)
+- [Platform 🚀](https://confident-ai.com)
+- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
+- Support ✉️ support@confident-ai.com
\ No newline at end of file
diff --git a/docs/my-website/docs/pass_through/vertex_ai.md b/docs/my-website/docs/pass_through/vertex_ai.md
index b99f0fcf98..d3f4e75e31 100644
--- a/docs/my-website/docs/pass_through/vertex_ai.md
+++ b/docs/my-website/docs/pass_through/vertex_ai.md
@@ -116,7 +116,7 @@ curl \
```bash
-curl http://localhost:4000/vertex_ai/vertex_ai/v1/projects/${PROJECT_ID}/locations/us-central1/publishers/google/models/${MODEL_ID}:generateContent \
+curl http://localhost:4000/vertex_ai/v1/projects/${PROJECT_ID}/locations/us-central1/publishers/google/models/${MODEL_ID}:generateContent \
-H "Content-Type: application/json" \
-H "x-litellm-api-key: Bearer sk-1234" \
-d '{
diff --git a/docs/my-website/docs/providers/anthropic.md b/docs/my-website/docs/providers/anthropic.md
index 990a9b5122..4ab4eb0608 100644
--- a/docs/my-website/docs/providers/anthropic.md
+++ b/docs/my-website/docs/providers/anthropic.md
@@ -4,6 +4,8 @@ import TabItem from '@theme/TabItem';
# Anthropic
LiteLLM supports all anthropic models.
+- `claude-4` (`claude-opus-4-20250514`, `claude-sonnet-4-20250514`)
+- `claude-3.7` (`claude-3-7-sonnet-20250219`)
- `claude-3.5` (`claude-3-5-sonnet-20240620`)
- `claude-3` (`claude-3-haiku-20240307`, `claude-3-opus-20240229`, `claude-3-sonnet-20240229`)
- `claude-2`
@@ -64,7 +66,7 @@ from litellm import completion
os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
messages = [{"role": "user", "content": "Hey! how's it going?"}]
-response = completion(model="claude-3-opus-20240229", messages=messages)
+response = completion(model="claude-opus-4-20250514", messages=messages)
print(response)
```
@@ -80,7 +82,7 @@ from litellm import completion
os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
messages = [{"role": "user", "content": "Hey! how's it going?"}]
-response = completion(model="claude-3-opus-20240229", messages=messages, stream=True)
+response = completion(model="claude-opus-4-20250514", messages=messages, stream=True)
for chunk in response:
print(chunk["choices"][0]["delta"]["content"]) # same as openai format
```
@@ -102,9 +104,9 @@ export ANTHROPIC_API_KEY="your-api-key"
```yaml
model_list:
- - model_name: claude-3 ### RECEIVED MODEL NAME ###
+ - model_name: claude-4 ### RECEIVED MODEL NAME ###
litellm_params: # all params accepted by litellm.completion() - https://docs.litellm.ai/docs/completion/input
- model: claude-3-opus-20240229 ### MODEL NAME sent to `litellm.completion()` ###
+ model: claude-opus-4-20250514 ### MODEL NAME sent to `litellm.completion()` ###
api_key: "os.environ/ANTHROPIC_API_KEY" # does os.getenv("AZURE_API_KEY_EU")
```
@@ -156,7 +158,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
```bash
-$ litellm --model claude-3-opus-20240229
+$ litellm --model claude-opus-4-20250514
# Server running on http://0.0.0.0:4000
```
@@ -244,6 +246,9 @@ print(response)
| Model Name | Function Call |
|------------------|--------------------------------------------|
+| claude-opus-4 | `completion('claude-opus-4-20250514', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
+| claude-sonnet-4 | `completion('claude-sonnet-4-20250514', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
+| claude-3.7 | `completion('claude-3-7-sonnet-20250219', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
| claude-3-5-sonnet | `completion('claude-3-5-sonnet-20240620', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
| claude-3-haiku | `completion('claude-3-haiku-20240307', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
| claude-3-opus | `completion('claude-3-opus-20240229', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
diff --git a/docs/my-website/docs/providers/github.md b/docs/my-website/docs/providers/github.md
index 023eaf7dcb..7594b6af4c 100644
--- a/docs/my-website/docs/providers/github.md
+++ b/docs/my-website/docs/providers/github.md
@@ -7,6 +7,7 @@ https://github.com/marketplace/models
:::tip
**We support ALL Github models, just set `model=github/` as a prefix when sending litellm requests**
+Ignore company prefix: meta/Llama-3.2-11B-Vision-Instruct becomes model=github/Llama-3.2-11B-Vision-Instruct
:::
@@ -23,7 +24,7 @@ import os
os.environ['GITHUB_API_KEY'] = ""
response = completion(
- model="github/llama3-8b-8192",
+ model="github/Llama-3.2-11B-Vision-Instruct",
messages=[
{"role": "user", "content": "hello from litellm"}
],
@@ -38,7 +39,7 @@ import os
os.environ['GITHUB_API_KEY'] = ""
response = completion(
- model="github/llama3-8b-8192",
+ model="github/Llama-3.2-11B-Vision-Instruct",
messages=[
{"role": "user", "content": "hello from litellm"}
],
@@ -57,9 +58,9 @@ for chunk in response:
```yaml
model_list:
- - model_name: github-llama3-8b-8192 # Model Alias to use for requests
+ - model_name: github-Llama-3.2-11B-Vision-Instruct # Model Alias to use for requests
litellm_params:
- model: github/llama3-8b-8192
+ model: github/Llama-3.2-11B-Vision-Instruct
api_key: "os.environ/GITHUB_API_KEY" # ensure you have `GITHUB_API_KEY` in your .env
```
@@ -80,7 +81,7 @@ Make request to litellm proxy
curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--data ' {
- "model": "github-llama3-8b-8192",
+ "model": "github-Llama-3.2-11B-Vision-Instruct",
"messages": [
{
"role": "user",
@@ -100,7 +101,7 @@ client = openai.OpenAI(
base_url="http://0.0.0.0:4000"
)
-response = client.chat.completions.create(model="github-llama3-8b-8192", messages = [
+response = client.chat.completions.create(model="github-Llama-3.2-11B-Vision-Instruct", messages = [
{
"role": "user",
"content": "this is a test request, write a short poem"
@@ -124,7 +125,7 @@ from langchain.schema import HumanMessage, SystemMessage
chat = ChatOpenAI(
openai_api_base="http://0.0.0.0:4000", # set openai_api_base to the LiteLLM Proxy
- model = "github-llama3-8b-8192",
+ model = "github-Llama-3.2-11B-Vision-Instruct",
temperature=0.1
)
@@ -152,7 +153,7 @@ We support ALL Github models, just set `github/` as a prefix when sending comple
|--------------------|---------------------------------------------------------|
| llama-3.1-8b-instant | `completion(model="github/llama-3.1-8b-instant", messages)` |
| llama-3.1-70b-versatile | `completion(model="github/llama-3.1-70b-versatile", messages)` |
-| llama3-8b-8192 | `completion(model="github/llama3-8b-8192", messages)` |
+| Llama-3.2-11B-Vision-Instruct | `completion(model="github/Llama-3.2-11B-Vision-Instruct", messages)` |
| llama3-70b-8192 | `completion(model="github/llama3-70b-8192", messages)` |
| llama2-70b-4096 | `completion(model="github/llama2-70b-4096", messages)` |
| mixtral-8x7b-32768 | `completion(model="github/mixtral-8x7b-32768", messages)` |
@@ -214,7 +215,7 @@ tools = [
}
]
response = litellm.completion(
- model="github/llama3-8b-8192",
+ model="github/Llama-3.2-11B-Vision-Instruct",
messages=messages,
tools=tools,
tool_choice="auto", # auto is default, but we'll be explicit
@@ -254,7 +255,7 @@ if tool_calls:
) # extend conversation with function response
print(f"messages: {messages}")
second_response = litellm.completion(
- model="github/llama3-8b-8192", messages=messages
+ model="github/Llama-3.2-11B-Vision-Instruct", messages=messages
) # get a new response from the model where it can see the function response
print("second response\n", second_response)
```
diff --git a/docs/my-website/docs/providers/openai/responses_api.md b/docs/my-website/docs/providers/openai/responses_api.md
index 578ce038f3..e88512ecfd 100644
--- a/docs/my-website/docs/providers/openai/responses_api.md
+++ b/docs/my-website/docs/providers/openai/responses_api.md
@@ -318,3 +318,133 @@ print(response)
+
+
+## MCP Tools
+
+
+
+
+```python showLineNumbers title="MCP Tools with LiteLLM SDK"
+import litellm
+from typing import Optional
+
+# Configure MCP Tools
+MCP_TOOLS = [
+ {
+ "type": "mcp",
+ "server_label": "deepwiki",
+ "server_url": "https://mcp.deepwiki.com/mcp",
+ "allowed_tools": ["ask_question"]
+ }
+]
+
+# Step 1: Make initial request - OpenAI will use MCP LIST and return MCP calls for approval
+response = litellm.responses(
+ model="openai/gpt-4.1",
+ tools=MCP_TOOLS,
+ input="What transport protocols does the 2025-03-26 version of the MCP spec support?"
+)
+
+# Get the MCP approval ID
+mcp_approval_id = None
+for output in response.output:
+ if output.type == "mcp_approval_request":
+ mcp_approval_id = output.id
+ break
+
+# Step 2: Send followup with approval for the MCP call
+response_with_mcp_call = litellm.responses(
+ model="openai/gpt-4.1",
+ tools=MCP_TOOLS,
+ input=[
+ {
+ "type": "mcp_approval_response",
+ "approve": True,
+ "approval_request_id": mcp_approval_id
+ }
+ ],
+ previous_response_id=response.id,
+)
+
+print(response_with_mcp_call)
+```
+
+
+
+
+1. Set up config.yaml
+
+```yaml showLineNumbers title="OpenAI Proxy Configuration"
+model_list:
+ - model_name: openai/gpt-4.1
+ litellm_params:
+ model: openai/gpt-4.1
+ api_key: os.environ/OPENAI_API_KEY
+```
+
+2. Start LiteLLM Proxy Server
+
+```bash title="Start LiteLLM Proxy Server"
+litellm --config /path/to/config.yaml
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+3. Test it!
+
+```python showLineNumbers title="MCP Tools with OpenAI SDK via LiteLLM Proxy"
+from openai import OpenAI
+from typing import Optional
+
+# Initialize client with your proxy URL
+client = OpenAI(
+ base_url="http://localhost:4000", # Your proxy URL
+ api_key="your-api-key" # Your proxy API key
+)
+
+# Configure MCP Tools
+MCP_TOOLS = [
+ {
+ "type": "mcp",
+ "server_label": "deepwiki",
+ "server_url": "https://mcp.deepwiki.com/mcp",
+ "allowed_tools": ["ask_question"]
+ }
+]
+
+# Step 1: Make initial request - OpenAI will use MCP LIST and return MCP calls for approval
+response = client.responses.create(
+ model="openai/gpt-4.1",
+ tools=MCP_TOOLS,
+ input="What transport protocols does the 2025-03-26 version of the MCP spec support?"
+)
+
+# Get the MCP approval ID
+mcp_approval_id = None
+for output in response.output:
+ if output.type == "mcp_approval_request":
+ mcp_approval_id = output.id
+ break
+
+# Step 2: Send followup with approval for the MCP call
+response_with_mcp_call = client.responses.create(
+ model="openai/gpt-4.1",
+ tools=MCP_TOOLS,
+ input=[
+ {
+ "type": "mcp_approval_response",
+ "approve": True,
+ "approval_request_id": mcp_approval_id
+ }
+ ],
+ previous_response_id=response.id,
+)
+
+print(response_with_mcp_call)
+```
+
+
+
+
+
diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 30887e9f60..e813074173 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -11,7 +11,7 @@ import TabItem from '@theme/TabItem';
| Description | Vertex AI is a fully-managed AI development platform for building and using generative AI. |
| Provider Route on LiteLLM | `vertex_ai/` |
| Link to Provider Doc | [Vertex AI ↗](https://cloud.google.com/vertex-ai) |
-| Base URL | [https://{vertex_location}-aiplatform.googleapis.com/](https://{vertex_location}-aiplatform.googleapis.com/) |
+| Base URL | 1. Regional endpoints
[https://{vertex_location}-aiplatform.googleapis.com/](https://{vertex_location}-aiplatform.googleapis.com/)
2. Global endpoints (limited availability)
[https://aiplatform.googleapis.com/](https://{aiplatform.googleapis.com/)|
| Supported Operations | [`/chat/completions`](#sample-usage), `/completions`, [`/embeddings`](#embedding-models), [`/audio/speech`](#text-to-speech-apis), [`/fine_tuning`](#fine-tuning-apis), [`/batches`](#batch-apis), [`/files`](#batch-apis), [`/images`](#image-generation-models) |
@@ -832,7 +832,7 @@ OR
You can set:
- `vertex_credentials` (str) - can be a json string or filepath to your vertex ai service account.json
-- `vertex_location` (str) - place where vertex model is deployed (us-central1, asia-southeast1, etc.)
+- `vertex_location` (str) - place where vertex model is deployed (us-central1, asia-southeast1, etc.). Some models support the global location, please see [Vertex AI documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/locations#supported_models)
- `vertex_project` Optional[str] - use if vertex project different from the one in vertex_credentials
as dynamic params for a `litellm.completion` call.
diff --git a/docs/my-website/docs/providers/voyage.md b/docs/my-website/docs/providers/voyage.md
index 6ab6b1846f..4b729bc9f5 100644
--- a/docs/my-website/docs/providers/voyage.md
+++ b/docs/my-website/docs/providers/voyage.md
@@ -25,6 +25,8 @@ All models listed here https://docs.voyageai.com/embeddings/#models-and-specific
| Model Name | Function Call |
|-------------------------|------------------------------------------------------------|
+| voyage-3.5 | `embedding(model="voyage/voyage-3.5", input)` |
+| voyage-3.5-lite | `embedding(model="voyage/voyage-3.5-lite", input)` |
| voyage-3-large | `embedding(model="voyage/voyage-3-large", input)` |
| voyage-3 | `embedding(model="voyage/voyage-3", input)` |
| voyage-3-lite | `embedding(model="voyage/voyage-3-lite", input)` |
@@ -35,8 +37,8 @@ All models listed here https://docs.voyageai.com/embeddings/#models-and-specific
| voyage-multilingual-2 | `embedding(model="voyage/voyage-multilingual-2 ", input)` |
| voyage-large-2-instruct | `embedding(model="voyage/voyage-large-2-instruct", input)` |
| voyage-large-2 | `embedding(model="voyage/voyage-large-2", input)` |
-| voyage-2 | `embedding(model="voyage/voyage-2", input)` |
+| voyage-2 | `embedding(model="voyage/voyage-2", input)` |
| voyage-lite-02-instruct | `embedding(model="voyage/voyage-lite-02-instruct", input)` |
-| voyage-01 | `embedding(model="voyage/voyage-01", input)` |
-| voyage-lite-01 | `embedding(model="voyage/voyage-lite-01", input)` |
+| voyage-01 | `embedding(model="voyage/voyage-01", input)` |
+| voyage-lite-01 | `embedding(model="voyage/voyage-lite-01", input)` |
| voyage-lite-01-instruct | `embedding(model="voyage/voyage-lite-01-instruct", input)` |
diff --git a/docs/my-website/docs/proxy/call_hooks.md b/docs/my-website/docs/proxy/call_hooks.md
index a7b0afcc18..c588ca0d0e 100644
--- a/docs/my-website/docs/proxy/call_hooks.md
+++ b/docs/my-website/docs/proxy/call_hooks.md
@@ -44,7 +44,8 @@ class MyCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/observabilit
self,
request_data: dict,
original_exception: Exception,
- user_api_key_dict: UserAPIKeyAuth
+ user_api_key_dict: UserAPIKeyAuth,
+ traceback_str: Optional[str] = None,
):
pass
diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md
index 4ae8225751..c3f3c3c088 100644
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@@ -293,6 +293,7 @@ router_settings:
| cache_responses | boolean | Flag to enable caching LLM Responses, if cache set under `router_settings`. If true, caches responses. Defaults to False. |
| router_general_settings | RouterGeneralSettings | [SDK-Only] Router general settings - contains optimizations like 'async_only_mode'. [Docs](../routing.md#router-general-settings) |
| optional_pre_call_checks | List[str] | List of pre-call checks to add to the router. Currently supported: 'router_budget_limiting', 'prompt_caching' |
+| ignore_invalid_deployments | boolean | If true, ignores invalid deployments. Default for proxy is True - to prevent invalid models from blocking other models from being loaded. |
### environment variables - Reference
@@ -349,7 +350,9 @@ router_settings:
| CIRCLE_OIDC_TOKEN | OpenID Connect token for CircleCI
| CIRCLE_OIDC_TOKEN_V2 | Version 2 of the OpenID Connect token for CircleCI
| CONFIG_FILE_PATH | File path for configuration file
+| CONFIDENT_API_KEY | API key for DeepEval integration
| CUSTOM_TIKTOKEN_CACHE_DIR | Custom directory for Tiktoken cache
+| CONFIDENT_API_KEY | API key for Confident AI (Deepeval) Logging service
| DATABASE_HOST | Hostname for the database server
| DATABASE_NAME | Name of the database
| DATABASE_PASSWORD | Password for the database user
@@ -384,6 +387,7 @@ router_settings:
| DEFAULT_IMAGE_TOKEN_COUNT | Default token count for images. Default is 250
| DEFAULT_IMAGE_WIDTH | Default width for images. Default is 300
| DEFAULT_IN_MEMORY_TTL | Default time-to-live for in-memory cache in seconds. Default is 5
+| DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL | Default time-to-live in seconds for management objects (User, Team, Key, Organization) in memory cache. Default is 60 seconds.
| DEFAULT_MAX_LRU_CACHE_SIZE | Default maximum size for LRU cache. Default is 16
| DEFAULT_MAX_RECURSE_DEPTH | Default maximum recursion depth. Default is 100
| DEFAULT_MAX_RECURSE_DEPTH_SENSITIVE_DATA_MASKER | Default maximum recursion depth for sensitive data masker. Default is 10
@@ -505,6 +509,7 @@ router_settings:
| LITELLM_GLOBAL_MAX_PARALLEL_REQUEST_RETRY_TIMEOUT | Timeout for retries of parallel requests in LiteLLM
| LITELLM_MIGRATION_DIR | Custom migrations directory for prisma migrations, used for baselining db in read-only file systems.
| LITELLM_HOSTED_UI | URL of the hosted UI for LiteLLM
+| LITELM_ENVIRONMENT | Environment of LiteLLM Instance, used by logging services. Currently only used by DeepEval.
| LITELLM_LICENSE | License key for LiteLLM usage
| LITELLM_LOCAL_MODEL_COST_MAP | Local configuration for model cost mapping in LiteLLM
| LITELLM_LOG | Enable detailed logging for LiteLLM
@@ -513,6 +518,7 @@ router_settings:
| LITELLM_SECRET_AWS_KMS_LITELLM_LICENSE | AWS KMS encrypted license for LiteLLM
| LITELLM_TOKEN | Access token for LiteLLM integration
| LITELLM_PRINT_STANDARD_LOGGING_PAYLOAD | If true, prints the standard logging payload to the console - useful for debugging
+| LITELM_ENVIRONMENT | Environment for LiteLLM Instance. This is currently only logged to DeepEval to determine the environment for DeepEval integration.
| LOGFIRE_TOKEN | Token for Logfire logging service
| MAX_EXCEPTION_MESSAGE_LENGTH | Maximum length for exception messages. Default is 2000
| MAX_IN_MEMORY_QUEUE_FLUSH_COUNT | Maximum count for in-memory queue flush operations. Default is 1000
@@ -526,7 +532,9 @@ router_settings:
| MAX_TILE_HEIGHT | Maximum height for image tiles. Default is 512
| MAX_TILE_WIDTH | Maximum width for image tiles. Default is 512
| MAX_TOKEN_TRIMMING_ATTEMPTS | Maximum number of attempts to trim a token message. Default is 10
+| MAXIMUM_TRACEBACK_LINES_TO_LOG | Maximum number of lines to log in traceback in LiteLLM Logs UI. Default is 100
| MAX_RETRY_DELAY | Maximum delay in seconds for retrying requests. Default is 8.0
+| MAX_LANGFUSE_INITIALIZED_CLIENTS | Maximum number of Langfuse clients to initialize on proxy. Default is 20. This is set since langfuse initializes 1 thread everytime a client is initialized. We've had an incident in the past where we reached 100% cpu utilization because Langfuse was initialized several times.
| MIN_NON_ZERO_TEMPERATURE | Minimum non-zero temperature value. Default is 0.0001
| MINIMUM_PROMPT_CACHE_TOKEN_COUNT | Minimum token count for caching a prompt. Default is 1024
| MISTRAL_API_BASE | Base URL for Mistral API
@@ -633,6 +641,7 @@ router_settings:
| UPSTREAM_LANGFUSE_PUBLIC_KEY | Public key for upstream Langfuse authentication
| UPSTREAM_LANGFUSE_RELEASE | Release version identifier for upstream Langfuse
| UPSTREAM_LANGFUSE_SECRET_KEY | Secret key for upstream Langfuse authentication
+| USE_AIOHTTP_TRANSPORT | Flag to enable aiohttp transport. This is a feature flag for the new aiohttp transport. **Default is False**
| 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/docs/my-website/docs/proxy/guardrails/pii_masking_v2.md b/docs/my-website/docs/proxy/guardrails/pii_masking_v2.md
index 427308cf22..c93eb52a2a 100644
--- a/docs/my-website/docs/proxy/guardrails/pii_masking_v2.md
+++ b/docs/my-website/docs/proxy/guardrails/pii_masking_v2.md
@@ -418,7 +418,7 @@ guardrails:
Send ad-hoc recognizers to presidio `/analyze` by passing a json file to the proxy
-[**Example** ad-hoc recognizer](../../../../litellm/proxy/hooks/example_presidio_ad_hoc_recognize)
+[**Example** ad-hoc recognizer](https://github.com/BerriAI/litellm/blob/b69b7503db5aa039a49b7ca96ae5b34db0d25a3d/litellm/proxy/hooks/example_presidio_ad_hoc_recognizer.json)
#### Define ad-hoc recognizer on your LiteLLM config.yaml
diff --git a/docs/my-website/docs/proxy/litellm_managed_files.md b/docs/my-website/docs/proxy/litellm_managed_files.md
index de4bd1b9bf..ab0e4b3a75 100644
--- a/docs/my-website/docs/proxy/litellm_managed_files.md
+++ b/docs/my-website/docs/proxy/litellm_managed_files.md
@@ -4,7 +4,8 @@ import Image from '@theme/IdealImage';
# [BETA] LiteLLM Managed Files
-Reuse the same file across different providers.
+- Reuse the same file across different providers.
+- Prevent users from seeing files they don't have access to on `list` and `retrieve` calls.
:::info
@@ -15,22 +16,18 @@ Available via the `litellm[proxy]` package or any `litellm` docker image.
:::
-| Feature | Description | Comments |
+| Property | Value | Comments |
| --- | --- | --- |
| Proxy | ✅ | |
-| SDK | ❌ | Requires postgres DB for storing file ids |
+| SDK | ❌ | Requires postgres DB for storing file ids. |
| Available across all providers | ✅ | |
+| Supported endpoints | `/chat/completions`, `/batch`, `/fine_tuning` | |
-
-
-Limitations of LiteLLM Managed Files:
-- Only works for `/chat/completions` and `/batch` requests.
-
-Follow [here](https://github.com/BerriAI/litellm/discussions/9632) for multiple models, batches support.
+## Usage
### 1. Setup config.yaml
-```
+```yaml
model_list:
- model_name: "gemini-2.0-flash"
litellm_params:
@@ -41,6 +38,10 @@ model_list:
litellm_params:
model: gpt-4o-mini
api_key: os.environ/OPENAI_API_KEY
+
+general_settings:
+ master_key: sk-1234 # alternatively use the env var - LITELLM_MASTER_KEY
+ database_url: "postgresql://:@:/" # alternatively use the env var - DATABASE_URL
```
### 2. Start proxy
@@ -219,8 +220,120 @@ print(completion.choices[0].message)
```
+## File Permissions
-### Supported Endpoints
+Prevent users from seeing files they don't have access to on `list` and `retrieve` calls.
+
+### 1. Setup config.yaml
+
+```yaml
+model_list:
+ - model_name: "gpt-4o-mini-openai"
+ litellm_params:
+ model: gpt-4o-mini
+ api_key: os.environ/OPENAI_API_KEY
+
+general_settings:
+ master_key: sk-1234 # alternatively use the env var - LITELLM_MASTER_KEY
+ database_url: "postgresql://:@:/" # alternatively use the env var - DATABASE_URL
+```
+
+### 2. Start proxy
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+### 3. Issue a key to the user
+
+Let's create a user with the id `user_123`.
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/user/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{"models": ["gpt-4o-mini-openai"], "user_id": "user_123"}'
+```
+
+Get the key from the response.
+
+```json
+{
+ "key": "sk-..."
+}
+```
+
+### 4. User creates a file
+
+#### 4a. Create a file
+
+```jsonl
+{"messages": [{"role": "system", "content": "Clippy is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]}
+{"messages": [{"role": "system", "content": "Clippy is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]}
+```
+
+#### 4b. Upload the file
+
+```python
+from openai import OpenAI
+
+client = OpenAI(
+ base_url="http://0.0.0.0:4000",
+ api_key="sk-...", # 👈 Use the key you generated in step 3
+ max_retries=0
+)
+
+# Upload file
+finetuning_input_file = client.files.create(
+ file=open("./fine_tuning.jsonl", "rb"), # {"model": "azure-gpt-4o"} <-> {"model": "gpt-4o-my-special-deployment"}
+ purpose="fine-tune",
+ extra_body={"target_model_names": "gpt-4.1-openai"} # 👈 Tells litellm which regions/projects to write the file in.
+)
+print(finetuning_input_file) # file.id = "litellm_proxy/..." = {"model_name": {"deployment_id": "deployment_file_id"}}
+```
+
+### 5. User retrieves a file
+
+
+
+
+```python
+from openai import OpenAI
+
+... # User created file (3b)
+
+file = client.files.retrieve(
+ file_id=finetuning_input_file.id
+)
+
+print(file) # File retrieved successfully
+```
+
+
+
+
+```python
+```python
+from openai import OpenAI
+
+... # User created file (3b)
+
+try:
+ file = client.files.retrieve(
+ file_id="bGl0ZWxsbV9wcm94eTphcHBsaWNhdGlvbi9vY3RldC1zdHJlYW07dW5pZmllZF9pZCwyYTgzOWIyYS03YzI1LTRiNTUtYTUxYS1lZjdhODljNzZkMzU7dGFyZ2V0X21vZGVsX25hbWVzLGdwdC00by1iYXRjaA"
+ )
+except Exception as e:
+ print(e) # User does not have access to this file
+
+```
+
+
+
+
+
+
+
+## Supported Endpoints
#### Create a file - `/files`
@@ -264,7 +377,23 @@ client = OpenAI(base_url="http://0.0.0.0:4000", api_key="sk-1234", max_retries=0
file = client.files.delete(file_id=file.id)
```
-### FAQ
+#### List files - `/files`
+
+```python
+client = OpenAI(base_url="http://0.0.0.0:4000", api_key="sk-1234", max_retries=0)
+
+files = client.files.list(extra_body={"target_model_names": "gpt-4o-mini-openai"})
+
+print(files) # All files user has created
+```
+
+Pre-GA Limitations on List Files:
+ - No multi-model support: Just 1 model name is supported for now.
+ - No multi-deployment support: Just 1 deployment of the model is supported for now (e.g. if you have 2 deployments with the `gpt-4o-mini-openai` public model name, it will pick one and return all files on that deployment).
+
+Pre-GA Limitations will be fixed before GA of the Managed Files feature.
+
+## FAQ
**1. Does LiteLLM store the file?**
@@ -278,10 +407,21 @@ LiteLLM stores a mapping of the litellm file id to the model-specific file id in
When a file is deleted, LiteLLM deletes the mapping from the postgres DB, and the files on each provider.
-### Architecture
+**4. Can a user call a file id that was created by another user?**
+
+No, as of `v1.71.2` users can only view/edit/delete files they have created.
+
+
+
+## Architecture
-
\ No newline at end of file
+
+
+## See Also
+
+- [Managed Files w/ Finetuning APIs](../../docs/proxy/managed_finetuning)
+- [Managed Files w/ Batch APIs](../../docs/proxy/managed_batch)
\ No newline at end of file
diff --git a/docs/my-website/docs/proxy/logging.md b/docs/my-website/docs/proxy/logging.md
index e6285ec31e..99d59e6deb 100644
--- a/docs/my-website/docs/proxy/logging.md
+++ b/docs/my-website/docs/proxy/logging.md
@@ -11,6 +11,7 @@ Log Proxy input, output, and exceptions using:
- GCS, s3, Azure (Blob) Buckets
- Lunary
- MLflow
+- Deepeval
- Custom Callbacks - Custom code and API endpoints
- Langsmith
- DataDog
@@ -1182,7 +1183,58 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
'
```
+## Deepeval
+LiteLLM supports logging on [Confidential AI](https://documentation.confident-ai.com/) (The Deepeval Platform):
+### Usage:
+1. Add `deepeval` in the LiteLLM `config.yaml`
+
+```yaml
+model_list:
+ - model_name: gpt-4o
+ litellm_params:
+ model: gpt-4o
+litellm_settings:
+ success_callback: ["deepeval"]
+ failure_callback: ["deepeval"]
+```
+
+2. Set your environment variables in `.env` file.
+```shell
+CONFIDENT_API_KEY=
+```
+:::info
+You can obtain your `CONFIDENT_API_KEY` by logging into [Confident AI](https://app.confident-ai.com/project) platform.
+:::
+
+3. Start your proxy server:
+```shell
+litellm --config config.yaml --debug
+```
+
+4. Make a request:
+```shell
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-d '{
+ "model": "gpt-3.5-turbo",
+ "messages": [
+ {
+ "role": "system",
+ "content": "You are a helpful math tutor. Guide the user through the solution step by step."
+ },
+ {
+ "role": "user",
+ "content": "how can I solve 8x + 7 = -23"
+ }
+ ]
+}'
+```
+
+5. Check trace on platform:
+
+
## s3 Buckets
diff --git a/docs/my-website/docs/proxy/managed_finetuning.md b/docs/my-website/docs/proxy/managed_finetuning.md
new file mode 100644
index 0000000000..b534fa94b8
--- /dev/null
+++ b/docs/my-website/docs/proxy/managed_finetuning.md
@@ -0,0 +1,198 @@
+# ✨ [BETA] LiteLLM Managed Files with Finetuning
+
+
+:::info
+
+This is a free LiteLLM Enterprise feature.
+
+Available via the `litellm[proxy]` package or any `litellm` docker image.
+
+:::
+
+
+| Property | Value | Comments |
+| --- | --- | --- |
+| Proxy | ✅ | |
+| SDK | ❌ | Requires postgres DB for storing file ids. |
+| Available across all [Batch providers](../batches#supported-providers) | ✅ | |
+| Supported endpoints | `/fine_tuning/jobs` | |
+
+## Overview
+
+Use this to:
+
+- Create Finetuning jobs across OpenAI/Azure/Vertex AI in the OpenAI format (no additional `custom_llm_provider` param required).
+- Control finetuning model access by key/user/team (same as chat completion models)
+
+
+## (Proxy Admin) Usage
+
+Here's how to give developers access to your Finetuning models.
+
+### 1. Setup config.yaml
+
+Include `/fine_tuning` in the `supported_endpoints` list. Tells developers this model supports the `/fine_tuning` endpoint.
+
+```yaml showLineNumbers title="litellm_config.yaml"
+model_list:
+ - model_name: "gpt-4.1-openai"
+ litellm_params:
+ model: gpt-4.1
+ api_key: os.environ/OPENAI_API_KEY
+ model_info:
+ supported_endpoints: ["/chat/completions", "/fine_tuning"]
+```
+
+### 2. Create Virtual Key
+
+```bash showLineNumbers title="create_virtual_key.sh"
+curl -L -X POST 'https://{PROXY_BASE_URL}/key/generate' \
+-H 'Authorization: Bearer ${PROXY_API_KEY}' \
+-H 'Content-Type: application/json' \
+-d '{"models": ["gpt-4.1-openai"]}'
+```
+
+
+You can now use the virtual key to access the finetuning models (See Developer flow).
+
+## (Developer) Usage
+
+Here's how to create a LiteLLM managed file and execute Finetuning CRUD operations with the file.
+
+### 1. Create request.jsonl
+
+
+```json showLineNumbers title="request.jsonl"
+{"messages": [{"role": "system", "content": "Clippy is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]}
+{"messages": [{"role": "system", "content": "Clippy is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]}
+```
+
+### 2. Upload File
+
+Specify `target_model_names: ""` to enable LiteLLM managed files and request validation.
+
+model-name should be the same as the model-name in the request.jsonl
+
+```python showLineNumbers title="create_finetuning_job.py"
+from openai import OpenAI
+
+client = OpenAI(
+ base_url="http://0.0.0.0:4000",
+ api_key="sk-1234",
+)
+
+# Upload file
+finetuning_input_file = client.files.create(
+ file=open("./request.jsonl", "rb"),
+ purpose="fine-tune",
+ extra_body={"target_model_names": "gpt-4.1-openai"}
+)
+print(finetuning_input_file)
+
+```
+
+
+**Where is the file written?**:
+
+All gpt-4.1-openai deployments will be written to. This enables loadbalancing across all gpt-4.1-openai deployments in Step 3, when a job is created. Once the job is created, any retrieve/list/cancel operations will be routed to that deployment.
+
+### 3. Create the Finetuning Job
+
+```python showLineNumbers title="create_finetuning_job.py"
+... # Step 2
+
+file_id = finetuning_input_file.id
+
+# Create Finetuning Job
+ft_job = client.fine_tuning.jobs.create(
+ model="gpt-4.1-openai", # litellm public model name you want to finetune
+ training_file=file_id,
+)
+```
+
+### 4. Retrieve Finetuning Job
+
+```python showLineNumbers title="create_finetuning_job.py"
+... # Step 3
+
+response = client.fine_tuning.jobs.retrieve(ft_job.id)
+print(response)
+```
+
+### 5. List Finetuning Jobs
+
+```python showLineNumbers title="create_finetuning_job.py"
+...
+
+client.fine_tuning.jobs.list(extra_body={"target_model_names": "gpt-4.1-openai"})
+```
+
+### 6. Cancel a Finetuning Job
+
+```python showLineNumbers title="create_finetuning_job.py"
+...
+
+cancel_ft_job = client.fine_tuning.jobs.cancel(
+ fine_tuning_job_id=ft_job.id, # fine tuning job id
+)
+```
+
+
+
+## E2E Example
+
+```python showLineNumbers title="create_finetuning_job.py"
+from openai import OpenAI
+
+client = OpenAI(
+ base_url="http://0.0.0.0:4000",
+ api_key="sk-...",
+ max_retries=0
+)
+
+
+# Upload file
+finetuning_input_file = client.files.create(
+ file=open("./fine_tuning.jsonl", "rb"), # {"model": "azure-gpt-4o"} <-> {"model": "gpt-4o-my-special-deployment"}
+ purpose="fine-tune",
+ extra_body={"target_model_names": "gpt-4.1-openai"} # 👈 Tells litellm which regions/projects to write the file in.
+)
+print(finetuning_input_file) # file.id = "litellm_proxy/..." = {"model_name": {"deployment_id": "deployment_file_id"}}
+
+file_id = finetuning_input_file.id
+# # file_id = "bGl0ZWxs..."
+
+# ## create fine-tuning job
+ft_job = client.fine_tuning.jobs.create(
+ model="gpt-4.1-openai", # litellm model name you want to finetune
+ training_file=file_id,
+)
+
+print(f"ft_job: {ft_job}")
+
+ft_job_id = ft_job.id
+## cancel fine-tuning job
+cancel_ft_job = client.fine_tuning.jobs.cancel(
+ fine_tuning_job_id=ft_job_id, # fine tuning job id
+)
+
+print("response from cancel ft job={}".format(cancel_ft_job))
+# list fine-tuning jobs
+list_ft_jobs = client.fine_tuning.jobs.list(
+ extra_query={"target_model_names": "gpt-4.1-openai"} # tell litellm proxy which provider to use
+)
+
+print("list of ft jobs={}".format(list_ft_jobs))
+
+# get fine-tuning job
+response = client.fine_tuning.jobs.retrieve(ft_job.id)
+print(response)
+```
+
+## FAQ
+
+### Where are my files written?
+
+When a `target_model_names` is specified, the file is written to all deployments that match the `target_model_names`.
+
+No additional infrastructure is required.
\ No newline at end of file
diff --git a/docs/my-website/docs/proxy/ui_logs_sessions.md b/docs/my-website/docs/proxy/ui_logs_sessions.md
index a1a3003478..5efd7d4cb9 100644
--- a/docs/my-website/docs/proxy/ui_logs_sessions.md
+++ b/docs/my-website/docs/proxy/ui_logs_sessions.md
@@ -43,9 +43,7 @@ response1 = client.chat.completions.create(
}
],
extra_body={
- "metadata": {
- "litellm_session_id": session_id # Pass the session ID
- }
+ "litellm_session_id": session_id # Pass the session ID
}
)
```
@@ -64,9 +62,7 @@ response2 = client.chat.completions.create(
}
],
extra_body={
- "metadata": {
- "litellm_session_id": session_id # Reuse the same session ID
- }
+ "litellm_session_id": session_id # Reuse the same session ID
}
)
```
@@ -89,9 +85,7 @@ chat = ChatOpenAI(
api_key="",
model="gpt-4o",
extra_body={
- "metadata": {
- "litellm_session_id": session_id # Pass the session ID
- }
+ "litellm_session_id": session_id # Pass the session ID
}
)
@@ -132,9 +126,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
"content": "Write a short story about a robot"
}
],
- "metadata": {
- "litellm_session_id": "'$SESSION_ID'"
- }
+ "litellm_session_id": "'$SESSION_ID'"
}'
```
@@ -154,9 +146,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
"content": "Now write a poem about that robot"
}
],
- "metadata": {
- "litellm_session_id": "'$SESSION_ID'"
- }
+ "litellm_session_id": "'$SESSION_ID'"
}'
```
diff --git a/docs/my-website/img/deepeval_dashboard.png b/docs/my-website/img/deepeval_dashboard.png
new file mode 100644
index 0000000000..794becaccc
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diff --git a/docs/my-website/img/deepeval_visible_trace.png b/docs/my-website/img/deepeval_visible_trace.png
new file mode 100644
index 0000000000..6b054f8b9a
Binary files /dev/null and b/docs/my-website/img/deepeval_visible_trace.png differ
diff --git a/docs/my-website/img/files_api_graphic.png b/docs/my-website/img/files_api_graphic.png
new file mode 100644
index 0000000000..507e351673
Binary files /dev/null and b/docs/my-website/img/files_api_graphic.png differ
diff --git a/docs/my-website/img/perf_imp.png b/docs/my-website/img/perf_imp.png
new file mode 100644
index 0000000000..bb9a3d0b30
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diff --git a/docs/my-website/release_notes/v1.70.1-stable/index.md b/docs/my-website/release_notes/v1.70.1-stable/index.md
index 8174bae8bc..c55ac8b9c6 100644
--- a/docs/my-website/release_notes/v1.70.1-stable/index.md
+++ b/docs/my-website/release_notes/v1.70.1-stable/index.md
@@ -115,7 +115,7 @@ This release brings improvements to our Presidio PII Integration. As a Proxy Adm
- [`/messages`](../../docs/anthropic_unified)
- allow using dynamic AWS Params - [PR](https://github.com/BerriAI/litellm/pull/10769)
- **[Nvidia NIM](../../docs/providers/nvidia_nim)**
- - [`/chat/completion`](../../docs/providers/nvidia_nim#usage---litellm-proxy-server) [NEED DOCS ON SUPPORTED PARAMS]
+ - [`/chat/completion`](../../docs/providers/nvidia_nim#usage---litellm-proxy-server)
- Add tools, tool_choice, parallel_tool_calls support - [PR](https://github.com/BerriAI/litellm/pull/10763)
- **[Novita AI](../../docs/providers/novita)**
- New Provider added for `/chat/completion` routes - [PR](https://github.com/BerriAI/litellm/pull/9527)
diff --git a/docs/my-website/release_notes/v1.71.1-stable/index.md b/docs/my-website/release_notes/v1.71.1-stable/index.md
new file mode 100644
index 0000000000..2d21d49171
--- /dev/null
+++ b/docs/my-website/release_notes/v1.71.1-stable/index.md
@@ -0,0 +1,284 @@
+---
+title: v1.71.1-stable - 2x Higher Requests Per Second (RPS)
+slug: v1.71.1-stable
+date: 2025-05-24T10:00:00
+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=1749686400&v=beta&t=Hkl3U8Ps0VtvNxX0BNNq24b4dtX5wQaPFp6oiKCIHD8
+ - 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
+
+hide_table_of_contents: false
+---
+
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Deploy this version
+
+
+
+
+``` showLineNumbers title="docker run litellm"
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.71.1-stable
+```
+
+
+
+
+``` showLineNumbers title="pip install litellm"
+pip install litellm==1.71.1
+```
+
+
+
+## Key Highlights
+
+LiteLLM v1.71.1-stable is live now. Here are the key highlights of this release:
+
+- **Performance improvements**: LiteLLM can now scale to 200 RPS per instance with a 74ms median response time.
+- **File Permissions**: Control file access across OpenAI, Azure, VertexAI.
+- **MCP x OpenAI**: Use MCP servers with OpenAI Responses API.
+
+
+
+## Performance Improvements
+
+
+
+
+
+
+This release brings aiohttp support for all LLM api providers. This means that LiteLLM can now scale to 200 RPS per instance with a 40ms median latency overhead.
+
+This change doubles the RPS LiteLLM can scale to at this latency overhead.
+
+You can opt into this by enabling the flag below. (We expect to make this the default in 1 week.)
+
+
+### Flag to enable
+
+**On LiteLLM Proxy**
+
+Set the `USE_AIOHTTP_TRANSPORT=True` in the environment variables.
+
+```yaml showLineNumbers title="Environment Variable"
+export USE_AIOHTTP_TRANSPORT="True"
+```
+
+**On LiteLLM Python SDK**
+
+Set the `use_aiohttp_transport=True` to enable aiohttp transport.
+
+```python showLineNumbers title="Python SDK"
+import litellm
+
+litellm.use_aiohttp_transport = True # default is False, enable this to use aiohttp transport
+result = litellm.completion(
+ model="openai/gpt-4o",
+ messages=[{"role": "user", "content": "Hello, world!"}],
+)
+print(result)
+```
+
+## File Permissions
+
+
+
+
+
+This release brings support for [File Permissions](../../docs/proxy/litellm_managed_files#file-permissions) and [Finetuning APIs](../../docs/proxy/managed_finetuning) to [LiteLLM Managed Files](../../docs/proxy/litellm_managed_files). This is great for:
+
+- **Proxy Admins**: as users can only view/edit/delete files they’ve created - even when using shared OpenAI/Azure/Vertex deployments.
+- **Developers**: get a standard interface to use Files across Chat/Finetuning/Batch APIs.
+
+
+## New Models / Updated Models
+
+- **Gemini [VertexAI](https://docs.litellm.ai/docs/providers/vertex), [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini)**
+ - New gemini models - [PR 1](https://github.com/BerriAI/litellm/pull/10991), [PR 2](https://github.com/BerriAI/litellm/pull/10998)
+ - `gemini-2.5-flash-preview-tts`
+ - `gemini-2.0-flash-preview-image-generation`
+ - `gemini/gemini-2.5-flash-preview-05-20`
+ - `gemini-2.5-flash-preview-05-20`
+- **[Anthropic](../../docs/providers/anthropic)**
+ - Claude-4 model family support - [PR](https://github.com/BerriAI/litellm/pull/11060)
+- **[Bedrock](../../docs/providers/bedrock)**
+ - Claude-4 model family support - [PR](https://github.com/BerriAI/litellm/pull/11060)
+ - Support for `reasoning_effort` and `thinking` parameters for Claude-4 - [PR](https://github.com/BerriAI/litellm/pull/11114)
+- **[VertexAI](../../docs/providers/vertex)**
+ - Claude-4 model family support - [PR](https://github.com/BerriAI/litellm/pull/11060)
+ - Global endpoints support - [PR](https://github.com/BerriAI/litellm/pull/10658)
+ - authorized_user credentials type support - [PR](https://github.com/BerriAI/litellm/pull/10899)
+- **[xAI](../../docs/providers/xai)**
+ - `xai/grok-3` pricing information - [PR](https://github.com/BerriAI/litellm/pull/11028)
+- **[LM Studio](../../docs/providers/lm_studio)**
+ - Structured JSON schema outputs support - [PR](https://github.com/BerriAI/litellm/pull/10929)
+- **[SambaNova](../../docs/providers/sambanova)**
+ - Updated models and parameters - [PR](https://github.com/BerriAI/litellm/pull/10900)
+- **[Databricks](../../docs/providers/databricks)**
+ - Llama 4 Maverick model cost - [PR](https://github.com/BerriAI/litellm/pull/11008)
+ - Claude 3.7 Sonnet output token cost correction - [PR](https://github.com/BerriAI/litellm/pull/11007)
+- **[Azure](../../docs/providers/azure)**
+ - Mistral Medium 25.05 support - [PR](https://github.com/BerriAI/litellm/pull/11063)
+ - Certificate-based authentication support - [PR](https://github.com/BerriAI/litellm/pull/11069)
+- **[Mistral](../../docs/providers/mistral)**
+ - devstral-small-2505 model pricing and context window - [PR](https://github.com/BerriAI/litellm/pull/11103)
+- **[Ollama](../../docs/providers/ollama)**
+ - Wildcard model support - [PR](https://github.com/BerriAI/litellm/pull/10982)
+- **[CustomLLM](../../docs/providers/custom_llm_server)**
+ - Embeddings support added - [PR](https://github.com/BerriAI/litellm/pull/10980)
+- **[Featherless AI](../../docs/providers/featherless_ai)**
+ - Access to 4200+ models - [PR](https://github.com/BerriAI/litellm/pull/10596)
+
+## LLM API Endpoints
+
+- **[Image Edits](../../docs/image_generation)**
+ - `/v1/images/edits` - Support for /images/edits endpoint - [PR](https://github.com/BerriAI/litellm/pull/11020) [PR](https://github.com/BerriAI/litellm/pull/11123)
+ - Content policy violation error mapping - [PR](https://github.com/BerriAI/litellm/pull/11113)
+- **[Responses API](../../docs/response_api)**
+ - MCP support for Responses API - [PR](https://github.com/BerriAI/litellm/pull/11029)
+- **[Files API](../../docs/fine_tuning)**
+ - LiteLLM Managed Files support for finetuning - [PR](https://github.com/BerriAI/litellm/pull/11039) [PR](https://github.com/BerriAI/litellm/pull/11040)
+ - Validation for file operations (retrieve/list/delete) - [PR](https://github.com/BerriAI/litellm/pull/11081)
+
+## Management Endpoints / UI
+
+- **Teams**
+ - Key and member count display - [PR](https://github.com/BerriAI/litellm/pull/10950)
+ - Spend rounded to 4 decimal points - [PR](https://github.com/BerriAI/litellm/pull/11013)
+ - Organization and team create buttons repositioned - [PR](https://github.com/BerriAI/litellm/pull/10948)
+- **Keys**
+ - Key reassignment and 'updated at' column - [PR](https://github.com/BerriAI/litellm/pull/10960)
+ - Show model access groups during creation - [PR](https://github.com/BerriAI/litellm/pull/10965)
+- **Logs**
+ - Model filter on logs - [PR](https://github.com/BerriAI/litellm/pull/11048)
+ - Passthrough endpoint error logs support - [PR](https://github.com/BerriAI/litellm/pull/10990)
+- **Guardrails**
+ - Config.yaml guardrails display - [PR](https://github.com/BerriAI/litellm/pull/10959)
+- **Organizations/Users**
+ - Spend rounded to 4 decimal points - [PR](https://github.com/BerriAI/litellm/pull/11023)
+ - Show clear error when adding a user to a team - [PR](https://github.com/BerriAI/litellm/pull/10978)
+- **Audit Logs**
+ - `/list` and `/info` endpoints for Audit Logs - [PR](https://github.com/BerriAI/litellm/pull/11102)
+
+## Logging / Alerting Integrations
+
+- **[Prometheus](../../docs/proxy/prometheus)**
+ - Track `route` on proxy_* metrics - [PR](https://github.com/BerriAI/litellm/pull/10992)
+- **[Langfuse](../../docs/proxy/logging#langfuse)**
+ - Support for `prompt_label` parameter - [PR](https://github.com/BerriAI/litellm/pull/11018)
+ - Consistent modelParams logging - [PR](https://github.com/BerriAI/litellm/pull/11018)
+- **[DeepEval/ConfidentAI](../../docs/proxy/logging#deepeval)**
+ - Logging enabled for proxy and SDK - [PR](https://github.com/BerriAI/litellm/pull/10649)
+- **[Logfire](../../docs/proxy/logging)**
+ - Fix otel proxy server initialization when using Logfire - [PR](https://github.com/BerriAI/litellm/pull/11091)
+
+## Authentication & Security
+
+- **[JWT Authentication](../../docs/proxy/token_auth)**
+ - Support for applying default internal user parameters when upserting a user via JWT authentication - [PR](https://github.com/BerriAI/litellm/pull/10995)
+ - Map a user to a team when upserting a user via JWT authentication - [PR](https://github.com/BerriAI/litellm/pull/11108)
+- **Custom Auth**
+ - Support for switching between custom auth and API key auth - [PR](https://github.com/BerriAI/litellm/pull/11070)
+
+## Performance / Reliability Improvements
+
+- **aiohttp Transport**
+ - 97% lower median latency (feature flagged) - [PR](https://github.com/BerriAI/litellm/pull/11097) [PR](https://github.com/BerriAI/litellm/pull/11132)
+- **Background Health Checks**
+ - Improved reliability - [PR](https://github.com/BerriAI/litellm/pull/10887)
+- **Response Handling**
+ - Better streaming status code detection - [PR](https://github.com/BerriAI/litellm/pull/10962)
+ - Response ID propagation improvements - [PR](https://github.com/BerriAI/litellm/pull/11006)
+- **Thread Management**
+ - Removed error-creating threads for reliability - [PR](https://github.com/BerriAI/litellm/pull/11066)
+
+## General Proxy Improvements
+
+- **[Proxy CLI](../../docs/proxy/cli)**
+ - Skip server startup flag - [PR](https://github.com/BerriAI/litellm/pull/10665)
+ - Avoid DATABASE_URL override when provided - [PR](https://github.com/BerriAI/litellm/pull/11076)
+- **Model Management**
+ - Clear cache and reload after model updates - [PR](https://github.com/BerriAI/litellm/pull/10853)
+ - Computer use support tracking - [PR](https://github.com/BerriAI/litellm/pull/10881)
+- **Helm Chart**
+ - LoadBalancer class support - [PR](https://github.com/BerriAI/litellm/pull/11064)
+
+## Bug Fixes
+
+This release includes numerous bug fixes to improve stability and reliability:
+
+- **LLM Provider Fixes**
+ - VertexAI:
+ - Fixed quota_project_id parameter issue - [PR](https://github.com/BerriAI/litellm/pull/10915)
+ - Fixed credential refresh exceptions - [PR](https://github.com/BerriAI/litellm/pull/10969)
+ - Cohere:
+ Fixes for adding Cohere models through LiteLLM UI - [PR](https://github.com/BerriAI/litellm/pull/10822)
+ - Anthropic:
+ - Fixed streaming dict object handling for /v1/messages - [PR](https://github.com/BerriAI/litellm/pull/11032)
+ - OpenRouter:
+ - Fixed stream usage ID issues - [PR](https://github.com/BerriAI/litellm/pull/11004)
+
+- **Authentication & Users**
+ - Fixed invitation email link generation - [PR](https://github.com/BerriAI/litellm/pull/10958)
+ - Fixed JWT authentication default role - [PR](https://github.com/BerriAI/litellm/pull/10995)
+ - Fixed user budget reset functionality - [PR](https://github.com/BerriAI/litellm/pull/10993)
+ - Fixed SSO user compatibility and email validation - [PR](https://github.com/BerriAI/litellm/pull/11106)
+
+- **Database & Infrastructure**
+ - Fixed DB connection parameter handling - [PR](https://github.com/BerriAI/litellm/pull/10842)
+ - Fixed email invitation link - [PR](https://github.com/BerriAI/litellm/pull/11031)
+
+- **UI & Display**
+ - Fixed MCP tool rendering when no arguments required - [PR](https://github.com/BerriAI/litellm/pull/11012)
+ - Fixed team model alias deletion - [PR](https://github.com/BerriAI/litellm/pull/11121)
+ - Fixed team viewer permissions - [PR](https://github.com/BerriAI/litellm/pull/11127)
+
+- **Model & Routing**
+ - Fixed team model mapping in route requests - [PR](https://github.com/BerriAI/litellm/pull/11111)
+ - Fixed standard optional parameter passing - [PR](https://github.com/BerriAI/litellm/pull/11124)
+
+
+## New Contributors
+* [@DarinVerheijke](https://github.com/DarinVerheijke) made their first contribution in PR [#10596](https://github.com/BerriAI/litellm/pull/10596)
+* [@estsauver](https://github.com/estsauver) made their first contribution in PR [#10929](https://github.com/BerriAI/litellm/pull/10929)
+* [@mohittalele](https://github.com/mohittalele) made their first contribution in PR [#10665](https://github.com/BerriAI/litellm/pull/10665)
+* [@pselden](https://github.com/pselden) made their first contribution in PR [#10899](https://github.com/BerriAI/litellm/pull/10899)
+* [@unrealandychan](https://github.com/unrealandychan) made their first contribution in PR [#10842](https://github.com/BerriAI/litellm/pull/10842)
+* [@dastaiger](https://github.com/dastaiger) made their first contribution in PR [#10946](https://github.com/BerriAI/litellm/pull/10946)
+* [@slytechnical](https://github.com/slytechnical) made their first contribution in PR [#10881](https://github.com/BerriAI/litellm/pull/10881)
+* [@daarko10](https://github.com/daarko10) made their first contribution in PR [#11006](https://github.com/BerriAI/litellm/pull/11006)
+* [@sorenmat](https://github.com/sorenmat) made their first contribution in PR [#10658](https://github.com/BerriAI/litellm/pull/10658)
+* [@matthid](https://github.com/matthid) made their first contribution in PR [#10982](https://github.com/BerriAI/litellm/pull/10982)
+* [@jgowdy-godaddy](https://github.com/jgowdy-godaddy) made their first contribution in PR [#11032](https://github.com/BerriAI/litellm/pull/11032)
+* [@bepotp](https://github.com/bepotp) made their first contribution in PR [#11008](https://github.com/BerriAI/litellm/pull/11008)
+* [@jmorenoc-o](https://github.com/jmorenoc-o) made their first contribution in PR [#11031](https://github.com/BerriAI/litellm/pull/11031)
+* [@martin-liu](https://github.com/martin-liu) made their first contribution in PR [#11076](https://github.com/BerriAI/litellm/pull/11076)
+* [@gunjan-solanki](https://github.com/gunjan-solanki) made their first contribution in PR [#11064](https://github.com/BerriAI/litellm/pull/11064)
+* [@tokoko](https://github.com/tokoko) made their first contribution in PR [#10980](https://github.com/BerriAI/litellm/pull/10980)
+* [@spike-spiegel-21](https://github.com/spike-spiegel-21) made their first contribution in PR [#10649](https://github.com/BerriAI/litellm/pull/10649)
+* [@kreatoo](https://github.com/kreatoo) made their first contribution in PR [#10927](https://github.com/BerriAI/litellm/pull/10927)
+* [@baejooc](https://github.com/baejooc) made their first contribution in PR [#10887](https://github.com/BerriAI/litellm/pull/10887)
+* [@keykbd](https://github.com/keykbd) made their first contribution in PR [#11114](https://github.com/BerriAI/litellm/pull/11114)
+* [@dalssoft](https://github.com/dalssoft) made their first contribution in PR [#11088](https://github.com/BerriAI/litellm/pull/11088)
+* [@jtong99](https://github.com/jtong99) made their first contribution in PR [#10853](https://github.com/BerriAI/litellm/pull/10853)
+
+## Demo Instance
+
+Here's a Demo Instance to test changes:
+
+- Instance: https://demo.litellm.ai/
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## [Git Diff](https://github.com/BerriAI/litellm/releases)
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 59bf42c930..89020a7f3b 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -217,6 +217,7 @@ const sidebars = {
label: "/images",
items: [
"image_generation",
+ "image_edits",
"image_variations",
]
},
@@ -266,7 +267,14 @@ const sidebars = {
]
},
"realtime",
- "fine_tuning",
+ {
+ type: "category",
+ label: "/fine_tuning",
+ items: [
+ "fine_tuning",
+ "proxy/managed_finetuning",
+ ]
+ },
"moderation",
"apply_guardrail",
],
@@ -460,6 +468,7 @@ const sidebars = {
"observability/agentops_integration",
"observability/langfuse_integration",
"observability/lunary_integration",
+ "observability/deepeval_integration",
"observability/mlflow",
"observability/gcs_bucket_integration",
"observability/langsmith_integration",
diff --git a/docs/my-website/static/llms-full.txt b/docs/my-website/static/llms-full.txt
new file mode 100644
index 0000000000..30cc424f85
--- /dev/null
+++ b/docs/my-website/static/llms-full.txt
@@ -0,0 +1,9164 @@
+# https://docs.litellm.ai/ llms-full.txt
+
+## LiteLLM Overview
+[Skip to main content](https://docs.litellm.ai/#__docusaurus_skipToContent_fallback)
+
+# LiteLLM - Getting Started
+
+[https://github.com/BerriAI/litellm](https://github.com/BerriAI/litellm)
+
+## **Call 100+ LLMs using the OpenAI Input/Output Format** [](https://docs.litellm.ai/\#call-100-llms-using-the-openai-inputoutput-format "Direct link to call-100-llms-using-the-openai-inputoutput-format")
+
+- Translate inputs to provider's `completion`, `embedding`, and `image_generation` endpoints
+- [Consistent output](https://docs.litellm.ai/docs/completion/output), text responses will always be available at `['choices'][0]['message']['content']`
+- Retry/fallback logic across multiple deployments (e.g. Azure/OpenAI) - [Router](https://docs.litellm.ai/docs/routing)
+- Track spend & set budgets per project [LiteLLM Proxy Server](https://docs.litellm.ai/docs/simple_proxy)
+
+## How to use LiteLLM [](https://docs.litellm.ai/\#how-to-use-litellm "Direct link to How to use LiteLLM")
+
+You can use litellm through either:
+
+1. [LiteLLM Proxy Server](https://docs.litellm.ai/#litellm-proxy-server-llm-gateway) \- Server (LLM Gateway) to call 100+ LLMs, load balance, cost tracking across projects
+2. [LiteLLM python SDK](https://docs.litellm.ai/#basic-usage) \- Python Client to call 100+ LLMs, load balance, cost tracking
+
+### **When to use LiteLLM Proxy Server (LLM Gateway)** [](https://docs.litellm.ai/\#when-to-use-litellm-proxy-server-llm-gateway "Direct link to when-to-use-litellm-proxy-server-llm-gateway")
+
+tip
+
+Use LiteLLM Proxy Server if you want a **central service (LLM Gateway) to access multiple LLMs**
+
+Typically used by Gen AI Enablement / ML PLatform Teams
+
+- LiteLLM Proxy gives you a unified interface to access multiple LLMs (100+ LLMs)
+- Track LLM Usage and setup guardrails
+- Customize Logging, Guardrails, Caching per project
+
+### **When to use LiteLLM Python SDK** [](https://docs.litellm.ai/\#when-to-use-litellm-python-sdk "Direct link to when-to-use-litellm-python-sdk")
+
+tip
+
+Use LiteLLM Python SDK if you want to use LiteLLM in your **python code**
+
+Typically used by developers building llm projects
+
+- LiteLLM SDK gives you a unified interface to access multiple LLMs (100+ LLMs)
+- Retry/fallback logic across multiple deployments (e.g. Azure/OpenAI) - [Router](https://docs.litellm.ai/docs/routing)
+
+## **LiteLLM Python SDK** [](https://docs.litellm.ai/\#litellm-python-sdk "Direct link to litellm-python-sdk")
+
+### Basic usage [](https://docs.litellm.ai/\#basic-usage "Direct link to Basic usage")
+
+[](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_Getting_Started.ipynb)
+
+```codeBlockLines_e6Vv
+pip install litellm
+
+```
+
+- OpenAI
+- Anthropic
+- VertexAI
+- NVIDIA
+- HuggingFace
+- Azure OpenAI
+- Ollama
+- Openrouter
+- Novita AI
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+
+response = completion(
+ model="gpt-3.5-turbo",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+response = completion(
+ model="claude-2",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+# auth: run 'gcloud auth application-default'
+os.environ["VERTEX_PROJECT"] = "hardy-device-386718"
+os.environ["VERTEX_LOCATION"] = "us-central1"
+
+response = completion(
+ model="chat-bison",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["NVIDIA_NIM_API_KEY"] = "nvidia_api_key"
+os.environ["NVIDIA_NIM_API_BASE"] = "nvidia_nim_endpoint_url"
+
+response = completion(
+ model="nvidia_nim/",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key"
+
+# e.g. Call 'WizardLM/WizardCoder-Python-34B-V1.0' hosted on HF Inference endpoints
+response = completion(
+ model="huggingface/WizardLM/WizardCoder-Python-34B-V1.0",
+ messages=[{ "content": "Hello, how are you?","role": "user"}],
+ api_base="https://my-endpoint.huggingface.cloud"
+)
+
+print(response)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["AZURE_API_KEY"] = ""
+os.environ["AZURE_API_BASE"] = ""
+os.environ["AZURE_API_VERSION"] = ""
+
+# azure call
+response = completion(
+ "azure/",
+ messages = [{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+response = completion(
+ model="ollama/llama2",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+ api_base="http://localhost:11434"
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["OPENROUTER_API_KEY"] = "openrouter_api_key"
+
+response = completion(
+ model="openrouter/google/palm-2-chat-bison",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables. Visit https://novita.ai/settings/key-management to get your API key
+os.environ["NOVITA_API_KEY"] = "novita-api-key"
+
+response = completion(
+ model="novita/deepseek/deepseek-r1",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+
+```
+
+### Streaming [](https://docs.litellm.ai/\#streaming "Direct link to Streaming")
+
+Set `stream=True` in the `completion` args.
+
+- OpenAI
+- Anthropic
+- VertexAI
+- NVIDIA
+- HuggingFace
+- Azure OpenAI
+- Ollama
+- Openrouter
+- Novita AI
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+
+response = completion(
+ model="gpt-3.5-turbo",
+ messages=[{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["ANTHROPIC_API_KEY"] = "your-api-key"
+
+response = completion(
+ model="claude-2",
+ messages=[{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+# auth: run 'gcloud auth application-default'
+os.environ["VERTEX_PROJECT"] = "hardy-device-386718"
+os.environ["VERTEX_LOCATION"] = "us-central1"
+
+response = completion(
+ model="chat-bison",
+ messages=[{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["NVIDIA_NIM_API_KEY"] = "nvidia_api_key"
+os.environ["NVIDIA_NIM_API_BASE"] = "nvidia_nim_endpoint_url"
+
+response = completion(
+ model="nvidia_nim/",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key"
+
+# e.g. Call 'WizardLM/WizardCoder-Python-34B-V1.0' hosted on HF Inference endpoints
+response = completion(
+ model="huggingface/WizardLM/WizardCoder-Python-34B-V1.0",
+ messages=[{ "content": "Hello, how are you?","role": "user"}],
+ api_base="https://my-endpoint.huggingface.cloud",
+ stream=True,
+)
+
+print(response)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["AZURE_API_KEY"] = ""
+os.environ["AZURE_API_BASE"] = ""
+os.environ["AZURE_API_VERSION"] = ""
+
+# azure call
+response = completion(
+ "azure/",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+response = completion(
+ model="ollama/llama2",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+ api_base="http://localhost:11434",
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["OPENROUTER_API_KEY"] = "openrouter_api_key"
+
+response = completion(
+ model="openrouter/google/palm-2-chat-bison",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+```codeBlockLines_e6Vv
+from litellm import completion
+import os
+
+## set ENV variables. Visit https://novita.ai/settings/key-management to get your API key
+os.environ["NOVITA_API_KEY"] = "novita_api_key"
+
+response = completion(
+ model="novita/deepseek/deepseek-r1",
+ messages = [{ "content": "Hello, how are you?","role": "user"}],
+ stream=True,
+)
+
+```
+
+### Exception handling [](https://docs.litellm.ai/\#exception-handling "Direct link to Exception handling")
+
+LiteLLM maps exceptions across all supported providers to the OpenAI exceptions. All our exceptions inherit from OpenAI's exception types, so any error-handling you have for that, should work out of the box with LiteLLM.
+
+```codeBlockLines_e6Vv
+from openai.error import OpenAIError
+from litellm import completion
+
+os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+try:
+ # some code
+ completion(model="claude-instant-1", messages=[{"role": "user", "content": "Hey, how's it going?"}])
+except OpenAIError as e:
+ print(e)
+
+```
+
+### Logging Observability - Log LLM Input/Output ( [Docs](https://docs.litellm.ai/docs/observability/callbacks)) [](https://docs.litellm.ai/\#logging-observability---log-llm-inputoutput-docs "Direct link to logging-observability---log-llm-inputoutput-docs")
+
+LiteLLM exposes pre defined callbacks to send data to MLflow, Lunary, Langfuse, Helicone, Promptlayer, Traceloop, Slack
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+## set env variables for logging tools (API key set up is not required when using MLflow)
+os.environ["LUNARY_PUBLIC_KEY"] = "your-lunary-public-key" # get your key at https://app.lunary.ai/settings
+os.environ["HELICONE_API_KEY"] = "your-helicone-key"
+os.environ["LANGFUSE_PUBLIC_KEY"] = ""
+os.environ["LANGFUSE_SECRET_KEY"] = ""
+
+os.environ["OPENAI_API_KEY"]
+
+# set callbacks
+litellm.success_callback = ["lunary", "mlflow", "langfuse", "helicone"] # log input/output to lunary, mlflow, langfuse, helicone
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+```
+
+### Track Costs, Usage, Latency for streaming [](https://docs.litellm.ai/\#track-costs-usage-latency-for-streaming "Direct link to Track Costs, Usage, Latency for streaming")
+
+Use a callback function for this - more info on custom callbacks: [https://docs.litellm.ai/docs/observability/custom\_callback](https://docs.litellm.ai/docs/observability/custom_callback)
+
+```codeBlockLines_e6Vv
+import litellm
+
+# track_cost_callback
+def track_cost_callback(
+ kwargs, # kwargs to completion
+ completion_response, # response from completion
+ start_time, end_time # start/end time
+):
+ try:
+ response_cost = kwargs.get("response_cost", 0)
+ print("streaming response_cost", response_cost)
+ except:
+ pass
+# set callback
+litellm.success_callback = [track_cost_callback] # set custom callback function
+
+# litellm.completion() call
+response = completion(
+ model="gpt-3.5-turbo",
+ messages=[\
+ {\
+ "role": "user",\
+ "content": "Hi 👋 - i'm openai"\
+ }\
+ ],
+ stream=True
+)
+
+```
+
+## **LiteLLM Proxy Server (LLM Gateway)** [](https://docs.litellm.ai/\#litellm-proxy-server-llm-gateway "Direct link to litellm-proxy-server-llm-gateway")
+
+Track spend across multiple projects/people
+
+
+
+The proxy provides:
+
+1. [Hooks for auth](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
+2. [Hooks for logging](https://docs.litellm.ai/docs/proxy/logging#step-1---create-your-custom-litellm-callback-class)
+3. [Cost tracking](https://docs.litellm.ai/docs/proxy/virtual_keys#tracking-spend)
+4. [Rate Limiting](https://docs.litellm.ai/docs/proxy/users#set-rate-limits)
+
+### 📖 Proxy Endpoints - [Swagger Docs](https://litellm-api.up.railway.app/) [](https://docs.litellm.ai/\#-proxy-endpoints---swagger-docs "Direct link to -proxy-endpoints---swagger-docs")
+
+Go here for a complete tutorial with keys + rate limits - [**here**](https://docs.litellm.ai/proxy/docker_quick_start.md)
+
+### Quick Start Proxy - CLI [](https://docs.litellm.ai/\#quick-start-proxy---cli "Direct link to Quick Start Proxy - CLI")
+
+```codeBlockLines_e6Vv
+pip install 'litellm[proxy]'
+
+```
+
+#### Step 1: Start litellm proxy [](https://docs.litellm.ai/\#step-1-start-litellm-proxy "Direct link to Step 1: Start litellm proxy")
+
+- pip package
+- Docker container
+
+```codeBlockLines_e6Vv
+$ litellm --model huggingface/bigcode/starcoder
+
+#INFO: Proxy running on http://0.0.0.0:4000
+
+```
+
+### Step 1. CREATE config.yaml [](https://docs.litellm.ai/\#step-1-create-configyaml "Direct link to Step 1. CREATE config.yaml")
+
+Example `litellm_config.yaml`
+
+```codeBlockLines_e6Vv
+model_list:
+ - model_name: gpt-3.5-turbo
+ litellm_params:
+ model: azure/
+ api_base: os.environ/AZURE_API_BASE # runs os.getenv("AZURE_API_BASE")
+ api_key: os.environ/AZURE_API_KEY # runs os.getenv("AZURE_API_KEY")
+ api_version: "2023-07-01-preview"
+
+```
+
+### Step 2. RUN Docker Image [](https://docs.litellm.ai/\#step-2-run-docker-image "Direct link to Step 2. RUN Docker Image")
+
+```codeBlockLines_e6Vv
+docker run \
+ -v $(pwd)/litellm_config.yaml:/app/config.yaml \
+ -e AZURE_API_KEY=d6*********** \
+ -e AZURE_API_BASE=https://openai-***********/ \
+ -p 4000:4000 \
+ ghcr.io/berriai/litellm:main-latest \
+ --config /app/config.yaml --detailed_debug
+
+```
+
+#### Step 2: Make ChatCompletions Request to Proxy [](https://docs.litellm.ai/\#step-2-make-chatcompletions-request-to-proxy "Direct link to Step 2: Make ChatCompletions Request to Proxy")
+
+```codeBlockLines_e6Vv
+import openai # openai v1.0.0+
+client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:4000") # set proxy to base_url
+# request sent to model set on litellm proxy, `litellm --model`
+response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [\
+ {\
+ "role": "user",\
+ "content": "this is a test request, write a short poem"\
+ }\
+])
+
+print(response)
+
+```
+
+## More details [](https://docs.litellm.ai/\#more-details "Direct link to More details")
+
+- [exception mapping](https://docs.litellm.ai/docs/exception_mapping)
+- [E2E Tutorial for LiteLLM Proxy Server](https://docs.litellm.ai/docs/proxy/docker_quick_start)
+- [proxy virtual keys & spend management](https://docs.litellm.ai/docs/proxy/virtual_keys)
+
+- [**Call 100+ LLMs using the OpenAI Input/Output Format**](https://docs.litellm.ai/#call-100-llms-using-the-openai-inputoutput-format)
+- [How to use LiteLLM](https://docs.litellm.ai/#how-to-use-litellm)
+ - [**When to use LiteLLM Proxy Server (LLM Gateway)**](https://docs.litellm.ai/#when-to-use-litellm-proxy-server-llm-gateway)
+ - [**When to use LiteLLM Python SDK**](https://docs.litellm.ai/#when-to-use-litellm-python-sdk)
+- [**LiteLLM Python SDK**](https://docs.litellm.ai/#litellm-python-sdk)
+ - [Basic usage](https://docs.litellm.ai/#basic-usage)
+ - [Streaming](https://docs.litellm.ai/#streaming)
+ - [Exception handling](https://docs.litellm.ai/#exception-handling)
+ - [Logging Observability - Log LLM Input/Output (Docs)](https://docs.litellm.ai/#logging-observability---log-llm-inputoutput-docs)
+ - [Track Costs, Usage, Latency for streaming](https://docs.litellm.ai/#track-costs-usage-latency-for-streaming)
+- [**LiteLLM Proxy Server (LLM Gateway)**](https://docs.litellm.ai/#litellm-proxy-server-llm-gateway)
+ - [📖 Proxy Endpoints - Swagger Docs](https://docs.litellm.ai/#-proxy-endpoints---swagger-docs)
+ - [Quick Start Proxy - CLI](https://docs.litellm.ai/#quick-start-proxy---cli)
+ - [Step 1. CREATE config.yaml](https://docs.litellm.ai/#step-1-create-configyaml)
+ - [Step 2. RUN Docker Image](https://docs.litellm.ai/#step-2-run-docker-image)
+- [More details](https://docs.litellm.ai/#more-details)
+
+## Completion Function Guide
+[Skip to main content](https://docs.litellm.ai/completion/input#__docusaurus_skipToContent_fallback)
+
+# Completion Function - completion()
+
+The Input params are **exactly the same** as the
+
+[OpenAI Create chat completion](https://platform.openai.com/docs/api-reference/chat/create), and let you call \*\*Azure OpenAI, Anthropic, Cohere, Replicate, OpenRouter, Novita AI\*\* models in the same format.
+
+In addition, liteLLM allows you to pass in the following **Optional** liteLLM args:
+`force_timeout`, `azure`, `logger_fn`, `verbose`
+
+## Input - Request Body [](https://docs.litellm.ai/completion/input\#input---request-body "Direct link to Input - Request Body")
+
+# Request Body
+
+**Required Fields**
+
+- `model`: _string_ \- ID of the model to use. Refer to the model endpoint compatibility table for details on which models work with the Chat API.
+- `messages`: _array_ \- A list of messages comprising the conversation so far.
+
+_Note_ \- Each message in the array contains the following properties:
+
+```codeBlockLines_e6Vv
+- `role`: *string* - The role of the message's author. Roles can be: system, user, assistant, or function.
+
+- `content`: *string or null* - The contents of the message. It is required for all messages, but may be null for assistant messages with function calls.
+
+- `name`: *string (optional)* - The name of the author of the message. It is required if the role is "function". The name should match the name of the function represented in the content. It can contain characters (a-z, A-Z, 0-9), and underscores, with a maximum length of 64 characters.
+
+- `function_call`: *object (optional)* - The name and arguments of a function that should be called, as generated by the model.
+
+```
+
+**Optional Fields**
+
+- `functions`: _array_ \- A list of functions that the model may use to generate JSON inputs. Each function should have the following properties:
+
+ - `name`: _string_ \- The name of the function to be called. It should contain a-z, A-Z, 0-9, underscores and dashes, with a maximum length of 64 characters.
+ - `description`: _string (optional)_ \- A description explaining what the function does. It helps the model to decide when and how to call the function.
+ - `parameters`: _object_ \- The parameters that the function accepts, described as a JSON Schema object.
+ - `function_call`: _string or object (optional)_ \- Controls how the model responds to function calls.
+- `temperature`: _number or null (optional)_ \- The sampling temperature to be used, between 0 and 2. Higher values like 0.8 produce more random outputs, while lower values like 0.2 make outputs more focused and deterministic.
+
+- `top_p`: _number or null (optional)_ \- An alternative to sampling with temperature. It instructs the model to consider the results of the tokens with top\_p probability. For example, 0.1 means only the tokens comprising the top 10% probability mass are considered.
+
+- `n`: _integer or null (optional)_ \- The number of chat completion choices to generate for each input message.
+
+- `stream`: _boolean or null (optional)_ \- If set to true, it sends partial message deltas. Tokens will be sent as they become available, with the stream terminated by a \[DONE\] message.
+
+- `stop`: _string/ array/ null (optional)_ \- Up to 4 sequences where the API will stop generating further tokens.
+
+- `max_tokens`: _integer (optional)_ \- The maximum number of tokens to generate in the chat completion.
+
+- `presence_penalty`: _number or null (optional)_ \- It is used to penalize new tokens based on their existence in the text so far.
+
+- `frequency_penalty`: _number or null (optional)_ \- It is used to penalize new tokens based on their frequency in the text so far.
+
+- `logit_bias`: _map (optional)_ \- Used to modify the probability of specific tokens appearing in the completion.
+
+- `user`: _string (optional)_ \- A unique identifier representing your end-user. This can help OpenAI to monitor and detect abuse.
+
+
+- [Input - Request Body](https://docs.litellm.ai/completion/input#input---request-body)
+
+## Litellm Completion Function
+[Skip to main content](https://docs.litellm.ai/completion/output#__docusaurus_skipToContent_fallback)
+
+# Completion Function - completion()
+
+Here's the exact json output you can expect from a litellm `completion` call:
+
+```codeBlockLines_e6Vv
+{'choices': [{'finish_reason': 'stop',\
+ 'index': 0,\
+ 'message': {'role': 'assistant',\
+ 'content': " I'm doing well, thank you for asking. I am Claude, an AI assistant created by Anthropic."}}],
+ 'created': 1691429984.3852863,
+ 'model': 'claude-instant-1',
+ 'usage': {'prompt_tokens': 18, 'completion_tokens': 23, 'total_tokens': 41}}
+
+```
+
+## AI Completion Models
+[Skip to main content](https://docs.litellm.ai/completion/supported#__docusaurus_skipToContent_fallback)
+
+# Generation/Completion/Chat Completion Models
+
+### OpenAI Chat Completion Models [](https://docs.litellm.ai/completion/supported\#openai-chat-completion-models "Direct link to OpenAI Chat Completion Models")
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']` |
+| gpt-3.5-turbo-16k | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
+| gpt-3.5-turbo-16k-0613 | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
+| gpt-4 | `completion('gpt-4', messages)` | `os.environ['OPENAI_API_KEY']` |
+
+## Azure OpenAI Chat Completion Models [](https://docs.litellm.ai/completion/supported\#azure-openai-chat-completion-models "Direct link to Azure OpenAI Chat Completion Models")
+
+For Azure calls add the `azure/` prefix to `model`. If your azure deployment name is `gpt-v-2` set `model` = `azure/gpt-v-2`
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| gpt-3.5-turbo | `completion('azure/gpt-3.5-turbo-deployment', messages)` | `os.environ['AZURE_API_KEY']`, `os.environ['AZURE_API_BASE']`, `os.environ['AZURE_API_VERSION']` |
+| gpt-4 | `completion('azure/gpt-4-deployment', messages)` | `os.environ['AZURE_API_KEY']`, `os.environ['AZURE_API_BASE']`, `os.environ['AZURE_API_VERSION']` |
+
+### OpenAI Text Completion Models [](https://docs.litellm.ai/completion/supported\#openai-text-completion-models "Direct link to OpenAI Text Completion Models")
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']` |
+
+### Cohere Models [](https://docs.litellm.ai/completion/supported\#cohere-models "Direct link to Cohere Models")
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| command-nightly | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']` |
+
+### Anthropic Models [](https://docs.litellm.ai/completion/supported\#anthropic-models "Direct link to Anthropic Models")
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| claude-instant-1 | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
+| claude-2 | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
+
+### Hugging Face Inference API [](https://docs.litellm.ai/completion/supported\#hugging-face-inference-api "Direct link to Hugging Face Inference API")
+
+All [`text2text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text2text-generation&sort=downloads) and [`text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text-generation&sort=downloads) models are supported by liteLLM. You can use any text model from Hugging Face with the following steps:
+
+- Copy the `model repo` URL from Hugging Face and set it as the `model` parameter in the completion call.
+- Set `hugging_face` parameter to `True`.
+- Make sure to set the hugging face API key
+
+Here are some examples of supported models:
+**Note that the models mentioned in the table are examples, and you can use any text model available on Hugging Face by following the steps above.**
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| [stabilityai/stablecode-completion-alpha-3b-4k](https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k) | `completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
+| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) | `completion(model="bigcode/starcoder", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
+| [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) | `completion(model="google/flan-t5-xxl", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
+| [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) | `completion(model="google/flan-t5-large", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']` |
+
+### OpenRouter Completion Models [](https://docs.litellm.ai/completion/supported\#openrouter-completion-models "Direct link to OpenRouter Completion Models")
+
+All the text models from [OpenRouter](https://openrouter.ai/docs) are supported by liteLLM.
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| google/palm-2-chat-bison | `completion('google/palm-2-chat-bison', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| google/palm-2-codechat-bison | `completion('google/palm-2-codechat-bison', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| meta-llama/llama-2-13b-chat | `completion('meta-llama/llama-2-13b-chat', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+| meta-llama/llama-2-70b-chat | `completion('meta-llama/llama-2-70b-chat', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
+
+## Novita AI Completion Models [](https://docs.litellm.ai/completion/supported\#novita-ai-completion-models "Direct link to Novita AI Completion Models")
+
+🚨 LiteLLM supports ALL Novita AI models, send `model=novita/` to send it to Novita AI. See all Novita AI models [here](https://novita.ai/models/llm?utm_source=github_litellm&utm_medium=github_readme&utm_campaign=github_link)
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| novita/deepseek/deepseek-r1 | `completion('novita/deepseek/deepseek-r1', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/deepseek/deepseek\_v3 | `completion('novita/deepseek/deepseek_v3', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.3-70b-instruct | `completion('novita/meta-llama/llama-3.3-70b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.1-8b-instruct | `completion('novita/meta-llama/llama-3.1-8b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.1-8b-instruct-max | `completion('novita/meta-llama/llama-3.1-8b-instruct-max', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.1-70b-instruct | `completion('novita/meta-llama/llama-3.1-70b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3-8b-instruct | `completion('novita/meta-llama/llama-3-8b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3-70b-instruct | `completion('novita/meta-llama/llama-3-70b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.2-1b-instruct | `completion('novita/meta-llama/llama-3.2-1b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.2-11b-vision-instruct | `completion('novita/meta-llama/llama-3.2-11b-vision-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/meta-llama/llama-3.2-3b-instruct | `completion('novita/meta-llama/llama-3.2-3b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/gryphe/mythomax-l2-13b | `completion('novita/gryphe/mythomax-l2-13b', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/google/gemma-2-9b-it | `completion('novita/google/gemma-2-9b-it', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/mistralai/mistral-nemo | `completion('novita/mistralai/mistral-nemo', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/mistralai/mistral-7b-instruct | `completion('novita/mistralai/mistral-7b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/qwen/qwen-2.5-72b-instruct | `completion('novita/qwen/qwen-2.5-72b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+| novita/qwen/qwen-2-vl-72b-instruct | `completion('novita/qwen/qwen-2-vl-72b-instruct', messages)` | `os.environ['NOVITA_API_KEY']` |
+
+- [OpenAI Chat Completion Models](https://docs.litellm.ai/completion/supported#openai-chat-completion-models)
+- [Azure OpenAI Chat Completion Models](https://docs.litellm.ai/completion/supported#azure-openai-chat-completion-models)
+ - [OpenAI Text Completion Models](https://docs.litellm.ai/completion/supported#openai-text-completion-models)
+ - [Cohere Models](https://docs.litellm.ai/completion/supported#cohere-models)
+ - [Anthropic Models](https://docs.litellm.ai/completion/supported#anthropic-models)
+ - [Hugging Face Inference API](https://docs.litellm.ai/completion/supported#hugging-face-inference-api)
+ - [OpenRouter Completion Models](https://docs.litellm.ai/completion/supported#openrouter-completion-models)
+- [Novita AI Completion Models](https://docs.litellm.ai/completion/supported#novita-ai-completion-models)
+
+## Contact Litellm
+[Skip to main content](https://docs.litellm.ai/contact#__docusaurus_skipToContent_fallback)
+
+# Contact Us
+
+[](https://discord.gg/wuPM9dRgDw)
+
+- [Meet with us 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
+- Contact us at [ishaan@berri.ai](mailto:ishaan@berri.ai) / [krrish@berri.ai](mailto:krrish@berri.ai)
+
+## Contributing to Documentation
+[Skip to main content](https://docs.litellm.ai/contributing#__docusaurus_skipToContent_fallback)
+
+# Contributing to Documentation
+
+Clone litellm
+
+```codeBlockLines_e6Vv
+git clone https://github.com/BerriAI/litellm.git
+
+```
+
+### Local setup for locally running docs [](https://docs.litellm.ai/contributing\#local-setup-for-locally-running-docs "Direct link to Local setup for locally running docs")
+
+#### Installation [](https://docs.litellm.ai/contributing\#installation "Direct link to Installation")
+
+```codeBlockLines_e6Vv
+pip install mkdocs
+
+```
+
+#### Locally Serving Docs [](https://docs.litellm.ai/contributing\#locally-serving-docs "Direct link to Locally Serving Docs")
+
+```codeBlockLines_e6Vv
+mkdocs serve
+
+```
+
+If you see `command not found: mkdocs` try running the following
+
+```codeBlockLines_e6Vv
+python3 -m mkdocs serve
+
+```
+
+This command builds your Markdown files into HTML and starts a development server to browse your documentation. Open up [http://127.0.0.1:8000/](http://127.0.0.1:8000/) in your web browser to see your documentation. You can make changes to your Markdown files and your docs will automatically rebuild.
+
+[Full tutorial here](https://docs.readthedocs.io/en/stable/intro/getting-started-with-mkdocs.html)
+
+### Making changes to Docs [](https://docs.litellm.ai/contributing\#making-changes-to-docs "Direct link to Making changes to Docs")
+
+- All the docs are placed under the `docs` directory
+- If you are adding a new `.md` file or editing the hierarchy edit `mkdocs.yml` in the root of the project
+- After testing your changes, make a change to the `main` branch of [github.com/BerriAI/litellm](https://github.com/BerriAI/litellm)
+
+- [Local setup for locally running docs](https://docs.litellm.ai/contributing#local-setup-for-locally-running-docs)
+- [Making changes to Docs](https://docs.litellm.ai/contributing#making-changes-to-docs)
+
+## Supported Embedding Models
+[Skip to main content](https://docs.litellm.ai/embedding/supported_embedding#__docusaurus_skipToContent_fallback)
+
+# Embedding Models
+
+| Model Name | Function Call | Required OS Variables |
+| --- | --- | --- |
+| text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']` |
+
+## Docusaurus Setup Guide
+[Skip to main content](https://docs.litellm.ai/intro#__docusaurus_skipToContent_fallback)
+
+# Tutorial Intro
+
+Let's discover **Docusaurus in less than 5 minutes**.
+
+## Getting Started [](https://docs.litellm.ai/intro\#getting-started "Direct link to Getting Started")
+
+Get started by **creating a new site**.
+
+Or **try Docusaurus immediately** with **[docusaurus.new](https://docusaurus.new/)**.
+
+### What you'll need [](https://docs.litellm.ai/intro\#what-youll-need "Direct link to What you'll need")
+
+- [Node.js](https://nodejs.org/en/download/) version 16.14 or above:
+ - When installing Node.js, you are recommended to check all checkboxes related to dependencies.
+
+## Generate a new site [](https://docs.litellm.ai/intro\#generate-a-new-site "Direct link to Generate a new site")
+
+Generate a new Docusaurus site using the **classic template**.
+
+The classic template will automatically be added to your project after you run the command:
+
+```codeBlockLines_e6Vv
+npm init docusaurus@latest my-website classic
+
+```
+
+You can type this command into Command Prompt, Powershell, Terminal, or any other integrated terminal of your code editor.
+
+The command also installs all necessary dependencies you need to run Docusaurus.
+
+## Start your site [](https://docs.litellm.ai/intro\#start-your-site "Direct link to Start your site")
+
+Run the development server:
+
+```codeBlockLines_e6Vv
+cd my-website
+npm run start
+
+```
+
+The `cd` command changes the directory you're working with. In order to work with your newly created Docusaurus site, you'll need to navigate the terminal there.
+
+The `npm run start` command builds your website locally and serves it through a development server, ready for you to view at http://localhost:3000/.
+
+Open `docs/intro.md` (this page) and edit some lines: the site **reloads automatically** and displays your changes.
+
+- [Getting Started](https://docs.litellm.ai/intro#getting-started)
+ - [What you'll need](https://docs.litellm.ai/intro#what-youll-need)
+- [Generate a new site](https://docs.litellm.ai/intro#generate-a-new-site)
+- [Start your site](https://docs.litellm.ai/intro#start-your-site)
+
+## Callbacks for Data Output
+[Skip to main content](https://docs.litellm.ai/observability/callbacks#__docusaurus_skipToContent_fallback)
+
+# Callbacks
+
+## Use Callbacks to send Output Data to Posthog, Sentry etc [](https://docs.litellm.ai/observability/callbacks\#use-callbacks-to-send-output-data-to-posthog-sentry-etc "Direct link to Use Callbacks to send Output Data to Posthog, Sentry etc")
+
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
+
+liteLLM supports:
+
+- [Lunary](https://lunary.ai/docs)
+- [Helicone](https://docs.helicone.ai/introduction)
+- [Sentry](https://docs.sentry.io/platforms/python/)
+- [PostHog](https://posthog.com/docs/libraries/python)
+- [Slack](https://slack.dev/bolt-python/concepts)
+
+### Quick Start [](https://docs.litellm.ai/observability/callbacks\#quick-start "Direct link to Quick Start")
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+# set callbacks
+litellm.success_callback=["posthog", "helicone", "lunary"]
+litellm.failure_callback=["sentry", "lunary"]
+
+## set env variables
+os.environ['SENTRY_DSN'], os.environ['SENTRY_API_TRACE_RATE']= ""
+os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
+os.environ["HELICONE_API_KEY"] = ""
+
+response = completion(model="gpt-3.5-turbo", messages=messages)
+
+```
+
+- [Use Callbacks to send Output Data to Posthog, Sentry etc](https://docs.litellm.ai/observability/callbacks#use-callbacks-to-send-output-data-to-posthog-sentry-etc)
+ - [Quick Start](https://docs.litellm.ai/observability/callbacks#quick-start)
+
+## Helicone Integration Guide
+[Skip to main content](https://docs.litellm.ai/observability/helicone_integration#__docusaurus_skipToContent_fallback)
+
+# Helicone Tutorial
+
+[Helicone](https://helicone.ai/) is an open source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.
+
+## Use Helicone to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM) [](https://docs.litellm.ai/observability/helicone_integration\#use-helicone-to-log-requests-across-all-llm-providers-openai-azure-anthropic-cohere-replicate-palm "Direct link to Use Helicone to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)")
+
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
+
+In this case, we want to log requests to Helicone when a request succeeds.
+
+### Approach 1: Use Callbacks [](https://docs.litellm.ai/observability/helicone_integration\#approach-1-use-callbacks "Direct link to Approach 1: Use Callbacks")
+
+Use just 1 line of code, to instantly log your responses **across all providers** with helicone:
+
+```codeBlockLines_e6Vv
+litellm.success_callback=["helicone"]
+
+```
+
+Complete code
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+## set env variables
+os.environ["HELICONE_API_KEY"] = "your-helicone-key"
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback=["helicone"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+#cohere call
+response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}])
+
+```
+
+### Approach 2: \[OpenAI + Azure only\] Use Helicone as a proxy [](https://docs.litellm.ai/observability/helicone_integration\#approach-2-openai--azure-only-use-helicone-as-a-proxy "Direct link to approach-2-openai--azure-only-use-helicone-as-a-proxy")
+
+Helicone provides advanced functionality like caching, etc. Helicone currently supports this for Azure and OpenAI.
+
+If you want to use Helicone to proxy your OpenAI/Azure requests, then you can -
+
+- Set helicone as your base url via: `litellm.api_url`
+- Pass in helicone request headers via: `litellm.headers`
+
+Complete Code
+
+```codeBlockLines_e6Vv
+import litellm
+from litellm import completion
+
+litellm.api_base = "https://oai.hconeai.com/v1"
+litellm.headers = {"Helicone-Auth": f"Bearer {os.getenv('HELICONE_API_KEY')}"}
+
+response = litellm.completion(
+ model="gpt-3.5-turbo",
+ messages=[{"role": "user", "content": "how does a court case get to the Supreme Court?"}]
+)
+
+print(response)
+
+```
+
+- [Use Helicone to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)](https://docs.litellm.ai/observability/helicone_integration#use-helicone-to-log-requests-across-all-llm-providers-openai-azure-anthropic-cohere-replicate-palm)
+ - [Approach 1: Use Callbacks](https://docs.litellm.ai/observability/helicone_integration#approach-1-use-callbacks)
+ - [Approach 2: OpenAI + Azure only Use Helicone as a proxy](https://docs.litellm.ai/observability/helicone_integration#approach-2-openai--azure-only-use-helicone-as-a-proxy)
+
+## Supabase Integration Guide
+[Skip to main content](https://docs.litellm.ai/observability/supabase_integration#__docusaurus_skipToContent_fallback)
+
+# Supabase Tutorial
+
+[Supabase](https://supabase.com/) is an open source Firebase alternative.
+Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, Storage, and Vector embeddings.
+
+## Use Supabase to log requests and see total spend across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM) [](https://docs.litellm.ai/observability/supabase_integration\#use-supabase-to-log-requests-and-see-total-spend-across-all-llm-providers-openai-azure-anthropic-cohere-replicate-palm "Direct link to Use Supabase to log requests and see total spend across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)")
+
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
+
+In this case, we want to log requests to Supabase in both scenarios - when it succeeds and fails.
+
+### Create a supabase table [](https://docs.litellm.ai/observability/supabase_integration\#create-a-supabase-table "Direct link to Create a supabase table")
+
+Go to your Supabase project > go to the [Supabase SQL Editor](https://supabase.com/dashboard/projects) and create a new table with this configuration.
+
+Note: You can change the table name. Just don't change the column names.
+
+```codeBlockLines_e6Vv
+create table
+ public.request_logs (
+ id bigint generated by default as identity,
+ created_at timestamp with time zone null default now(),
+ model text null default ''::text,
+ messages json null default '{}'::json,
+ response json null default '{}'::json,
+ end_user text null default ''::text,
+ error json null default '{}'::json,
+ response_time real null default '0'::real,
+ total_cost real null,
+ additional_details json null default '{}'::json,
+ constraint request_logs_pkey primary key (id)
+ ) tablespace pg_default;
+
+```
+
+### Use Callbacks [](https://docs.litellm.ai/observability/supabase_integration\#use-callbacks "Direct link to Use Callbacks")
+
+Use just 2 lines of code, to instantly see costs and log your responses **across all providers** with Supabase:
+
+```codeBlockLines_e6Vv
+litellm.success_callback=["supabase"]
+litellm.failure_callback=["supabase"]
+
+```
+
+Complete code
+
+```codeBlockLines_e6Vv
+from litellm import completion
+
+## set env variables
+### SUPABASE
+os.environ["SUPABASE_URL"] = "your-supabase-url"
+os.environ["SUPABASE_KEY"] = "your-supabase-key"
+
+## LLM API KEY
+os.environ["OPENAI_API_KEY"] = ""
+
+# set callbacks
+litellm.success_callback=["supabase"]
+litellm.failure_callback=["supabase"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+#bad call
+response = completion(model="chatgpt-test", messages=[{"role": "user", "content": "Hi 👋 - i'm a bad call to test error logging"}])
+
+```
+
+### Additional Controls [](https://docs.litellm.ai/observability/supabase_integration\#additional-controls "Direct link to Additional Controls")
+
+**Different Table name**
+
+If you modified your table name, here's how to pass the new name.
+
+```codeBlockLines_e6Vv
+litellm.modify_integration("supabase",{"table_name": "litellm_logs"})
+
+```
+
+**Identify end-user**
+
+Here's how to map your llm call to an end-user
+
+```codeBlockLines_e6Vv
+litellm.identify({"end_user": "krrish@berri.ai"})
+
+```
+
+- [Use Supabase to log requests and see total spend across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)](https://docs.litellm.ai/observability/supabase_integration#use-supabase-to-log-requests-and-see-total-spend-across-all-llm-providers-openai-azure-anthropic-cohere-replicate-palm)
+ - [Create a supabase table](https://docs.litellm.ai/observability/supabase_integration#create-a-supabase-table)
+ - [Use Callbacks](https://docs.litellm.ai/observability/supabase_integration#use-callbacks)
+ - [Additional Controls](https://docs.litellm.ai/observability/supabase_integration#additional-controls)
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes#__docusaurus_skipToContent_fallback)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.70.1-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.70.1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+LiteLLM v1.70.1-stable is live now. Here are the key highlights of this release:
+
+- **Gemini Realtime API**: You can now call Gemini's Live API via the OpenAI /v1/realtime API
+- **Spend Logs Retention Period**: Enable deleting spend logs older than a certain period.
+- **PII Masking 2.0**: Easily configure masking or blocking specific PII/PHI entities on the UI
+
+## Gemini Realtime API [](https://docs.litellm.ai/release_notes\#gemini-realtime-api "Direct link to Gemini Realtime API")
+
+
+
+This release brings support for calling Gemini's realtime models (e.g. gemini-2.0-flash-live) via OpenAI's /v1/realtime API. This is great for developers as it lets them easily switch from OpenAI to Gemini by just changing the model name.
+
+Key Highlights:
+
+- Support for text + audio input/output
+- Support for setting session configurations (modality, instructions, activity detection) in the OpenAI format
+- Support for logging + usage tracking for realtime sessions
+
+This is currently supported via Google AI Studio. We plan to release VertexAI support over the coming week.
+
+[**Read more**](https://docs.litellm.ai/docs/providers/google_ai_studio/realtime)
+
+## Spend Logs Retention Period [](https://docs.litellm.ai/release_notes\#spend-logs-retention-period "Direct link to Spend Logs Retention Period")
+
+
+
+This release enables deleting LiteLLM Spend Logs older than a certain period. Since we now enable storing the raw request/response in the logs, deleting old logs ensures the database remains performant in production.
+
+[**Read more**](https://docs.litellm.ai/docs/proxy/spend_logs_deletion)
+
+## PII Masking 2.0 [](https://docs.litellm.ai/release_notes\#pii-masking-20 "Direct link to PII Masking 2.0")
+
+
+
+This release brings improvements to our Presidio PII Integration. As a Proxy Admin, you now have the ability to:
+
+- Mask or block specific entities (e.g., block medical licenses while masking other entities like emails).
+- Monitor guardrails in production. LiteLLM Logs will now show you the guardrail run, the entities it detected, and its confidence score for each entity.
+
+[**Read more**](https://docs.litellm.ai/docs/proxy/guardrails/pii_masking_v2)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **Gemini ( [VertexAI](https://docs.litellm.ai/docs/providers/vertex#usage-with-litellm-proxy-server) \+ [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini))**
+ - `/chat/completion`
+ - Handle audio input - [PR](https://github.com/BerriAI/litellm/pull/10739)
+ - Fixes maximum recursion depth issue when using deeply nested response schemas with Vertex AI by Increasing DEFAULT\_MAX\_RECURSE\_DEPTH from 10 to 100 in constants. [PR](https://github.com/BerriAI/litellm/pull/10798)
+ - Capture reasoning tokens in streaming mode - [PR](https://github.com/BerriAI/litellm/pull/10789)
+- **[Google AI Studio](https://docs.litellm.ai/docs/providers/google_ai_studio/realtime)**
+ - `/realtime`
+ - Gemini Multimodal Live API support
+ - Audio input/output support, optional param mapping, accurate usage calculation - [PR](https://github.com/BerriAI/litellm/pull/10909)
+- **[VertexAI](https://docs.litellm.ai/docs/providers/vertex#metallama-api)**
+ - `/chat/completion`
+ - Fix llama streaming error - where model response was nested in returned streaming chunk - [PR](https://github.com/BerriAI/litellm/pull/10878)
+- **[Ollama](https://docs.litellm.ai/docs/providers/ollama)**
+ - `/chat/completion`
+ - structure responses fix - [PR](https://github.com/BerriAI/litellm/pull/10617)
+- **[Bedrock](https://docs.litellm.ai/docs/providers/bedrock#litellm-proxy-usage)**
+ - [`/chat/completion`](https://docs.litellm.ai/docs/providers/bedrock#litellm-proxy-usage)
+ - Handle thinking\_blocks when assistant.content is None - [PR](https://github.com/BerriAI/litellm/pull/10688)
+ - Fixes to only allow accepted fields for tool json schema - [PR](https://github.com/BerriAI/litellm/pull/10062)
+ - Add bedrock sonnet prompt caching cost information
+ - Mistral Pixtral support - [PR](https://github.com/BerriAI/litellm/pull/10439)
+ - Tool caching support - [PR](https://github.com/BerriAI/litellm/pull/10897)
+ - [`/messages`](https://docs.litellm.ai/docs/anthropic_unified)
+ - allow using dynamic AWS Params - [PR](https://github.com/BerriAI/litellm/pull/10769)
+- **[Nvidia NIM](https://docs.litellm.ai/docs/providers/nvidia_nim)**
+ - [`/chat/completion`](https://docs.litellm.ai/docs/providers/nvidia_nim#usage---litellm-proxy-server)\[NEED DOCS ON SUPPORTED PARAMS\]
+ - Add tools, tool\_choice, parallel\_tool\_calls support - [PR](https://github.com/BerriAI/litellm/pull/10763)
+- **[Novita AI](https://docs.litellm.ai/docs/providers/novita)**
+ - New Provider added for `/chat/completion` routes - [PR](https://github.com/BerriAI/litellm/pull/9527)
+- **[Azure](https://docs.litellm.ai/docs/providers/azure)**
+ - [`/image/generation`](https://docs.litellm.ai/docs/providers/azure#image-generation)
+ - Fix azure dall e 3 call with custom model name - [PR](https://github.com/BerriAI/litellm/pull/10776)
+- **[Cohere](https://docs.litellm.ai/docs/providers/cohere)**
+ - [`/embeddings`](https://docs.litellm.ai/docs/providers/cohere#embedding)
+ - Migrate embedding to use `/v2/embed` \- adds support for output\_dimensions param - [PR](https://github.com/BerriAI/litellm/pull/10809)
+- **[Anthropic](https://docs.litellm.ai/docs/providers/anthropic)**
+ - [`/chat/completion`](https://docs.litellm.ai/docs/providers/anthropic#usage-with-litellm-proxy)
+ - Web search tool support - native + openai format - [Get Started](https://docs.litellm.ai/docs/providers/anthropic#anthropic-hosted-tools-computer-text-editor-web-search)
+- **[VLLM](https://docs.litellm.ai/docs/providers/vllm)**
+ - [`/embeddings`](https://docs.litellm.ai/docs/providers/vllm#embeddings)
+ - Support embedding input as list of integers
+- **[OpenAI](https://docs.litellm.ai/docs/providers/openai)**
+ - [`/chat/completion`](https://docs.litellm.ai/docs/providers/openai#usage---litellm-proxy-server)
+ - Fix - b64 file data input handling - [Get Started](https://docs.litellm.ai/docs/providers/openai#pdf-file-parsing)
+ - Add ‘supports\_pdf\_input’ to all vision models - [PR](https://github.com/BerriAI/litellm/pull/10897)
+
+## LLM API Endpoints [](https://docs.litellm.ai/release_notes\#llm-api-endpoints "Direct link to LLM API Endpoints")
+
+- [**Responses API**](https://docs.litellm.ai/docs/response_api)
+ - Fix delete API support - [PR](https://github.com/BerriAI/litellm/pull/10845)
+- [**Rerank API**](https://docs.litellm.ai/docs/rerank)
+ - `/v2/rerank` now registered as ‘llm\_api\_route’ - enabling non-admins to call it - [PR](https://github.com/BerriAI/litellm/pull/10861)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **`/chat/completion`, `/messages`**
+ - Anthropic - web search tool cost tracking - [PR](https://github.com/BerriAI/litellm/pull/10846)
+ - Groq - update model max tokens + cost information - [PR](https://github.com/BerriAI/litellm/pull/10077)
+- **`/audio/transcription`**
+ - Azure - Add gpt-4o-mini-tts pricing - [PR](https://github.com/BerriAI/litellm/pull/10807)
+ - Proxy - Fix tracking spend by tag - [PR](https://github.com/BerriAI/litellm/pull/10832)
+- **`/embeddings`**
+ - Azure AI - Add cohere embed v4 pricing - [PR](https://github.com/BerriAI/litellm/pull/10806)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Models**
+ - Ollama - adds api base param to UI
+- **Logs**
+ - Add team id, key alias, key hash filter on logs - [https://github.com/BerriAI/litellm/pull/10831](https://github.com/BerriAI/litellm/pull/10831)
+ - Guardrail tracing now in Logs UI - [https://github.com/BerriAI/litellm/pull/10893](https://github.com/BerriAI/litellm/pull/10893)
+- **Teams**
+ - Patch for updating team info when team in org and members not in org - [https://github.com/BerriAI/litellm/pull/10835](https://github.com/BerriAI/litellm/pull/10835)
+- **Guardrails**
+ - Add Bedrock, Presidio, Lakers guardrails on UI - [https://github.com/BerriAI/litellm/pull/10874](https://github.com/BerriAI/litellm/pull/10874)
+ - See guardrail info page - [https://github.com/BerriAI/litellm/pull/10904](https://github.com/BerriAI/litellm/pull/10904)
+ - Allow editing guardrails on UI - [https://github.com/BerriAI/litellm/pull/10907](https://github.com/BerriAI/litellm/pull/10907)
+- **Test Key**
+ - select guardrails to test on UI
+
+## Logging / Alerting Integrations [](https://docs.litellm.ai/release_notes\#logging--alerting-integrations "Direct link to Logging / Alerting Integrations")
+
+- **[StandardLoggingPayload](https://docs.litellm.ai/docs/proxy/logging_spec)**
+ - Log any `x-` headers in requester metadata - [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardloggingmetadata)
+ - Guardrail tracing now in standard logging payload - [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardloggingguardrailinformation)
+- **[Generic API Logger](https://docs.litellm.ai/docs/proxy/logging#custom-callback-apis-async)**
+ - Support passing application/json header
+- **[Arize Phoenix](https://docs.litellm.ai/docs/observability/phoenix_integration)**
+ - fix: URL encode OTEL\_EXPORTER\_OTLP\_TRACES\_HEADERS for Phoenix Integration - [PR](https://github.com/BerriAI/litellm/pull/10654)
+ - add guardrail tracing to OTEL, Arize phoenix - [PR](https://github.com/BerriAI/litellm/pull/10896)
+- **[PagerDuty](https://docs.litellm.ai/docs/proxy/pagerduty)**
+ - Pagerduty is now a free feature - [PR](https://github.com/BerriAI/litellm/pull/10857)
+- **[Alerting](https://docs.litellm.ai/docs/proxy/alerting)**
+ - Sending slack alerts on virtual key/user/team updates is now free - [PR](https://github.com/BerriAI/litellm/pull/10863)
+
+## Guardrails [](https://docs.litellm.ai/release_notes\#guardrails "Direct link to Guardrails")
+
+- **Guardrails**
+ - New `/apply_guardrail` endpoint for directly testing a guardrail - [PR](https://github.com/BerriAI/litellm/pull/10867)
+- **[Lakera](https://docs.litellm.ai/docs/proxy/guardrails/lakera_ai)**
+ - `/v2` endpoints support - [PR](https://github.com/BerriAI/litellm/pull/10880)
+- **[Presidio](https://docs.litellm.ai/docs/proxy/guardrails/pii_masking_v2)**
+ - Fixes handling of message content on presidio guardrail integration - [PR](https://github.com/BerriAI/litellm/pull/10197)
+ - Allow specifying PII Entities Config - [PR](https://github.com/BerriAI/litellm/pull/10810)
+- **[Aim Security](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)**
+ - Support for anonymization in AIM Guardrails - [PR](https://github.com/BerriAI/litellm/pull/10757)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+- **Allow overriding all constants using a .env variable** \- [PR](https://github.com/BerriAI/litellm/pull/10803)
+- **[Maximum retention period for spend logs](https://docs.litellm.ai/docs/proxy/spend_logs_deletion)**
+ - Add retention flag to config - [PR](https://github.com/BerriAI/litellm/pull/10815)
+ - Support for cleaning up logs based on configured time period - [PR](https://github.com/BerriAI/litellm/pull/10872)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Authentication**
+ - Handle Bearer $LITELLM\_API\_KEY in x-litellm-api-key custom header [PR](https://github.com/BerriAI/litellm/pull/10776)
+- **New Enterprise pip package** \- `litellm-enterprise` \- fixes issue where `enterprise` folder was not found when using pip package
+- **[Proxy CLI](https://docs.litellm.ai/docs/proxy/management_cli)**
+ - Add `models import` command - [PR](https://github.com/BerriAI/litellm/pull/10581)
+- **[OpenWebUI](https://docs.litellm.ai/docs/tutorials/openweb_ui#per-user-tracking)**
+ - Configure LiteLLM to Parse User Headers from Open Web UI
+- **[LiteLLM Proxy w/ LiteLLM SDK](https://docs.litellm.ai/docs/providers/litellm_proxy#send-all-sdk-requests-to-litellm-proxy)**
+ - Option to force/always use the litellm proxy when calling via LiteLLM SDK
+
+## New Contributors [](https://docs.litellm.ai/release_notes\#new-contributors "Direct link to New Contributors")
+
+- [@imdigitalashish](https://github.com/imdigitalashish) made their first contribution in PR [#10617](https://github.com/BerriAI/litellm/pull/10617)
+- [@LouisShark](https://github.com/LouisShark) made their first contribution in PR [#10688](https://github.com/BerriAI/litellm/pull/10688)
+- [@OscarSavNS](https://github.com/OscarSavNS) made their first contribution in PR [#10764](https://github.com/BerriAI/litellm/pull/10764)
+- [@arizedatngo](https://github.com/arizedatngo) made their first contribution in PR [#10654](https://github.com/BerriAI/litellm/pull/10654)
+- [@jugaldb](https://github.com/jugaldb) made their first contribution in PR [#10805](https://github.com/BerriAI/litellm/pull/10805)
+- [@daikeren](https://github.com/daikeren) made their first contribution in PR [#10781](https://github.com/BerriAI/litellm/pull/10781)
+- [@naliotopier](https://github.com/naliotopier) made their first contribution in PR [#10077](https://github.com/BerriAI/litellm/pull/10077)
+- [@damienpontifex](https://github.com/damienpontifex) made their first contribution in PR [#10813](https://github.com/BerriAI/litellm/pull/10813)
+- [@Dima-Mediator](https://github.com/Dima-Mediator) made their first contribution in PR [#10789](https://github.com/BerriAI/litellm/pull/10789)
+- [@igtm](https://github.com/igtm) made their first contribution in PR [#10814](https://github.com/BerriAI/litellm/pull/10814)
+- [@shibaboy](https://github.com/shibaboy) made their first contribution in PR [#10752](https://github.com/BerriAI/litellm/pull/10752)
+- [@camfarineau](https://github.com/camfarineau) made their first contribution in PR [#10629](https://github.com/BerriAI/litellm/pull/10629)
+- [@ajac-zero](https://github.com/ajac-zero) made their first contribution in PR [#10439](https://github.com/BerriAI/litellm/pull/10439)
+- [@damgem](https://github.com/damgem) made their first contribution in PR [#9802](https://github.com/BerriAI/litellm/pull/9802)
+- [@hxdror](https://github.com/hxdror) made their first contribution in PR [#10757](https://github.com/BerriAI/litellm/pull/10757)
+- [@wwwillchen](https://github.com/wwwillchen) made their first contribution in PR [#10894](https://github.com/BerriAI/litellm/pull/10894)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## [Git Diff](https://github.com/BerriAI/litellm/releases) [](https://docs.litellm.ai/release_notes\#git-diff "Direct link to git-diff")
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.69.0-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.69.0.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+LiteLLM v1.69.0-stable brings the following key improvements:
+
+- **Loadbalance Batch API Models**: Easily loadbalance across multiple azure batch deployments using LiteLLM Managed Files
+- **Email Invites 2.0**: Send new users onboarded to LiteLLM an email invite.
+- **Nscale**: LLM API for compliance with European regulations.
+- **Bedrock /v1/messages**: Use Bedrock Anthropic models with Anthropic's /v1/messages.
+
+## Batch API Load Balancing [](https://docs.litellm.ai/release_notes\#batch-api-load-balancing "Direct link to Batch API Load Balancing")
+
+
+
+This release brings LiteLLM Managed File support to Batches. This is great for:
+
+- Proxy Admins: You can now control which Batch models users can call.
+- Developers: You no longer need to know the Azure deployment name when creating your batch .jsonl files - just specify the model your LiteLLM key has access to.
+
+Over time, we expect LiteLLM Managed Files to be the way most teams use Files across `/chat/completions`, `/batch`, `/fine_tuning` endpoints.
+
+[Read more here](https://docs.litellm.ai/docs/proxy/managed_batches)
+
+## Email Invites [](https://docs.litellm.ai/release_notes\#email-invites "Direct link to Email Invites")
+
+
+
+This release brings the following improvements to our email invite integration:
+
+- New templates for user invited and key created events.
+- Fixes for using SMTP email providers.
+- Native support for Resend API.
+- Ability for Proxy Admins to control email events.
+
+For LiteLLM Cloud Users, please reach out to us if you want this enabled for your instance.
+
+[Read more here](https://docs.litellm.ai/docs/proxy/email)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **Gemini ( [VertexAI](https://docs.litellm.ai/docs/providers/vertex#usage-with-litellm-proxy-server) \+ [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini))**
+ - Added `gemini-2.5-pro-preview-05-06` models with pricing and context window info - [PR](https://github.com/BerriAI/litellm/pull/10597)
+ - Set correct context window length for all Gemini 2.5 variants - [PR](https://github.com/BerriAI/litellm/pull/10690)
+- **[Perplexity](https://docs.litellm.ai/docs/providers/perplexity)**:
+ - Added new Perplexity models - [PR](https://github.com/BerriAI/litellm/pull/10652)
+ - Added sonar-deep-research model pricing - [PR](https://github.com/BerriAI/litellm/pull/10537)
+- **[Azure OpenAI](https://docs.litellm.ai/docs/providers/azure)**:
+ - Fixed passing through of azure\_ad\_token\_provider parameter - [PR](https://github.com/BerriAI/litellm/pull/10694)
+- **[OpenAI](https://docs.litellm.ai/docs/providers/openai)**:
+ - Added support for pdf url's in 'file' parameter - [PR](https://github.com/BerriAI/litellm/pull/10640)
+- **[Sagemaker](https://docs.litellm.ai/docs/providers/aws_sagemaker)**:
+ - Fix content length for `sagemaker_chat` provider - [PR](https://github.com/BerriAI/litellm/pull/10607)
+- **[Azure AI Foundry](https://docs.litellm.ai/docs/providers/azure_ai)**:
+ - Added cost tracking for the following models [PR](https://github.com/BerriAI/litellm/pull/9956)
+ - DeepSeek V3 0324
+ - Llama 4 Scout
+ - Llama 4 Maverick
+- **[Bedrock](https://docs.litellm.ai/docs/providers/bedrock)**:
+ - Added cost tracking for Bedrock Llama 4 models - [PR](https://github.com/BerriAI/litellm/pull/10582)
+ - Fixed template conversion for Llama 4 models in Bedrock - [PR](https://github.com/BerriAI/litellm/pull/10582)
+ - Added support for using Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10681)
+ - Added streaming support for Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10710)
+- **[OpenAI](https://docs.litellm.ai/docs/providers/openai)**: Added `reasoning_effort` support for `o3` models - [PR](https://github.com/BerriAI/litellm/pull/10591)
+- **[Databricks](https://docs.litellm.ai/docs/providers/databricks)**:
+ - Fixed issue when Databricks uses external model and delta could be empty - [PR](https://github.com/BerriAI/litellm/pull/10540)
+- **[Cerebras](https://docs.litellm.ai/docs/providers/cerebras)**: Fixed Llama-3.1-70b model pricing and context window - [PR](https://github.com/BerriAI/litellm/pull/10648)
+- **[Ollama](https://docs.litellm.ai/docs/providers/ollama)**:
+ - Fixed custom price cost tracking and added 'max\_completion\_token' support - [PR](https://github.com/BerriAI/litellm/pull/10636)
+ - Fixed KeyError when using JSON response format - [PR](https://github.com/BerriAI/litellm/pull/10611)
+- 🆕 **[Nscale](https://docs.litellm.ai/docs/providers/nscale)**:
+ - Added support for chat, image generation endpoints - [PR](https://github.com/BerriAI/litellm/pull/10638)
+
+## LLM API Endpoints [](https://docs.litellm.ai/release_notes\#llm-api-endpoints "Direct link to LLM API Endpoints")
+
+- **[Messages API](https://docs.litellm.ai/docs/anthropic_unified)**:
+ - 🆕 Added support for using Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10681) and streaming support - [PR](https://github.com/BerriAI/litellm/pull/10710)
+- **[Moderations API](https://docs.litellm.ai/docs/moderations)**:
+ - Fixed bug to allow using LiteLLM UI credentials for /moderations API - [PR](https://github.com/BerriAI/litellm/pull/10723)
+- **[Realtime API](https://docs.litellm.ai/docs/realtime)**:
+ - Fixed setting 'headers' in scope for websocket auth requests and infinite loop issues - [PR](https://github.com/BerriAI/litellm/pull/10679)
+- **[Files API](https://docs.litellm.ai/docs/proxy/litellm_managed_files)**:
+ - Unified File ID output support - [PR](https://github.com/BerriAI/litellm/pull/10713)
+ - Support for writing files to all deployments - [PR](https://github.com/BerriAI/litellm/pull/10708)
+ - Added target model name validation - [PR](https://github.com/BerriAI/litellm/pull/10722)
+- **[Batches API](https://docs.litellm.ai/docs/batches)**:
+ - Complete unified batch ID support - replacing model in jsonl to be deployment model name - [PR](https://github.com/BerriAI/litellm/pull/10719)
+ - Beta support for unified file ID (managed files) for batches - [PR](https://github.com/BerriAI/litellm/pull/10650)
+
+## Spend Tracking / Budget Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking--budget-improvements "Direct link to Spend Tracking / Budget Improvements")
+
+- Bug Fix - PostgreSQL Integer Overflow Error in DB Spend Tracking - [PR](https://github.com/BerriAI/litellm/pull/10697)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Models**
+ - Fixed model info overwriting when editing a model on UI - [PR](https://github.com/BerriAI/litellm/pull/10726)
+ - Fixed team admin model updates and organization creation with specific models - [PR](https://github.com/BerriAI/litellm/pull/10539)
+- **Logs**:
+ - Bug Fix - copying Request/Response on Logs Page - [PR](https://github.com/BerriAI/litellm/pull/10720)
+ - Bug Fix - log did not remain in focus on QA Logs page + text overflow on error logs - [PR](https://github.com/BerriAI/litellm/pull/10725)
+ - Added index for session\_id on LiteLLM\_SpendLogs for better query performance - [PR](https://github.com/BerriAI/litellm/pull/10727)
+- **User Management**:
+ - Added user management functionality to Python client library & CLI - [PR](https://github.com/BerriAI/litellm/pull/10627)
+ - Bug Fix - Fixed SCIM token creation on Admin UI - [PR](https://github.com/BerriAI/litellm/pull/10628)
+ - Bug Fix - Added 404 response when trying to delete verification tokens that don't exist - [PR](https://github.com/BerriAI/litellm/pull/10605)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **Custom Logger API**: v2 Custom Callback API (send llm logs to custom api) - [PR](https://github.com/BerriAI/litellm/pull/10575), [Get Started](https://docs.litellm.ai/docs/proxy/logging#custom-callback-apis-async)
+- **OpenTelemetry**:
+ - Fixed OpenTelemetry to follow genai semantic conventions + support for 'instructions' param for TTS - [PR](https://github.com/BerriAI/litellm/pull/10608)
+- **Bedrock PII**:
+ - Add support for PII Masking with bedrock guardrails - [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/bedrock#pii-masking-with-bedrock-guardrails), [PR](https://github.com/BerriAI/litellm/pull/10608)
+- **Documentation**:
+ - Added documentation for StandardLoggingVectorStoreRequest - [PR](https://github.com/BerriAI/litellm/pull/10535)
+
+## Performance / Reliability Improvements [](https://docs.litellm.ai/release_notes\#performance--reliability-improvements "Direct link to Performance / Reliability Improvements")
+
+- **Python Compatibility**:
+ - Added support for Python 3.11- (fixed datetime UTC handling) - [PR](https://github.com/BerriAI/litellm/pull/10701)
+ - Fixed UnicodeDecodeError: 'charmap' on Windows during litellm import - [PR](https://github.com/BerriAI/litellm/pull/10542)
+- **Caching**:
+ - Fixed embedding string caching result - [PR](https://github.com/BerriAI/litellm/pull/10700)
+ - Fixed cache miss for Gemini models with response\_format - [PR](https://github.com/BerriAI/litellm/pull/10635)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Proxy CLI**:
+ - Added `--version` flag to `litellm-proxy` CLI - [PR](https://github.com/BerriAI/litellm/pull/10704)
+ - Added dedicated `litellm-proxy` CLI - [PR](https://github.com/BerriAI/litellm/pull/10578)
+- **Alerting**:
+ - Fixed Slack alerting not working when using a DB - [PR](https://github.com/BerriAI/litellm/pull/10370)
+- **Email Invites**:
+ - Added V2 Emails with fixes for sending emails when creating keys + Resend API support - [PR](https://github.com/BerriAI/litellm/pull/10602)
+ - Added user invitation emails - [PR](https://github.com/BerriAI/litellm/pull/10615)
+ - Added endpoints to manage email settings - [PR](https://github.com/BerriAI/litellm/pull/10646)
+- **General**:
+ - Fixed bug where duplicate JSON logs were getting emitted - [PR](https://github.com/BerriAI/litellm/pull/10580)
+
+## New Contributors [](https://docs.litellm.ai/release_notes\#new-contributors "Direct link to New Contributors")
+
+- [@zoltan-ongithub](https://github.com/zoltan-ongithub) made their first contribution in [PR #10568](https://github.com/BerriAI/litellm/pull/10568)
+- [@mkavinkumar1](https://github.com/mkavinkumar1) made their first contribution in [PR #10548](https://github.com/BerriAI/litellm/pull/10548)
+- [@thomelane](https://github.com/thomelane) made their first contribution in [PR #10549](https://github.com/BerriAI/litellm/pull/10549)
+- [@frankzye](https://github.com/frankzye) made their first contribution in [PR #10540](https://github.com/BerriAI/litellm/pull/10540)
+- [@aholmberg](https://github.com/aholmberg) made their first contribution in [PR #10591](https://github.com/BerriAI/litellm/pull/10591)
+- [@aravindkarnam](https://github.com/aravindkarnam) made their first contribution in [PR #10611](https://github.com/BerriAI/litellm/pull/10611)
+- [@xsg22](https://github.com/xsg22) made their first contribution in [PR #10648](https://github.com/BerriAI/litellm/pull/10648)
+- [@casparhsws](https://github.com/casparhsws) made their first contribution in [PR #10635](https://github.com/BerriAI/litellm/pull/10635)
+- [@hypermoose](https://github.com/hypermoose) made their first contribution in [PR #10370](https://github.com/BerriAI/litellm/pull/10370)
+- [@tomukmatthews](https://github.com/tomukmatthews) made their first contribution in [PR #10638](https://github.com/BerriAI/litellm/pull/10638)
+- [@keyute](https://github.com/keyute) made their first contribution in [PR #10652](https://github.com/BerriAI/litellm/pull/10652)
+- [@GPTLocalhost](https://github.com/GPTLocalhost) made their first contribution in [PR #10687](https://github.com/BerriAI/litellm/pull/10687)
+- [@husnain7766](https://github.com/husnain7766) made their first contribution in [PR #10697](https://github.com/BerriAI/litellm/pull/10697)
+- [@claralp](https://github.com/claralp) made their first contribution in [PR #10694](https://github.com/BerriAI/litellm/pull/10694)
+- [@mollux](https://github.com/mollux) made their first contribution in [PR #10690](https://github.com/BerriAI/litellm/pull/10690)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.68.0-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.68.0.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+LiteLLM v1.68.0-stable will be live soon. Here are the key highlights of this release:
+
+- **Bedrock Knowledge Base**: You can now call query your Bedrock Knowledge Base with all LiteLLM models via `/chat/completion` or `/responses` API.
+- **Rate Limits**: This release brings accurate rate limiting across multiple instances, reducing spillover to at most 10 additional requests in high traffic.
+- **Meta Llama API**: Added support for Meta Llama API [Get Started](https://docs.litellm.ai/docs/providers/meta_llama)
+- **LlamaFile**: Added support for LlamaFile [Get Started](https://docs.litellm.ai/docs/providers/llamafile)
+
+## Bedrock Knowledge Base (Vector Store) [](https://docs.litellm.ai/release_notes\#bedrock-knowledge-base-vector-store "Direct link to Bedrock Knowledge Base (Vector Store)")
+
+
+
+This release adds support for Bedrock vector stores (knowledge bases) in LiteLLM. With this update, you can:
+
+- Use Bedrock vector stores in the OpenAI /chat/completions spec with all LiteLLM supported models.
+- View all available vector stores through the LiteLLM UI or API.
+- Configure vector stores to be always active for specific models.
+- Track vector store usage in LiteLLM Logs.
+
+For the next release we plan on allowing you to set key, user, team, org permissions for vector stores.
+
+[Read more here](https://docs.litellm.ai/docs/completion/knowledgebase)
+
+## Rate Limiting [](https://docs.litellm.ai/release_notes\#rate-limiting "Direct link to Rate Limiting")
+
+
+
+This release brings accurate multi-instance rate limiting across keys/users/teams. Outlining key engineering changes below:
+
+- **Change**: Instances now increment cache value instead of setting it. To avoid calling Redis on each request, this is synced every 0.01s.
+- **Accuracy**: In testing, we saw a maximum spill over from expected of 10 requests, in high traffic (100 RPS, 3 instances), vs. current 189 request spillover
+- **Performance**: Our load tests show this to reduce median response time by 100ms in high traffic
+
+This is currently behind a feature flag, and we plan to have this be the default by next week. To enable this today, just add this environment variable:
+
+```codeBlockLines_e6Vv
+export LITELLM_RATE_LIMIT_ACCURACY=true
+
+```
+
+[Read more here](https://docs.litellm.ai/docs/proxy/users#beta-multi-instance-rate-limiting)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **Gemini ( [VertexAI](https://docs.litellm.ai/docs/providers/vertex#usage-with-litellm-proxy-server) \+ [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini))**
+ - Handle more json schema - openapi schema conversion edge cases [PR](https://github.com/BerriAI/litellm/pull/10351)
+ - Tool calls - return ‘finish\_reason=“tool\_calls”’ on gemini tool calling response [PR](https://github.com/BerriAI/litellm/pull/10485)
+- **[VertexAI](https://docs.litellm.ai/docs/providers/vertex#metallama-api)**
+ - Meta/llama-4 model support [PR](https://github.com/BerriAI/litellm/pull/10492)
+ - Meta/llama3 - handle tool call result in content [PR](https://github.com/BerriAI/litellm/pull/10492)
+ - Meta/\* - return ‘finish\_reason=“tool\_calls”’ on tool calling response [PR](https://github.com/BerriAI/litellm/pull/10492)
+- **[Bedrock](https://docs.litellm.ai/docs/providers/bedrock#litellm-proxy-usage)**
+ - [Image Generation](https://docs.litellm.ai/docs/providers/bedrock#image-generation) \- Support new ‘stable-image-core’ models - [PR](https://github.com/BerriAI/litellm/pull/10351)
+ - [Knowledge Bases](https://docs.litellm.ai/docs/completion/knowledgebase) \- support using Bedrock knowledge bases with `/chat/completions` [PR](https://github.com/BerriAI/litellm/pull/10413)
+ - [Anthropic](https://docs.litellm.ai/docs/providers/bedrock#litellm-proxy-usage) \- add ‘supports\_pdf\_input’ for claude-3.7-bedrock models [PR](https://github.com/BerriAI/litellm/pull/9917), [Get Started](https://docs.litellm.ai/docs/completion/document_understanding#checking-if-a-model-supports-pdf-input)
+- **[OpenAI](https://docs.litellm.ai/docs/providers/openai)**
+ - Support OPENAI\_BASE\_URL in addition to OPENAI\_API\_BASE [PR](https://github.com/BerriAI/litellm/pull/10423)
+ - Correctly re-raise 504 timeout errors [PR](https://github.com/BerriAI/litellm/pull/10462)
+ - Native Gpt-4o-mini-tts support [PR](https://github.com/BerriAI/litellm/pull/10462)
+- 🆕 **[Meta Llama API](https://docs.litellm.ai/docs/providers/meta_llama)** provider [PR](https://github.com/BerriAI/litellm/pull/10451)
+- 🆕 **[LlamaFile](https://docs.litellm.ai/docs/providers/llamafile)** provider [PR](https://github.com/BerriAI/litellm/pull/10482)
+
+## LLM API Endpoints [](https://docs.litellm.ai/release_notes\#llm-api-endpoints "Direct link to LLM API Endpoints")
+
+- **[Response API](https://docs.litellm.ai/docs/response_api)**
+ - Fix for handling multi turn sessions [PR](https://github.com/BerriAI/litellm/pull/10415)
+- **[Embeddings](https://docs.litellm.ai/docs/embedding/supported_embedding)**
+ - Caching fixes - [PR](https://github.com/BerriAI/litellm/pull/10424)
+ - handle str -> list cache
+ - Return usage tokens for cache hit
+ - Combine usage tokens on partial cache hits
+- 🆕 **[Vector Stores](https://docs.litellm.ai/docs/completion/knowledgebase)**
+ - Allow defining Vector Store Configs - [PR](https://github.com/BerriAI/litellm/pull/10448)
+ - New StandardLoggingPayload field for requests made when a vector store is used - [PR](https://github.com/BerriAI/litellm/pull/10509)
+ - Show Vector Store / KB Request on LiteLLM Logs Page - [PR](https://github.com/BerriAI/litellm/pull/10514)
+ - Allow using vector store in OpenAI API spec with tools - [PR](https://github.com/BerriAI/litellm/pull/10516)
+- **[MCP](https://docs.litellm.ai/docs/mcp)**
+ - Ensure Non-Admin virtual keys can access /mcp routes - [PR](https://github.com/BerriAI/litellm/pull/10473)
+
+ **Note:** Currently, all Virtual Keys are able to access the MCP endpoints. We are working on a feature to allow restricting MCP access by keys/teams/users/orgs. Follow [here](https://github.com/BerriAI/litellm/discussions/9891) for updates.
+- **Moderations**
+ - Add logging callback support for `/moderations` API - [PR](https://github.com/BerriAI/litellm/pull/10390)
+
+## Spend Tracking / Budget Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking--budget-improvements "Direct link to Spend Tracking / Budget Improvements")
+
+- **[OpenAI](https://docs.litellm.ai/docs/providers/openai)**
+ - [computer-use-preview](https://docs.litellm.ai/docs/providers/openai/responses_api#computer-use) cost tracking / pricing [PR](https://github.com/BerriAI/litellm/pull/10422)
+ - [gpt-4o-mini-tts](https://docs.litellm.ai/docs/providers/openai/text_to_speech) input cost tracking - [PR](https://github.com/BerriAI/litellm/pull/10462)
+- **[Fireworks AI](https://docs.litellm.ai/docs/providers/fireworks_ai)** \- pricing updates - new `0-4b` model pricing tier + llama4 model pricing
+- **[Budgets](https://docs.litellm.ai/docs/proxy/users#set-budgets)**
+ - [Budget resets](https://docs.litellm.ai/docs/proxy/users#reset-budgets) now happen as start of day/week/month - [PR](https://github.com/BerriAI/litellm/pull/10333)
+ - Trigger [Soft Budget Alerts](https://docs.litellm.ai/docs/proxy/alerting#soft-budget-alerts-for-virtual-keys) When Key Crosses Threshold - [PR](https://github.com/BerriAI/litellm/pull/10491)
+- **[Token Counting](https://docs.litellm.ai/docs/completion/token_usage#3-token_counter)**
+ - Rewrite of token\_counter() function to handle to prevent undercounting tokens - [PR](https://github.com/BerriAI/litellm/pull/10409)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Virtual Keys**
+ - Fix filtering on key alias - [PR](https://github.com/BerriAI/litellm/pull/10455)
+ - Support global filtering on keys - [PR](https://github.com/BerriAI/litellm/pull/10455)
+ - Pagination - fix clicking on next/back buttons on table - [PR](https://github.com/BerriAI/litellm/pull/10528)
+- **Models**
+ - Triton - Support adding model/provider on UI - [PR](https://github.com/BerriAI/litellm/pull/10456)
+ - VertexAI - Fix adding vertex models with reusable credentials - [PR](https://github.com/BerriAI/litellm/pull/10528)
+ - LLM Credentials - show existing credentials for easy editing - [PR](https://github.com/BerriAI/litellm/pull/10519)
+- **Teams**
+ - Allow reassigning team to other org - [PR](https://github.com/BerriAI/litellm/pull/10527)
+- **Organizations**
+ - Fix showing org budget on table - [PR](https://github.com/BerriAI/litellm/pull/10528)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **[Langsmith](https://docs.litellm.ai/docs/observability/langsmith_integration)**
+ - Respect [langsmith\_batch\_size](https://docs.litellm.ai/docs/observability/langsmith_integration#local-testing---control-batch-size) param - [PR](https://github.com/BerriAI/litellm/pull/10411)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+- **[Redis](https://docs.litellm.ai/docs/proxy/caching)**
+ - Ensure all redis queues are periodically flushed, this fixes an issue where redis queue size was growing indefinitely when request tags were used - [PR](https://github.com/BerriAI/litellm/pull/10393)
+- **[Rate Limits](https://docs.litellm.ai/docs/proxy/users#set-rate-limit)**
+ - [Multi-instance rate limiting](https://docs.litellm.ai/docs/proxy/users#beta-multi-instance-rate-limiting) support across keys/teams/users/customers - [PR](https://github.com/BerriAI/litellm/pull/10458), [PR](https://github.com/BerriAI/litellm/pull/10497), [PR](https://github.com/BerriAI/litellm/pull/10500)
+- **[Azure OpenAI OIDC](https://docs.litellm.ai/docs/providers/azure#entra-id---use-azure_ad_token)**
+ - allow using litellm defined params for [OIDC Auth](https://docs.litellm.ai/docs/providers/azure#entra-id---use-azure_ad_token) \- [PR](https://github.com/BerriAI/litellm/pull/10394)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Security**
+ - Allow [blocking web crawlers](https://docs.litellm.ai/docs/proxy/enterprise#blocking-web-crawlers) \- [PR](https://github.com/BerriAI/litellm/pull/10420)
+- **Auth**
+ - Support [`x-litellm-api-key` header param by default](https://docs.litellm.ai/docs/pass_through/vertex_ai#use-with-virtual-keys), this fixes an issue from the prior release where `x-litellm-api-key` was not being used on vertex ai passthrough requests - [PR](https://github.com/BerriAI/litellm/pull/10392)
+ - Allow key at max budget to call non-llm api endpoints - [PR](https://github.com/BerriAI/litellm/pull/10392)
+- 🆕 **[Python Client Library](https://docs.litellm.ai/docs/proxy/management_cli) for LiteLLM Proxy management endpoints**
+ - Initial PR - [PR](https://github.com/BerriAI/litellm/pull/10445)
+ - Support for doing HTTP requests - [PR](https://github.com/BerriAI/litellm/pull/10452)
+- **Dependencies**
+ - Don’t require uvloop for windows - [PR](https://github.com/BerriAI/litellm/pull/10483)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.67.4-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.67.4.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+- **Improved User Management**: This release enables search and filtering across users, keys, teams, and models.
+- **Responses API Load Balancing**: Route requests across provider regions and ensure session continuity.
+- **UI Session Logs**: Group several requests to LiteLLM into a session.
+
+## Improved User Management [](https://docs.litellm.ai/release_notes\#improved-user-management "Direct link to Improved User Management")
+
+
+
+This release makes it easier to manage users and keys on LiteLLM. You can now search and filter across users, keys, teams, and models, and control user settings more easily.
+
+New features include:
+
+- Search for users by email, ID, role, or team.
+- See all of a user's models, teams, and keys in one place.
+- Change user roles and model access right from the Users Tab.
+
+These changes help you spend less time on user setup and management on LiteLLM.
+
+## Responses API Load Balancing [](https://docs.litellm.ai/release_notes\#responses-api-load-balancing "Direct link to Responses API Load Balancing")
+
+
+
+This release introduces load balancing for the Responses API, allowing you to route requests across provider regions and ensure session continuity. It works as follows:
+
+- If a `previous_response_id` is provided, LiteLLM will route the request to the original deployment that generated the prior response — ensuring session continuity.
+- If no `previous_response_id` is provided, LiteLLM will load-balance requests across your available deployments.
+
+[Read more](https://docs.litellm.ai/docs/response_api#load-balancing-with-session-continuity)
+
+## UI Session Logs [](https://docs.litellm.ai/release_notes\#ui-session-logs "Direct link to UI Session Logs")
+
+
+
+This release allow you to group requests to LiteLLM proxy into a session. If you specify a litellm\_session\_id in your request LiteLLM will automatically group all logs in the same session. This allows you to easily track usage and request content per session.
+
+[Read more](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. Added `gpt-image-1` cost tracking [Get Started](https://docs.litellm.ai/docs/image_generation)
+2. Bug fix: added cost tracking for gpt-image-1 when quality is unspecified [PR](https://github.com/BerriAI/litellm/pull/10247)
+- **Azure**
+1. Fixed timestamp granularities passing to whisper in Azure [Get Started](https://docs.litellm.ai/docs/audio_transcription)
+2. Added azure/gpt-image-1 pricing [Get Started](https://docs.litellm.ai/docs/image_generation), [PR](https://github.com/BerriAI/litellm/pull/10327)
+3. Added cost tracking for `azure/computer-use-preview`, `azure/gpt-4o-audio-preview-2024-12-17`, `azure/gpt-4o-mini-audio-preview-2024-12-17` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Bedrock**
+1. Added support for all compatible Bedrock parameters when model="arn:.." (Bedrock application inference profile models) [Get started](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile), [PR](https://github.com/BerriAI/litellm/pull/10256)
+2. Fixed wrong system prompt transformation [PR](https://github.com/BerriAI/litellm/pull/10120)
+- **VertexAI / Google AI Studio**
+1. Allow setting `budget_tokens=0` for `gemini-2.5-flash` [Get Started](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10198)
+2. Ensure returned `usage` includes thinking token usage [PR](https://github.com/BerriAI/litellm/pull/10198)
+3. Added cost tracking for `gemini-2.5-pro-preview-03-25` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Cohere**
+1. Added support for cohere command-a-03-2025 [Get Started](https://docs.litellm.ai/docs/providers/cohere), [PR](https://github.com/BerriAI/litellm/pull/10295)
+- **SageMaker**
+1. Added support for max\_completion\_tokens parameter [Get Started](https://docs.litellm.ai/docs/providers/sagemaker), [PR](https://github.com/BerriAI/litellm/pull/10300)
+- **Responses API**
+1. Added support for GET and DELETE operations - `/v1/responses/{response_id}` [Get Started](https://docs.litellm.ai/docs/response_api)
+2. Added session management support for non-OpenAI models [PR](https://github.com/BerriAI/litellm/pull/10321)
+3. Added routing affinity to maintain model consistency within sessions [Get Started](https://docs.litellm.ai/docs/response_api#load-balancing-with-routing-affinity), [PR](https://github.com/BerriAI/litellm/pull/10193)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Bug Fix**: Fixed spend tracking bug, ensuring default litellm params aren't modified in memory [PR](https://github.com/BerriAI/litellm/pull/10167)
+- **Deprecation Dates**: Added deprecation dates for Azure, VertexAI models [PR](https://github.com/BerriAI/litellm/pull/10308)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+#### Users [](https://docs.litellm.ai/release_notes\#users "Direct link to Users")
+
+- **Filtering and Searching**:
+
+
+ - Filter users by user\_id, role, team, sso\_id
+ - Search users by email
+
+
+
+- **User Info Panel**: Added a new user information pane [PR](https://github.com/BerriAI/litellm/pull/10213)
+
+ - View teams, keys, models associated with User
+ - Edit user role, model permissions
+
+#### Teams [](https://docs.litellm.ai/release_notes\#teams "Direct link to Teams")
+
+- **Filtering and Searching**:
+
+
+ - Filter teams by Organization, Team ID [PR](https://github.com/BerriAI/litellm/pull/10324)
+ - Search teams by Team Name [PR](https://github.com/BerriAI/litellm/pull/10324)
+
+
+
+#### Keys [](https://docs.litellm.ai/release_notes\#keys "Direct link to Keys")
+
+- **Key Management**:
+ - Support for cross-filtering and filtering by key hash [PR](https://github.com/BerriAI/litellm/pull/10322)
+ - Fixed key alias reset when resetting filters [PR](https://github.com/BerriAI/litellm/pull/10099)
+ - Fixed table rendering on key creation [PR](https://github.com/BerriAI/litellm/pull/10224)
+
+#### UI Logs Page [](https://docs.litellm.ai/release_notes\#ui-logs-page "Direct link to UI Logs Page")
+
+- **Session Logs**: Added UI Session Logs [Get Started](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+#### UI Authentication & Security [](https://docs.litellm.ai/release_notes\#ui-authentication--security "Direct link to UI Authentication & Security")
+
+- **Required Authentication**: Authentication now required for all dashboard pages [PR](https://github.com/BerriAI/litellm/pull/10229)
+- **SSO Fixes**: Fixed SSO user login invalid token error [PR](https://github.com/BerriAI/litellm/pull/10298)
+- \[BETA\] **Encrypted Tokens**: Moved UI to encrypted token usage [PR](https://github.com/BerriAI/litellm/pull/10302)
+- **Token Expiry**: Support token refresh by re-routing to login page (fixes issue where expired token would show a blank page) [PR](https://github.com/BerriAI/litellm/pull/10250)
+
+#### UI General fixes [](https://docs.litellm.ai/release_notes\#ui-general-fixes "Direct link to UI General fixes")
+
+- **Fixed UI Flicker**: Addressed UI flickering issues in Dashboard [PR](https://github.com/BerriAI/litellm/pull/10261)
+- **Improved Terminology**: Better loading and no-data states on Keys and Tools pages [PR](https://github.com/BerriAI/litellm/pull/10253)
+- **Azure Model Support**: Fixed editing Azure public model names and changing model names after creation [PR](https://github.com/BerriAI/litellm/pull/10249)
+- **Team Model Selector**: Bug fix for team model selection [PR](https://github.com/BerriAI/litellm/pull/10171)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **Datadog**:
+1. Fixed Datadog LLM observability logging [Get Started](https://docs.litellm.ai/docs/proxy/logging#datadog), [PR](https://github.com/BerriAI/litellm/pull/10206)
+- **Prometheus / Grafana**:
+1. Enable datasource selection on LiteLLM Grafana Template [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#-litellm-maintained-grafana-dashboards-), [PR](https://github.com/BerriAI/litellm/pull/10257)
+- **AgentOps**:
+1. Added AgentOps Integration [Get Started](https://docs.litellm.ai/docs/observability/agentops_integration), [PR](https://github.com/BerriAI/litellm/pull/9685)
+- **Arize**:
+1. Added missing attributes for Arize & Phoenix Integration [Get Started](https://docs.litellm.ai/docs/observability/arize_integration), [PR](https://github.com/BerriAI/litellm/pull/10215)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Caching**: Fixed caching to account for `thinking` or `reasoning_effort` when calculating cache key [PR](https://github.com/BerriAI/litellm/pull/10140)
+- **Model Groups**: Fixed handling for cases where user sets model\_group inside model\_info [PR](https://github.com/BerriAI/litellm/pull/10191)
+- **Passthrough Endpoints**: Ensured `PassthroughStandardLoggingPayload` is logged with method, URL, request/response body [PR](https://github.com/BerriAI/litellm/pull/10194)
+- **Fix SQL Injection**: Fixed potential SQL injection vulnerability in spend\_management\_endpoints.py [PR](https://github.com/BerriAI/litellm/pull/9878)
+
+## Helm [](https://docs.litellm.ai/release_notes\#helm "Direct link to Helm")
+
+- Fixed serviceAccountName on migration job [PR](https://github.com/BerriAI/litellm/pull/10258)
+
+## Full Changelog [](https://docs.litellm.ai/release_notes\#full-changelog "Direct link to Full Changelog")
+
+The complete list of changes can be found in the [GitHub release notes](https://github.com/BerriAI/litellm/compare/v1.67.0-stable...v1.67.4-stable).
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+- **SCIM Integration**: Enables identity providers (Okta, Azure AD, OneLogin, etc.) to automate user and team (group) provisioning, updates, and deprovisioning
+- **Team and Tag based usage tracking**: You can now see usage and spend by team and tag at 1M+ spend logs.
+- **Unified Responses API**: Support for calling Anthropic, Gemini, Groq, etc. via OpenAI's new Responses API.
+
+Let's dive in.
+
+## SCIM Integration [](https://docs.litellm.ai/release_notes\#scim-integration "Direct link to SCIM Integration")
+
+
+
+This release adds SCIM support to LiteLLM. This allows your SSO provider (Okta, Azure AD, etc) to automatically create/delete users, teams, and memberships on LiteLLM. This means that when you remove a team on your SSO provider, your SSO provider will automatically delete the corresponding team on LiteLLM.
+
+[Read more](https://docs.litellm.ai/docs/tutorials/scim_litellm)
+
+## Team and Tag based usage tracking [](https://docs.litellm.ai/release_notes\#team-and-tag-based-usage-tracking "Direct link to Team and Tag based usage tracking")
+
+
+
+This release improves team and tag based usage tracking at 1m+ spend logs, making it easy to monitor your LLM API Spend in production. This covers:
+
+- View **daily spend** by teams + tags
+- View **usage / spend by key**, within teams
+- View **spend by multiple tags**
+- Allow **internal users** to view spend of teams they're a member of
+
+[Read more](https://docs.litellm.ai/release_notes#management-endpoints--ui)
+
+## Unified Responses API [](https://docs.litellm.ai/release_notes\#unified-responses-api "Direct link to Unified Responses API")
+
+This release allows you to call Azure OpenAI, Anthropic, AWS Bedrock, and Google Vertex AI models via the POST /v1/responses endpoint on LiteLLM. This means you can now use popular tools like [OpenAI Codex](https://docs.litellm.ai/docs/tutorials/openai_codex) with your own models.
+
+
+
+[Read more](https://docs.litellm.ai/docs/response_api)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing - [Get Started](https://docs.litellm.ai/docs/providers/openai#usage), [PR](https://github.com/BerriAI/litellm/pull/9990)
+2. o4 - correctly map o4 to openai o\_series model
+- **Azure AI**
+1. Phi-4 output cost per token fix - [PR](https://github.com/BerriAI/litellm/pull/9880)
+2. Responses API support [Get Started](https://docs.litellm.ai/docs/providers/azure#azure-responses-api), [PR](https://github.com/BerriAI/litellm/pull/10116)
+- **Anthropic**
+1. redacted message thinking support - [Get Started](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10129)
+- **Cohere**
+1. `/v2/chat` Passthrough endpoint support w/ cost tracking - [Get Started](https://docs.litellm.ai/docs/pass_through/cohere), [PR](https://github.com/BerriAI/litellm/pull/9997)
+- **Azure**
+1. Support azure tenant\_id/client\_id env vars - [Get Started](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret), [PR](https://github.com/BerriAI/litellm/pull/9993)
+2. Fix response\_format check for 2025+ api versions - [PR](https://github.com/BerriAI/litellm/pull/9993)
+3. Add gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing
+- **VLLM**
+1. Files - Support 'file' message type for VLLM video url's - [Get Started](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm), [PR](https://github.com/BerriAI/litellm/pull/10129)
+2. Passthrough - new `/vllm/` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/vllm), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **Mistral**
+1. new `/mistral` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/mistral), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **AWS**
+1. New mapped bedrock regions - [PR](https://github.com/BerriAI/litellm/pull/9430)
+- **VertexAI / Google AI Studio**
+1. Gemini - Response format - Retain schema field ordering for google gemini and vertex by specifying propertyOrdering - [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema), [PR](https://github.com/BerriAI/litellm/pull/9828)
+2. Gemini-2.5-flash - return reasoning content [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#thinking--reasoning_content)
+3. Gemini-2.5-flash - pricing + model information [PR](https://github.com/BerriAI/litellm/pull/10125)
+4. Passthrough - new `/vertex_ai/discovery` route - enables calling AgentBuilder API routes [Get Started](https://docs.litellm.ai/docs/pass_through/vertex_ai#supported-api-endpoints), [PR](https://github.com/BerriAI/litellm/pull/10084)
+- **Fireworks AI**
+1. return tool calling responses in `tool_calls` field (fireworks incorrectly returns this as a json str in content) [PR](https://github.com/BerriAI/litellm/pull/10130)
+- **Triton**
+1. Remove fixed remove bad\_words / stop words from `/generate` call - [Get Started](https://docs.litellm.ai/docs/providers/triton-inference-server#triton-generate---chat-completion), [PR](https://github.com/BerriAI/litellm/pull/10163)
+- **Other**
+1. Support for all litellm providers on Responses API (works with Codex) - [Get Started](https://docs.litellm.ai/docs/tutorials/openai_codex), [PR](https://github.com/BerriAI/litellm/pull/10132)
+2. Fix combining multiple tool calls in streaming response - [Get Started](https://docs.litellm.ai/docs/completion/stream#helper-function), [PR](https://github.com/BerriAI/litellm/pull/10040)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Cost Control** \- inject cache control points in prompt for cost reduction [Get Started](https://docs.litellm.ai/docs/tutorials/prompt_caching), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Spend Tags** \- spend tags in headers - support x-litellm-tags even if tag based routing not enabled [Get Started](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Gemini-2.5-flash** \- support cost calculation for reasoning tokens [PR](https://github.com/BerriAI/litellm/pull/10141)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Users**
+
+1. Show created\_at and updated\_at on users page - [PR](https://github.com/BerriAI/litellm/pull/10033)
+- **Virtual Keys**
+
+1. Filter by key alias - [https://github.com/BerriAI/litellm/pull/10085](https://github.com/BerriAI/litellm/pull/10085)
+- **Usage Tab**
+
+1. Team based usage
+
+
+ - New `LiteLLM_DailyTeamSpend` Table for aggregate team based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10039)
+
+ - New Team based usage dashboard + new `/team/daily/activity` API - [PR](https://github.com/BerriAI/litellm/pull/10081)
+
+ - Return team alias on /team/daily/activity API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow internal user view spend for teams they belong to - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow viewing top keys by team - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+
+
+
+2. Tag Based Usage
+
+ - New `LiteLLM_DailyTagSpend` Table for aggregate tag based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10071)
+ - Restrict to only Proxy Admins - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ - allow viewing top keys by tag
+ - Return tags passed in request (i.e. dynamic tags) on `/tag/list` API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ 
+3. Track prompt caching metrics in daily user, team, tag tables - [PR](https://github.com/BerriAI/litellm/pull/10029)
+
+4. Show usage by key (on all up, team, and tag usage dashboards) - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+5. swap old usage with new usage tab
+- **Models**
+
+1. Make columns resizable/hideable - [PR](https://github.com/BerriAI/litellm/pull/10119)
+- **API Playground**
+
+1. Allow internal user to call api playground - [PR](https://github.com/BerriAI/litellm/pull/10157)
+- **SCIM**
+
+1. Add LiteLLM SCIM Integration for Team and User management - [Get Started](https://docs.litellm.ai/docs/tutorials/scim_litellm), [PR](https://github.com/BerriAI/litellm/pull/10072)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **GCS**
+1. Fix gcs pub sub logging with env var GCS\_PROJECT\_ID - [Get Started](https://docs.litellm.ai/docs/observability/gcs_bucket_integration#usage), [PR](https://github.com/BerriAI/litellm/pull/10042)
+- **AIM**
+1. Add litellm call id passing to Aim guardrails on pre and post-hooks calls - [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/aim_security), [PR](https://github.com/BerriAI/litellm/pull/10021)
+- **Azure blob storage**
+1. Ensure logging works in high throughput scenarios - [Get Started](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage), [PR](https://github.com/BerriAI/litellm/pull/9962)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Support setting `litellm.modify_params` via env var** [PR](https://github.com/BerriAI/litellm/pull/9964)
+- **Model Discovery** \- Check provider’s `/models` endpoints when calling proxy’s `/v1/models` endpoint - [Get Started](https://docs.litellm.ai/docs/proxy/model_discovery), [PR](https://github.com/BerriAI/litellm/pull/9958)
+- **`/utils/token_counter`** \- fix retrieving custom tokenizer for db models - [Get Started](https://docs.litellm.ai/docs/proxy/configs#set-custom-tokenizer), [PR](https://github.com/BerriAI/litellm/pull/10047)
+- **Prisma migrate** \- handle existing columns in db table - [PR](https://github.com/BerriAI/litellm/pull/10138)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.66.0-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.66.0.post1
+
+```
+
+v1.66.0-stable is live now, here are the key highlights of this release
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+- **Realtime API Cost Tracking**: Track cost of realtime API calls
+- **Microsoft SSO Auto-sync**: Auto-sync groups and group members from Azure Entra ID to LiteLLM
+- **xAI grok-3**: Added support for `xai/grok-3` models
+- **Security Fixes**: Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) and [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) vulnerabilities
+
+Let's dive in.
+
+## Realtime API Cost Tracking [](https://docs.litellm.ai/release_notes\#realtime-api-cost-tracking "Direct link to Realtime API Cost Tracking")
+
+
+
+This release adds Realtime API logging + cost tracking.
+
+- **Logging**: LiteLLM now logs the complete response from realtime calls to all logging integrations (DB, S3, Langfuse, etc.)
+- **Cost Tracking**: You can now set 'base\_model' and custom pricing for realtime models. [Custom Pricing](https://docs.litellm.ai/docs/proxy/custom_pricing)
+- **Budgets**: Your key/user/team budgets now work for realtime models as well.
+
+Start [here](https://docs.litellm.ai/docs/realtime)
+
+## Microsoft SSO Auto-sync [](https://docs.litellm.ai/release_notes\#microsoft-sso-auto-sync "Direct link to Microsoft SSO Auto-sync")
+
+
+
+Auto-sync groups and members from Azure Entra ID to LiteLLM
+
+This release adds support for auto-syncing groups and members on Microsoft Entra ID with LiteLLM. This means that LiteLLM proxy administrators can spend less time managing teams and members and LiteLLM handles the following:
+
+- Auto-create teams that exist on Microsoft Entra ID
+- Sync team members on Microsoft Entra ID with LiteLLM teams
+
+Get started with this [here](https://docs.litellm.ai/docs/tutorials/msft_sso)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **xAI**
+
+1. Added reasoning\_effort support for `xai/grok-3-mini-beta` [Get Started](https://docs.litellm.ai/docs/providers/xai#reasoning-usage)
+2. Added cost tracking for `xai/grok-3` models [PR](https://github.com/BerriAI/litellm/pull/9920)
+- **Hugging Face**
+
+1. Added inference providers support [Get Started](https://docs.litellm.ai/docs/providers/huggingface#serverless-inference-providers)
+- **Azure**
+
+1. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **VertexAI**
+
+1. Added enterpriseWebSearch tool support [Get Started](https://docs.litellm.ai/docs/providers/vertex#grounding---web-search)
+2. Moved to only passing keys accepted by the Vertex AI response schema [PR](https://github.com/BerriAI/litellm/pull/8992)
+- **Google AI Studio**
+
+1. Added cost tracking for `gemini-2.5-pro` [PR](https://github.com/BerriAI/litellm/pull/9837)
+2. Fixed pricing for 'gemini/gemini-2.5-pro-preview-03-25' [PR](https://github.com/BerriAI/litellm/pull/9896)
+3. Fixed handling file\_data being passed in [PR](https://github.com/BerriAI/litellm/pull/9786)
+- **Azure**
+
+1. Updated Azure Phi-4 pricing [PR](https://github.com/BerriAI/litellm/pull/9862)
+2. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **Databricks**
+
+1. Removed reasoning\_effort from parameters [PR](https://github.com/BerriAI/litellm/pull/9811)
+2. Fixed custom endpoint check for Databricks [PR](https://github.com/BerriAI/litellm/pull/9925)
+- **General**
+
+1. Added litellm.supports\_reasoning() util to track if an llm supports reasoning [Get Started](https://docs.litellm.ai/docs/providers/anthropic#reasoning)
+2. Function Calling - Handle pydantic base model in message tool calls, handle tools = \[\], and support fake streaming on tool calls for meta.llama3-3-70b-instruct-v1:0 [PR](https://github.com/BerriAI/litellm/pull/9774)
+3. LiteLLM Proxy - Allow passing `thinking` param to litellm proxy via client sdk [PR](https://github.com/BerriAI/litellm/pull/9386)
+4. Fixed correctly translating 'thinking' param for litellm [PR](https://github.com/BerriAI/litellm/pull/9904)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **OpenAI, Azure**
+1. Realtime API Cost tracking with token usage metrics in spend logs [Get Started](https://docs.litellm.ai/docs/realtime)
+- **Anthropic**
+1. Fixed Claude Haiku cache read pricing per token [PR](https://github.com/BerriAI/litellm/pull/9834)
+2. Added cost tracking for Claude responses with base\_model [PR](https://github.com/BerriAI/litellm/pull/9897)
+3. Fixed Anthropic prompt caching cost calculation and trimmed logged message in db [PR](https://github.com/BerriAI/litellm/pull/9838)
+- **General**
+1. Added token tracking and log usage object in spend logs [PR](https://github.com/BerriAI/litellm/pull/9843)
+2. Handle custom pricing at deployment level [PR](https://github.com/BerriAI/litellm/pull/9855)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Test Key Tab**
+
+1. Added rendering of Reasoning content, ttft, usage metrics on test key page [PR](https://github.com/BerriAI/litellm/pull/9931)
+
+ 
+
+ View input, output, reasoning tokens, ttft metrics.
+- **Tag / Policy Management**
+
+1. Added Tag/Policy Management. Create routing rules based on request metadata. This allows you to enforce that requests with `tags="private"` only go to specific models. [Get Started](https://docs.litellm.ai/docs/tutorials/tag_management)
+
+
+
+ 
+
+ Create and manage tags.
+- **Redesigned Login Screen**
+
+1. Polished login screen [PR](https://github.com/BerriAI/litellm/pull/9778)
+- **Microsoft SSO Auto-Sync**
+
+1. Added debug route to allow admins to debug SSO JWT fields [PR](https://github.com/BerriAI/litellm/pull/9835)
+2. Added ability to use MSFT Graph API to assign users to teams [PR](https://github.com/BerriAI/litellm/pull/9865)
+3. Connected litellm to Azure Entra ID Enterprise Application [PR](https://github.com/BerriAI/litellm/pull/9872)
+4. Added ability for admins to set `default_team_params` for when litellm SSO creates default teams [PR](https://github.com/BerriAI/litellm/pull/9895)
+5. Fixed MSFT SSO to use correct field for user email [PR](https://github.com/BerriAI/litellm/pull/9886)
+6. Added UI support for setting Default Team setting when litellm SSO auto creates teams [PR](https://github.com/BerriAI/litellm/pull/9918)
+- **UI Bug Fixes**
+
+1. Prevented team, key, org, model numerical values changing on scrolling [PR](https://github.com/BerriAI/litellm/pull/9776)
+2. Instantly reflect key and team updates in UI [PR](https://github.com/BerriAI/litellm/pull/9825)
+
+## Logging / Guardrail Improvements [](https://docs.litellm.ai/release_notes\#logging--guardrail-improvements "Direct link to Logging / Guardrail Improvements")
+
+- **Prometheus**
+1. Emit Key and Team Budget metrics on a cron job schedule [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#initialize-budget-metrics-on-startup)
+
+## Security Fixes [](https://docs.litellm.ai/release_notes\#security-fixes "Direct link to Security Fixes")
+
+- Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) \- Leakage of Langfuse API keys in team exception handling [PR](https://github.com/BerriAI/litellm/pull/9830)
+- Fixed [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) \- Remote code execution in post call rules [PR](https://github.com/BerriAI/litellm/pull/9826)
+
+## Helm [](https://docs.litellm.ai/release_notes\#helm "Direct link to Helm")
+
+- Added service annotations to litellm-helm chart [PR](https://github.com/BerriAI/litellm/pull/9840)
+- Added extraEnvVars to the helm deployment [PR](https://github.com/BerriAI/litellm/pull/9292)
+
+## Demo [](https://docs.litellm.ai/release_notes\#demo "Direct link to Demo")
+
+Try this on the demo instance [today](https://docs.litellm.ai/docs/proxy/demo)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+See the complete git diff since v1.65.4-stable, [here](https://github.com/BerriAI/litellm/releases/tag/v1.66.0-stable)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.65.4-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.65.4.post1
+
+```
+
+v1.65.4-stable is live. Here are the improvements since v1.65.0-stable.
+
+## Key Highlights [](https://docs.litellm.ai/release_notes\#key-highlights "Direct link to Key Highlights")
+
+- **Preventing DB Deadlocks**: Fixes a high-traffic issue when multiple instances were writing to the DB at the same time.
+- **New Usage Tab**: Enables viewing spend by model and customizing date range
+
+Let's dive in.
+
+### Preventing DB Deadlocks [](https://docs.litellm.ai/release_notes\#preventing-db-deadlocks "Direct link to Preventing DB Deadlocks")
+
+
+
+This release fixes the DB deadlocking issue that users faced in high traffic (10K+ RPS). This is great because it enables user/key/team spend tracking works at that scale.
+
+Read more about the new architecture [here](https://docs.litellm.ai/docs/proxy/db_deadlocks)
+
+### New Usage Tab [](https://docs.litellm.ai/release_notes\#new-usage-tab "Direct link to New Usage Tab")
+
+
+
+The new Usage tab now brings the ability to track daily spend by model. This makes it easier to catch any spend tracking or token counting errors, when combined with the ability to view successful requests, and token usage.
+
+To test this out, just go to Experimental > New Usage > Activity.
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Databricks - claude-3-7-sonnet cost tracking [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L10350)
+2. VertexAI - `gemini-2.5-pro-exp-03-25` cost tracking [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L4492)
+3. VertexAI - `gemini-2.0-flash` cost tracking [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L4689)
+4. Groq - add whisper ASR models to model cost map [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L3324)
+5. IBM - Add watsonx/ibm/granite-3-8b-instruct to model cost map [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L91)
+6. Google AI Studio - add gemini/gemini-2.5-pro-preview-03-25 to model cost map [PR](https://github.com/BerriAI/litellm/blob/52b35cd8093b9ad833987b24f494586a1e923209/model_prices_and_context_window.json#L4850)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+01. Vertex AI - Support anyOf param for OpenAI json schema translation [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema)
+02. Anthropic- response\_format + thinking param support (works across Anthropic API, Bedrock, Vertex) [Get Started](https://docs.litellm.ai/docs/reasoning_content)
+03. Anthropic - if thinking token is specified and max tokens is not - ensure max token to anthropic is higher than thinking tokens (works across Anthropic API, Bedrock, Vertex) [PR](https://github.com/BerriAI/litellm/pull/9594)
+04. Bedrock - latency optimized inference support [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---latency-optimized-inference)
+05. Sagemaker - handle special tokens + multibyte character code in response [Get Started](https://docs.litellm.ai/docs/providers/aws_sagemaker)
+06. MCP - add support for using SSE MCP servers [Get Started](https://docs.litellm.ai/docs/mcp#usage)
+07. Anthropic - new `litellm.messages.create` interface for calling Anthropic `/v1/messages` via passthrough [Get Started](https://docs.litellm.ai/docs/anthropic_unified#usage)
+08. Anthropic - support ‘file’ content type in message param (works across Anthropic API, Bedrock, Vertex) [Get Started](https://docs.litellm.ai/docs/providers/anthropic#usage---pdf)
+09. Anthropic - map openai 'reasoning\_effort' to anthropic 'thinking' param (works across Anthropic API, Bedrock, Vertex) [Get Started](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+10. Google AI Studio (Gemini) - \[BETA\] `/v1/files` upload support [Get Started](https://docs.litellm.ai/docs/providers/google_ai_studio/files)
+11. Azure - fix o-series tool calling [Get Started](https://docs.litellm.ai/docs/providers/azure#tool-calling--function-calling)
+12. Unified file id - \[ALPHA\] allow calling multiple providers with same file id [PR](https://github.com/BerriAI/litellm/pull/9718)
+ - This is experimental, and not recommended for production use.
+ - We plan to have a production-ready implementation by next week.
+13. Google AI Studio (Gemini) - return logprobs [PR](https://github.com/BerriAI/litellm/pull/9713)
+14. Anthropic - Support prompt caching for Anthropic tool calls [Get Started](https://docs.litellm.ai/docs/completion/prompt_caching)
+15. OpenRouter - unwrap extra body on open router calls [PR](https://github.com/BerriAI/litellm/pull/9747)
+16. VertexAI - fix credential caching issue [PR](https://github.com/BerriAI/litellm/pull/9756)
+17. XAI - filter out 'name' param for XAI [PR](https://github.com/BerriAI/litellm/pull/9761)
+18. Gemini - image generation output support [Get Started](https://docs.litellm.ai/docs/providers/gemini#image-generation)
+19. Databricks - support claude-3-7-sonnet w/ thinking + response\_format [Get Started](https://docs.litellm.ai/docs/providers/databricks#usage---thinking--reasoning_content)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Reliability fix - Check sent and received model for cost calculation [PR](https://github.com/BerriAI/litellm/pull/9669)
+2. Vertex AI - Multimodal embedding cost tracking [Get Started](https://docs.litellm.ai/docs/providers/vertex#multi-modal-embeddings), [PR](https://github.com/BerriAI/litellm/pull/9623)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+
+
+1. New Usage Tab
+ - Report 'total\_tokens' + report success/failure calls
+ - Remove double bars on scroll
+ - Ensure ‘daily spend’ chart ordered from earliest to latest date
+ - showing spend per model per day
+ - show key alias on usage tab
+ - Allow non-admins to view their activity
+ - Add date picker to new usage tab
+2. Virtual Keys Tab
+ - remove 'default key' on user signup
+ - fix showing user models available for personal key creation
+3. Test Key Tab
+ - Allow testing image generation models
+4. Models Tab
+ - Fix bulk adding models
+ - support reusable credentials for passthrough endpoints
+ - Allow team members to see team models
+5. Teams Tab
+ - Fix json serialization error on update team metadata
+6. Request Logs Tab
+ - Add reasoning\_content token tracking across all providers on streaming
+7. API
+ - return key alias on /user/daily/activity [Get Started](https://docs.litellm.ai/docs/proxy/cost_tracking#daily-spend-breakdown-api)
+8. SSO
+ - Allow assigning SSO users to teams on MSFT SSO [PR](https://github.com/BerriAI/litellm/pull/9745)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Console Logs - Add json formatting for uncaught exceptions [PR](https://github.com/BerriAI/litellm/pull/9619)
+2. Guardrails - AIM Guardrails support for virtual key based policies [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)
+3. Logging - fix completion start time tracking [PR](https://github.com/BerriAI/litellm/pull/9688)
+4. Prometheus
+ - Allow adding authentication on Prometheus /metrics endpoints [PR](https://github.com/BerriAI/litellm/pull/9766)
+ - Distinguish LLM Provider Exception vs. LiteLLM Exception in metric naming [PR](https://github.com/BerriAI/litellm/pull/9760)
+ - Emit operational metrics for new DB Transaction architecture [PR](https://github.com/BerriAI/litellm/pull/9719)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Preventing Deadlocks
+ - Reduce DB Deadlocks by storing spend updates in Redis and then committing to DB [PR](https://github.com/BerriAI/litellm/pull/9608)
+ - Ensure no deadlocks occur when updating DailyUserSpendTransaction [PR](https://github.com/BerriAI/litellm/pull/9690)
+ - High Traffic fix - ensure new DB + Redis architecture accurately tracks spend [PR](https://github.com/BerriAI/litellm/pull/9673)
+ - Use Redis for PodLock Manager instead of PG (ensures no deadlocks occur) [PR](https://github.com/BerriAI/litellm/pull/9715)
+ - v2 DB Deadlock Reduction Architecture – Add Max Size for In-Memory Queue + Backpressure Mechanism [PR](https://github.com/BerriAI/litellm/pull/9759)
+2. Prisma Migrations [Get Started](https://docs.litellm.ai/docs/proxy/prod#9-use-prisma-migrate-deploy)
+ - connects litellm proxy to litellm's prisma migration files
+ - Handle db schema updates from new `litellm-proxy-extras` sdk
+3. Redis - support password for sync sentinel clients [PR](https://github.com/BerriAI/litellm/pull/9622)
+4. Fix "Circular reference detected" error when max\_parallel\_requests = 0 [PR](https://github.com/BerriAI/litellm/pull/9671)
+5. Code QA - Ban hardcoded numbers [PR](https://github.com/BerriAI/litellm/pull/9709)
+
+## Helm [](https://docs.litellm.ai/release_notes\#helm "Direct link to Helm")
+
+1. fix: wrong indentation of ttlSecondsAfterFinished in chart [PR](https://github.com/BerriAI/litellm/pull/9611)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Fix - only apply service\_account\_settings.enforced\_params on service accounts [PR](https://github.com/BerriAI/litellm/pull/9683)
+2. Fix - handle metadata null on `/chat/completion` [PR](https://github.com/BerriAI/litellm/issues/9717)
+3. Fix - Move daily user transaction logging outside of 'disable\_spend\_logs' flag, as they’re unrelated [PR](https://github.com/BerriAI/litellm/pull/9772)
+
+## Demo [](https://docs.litellm.ai/release_notes\#demo "Direct link to Demo")
+
+Try this on the demo instance [today](https://docs.litellm.ai/docs/proxy/demo)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+See the complete git diff since v1.65.0-stable, [here](https://github.com/BerriAI/litellm/releases/tag/v1.65.4-stable)
+
+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.
+- **UI view total usage after 1M+ logs**: You can now view usage analytics after crossing 1M+ logs in DB.
+
+## Model Context Protocol (MCP) [](https://docs.litellm.ai/release_notes\#model-context-protocol-mcp "Direct link to Model Context Protocol (MCP)")
+
+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.
+
+Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
+
+
+
+Expose and use MCP servers through LiteLLM
+
+## UI view total usage after 1M+ logs [](https://docs.litellm.ai/release_notes\#ui-view-total-usage-after-1m-logs "Direct link to UI view total usage after 1M+ logs")
+
+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.
+
+
+
+View total usage after 1M+ logs
+
+- 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:
+
+
+
+ Daily Spend Breakdown API
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ curl -L -X GET 'http://localhost:4000/user/daily/activity?start_date=2025-03-20&end_date=2025-03-27' \
+ -H 'Authorization: Bearer sk-...'
+
+ ```
+
+
+
+
+
+
+
+
+
+
+
+ Daily Spend Breakdown API Response
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ {
+ "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 [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to 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 [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to 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)
+- 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)
+- 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 [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes\#ui "Direct link to UI")
+
+### Model Management [](https://docs.litellm.ai/release_notes\#model-management "Direct link to 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 [](https://docs.litellm.ai/release_notes\#request-logs "Direct link to 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 [](https://docs.litellm.ai/release_notes\#usage-tab "Direct link to 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 [](https://docs.litellm.ai/release_notes\#logging-integrations "Direct link to 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 [](https://docs.litellm.ai/release_notes\#performance--reliability-improvements "Direct link to 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)
+
+## General Improvements [](https://docs.litellm.ai/release_notes\#general-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes\#security "Direct link to 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 [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)
+
+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 [](https://docs.litellm.ai/release_notes\#additional-changes "Direct link to 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.
+
+
+
+These are the changes since `v1.63.11-stable`.
+
+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 [](https://docs.litellm.ai/release_notes\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.14-stable.patch1
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Azure gpt-4o - fixed pricing to latest global pricing - [PR](https://github.com/BerriAI/litellm/pull/9361)
+- O1-Pro - add pricing + model information - [PR](https://github.com/BerriAI/litellm/pull/9397)
+- Azure AI - mistral 3.1 small pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+- Azure - gpt-4.5-preview pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+1. **New LLM Features**
+
+- Bedrock: Support bedrock application inference profiles [Docs](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile)
+ - Infer aws region from bedrock application profile id - ( `arn:aws:bedrock:us-east-1:...`)
+- Ollama - support calling via `/v1/completions` [Get Started](https://docs.litellm.ai/docs/providers/ollama#using-ollama-fim-on-v1completions)
+- Bedrock - support `us.deepseek.r1-v1:0` model name [Docs](https://docs.litellm.ai/docs/providers/bedrock#supported-aws-bedrock-models)
+- OpenRouter - `OPENROUTER_API_BASE` env var support [Docs](https://docs.litellm.ai/docs/providers/openrouter.md)
+- Azure - add audio model parameter support - [Docs](https://docs.litellm.ai/docs/providers/azure#azure-audio-model)
+- OpenAI - PDF File support [Docs](https://docs.litellm.ai/docs/completion/document_understanding#openai-file-message-type)
+- OpenAI - o1-pro Responses API streaming support [Docs](https://docs.litellm.ai/docs/response_api.md#streaming)
+- \[BETA\] MCP - Use MCP Tools with LiteLLM SDK [Docs](https://docs.litellm.ai/docs/mcp)
+
+2. **Bug Fixes**
+
+- Voyage: prompt token on embedding tracking fix - [PR](https://github.com/BerriAI/litellm/commit/56d3e75b330c3c3862dc6e1c51c1210e48f1068e)
+- Sagemaker - Fix ‘Too little data for declared Content-Length’ error - [PR](https://github.com/BerriAI/litellm/pull/9326)
+- OpenAI-compatible models - fix issue when calling openai-compatible models w/ custom\_llm\_provider set - [PR](https://github.com/BerriAI/litellm/pull/9355)
+- VertexAI - Embedding ‘outputDimensionality’ support - [PR](https://github.com/BerriAI/litellm/commit/437dbe724620675295f298164a076cbd8019d304)
+- Anthropic - return consistent json response format on streaming/non-streaming - [PR](https://github.com/BerriAI/litellm/pull/9437)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- `litellm_proxy/` \- support reading litellm response cost header from proxy, when using client sdk
+- Reset Budget Job - fix budget reset error on keys/teams/users [PR](https://github.com/BerriAI/litellm/pull/9329)
+- Streaming - Prevents final chunk w/ usage from being ignored (impacted bedrock streaming + cost tracking) [PR](https://github.com/BerriAI/litellm/pull/9314)
+
+## UI [](https://docs.litellm.ai/release_notes\#ui "Direct link to UI")
+
+1. Users Page
+ - Feature: Control default internal user settings [PR](https://github.com/BerriAI/litellm/pull/9328)
+2. Icons:
+ - Feature: Replace external "artificialanalysis.ai" icons by local svg [PR](https://github.com/BerriAI/litellm/pull/9374)
+3. Sign In/Sign Out
+ - Fix: Default login when `default_user_id` user does not exist in DB [PR](https://github.com/BerriAI/litellm/pull/9395)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes\#logging-integrations "Direct link to Logging Integrations")
+
+- Support post-call guardrails for streaming responses [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#1-write-a-customguardrail-class)
+- Arize [Get Started](https://docs.litellm.ai/docs/observability/arize_integration)
+ - fix invalid package import [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - migrate to using standardloggingpayload for metadata, ensures spans land successfully [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - fix logging to just log the LLM I/O [PR](https://github.com/BerriAI/litellm/pull/9353)
+ - Dynamic API Key/Space param support [Get Started](https://docs.litellm.ai/docs/observability/arize_integration#pass-arize-spacekey-per-request)
+- StandardLoggingPayload - Log litellm\_model\_name in payload. Allows knowing what the model sent to API provider was [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardlogginghiddenparams)
+- Prompt Management - Allow building custom prompt management integration [Get Started](https://docs.litellm.ai/docs/proxy/custom_prompt_management.md)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+- Redis Caching - add 5s default timeout, prevents hanging redis connection from impacting llm calls [PR](https://github.com/BerriAI/litellm/commit/db92956ae33ed4c4e3233d7e1b0c7229817159bf)
+- Allow disabling all spend updates / writes to DB - patch to allow disabling all spend updates to DB with a flag [PR](https://github.com/BerriAI/litellm/pull/9331)
+- Azure OpenAI - correctly re-use azure openai client, fixes perf issue from previous Stable release [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Azure OpenAI - uses litellm.ssl\_verify on Azure/OpenAI clients [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Usage-based routing - Wildcard model support [Get Started](https://docs.litellm.ai/docs/proxy/usage_based_routing#wildcard-model-support)
+- Usage-based routing - Support batch writing increments to redis - reduces latency to same as ‘simple-shuffle’ [PR](https://github.com/BerriAI/litellm/pull/9357)
+- Router - show reason for model cooldown on ‘no healthy deployments available error’ [PR](https://github.com/BerriAI/litellm/pull/9438)
+- Caching - add max value limit to an item in in-memory cache (1MB) - prevents OOM errors on large image url’s being sent through proxy [PR](https://github.com/BerriAI/litellm/pull/9448)
+
+## General Improvements [](https://docs.litellm.ai/release_notes\#general-improvements "Direct link to General Improvements")
+
+- Passthrough Endpoints - support returning api-base on pass-through endpoints Response Headers [Docs](https://docs.litellm.ai/docs/proxy/response_headers#litellm-specific-headers)
+- SSL - support reading ssl security level from env var - Allows user to specify lower security settings [Get Started](https://docs.litellm.ai/docs/guides/security_settings)
+- Credentials - only poll Credentials table when `STORE_MODEL_IN_DB` is True [PR](https://github.com/BerriAI/litellm/pull/9376)
+- Image URL Handling - new architecture doc on image url handling [Docs](https://docs.litellm.ai/docs/proxy/image_handling)
+- OpenAI - bump to pip install "openai==1.68.2" [PR](https://github.com/BerriAI/litellm/commit/e85e3bc52a9de86ad85c3dbb12d87664ee567a5a)
+- Gunicorn - security fix - bump gunicorn==23.0.0 [PR](https://github.com/BerriAI/litellm/commit/7e9fc92f5c7fea1e7294171cd3859d55384166eb)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.11-stable...v1.63.14.rc)
+
+These are the changes since `v1.63.2-stable`.
+
+This release is primarily focused on:
+
+- \[Beta\] Responses API Support
+- Snowflake Cortex Support, Amazon Nova Image Generation
+- UI - Credential Management, re-use credentials when adding new models
+- UI - Test Connection to LLM Provider before adding a model
+
+## Known Issues [](https://docs.litellm.ai/release_notes\#known-issues "Direct link to Known Issues")
+
+- 🚨 Known issue on Azure OpenAI - We don't recommend upgrading if you use Azure OpenAI. This version failed our Azure OpenAI load test
+
+## Docker Run LiteLLM Proxy [](https://docs.litellm.ai/release_notes\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.11-stable
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Image Generation support for Amazon Nova Canvas [Getting Started](https://docs.litellm.ai/docs/providers/bedrock#image-generation)
+- Add pricing for Jamba new models [PR](https://github.com/BerriAI/litellm/pull/9032/files)
+- Add pricing for Amazon EU models [PR](https://github.com/BerriAI/litellm/pull/9056/files)
+- Add Bedrock Deepseek R1 model pricing [PR](https://github.com/BerriAI/litellm/pull/9108/files)
+- Update Gemini pricing: Gemma 3, Flash 2 thinking update, LearnLM [PR](https://github.com/BerriAI/litellm/pull/9190/files)
+- Mark Cohere Embedding 3 models as Multimodal [PR](https://github.com/BerriAI/litellm/pull/9176/commits/c9a576ce4221fc6e50dc47cdf64ab62736c9da41)
+- Add Azure Data Zone pricing [PR](https://github.com/BerriAI/litellm/pull/9185/files#diff-19ad91c53996e178c1921cbacadf6f3bae20cfe062bd03ee6bfffb72f847ee37)
+ - LiteLLM Tracks cost for `azure/eu` and `azure/us` models
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+
+
+1. **New Endpoints**
+
+- \[Beta\] POST `/responses` API. [Getting Started](https://docs.litellm.ai/docs/response_api)
+
+2. **New LLM Providers**
+
+- Snowflake Cortex [Getting Started](https://docs.litellm.ai/docs/providers/snowflake)
+
+3. **New LLM Features**
+
+- Support OpenRouter `reasoning_content` on streaming [Getting Started](https://docs.litellm.ai/docs/reasoning_content)
+
+4. **Bug Fixes**
+
+- OpenAI: Return `code`, `param` and `type` on bad request error [More information on litellm exceptions](https://docs.litellm.ai/docs/exception_mapping)
+- Bedrock: Fix converse chunk parsing to only return empty dict on tool use [PR](https://github.com/BerriAI/litellm/pull/9166)
+- Bedrock: Support extra\_headers [PR](https://github.com/BerriAI/litellm/pull/9113)
+- Azure: Fix Function Calling Bug & Update Default API Version to `2025-02-01-preview` [PR](https://github.com/BerriAI/litellm/pull/9191)
+- Azure: Fix AI services URL [PR](https://github.com/BerriAI/litellm/pull/9185)
+- Vertex AI: Handle HTTP 201 status code in response [PR](https://github.com/BerriAI/litellm/pull/9193)
+- Perplexity: Fix incorrect streaming response [PR](https://github.com/BerriAI/litellm/pull/9081)
+- Triton: Fix streaming completions bug [PR](https://github.com/BerriAI/litellm/pull/8386)
+- Deepgram: Support bytes.IO when handling audio files for transcription [PR](https://github.com/BerriAI/litellm/pull/9071)
+- Ollama: Fix "system" role has become unacceptable [PR](https://github.com/BerriAI/litellm/pull/9261)
+- All Providers (Streaming): Fix String `data:` stripped from entire content in streamed responses [PR](https://github.com/BerriAI/litellm/pull/9070)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Support Bedrock converse cache token tracking [Getting Started](https://docs.litellm.ai/docs/completion/prompt_caching)
+2. Cost Tracking for Responses API [Getting Started](https://docs.litellm.ai/docs/response_api)
+3. Fix Azure Whisper cost tracking [Getting Started](https://docs.litellm.ai/docs/audio_transcription)
+
+## UI [](https://docs.litellm.ai/release_notes\#ui "Direct link to UI")
+
+### Re-Use Credentials on UI [](https://docs.litellm.ai/release_notes\#re-use-credentials-on-ui "Direct link to Re-Use Credentials on UI")
+
+You can now onboard LLM provider credentials on LiteLLM UI. Once these credentials are added you can re-use them when adding new models [Getting Started](https://docs.litellm.ai/docs/proxy/ui_credentials)
+
+
+
+### Test Connections before adding models [](https://docs.litellm.ai/release_notes\#test-connections-before-adding-models "Direct link to Test Connections before adding models")
+
+Before adding a model you can test the connection to the LLM provider to verify you have setup your API Base + API Key correctly
+
+
+
+### General UI Improvements [](https://docs.litellm.ai/release_notes\#general-ui-improvements "Direct link to General UI Improvements")
+
+1. Add Models Page
+ - Allow adding Cerebras, Sambanova, Perplexity, Fireworks, Openrouter, TogetherAI Models, Text-Completion OpenAI on Admin UI
+ - Allow adding EU OpenAI models
+ - Fix: Instantly show edit + deletes to models
+2. Keys Page
+ - Fix: Instantly show newly created keys on Admin UI (don't require refresh)
+ - Fix: Allow clicking into Top Keys when showing users Top API Key
+ - Fix: Allow Filter Keys by Team Alias, Key Alias and Org
+ - UI Improvements: Show 100 Keys Per Page, Use full height, increase width of key alias
+3. Users Page
+ - Fix: Show correct count of internal user keys on Users Page
+ - Fix: Metadata not updating in Team UI
+4. Logs Page
+ - UI Improvements: Keep expanded log in focus on LiteLLM UI
+ - UI Improvements: Minor improvements to logs page
+ - Fix: Allow internal user to query their own logs
+ - Allow switching off storing Error Logs in DB [Getting Started](https://docs.litellm.ai/docs/proxy/ui_logs)
+5. Sign In/Sign Out
+ - Fix: Correctly use `PROXY_LOGOUT_URL` when set [Getting Started](https://docs.litellm.ai/docs/proxy/self_serve#setting-custom-logout-urls)
+
+## Security [](https://docs.litellm.ai/release_notes\#security "Direct link to Security")
+
+1. Support for Rotating Master Keys [Getting Started](https://docs.litellm.ai/docs/proxy/master_key_rotations)
+2. Fix: Internal User Viewer Permissions, don't allow `internal_user_viewer` role to see `Test Key Page` or `Create Key Button` [More information on role based access controls](https://docs.litellm.ai/docs/proxy/access_control)
+3. Emit audit logs on All user + model Create/Update/Delete endpoints [Getting Started](https://docs.litellm.ai/docs/proxy/multiple_admins)
+4. JWT
+ - Support multiple JWT OIDC providers [Getting Started](https://docs.litellm.ai/docs/proxy/token_auth)
+ - Fix JWT access with Groups not working when team is assigned All Proxy Models access
+5. Using K/V pairs in 1 AWS Secret [Getting Started](https://docs.litellm.ai/docs/secret#using-kv-pairs-in-1-aws-secret)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes\#logging-integrations "Direct link to Logging Integrations")
+
+1. Prometheus: Track Azure LLM API latency metric [Getting Started](https://docs.litellm.ai/docs/proxy/prometheus#request-latency-metrics)
+2. Athina: Added tags, user\_feedback and model\_options to additional\_keys which can be sent to Athina [Getting Started](https://docs.litellm.ai/docs/observability/athina_integration)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+1. Redis + litellm router - Fix Redis cluster mode for litellm router [PR](https://github.com/BerriAI/litellm/pull/9010)
+
+## General Improvements [](https://docs.litellm.ai/release_notes\#general-improvements "Direct link to General Improvements")
+
+1. OpenWebUI Integration - display `thinking` tokens
+
+- Guide on getting started with LiteLLM x OpenWebUI. [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui)
+- Display `thinking` tokens on OpenWebUI (Bedrock, Anthropic, Deepseek) [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui#render-thinking-content-on-openweb-ui)
+
+
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.2-stable...v1.63.11-stable)
+
+These are the changes since `v1.61.20-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (more `thinking` content improvements)
+- UI improvements (Error logs now shown on UI)
+
+info
+
+This release will be live on 03/09/2025
+
+
+
+## Demo Instance [](https://docs.litellm.ai/release_notes\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Add `supports_pdf_input` for specific Bedrock Claude models [PR](https://github.com/BerriAI/litellm/commit/f63cf0030679fe1a43d03fb196e815a0f28dae92)
+2. Add pricing for amazon `eu` models [PR](https://github.com/BerriAI/litellm/commits/main/model_prices_and_context_window.json)
+3. Fix Azure O1 mini pricing [PR](https://github.com/BerriAI/litellm/commit/52de1949ef2f76b8572df751f9c868a016d4832c)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+
+
+01. Support `/openai/` passthrough for Assistant endpoints. [Get Started](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+02. Bedrock Claude - fix tool calling transformation on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---function-calling--tool-calling)
+03. Bedrock Claude - response\_format support for claude on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+04. Bedrock - pass `description` if set in response\_format. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+05. Bedrock - Fix passing response\_format: {"type": "text"}. [PR](https://github.com/BerriAI/litellm/commit/c84b489d5897755139aa7d4e9e54727ebe0fa540)
+06. OpenAI - Handle sending image\_url as str to openai. [Get Started](https://docs.litellm.ai/docs/completion/vision)
+07. Deepseek - return 'reasoning\_content' missing on streaming. [Get Started](https://docs.litellm.ai/docs/reasoning_content)
+08. Caching - Support caching on reasoning content. [Get Started](https://docs.litellm.ai/docs/proxy/caching)
+09. Bedrock - handle thinking blocks in assistant message. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+10. Anthropic - Return `signature` on streaming. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+
+- Note: We've also migrated from `signature_delta` to `signature`. [Read more](https://docs.litellm.ai/release_notes/v1.63.0)
+
+11. Support format param for specifying image type. [Get Started](https://docs.litellm.ai/docs/completion/vision.md#explicitly-specify-image-type)
+12. Anthropic - `/v1/messages` endpoint - `thinking` param support. [Get Started](https://docs.litellm.ai/docs/anthropic_unified.md)
+
+- Note: this refactors the \[BETA\] unified `/v1/messages` endpoint, to just work for the Anthropic API.
+
+13. Vertex AI - handle $id in response schema when calling vertex ai. [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Batches API - Fix cost calculation to run on retrieve\_batch. [Get Started](https://docs.litellm.ai/docs/batches)
+2. Batches API - Log batch models in spend logs / standard logging payload. [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec.md#standardlogginghiddenparams)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+
+
+1. Virtual Keys Page
+ - Allow team/org filters to be searchable on the Create Key Page
+ - Add created\_by and updated\_by fields to Keys table
+ - Show 'user\_email' on key table
+ - Show 100 Keys Per Page, Use full height, increase width of key alias
+2. Logs Page
+ - Show Error Logs on LiteLLM UI
+ - Allow Internal Users to View their own logs
+3. Internal Users Page
+ - Allow admin to control default model access for internal users
+4. Fix session handling with cookies
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Fix prometheus metrics w/ custom metrics, when keys containing team\_id make requests. [PR](https://github.com/BerriAI/litellm/pull/8935)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Cooldowns - Support cooldowns on models called with client side credentials. [Get Started](https://docs.litellm.ai/docs/proxy/clientside_auth#pass-user-llm-api-keys--api-base)
+2. Tag-based Routing - ensures tag-based routing across all endpoints ( `/embeddings`, `/image_generation`, etc.). [Get Started](https://docs.litellm.ai/docs/proxy/tag_routing)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Raise BadRequestError when unknown model passed in request
+2. Enforce model access restrictions on Azure OpenAI proxy route
+3. Reliability fix - Handle emoji’s in text - fix orjson error
+4. Model Access Patch - don't overwrite litellm.anthropic\_models when running auth checks
+5. Enable setting timezone information in docker image
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.61.20-stable...v1.63.2-stable)
+
+v1.63.0 fixes Anthropic 'thinking' response on streaming to return the `signature` block. [Github Issue](https://github.com/BerriAI/litellm/issues/8964)
+
+It also moves the response structure from `signature_delta` to `signature` to be the same as Anthropic. [Anthropic Docs](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#implementing-extended-thinking)
+
+## Diff [](https://docs.litellm.ai/release_notes\#diff "Direct link to Diff")
+
+```codeBlockLines_e6Vv
+"message": {
+ ...
+ "reasoning_content": "The capital of France is Paris.",
+ "thinking_blocks": [\
+ {\
+ "type": "thinking",\
+ "thinking": "The capital of France is Paris.",\
+- "signature_delta": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 OLD FORMAT\
++ "signature": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 KEY CHANGE\
+ }\
+ ]
+}
+
+```
+
+These are the changes since `v1.61.13-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (claude-3-7-sonnet + 'thinking'/'reasoning\_content' support)
+- UI improvements (add model flow, user management, etc)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Anthropic 3-7 sonnet support + cost tracking (Anthropic API + Bedrock + Vertex AI + OpenRouter)
+1. Anthropic API [Start here](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+2. Bedrock API [Start here](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+3. Vertex AI API [See here](https://docs.litellm.ai/docs/providers/vertex#usage---thinking--reasoning_content)
+4. OpenRouter [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L5626)
+2. Gpt-4.5-preview support + cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L79)
+3. Azure AI - Phi-4 cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L1773)
+4. Claude-3.5-sonnet - vision support updated on Anthropic API [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2888)
+5. Bedrock llama vision support [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L7714)
+6. Cerebras llama3.3-70b pricing [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2697)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+1. Infinity Rerank - support returning documents when return\_documents=True [Start here](https://docs.litellm.ai/docs/providers/infinity#usage---returning-documents)
+2. Amazon Deepseek - `` param extraction into ‘reasoning\_content’ [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-imported-models-deepseek-deepseek-r1)
+3. Amazon Titan Embeddings - filter out ‘aws\_’ params from request body [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-embedding)
+4. Anthropic ‘thinking’ + ‘reasoning\_content’ translation support (Anthropic API, Bedrock, Vertex AI) [Start here](https://docs.litellm.ai/docs/reasoning_content)
+5. VLLM - support ‘video\_url’ [Start here](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm)
+6. Call proxy via litellm SDK: Support `litellm_proxy/` for embedding, image\_generation, transcription, speech, rerank [Start here](https://docs.litellm.ai/docs/providers/litellm_proxy)
+7. OpenAI Pass-through - allow using Assistants GET, DELETE on /openai pass through routes [Start here](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+8. Message Translation - fix openai message for assistant msg if role is missing - openai allows this
+9. O1/O3 - support ‘drop\_params’ for o3-mini and o1 parallel\_tool\_calls param (not supported currently) [See here](https://docs.litellm.ai/docs/completion/drop_params)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Cost tracking for rerank via Bedrock [See PR](https://github.com/BerriAI/litellm/commit/b682dc4ec8fd07acf2f4c981d2721e36ae2a49c5)
+2. Anthropic pass-through - fix race condition causing cost to not be tracked [See PR](https://github.com/BerriAI/litellm/pull/8874)
+3. Anthropic pass-through: Ensure accurate token counting [See PR](https://github.com/BerriAI/litellm/pull/8880)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. Models Page - Allow sorting models by ‘created at’
+02. Models Page - Edit Model Flow Improvements
+03. Models Page - Fix Adding Azure, Azure AI Studio models on UI
+04. Internal Users Page - Allow Bulk Adding Internal Users on UI
+05. Internal Users Page - Allow sorting users by ‘created at’
+06. Virtual Keys Page - Allow searching for UserIDs on the dropdown when assigning a user to a team [See PR](https://github.com/BerriAI/litellm/pull/8844)
+07. Virtual Keys Page - allow creating a user when assigning keys to users [See PR](https://github.com/BerriAI/litellm/pull/8844)
+08. Model Hub Page - fix text overflow issue [See PR](https://github.com/BerriAI/litellm/pull/8749)
+09. Admin Settings Page - Allow adding MSFT SSO on UI
+10. Backend - don't allow creating duplicate internal users in DB
+
+## Helm [](https://docs.litellm.ai/release_notes\#helm "Direct link to Helm")
+
+1. support ttlSecondsAfterFinished on the migration job - [See PR](https://github.com/BerriAI/litellm/pull/8593)
+2. enhance migrations job with additional configurable properties - [See PR](https://github.com/BerriAI/litellm/pull/8636)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Arize Phoenix support
+2. ‘No-log’ - fix ‘no-log’ param support on embedding calls
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Single Deployment Cooldown logic - Use allowed\_fails or allowed\_fail\_policy if set [Start here](https://docs.litellm.ai/docs/routing#advanced-custom-retries-cooldowns-based-on-error-type)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Hypercorn - fix reading / parsing request body
+2. Windows - fix running proxy in windows
+3. DD-Trace - fix dd-trace enablement on proxy
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+View the complete git diff [here](https://github.com/BerriAI/litellm/compare/v1.61.13-stable...v1.61.20-stable).
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. New OpenAI `/image/variations` endpoint BETA support [Docs](https://docs.litellm.ai/docs/image_variations)
+2. Topaz API support on OpenAI `/image/variations` BETA endpoint [Docs](https://docs.litellm.ai/docs/providers/topaz)
+3. Deepseek - r1 support w/ reasoning\_content ( [Deepseek API](https://docs.litellm.ai/docs/providers/deepseek#reasoning-models), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#model-garden), [Bedrock](https://docs.litellm.ai/docs/providers/bedrock#deepseek))
+4. Azure - Add azure o1 pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L952)
+5. Anthropic - handle `-latest` tag in model for cost calculation
+6. Gemini-2.0-flash-thinking - add model pricing (it’s 0.0) [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L3393)
+7. Bedrock - add stability sd3 model pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6814) (s/o [Marty Sullivan](https://github.com/marty-sullivan))
+8. Bedrock - add us.amazon.nova-lite-v1:0 to model cost map [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L5619)
+9. TogetherAI - add new together\_ai llama3.3 models [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6985)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes\#llm-translation "Direct link to LLM Translation")
+
+01. LM Studio -> fix async embedding call
+02. Gpt 4o models - fix response\_format translation
+03. Bedrock nova - expand supported document types to include .md, .csv, etc. [Start Here](https://docs.litellm.ai/docs/providers/bedrock#usage---pdf--document-understanding)
+04. Bedrock - docs on IAM role based access for bedrock - [Start Here](https://docs.litellm.ai/docs/providers/bedrock#sts-role-based-auth)
+05. Bedrock - cache IAM role credentials when used
+06. Google AI Studio ( `gemini/`) \- support gemini 'frequency\_penalty' and 'presence\_penalty'
+07. Azure O1 - fix model name check
+08. WatsonX - ZenAPIKey support for WatsonX [Docs](https://docs.litellm.ai/docs/providers/watsonx)
+09. Ollama Chat - support json schema response format [Start Here](https://docs.litellm.ai/docs/providers/ollama#json-schema-support)
+10. Bedrock - return correct bedrock status code and error message if error during streaming
+11. Anthropic - Supported nested json schema on anthropic calls
+12. OpenAI - `metadata` param preview support
+ 1. SDK - enable via `litellm.enable_preview_features = True`
+ 2. PROXY - enable via `litellm_settings::enable_preview_features: true`
+13. Replicate - retry completion response on status=processing
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Bedrock - QA asserts all bedrock regional models have same `supported_` as base model
+2. Bedrock - fix bedrock converse cost tracking w/ region name specified
+3. Spend Logs reliability fix - when `user` passed in request body is int instead of string
+4. Ensure ‘base\_model’ cost tracking works across all endpoints
+5. Fixes for Image generation cost tracking
+6. Anthropic - fix anthropic end user cost tracking
+7. JWT / OIDC Auth - add end user id tracking from jwt auth
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. allows team member to become admin post-add (ui + endpoints)
+02. New edit/delete button for updating team membership on UI
+03. If team admin - show all team keys
+04. Model Hub - clarify cost of models is per 1m tokens
+05. Invitation Links - fix invalid url generated
+06. New - SpendLogs Table Viewer - allows proxy admin to view spend logs on UI
+ 1. New spend logs - allow proxy admin to ‘opt in’ to logging request/response in spend logs table - enables easier abuse detection
+ 2. Show country of origin in spend logs
+ 3. Add pagination + filtering by key name/team name
+07. `/key/delete` \- allow team admin to delete team keys
+08. Internal User ‘view’ - fix spend calculation when team selected
+09. Model Analytics is now on Free
+10. Usage page - shows days when spend = 0, and round spend on charts to 2 sig figs
+11. Public Teams - allow admins to expose teams for new users to ‘join’ on UI - [Start Here](https://docs.litellm.ai/docs/proxy/public_teams)
+12. Guardrails
+ 1. set/edit guardrails on a virtual key
+ 2. Allow setting guardrails on a team
+ 3. Set guardrails on team create + edit page
+13. Support temporary budget increases on `/key/update` \- new `temp_budget_increase` and `temp_budget_expiry` fields - [Start Here](https://docs.litellm.ai/docs/proxy/virtual_keys#temporary-budget-increase)
+14. Support writing new key alias to AWS Secret Manager - on key rotation [Start Here](https://docs.litellm.ai/docs/secret#aws-secret-manager)
+
+## Helm [](https://docs.litellm.ai/release_notes\#helm "Direct link to Helm")
+
+1. add securityContext and pull policy values to migration job (s/o [https://github.com/Hexoplon](https://github.com/Hexoplon))
+2. allow specifying envVars on values.yaml
+3. new helm lint test
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Log the used prompt when prompt management used. [Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+2. Support s3 logging with team alias prefixes - [Start Here](https://docs.litellm.ai/docs/proxy/logging#team-alias-prefix-in-object-key)
+3. Prometheus [Start Here](https://docs.litellm.ai/docs/proxy/prometheus)
+1. fix litellm\_llm\_api\_time\_to\_first\_token\_metric not populating for bedrock models
+2. emit remaining team budget metric on regular basis (even when call isn’t made) - allows for more stable metrics on Grafana/etc.
+3. add key and team level budget metrics
+4. emit `litellm_overhead_latency_metric`
+5. Emit `litellm_team_budget_reset_at_metric` and `litellm_api_key_budget_remaining_hours_metric`
+4. Datadog - support logging spend tags to Datadog. [Start Here](https://docs.litellm.ai/docs/proxy/enterprise#tracking-spend-for-custom-tags)
+5. Langfuse - fix logging request tags, read from standard logging payload
+6. GCS - don’t truncate payload on logging
+7. New GCS Pub/Sub logging support [Start Here](https://docs.litellm.ai/docs/proxy/logging#google-cloud-storage---pubsub-topic)
+8. Add AIM Guardrails support [Start Here](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)
+
+## Security [](https://docs.litellm.ai/release_notes\#security "Direct link to Security")
+
+1. New Enterprise SLA for patching security vulnerabilities. [See Here](https://docs.litellm.ai/docs/enterprise#slas--professional-support)
+2. Hashicorp - support using vault namespace for TLS auth. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+3. Azure - DefaultAzureCredential support
+
+## Health Checks [](https://docs.litellm.ai/release_notes\#health-checks "Direct link to Health Checks")
+
+1. Cleanup pricing-only model names from wildcard route list - prevent bad health checks
+2. Allow specifying a health check model for wildcard routes - [https://docs.litellm.ai/docs/proxy/health#wildcard-routes](https://docs.litellm.ai/docs/proxy/health#wildcard-routes)
+3. New ‘health\_check\_timeout ‘ param with default 1min upperbound to prevent bad model from health check to hang and cause pod restarts. [Start Here](https://docs.litellm.ai/docs/proxy/health#health-check-timeout)
+4. Datadog - add data dog service health check + expose new `/health/services` endpoint. [Start Here](https://docs.litellm.ai/docs/proxy/health#healthservices)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+01. 3x increase in RPS - moving to orjson for reading request body
+02. LLM Routing speedup - using cached get model group info
+03. SDK speedup - using cached get model info helper - reduces CPU work to get model info
+04. Proxy speedup - only read request body 1 time per request
+05. Infinite loop detection scripts added to codebase
+06. Bedrock - pure async image transformation requests
+07. Cooldowns - single deployment model group if 100% calls fail in high traffic - prevents an o1 outage from impacting other calls
+08. Response Headers - return
+ 1. `x-litellm-timeout`
+ 2. `x-litellm-attempted-retries`
+ 3. `x-litellm-overhead-duration-ms`
+ 4. `x-litellm-response-duration-ms`
+09. ensure duplicate callbacks are not added to proxy
+10. Requirements.txt - bump certifi version
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. JWT / OIDC Auth - new `enforce_rbac` param,allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy. [Start Here](https://docs.litellm.ai/docs/proxy/token_auth#enforce-role-based-access-control-rbac)
+2. fix custom openapi schema generation for customized swagger’s
+3. Request Headers - support reading `x-litellm-timeout` param from request headers. Enables model timeout control when using Vercel’s AI SDK + LiteLLM Proxy. [Start Here](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers)
+4. JWT / OIDC Auth - new `role` based permissions for model authentication. [See Here](https://docs.litellm.ai/docs/proxy/jwt_auth_arch)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes\#complete-git-diff "Direct link to Complete Git Diff")
+
+This is the diff between v1.57.8-stable and v1.59.8-stable.
+
+Use this to see the changes in the codebase.
+
+[**Git Diff**](https://github.com/BerriAI/litellm/compare/v1.57.8-stable...v1.59.8-stable)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## UI Improvements [](https://docs.litellm.ai/release_notes\#ui-improvements "Direct link to UI Improvements")
+
+### \[Opt In\] Admin UI - view messages / responses [](https://docs.litellm.ai/release_notes\#opt-in-admin-ui---view-messages--responses "Direct link to opt-in-admin-ui---view-messages--responses")
+
+You can now view messages and response logs on Admin UI.
+
+
+
+How to enable it - add `store_prompts_in_spend_logs: true` to your `proxy_config.yaml`
+
+Once this flag is enabled, your `messages` and `responses` will be stored in the `LiteLLM_Spend_Logs` table.
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+## DB Schema Change [](https://docs.litellm.ai/release_notes\#db-schema-change "Direct link to DB Schema Change")
+
+Added `messages` and `responses` to the `LiteLLM_Spend_Logs` table.
+
+**By default this is not logged.** If you want `messages` and `responses` to be logged, you need to opt in with this setting
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+`langfuse`, `management endpoints`, `ui`, `prometheus`, `secret management`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+Langfuse Prompt Management is being labelled as BETA. This allows us to iterate quickly on the feedback we're receiving, and making the status clearer to users. We expect to make this feature to be stable by next month (February 2025).
+
+Changes:
+
+- Include the client message in the LLM API Request. (Previously only the prompt template was sent, and the client message was ignored).
+- Log the prompt template in the logged request (e.g. to s3/langfuse).
+- Log the 'prompt\_id' and 'prompt\_variables' in the logged request (e.g. to s3/langfuse).
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Team/Organization Management + UI Improvements [](https://docs.litellm.ai/release_notes\#teamorganization-management--ui-improvements "Direct link to Team/Organization Management + UI Improvements")
+
+Managing teams and organizations on the UI is now easier.
+
+Changes:
+
+- Support for editing user role within team on UI.
+- Support updating team member role to admin via api - `/team/member_update`
+- Show team admins all keys for their team.
+- Add organizations with budgets
+- Assign teams to orgs on the UI
+- Auto-assign SSO users to teams
+
+[Start Here](https://docs.litellm.ai/docs/proxy/self_serve)
+
+## Hashicorp Vault Support [](https://docs.litellm.ai/release_notes\#hashicorp-vault-support "Direct link to Hashicorp Vault Support")
+
+We now support writing LiteLLM Virtual API keys to Hashicorp Vault.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/vault)
+
+## Custom Prometheus Metrics [](https://docs.litellm.ai/release_notes\#custom-prometheus-metrics "Direct link to Custom Prometheus Metrics")
+
+Define custom prometheus metrics, and track usage/latency/no. of requests against them
+
+This allows for more fine-grained tracking - e.g. on prompt template passed in request metadata
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+`docker image`, `security`, `vulnerability`
+
+# 0 Critical/High Vulnerabilities
+
+
+
+## What changed? [](https://docs.litellm.ai/release_notes\#what-changed "Direct link to What changed?")
+
+- LiteLLMBase image now uses `cgr.dev/chainguard/python:latest-dev`
+
+## Why the change? [](https://docs.litellm.ai/release_notes\#why-the-change "Direct link to Why the change?")
+
+To ensure there are 0 critical/high vulnerabilities on LiteLLM Docker Image
+
+## Migration Guide [](https://docs.litellm.ai/release_notes\#migration-guide "Direct link to Migration Guide")
+
+- If you use a custom dockerfile with litellm as a base image + `apt-get`
+
+Instead of `apt-get` use `apk`, the base litellm image will no longer have `apt-get` installed.
+
+**You are only impacted if you use `apt-get` in your Dockerfile**
+
+```codeBlockLines_e6Vv
+# Use the provided base image
+FROM ghcr.io/berriai/litellm:main-latest
+
+# Set the working directory
+WORKDIR /app
+
+# Install dependencies - CHANGE THIS to `apk`
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+Before Change
+
+```codeBlockLines_e6Vv
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+After Change
+
+```codeBlockLines_e6Vv
+RUN apk update && apk add --no-cache dumb-init
+
+```
+
+`deepgram`, `fireworks ai`, `vision`, `admin ui`, `dependency upgrades`
+
+## New Models [](https://docs.litellm.ai/release_notes\#new-models "Direct link to New Models")
+
+### **Deepgram Speech to Text** [](https://docs.litellm.ai/release_notes\#deepgram-speech-to-text "Direct link to deepgram-speech-to-text")
+
+New Speech to Text support for Deepgram models. [**Start Here**](https://docs.litellm.ai/docs/providers/deepgram)
+
+```codeBlockLines_e6Vv
+from litellm import transcription
+import os
+
+# set api keys
+os.environ["DEEPGRAM_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="deepgram/nova-2", file=audio_file)
+
+print(f"response: {response}")
+
+```
+
+### **Fireworks AI - Vision** support for all models [](https://docs.litellm.ai/release_notes\#fireworks-ai---vision-support-for-all-models "Direct link to fireworks-ai---vision-support-for-all-models")
+
+LiteLLM supports document inlining for Fireworks AI models. This is useful for models that are not vision models, but still need to parse documents/images/etc.
+LiteLLM will add `#transform=inline` to the url of the image\_url, if the model is not a vision model [See Code](https://github.com/BerriAI/litellm/blob/1ae9d45798bdaf8450f2dfdec703369f3d2212b7/litellm/llms/fireworks_ai/chat/transformation.py#L114)
+
+## Proxy Admin UI [](https://docs.litellm.ai/release_notes\#proxy-admin-ui "Direct link to Proxy Admin UI")
+
+- `Test Key` Tab displays `model` used in response
+
+
+
+- `Test Key` Tab renders content in `.md`, `.py` (any code/markdown format)
+
+
+
+## Dependency Upgrades [](https://docs.litellm.ai/release_notes\#dependency-upgrades "Direct link to Dependency Upgrades")
+
+- (Security fix) Upgrade to `fastapi==0.115.5` [https://github.com/BerriAI/litellm/pull/7447](https://github.com/BerriAI/litellm/pull/7447)
+
+## Bug Fixes [](https://docs.litellm.ai/release_notes\#bug-fixes "Direct link to Bug Fixes")
+
+- Add health check support for realtime models [Here](https://docs.litellm.ai/docs/proxy/health#realtime-models)
+- Health check error with audio\_transcription model [https://github.com/BerriAI/litellm/issues/5999](https://github.com/BerriAI/litellm/issues/5999)
+
+`guardrails`, `logging`, `virtual key management`, `new models`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Features [](https://docs.litellm.ai/release_notes\#new-features "Direct link to New Features")
+
+### ✨ Log Guardrail Traces [](https://docs.litellm.ai/release_notes\#-log-guardrail-traces "Direct link to ✨ Log Guardrail Traces")
+
+Track guardrail failure rate and if a guardrail is going rogue and failing requests. [Start here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+#### Traced Guardrail Success [](https://docs.litellm.ai/release_notes\#traced-guardrail-success "Direct link to Traced Guardrail Success")
+
+#### Traced Guardrail Failure [](https://docs.litellm.ai/release_notes\#traced-guardrail-failure "Direct link to Traced Guardrail Failure")
+
+### `/guardrails/list` [](https://docs.litellm.ai/release_notes\#guardrailslist "Direct link to guardrailslist")
+
+`/guardrails/list` allows clients to view available guardrails + supported guardrail params
+
+```codeBlockLines_e6Vv
+curl -X GET 'http://0.0.0.0:4000/guardrails/list'
+
+```
+
+Expected response
+
+```codeBlockLines_e6Vv
+{
+ "guardrails": [\
+ {\
+ "guardrail_name": "aporia-post-guard",\
+ "guardrail_info": {\
+ "params": [\
+ {\
+ "name": "toxicity_score",\
+ "type": "float",\
+ "description": "Score between 0-1 indicating content toxicity level"\
+ },\
+ {\
+ "name": "pii_detection",\
+ "type": "boolean"\
+ }\
+ ]\
+ }\
+ }\
+ ]
+}
+
+```
+
+### ✨ Guardrails with Mock LLM [](https://docs.litellm.ai/release_notes\#-guardrails-with-mock-llm "Direct link to ✨ Guardrails with Mock LLM")
+
+Send `mock_response` to test guardrails without making an LLM call. More info on `mock_response` [here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+```codeBlockLines_e6Vv
+curl -i http://localhost:4000/v1/chat/completions \
+ -H "Content-Type: application/json" \
+ -H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
+ -d '{
+ "model": "gpt-3.5-turbo",
+ "messages": [\
+ {"role": "user", "content": "hi my email is ishaan@berri.ai"}\
+ ],
+ "mock_response": "This is a mock response",
+ "guardrails": ["aporia-pre-guard", "aporia-post-guard"]
+ }'
+
+```
+
+### Assign Keys to Users [](https://docs.litellm.ai/release_notes\#assign-keys-to-users "Direct link to Assign Keys to Users")
+
+You can now assign keys to users via Proxy UI
+
+## New Models [](https://docs.litellm.ai/release_notes\#new-models "Direct link to New Models")
+
+- `openrouter/openai/o1`
+- `vertex_ai/mistral-large@2411`
+
+## Fixes [](https://docs.litellm.ai/release_notes\#fixes "Direct link to Fixes")
+
+- Fix `vertex_ai/` mistral model pricing: [https://github.com/BerriAI/litellm/pull/7345](https://github.com/BerriAI/litellm/pull/7345)
+- Missing model\_group field in logs for aspeech call types [https://github.com/BerriAI/litellm/pull/7392](https://github.com/BerriAI/litellm/pull/7392)
+
+`key management`, `budgets/rate limits`, `logging`, `guardrails`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## ✨ Budget / Rate Limit Tiers [](https://docs.litellm.ai/release_notes\#-budget--rate-limit-tiers "Direct link to ✨ Budget / Rate Limit Tiers")
+
+Define tiers with rate limits. Assign them to keys.
+
+Use this to control access and budgets across a lot of keys.
+
+**[Start here](https://docs.litellm.ai/docs/proxy/rate_limit_tiers)**
+
+```codeBlockLines_e6Vv
+curl -L -X POST 'http://0.0.0.0:4000/budget/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+ "budget_id": "high-usage-tier",
+ "model_max_budget": {
+ "gpt-4o": {"rpm_limit": 1000000}
+ }
+}'
+
+```
+
+## OTEL Bug Fix [](https://docs.litellm.ai/release_notes\#otel-bug-fix "Direct link to OTEL Bug Fix")
+
+LiteLLM was double logging litellm\_request span. This is now fixed.
+
+[Relevant PR](https://github.com/BerriAI/litellm/pull/7435)
+
+## Logging for Finetuning Endpoints [](https://docs.litellm.ai/release_notes\#logging-for-finetuning-endpoints "Direct link to Logging for Finetuning Endpoints")
+
+Logs for finetuning requests are now available on all logging providers (e.g. Datadog).
+
+What's logged per request:
+
+- file\_id
+- finetuning\_job\_id
+- any key/team metadata
+
+**Start Here:**
+
+- [Setup Finetuning](https://docs.litellm.ai/docs/fine_tuning)
+- [Setup Logging](https://docs.litellm.ai/docs/proxy/logging#datadog)
+
+## Dynamic Params for Guardrails [](https://docs.litellm.ai/release_notes\#dynamic-params-for-guardrails "Direct link to Dynamic Params for Guardrails")
+
+You can now set custom parameters (like success threshold) for your guardrails in each request.
+
+[See guardrails spec for more details](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#-pass-additional-parameters-to-guardrail)
+
+`batches`, `guardrails`, `team management`, `custom auth`
+
+info
+
+Get a free 7-day LiteLLM Enterprise trial here. [Start here](https://www.litellm.ai/#trial)
+
+**No call needed**
+
+## ✨ Cost Tracking, Logging for Batches API ( `/batches`) [](https://docs.litellm.ai/release_notes\#-cost-tracking-logging-for-batches-api-batches "Direct link to -cost-tracking-logging-for-batches-api-batches")
+
+Track cost, usage for Batch Creation Jobs. [Start here](https://docs.litellm.ai/docs/batches)
+
+## ✨ `/guardrails/list` endpoint [](https://docs.litellm.ai/release_notes\#-guardrailslist-endpoint "Direct link to -guardrailslist-endpoint")
+
+Show available guardrails to users. [Start here](https://litellm-api.up.railway.app/#/Guardrails)
+
+## ✨ Allow teams to add models [](https://docs.litellm.ai/release_notes\#-allow-teams-to-add-models "Direct link to ✨ Allow teams to add models")
+
+This enables team admins to call their own finetuned models via litellm proxy. [Start here](https://docs.litellm.ai/docs/proxy/team_model_add)
+
+## ✨ Common checks for custom auth [](https://docs.litellm.ai/release_notes\#-common-checks-for-custom-auth "Direct link to ✨ Common checks for custom auth")
+
+Calling the internal common\_checks function in custom auth is now enforced as an enterprise feature. This allows admins to use litellm's default budget/auth checks within their custom auth implementation. [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
+
+## ✨ Assigning team admins [](https://docs.litellm.ai/release_notes\#-assigning-team-admins "Direct link to ✨ Assigning team admins")
+
+Team admins is graduating from beta and moving to our enterprise tier. This allows proxy admins to allow others to manage keys/models for their own teams (useful for projects in production). [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#restricting-key-generation)
+
+A new LiteLLM Stable release [just went out](https://github.com/BerriAI/litellm/releases/tag/v1.55.8-stable). Here are 5 updates since v1.52.2-stable.
+
+`langfuse`, `fallbacks`, `new models`, `azure_storage`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+This makes it easy to run experiments or change the specific models `gpt-4o` to `gpt-4o-mini` on Langfuse, instead of making changes in your applications. [Start here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Control fallback prompts client-side [](https://docs.litellm.ai/release_notes\#control-fallback-prompts-client-side "Direct link to Control fallback prompts client-side")
+
+> Claude prompts are different than OpenAI
+
+Pass in prompts specific to model when doing fallbacks. [Start here](https://docs.litellm.ai/docs/proxy/reliability#control-fallback-prompts)
+
+## New Providers / Models [](https://docs.litellm.ai/release_notes\#new-providers--models "Direct link to New Providers / Models")
+
+- [NVIDIA Triton](https://developer.nvidia.com/triton-inference-server) `/infer` endpoint. [Start here](https://docs.litellm.ai/docs/providers/triton-inference-server)
+- [Infinity](https://github.com/michaelfeil/infinity) Rerank Models [Start here](https://docs.litellm.ai/docs/providers/infinity)
+
+## ✨ Azure Data Lake Storage Support [](https://docs.litellm.ai/release_notes\#-azure-data-lake-storage-support "Direct link to ✨ Azure Data Lake Storage Support")
+
+Send LLM usage (spend, tokens) data to [Azure Data Lake](https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). This makes it easy to consume usage data on other services (eg. Databricks)
+[Start here](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage)
+
+## Docker Run LiteLLM [](https://docs.litellm.ai/release_notes\#docker-run-litellm "Direct link to Docker Run LiteLLM")
+
+```codeBlockLines_e6Vv
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.55.8-stable
+
+```
+
+## Get Daily Updates [](https://docs.litellm.ai/release_notes\#get-daily-updates "Direct link to Get Daily Updates")
+
+LiteLLM ships new releases every day. [Follow us on LinkedIn](https://www.linkedin.com/company/berri-ai/) to get daily updates.
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/archive#__docusaurus_skipToContent_fallback)
+
+### 2024
+
+- [December 29, 2024 \- v1.56.4](https://docs.litellm.ai/release_notes/v1.56.4)
+- [December 28, 2024 \- v1.56.3](https://docs.litellm.ai/release_notes/v1.56.3)
+- [December 27, 2024 \- v1.56.1](https://docs.litellm.ai/release_notes/v1.56.1)
+- [December 24, 2024 \- v1.55.10](https://docs.litellm.ai/release_notes/v1.55.10)
+- [December 22, 2024 \- v1.55.8-stable](https://docs.litellm.ai/release_notes/v1.55.8-stable)
+
+### 2025
+
+- [May 17, 2025 \- v1.70.1-stable - Gemini Realtime API Support](https://docs.litellm.ai/release_notes/v1.70.1-stable)
+- [May 10, 2025 \- v1.69.0-stable - Loadbalance Batch API Models](https://docs.litellm.ai/release_notes/v1.69.0-stable)
+- [May 3, 2025 \- v1.68.0-stable](https://docs.litellm.ai/release_notes/v1.68.0-stable)
+- [April 26, 2025 \- v1.67.4-stable - Improved User Management](https://docs.litellm.ai/release_notes/v1.67.4-stable)
+- [April 19, 2025 \- v1.67.0-stable - SCIM Integration](https://docs.litellm.ai/release_notes/v1.67.0-stable)
+- [April 12, 2025 \- v1.66.0-stable - Realtime API Cost Tracking](https://docs.litellm.ai/release_notes/v1.66.0-stable)
+- [April 5, 2025 \- v1.65.4-stable](https://docs.litellm.ai/release_notes/v1.65.4-stable)
+- [March 30, 2025 \- v1.65.0-stable - Model Context Protocol](https://docs.litellm.ai/release_notes/v1.65.0-stable)
+- [March 28, 2025 \- v1.65.0 - Team Model Add - update](https://docs.litellm.ai/release_notes/v1.65.0)
+- [March 22, 2025 \- v1.63.14-stable](https://docs.litellm.ai/release_notes/v1.63.14-stable)
+- [March 15, 2025 \- v1.63.11-stable](https://docs.litellm.ai/release_notes/v1.63.11-stable)
+- [March 8, 2025 \- v1.63.2-stable](https://docs.litellm.ai/release_notes/v1.63.2-stable)
+- [March 5, 2025 \- v1.63.0 - Anthropic 'thinking' response update](https://docs.litellm.ai/release_notes/v1.63.0)
+- [March 1, 2025 \- v1.61.20-stable](https://docs.litellm.ai/release_notes/v1.61.20-stable)
+- [January 31, 2025 \- v1.59.8-stable](https://docs.litellm.ai/release_notes/v1.59.8-stable)
+- [January 17, 2025 \- v1.59.0](https://docs.litellm.ai/release_notes/v1.59.0)
+- [January 11, 2025 \- v1.57.8-stable](https://docs.litellm.ai/release_notes/v1.57.8-stable)
+- [January 10, 2025 \- v1.57.7](https://docs.litellm.ai/release_notes/v1.57.7)
+- [January 8, 2025 \- v1.57.3 - New Base Docker Image](https://docs.litellm.ai/release_notes/v1.57.3)
+
+## LiteLLM Release Tags
+[Skip to main content](https://docs.litellm.ai/release_notes/tags#__docusaurus_skipToContent_fallback)
+
+# Tags
+
+## A
+
+- [admin ui3](https://docs.litellm.ai/release_notes/tags/admin-ui)
+- [alerting1](https://docs.litellm.ai/release_notes/tags/alerting)
+- [azure\_storage1](https://docs.litellm.ai/release_notes/tags/azure-storage)
+
+* * *
+
+## B
+
+- [batch1](https://docs.litellm.ai/release_notes/tags/batch)
+- [batches1](https://docs.litellm.ai/release_notes/tags/batches)
+- [budgets/rate limits1](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits)
+
+* * *
+
+## C
+
+- [claude-3-7-sonnet3](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet)
+- [cost\_tracking2](https://docs.litellm.ai/release_notes/tags/cost-tracking)
+- [credential management2](https://docs.litellm.ai/release_notes/tags/credential-management)
+- [custom auth1](https://docs.litellm.ai/release_notes/tags/custom-auth)
+- [custom\_prompt\_management1](https://docs.litellm.ai/release_notes/tags/custom-prompt-management)
+
+* * *
+
+## D
+
+- [db schema2](https://docs.litellm.ai/release_notes/tags/db-schema)
+- [deepgram1](https://docs.litellm.ai/release_notes/tags/deepgram)
+- [dependency upgrades1](https://docs.litellm.ai/release_notes/tags/dependency-upgrades)
+- [docker image1](https://docs.litellm.ai/release_notes/tags/docker-image)
+
+* * *
+
+## F
+
+- [fallbacks1](https://docs.litellm.ai/release_notes/tags/fallbacks)
+- [finetuning1](https://docs.litellm.ai/release_notes/tags/finetuning)
+- [fireworks ai1](https://docs.litellm.ai/release_notes/tags/fireworks-ai)
+
+* * *
+
+## G
+
+- [guardrails3](https://docs.litellm.ai/release_notes/tags/guardrails)
+
+* * *
+
+## H
+
+- [humanloop1](https://docs.litellm.ai/release_notes/tags/humanloop)
+
+* * *
+
+## K
+
+- [key management1](https://docs.litellm.ai/release_notes/tags/key-management)
+
+* * *
+
+## L
+
+- [langfuse3](https://docs.litellm.ai/release_notes/tags/langfuse)
+- [llm translation3](https://docs.litellm.ai/release_notes/tags/llm-translation)
+- [logging4](https://docs.litellm.ai/release_notes/tags/logging)
+
+* * *
+
+## M
+
+- [management endpoints3](https://docs.litellm.ai/release_notes/tags/management-endpoints)
+- [mcp1](https://docs.litellm.ai/release_notes/tags/mcp)
+
+* * *
+
+## N
+
+- [new models2](https://docs.litellm.ai/release_notes/tags/new-models)
+
+* * *
+
+## P
+
+- [prometheus2](https://docs.litellm.ai/release_notes/tags/prometheus)
+- [prompt management1](https://docs.litellm.ai/release_notes/tags/prompt-management)
+
+* * *
+
+## R
+
+- [reasoning\_content3](https://docs.litellm.ai/release_notes/tags/reasoning-content)
+- [rerank1](https://docs.litellm.ai/release_notes/tags/rerank)
+- [responses\_api3](https://docs.litellm.ai/release_notes/tags/responses-api)
+
+* * *
+
+## S
+
+- [secret management2](https://docs.litellm.ai/release_notes/tags/secret-management)
+- [security4](https://docs.litellm.ai/release_notes/tags/security)
+- [session\_management1](https://docs.litellm.ai/release_notes/tags/session-management)
+- [snowflake2](https://docs.litellm.ai/release_notes/tags/snowflake)
+- [sso2](https://docs.litellm.ai/release_notes/tags/sso)
+
+* * *
+
+## T
+
+- [team management1](https://docs.litellm.ai/release_notes/tags/team-management)
+- [team models1](https://docs.litellm.ai/release_notes/tags/team-models)
+- [thinking3](https://docs.litellm.ai/release_notes/tags/thinking)
+- [thinking content2](https://docs.litellm.ai/release_notes/tags/thinking-content)
+
+* * *
+
+## U
+
+- [ui4](https://docs.litellm.ai/release_notes/tags/ui)
+- [ui\_improvements1](https://docs.litellm.ai/release_notes/tags/ui-improvements)
+- [unified\_file\_id2](https://docs.litellm.ai/release_notes/tags/unified-file-id)
+
+* * *
+
+## V
+
+- [virtual key management1](https://docs.litellm.ai/release_notes/tags/virtual-key-management)
+- [vision1](https://docs.litellm.ai/release_notes/tags/vision)
+- [vulnerability1](https://docs.litellm.ai/release_notes/tags/vulnerability)
+
+* * *
+
+## LiteLLM Admin UI Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/admin-ui#__docusaurus_skipToContent_fallback)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/admin-ui\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. New OpenAI `/image/variations` endpoint BETA support [Docs](https://docs.litellm.ai/docs/image_variations)
+2. Topaz API support on OpenAI `/image/variations` BETA endpoint [Docs](https://docs.litellm.ai/docs/providers/topaz)
+3. Deepseek - r1 support w/ reasoning\_content ( [Deepseek API](https://docs.litellm.ai/docs/providers/deepseek#reasoning-models), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#model-garden), [Bedrock](https://docs.litellm.ai/docs/providers/bedrock#deepseek))
+4. Azure - Add azure o1 pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L952)
+5. Anthropic - handle `-latest` tag in model for cost calculation
+6. Gemini-2.0-flash-thinking - add model pricing (it’s 0.0) [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L3393)
+7. Bedrock - add stability sd3 model pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6814) (s/o [Marty Sullivan](https://github.com/marty-sullivan))
+8. Bedrock - add us.amazon.nova-lite-v1:0 to model cost map [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L5619)
+9. TogetherAI - add new together\_ai llama3.3 models [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6985)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/admin-ui\#llm-translation "Direct link to LLM Translation")
+
+01. LM Studio -> fix async embedding call
+02. Gpt 4o models - fix response\_format translation
+03. Bedrock nova - expand supported document types to include .md, .csv, etc. [Start Here](https://docs.litellm.ai/docs/providers/bedrock#usage---pdf--document-understanding)
+04. Bedrock - docs on IAM role based access for bedrock - [Start Here](https://docs.litellm.ai/docs/providers/bedrock#sts-role-based-auth)
+05. Bedrock - cache IAM role credentials when used
+06. Google AI Studio ( `gemini/`) \- support gemini 'frequency\_penalty' and 'presence\_penalty'
+07. Azure O1 - fix model name check
+08. WatsonX - ZenAPIKey support for WatsonX [Docs](https://docs.litellm.ai/docs/providers/watsonx)
+09. Ollama Chat - support json schema response format [Start Here](https://docs.litellm.ai/docs/providers/ollama#json-schema-support)
+10. Bedrock - return correct bedrock status code and error message if error during streaming
+11. Anthropic - Supported nested json schema on anthropic calls
+12. OpenAI - `metadata` param preview support
+ 1. SDK - enable via `litellm.enable_preview_features = True`
+ 2. PROXY - enable via `litellm_settings::enable_preview_features: true`
+13. Replicate - retry completion response on status=processing
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/admin-ui\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Bedrock - QA asserts all bedrock regional models have same `supported_` as base model
+2. Bedrock - fix bedrock converse cost tracking w/ region name specified
+3. Spend Logs reliability fix - when `user` passed in request body is int instead of string
+4. Ensure ‘base\_model’ cost tracking works across all endpoints
+5. Fixes for Image generation cost tracking
+6. Anthropic - fix anthropic end user cost tracking
+7. JWT / OIDC Auth - add end user id tracking from jwt auth
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/admin-ui\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. allows team member to become admin post-add (ui + endpoints)
+02. New edit/delete button for updating team membership on UI
+03. If team admin - show all team keys
+04. Model Hub - clarify cost of models is per 1m tokens
+05. Invitation Links - fix invalid url generated
+06. New - SpendLogs Table Viewer - allows proxy admin to view spend logs on UI
+ 1. New spend logs - allow proxy admin to ‘opt in’ to logging request/response in spend logs table - enables easier abuse detection
+ 2. Show country of origin in spend logs
+ 3. Add pagination + filtering by key name/team name
+07. `/key/delete` \- allow team admin to delete team keys
+08. Internal User ‘view’ - fix spend calculation when team selected
+09. Model Analytics is now on Free
+10. Usage page - shows days when spend = 0, and round spend on charts to 2 sig figs
+11. Public Teams - allow admins to expose teams for new users to ‘join’ on UI - [Start Here](https://docs.litellm.ai/docs/proxy/public_teams)
+12. Guardrails
+ 1. set/edit guardrails on a virtual key
+ 2. Allow setting guardrails on a team
+ 3. Set guardrails on team create + edit page
+13. Support temporary budget increases on `/key/update` \- new `temp_budget_increase` and `temp_budget_expiry` fields - [Start Here](https://docs.litellm.ai/docs/proxy/virtual_keys#temporary-budget-increase)
+14. Support writing new key alias to AWS Secret Manager - on key rotation [Start Here](https://docs.litellm.ai/docs/secret#aws-secret-manager)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/admin-ui\#helm "Direct link to Helm")
+
+1. add securityContext and pull policy values to migration job (s/o [https://github.com/Hexoplon](https://github.com/Hexoplon))
+2. allow specifying envVars on values.yaml
+3. new helm lint test
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/admin-ui\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Log the used prompt when prompt management used. [Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+2. Support s3 logging with team alias prefixes - [Start Here](https://docs.litellm.ai/docs/proxy/logging#team-alias-prefix-in-object-key)
+3. Prometheus [Start Here](https://docs.litellm.ai/docs/proxy/prometheus)
+1. fix litellm\_llm\_api\_time\_to\_first\_token\_metric not populating for bedrock models
+2. emit remaining team budget metric on regular basis (even when call isn’t made) - allows for more stable metrics on Grafana/etc.
+3. add key and team level budget metrics
+4. emit `litellm_overhead_latency_metric`
+5. Emit `litellm_team_budget_reset_at_metric` and `litellm_api_key_budget_remaining_hours_metric`
+4. Datadog - support logging spend tags to Datadog. [Start Here](https://docs.litellm.ai/docs/proxy/enterprise#tracking-spend-for-custom-tags)
+5. Langfuse - fix logging request tags, read from standard logging payload
+6. GCS - don’t truncate payload on logging
+7. New GCS Pub/Sub logging support [Start Here](https://docs.litellm.ai/docs/proxy/logging#google-cloud-storage---pubsub-topic)
+8. Add AIM Guardrails support [Start Here](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/admin-ui\#security "Direct link to Security")
+
+1. New Enterprise SLA for patching security vulnerabilities. [See Here](https://docs.litellm.ai/docs/enterprise#slas--professional-support)
+2. Hashicorp - support using vault namespace for TLS auth. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+3. Azure - DefaultAzureCredential support
+
+## Health Checks [](https://docs.litellm.ai/release_notes/tags/admin-ui\#health-checks "Direct link to Health Checks")
+
+1. Cleanup pricing-only model names from wildcard route list - prevent bad health checks
+2. Allow specifying a health check model for wildcard routes - [https://docs.litellm.ai/docs/proxy/health#wildcard-routes](https://docs.litellm.ai/docs/proxy/health#wildcard-routes)
+3. New ‘health\_check\_timeout ‘ param with default 1min upperbound to prevent bad model from health check to hang and cause pod restarts. [Start Here](https://docs.litellm.ai/docs/proxy/health#health-check-timeout)
+4. Datadog - add data dog service health check + expose new `/health/services` endpoint. [Start Here](https://docs.litellm.ai/docs/proxy/health#healthservices)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/admin-ui\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+01. 3x increase in RPS - moving to orjson for reading request body
+02. LLM Routing speedup - using cached get model group info
+03. SDK speedup - using cached get model info helper - reduces CPU work to get model info
+04. Proxy speedup - only read request body 1 time per request
+05. Infinite loop detection scripts added to codebase
+06. Bedrock - pure async image transformation requests
+07. Cooldowns - single deployment model group if 100% calls fail in high traffic - prevents an o1 outage from impacting other calls
+08. Response Headers - return
+ 1. `x-litellm-timeout`
+ 2. `x-litellm-attempted-retries`
+ 3. `x-litellm-overhead-duration-ms`
+ 4. `x-litellm-response-duration-ms`
+09. ensure duplicate callbacks are not added to proxy
+10. Requirements.txt - bump certifi version
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/admin-ui\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. JWT / OIDC Auth - new `enforce_rbac` param,allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy. [Start Here](https://docs.litellm.ai/docs/proxy/token_auth#enforce-role-based-access-control-rbac)
+2. fix custom openapi schema generation for customized swagger’s
+3. Request Headers - support reading `x-litellm-timeout` param from request headers. Enables model timeout control when using Vercel’s AI SDK + LiteLLM Proxy. [Start Here](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers)
+4. JWT / OIDC Auth - new `role` based permissions for model authentication. [See Here](https://docs.litellm.ai/docs/proxy/jwt_auth_arch)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/admin-ui\#complete-git-diff "Direct link to Complete Git Diff")
+
+This is the diff between v1.57.8-stable and v1.59.8-stable.
+
+Use this to see the changes in the codebase.
+
+[**Git Diff**](https://github.com/BerriAI/litellm/compare/v1.57.8-stable...v1.59.8-stable)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## UI Improvements [](https://docs.litellm.ai/release_notes/tags/admin-ui\#ui-improvements "Direct link to UI Improvements")
+
+### \[Opt In\] Admin UI - view messages / responses [](https://docs.litellm.ai/release_notes/tags/admin-ui\#opt-in-admin-ui---view-messages--responses "Direct link to opt-in-admin-ui---view-messages--responses")
+
+You can now view messages and response logs on Admin UI.
+
+
+
+How to enable it - add `store_prompts_in_spend_logs: true` to your `proxy_config.yaml`
+
+Once this flag is enabled, your `messages` and `responses` will be stored in the `LiteLLM_Spend_Logs` table.
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+## DB Schema Change [](https://docs.litellm.ai/release_notes/tags/admin-ui\#db-schema-change "Direct link to DB Schema Change")
+
+Added `messages` and `responses` to the `LiteLLM_Spend_Logs` table.
+
+**By default this is not logged.** If you want `messages` and `responses` to be logged, you need to opt in with this setting
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+`deepgram`, `fireworks ai`, `vision`, `admin ui`, `dependency upgrades`
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/admin-ui\#new-models "Direct link to New Models")
+
+### **Deepgram Speech to Text** [](https://docs.litellm.ai/release_notes/tags/admin-ui\#deepgram-speech-to-text "Direct link to deepgram-speech-to-text")
+
+New Speech to Text support for Deepgram models. [**Start Here**](https://docs.litellm.ai/docs/providers/deepgram)
+
+```codeBlockLines_e6Vv
+from litellm import transcription
+import os
+
+# set api keys
+os.environ["DEEPGRAM_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="deepgram/nova-2", file=audio_file)
+
+print(f"response: {response}")
+
+```
+
+### **Fireworks AI - Vision** support for all models [](https://docs.litellm.ai/release_notes/tags/admin-ui\#fireworks-ai---vision-support-for-all-models "Direct link to fireworks-ai---vision-support-for-all-models")
+
+LiteLLM supports document inlining for Fireworks AI models. This is useful for models that are not vision models, but still need to parse documents/images/etc.
+LiteLLM will add `#transform=inline` to the url of the image\_url, if the model is not a vision model [See Code](https://github.com/BerriAI/litellm/blob/1ae9d45798bdaf8450f2dfdec703369f3d2212b7/litellm/llms/fireworks_ai/chat/transformation.py#L114)
+
+## Proxy Admin UI [](https://docs.litellm.ai/release_notes/tags/admin-ui\#proxy-admin-ui "Direct link to Proxy Admin UI")
+
+- `Test Key` Tab displays `model` used in response
+
+
+
+- `Test Key` Tab renders content in `.md`, `.py` (any code/markdown format)
+
+
+
+## Dependency Upgrades [](https://docs.litellm.ai/release_notes/tags/admin-ui\#dependency-upgrades "Direct link to Dependency Upgrades")
+
+- (Security fix) Upgrade to `fastapi==0.115.5` [https://github.com/BerriAI/litellm/pull/7447](https://github.com/BerriAI/litellm/pull/7447)
+
+## Bug Fixes [](https://docs.litellm.ai/release_notes/tags/admin-ui\#bug-fixes "Direct link to Bug Fixes")
+
+- Add health check support for realtime models [Here](https://docs.litellm.ai/docs/proxy/health#realtime-models)
+- Health check error with audio\_transcription model [https://github.com/BerriAI/litellm/issues/5999](https://github.com/BerriAI/litellm/issues/5999)
+
+## Alerting Features Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/alerting#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/alerting\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/alerting\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/alerting\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/alerting\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/alerting\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+## LiteLLM Azure Storage Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/azure-storage#__docusaurus_skipToContent_fallback)
+
+A new LiteLLM Stable release [just went out](https://github.com/BerriAI/litellm/releases/tag/v1.55.8-stable). Here are 5 updates since v1.52.2-stable.
+
+`langfuse`, `fallbacks`, `new models`, `azure_storage`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/azure-storage\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+This makes it easy to run experiments or change the specific models `gpt-4o` to `gpt-4o-mini` on Langfuse, instead of making changes in your applications. [Start here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Control fallback prompts client-side [](https://docs.litellm.ai/release_notes/tags/azure-storage\#control-fallback-prompts-client-side "Direct link to Control fallback prompts client-side")
+
+> Claude prompts are different than OpenAI
+
+Pass in prompts specific to model when doing fallbacks. [Start here](https://docs.litellm.ai/docs/proxy/reliability#control-fallback-prompts)
+
+## New Providers / Models [](https://docs.litellm.ai/release_notes/tags/azure-storage\#new-providers--models "Direct link to New Providers / Models")
+
+- [NVIDIA Triton](https://developer.nvidia.com/triton-inference-server) `/infer` endpoint. [Start here](https://docs.litellm.ai/docs/providers/triton-inference-server)
+- [Infinity](https://github.com/michaelfeil/infinity) Rerank Models [Start here](https://docs.litellm.ai/docs/providers/infinity)
+
+## ✨ Azure Data Lake Storage Support [](https://docs.litellm.ai/release_notes/tags/azure-storage\#-azure-data-lake-storage-support "Direct link to ✨ Azure Data Lake Storage Support")
+
+Send LLM usage (spend, tokens) data to [Azure Data Lake](https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). This makes it easy to consume usage data on other services (eg. Databricks)
+[Start here](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage)
+
+## Docker Run LiteLLM [](https://docs.litellm.ai/release_notes/tags/azure-storage\#docker-run-litellm "Direct link to Docker Run LiteLLM")
+
+```codeBlockLines_e6Vv
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.55.8-stable
+
+```
+
+## Get Daily Updates [](https://docs.litellm.ai/release_notes/tags/azure-storage\#get-daily-updates "Direct link to Get Daily Updates")
+
+LiteLLM ships new releases every day. [Follow us on LinkedIn](https://www.linkedin.com/company/berri-ai/) to get daily updates.
+
+## Batch Processing Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/batch#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/batch\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/batch\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/batch\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/batch\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/batch\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+## Batches API Features
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/batches#__docusaurus_skipToContent_fallback)
+
+`batches`, `guardrails`, `team management`, `custom auth`
+
+
+
+info
+
+Get a free 7-day LiteLLM Enterprise trial here. [Start here](https://www.litellm.ai/#trial)
+
+**No call needed**
+
+## ✨ Cost Tracking, Logging for Batches API ( `/batches`) [](https://docs.litellm.ai/release_notes/tags/batches\#-cost-tracking-logging-for-batches-api-batches "Direct link to -cost-tracking-logging-for-batches-api-batches")
+
+Track cost, usage for Batch Creation Jobs. [Start here](https://docs.litellm.ai/docs/batches)
+
+## ✨ `/guardrails/list` endpoint [](https://docs.litellm.ai/release_notes/tags/batches\#-guardrailslist-endpoint "Direct link to -guardrailslist-endpoint")
+
+Show available guardrails to users. [Start here](https://litellm-api.up.railway.app/#/Guardrails)
+
+## ✨ Allow teams to add models [](https://docs.litellm.ai/release_notes/tags/batches\#-allow-teams-to-add-models "Direct link to ✨ Allow teams to add models")
+
+This enables team admins to call their own finetuned models via litellm proxy. [Start here](https://docs.litellm.ai/docs/proxy/team_model_add)
+
+## ✨ Common checks for custom auth [](https://docs.litellm.ai/release_notes/tags/batches\#-common-checks-for-custom-auth "Direct link to ✨ Common checks for custom auth")
+
+Calling the internal common\_checks function in custom auth is now enforced as an enterprise feature. This allows admins to use litellm's default budget/auth checks within their custom auth implementation. [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
+
+## ✨ Assigning team admins [](https://docs.litellm.ai/release_notes/tags/batches\#-assigning-team-admins "Direct link to ✨ Assigning team admins")
+
+Team admins is graduating from beta and moving to our enterprise tier. This allows proxy admins to allow others to manage keys/models for their own teams (useful for projects in production). [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#restricting-key-generation)
+
+## Budgets and Rate Limits
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits#__docusaurus_skipToContent_fallback)
+
+`key management`, `budgets/rate limits`, `logging`, `guardrails`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## ✨ Budget / Rate Limit Tiers [](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits\#-budget--rate-limit-tiers "Direct link to ✨ Budget / Rate Limit Tiers")
+
+Define tiers with rate limits. Assign them to keys.
+
+Use this to control access and budgets across a lot of keys.
+
+**[Start here](https://docs.litellm.ai/docs/proxy/rate_limit_tiers)**
+
+```codeBlockLines_e6Vv
+curl -L -X POST 'http://0.0.0.0:4000/budget/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+ "budget_id": "high-usage-tier",
+ "model_max_budget": {
+ "gpt-4o": {"rpm_limit": 1000000}
+ }
+}'
+
+```
+
+## OTEL Bug Fix [](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits\#otel-bug-fix "Direct link to OTEL Bug Fix")
+
+LiteLLM was double logging litellm\_request span. This is now fixed.
+
+[Relevant PR](https://github.com/BerriAI/litellm/pull/7435)
+
+## Logging for Finetuning Endpoints [](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits\#logging-for-finetuning-endpoints "Direct link to Logging for Finetuning Endpoints")
+
+Logs for finetuning requests are now available on all logging providers (e.g. Datadog).
+
+What's logged per request:
+
+- file\_id
+- finetuning\_job\_id
+- any key/team metadata
+
+**Start Here:**
+
+- [Setup Finetuning](https://docs.litellm.ai/docs/fine_tuning)
+- [Setup Logging](https://docs.litellm.ai/docs/proxy/logging#datadog)
+
+## Dynamic Params for Guardrails [](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits\#dynamic-params-for-guardrails "Direct link to Dynamic Params for Guardrails")
+
+You can now set custom parameters (like success threshold) for your guardrails in each request.
+
+[See guardrails spec for more details](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#-pass-additional-parameters-to-guardrail)
+
+## Claude 3.7 Sonnet Release
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.61.20-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (more `thinking` content improvements)
+- UI improvements (Error logs now shown on UI)
+
+info
+
+This release will be live on 03/09/2025
+
+
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Add `supports_pdf_input` for specific Bedrock Claude models [PR](https://github.com/BerriAI/litellm/commit/f63cf0030679fe1a43d03fb196e815a0f28dae92)
+2. Add pricing for amazon `eu` models [PR](https://github.com/BerriAI/litellm/commits/main/model_prices_and_context_window.json)
+3. Fix Azure O1 mini pricing [PR](https://github.com/BerriAI/litellm/commit/52de1949ef2f76b8572df751f9c868a016d4832c)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#llm-translation "Direct link to LLM Translation")
+
+
+
+01. Support `/openai/` passthrough for Assistant endpoints. [Get Started](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+02. Bedrock Claude - fix tool calling transformation on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---function-calling--tool-calling)
+03. Bedrock Claude - response\_format support for claude on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+04. Bedrock - pass `description` if set in response\_format. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+05. Bedrock - Fix passing response\_format: {"type": "text"}. [PR](https://github.com/BerriAI/litellm/commit/c84b489d5897755139aa7d4e9e54727ebe0fa540)
+06. OpenAI - Handle sending image\_url as str to openai. [Get Started](https://docs.litellm.ai/docs/completion/vision)
+07. Deepseek - return 'reasoning\_content' missing on streaming. [Get Started](https://docs.litellm.ai/docs/reasoning_content)
+08. Caching - Support caching on reasoning content. [Get Started](https://docs.litellm.ai/docs/proxy/caching)
+09. Bedrock - handle thinking blocks in assistant message. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+10. Anthropic - Return `signature` on streaming. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+
+- Note: We've also migrated from `signature_delta` to `signature`. [Read more](https://docs.litellm.ai/release_notes/v1.63.0)
+
+11. Support format param for specifying image type. [Get Started](https://docs.litellm.ai/docs/completion/vision.md#explicitly-specify-image-type)
+12. Anthropic - `/v1/messages` endpoint - `thinking` param support. [Get Started](https://docs.litellm.ai/docs/anthropic_unified.md)
+
+- Note: this refactors the \[BETA\] unified `/v1/messages` endpoint, to just work for the Anthropic API.
+
+13. Vertex AI - handle $id in response schema when calling vertex ai. [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Batches API - Fix cost calculation to run on retrieve\_batch. [Get Started](https://docs.litellm.ai/docs/batches)
+2. Batches API - Log batch models in spend logs / standard logging payload. [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec.md#standardlogginghiddenparams)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+
+
+1. Virtual Keys Page
+ - Allow team/org filters to be searchable on the Create Key Page
+ - Add created\_by and updated\_by fields to Keys table
+ - Show 'user\_email' on key table
+ - Show 100 Keys Per Page, Use full height, increase width of key alias
+2. Logs Page
+ - Show Error Logs on LiteLLM UI
+ - Allow Internal Users to View their own logs
+3. Internal Users Page
+ - Allow admin to control default model access for internal users
+4. Fix session handling with cookies
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Fix prometheus metrics w/ custom metrics, when keys containing team\_id make requests. [PR](https://github.com/BerriAI/litellm/pull/8935)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Cooldowns - Support cooldowns on models called with client side credentials. [Get Started](https://docs.litellm.ai/docs/proxy/clientside_auth#pass-user-llm-api-keys--api-base)
+2. Tag-based Routing - ensures tag-based routing across all endpoints ( `/embeddings`, `/image_generation`, etc.). [Get Started](https://docs.litellm.ai/docs/proxy/tag_routing)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Raise BadRequestError when unknown model passed in request
+2. Enforce model access restrictions on Azure OpenAI proxy route
+3. Reliability fix - Handle emoji’s in text - fix orjson error
+4. Model Access Patch - don't overwrite litellm.anthropic\_models when running auth checks
+5. Enable setting timezone information in docker image
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.61.20-stable...v1.63.2-stable)
+
+v1.63.0 fixes Anthropic 'thinking' response on streaming to return the `signature` block. [Github Issue](https://github.com/BerriAI/litellm/issues/8964)
+
+It also moves the response structure from `signature_delta` to `signature` to be the same as Anthropic. [Anthropic Docs](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#implementing-extended-thinking)
+
+## Diff [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#diff "Direct link to Diff")
+
+```codeBlockLines_e6Vv
+"message": {
+ ...
+ "reasoning_content": "The capital of France is Paris.",
+ "thinking_blocks": [\
+ {\
+ "type": "thinking",\
+ "thinking": "The capital of France is Paris.",\
+- "signature_delta": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 OLD FORMAT\
++ "signature": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 KEY CHANGE\
+ }\
+ ]
+}
+
+```
+
+These are the changes since `v1.61.13-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (claude-3-7-sonnet + 'thinking'/'reasoning\_content' support)
+- UI improvements (add model flow, user management, etc)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Anthropic 3-7 sonnet support + cost tracking (Anthropic API + Bedrock + Vertex AI + OpenRouter)
+1. Anthropic API [Start here](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+2. Bedrock API [Start here](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+3. Vertex AI API [See here](https://docs.litellm.ai/docs/providers/vertex#usage---thinking--reasoning_content)
+4. OpenRouter [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L5626)
+2. Gpt-4.5-preview support + cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L79)
+3. Azure AI - Phi-4 cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L1773)
+4. Claude-3.5-sonnet - vision support updated on Anthropic API [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2888)
+5. Bedrock llama vision support [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L7714)
+6. Cerebras llama3.3-70b pricing [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2697)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#llm-translation "Direct link to LLM Translation")
+
+1. Infinity Rerank - support returning documents when return\_documents=True [Start here](https://docs.litellm.ai/docs/providers/infinity#usage---returning-documents)
+2. Amazon Deepseek - `` param extraction into ‘reasoning\_content’ [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-imported-models-deepseek-deepseek-r1)
+3. Amazon Titan Embeddings - filter out ‘aws\_’ params from request body [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-embedding)
+4. Anthropic ‘thinking’ + ‘reasoning\_content’ translation support (Anthropic API, Bedrock, Vertex AI) [Start here](https://docs.litellm.ai/docs/reasoning_content)
+5. VLLM - support ‘video\_url’ [Start here](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm)
+6. Call proxy via litellm SDK: Support `litellm_proxy/` for embedding, image\_generation, transcription, speech, rerank [Start here](https://docs.litellm.ai/docs/providers/litellm_proxy)
+7. OpenAI Pass-through - allow using Assistants GET, DELETE on /openai pass through routes [Start here](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+8. Message Translation - fix openai message for assistant msg if role is missing - openai allows this
+9. O1/O3 - support ‘drop\_params’ for o3-mini and o1 parallel\_tool\_calls param (not supported currently) [See here](https://docs.litellm.ai/docs/completion/drop_params)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Cost tracking for rerank via Bedrock [See PR](https://github.com/BerriAI/litellm/commit/b682dc4ec8fd07acf2f4c981d2721e36ae2a49c5)
+2. Anthropic pass-through - fix race condition causing cost to not be tracked [See PR](https://github.com/BerriAI/litellm/pull/8874)
+3. Anthropic pass-through: Ensure accurate token counting [See PR](https://github.com/BerriAI/litellm/pull/8880)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. Models Page - Allow sorting models by ‘created at’
+02. Models Page - Edit Model Flow Improvements
+03. Models Page - Fix Adding Azure, Azure AI Studio models on UI
+04. Internal Users Page - Allow Bulk Adding Internal Users on UI
+05. Internal Users Page - Allow sorting users by ‘created at’
+06. Virtual Keys Page - Allow searching for UserIDs on the dropdown when assigning a user to a team [See PR](https://github.com/BerriAI/litellm/pull/8844)
+07. Virtual Keys Page - allow creating a user when assigning keys to users [See PR](https://github.com/BerriAI/litellm/pull/8844)
+08. Model Hub Page - fix text overflow issue [See PR](https://github.com/BerriAI/litellm/pull/8749)
+09. Admin Settings Page - Allow adding MSFT SSO on UI
+10. Backend - don't allow creating duplicate internal users in DB
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#helm "Direct link to Helm")
+
+1. support ttlSecondsAfterFinished on the migration job - [See PR](https://github.com/BerriAI/litellm/pull/8593)
+2. enhance migrations job with additional configurable properties - [See PR](https://github.com/BerriAI/litellm/pull/8636)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Arize Phoenix support
+2. ‘No-log’ - fix ‘no-log’ param support on embedding calls
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Single Deployment Cooldown logic - Use allowed\_fails or allowed\_fail\_policy if set [Start here](https://docs.litellm.ai/docs/routing#advanced-custom-retries-cooldowns-based-on-error-type)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Hypercorn - fix reading / parsing request body
+2. Windows - fix running proxy in windows
+3. DD-Trace - fix dd-trace enablement on proxy
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet\#complete-git-diff "Direct link to Complete Git Diff")
+
+View the complete git diff [here](https://github.com/BerriAI/litellm/compare/v1.61.13-stable...v1.61.20-stable).
+
+## Cost Tracking Features
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/cost-tracking#__docusaurus_skipToContent_fallback)
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#key-highlights "Direct link to Key Highlights")
+
+- **SCIM Integration**: Enables identity providers (Okta, Azure AD, OneLogin, etc.) to automate user and team (group) provisioning, updates, and deprovisioning
+- **Team and Tag based usage tracking**: You can now see usage and spend by team and tag at 1M+ spend logs.
+- **Unified Responses API**: Support for calling Anthropic, Gemini, Groq, etc. via OpenAI's new Responses API.
+
+Let's dive in.
+
+## SCIM Integration [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#scim-integration "Direct link to SCIM Integration")
+
+
+
+This release adds SCIM support to LiteLLM. This allows your SSO provider (Okta, Azure AD, etc) to automatically create/delete users, teams, and memberships on LiteLLM. This means that when you remove a team on your SSO provider, your SSO provider will automatically delete the corresponding team on LiteLLM.
+
+[Read more](https://docs.litellm.ai/docs/tutorials/scim_litellm)
+
+## Team and Tag based usage tracking [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#team-and-tag-based-usage-tracking "Direct link to Team and Tag based usage tracking")
+
+
+
+This release improves team and tag based usage tracking at 1m+ spend logs, making it easy to monitor your LLM API Spend in production. This covers:
+
+- View **daily spend** by teams + tags
+- View **usage / spend by key**, within teams
+- View **spend by multiple tags**
+- Allow **internal users** to view spend of teams they're a member of
+
+[Read more](https://docs.litellm.ai/release_notes/tags/cost-tracking#management-endpoints--ui)
+
+## Unified Responses API [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#unified-responses-api "Direct link to Unified Responses API")
+
+This release allows you to call Azure OpenAI, Anthropic, AWS Bedrock, and Google Vertex AI models via the POST /v1/responses endpoint on LiteLLM. This means you can now use popular tools like [OpenAI Codex](https://docs.litellm.ai/docs/tutorials/openai_codex) with your own models.
+
+
+
+[Read more](https://docs.litellm.ai/docs/response_api)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing - [Get Started](https://docs.litellm.ai/docs/providers/openai#usage), [PR](https://github.com/BerriAI/litellm/pull/9990)
+2. o4 - correctly map o4 to openai o\_series model
+- **Azure AI**
+1. Phi-4 output cost per token fix - [PR](https://github.com/BerriAI/litellm/pull/9880)
+2. Responses API support [Get Started](https://docs.litellm.ai/docs/providers/azure#azure-responses-api), [PR](https://github.com/BerriAI/litellm/pull/10116)
+- **Anthropic**
+1. redacted message thinking support - [Get Started](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10129)
+- **Cohere**
+1. `/v2/chat` Passthrough endpoint support w/ cost tracking - [Get Started](https://docs.litellm.ai/docs/pass_through/cohere), [PR](https://github.com/BerriAI/litellm/pull/9997)
+- **Azure**
+1. Support azure tenant\_id/client\_id env vars - [Get Started](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret), [PR](https://github.com/BerriAI/litellm/pull/9993)
+2. Fix response\_format check for 2025+ api versions - [PR](https://github.com/BerriAI/litellm/pull/9993)
+3. Add gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing
+- **VLLM**
+1. Files - Support 'file' message type for VLLM video url's - [Get Started](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm), [PR](https://github.com/BerriAI/litellm/pull/10129)
+2. Passthrough - new `/vllm/` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/vllm), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **Mistral**
+1. new `/mistral` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/mistral), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **AWS**
+1. New mapped bedrock regions - [PR](https://github.com/BerriAI/litellm/pull/9430)
+- **VertexAI / Google AI Studio**
+1. Gemini - Response format - Retain schema field ordering for google gemini and vertex by specifying propertyOrdering - [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema), [PR](https://github.com/BerriAI/litellm/pull/9828)
+2. Gemini-2.5-flash - return reasoning content [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#thinking--reasoning_content)
+3. Gemini-2.5-flash - pricing + model information [PR](https://github.com/BerriAI/litellm/pull/10125)
+4. Passthrough - new `/vertex_ai/discovery` route - enables calling AgentBuilder API routes [Get Started](https://docs.litellm.ai/docs/pass_through/vertex_ai#supported-api-endpoints), [PR](https://github.com/BerriAI/litellm/pull/10084)
+- **Fireworks AI**
+1. return tool calling responses in `tool_calls` field (fireworks incorrectly returns this as a json str in content) [PR](https://github.com/BerriAI/litellm/pull/10130)
+- **Triton**
+1. Remove fixed remove bad\_words / stop words from `/generate` call - [Get Started](https://docs.litellm.ai/docs/providers/triton-inference-server#triton-generate---chat-completion), [PR](https://github.com/BerriAI/litellm/pull/10163)
+- **Other**
+1. Support for all litellm providers on Responses API (works with Codex) - [Get Started](https://docs.litellm.ai/docs/tutorials/openai_codex), [PR](https://github.com/BerriAI/litellm/pull/10132)
+2. Fix combining multiple tool calls in streaming response - [Get Started](https://docs.litellm.ai/docs/completion/stream#helper-function), [PR](https://github.com/BerriAI/litellm/pull/10040)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Cost Control** \- inject cache control points in prompt for cost reduction [Get Started](https://docs.litellm.ai/docs/tutorials/prompt_caching), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Spend Tags** \- spend tags in headers - support x-litellm-tags even if tag based routing not enabled [Get Started](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Gemini-2.5-flash** \- support cost calculation for reasoning tokens [PR](https://github.com/BerriAI/litellm/pull/10141)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Users**
+
+1. Show created\_at and updated\_at on users page - [PR](https://github.com/BerriAI/litellm/pull/10033)
+- **Virtual Keys**
+
+1. Filter by key alias - [https://github.com/BerriAI/litellm/pull/10085](https://github.com/BerriAI/litellm/pull/10085)
+- **Usage Tab**
+
+1. Team based usage
+
+
+ - New `LiteLLM_DailyTeamSpend` Table for aggregate team based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10039)
+
+ - New Team based usage dashboard + new `/team/daily/activity` API - [PR](https://github.com/BerriAI/litellm/pull/10081)
+
+ - Return team alias on /team/daily/activity API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow internal user view spend for teams they belong to - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow viewing top keys by team - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+
+
+
+2. Tag Based Usage
+
+ - New `LiteLLM_DailyTagSpend` Table for aggregate tag based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10071)
+ - Restrict to only Proxy Admins - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ - allow viewing top keys by tag
+ - Return tags passed in request (i.e. dynamic tags) on `/tag/list` API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ 
+3. Track prompt caching metrics in daily user, team, tag tables - [PR](https://github.com/BerriAI/litellm/pull/10029)
+
+4. Show usage by key (on all up, team, and tag usage dashboards) - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+5. swap old usage with new usage tab
+- **Models**
+
+1. Make columns resizable/hideable - [PR](https://github.com/BerriAI/litellm/pull/10119)
+- **API Playground**
+
+1. Allow internal user to call api playground - [PR](https://github.com/BerriAI/litellm/pull/10157)
+- **SCIM**
+
+1. Add LiteLLM SCIM Integration for Team and User management - [Get Started](https://docs.litellm.ai/docs/tutorials/scim_litellm), [PR](https://github.com/BerriAI/litellm/pull/10072)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **GCS**
+1. Fix gcs pub sub logging with env var GCS\_PROJECT\_ID - [Get Started](https://docs.litellm.ai/docs/observability/gcs_bucket_integration#usage), [PR](https://github.com/BerriAI/litellm/pull/10042)
+- **AIM**
+1. Add litellm call id passing to Aim guardrails on pre and post-hooks calls - [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/aim_security), [PR](https://github.com/BerriAI/litellm/pull/10021)
+- **Azure blob storage**
+1. Ensure logging works in high throughput scenarios - [Get Started](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage), [PR](https://github.com/BerriAI/litellm/pull/9962)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Support setting `litellm.modify_params` via env var** [PR](https://github.com/BerriAI/litellm/pull/9964)
+- **Model Discovery** \- Check provider’s `/models` endpoints when calling proxy’s `/v1/models` endpoint - [Get Started](https://docs.litellm.ai/docs/proxy/model_discovery), [PR](https://github.com/BerriAI/litellm/pull/9958)
+- **`/utils/token_counter`** \- fix retrieving custom tokenizer for db models - [Get Started](https://docs.litellm.ai/docs/proxy/configs#set-custom-tokenizer), [PR](https://github.com/BerriAI/litellm/pull/10047)
+- **Prisma migrate** \- handle existing columns in db table - [PR](https://github.com/BerriAI/litellm/pull/10138)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.66.0-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.66.0.post1
+
+```
+
+v1.66.0-stable is live now, here are the key highlights of this release
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#key-highlights "Direct link to Key Highlights")
+
+- **Realtime API Cost Tracking**: Track cost of realtime API calls
+- **Microsoft SSO Auto-sync**: Auto-sync groups and group members from Azure Entra ID to LiteLLM
+- **xAI grok-3**: Added support for `xai/grok-3` models
+- **Security Fixes**: Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) and [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) vulnerabilities
+
+Let's dive in.
+
+## Realtime API Cost Tracking [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#realtime-api-cost-tracking "Direct link to Realtime API Cost Tracking")
+
+
+
+This release adds Realtime API logging + cost tracking.
+
+- **Logging**: LiteLLM now logs the complete response from realtime calls to all logging integrations (DB, S3, Langfuse, etc.)
+- **Cost Tracking**: You can now set 'base\_model' and custom pricing for realtime models. [Custom Pricing](https://docs.litellm.ai/docs/proxy/custom_pricing)
+- **Budgets**: Your key/user/team budgets now work for realtime models as well.
+
+Start [here](https://docs.litellm.ai/docs/realtime)
+
+## Microsoft SSO Auto-sync [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#microsoft-sso-auto-sync "Direct link to Microsoft SSO Auto-sync")
+
+
+
+Auto-sync groups and members from Azure Entra ID to LiteLLM
+
+This release adds support for auto-syncing groups and members on Microsoft Entra ID with LiteLLM. This means that LiteLLM proxy administrators can spend less time managing teams and members and LiteLLM handles the following:
+
+- Auto-create teams that exist on Microsoft Entra ID
+- Sync team members on Microsoft Entra ID with LiteLLM teams
+
+Get started with this [here](https://docs.litellm.ai/docs/tutorials/msft_sso)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **xAI**
+
+1. Added reasoning\_effort support for `xai/grok-3-mini-beta` [Get Started](https://docs.litellm.ai/docs/providers/xai#reasoning-usage)
+2. Added cost tracking for `xai/grok-3` models [PR](https://github.com/BerriAI/litellm/pull/9920)
+- **Hugging Face**
+
+1. Added inference providers support [Get Started](https://docs.litellm.ai/docs/providers/huggingface#serverless-inference-providers)
+- **Azure**
+
+1. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **VertexAI**
+
+1. Added enterpriseWebSearch tool support [Get Started](https://docs.litellm.ai/docs/providers/vertex#grounding---web-search)
+2. Moved to only passing keys accepted by the Vertex AI response schema [PR](https://github.com/BerriAI/litellm/pull/8992)
+- **Google AI Studio**
+
+1. Added cost tracking for `gemini-2.5-pro` [PR](https://github.com/BerriAI/litellm/pull/9837)
+2. Fixed pricing for 'gemini/gemini-2.5-pro-preview-03-25' [PR](https://github.com/BerriAI/litellm/pull/9896)
+3. Fixed handling file\_data being passed in [PR](https://github.com/BerriAI/litellm/pull/9786)
+- **Azure**
+
+1. Updated Azure Phi-4 pricing [PR](https://github.com/BerriAI/litellm/pull/9862)
+2. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **Databricks**
+
+1. Removed reasoning\_effort from parameters [PR](https://github.com/BerriAI/litellm/pull/9811)
+2. Fixed custom endpoint check for Databricks [PR](https://github.com/BerriAI/litellm/pull/9925)
+- **General**
+
+1. Added litellm.supports\_reasoning() util to track if an llm supports reasoning [Get Started](https://docs.litellm.ai/docs/providers/anthropic#reasoning)
+2. Function Calling - Handle pydantic base model in message tool calls, handle tools = \[\], and support fake streaming on tool calls for meta.llama3-3-70b-instruct-v1:0 [PR](https://github.com/BerriAI/litellm/pull/9774)
+3. LiteLLM Proxy - Allow passing `thinking` param to litellm proxy via client sdk [PR](https://github.com/BerriAI/litellm/pull/9386)
+4. Fixed correctly translating 'thinking' param for litellm [PR](https://github.com/BerriAI/litellm/pull/9904)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **OpenAI, Azure**
+1. Realtime API Cost tracking with token usage metrics in spend logs [Get Started](https://docs.litellm.ai/docs/realtime)
+- **Anthropic**
+1. Fixed Claude Haiku cache read pricing per token [PR](https://github.com/BerriAI/litellm/pull/9834)
+2. Added cost tracking for Claude responses with base\_model [PR](https://github.com/BerriAI/litellm/pull/9897)
+3. Fixed Anthropic prompt caching cost calculation and trimmed logged message in db [PR](https://github.com/BerriAI/litellm/pull/9838)
+- **General**
+1. Added token tracking and log usage object in spend logs [PR](https://github.com/BerriAI/litellm/pull/9843)
+2. Handle custom pricing at deployment level [PR](https://github.com/BerriAI/litellm/pull/9855)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Test Key Tab**
+
+1. Added rendering of Reasoning content, ttft, usage metrics on test key page [PR](https://github.com/BerriAI/litellm/pull/9931)
+
+ 
+
+ View input, output, reasoning tokens, ttft metrics.
+- **Tag / Policy Management**
+
+1. Added Tag/Policy Management. Create routing rules based on request metadata. This allows you to enforce that requests with `tags="private"` only go to specific models. [Get Started](https://docs.litellm.ai/docs/tutorials/tag_management)
+
+
+
+ 
+
+ Create and manage tags.
+- **Redesigned Login Screen**
+
+1. Polished login screen [PR](https://github.com/BerriAI/litellm/pull/9778)
+- **Microsoft SSO Auto-Sync**
+
+1. Added debug route to allow admins to debug SSO JWT fields [PR](https://github.com/BerriAI/litellm/pull/9835)
+2. Added ability to use MSFT Graph API to assign users to teams [PR](https://github.com/BerriAI/litellm/pull/9865)
+3. Connected litellm to Azure Entra ID Enterprise Application [PR](https://github.com/BerriAI/litellm/pull/9872)
+4. Added ability for admins to set `default_team_params` for when litellm SSO creates default teams [PR](https://github.com/BerriAI/litellm/pull/9895)
+5. Fixed MSFT SSO to use correct field for user email [PR](https://github.com/BerriAI/litellm/pull/9886)
+6. Added UI support for setting Default Team setting when litellm SSO auto creates teams [PR](https://github.com/BerriAI/litellm/pull/9918)
+- **UI Bug Fixes**
+
+1. Prevented team, key, org, model numerical values changing on scrolling [PR](https://github.com/BerriAI/litellm/pull/9776)
+2. Instantly reflect key and team updates in UI [PR](https://github.com/BerriAI/litellm/pull/9825)
+
+## Logging / Guardrail Improvements [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#logging--guardrail-improvements "Direct link to Logging / Guardrail Improvements")
+
+- **Prometheus**
+1. Emit Key and Team Budget metrics on a cron job schedule [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#initialize-budget-metrics-on-startup)
+
+## Security Fixes [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#security-fixes "Direct link to Security Fixes")
+
+- Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) \- Leakage of Langfuse API keys in team exception handling [PR](https://github.com/BerriAI/litellm/pull/9830)
+- Fixed [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) \- Remote code execution in post call rules [PR](https://github.com/BerriAI/litellm/pull/9826)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#helm "Direct link to Helm")
+
+- Added service annotations to litellm-helm chart [PR](https://github.com/BerriAI/litellm/pull/9840)
+- Added extraEnvVars to the helm deployment [PR](https://github.com/BerriAI/litellm/pull/9292)
+
+## Demo [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#demo "Direct link to Demo")
+
+Try this on the demo instance [today](https://docs.litellm.ai/docs/proxy/demo)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/cost-tracking\#complete-git-diff "Direct link to Complete Git Diff")
+
+See the complete git diff since v1.65.4-stable, [here](https://github.com/BerriAI/litellm/releases/tag/v1.66.0-stable)
+
+## Credential Management Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/credential-management#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.63.11-stable`.
+
+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 [](https://docs.litellm.ai/release_notes/tags/credential-management\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.14-stable.patch1
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/credential-management\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/credential-management\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Azure gpt-4o - fixed pricing to latest global pricing - [PR](https://github.com/BerriAI/litellm/pull/9361)
+- O1-Pro - add pricing + model information - [PR](https://github.com/BerriAI/litellm/pull/9397)
+- Azure AI - mistral 3.1 small pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+- Azure - gpt-4.5-preview pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/credential-management\#llm-translation "Direct link to LLM Translation")
+
+1. **New LLM Features**
+
+- Bedrock: Support bedrock application inference profiles [Docs](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile)
+ - Infer aws region from bedrock application profile id - ( `arn:aws:bedrock:us-east-1:...`)
+- Ollama - support calling via `/v1/completions` [Get Started](https://docs.litellm.ai/docs/providers/ollama#using-ollama-fim-on-v1completions)
+- Bedrock - support `us.deepseek.r1-v1:0` model name [Docs](https://docs.litellm.ai/docs/providers/bedrock#supported-aws-bedrock-models)
+- OpenRouter - `OPENROUTER_API_BASE` env var support [Docs](https://docs.litellm.ai/docs/providers/openrouter.md)
+- Azure - add audio model parameter support - [Docs](https://docs.litellm.ai/docs/providers/azure#azure-audio-model)
+- OpenAI - PDF File support [Docs](https://docs.litellm.ai/docs/completion/document_understanding#openai-file-message-type)
+- OpenAI - o1-pro Responses API streaming support [Docs](https://docs.litellm.ai/docs/response_api.md#streaming)
+- \[BETA\] MCP - Use MCP Tools with LiteLLM SDK [Docs](https://docs.litellm.ai/docs/mcp)
+
+2. **Bug Fixes**
+
+- Voyage: prompt token on embedding tracking fix - [PR](https://github.com/BerriAI/litellm/commit/56d3e75b330c3c3862dc6e1c51c1210e48f1068e)
+- Sagemaker - Fix ‘Too little data for declared Content-Length’ error - [PR](https://github.com/BerriAI/litellm/pull/9326)
+- OpenAI-compatible models - fix issue when calling openai-compatible models w/ custom\_llm\_provider set - [PR](https://github.com/BerriAI/litellm/pull/9355)
+- VertexAI - Embedding ‘outputDimensionality’ support - [PR](https://github.com/BerriAI/litellm/commit/437dbe724620675295f298164a076cbd8019d304)
+- Anthropic - return consistent json response format on streaming/non-streaming - [PR](https://github.com/BerriAI/litellm/pull/9437)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- `litellm_proxy/` \- support reading litellm response cost header from proxy, when using client sdk
+- Reset Budget Job - fix budget reset error on keys/teams/users [PR](https://github.com/BerriAI/litellm/pull/9329)
+- Streaming - Prevents final chunk w/ usage from being ignored (impacted bedrock streaming + cost tracking) [PR](https://github.com/BerriAI/litellm/pull/9314)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/credential-management\#ui "Direct link to UI")
+
+1. Users Page
+ - Feature: Control default internal user settings [PR](https://github.com/BerriAI/litellm/pull/9328)
+2. Icons:
+ - Feature: Replace external "artificialanalysis.ai" icons by local svg [PR](https://github.com/BerriAI/litellm/pull/9374)
+3. Sign In/Sign Out
+ - Fix: Default login when `default_user_id` user does not exist in DB [PR](https://github.com/BerriAI/litellm/pull/9395)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/credential-management\#logging-integrations "Direct link to Logging Integrations")
+
+- Support post-call guardrails for streaming responses [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#1-write-a-customguardrail-class)
+- Arize [Get Started](https://docs.litellm.ai/docs/observability/arize_integration)
+ - fix invalid package import [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - migrate to using standardloggingpayload for metadata, ensures spans land successfully [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - fix logging to just log the LLM I/O [PR](https://github.com/BerriAI/litellm/pull/9353)
+ - Dynamic API Key/Space param support [Get Started](https://docs.litellm.ai/docs/observability/arize_integration#pass-arize-spacekey-per-request)
+- StandardLoggingPayload - Log litellm\_model\_name in payload. Allows knowing what the model sent to API provider was [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardlogginghiddenparams)
+- Prompt Management - Allow building custom prompt management integration [Get Started](https://docs.litellm.ai/docs/proxy/custom_prompt_management.md)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+- Redis Caching - add 5s default timeout, prevents hanging redis connection from impacting llm calls [PR](https://github.com/BerriAI/litellm/commit/db92956ae33ed4c4e3233d7e1b0c7229817159bf)
+- Allow disabling all spend updates / writes to DB - patch to allow disabling all spend updates to DB with a flag [PR](https://github.com/BerriAI/litellm/pull/9331)
+- Azure OpenAI - correctly re-use azure openai client, fixes perf issue from previous Stable release [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Azure OpenAI - uses litellm.ssl\_verify on Azure/OpenAI clients [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Usage-based routing - Wildcard model support [Get Started](https://docs.litellm.ai/docs/proxy/usage_based_routing#wildcard-model-support)
+- Usage-based routing - Support batch writing increments to redis - reduces latency to same as ‘simple-shuffle’ [PR](https://github.com/BerriAI/litellm/pull/9357)
+- Router - show reason for model cooldown on ‘no healthy deployments available error’ [PR](https://github.com/BerriAI/litellm/pull/9438)
+- Caching - add max value limit to an item in in-memory cache (1MB) - prevents OOM errors on large image url’s being sent through proxy [PR](https://github.com/BerriAI/litellm/pull/9448)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#general-improvements "Direct link to General Improvements")
+
+- Passthrough Endpoints - support returning api-base on pass-through endpoints Response Headers [Docs](https://docs.litellm.ai/docs/proxy/response_headers#litellm-specific-headers)
+- SSL - support reading ssl security level from env var - Allows user to specify lower security settings [Get Started](https://docs.litellm.ai/docs/guides/security_settings)
+- Credentials - only poll Credentials table when `STORE_MODEL_IN_DB` is True [PR](https://github.com/BerriAI/litellm/pull/9376)
+- Image URL Handling - new architecture doc on image url handling [Docs](https://docs.litellm.ai/docs/proxy/image_handling)
+- OpenAI - bump to pip install "openai==1.68.2" [PR](https://github.com/BerriAI/litellm/commit/e85e3bc52a9de86ad85c3dbb12d87664ee567a5a)
+- Gunicorn - security fix - bump gunicorn==23.0.0 [PR](https://github.com/BerriAI/litellm/commit/7e9fc92f5c7fea1e7294171cd3859d55384166eb)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/credential-management\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.11-stable...v1.63.14.rc)
+
+These are the changes since `v1.63.2-stable`.
+
+This release is primarily focused on:
+
+- \[Beta\] Responses API Support
+- Snowflake Cortex Support, Amazon Nova Image Generation
+- UI - Credential Management, re-use credentials when adding new models
+- UI - Test Connection to LLM Provider before adding a model
+
+## Known Issues [](https://docs.litellm.ai/release_notes/tags/credential-management\#known-issues "Direct link to Known Issues")
+
+- 🚨 Known issue on Azure OpenAI - We don't recommend upgrading if you use Azure OpenAI. This version failed our Azure OpenAI load test
+
+## Docker Run LiteLLM Proxy [](https://docs.litellm.ai/release_notes/tags/credential-management\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.11-stable
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/credential-management\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/credential-management\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Image Generation support for Amazon Nova Canvas [Getting Started](https://docs.litellm.ai/docs/providers/bedrock#image-generation)
+- Add pricing for Jamba new models [PR](https://github.com/BerriAI/litellm/pull/9032/files)
+- Add pricing for Amazon EU models [PR](https://github.com/BerriAI/litellm/pull/9056/files)
+- Add Bedrock Deepseek R1 model pricing [PR](https://github.com/BerriAI/litellm/pull/9108/files)
+- Update Gemini pricing: Gemma 3, Flash 2 thinking update, LearnLM [PR](https://github.com/BerriAI/litellm/pull/9190/files)
+- Mark Cohere Embedding 3 models as Multimodal [PR](https://github.com/BerriAI/litellm/pull/9176/commits/c9a576ce4221fc6e50dc47cdf64ab62736c9da41)
+- Add Azure Data Zone pricing [PR](https://github.com/BerriAI/litellm/pull/9185/files#diff-19ad91c53996e178c1921cbacadf6f3bae20cfe062bd03ee6bfffb72f847ee37)
+ - LiteLLM Tracks cost for `azure/eu` and `azure/us` models
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/credential-management\#llm-translation "Direct link to LLM Translation")
+
+1. **New Endpoints**
+
+- \[Beta\] POST `/responses` API. [Getting Started](https://docs.litellm.ai/docs/response_api)
+
+2. **New LLM Providers**
+
+- Snowflake Cortex [Getting Started](https://docs.litellm.ai/docs/providers/snowflake)
+
+3. **New LLM Features**
+
+- Support OpenRouter `reasoning_content` on streaming [Getting Started](https://docs.litellm.ai/docs/reasoning_content)
+
+4. **Bug Fixes**
+
+- OpenAI: Return `code`, `param` and `type` on bad request error [More information on litellm exceptions](https://docs.litellm.ai/docs/exception_mapping)
+- Bedrock: Fix converse chunk parsing to only return empty dict on tool use [PR](https://github.com/BerriAI/litellm/pull/9166)
+- Bedrock: Support extra\_headers [PR](https://github.com/BerriAI/litellm/pull/9113)
+- Azure: Fix Function Calling Bug & Update Default API Version to `2025-02-01-preview` [PR](https://github.com/BerriAI/litellm/pull/9191)
+- Azure: Fix AI services URL [PR](https://github.com/BerriAI/litellm/pull/9185)
+- Vertex AI: Handle HTTP 201 status code in response [PR](https://github.com/BerriAI/litellm/pull/9193)
+- Perplexity: Fix incorrect streaming response [PR](https://github.com/BerriAI/litellm/pull/9081)
+- Triton: Fix streaming completions bug [PR](https://github.com/BerriAI/litellm/pull/8386)
+- Deepgram: Support bytes.IO when handling audio files for transcription [PR](https://github.com/BerriAI/litellm/pull/9071)
+- Ollama: Fix "system" role has become unacceptable [PR](https://github.com/BerriAI/litellm/pull/9261)
+- All Providers (Streaming): Fix String `data:` stripped from entire content in streamed responses [PR](https://github.com/BerriAI/litellm/pull/9070)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Support Bedrock converse cache token tracking [Getting Started](https://docs.litellm.ai/docs/completion/prompt_caching)
+2. Cost Tracking for Responses API [Getting Started](https://docs.litellm.ai/docs/response_api)
+3. Fix Azure Whisper cost tracking [Getting Started](https://docs.litellm.ai/docs/audio_transcription)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/credential-management\#ui "Direct link to UI")
+
+### Re-Use Credentials on UI [](https://docs.litellm.ai/release_notes/tags/credential-management\#re-use-credentials-on-ui "Direct link to Re-Use Credentials on UI")
+
+You can now onboard LLM provider credentials on LiteLLM UI. Once these credentials are added you can re-use them when adding new models [Getting Started](https://docs.litellm.ai/docs/proxy/ui_credentials)
+
+
+
+### Test Connections before adding models [](https://docs.litellm.ai/release_notes/tags/credential-management\#test-connections-before-adding-models "Direct link to Test Connections before adding models")
+
+Before adding a model you can test the connection to the LLM provider to verify you have setup your API Base + API Key correctly
+
+
+
+### General UI Improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#general-ui-improvements "Direct link to General UI Improvements")
+
+1. Add Models Page
+ - Allow adding Cerebras, Sambanova, Perplexity, Fireworks, Openrouter, TogetherAI Models, Text-Completion OpenAI on Admin UI
+ - Allow adding EU OpenAI models
+ - Fix: Instantly show edit + deletes to models
+2. Keys Page
+ - Fix: Instantly show newly created keys on Admin UI (don't require refresh)
+ - Fix: Allow clicking into Top Keys when showing users Top API Key
+ - Fix: Allow Filter Keys by Team Alias, Key Alias and Org
+ - UI Improvements: Show 100 Keys Per Page, Use full height, increase width of key alias
+3. Users Page
+ - Fix: Show correct count of internal user keys on Users Page
+ - Fix: Metadata not updating in Team UI
+4. Logs Page
+ - UI Improvements: Keep expanded log in focus on LiteLLM UI
+ - UI Improvements: Minor improvements to logs page
+ - Fix: Allow internal user to query their own logs
+ - Allow switching off storing Error Logs in DB [Getting Started](https://docs.litellm.ai/docs/proxy/ui_logs)
+5. Sign In/Sign Out
+ - Fix: Correctly use `PROXY_LOGOUT_URL` when set [Getting Started](https://docs.litellm.ai/docs/proxy/self_serve#setting-custom-logout-urls)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/credential-management\#security "Direct link to Security")
+
+1. Support for Rotating Master Keys [Getting Started](https://docs.litellm.ai/docs/proxy/master_key_rotations)
+2. Fix: Internal User Viewer Permissions, don't allow `internal_user_viewer` role to see `Test Key Page` or `Create Key Button` [More information on role based access controls](https://docs.litellm.ai/docs/proxy/access_control)
+3. Emit audit logs on All user + model Create/Update/Delete endpoints [Getting Started](https://docs.litellm.ai/docs/proxy/multiple_admins)
+4. JWT
+ - Support multiple JWT OIDC providers [Getting Started](https://docs.litellm.ai/docs/proxy/token_auth)
+ - Fix JWT access with Groups not working when team is assigned All Proxy Models access
+5. Using K/V pairs in 1 AWS Secret [Getting Started](https://docs.litellm.ai/docs/secret#using-kv-pairs-in-1-aws-secret)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/credential-management\#logging-integrations "Direct link to Logging Integrations")
+
+1. Prometheus: Track Azure LLM API latency metric [Getting Started](https://docs.litellm.ai/docs/proxy/prometheus#request-latency-metrics)
+2. Athina: Added tags, user\_feedback and model\_options to additional\_keys which can be sent to Athina [Getting Started](https://docs.litellm.ai/docs/observability/athina_integration)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+1. Redis + litellm router - Fix Redis cluster mode for litellm router [PR](https://github.com/BerriAI/litellm/pull/9010)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/credential-management\#general-improvements "Direct link to General Improvements")
+
+1. OpenWebUI Integration - display `thinking` tokens
+
+- Guide on getting started with LiteLLM x OpenWebUI. [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui)
+- Display `thinking` tokens on OpenWebUI (Bedrock, Anthropic, Deepseek) [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui#render-thinking-content-on-openweb-ui)
+
+
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/credential-management\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.2-stable...v1.63.11-stable)
+
+## Custom Auth Features
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/custom-auth#__docusaurus_skipToContent_fallback)
+
+`batches`, `guardrails`, `team management`, `custom auth`
+
+
+
+info
+
+Get a free 7-day LiteLLM Enterprise trial here. [Start here](https://www.litellm.ai/#trial)
+
+**No call needed**
+
+## ✨ Cost Tracking, Logging for Batches API ( `/batches`) [](https://docs.litellm.ai/release_notes/tags/custom-auth\#-cost-tracking-logging-for-batches-api-batches "Direct link to -cost-tracking-logging-for-batches-api-batches")
+
+Track cost, usage for Batch Creation Jobs. [Start here](https://docs.litellm.ai/docs/batches)
+
+## ✨ `/guardrails/list` endpoint [](https://docs.litellm.ai/release_notes/tags/custom-auth\#-guardrailslist-endpoint "Direct link to -guardrailslist-endpoint")
+
+Show available guardrails to users. [Start here](https://litellm-api.up.railway.app/#/Guardrails)
+
+## ✨ Allow teams to add models [](https://docs.litellm.ai/release_notes/tags/custom-auth\#-allow-teams-to-add-models "Direct link to ✨ Allow teams to add models")
+
+This enables team admins to call their own finetuned models via litellm proxy. [Start here](https://docs.litellm.ai/docs/proxy/team_model_add)
+
+## ✨ Common checks for custom auth [](https://docs.litellm.ai/release_notes/tags/custom-auth\#-common-checks-for-custom-auth "Direct link to ✨ Common checks for custom auth")
+
+Calling the internal common\_checks function in custom auth is now enforced as an enterprise feature. This allows admins to use litellm's default budget/auth checks within their custom auth implementation. [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
+
+## ✨ Assigning team admins [](https://docs.litellm.ai/release_notes/tags/custom-auth\#-assigning-team-admins "Direct link to ✨ Assigning team admins")
+
+Team admins is graduating from beta and moving to our enterprise tier. This allows proxy admins to allow others to manage keys/models for their own teams (useful for projects in production). [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#restricting-key-generation)
+
+## LiteLLM v1.65.0 Release
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/custom-prompt-management#__docusaurus_skipToContent_fallback)
+
+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.
+- **UI view total usage after 1M+ logs**: You can now view usage analytics after crossing 1M+ logs in DB.
+
+## Model Context Protocol (MCP) [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#model-context-protocol-mcp "Direct link to Model Context Protocol (MCP)")
+
+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.
+
+Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
+
+
+
+Expose and use MCP servers through LiteLLM
+
+## UI view total usage after 1M+ logs [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#ui-view-total-usage-after-1m-logs "Direct link to UI view total usage after 1M+ logs")
+
+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.
+
+
+
+View total usage after 1M+ logs
+
+- 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:
+
+
+
+ Daily Spend Breakdown API
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ curl -L -X GET 'http://localhost:4000/user/daily/activity?start_date=2025-03-20&end_date=2025-03-27' \
+ -H 'Authorization: Bearer sk-...'
+
+ ```
+
+
+
+
+
+
+
+
+
+
+
+ Daily Spend Breakdown API Response
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ {
+ "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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#new-models--updated-models "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#llm-translation "Direct link to 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)
+- 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)
+- 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#spend-tracking-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#ui "Direct link to UI")
+
+### Model Management [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#model-management "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#request-logs "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#usage-tab "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#logging-integrations "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#performance--reliability-improvements "Direct link to 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)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#general-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#security "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/custom-prompt-management\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/db-schema#__docusaurus_skipToContent_fallback)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/db-schema\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. New OpenAI `/image/variations` endpoint BETA support [Docs](https://docs.litellm.ai/docs/image_variations)
+2. Topaz API support on OpenAI `/image/variations` BETA endpoint [Docs](https://docs.litellm.ai/docs/providers/topaz)
+3. Deepseek - r1 support w/ reasoning\_content ( [Deepseek API](https://docs.litellm.ai/docs/providers/deepseek#reasoning-models), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#model-garden), [Bedrock](https://docs.litellm.ai/docs/providers/bedrock#deepseek))
+4. Azure - Add azure o1 pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L952)
+5. Anthropic - handle `-latest` tag in model for cost calculation
+6. Gemini-2.0-flash-thinking - add model pricing (it’s 0.0) [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L3393)
+7. Bedrock - add stability sd3 model pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6814) (s/o [Marty Sullivan](https://github.com/marty-sullivan))
+8. Bedrock - add us.amazon.nova-lite-v1:0 to model cost map [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L5619)
+9. TogetherAI - add new together\_ai llama3.3 models [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6985)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/db-schema\#llm-translation "Direct link to LLM Translation")
+
+01. LM Studio -> fix async embedding call
+02. Gpt 4o models - fix response\_format translation
+03. Bedrock nova - expand supported document types to include .md, .csv, etc. [Start Here](https://docs.litellm.ai/docs/providers/bedrock#usage---pdf--document-understanding)
+04. Bedrock - docs on IAM role based access for bedrock - [Start Here](https://docs.litellm.ai/docs/providers/bedrock#sts-role-based-auth)
+05. Bedrock - cache IAM role credentials when used
+06. Google AI Studio ( `gemini/`) \- support gemini 'frequency\_penalty' and 'presence\_penalty'
+07. Azure O1 - fix model name check
+08. WatsonX - ZenAPIKey support for WatsonX [Docs](https://docs.litellm.ai/docs/providers/watsonx)
+09. Ollama Chat - support json schema response format [Start Here](https://docs.litellm.ai/docs/providers/ollama#json-schema-support)
+10. Bedrock - return correct bedrock status code and error message if error during streaming
+11. Anthropic - Supported nested json schema on anthropic calls
+12. OpenAI - `metadata` param preview support
+ 1. SDK - enable via `litellm.enable_preview_features = True`
+ 2. PROXY - enable via `litellm_settings::enable_preview_features: true`
+13. Replicate - retry completion response on status=processing
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/db-schema\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Bedrock - QA asserts all bedrock regional models have same `supported_` as base model
+2. Bedrock - fix bedrock converse cost tracking w/ region name specified
+3. Spend Logs reliability fix - when `user` passed in request body is int instead of string
+4. Ensure ‘base\_model’ cost tracking works across all endpoints
+5. Fixes for Image generation cost tracking
+6. Anthropic - fix anthropic end user cost tracking
+7. JWT / OIDC Auth - add end user id tracking from jwt auth
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/db-schema\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. allows team member to become admin post-add (ui + endpoints)
+02. New edit/delete button for updating team membership on UI
+03. If team admin - show all team keys
+04. Model Hub - clarify cost of models is per 1m tokens
+05. Invitation Links - fix invalid url generated
+06. New - SpendLogs Table Viewer - allows proxy admin to view spend logs on UI
+ 1. New spend logs - allow proxy admin to ‘opt in’ to logging request/response in spend logs table - enables easier abuse detection
+ 2. Show country of origin in spend logs
+ 3. Add pagination + filtering by key name/team name
+07. `/key/delete` \- allow team admin to delete team keys
+08. Internal User ‘view’ - fix spend calculation when team selected
+09. Model Analytics is now on Free
+10. Usage page - shows days when spend = 0, and round spend on charts to 2 sig figs
+11. Public Teams - allow admins to expose teams for new users to ‘join’ on UI - [Start Here](https://docs.litellm.ai/docs/proxy/public_teams)
+12. Guardrails
+ 1. set/edit guardrails on a virtual key
+ 2. Allow setting guardrails on a team
+ 3. Set guardrails on team create + edit page
+13. Support temporary budget increases on `/key/update` \- new `temp_budget_increase` and `temp_budget_expiry` fields - [Start Here](https://docs.litellm.ai/docs/proxy/virtual_keys#temporary-budget-increase)
+14. Support writing new key alias to AWS Secret Manager - on key rotation [Start Here](https://docs.litellm.ai/docs/secret#aws-secret-manager)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/db-schema\#helm "Direct link to Helm")
+
+1. add securityContext and pull policy values to migration job (s/o [https://github.com/Hexoplon](https://github.com/Hexoplon))
+2. allow specifying envVars on values.yaml
+3. new helm lint test
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/db-schema\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Log the used prompt when prompt management used. [Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+2. Support s3 logging with team alias prefixes - [Start Here](https://docs.litellm.ai/docs/proxy/logging#team-alias-prefix-in-object-key)
+3. Prometheus [Start Here](https://docs.litellm.ai/docs/proxy/prometheus)
+1. fix litellm\_llm\_api\_time\_to\_first\_token\_metric not populating for bedrock models
+2. emit remaining team budget metric on regular basis (even when call isn’t made) - allows for more stable metrics on Grafana/etc.
+3. add key and team level budget metrics
+4. emit `litellm_overhead_latency_metric`
+5. Emit `litellm_team_budget_reset_at_metric` and `litellm_api_key_budget_remaining_hours_metric`
+4. Datadog - support logging spend tags to Datadog. [Start Here](https://docs.litellm.ai/docs/proxy/enterprise#tracking-spend-for-custom-tags)
+5. Langfuse - fix logging request tags, read from standard logging payload
+6. GCS - don’t truncate payload on logging
+7. New GCS Pub/Sub logging support [Start Here](https://docs.litellm.ai/docs/proxy/logging#google-cloud-storage---pubsub-topic)
+8. Add AIM Guardrails support [Start Here](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/db-schema\#security "Direct link to Security")
+
+1. New Enterprise SLA for patching security vulnerabilities. [See Here](https://docs.litellm.ai/docs/enterprise#slas--professional-support)
+2. Hashicorp - support using vault namespace for TLS auth. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+3. Azure - DefaultAzureCredential support
+
+## Health Checks [](https://docs.litellm.ai/release_notes/tags/db-schema\#health-checks "Direct link to Health Checks")
+
+1. Cleanup pricing-only model names from wildcard route list - prevent bad health checks
+2. Allow specifying a health check model for wildcard routes - [https://docs.litellm.ai/docs/proxy/health#wildcard-routes](https://docs.litellm.ai/docs/proxy/health#wildcard-routes)
+3. New ‘health\_check\_timeout ‘ param with default 1min upperbound to prevent bad model from health check to hang and cause pod restarts. [Start Here](https://docs.litellm.ai/docs/proxy/health#health-check-timeout)
+4. Datadog - add data dog service health check + expose new `/health/services` endpoint. [Start Here](https://docs.litellm.ai/docs/proxy/health#healthservices)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/db-schema\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+01. 3x increase in RPS - moving to orjson for reading request body
+02. LLM Routing speedup - using cached get model group info
+03. SDK speedup - using cached get model info helper - reduces CPU work to get model info
+04. Proxy speedup - only read request body 1 time per request
+05. Infinite loop detection scripts added to codebase
+06. Bedrock - pure async image transformation requests
+07. Cooldowns - single deployment model group if 100% calls fail in high traffic - prevents an o1 outage from impacting other calls
+08. Response Headers - return
+ 1. `x-litellm-timeout`
+ 2. `x-litellm-attempted-retries`
+ 3. `x-litellm-overhead-duration-ms`
+ 4. `x-litellm-response-duration-ms`
+09. ensure duplicate callbacks are not added to proxy
+10. Requirements.txt - bump certifi version
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/db-schema\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. JWT / OIDC Auth - new `enforce_rbac` param,allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy. [Start Here](https://docs.litellm.ai/docs/proxy/token_auth#enforce-role-based-access-control-rbac)
+2. fix custom openapi schema generation for customized swagger’s
+3. Request Headers - support reading `x-litellm-timeout` param from request headers. Enables model timeout control when using Vercel’s AI SDK + LiteLLM Proxy. [Start Here](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers)
+4. JWT / OIDC Auth - new `role` based permissions for model authentication. [See Here](https://docs.litellm.ai/docs/proxy/jwt_auth_arch)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/db-schema\#complete-git-diff "Direct link to Complete Git Diff")
+
+This is the diff between v1.57.8-stable and v1.59.8-stable.
+
+Use this to see the changes in the codebase.
+
+[**Git Diff**](https://github.com/BerriAI/litellm/compare/v1.57.8-stable...v1.59.8-stable)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## UI Improvements [](https://docs.litellm.ai/release_notes/tags/db-schema\#ui-improvements "Direct link to UI Improvements")
+
+### \[Opt In\] Admin UI - view messages / responses [](https://docs.litellm.ai/release_notes/tags/db-schema\#opt-in-admin-ui---view-messages--responses "Direct link to opt-in-admin-ui---view-messages--responses")
+
+You can now view messages and response logs on Admin UI.
+
+
+
+How to enable it - add `store_prompts_in_spend_logs: true` to your `proxy_config.yaml`
+
+Once this flag is enabled, your `messages` and `responses` will be stored in the `LiteLLM_Spend_Logs` table.
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+## DB Schema Change [](https://docs.litellm.ai/release_notes/tags/db-schema\#db-schema-change "Direct link to DB Schema Change")
+
+Added `messages` and `responses` to the `LiteLLM_Spend_Logs` table.
+
+**By default this is not logged.** If you want `messages` and `responses` to be logged, you need to opt in with this setting
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+## Deepgram Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/deepgram#__docusaurus_skipToContent_fallback)
+
+`deepgram`, `fireworks ai`, `vision`, `admin ui`, `dependency upgrades`
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/deepgram\#new-models "Direct link to New Models")
+
+### **Deepgram Speech to Text** [](https://docs.litellm.ai/release_notes/tags/deepgram\#deepgram-speech-to-text "Direct link to deepgram-speech-to-text")
+
+New Speech to Text support for Deepgram models. [**Start Here**](https://docs.litellm.ai/docs/providers/deepgram)
+
+```codeBlockLines_e6Vv
+from litellm import transcription
+import os
+
+# set api keys
+os.environ["DEEPGRAM_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="deepgram/nova-2", file=audio_file)
+
+print(f"response: {response}")
+
+```
+
+### **Fireworks AI - Vision** support for all models [](https://docs.litellm.ai/release_notes/tags/deepgram\#fireworks-ai---vision-support-for-all-models "Direct link to fireworks-ai---vision-support-for-all-models")
+
+LiteLLM supports document inlining for Fireworks AI models. This is useful for models that are not vision models, but still need to parse documents/images/etc.
+LiteLLM will add `#transform=inline` to the url of the image\_url, if the model is not a vision model [See Code](https://github.com/BerriAI/litellm/blob/1ae9d45798bdaf8450f2dfdec703369f3d2212b7/litellm/llms/fireworks_ai/chat/transformation.py#L114)
+
+## Proxy Admin UI [](https://docs.litellm.ai/release_notes/tags/deepgram\#proxy-admin-ui "Direct link to Proxy Admin UI")
+
+- `Test Key` Tab displays `model` used in response
+
+
+
+- `Test Key` Tab renders content in `.md`, `.py` (any code/markdown format)
+
+
+
+## Dependency Upgrades [](https://docs.litellm.ai/release_notes/tags/deepgram\#dependency-upgrades "Direct link to Dependency Upgrades")
+
+- (Security fix) Upgrade to `fastapi==0.115.5` [https://github.com/BerriAI/litellm/pull/7447](https://github.com/BerriAI/litellm/pull/7447)
+
+## Bug Fixes [](https://docs.litellm.ai/release_notes/tags/deepgram\#bug-fixes "Direct link to Bug Fixes")
+
+- Add health check support for realtime models [Here](https://docs.litellm.ai/docs/proxy/health#realtime-models)
+- Health check error with audio\_transcription model [https://github.com/BerriAI/litellm/issues/5999](https://github.com/BerriAI/litellm/issues/5999)
+
+## Dependency Upgrades
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/dependency-upgrades#__docusaurus_skipToContent_fallback)
+
+`deepgram`, `fireworks ai`, `vision`, `admin ui`, `dependency upgrades`
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#new-models "Direct link to New Models")
+
+### **Deepgram Speech to Text** [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#deepgram-speech-to-text "Direct link to deepgram-speech-to-text")
+
+New Speech to Text support for Deepgram models. [**Start Here**](https://docs.litellm.ai/docs/providers/deepgram)
+
+```codeBlockLines_e6Vv
+from litellm import transcription
+import os
+
+# set api keys
+os.environ["DEEPGRAM_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="deepgram/nova-2", file=audio_file)
+
+print(f"response: {response}")
+
+```
+
+### **Fireworks AI - Vision** support for all models [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#fireworks-ai---vision-support-for-all-models "Direct link to fireworks-ai---vision-support-for-all-models")
+
+LiteLLM supports document inlining for Fireworks AI models. This is useful for models that are not vision models, but still need to parse documents/images/etc.
+LiteLLM will add `#transform=inline` to the url of the image\_url, if the model is not a vision model [See Code](https://github.com/BerriAI/litellm/blob/1ae9d45798bdaf8450f2dfdec703369f3d2212b7/litellm/llms/fireworks_ai/chat/transformation.py#L114)
+
+## Proxy Admin UI [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#proxy-admin-ui "Direct link to Proxy Admin UI")
+
+- `Test Key` Tab displays `model` used in response
+
+- `Test Key` Tab renders content in `.md`, `.py` (any code/markdown format)
+
+## Dependency Upgrades [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#dependency-upgrades "Direct link to Dependency Upgrades")
+
+- (Security fix) Upgrade to `fastapi==0.115.5` [https://github.com/BerriAI/litellm/pull/7447](https://github.com/BerriAI/litellm/pull/7447)
+
+## Bug Fixes [](https://docs.litellm.ai/release_notes/tags/dependency-upgrades\#bug-fixes "Direct link to Bug Fixes")
+
+- Add health check support for realtime models [Here](https://docs.litellm.ai/docs/proxy/health#realtime-models)
+- Health check error with audio\_transcription model [https://github.com/BerriAI/litellm/issues/5999](https://github.com/BerriAI/litellm/issues/5999)
+
+## Docker Image Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/docker-image#__docusaurus_skipToContent_fallback)
+
+`docker image`, `security`, `vulnerability`
+
+# 0 Critical/High Vulnerabilities
+
+
+
+## What changed? [](https://docs.litellm.ai/release_notes/tags/docker-image\#what-changed "Direct link to What changed?")
+
+- LiteLLMBase image now uses `cgr.dev/chainguard/python:latest-dev`
+
+## Why the change? [](https://docs.litellm.ai/release_notes/tags/docker-image\#why-the-change "Direct link to Why the change?")
+
+To ensure there are 0 critical/high vulnerabilities on LiteLLM Docker Image
+
+## Migration Guide [](https://docs.litellm.ai/release_notes/tags/docker-image\#migration-guide "Direct link to Migration Guide")
+
+- If you use a custom dockerfile with litellm as a base image + `apt-get`
+
+Instead of `apt-get` use `apk`, the base litellm image will no longer have `apt-get` installed.
+
+**You are only impacted if you use `apt-get` in your Dockerfile**
+
+```codeBlockLines_e6Vv
+# Use the provided base image
+FROM ghcr.io/berriai/litellm:main-latest
+
+# Set the working directory
+WORKDIR /app
+
+# Install dependencies - CHANGE THIS to `apk`
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+Before Change
+
+```codeBlockLines_e6Vv
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+After Change
+
+```codeBlockLines_e6Vv
+RUN apk update && apk add --no-cache dumb-init
+
+```
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/fallbacks#__docusaurus_skipToContent_fallback)
+
+A new LiteLLM Stable release [just went out](https://github.com/BerriAI/litellm/releases/tag/v1.55.8-stable). Here are 5 updates since v1.52.2-stable.
+
+`langfuse`, `fallbacks`, `new models`, `azure_storage`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/fallbacks\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+This makes it easy to run experiments or change the specific models `gpt-4o` to `gpt-4o-mini` on Langfuse, instead of making changes in your applications. [Start here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Control fallback prompts client-side [](https://docs.litellm.ai/release_notes/tags/fallbacks\#control-fallback-prompts-client-side "Direct link to Control fallback prompts client-side")
+
+> Claude prompts are different than OpenAI
+
+Pass in prompts specific to model when doing fallbacks. [Start here](https://docs.litellm.ai/docs/proxy/reliability#control-fallback-prompts)
+
+## New Providers / Models [](https://docs.litellm.ai/release_notes/tags/fallbacks\#new-providers--models "Direct link to New Providers / Models")
+
+- [NVIDIA Triton](https://developer.nvidia.com/triton-inference-server) `/infer` endpoint. [Start here](https://docs.litellm.ai/docs/providers/triton-inference-server)
+- [Infinity](https://github.com/michaelfeil/infinity) Rerank Models [Start here](https://docs.litellm.ai/docs/providers/infinity)
+
+## ✨ Azure Data Lake Storage Support [](https://docs.litellm.ai/release_notes/tags/fallbacks\#-azure-data-lake-storage-support "Direct link to ✨ Azure Data Lake Storage Support")
+
+Send LLM usage (spend, tokens) data to [Azure Data Lake](https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). This makes it easy to consume usage data on other services (eg. Databricks)
+[Start here](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage)
+
+## Docker Run LiteLLM [](https://docs.litellm.ai/release_notes/tags/fallbacks\#docker-run-litellm "Direct link to Docker Run LiteLLM")
+
+```codeBlockLines_e6Vv
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.55.8-stable
+
+```
+
+## Get Daily Updates [](https://docs.litellm.ai/release_notes/tags/fallbacks\#get-daily-updates "Direct link to Get Daily Updates")
+
+LiteLLM ships new releases every day. [Follow us on LinkedIn](https://www.linkedin.com/company/berri-ai/) to get daily updates.
+
+## Finetuning Updates and Improvements
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/finetuning#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/finetuning\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/finetuning\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/finetuning\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/finetuning\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/finetuning\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+## Fireworks AI Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/fireworks-ai#__docusaurus_skipToContent_fallback)
+
+`deepgram`, `fireworks ai`, `vision`, `admin ui`, `dependency upgrades`
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#new-models "Direct link to New Models")
+
+### **Deepgram Speech to Text** [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#deepgram-speech-to-text "Direct link to deepgram-speech-to-text")
+
+New Speech to Text support for Deepgram models. [**Start Here**](https://docs.litellm.ai/docs/providers/deepgram)
+
+```codeBlockLines_e6Vv
+from litellm import transcription
+import os
+
+# set api keys
+os.environ["DEEPGRAM_API_KEY"] = ""
+audio_file = open("/path/to/audio.mp3", "rb")
+
+response = transcription(model="deepgram/nova-2", file=audio_file)
+
+print(f"response: {response}")
+
+```
+
+### **Fireworks AI - Vision** support for all models [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#fireworks-ai---vision-support-for-all-models "Direct link to fireworks-ai---vision-support-for-all-models")
+
+LiteLLM supports document inlining for Fireworks AI models. This is useful for models that are not vision models, but still need to parse documents/images/etc.
+LiteLLM will add `#transform=inline` to the url of the image\_url, if the model is not a vision model [See Code](https://github.com/BerriAI/litellm/blob/1ae9d45798bdaf8450f2dfdec703369f3d2212b7/litellm/llms/fireworks_ai/chat/transformation.py#L114)
+
+## Proxy Admin UI [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#proxy-admin-ui "Direct link to Proxy Admin UI")
+
+- `Test Key` Tab displays `model` used in response
+
+
+
+- `Test Key` Tab renders content in `.md`, `.py` (any code/markdown format)
+
+
+
+## Dependency Upgrades [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#dependency-upgrades "Direct link to Dependency Upgrades")
+
+- (Security fix) Upgrade to `fastapi==0.115.5` [https://github.com/BerriAI/litellm/pull/7447](https://github.com/BerriAI/litellm/pull/7447)
+
+## Bug Fixes [](https://docs.litellm.ai/release_notes/tags/fireworks-ai\#bug-fixes "Direct link to Bug Fixes")
+
+- Add health check support for realtime models [Here](https://docs.litellm.ai/docs/proxy/health#realtime-models)
+- Health check error with audio\_transcription model [https://github.com/BerriAI/litellm/issues/5999](https://github.com/BerriAI/litellm/issues/5999)
+
+## Guardrails and Logging Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/guardrails#__docusaurus_skipToContent_fallback)
+
+`guardrails`, `logging`, `virtual key management`, `new models`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Features [](https://docs.litellm.ai/release_notes/tags/guardrails\#new-features "Direct link to New Features")
+
+### ✨ Log Guardrail Traces [](https://docs.litellm.ai/release_notes/tags/guardrails\#-log-guardrail-traces "Direct link to ✨ Log Guardrail Traces")
+
+Track guardrail failure rate and if a guardrail is going rogue and failing requests. [Start here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+#### Traced Guardrail Success [](https://docs.litellm.ai/release_notes/tags/guardrails\#traced-guardrail-success "Direct link to Traced Guardrail Success")
+
+
+
+#### Traced Guardrail Failure [](https://docs.litellm.ai/release_notes/tags/guardrails\#traced-guardrail-failure "Direct link to Traced Guardrail Failure")
+
+
+
+### `/guardrails/list` [](https://docs.litellm.ai/release_notes/tags/guardrails\#guardrailslist "Direct link to guardrailslist")
+
+`/guardrails/list` allows clients to view available guardrails + supported guardrail params
+
+```codeBlockLines_e6Vv
+curl -X GET 'http://0.0.0.0:4000/guardrails/list'
+
+```
+
+Expected response
+
+```codeBlockLines_e6Vv
+{
+ "guardrails": [\
+ {\
+ "guardrail_name": "aporia-post-guard",\
+ "guardrail_info": {\
+ "params": [\
+ {\
+ "name": "toxicity_score",\
+ "type": "float",\
+ "description": "Score between 0-1 indicating content toxicity level"\
+ },\
+ {\
+ "name": "pii_detection",\
+ "type": "boolean"\
+ }\
+ ]\
+ }\
+ }\
+ ]
+}
+
+```
+
+### ✨ Guardrails with Mock LLM [](https://docs.litellm.ai/release_notes/tags/guardrails\#-guardrails-with-mock-llm "Direct link to ✨ Guardrails with Mock LLM")
+
+Send `mock_response` to test guardrails without making an LLM call. More info on `mock_response` [here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+```codeBlockLines_e6Vv
+curl -i http://localhost:4000/v1/chat/completions \
+ -H "Content-Type: application/json" \
+ -H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
+ -d '{
+ "model": "gpt-3.5-turbo",
+ "messages": [\
+ {"role": "user", "content": "hi my email is ishaan@berri.ai"}\
+ ],
+ "mock_response": "This is a mock response",
+ "guardrails": ["aporia-pre-guard", "aporia-post-guard"]
+ }'
+
+```
+
+### Assign Keys to Users [](https://docs.litellm.ai/release_notes/tags/guardrails\#assign-keys-to-users "Direct link to Assign Keys to Users")
+
+You can now assign keys to users via Proxy UI
+
+
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/guardrails\#new-models "Direct link to New Models")
+
+- `openrouter/openai/o1`
+- `vertex_ai/mistral-large@2411`
+
+## Fixes [](https://docs.litellm.ai/release_notes/tags/guardrails\#fixes "Direct link to Fixes")
+
+- Fix `vertex_ai/` mistral model pricing: [https://github.com/BerriAI/litellm/pull/7345](https://github.com/BerriAI/litellm/pull/7345)
+- Missing model\_group field in logs for aspeech call types [https://github.com/BerriAI/litellm/pull/7392](https://github.com/BerriAI/litellm/pull/7392)
+
+`key management`, `budgets/rate limits`, `logging`, `guardrails`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## ✨ Budget / Rate Limit Tiers [](https://docs.litellm.ai/release_notes/tags/guardrails\#-budget--rate-limit-tiers "Direct link to ✨ Budget / Rate Limit Tiers")
+
+Define tiers with rate limits. Assign them to keys.
+
+Use this to control access and budgets across a lot of keys.
+
+**[Start here](https://docs.litellm.ai/docs/proxy/rate_limit_tiers)**
+
+```codeBlockLines_e6Vv
+curl -L -X POST 'http://0.0.0.0:4000/budget/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+ "budget_id": "high-usage-tier",
+ "model_max_budget": {
+ "gpt-4o": {"rpm_limit": 1000000}
+ }
+}'
+
+```
+
+## OTEL Bug Fix [](https://docs.litellm.ai/release_notes/tags/guardrails\#otel-bug-fix "Direct link to OTEL Bug Fix")
+
+LiteLLM was double logging litellm\_request span. This is now fixed.
+
+[Relevant PR](https://github.com/BerriAI/litellm/pull/7435)
+
+## Logging for Finetuning Endpoints [](https://docs.litellm.ai/release_notes/tags/guardrails\#logging-for-finetuning-endpoints "Direct link to Logging for Finetuning Endpoints")
+
+Logs for finetuning requests are now available on all logging providers (e.g. Datadog).
+
+What's logged per request:
+
+- file\_id
+- finetuning\_job\_id
+- any key/team metadata
+
+**Start Here:**
+
+- [Setup Finetuning](https://docs.litellm.ai/docs/fine_tuning)
+- [Setup Logging](https://docs.litellm.ai/docs/proxy/logging#datadog)
+
+## Dynamic Params for Guardrails [](https://docs.litellm.ai/release_notes/tags/guardrails\#dynamic-params-for-guardrails "Direct link to Dynamic Params for Guardrails")
+
+You can now set custom parameters (like success threshold) for your guardrails in each request.
+
+[See guardrails spec for more details](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#-pass-additional-parameters-to-guardrail)
+
+`batches`, `guardrails`, `team management`, `custom auth`
+
+
+
+info
+
+Get a free 7-day LiteLLM Enterprise trial here. [Start here](https://www.litellm.ai/#trial)
+
+**No call needed**
+
+## ✨ Cost Tracking, Logging for Batches API ( `/batches`) [](https://docs.litellm.ai/release_notes/tags/guardrails\#-cost-tracking-logging-for-batches-api-batches "Direct link to -cost-tracking-logging-for-batches-api-batches")
+
+Track cost, usage for Batch Creation Jobs. [Start here](https://docs.litellm.ai/docs/batches)
+
+## ✨ `/guardrails/list` endpoint [](https://docs.litellm.ai/release_notes/tags/guardrails\#-guardrailslist-endpoint "Direct link to -guardrailslist-endpoint")
+
+Show available guardrails to users. [Start here](https://litellm-api.up.railway.app/#/Guardrails)
+
+## ✨ Allow teams to add models [](https://docs.litellm.ai/release_notes/tags/guardrails\#-allow-teams-to-add-models "Direct link to ✨ Allow teams to add models")
+
+This enables team admins to call their own finetuned models via litellm proxy. [Start here](https://docs.litellm.ai/docs/proxy/team_model_add)
+
+## ✨ Common checks for custom auth [](https://docs.litellm.ai/release_notes/tags/guardrails\#-common-checks-for-custom-auth "Direct link to ✨ Common checks for custom auth")
+
+Calling the internal common\_checks function in custom auth is now enforced as an enterprise feature. This allows admins to use litellm's default budget/auth checks within their custom auth implementation. [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
+
+## ✨ Assigning team admins [](https://docs.litellm.ai/release_notes/tags/guardrails\#-assigning-team-admins "Direct link to ✨ Assigning team admins")
+
+Team admins is graduating from beta and moving to our enterprise tier. This allows proxy admins to allow others to manage keys/models for their own teams (useful for projects in production). [Start here](https://docs.litellm.ai/docs/proxy/virtual_keys#restricting-key-generation)
+
+## LLM Features and Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/humanloop#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/humanloop\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/humanloop\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/humanloop\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/humanloop\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/humanloop\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+## Key Management Overview
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/key-management#__docusaurus_skipToContent_fallback)
+
+`key management`, `budgets/rate limits`, `logging`, `guardrails`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## ✨ Budget / Rate Limit Tiers [](https://docs.litellm.ai/release_notes/tags/key-management\#-budget--rate-limit-tiers "Direct link to ✨ Budget / Rate Limit Tiers")
+
+Define tiers with rate limits. Assign them to keys.
+
+Use this to control access and budgets across a lot of keys.
+
+**[Start here](https://docs.litellm.ai/docs/proxy/rate_limit_tiers)**
+
+```codeBlockLines_e6Vv
+curl -L -X POST 'http://0.0.0.0:4000/budget/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+ "budget_id": "high-usage-tier",
+ "model_max_budget": {
+ "gpt-4o": {"rpm_limit": 1000000}
+ }
+}'
+
+```
+
+## OTEL Bug Fix [](https://docs.litellm.ai/release_notes/tags/key-management\#otel-bug-fix "Direct link to OTEL Bug Fix")
+
+LiteLLM was double logging litellm\_request span. This is now fixed.
+
+[Relevant PR](https://github.com/BerriAI/litellm/pull/7435)
+
+## Logging for Finetuning Endpoints [](https://docs.litellm.ai/release_notes/tags/key-management\#logging-for-finetuning-endpoints "Direct link to Logging for Finetuning Endpoints")
+
+Logs for finetuning requests are now available on all logging providers (e.g. Datadog).
+
+What's logged per request:
+
+- file\_id
+- finetuning\_job\_id
+- any key/team metadata
+
+**Start Here:**
+
+- [Setup Finetuning](https://docs.litellm.ai/docs/fine_tuning)
+- [Setup Logging](https://docs.litellm.ai/docs/proxy/logging#datadog)
+
+## Dynamic Params for Guardrails [](https://docs.litellm.ai/release_notes/tags/key-management\#dynamic-params-for-guardrails "Direct link to Dynamic Params for Guardrails")
+
+You can now set custom parameters (like success threshold) for your guardrails in each request.
+
+[See guardrails spec for more details](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#-pass-additional-parameters-to-guardrail)
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/langfuse#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/langfuse\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/langfuse\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/langfuse\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/langfuse\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+`langfuse`, `management endpoints`, `ui`, `prometheus`, `secret management`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/langfuse\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+Langfuse Prompt Management is being labelled as BETA. This allows us to iterate quickly on the feedback we're receiving, and making the status clearer to users. We expect to make this feature to be stable by next month (February 2025).
+
+Changes:
+
+- Include the client message in the LLM API Request. (Previously only the prompt template was sent, and the client message was ignored).
+- Log the prompt template in the logged request (e.g. to s3/langfuse).
+- Log the 'prompt\_id' and 'prompt\_variables' in the logged request (e.g. to s3/langfuse).
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Team/Organization Management + UI Improvements [](https://docs.litellm.ai/release_notes/tags/langfuse\#teamorganization-management--ui-improvements "Direct link to Team/Organization Management + UI Improvements")
+
+Managing teams and organizations on the UI is now easier.
+
+Changes:
+
+- Support for editing user role within team on UI.
+- Support updating team member role to admin via api - `/team/member_update`
+- Show team admins all keys for their team.
+- Add organizations with budgets
+- Assign teams to orgs on the UI
+- Auto-assign SSO users to teams
+
+[Start Here](https://docs.litellm.ai/docs/proxy/self_serve)
+
+## Hashicorp Vault Support [](https://docs.litellm.ai/release_notes/tags/langfuse\#hashicorp-vault-support "Direct link to Hashicorp Vault Support")
+
+We now support writing LiteLLM Virtual API keys to Hashicorp Vault.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/vault)
+
+## Custom Prometheus Metrics [](https://docs.litellm.ai/release_notes/tags/langfuse\#custom-prometheus-metrics "Direct link to Custom Prometheus Metrics")
+
+Define custom prometheus metrics, and track usage/latency/no. of requests against them
+
+This allows for more fine-grained tracking - e.g. on prompt template passed in request metadata
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+A new LiteLLM Stable release [just went out](https://github.com/BerriAI/litellm/releases/tag/v1.55.8-stable). Here are 5 updates since v1.52.2-stable.
+
+`langfuse`, `fallbacks`, `new models`, `azure_storage`
+
+
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/langfuse\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+This makes it easy to run experiments or change the specific models `gpt-4o` to `gpt-4o-mini` on Langfuse, instead of making changes in your applications. [Start here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Control fallback prompts client-side [](https://docs.litellm.ai/release_notes/tags/langfuse\#control-fallback-prompts-client-side "Direct link to Control fallback prompts client-side")
+
+> Claude prompts are different than OpenAI
+
+Pass in prompts specific to model when doing fallbacks. [Start here](https://docs.litellm.ai/docs/proxy/reliability#control-fallback-prompts)
+
+## New Providers / Models [](https://docs.litellm.ai/release_notes/tags/langfuse\#new-providers--models "Direct link to New Providers / Models")
+
+- [NVIDIA Triton](https://developer.nvidia.com/triton-inference-server) `/infer` endpoint. [Start here](https://docs.litellm.ai/docs/providers/triton-inference-server)
+- [Infinity](https://github.com/michaelfeil/infinity) Rerank Models [Start here](https://docs.litellm.ai/docs/providers/infinity)
+
+## ✨ Azure Data Lake Storage Support [](https://docs.litellm.ai/release_notes/tags/langfuse\#-azure-data-lake-storage-support "Direct link to ✨ Azure Data Lake Storage Support")
+
+Send LLM usage (spend, tokens) data to [Azure Data Lake](https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). This makes it easy to consume usage data on other services (eg. Databricks)
+[Start here](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage)
+
+## Docker Run LiteLLM [](https://docs.litellm.ai/release_notes/tags/langfuse\#docker-run-litellm "Direct link to Docker Run LiteLLM")
+
+```codeBlockLines_e6Vv
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.55.8-stable
+
+```
+
+## Get Daily Updates [](https://docs.litellm.ai/release_notes/tags/langfuse\#get-daily-updates "Direct link to Get Daily Updates")
+
+LiteLLM ships new releases every day. [Follow us on LinkedIn](https://www.linkedin.com/company/berri-ai/) to get daily updates.
+
+## LLM Translation Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/llm-translation#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.61.20-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (more `thinking` content improvements)
+- UI improvements (Error logs now shown on UI)
+
+info
+
+This release will be live on 03/09/2025
+
+
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/llm-translation\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/llm-translation\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Add `supports_pdf_input` for specific Bedrock Claude models [PR](https://github.com/BerriAI/litellm/commit/f63cf0030679fe1a43d03fb196e815a0f28dae92)
+2. Add pricing for amazon `eu` models [PR](https://github.com/BerriAI/litellm/commits/main/model_prices_and_context_window.json)
+3. Fix Azure O1 mini pricing [PR](https://github.com/BerriAI/litellm/commit/52de1949ef2f76b8572df751f9c868a016d4832c)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/llm-translation\#llm-translation "Direct link to LLM Translation")
+
+
+
+01. Support `/openai/` passthrough for Assistant endpoints. [Get Started](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+02. Bedrock Claude - fix tool calling transformation on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---function-calling--tool-calling)
+03. Bedrock Claude - response\_format support for claude on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+04. Bedrock - pass `description` if set in response\_format. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+05. Bedrock - Fix passing response\_format: {"type": "text"}. [PR](https://github.com/BerriAI/litellm/commit/c84b489d5897755139aa7d4e9e54727ebe0fa540)
+06. OpenAI - Handle sending image\_url as str to openai. [Get Started](https://docs.litellm.ai/docs/completion/vision)
+07. Deepseek - return 'reasoning\_content' missing on streaming. [Get Started](https://docs.litellm.ai/docs/reasoning_content)
+08. Caching - Support caching on reasoning content. [Get Started](https://docs.litellm.ai/docs/proxy/caching)
+09. Bedrock - handle thinking blocks in assistant message. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+10. Anthropic - Return `signature` on streaming. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+
+- Note: We've also migrated from `signature_delta` to `signature`. [Read more](https://docs.litellm.ai/release_notes/v1.63.0)
+
+11. Support format param for specifying image type. [Get Started](https://docs.litellm.ai/docs/completion/vision.md#explicitly-specify-image-type)
+12. Anthropic - `/v1/messages` endpoint - `thinking` param support. [Get Started](https://docs.litellm.ai/docs/anthropic_unified.md)
+
+- Note: this refactors the \[BETA\] unified `/v1/messages` endpoint, to just work for the Anthropic API.
+
+13. Vertex AI - handle $id in response schema when calling vertex ai. [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Batches API - Fix cost calculation to run on retrieve\_batch. [Get Started](https://docs.litellm.ai/docs/batches)
+2. Batches API - Log batch models in spend logs / standard logging payload. [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec.md#standardlogginghiddenparams)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/llm-translation\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+
+
+1. Virtual Keys Page
+ - Allow team/org filters to be searchable on the Create Key Page
+ - Add created\_by and updated\_by fields to Keys table
+ - Show 'user\_email' on key table
+ - Show 100 Keys Per Page, Use full height, increase width of key alias
+2. Logs Page
+ - Show Error Logs on LiteLLM UI
+ - Allow Internal Users to View their own logs
+3. Internal Users Page
+ - Allow admin to control default model access for internal users
+4. Fix session handling with cookies
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/llm-translation\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Fix prometheus metrics w/ custom metrics, when keys containing team\_id make requests. [PR](https://github.com/BerriAI/litellm/pull/8935)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Cooldowns - Support cooldowns on models called with client side credentials. [Get Started](https://docs.litellm.ai/docs/proxy/clientside_auth#pass-user-llm-api-keys--api-base)
+2. Tag-based Routing - ensures tag-based routing across all endpoints ( `/embeddings`, `/image_generation`, etc.). [Get Started](https://docs.litellm.ai/docs/proxy/tag_routing)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Raise BadRequestError when unknown model passed in request
+2. Enforce model access restrictions on Azure OpenAI proxy route
+3. Reliability fix - Handle emoji’s in text - fix orjson error
+4. Model Access Patch - don't overwrite litellm.anthropic\_models when running auth checks
+5. Enable setting timezone information in docker image
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/llm-translation\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.61.20-stable...v1.63.2-stable)
+
+v1.63.0 fixes Anthropic 'thinking' response on streaming to return the `signature` block. [Github Issue](https://github.com/BerriAI/litellm/issues/8964)
+
+It also moves the response structure from `signature_delta` to `signature` to be the same as Anthropic. [Anthropic Docs](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#implementing-extended-thinking)
+
+## Diff [](https://docs.litellm.ai/release_notes/tags/llm-translation\#diff "Direct link to Diff")
+
+```codeBlockLines_e6Vv
+"message": {
+ ...
+ "reasoning_content": "The capital of France is Paris.",
+ "thinking_blocks": [\
+ {\
+ "type": "thinking",\
+ "thinking": "The capital of France is Paris.",\
+- "signature_delta": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 OLD FORMAT\
++ "signature": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 KEY CHANGE\
+ }\
+ ]
+}
+
+```
+
+These are the changes since `v1.61.13-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (claude-3-7-sonnet + 'thinking'/'reasoning\_content' support)
+- UI improvements (add model flow, user management, etc)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/llm-translation\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/llm-translation\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Anthropic 3-7 sonnet support + cost tracking (Anthropic API + Bedrock + Vertex AI + OpenRouter)
+1. Anthropic API [Start here](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+2. Bedrock API [Start here](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+3. Vertex AI API [See here](https://docs.litellm.ai/docs/providers/vertex#usage---thinking--reasoning_content)
+4. OpenRouter [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L5626)
+2. Gpt-4.5-preview support + cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L79)
+3. Azure AI - Phi-4 cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L1773)
+4. Claude-3.5-sonnet - vision support updated on Anthropic API [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2888)
+5. Bedrock llama vision support [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L7714)
+6. Cerebras llama3.3-70b pricing [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2697)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/llm-translation\#llm-translation "Direct link to LLM Translation")
+
+1. Infinity Rerank - support returning documents when return\_documents=True [Start here](https://docs.litellm.ai/docs/providers/infinity#usage---returning-documents)
+2. Amazon Deepseek - `` param extraction into ‘reasoning\_content’ [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-imported-models-deepseek-deepseek-r1)
+3. Amazon Titan Embeddings - filter out ‘aws\_’ params from request body [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-embedding)
+4. Anthropic ‘thinking’ + ‘reasoning\_content’ translation support (Anthropic API, Bedrock, Vertex AI) [Start here](https://docs.litellm.ai/docs/reasoning_content)
+5. VLLM - support ‘video\_url’ [Start here](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm)
+6. Call proxy via litellm SDK: Support `litellm_proxy/` for embedding, image\_generation, transcription, speech, rerank [Start here](https://docs.litellm.ai/docs/providers/litellm_proxy)
+7. OpenAI Pass-through - allow using Assistants GET, DELETE on /openai pass through routes [Start here](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+8. Message Translation - fix openai message for assistant msg if role is missing - openai allows this
+9. O1/O3 - support ‘drop\_params’ for o3-mini and o1 parallel\_tool\_calls param (not supported currently) [See here](https://docs.litellm.ai/docs/completion/drop_params)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Cost tracking for rerank via Bedrock [See PR](https://github.com/BerriAI/litellm/commit/b682dc4ec8fd07acf2f4c981d2721e36ae2a49c5)
+2. Anthropic pass-through - fix race condition causing cost to not be tracked [See PR](https://github.com/BerriAI/litellm/pull/8874)
+3. Anthropic pass-through: Ensure accurate token counting [See PR](https://github.com/BerriAI/litellm/pull/8880)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/llm-translation\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. Models Page - Allow sorting models by ‘created at’
+02. Models Page - Edit Model Flow Improvements
+03. Models Page - Fix Adding Azure, Azure AI Studio models on UI
+04. Internal Users Page - Allow Bulk Adding Internal Users on UI
+05. Internal Users Page - Allow sorting users by ‘created at’
+06. Virtual Keys Page - Allow searching for UserIDs on the dropdown when assigning a user to a team [See PR](https://github.com/BerriAI/litellm/pull/8844)
+07. Virtual Keys Page - allow creating a user when assigning keys to users [See PR](https://github.com/BerriAI/litellm/pull/8844)
+08. Model Hub Page - fix text overflow issue [See PR](https://github.com/BerriAI/litellm/pull/8749)
+09. Admin Settings Page - Allow adding MSFT SSO on UI
+10. Backend - don't allow creating duplicate internal users in DB
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/llm-translation\#helm "Direct link to Helm")
+
+1. support ttlSecondsAfterFinished on the migration job - [See PR](https://github.com/BerriAI/litellm/pull/8593)
+2. enhance migrations job with additional configurable properties - [See PR](https://github.com/BerriAI/litellm/pull/8636)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/llm-translation\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Arize Phoenix support
+2. ‘No-log’ - fix ‘no-log’ param support on embedding calls
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Single Deployment Cooldown logic - Use allowed\_fails or allowed\_fail\_policy if set [Start here](https://docs.litellm.ai/docs/routing#advanced-custom-retries-cooldowns-based-on-error-type)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/llm-translation\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Hypercorn - fix reading / parsing request body
+2. Windows - fix running proxy in windows
+3. DD-Trace - fix dd-trace enablement on proxy
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/llm-translation\#complete-git-diff "Direct link to Complete Git Diff")
+
+View the complete git diff [here](https://github.com/BerriAI/litellm/compare/v1.61.13-stable...v1.61.20-stable).
+
+## LiteLLM Logging Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/logging#__docusaurus_skipToContent_fallback)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/logging\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. New OpenAI `/image/variations` endpoint BETA support [Docs](https://docs.litellm.ai/docs/image_variations)
+2. Topaz API support on OpenAI `/image/variations` BETA endpoint [Docs](https://docs.litellm.ai/docs/providers/topaz)
+3. Deepseek - r1 support w/ reasoning\_content ( [Deepseek API](https://docs.litellm.ai/docs/providers/deepseek#reasoning-models), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#model-garden), [Bedrock](https://docs.litellm.ai/docs/providers/bedrock#deepseek))
+4. Azure - Add azure o1 pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L952)
+5. Anthropic - handle `-latest` tag in model for cost calculation
+6. Gemini-2.0-flash-thinking - add model pricing (it’s 0.0) [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L3393)
+7. Bedrock - add stability sd3 model pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6814) (s/o [Marty Sullivan](https://github.com/marty-sullivan))
+8. Bedrock - add us.amazon.nova-lite-v1:0 to model cost map [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L5619)
+9. TogetherAI - add new together\_ai llama3.3 models [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6985)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/logging\#llm-translation "Direct link to LLM Translation")
+
+01. LM Studio -> fix async embedding call
+02. Gpt 4o models - fix response\_format translation
+03. Bedrock nova - expand supported document types to include .md, .csv, etc. [Start Here](https://docs.litellm.ai/docs/providers/bedrock#usage---pdf--document-understanding)
+04. Bedrock - docs on IAM role based access for bedrock - [Start Here](https://docs.litellm.ai/docs/providers/bedrock#sts-role-based-auth)
+05. Bedrock - cache IAM role credentials when used
+06. Google AI Studio ( `gemini/`) \- support gemini 'frequency\_penalty' and 'presence\_penalty'
+07. Azure O1 - fix model name check
+08. WatsonX - ZenAPIKey support for WatsonX [Docs](https://docs.litellm.ai/docs/providers/watsonx)
+09. Ollama Chat - support json schema response format [Start Here](https://docs.litellm.ai/docs/providers/ollama#json-schema-support)
+10. Bedrock - return correct bedrock status code and error message if error during streaming
+11. Anthropic - Supported nested json schema on anthropic calls
+12. OpenAI - `metadata` param preview support
+ 1. SDK - enable via `litellm.enable_preview_features = True`
+ 2. PROXY - enable via `litellm_settings::enable_preview_features: true`
+13. Replicate - retry completion response on status=processing
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/logging\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Bedrock - QA asserts all bedrock regional models have same `supported_` as base model
+2. Bedrock - fix bedrock converse cost tracking w/ region name specified
+3. Spend Logs reliability fix - when `user` passed in request body is int instead of string
+4. Ensure ‘base\_model’ cost tracking works across all endpoints
+5. Fixes for Image generation cost tracking
+6. Anthropic - fix anthropic end user cost tracking
+7. JWT / OIDC Auth - add end user id tracking from jwt auth
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/logging\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. allows team member to become admin post-add (ui + endpoints)
+02. New edit/delete button for updating team membership on UI
+03. If team admin - show all team keys
+04. Model Hub - clarify cost of models is per 1m tokens
+05. Invitation Links - fix invalid url generated
+06. New - SpendLogs Table Viewer - allows proxy admin to view spend logs on UI
+ 1. New spend logs - allow proxy admin to ‘opt in’ to logging request/response in spend logs table - enables easier abuse detection
+ 2. Show country of origin in spend logs
+ 3. Add pagination + filtering by key name/team name
+07. `/key/delete` \- allow team admin to delete team keys
+08. Internal User ‘view’ - fix spend calculation when team selected
+09. Model Analytics is now on Free
+10. Usage page - shows days when spend = 0, and round spend on charts to 2 sig figs
+11. Public Teams - allow admins to expose teams for new users to ‘join’ on UI - [Start Here](https://docs.litellm.ai/docs/proxy/public_teams)
+12. Guardrails
+ 1. set/edit guardrails on a virtual key
+ 2. Allow setting guardrails on a team
+ 3. Set guardrails on team create + edit page
+13. Support temporary budget increases on `/key/update` \- new `temp_budget_increase` and `temp_budget_expiry` fields - [Start Here](https://docs.litellm.ai/docs/proxy/virtual_keys#temporary-budget-increase)
+14. Support writing new key alias to AWS Secret Manager - on key rotation [Start Here](https://docs.litellm.ai/docs/secret#aws-secret-manager)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/logging\#helm "Direct link to Helm")
+
+1. add securityContext and pull policy values to migration job (s/o [https://github.com/Hexoplon](https://github.com/Hexoplon))
+2. allow specifying envVars on values.yaml
+3. new helm lint test
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/logging\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Log the used prompt when prompt management used. [Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+2. Support s3 logging with team alias prefixes - [Start Here](https://docs.litellm.ai/docs/proxy/logging#team-alias-prefix-in-object-key)
+3. Prometheus [Start Here](https://docs.litellm.ai/docs/proxy/prometheus)
+1. fix litellm\_llm\_api\_time\_to\_first\_token\_metric not populating for bedrock models
+2. emit remaining team budget metric on regular basis (even when call isn’t made) - allows for more stable metrics on Grafana/etc.
+3. add key and team level budget metrics
+4. emit `litellm_overhead_latency_metric`
+5. Emit `litellm_team_budget_reset_at_metric` and `litellm_api_key_budget_remaining_hours_metric`
+4. Datadog - support logging spend tags to Datadog. [Start Here](https://docs.litellm.ai/docs/proxy/enterprise#tracking-spend-for-custom-tags)
+5. Langfuse - fix logging request tags, read from standard logging payload
+6. GCS - don’t truncate payload on logging
+7. New GCS Pub/Sub logging support [Start Here](https://docs.litellm.ai/docs/proxy/logging#google-cloud-storage---pubsub-topic)
+8. Add AIM Guardrails support [Start Here](https://docs.litellm.ai/docs/proxy/guardrails/aim_security)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/logging\#security "Direct link to Security")
+
+1. New Enterprise SLA for patching security vulnerabilities. [See Here](https://docs.litellm.ai/docs/enterprise#slas--professional-support)
+2. Hashicorp - support using vault namespace for TLS auth. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+3. Azure - DefaultAzureCredential support
+
+## Health Checks [](https://docs.litellm.ai/release_notes/tags/logging\#health-checks "Direct link to Health Checks")
+
+1. Cleanup pricing-only model names from wildcard route list - prevent bad health checks
+2. Allow specifying a health check model for wildcard routes - [https://docs.litellm.ai/docs/proxy/health#wildcard-routes](https://docs.litellm.ai/docs/proxy/health#wildcard-routes)
+3. New ‘health\_check\_timeout ‘ param with default 1min upperbound to prevent bad model from health check to hang and cause pod restarts. [Start Here](https://docs.litellm.ai/docs/proxy/health#health-check-timeout)
+4. Datadog - add data dog service health check + expose new `/health/services` endpoint. [Start Here](https://docs.litellm.ai/docs/proxy/health#healthservices)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/logging\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+01. 3x increase in RPS - moving to orjson for reading request body
+02. LLM Routing speedup - using cached get model group info
+03. SDK speedup - using cached get model info helper - reduces CPU work to get model info
+04. Proxy speedup - only read request body 1 time per request
+05. Infinite loop detection scripts added to codebase
+06. Bedrock - pure async image transformation requests
+07. Cooldowns - single deployment model group if 100% calls fail in high traffic - prevents an o1 outage from impacting other calls
+08. Response Headers - return
+ 1. `x-litellm-timeout`
+ 2. `x-litellm-attempted-retries`
+ 3. `x-litellm-overhead-duration-ms`
+ 4. `x-litellm-response-duration-ms`
+09. ensure duplicate callbacks are not added to proxy
+10. Requirements.txt - bump certifi version
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/logging\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. JWT / OIDC Auth - new `enforce_rbac` param,allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy. [Start Here](https://docs.litellm.ai/docs/proxy/token_auth#enforce-role-based-access-control-rbac)
+2. fix custom openapi schema generation for customized swagger’s
+3. Request Headers - support reading `x-litellm-timeout` param from request headers. Enables model timeout control when using Vercel’s AI SDK + LiteLLM Proxy. [Start Here](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers)
+4. JWT / OIDC Auth - new `role` based permissions for model authentication. [See Here](https://docs.litellm.ai/docs/proxy/jwt_auth_arch)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/logging\#complete-git-diff "Direct link to Complete Git Diff")
+
+This is the diff between v1.57.8-stable and v1.59.8-stable.
+
+Use this to see the changes in the codebase.
+
+[**Git Diff**](https://github.com/BerriAI/litellm/compare/v1.57.8-stable...v1.59.8-stable)
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## UI Improvements [](https://docs.litellm.ai/release_notes/tags/logging\#ui-improvements "Direct link to UI Improvements")
+
+### \[Opt In\] Admin UI - view messages / responses [](https://docs.litellm.ai/release_notes/tags/logging\#opt-in-admin-ui---view-messages--responses "Direct link to opt-in-admin-ui---view-messages--responses")
+
+You can now view messages and response logs on Admin UI.
+
+
+
+How to enable it - add `store_prompts_in_spend_logs: true` to your `proxy_config.yaml`
+
+Once this flag is enabled, your `messages` and `responses` will be stored in the `LiteLLM_Spend_Logs` table.
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+## DB Schema Change [](https://docs.litellm.ai/release_notes/tags/logging\#db-schema-change "Direct link to DB Schema Change")
+
+Added `messages` and `responses` to the `LiteLLM_Spend_Logs` table.
+
+**By default this is not logged.** If you want `messages` and `responses` to be logged, you need to opt in with this setting
+
+```codeBlockLines_e6Vv
+general_settings:
+ store_prompts_in_spend_logs: true
+
+```
+
+`guardrails`, `logging`, `virtual key management`, `new models`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Features [](https://docs.litellm.ai/release_notes/tags/logging\#new-features "Direct link to New Features")
+
+### ✨ Log Guardrail Traces [](https://docs.litellm.ai/release_notes/tags/logging\#-log-guardrail-traces "Direct link to ✨ Log Guardrail Traces")
+
+Track guardrail failure rate and if a guardrail is going rogue and failing requests. [Start here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+#### Traced Guardrail Success [](https://docs.litellm.ai/release_notes/tags/logging\#traced-guardrail-success "Direct link to Traced Guardrail Success")
+
+
+
+#### Traced Guardrail Failure [](https://docs.litellm.ai/release_notes/tags/logging\#traced-guardrail-failure "Direct link to Traced Guardrail Failure")
+
+
+
+### `/guardrails/list` [](https://docs.litellm.ai/release_notes/tags/logging\#guardrailslist "Direct link to guardrailslist")
+
+`/guardrails/list` allows clients to view available guardrails + supported guardrail params
+
+```codeBlockLines_e6Vv
+curl -X GET 'http://0.0.0.0:4000/guardrails/list'
+
+```
+
+Expected response
+
+```codeBlockLines_e6Vv
+{
+ "guardrails": [\
+ {\
+ "guardrail_name": "aporia-post-guard",\
+ "guardrail_info": {\
+ "params": [\
+ {\
+ "name": "toxicity_score",\
+ "type": "float",\
+ "description": "Score between 0-1 indicating content toxicity level"\
+ },\
+ {\
+ "name": "pii_detection",\
+ "type": "boolean"\
+ }\
+ ]\
+ }\
+ }\
+ ]
+}
+
+```
+
+### ✨ Guardrails with Mock LLM [](https://docs.litellm.ai/release_notes/tags/logging\#-guardrails-with-mock-llm "Direct link to ✨ Guardrails with Mock LLM")
+
+Send `mock_response` to test guardrails without making an LLM call. More info on `mock_response` [here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+```codeBlockLines_e6Vv
+curl -i http://localhost:4000/v1/chat/completions \
+ -H "Content-Type: application/json" \
+ -H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
+ -d '{
+ "model": "gpt-3.5-turbo",
+ "messages": [\
+ {"role": "user", "content": "hi my email is ishaan@berri.ai"}\
+ ],
+ "mock_response": "This is a mock response",
+ "guardrails": ["aporia-pre-guard", "aporia-post-guard"]
+ }'
+
+```
+
+### Assign Keys to Users [](https://docs.litellm.ai/release_notes/tags/logging\#assign-keys-to-users "Direct link to Assign Keys to Users")
+
+You can now assign keys to users via Proxy UI
+
+
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/logging\#new-models "Direct link to New Models")
+
+- `openrouter/openai/o1`
+- `vertex_ai/mistral-large@2411`
+
+## Fixes [](https://docs.litellm.ai/release_notes/tags/logging\#fixes "Direct link to Fixes")
+
+- Fix `vertex_ai/` mistral model pricing: [https://github.com/BerriAI/litellm/pull/7345](https://github.com/BerriAI/litellm/pull/7345)
+- Missing model\_group field in logs for aspeech call types [https://github.com/BerriAI/litellm/pull/7392](https://github.com/BerriAI/litellm/pull/7392)
+
+`key management`, `budgets/rate limits`, `logging`, `guardrails`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## ✨ Budget / Rate Limit Tiers [](https://docs.litellm.ai/release_notes/tags/logging\#-budget--rate-limit-tiers "Direct link to ✨ Budget / Rate Limit Tiers")
+
+Define tiers with rate limits. Assign them to keys.
+
+Use this to control access and budgets across a lot of keys.
+
+**[Start here](https://docs.litellm.ai/docs/proxy/rate_limit_tiers)**
+
+```codeBlockLines_e6Vv
+curl -L -X POST 'http://0.0.0.0:4000/budget/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+ "budget_id": "high-usage-tier",
+ "model_max_budget": {
+ "gpt-4o": {"rpm_limit": 1000000}
+ }
+}'
+
+```
+
+## OTEL Bug Fix [](https://docs.litellm.ai/release_notes/tags/logging\#otel-bug-fix "Direct link to OTEL Bug Fix")
+
+LiteLLM was double logging litellm\_request span. This is now fixed.
+
+[Relevant PR](https://github.com/BerriAI/litellm/pull/7435)
+
+## Logging for Finetuning Endpoints [](https://docs.litellm.ai/release_notes/tags/logging\#logging-for-finetuning-endpoints "Direct link to Logging for Finetuning Endpoints")
+
+Logs for finetuning requests are now available on all logging providers (e.g. Datadog).
+
+What's logged per request:
+
+- file\_id
+- finetuning\_job\_id
+- any key/team metadata
+
+**Start Here:**
+
+- [Setup Finetuning](https://docs.litellm.ai/docs/fine_tuning)
+- [Setup Logging](https://docs.litellm.ai/docs/proxy/logging#datadog)
+
+## Dynamic Params for Guardrails [](https://docs.litellm.ai/release_notes/tags/logging\#dynamic-params-for-guardrails "Direct link to Dynamic Params for Guardrails")
+
+You can now set custom parameters (like success threshold) for your guardrails in each request.
+
+[See guardrails spec for more details](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#-pass-additional-parameters-to-guardrail)
+
+## Management Endpoints Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/management-endpoints#__docusaurus_skipToContent_fallback)
+
+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 [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#additional-changes "Direct link to 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.
+
+
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+`langfuse`, `management endpoints`, `ui`, `prometheus`, `secret management`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+Langfuse Prompt Management is being labelled as BETA. This allows us to iterate quickly on the feedback we're receiving, and making the status clearer to users. We expect to make this feature to be stable by next month (February 2025).
+
+Changes:
+
+- Include the client message in the LLM API Request. (Previously only the prompt template was sent, and the client message was ignored).
+- Log the prompt template in the logged request (e.g. to s3/langfuse).
+- Log the 'prompt\_id' and 'prompt\_variables' in the logged request (e.g. to s3/langfuse).
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Team/Organization Management + UI Improvements [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#teamorganization-management--ui-improvements "Direct link to Team/Organization Management + UI Improvements")
+
+Managing teams and organizations on the UI is now easier.
+
+Changes:
+
+- Support for editing user role within team on UI.
+- Support updating team member role to admin via api - `/team/member_update`
+- Show team admins all keys for their team.
+- Add organizations with budgets
+- Assign teams to orgs on the UI
+- Auto-assign SSO users to teams
+
+[Start Here](https://docs.litellm.ai/docs/proxy/self_serve)
+
+## Hashicorp Vault Support [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#hashicorp-vault-support "Direct link to Hashicorp Vault Support")
+
+We now support writing LiteLLM Virtual API keys to Hashicorp Vault.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/vault)
+
+## Custom Prometheus Metrics [](https://docs.litellm.ai/release_notes/tags/management-endpoints\#custom-prometheus-metrics "Direct link to Custom Prometheus Metrics")
+
+Define custom prometheus metrics, and track usage/latency/no. of requests against them
+
+This allows for more fine-grained tracking - e.g. on prompt template passed in request metadata
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## MCP Support Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/mcp#__docusaurus_skipToContent_fallback)
+
+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.
+- **UI view total usage after 1M+ logs**: You can now view usage analytics after crossing 1M+ logs in DB.
+
+## Model Context Protocol (MCP) [](https://docs.litellm.ai/release_notes/tags/mcp\#model-context-protocol-mcp "Direct link to Model Context Protocol (MCP)")
+
+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.
+
+Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
+
+
+
+Expose and use MCP servers through LiteLLM
+
+## UI view total usage after 1M+ logs [](https://docs.litellm.ai/release_notes/tags/mcp\#ui-view-total-usage-after-1m-logs "Direct link to UI view total usage after 1M+ logs")
+
+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.
+
+
+
+View total usage after 1M+ logs
+
+- 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:
+
+
+
+ Daily Spend Breakdown API
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ curl -L -X GET 'http://localhost:4000/user/daily/activity?start_date=2025-03-20&end_date=2025-03-27' \
+ -H 'Authorization: Bearer sk-...'
+
+ ```
+
+
+
+
+
+
+
+
+
+
+
+ Daily Spend Breakdown API Response
+
+
+
+
+
+ ```codeBlockLines_e6Vv codeBlockLinesWithNumbering_o6Pm
+ {
+ "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 [](https://docs.litellm.ai/release_notes/tags/mcp\#new-models--updated-models "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#llm-translation "Direct link to 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)
+- 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)
+- 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#spend-tracking-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#ui "Direct link to UI")
+
+### Model Management [](https://docs.litellm.ai/release_notes/tags/mcp\#model-management "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#request-logs "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#usage-tab "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#logging-integrations "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#performance--reliability-improvements "Direct link to 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)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/mcp\#general-improvements "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#security "Direct link to 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 [](https://docs.litellm.ai/release_notes/tags/mcp\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)
+
+## LiteLLM New Features
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/new-models#__docusaurus_skipToContent_fallback)
+
+`guardrails`, `logging`, `virtual key management`, `new models`
+
+info
+
+Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
+
+**no call needed**
+
+## New Features [](https://docs.litellm.ai/release_notes/tags/new-models\#new-features "Direct link to New Features")
+
+### ✨ Log Guardrail Traces [](https://docs.litellm.ai/release_notes/tags/new-models\#-log-guardrail-traces "Direct link to ✨ Log Guardrail Traces")
+
+Track guardrail failure rate and if a guardrail is going rogue and failing requests. [Start here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+#### Traced Guardrail Success [](https://docs.litellm.ai/release_notes/tags/new-models\#traced-guardrail-success "Direct link to Traced Guardrail Success")
+
+
+
+#### Traced Guardrail Failure [](https://docs.litellm.ai/release_notes/tags/new-models\#traced-guardrail-failure "Direct link to Traced Guardrail Failure")
+
+
+
+### `/guardrails/list` [](https://docs.litellm.ai/release_notes/tags/new-models\#guardrailslist "Direct link to guardrailslist")
+
+`/guardrails/list` allows clients to view available guardrails + supported guardrail params
+
+```codeBlockLines_e6Vv
+curl -X GET 'http://0.0.0.0:4000/guardrails/list'
+
+```
+
+Expected response
+
+```codeBlockLines_e6Vv
+{
+ "guardrails": [\
+ {\
+ "guardrail_name": "aporia-post-guard",\
+ "guardrail_info": {\
+ "params": [\
+ {\
+ "name": "toxicity_score",\
+ "type": "float",\
+ "description": "Score between 0-1 indicating content toxicity level"\
+ },\
+ {\
+ "name": "pii_detection",\
+ "type": "boolean"\
+ }\
+ ]\
+ }\
+ }\
+ ]
+}
+
+```
+
+### ✨ Guardrails with Mock LLM [](https://docs.litellm.ai/release_notes/tags/new-models\#-guardrails-with-mock-llm "Direct link to ✨ Guardrails with Mock LLM")
+
+Send `mock_response` to test guardrails without making an LLM call. More info on `mock_response` [here](https://docs.litellm.ai/docs/proxy/guardrails/quick_start)
+
+```codeBlockLines_e6Vv
+curl -i http://localhost:4000/v1/chat/completions \
+ -H "Content-Type: application/json" \
+ -H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
+ -d '{
+ "model": "gpt-3.5-turbo",
+ "messages": [\
+ {"role": "user", "content": "hi my email is ishaan@berri.ai"}\
+ ],
+ "mock_response": "This is a mock response",
+ "guardrails": ["aporia-pre-guard", "aporia-post-guard"]
+ }'
+
+```
+
+### Assign Keys to Users [](https://docs.litellm.ai/release_notes/tags/new-models\#assign-keys-to-users "Direct link to Assign Keys to Users")
+
+You can now assign keys to users via Proxy UI
+
+
+
+## New Models [](https://docs.litellm.ai/release_notes/tags/new-models\#new-models "Direct link to New Models")
+
+- `openrouter/openai/o1`
+- `vertex_ai/mistral-large@2411`
+
+## Fixes [](https://docs.litellm.ai/release_notes/tags/new-models\#fixes "Direct link to Fixes")
+
+- Fix `vertex_ai/` mistral model pricing: [https://github.com/BerriAI/litellm/pull/7345](https://github.com/BerriAI/litellm/pull/7345)
+- Missing model\_group field in logs for aspeech call types [https://github.com/BerriAI/litellm/pull/7392](https://github.com/BerriAI/litellm/pull/7392)
+
+A new LiteLLM Stable release [just went out](https://github.com/BerriAI/litellm/releases/tag/v1.55.8-stable). Here are 5 updates since v1.52.2-stable.
+
+`langfuse`, `fallbacks`, `new models`, `azure_storage`
+
+
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/new-models\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+This makes it easy to run experiments or change the specific models `gpt-4o` to `gpt-4o-mini` on Langfuse, instead of making changes in your applications. [Start here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Control fallback prompts client-side [](https://docs.litellm.ai/release_notes/tags/new-models\#control-fallback-prompts-client-side "Direct link to Control fallback prompts client-side")
+
+> Claude prompts are different than OpenAI
+
+Pass in prompts specific to model when doing fallbacks. [Start here](https://docs.litellm.ai/docs/proxy/reliability#control-fallback-prompts)
+
+## New Providers / Models [](https://docs.litellm.ai/release_notes/tags/new-models\#new-providers--models "Direct link to New Providers / Models")
+
+- [NVIDIA Triton](https://developer.nvidia.com/triton-inference-server) `/infer` endpoint. [Start here](https://docs.litellm.ai/docs/providers/triton-inference-server)
+- [Infinity](https://github.com/michaelfeil/infinity) Rerank Models [Start here](https://docs.litellm.ai/docs/providers/infinity)
+
+## ✨ Azure Data Lake Storage Support [](https://docs.litellm.ai/release_notes/tags/new-models\#-azure-data-lake-storage-support "Direct link to ✨ Azure Data Lake Storage Support")
+
+Send LLM usage (spend, tokens) data to [Azure Data Lake](https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). This makes it easy to consume usage data on other services (eg. Databricks)
+[Start here](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage)
+
+## Docker Run LiteLLM [](https://docs.litellm.ai/release_notes/tags/new-models\#docker-run-litellm "Direct link to Docker Run LiteLLM")
+
+```codeBlockLines_e6Vv
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.55.8-stable
+
+```
+
+## Get Daily Updates [](https://docs.litellm.ai/release_notes/tags/new-models\#get-daily-updates "Direct link to Get Daily Updates")
+
+LiteLLM ships new releases every day. [Follow us on LinkedIn](https://www.linkedin.com/company/berri-ai/) to get daily updates.
+
+## Prometheus Integration Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/prometheus#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/prometheus\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/prometheus\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/prometheus\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/prometheus\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+`langfuse`, `management endpoints`, `ui`, `prometheus`, `secret management`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/prometheus\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+Langfuse Prompt Management is being labelled as BETA. This allows us to iterate quickly on the feedback we're receiving, and making the status clearer to users. We expect to make this feature to be stable by next month (February 2025).
+
+Changes:
+
+- Include the client message in the LLM API Request. (Previously only the prompt template was sent, and the client message was ignored).
+- Log the prompt template in the logged request (e.g. to s3/langfuse).
+- Log the 'prompt\_id' and 'prompt\_variables' in the logged request (e.g. to s3/langfuse).
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Team/Organization Management + UI Improvements [](https://docs.litellm.ai/release_notes/tags/prometheus\#teamorganization-management--ui-improvements "Direct link to Team/Organization Management + UI Improvements")
+
+Managing teams and organizations on the UI is now easier.
+
+Changes:
+
+- Support for editing user role within team on UI.
+- Support updating team member role to admin via api - `/team/member_update`
+- Show team admins all keys for their team.
+- Add organizations with budgets
+- Assign teams to orgs on the UI
+- Auto-assign SSO users to teams
+
+[Start Here](https://docs.litellm.ai/docs/proxy/self_serve)
+
+## Hashicorp Vault Support [](https://docs.litellm.ai/release_notes/tags/prometheus\#hashicorp-vault-support "Direct link to Hashicorp Vault Support")
+
+We now support writing LiteLLM Virtual API keys to Hashicorp Vault.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/vault)
+
+## Custom Prometheus Metrics [](https://docs.litellm.ai/release_notes/tags/prometheus\#custom-prometheus-metrics "Direct link to Custom Prometheus Metrics")
+
+Define custom prometheus metrics, and track usage/latency/no. of requests against them
+
+This allows for more fine-grained tracking - e.g. on prompt template passed in request metadata
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## Prompt Management Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/prompt-management#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/prompt-management\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/prompt-management\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/prompt-management\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/prompt-management\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/prompt-management\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+## LLM Translation Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/reasoning-content#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.61.20-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (more `thinking` content improvements)
+- UI improvements (Error logs now shown on UI)
+
+info
+
+This release will be live on 03/09/2025
+
+
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Add `supports_pdf_input` for specific Bedrock Claude models [PR](https://github.com/BerriAI/litellm/commit/f63cf0030679fe1a43d03fb196e815a0f28dae92)
+2. Add pricing for amazon `eu` models [PR](https://github.com/BerriAI/litellm/commits/main/model_prices_and_context_window.json)
+3. Fix Azure O1 mini pricing [PR](https://github.com/BerriAI/litellm/commit/52de1949ef2f76b8572df751f9c868a016d4832c)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#llm-translation "Direct link to LLM Translation")
+
+
+
+01. Support `/openai/` passthrough for Assistant endpoints. [Get Started](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+02. Bedrock Claude - fix tool calling transformation on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---function-calling--tool-calling)
+03. Bedrock Claude - response\_format support for claude on invoke route. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+04. Bedrock - pass `description` if set in response\_format. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---structured-output--json-mode)
+05. Bedrock - Fix passing response\_format: {"type": "text"}. [PR](https://github.com/BerriAI/litellm/commit/c84b489d5897755139aa7d4e9e54727ebe0fa540)
+06. OpenAI - Handle sending image\_url as str to openai. [Get Started](https://docs.litellm.ai/docs/completion/vision)
+07. Deepseek - return 'reasoning\_content' missing on streaming. [Get Started](https://docs.litellm.ai/docs/reasoning_content)
+08. Caching - Support caching on reasoning content. [Get Started](https://docs.litellm.ai/docs/proxy/caching)
+09. Bedrock - handle thinking blocks in assistant message. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+10. Anthropic - Return `signature` on streaming. [Get Started](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+
+- Note: We've also migrated from `signature_delta` to `signature`. [Read more](https://docs.litellm.ai/release_notes/v1.63.0)
+
+11. Support format param for specifying image type. [Get Started](https://docs.litellm.ai/docs/completion/vision.md#explicitly-specify-image-type)
+12. Anthropic - `/v1/messages` endpoint - `thinking` param support. [Get Started](https://docs.litellm.ai/docs/anthropic_unified.md)
+
+- Note: this refactors the \[BETA\] unified `/v1/messages` endpoint, to just work for the Anthropic API.
+
+13. Vertex AI - handle $id in response schema when calling vertex ai. [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Batches API - Fix cost calculation to run on retrieve\_batch. [Get Started](https://docs.litellm.ai/docs/batches)
+2. Batches API - Log batch models in spend logs / standard logging payload. [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec.md#standardlogginghiddenparams)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+
+
+1. Virtual Keys Page
+ - Allow team/org filters to be searchable on the Create Key Page
+ - Add created\_by and updated\_by fields to Keys table
+ - Show 'user\_email' on key table
+ - Show 100 Keys Per Page, Use full height, increase width of key alias
+2. Logs Page
+ - Show Error Logs on LiteLLM UI
+ - Allow Internal Users to View their own logs
+3. Internal Users Page
+ - Allow admin to control default model access for internal users
+4. Fix session handling with cookies
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Fix prometheus metrics w/ custom metrics, when keys containing team\_id make requests. [PR](https://github.com/BerriAI/litellm/pull/8935)
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Cooldowns - Support cooldowns on models called with client side credentials. [Get Started](https://docs.litellm.ai/docs/proxy/clientside_auth#pass-user-llm-api-keys--api-base)
+2. Tag-based Routing - ensures tag-based routing across all endpoints ( `/embeddings`, `/image_generation`, etc.). [Get Started](https://docs.litellm.ai/docs/proxy/tag_routing)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Raise BadRequestError when unknown model passed in request
+2. Enforce model access restrictions on Azure OpenAI proxy route
+3. Reliability fix - Handle emoji’s in text - fix orjson error
+4. Model Access Patch - don't overwrite litellm.anthropic\_models when running auth checks
+5. Enable setting timezone information in docker image
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.61.20-stable...v1.63.2-stable)
+
+v1.63.0 fixes Anthropic 'thinking' response on streaming to return the `signature` block. [Github Issue](https://github.com/BerriAI/litellm/issues/8964)
+
+It also moves the response structure from `signature_delta` to `signature` to be the same as Anthropic. [Anthropic Docs](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#implementing-extended-thinking)
+
+## Diff [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#diff "Direct link to Diff")
+
+```codeBlockLines_e6Vv
+"message": {
+ ...
+ "reasoning_content": "The capital of France is Paris.",
+ "thinking_blocks": [\
+ {\
+ "type": "thinking",\
+ "thinking": "The capital of France is Paris.",\
+- "signature_delta": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 OLD FORMAT\
++ "signature": "EqoBCkgIARABGAIiQL2UoU0b1OHYi+..." # 👈 KEY CHANGE\
+ }\
+ ]
+}
+
+```
+
+These are the changes since `v1.61.13-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (claude-3-7-sonnet + 'thinking'/'reasoning\_content' support)
+- UI improvements (add model flow, user management, etc)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Anthropic 3-7 sonnet support + cost tracking (Anthropic API + Bedrock + Vertex AI + OpenRouter)
+1. Anthropic API [Start here](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+2. Bedrock API [Start here](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+3. Vertex AI API [See here](https://docs.litellm.ai/docs/providers/vertex#usage---thinking--reasoning_content)
+4. OpenRouter [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L5626)
+2. Gpt-4.5-preview support + cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L79)
+3. Azure AI - Phi-4 cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L1773)
+4. Claude-3.5-sonnet - vision support updated on Anthropic API [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2888)
+5. Bedrock llama vision support [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L7714)
+6. Cerebras llama3.3-70b pricing [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2697)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#llm-translation "Direct link to LLM Translation")
+
+1. Infinity Rerank - support returning documents when return\_documents=True [Start here](https://docs.litellm.ai/docs/providers/infinity#usage---returning-documents)
+2. Amazon Deepseek - `` param extraction into ‘reasoning\_content’ [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-imported-models-deepseek-deepseek-r1)
+3. Amazon Titan Embeddings - filter out ‘aws\_’ params from request body [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-embedding)
+4. Anthropic ‘thinking’ + ‘reasoning\_content’ translation support (Anthropic API, Bedrock, Vertex AI) [Start here](https://docs.litellm.ai/docs/reasoning_content)
+5. VLLM - support ‘video\_url’ [Start here](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm)
+6. Call proxy via litellm SDK: Support `litellm_proxy/` for embedding, image\_generation, transcription, speech, rerank [Start here](https://docs.litellm.ai/docs/providers/litellm_proxy)
+7. OpenAI Pass-through - allow using Assistants GET, DELETE on /openai pass through routes [Start here](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+8. Message Translation - fix openai message for assistant msg if role is missing - openai allows this
+9. O1/O3 - support ‘drop\_params’ for o3-mini and o1 parallel\_tool\_calls param (not supported currently) [See here](https://docs.litellm.ai/docs/completion/drop_params)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Cost tracking for rerank via Bedrock [See PR](https://github.com/BerriAI/litellm/commit/b682dc4ec8fd07acf2f4c981d2721e36ae2a49c5)
+2. Anthropic pass-through - fix race condition causing cost to not be tracked [See PR](https://github.com/BerriAI/litellm/pull/8874)
+3. Anthropic pass-through: Ensure accurate token counting [See PR](https://github.com/BerriAI/litellm/pull/8880)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. Models Page - Allow sorting models by ‘created at’
+02. Models Page - Edit Model Flow Improvements
+03. Models Page - Fix Adding Azure, Azure AI Studio models on UI
+04. Internal Users Page - Allow Bulk Adding Internal Users on UI
+05. Internal Users Page - Allow sorting users by ‘created at’
+06. Virtual Keys Page - Allow searching for UserIDs on the dropdown when assigning a user to a team [See PR](https://github.com/BerriAI/litellm/pull/8844)
+07. Virtual Keys Page - allow creating a user when assigning keys to users [See PR](https://github.com/BerriAI/litellm/pull/8844)
+08. Model Hub Page - fix text overflow issue [See PR](https://github.com/BerriAI/litellm/pull/8749)
+09. Admin Settings Page - Allow adding MSFT SSO on UI
+10. Backend - don't allow creating duplicate internal users in DB
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#helm "Direct link to Helm")
+
+1. support ttlSecondsAfterFinished on the migration job - [See PR](https://github.com/BerriAI/litellm/pull/8593)
+2. enhance migrations job with additional configurable properties - [See PR](https://github.com/BerriAI/litellm/pull/8636)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Arize Phoenix support
+2. ‘No-log’ - fix ‘no-log’ param support on embedding calls
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Single Deployment Cooldown logic - Use allowed\_fails or allowed\_fail\_policy if set [Start here](https://docs.litellm.ai/docs/routing#advanced-custom-retries-cooldowns-based-on-error-type)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Hypercorn - fix reading / parsing request body
+2. Windows - fix running proxy in windows
+3. DD-Trace - fix dd-trace enablement on proxy
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/reasoning-content\#complete-git-diff "Direct link to Complete Git Diff")
+
+View the complete git diff [here](https://github.com/BerriAI/litellm/compare/v1.61.13-stable...v1.61.20-stable).
+
+## Release Notes Overview
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/rerank#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.61.13-stable`.
+
+This release is primarily focused on:
+
+- LLM Translation improvements (claude-3-7-sonnet + 'thinking'/'reasoning\_content' support)
+- UI improvements (add model flow, user management, etc)
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/rerank\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/rerank\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+1. Anthropic 3-7 sonnet support + cost tracking (Anthropic API + Bedrock + Vertex AI + OpenRouter)
+1. Anthropic API [Start here](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content)
+2. Bedrock API [Start here](https://docs.litellm.ai/docs/providers/bedrock#usage---thinking--reasoning-content)
+3. Vertex AI API [See here](https://docs.litellm.ai/docs/providers/vertex#usage---thinking--reasoning_content)
+4. OpenRouter [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L5626)
+2. Gpt-4.5-preview support + cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L79)
+3. Azure AI - Phi-4 cost tracking [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L1773)
+4. Claude-3.5-sonnet - vision support updated on Anthropic API [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2888)
+5. Bedrock llama vision support [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L7714)
+6. Cerebras llama3.3-70b pricing [See here](https://github.com/BerriAI/litellm/blob/ba5bdce50a0b9bc822de58c03940354f19a733ed/model_prices_and_context_window.json#L2697)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/rerank\#llm-translation "Direct link to LLM Translation")
+
+1. Infinity Rerank - support returning documents when return\_documents=True [Start here](https://docs.litellm.ai/docs/providers/infinity#usage---returning-documents)
+2. Amazon Deepseek - `` param extraction into ‘reasoning\_content’ [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-imported-models-deepseek-deepseek-r1)
+3. Amazon Titan Embeddings - filter out ‘aws\_’ params from request body [Start here](https://docs.litellm.ai/docs/providers/bedrock#bedrock-embedding)
+4. Anthropic ‘thinking’ + ‘reasoning\_content’ translation support (Anthropic API, Bedrock, Vertex AI) [Start here](https://docs.litellm.ai/docs/reasoning_content)
+5. VLLM - support ‘video\_url’ [Start here](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm)
+6. Call proxy via litellm SDK: Support `litellm_proxy/` for embedding, image\_generation, transcription, speech, rerank [Start here](https://docs.litellm.ai/docs/providers/litellm_proxy)
+7. OpenAI Pass-through - allow using Assistants GET, DELETE on /openai pass through routes [Start here](https://docs.litellm.ai/docs/pass_through/openai_passthrough)
+8. Message Translation - fix openai message for assistant msg if role is missing - openai allows this
+9. O1/O3 - support ‘drop\_params’ for o3-mini and o1 parallel\_tool\_calls param (not supported currently) [See here](https://docs.litellm.ai/docs/completion/drop_params)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/rerank\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Cost tracking for rerank via Bedrock [See PR](https://github.com/BerriAI/litellm/commit/b682dc4ec8fd07acf2f4c981d2721e36ae2a49c5)
+2. Anthropic pass-through - fix race condition causing cost to not be tracked [See PR](https://github.com/BerriAI/litellm/pull/8874)
+3. Anthropic pass-through: Ensure accurate token counting [See PR](https://github.com/BerriAI/litellm/pull/8880)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/rerank\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+01. Models Page - Allow sorting models by ‘created at’
+02. Models Page - Edit Model Flow Improvements
+03. Models Page - Fix Adding Azure, Azure AI Studio models on UI
+04. Internal Users Page - Allow Bulk Adding Internal Users on UI
+05. Internal Users Page - Allow sorting users by ‘created at’
+06. Virtual Keys Page - Allow searching for UserIDs on the dropdown when assigning a user to a team [See PR](https://github.com/BerriAI/litellm/pull/8844)
+07. Virtual Keys Page - allow creating a user when assigning keys to users [See PR](https://github.com/BerriAI/litellm/pull/8844)
+08. Model Hub Page - fix text overflow issue [See PR](https://github.com/BerriAI/litellm/pull/8749)
+09. Admin Settings Page - Allow adding MSFT SSO on UI
+10. Backend - don't allow creating duplicate internal users in DB
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/rerank\#helm "Direct link to Helm")
+
+1. support ttlSecondsAfterFinished on the migration job - [See PR](https://github.com/BerriAI/litellm/pull/8593)
+2. enhance migrations job with additional configurable properties - [See PR](https://github.com/BerriAI/litellm/pull/8636)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/rerank\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+1. Arize Phoenix support
+2. ‘No-log’ - fix ‘no-log’ param support on embedding calls
+
+## Performance / Loadbalancing / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/rerank\#performance--loadbalancing--reliability-improvements "Direct link to Performance / Loadbalancing / Reliability improvements")
+
+1. Single Deployment Cooldown logic - Use allowed\_fails or allowed\_fail\_policy if set [Start here](https://docs.litellm.ai/docs/routing#advanced-custom-retries-cooldowns-based-on-error-type)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/rerank\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Hypercorn - fix reading / parsing request body
+2. Windows - fix running proxy in windows
+3. DD-Trace - fix dd-trace enablement on proxy
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/rerank\#complete-git-diff "Direct link to Complete Git Diff")
+
+View the complete git diff [here](https://github.com/BerriAI/litellm/compare/v1.61.13-stable...v1.61.20-stable).
+
+## Responses API Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/responses-api#__docusaurus_skipToContent_fallback)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes/tags/responses-api\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.67.4-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.67.4.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/responses-api\#key-highlights "Direct link to Key Highlights")
+
+- **Improved User Management**: This release enables search and filtering across users, keys, teams, and models.
+- **Responses API Load Balancing**: Route requests across provider regions and ensure session continuity.
+- **UI Session Logs**: Group several requests to LiteLLM into a session.
+
+## Improved User Management [](https://docs.litellm.ai/release_notes/tags/responses-api\#improved-user-management "Direct link to Improved User Management")
+
+
+
+This release makes it easier to manage users and keys on LiteLLM. You can now search and filter across users, keys, teams, and models, and control user settings more easily.
+
+New features include:
+
+- Search for users by email, ID, role, or team.
+- See all of a user's models, teams, and keys in one place.
+- Change user roles and model access right from the Users Tab.
+
+These changes help you spend less time on user setup and management on LiteLLM.
+
+## Responses API Load Balancing [](https://docs.litellm.ai/release_notes/tags/responses-api\#responses-api-load-balancing "Direct link to Responses API Load Balancing")
+
+
+
+This release introduces load balancing for the Responses API, allowing you to route requests across provider regions and ensure session continuity. It works as follows:
+
+- If a `previous_response_id` is provided, LiteLLM will route the request to the original deployment that generated the prior response — ensuring session continuity.
+- If no `previous_response_id` is provided, LiteLLM will load-balance requests across your available deployments.
+
+[Read more](https://docs.litellm.ai/docs/response_api#load-balancing-with-session-continuity)
+
+## UI Session Logs [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui-session-logs "Direct link to UI Session Logs")
+
+
+
+This release allow you to group requests to LiteLLM proxy into a session. If you specify a litellm\_session\_id in your request LiteLLM will automatically group all logs in the same session. This allows you to easily track usage and request content per session.
+
+[Read more](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/responses-api\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. Added `gpt-image-1` cost tracking [Get Started](https://docs.litellm.ai/docs/image_generation)
+2. Bug fix: added cost tracking for gpt-image-1 when quality is unspecified [PR](https://github.com/BerriAI/litellm/pull/10247)
+- **Azure**
+1. Fixed timestamp granularities passing to whisper in Azure [Get Started](https://docs.litellm.ai/docs/audio_transcription)
+2. Added azure/gpt-image-1 pricing [Get Started](https://docs.litellm.ai/docs/image_generation), [PR](https://github.com/BerriAI/litellm/pull/10327)
+3. Added cost tracking for `azure/computer-use-preview`, `azure/gpt-4o-audio-preview-2024-12-17`, `azure/gpt-4o-mini-audio-preview-2024-12-17` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Bedrock**
+1. Added support for all compatible Bedrock parameters when model="arn:.." (Bedrock application inference profile models) [Get started](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile), [PR](https://github.com/BerriAI/litellm/pull/10256)
+2. Fixed wrong system prompt transformation [PR](https://github.com/BerriAI/litellm/pull/10120)
+- **VertexAI / Google AI Studio**
+1. Allow setting `budget_tokens=0` for `gemini-2.5-flash` [Get Started](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10198)
+2. Ensure returned `usage` includes thinking token usage [PR](https://github.com/BerriAI/litellm/pull/10198)
+3. Added cost tracking for `gemini-2.5-pro-preview-03-25` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Cohere**
+1. Added support for cohere command-a-03-2025 [Get Started](https://docs.litellm.ai/docs/providers/cohere), [PR](https://github.com/BerriAI/litellm/pull/10295)
+- **SageMaker**
+1. Added support for max\_completion\_tokens parameter [Get Started](https://docs.litellm.ai/docs/providers/sagemaker), [PR](https://github.com/BerriAI/litellm/pull/10300)
+- **Responses API**
+1. Added support for GET and DELETE operations - `/v1/responses/{response_id}` [Get Started](https://docs.litellm.ai/docs/response_api)
+2. Added session management support for non-OpenAI models [PR](https://github.com/BerriAI/litellm/pull/10321)
+3. Added routing affinity to maintain model consistency within sessions [Get Started](https://docs.litellm.ai/docs/response_api#load-balancing-with-routing-affinity), [PR](https://github.com/BerriAI/litellm/pull/10193)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Bug Fix**: Fixed spend tracking bug, ensuring default litellm params aren't modified in memory [PR](https://github.com/BerriAI/litellm/pull/10167)
+- **Deprecation Dates**: Added deprecation dates for Azure, VertexAI models [PR](https://github.com/BerriAI/litellm/pull/10308)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/responses-api\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+#### Users [](https://docs.litellm.ai/release_notes/tags/responses-api\#users "Direct link to Users")
+
+- **Filtering and Searching**:
+
+
+ - Filter users by user\_id, role, team, sso\_id
+ - Search users by email
+
+
+
+- **User Info Panel**: Added a new user information pane [PR](https://github.com/BerriAI/litellm/pull/10213)
+
+ - View teams, keys, models associated with User
+ - Edit user role, model permissions
+
+#### Teams [](https://docs.litellm.ai/release_notes/tags/responses-api\#teams "Direct link to Teams")
+
+- **Filtering and Searching**:
+
+
+ - Filter teams by Organization, Team ID [PR](https://github.com/BerriAI/litellm/pull/10324)
+ - Search teams by Team Name [PR](https://github.com/BerriAI/litellm/pull/10324)
+
+
+
+#### Keys [](https://docs.litellm.ai/release_notes/tags/responses-api\#keys "Direct link to Keys")
+
+- **Key Management**:
+ - Support for cross-filtering and filtering by key hash [PR](https://github.com/BerriAI/litellm/pull/10322)
+ - Fixed key alias reset when resetting filters [PR](https://github.com/BerriAI/litellm/pull/10099)
+ - Fixed table rendering on key creation [PR](https://github.com/BerriAI/litellm/pull/10224)
+
+#### UI Logs Page [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui-logs-page "Direct link to UI Logs Page")
+
+- **Session Logs**: Added UI Session Logs [Get Started](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+#### UI Authentication & Security [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui-authentication--security "Direct link to UI Authentication & Security")
+
+- **Required Authentication**: Authentication now required for all dashboard pages [PR](https://github.com/BerriAI/litellm/pull/10229)
+- **SSO Fixes**: Fixed SSO user login invalid token error [PR](https://github.com/BerriAI/litellm/pull/10298)
+- \[BETA\] **Encrypted Tokens**: Moved UI to encrypted token usage [PR](https://github.com/BerriAI/litellm/pull/10302)
+- **Token Expiry**: Support token refresh by re-routing to login page (fixes issue where expired token would show a blank page) [PR](https://github.com/BerriAI/litellm/pull/10250)
+
+#### UI General fixes [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui-general-fixes "Direct link to UI General fixes")
+
+- **Fixed UI Flicker**: Addressed UI flickering issues in Dashboard [PR](https://github.com/BerriAI/litellm/pull/10261)
+- **Improved Terminology**: Better loading and no-data states on Keys and Tools pages [PR](https://github.com/BerriAI/litellm/pull/10253)
+- **Azure Model Support**: Fixed editing Azure public model names and changing model names after creation [PR](https://github.com/BerriAI/litellm/pull/10249)
+- **Team Model Selector**: Bug fix for team model selection [PR](https://github.com/BerriAI/litellm/pull/10171)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/responses-api\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **Datadog**:
+1. Fixed Datadog LLM observability logging [Get Started](https://docs.litellm.ai/docs/proxy/logging#datadog), [PR](https://github.com/BerriAI/litellm/pull/10206)
+- **Prometheus / Grafana**:
+1. Enable datasource selection on LiteLLM Grafana Template [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#-litellm-maintained-grafana-dashboards-), [PR](https://github.com/BerriAI/litellm/pull/10257)
+- **AgentOps**:
+1. Added AgentOps Integration [Get Started](https://docs.litellm.ai/docs/observability/agentops_integration), [PR](https://github.com/BerriAI/litellm/pull/9685)
+- **Arize**:
+1. Added missing attributes for Arize & Phoenix Integration [Get Started](https://docs.litellm.ai/docs/observability/arize_integration), [PR](https://github.com/BerriAI/litellm/pull/10215)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Caching**: Fixed caching to account for `thinking` or `reasoning_effort` when calculating cache key [PR](https://github.com/BerriAI/litellm/pull/10140)
+- **Model Groups**: Fixed handling for cases where user sets model\_group inside model\_info [PR](https://github.com/BerriAI/litellm/pull/10191)
+- **Passthrough Endpoints**: Ensured `PassthroughStandardLoggingPayload` is logged with method, URL, request/response body [PR](https://github.com/BerriAI/litellm/pull/10194)
+- **Fix SQL Injection**: Fixed potential SQL injection vulnerability in spend\_management\_endpoints.py [PR](https://github.com/BerriAI/litellm/pull/9878)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/responses-api\#helm "Direct link to Helm")
+
+- Fixed serviceAccountName on migration job [PR](https://github.com/BerriAI/litellm/pull/10258)
+
+## Full Changelog [](https://docs.litellm.ai/release_notes/tags/responses-api\#full-changelog "Direct link to Full Changelog")
+
+The complete list of changes can be found in the [GitHub release notes](https://github.com/BerriAI/litellm/compare/v1.67.0-stable...v1.67.4-stable).
+
+These are the changes since `v1.63.11-stable`.
+
+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 [](https://docs.litellm.ai/release_notes/tags/responses-api\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.14-stable.patch1
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/responses-api\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/responses-api\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Azure gpt-4o - fixed pricing to latest global pricing - [PR](https://github.com/BerriAI/litellm/pull/9361)
+- O1-Pro - add pricing + model information - [PR](https://github.com/BerriAI/litellm/pull/9397)
+- Azure AI - mistral 3.1 small pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+- Azure - gpt-4.5-preview pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/responses-api\#llm-translation "Direct link to LLM Translation")
+
+1. **New LLM Features**
+
+- Bedrock: Support bedrock application inference profiles [Docs](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile)
+ - Infer aws region from bedrock application profile id - ( `arn:aws:bedrock:us-east-1:...`)
+- Ollama - support calling via `/v1/completions` [Get Started](https://docs.litellm.ai/docs/providers/ollama#using-ollama-fim-on-v1completions)
+- Bedrock - support `us.deepseek.r1-v1:0` model name [Docs](https://docs.litellm.ai/docs/providers/bedrock#supported-aws-bedrock-models)
+- OpenRouter - `OPENROUTER_API_BASE` env var support [Docs](https://docs.litellm.ai/docs/providers/openrouter.md)
+- Azure - add audio model parameter support - [Docs](https://docs.litellm.ai/docs/providers/azure#azure-audio-model)
+- OpenAI - PDF File support [Docs](https://docs.litellm.ai/docs/completion/document_understanding#openai-file-message-type)
+- OpenAI - o1-pro Responses API streaming support [Docs](https://docs.litellm.ai/docs/response_api.md#streaming)
+- \[BETA\] MCP - Use MCP Tools with LiteLLM SDK [Docs](https://docs.litellm.ai/docs/mcp)
+
+2. **Bug Fixes**
+
+- Voyage: prompt token on embedding tracking fix - [PR](https://github.com/BerriAI/litellm/commit/56d3e75b330c3c3862dc6e1c51c1210e48f1068e)
+- Sagemaker - Fix ‘Too little data for declared Content-Length’ error - [PR](https://github.com/BerriAI/litellm/pull/9326)
+- OpenAI-compatible models - fix issue when calling openai-compatible models w/ custom\_llm\_provider set - [PR](https://github.com/BerriAI/litellm/pull/9355)
+- VertexAI - Embedding ‘outputDimensionality’ support - [PR](https://github.com/BerriAI/litellm/commit/437dbe724620675295f298164a076cbd8019d304)
+- Anthropic - return consistent json response format on streaming/non-streaming - [PR](https://github.com/BerriAI/litellm/pull/9437)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- `litellm_proxy/` \- support reading litellm response cost header from proxy, when using client sdk
+- Reset Budget Job - fix budget reset error on keys/teams/users [PR](https://github.com/BerriAI/litellm/pull/9329)
+- Streaming - Prevents final chunk w/ usage from being ignored (impacted bedrock streaming + cost tracking) [PR](https://github.com/BerriAI/litellm/pull/9314)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui "Direct link to UI")
+
+1. Users Page
+ - Feature: Control default internal user settings [PR](https://github.com/BerriAI/litellm/pull/9328)
+2. Icons:
+ - Feature: Replace external "artificialanalysis.ai" icons by local svg [PR](https://github.com/BerriAI/litellm/pull/9374)
+3. Sign In/Sign Out
+ - Fix: Default login when `default_user_id` user does not exist in DB [PR](https://github.com/BerriAI/litellm/pull/9395)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/responses-api\#logging-integrations "Direct link to Logging Integrations")
+
+- Support post-call guardrails for streaming responses [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#1-write-a-customguardrail-class)
+- Arize [Get Started](https://docs.litellm.ai/docs/observability/arize_integration)
+ - fix invalid package import [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - migrate to using standardloggingpayload for metadata, ensures spans land successfully [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - fix logging to just log the LLM I/O [PR](https://github.com/BerriAI/litellm/pull/9353)
+ - Dynamic API Key/Space param support [Get Started](https://docs.litellm.ai/docs/observability/arize_integration#pass-arize-spacekey-per-request)
+- StandardLoggingPayload - Log litellm\_model\_name in payload. Allows knowing what the model sent to API provider was [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardlogginghiddenparams)
+- Prompt Management - Allow building custom prompt management integration [Get Started](https://docs.litellm.ai/docs/proxy/custom_prompt_management.md)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+- Redis Caching - add 5s default timeout, prevents hanging redis connection from impacting llm calls [PR](https://github.com/BerriAI/litellm/commit/db92956ae33ed4c4e3233d7e1b0c7229817159bf)
+- Allow disabling all spend updates / writes to DB - patch to allow disabling all spend updates to DB with a flag [PR](https://github.com/BerriAI/litellm/pull/9331)
+- Azure OpenAI - correctly re-use azure openai client, fixes perf issue from previous Stable release [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Azure OpenAI - uses litellm.ssl\_verify on Azure/OpenAI clients [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Usage-based routing - Wildcard model support [Get Started](https://docs.litellm.ai/docs/proxy/usage_based_routing#wildcard-model-support)
+- Usage-based routing - Support batch writing increments to redis - reduces latency to same as ‘simple-shuffle’ [PR](https://github.com/BerriAI/litellm/pull/9357)
+- Router - show reason for model cooldown on ‘no healthy deployments available error’ [PR](https://github.com/BerriAI/litellm/pull/9438)
+- Caching - add max value limit to an item in in-memory cache (1MB) - prevents OOM errors on large image url’s being sent through proxy [PR](https://github.com/BerriAI/litellm/pull/9448)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#general-improvements "Direct link to General Improvements")
+
+- Passthrough Endpoints - support returning api-base on pass-through endpoints Response Headers [Docs](https://docs.litellm.ai/docs/proxy/response_headers#litellm-specific-headers)
+- SSL - support reading ssl security level from env var - Allows user to specify lower security settings [Get Started](https://docs.litellm.ai/docs/guides/security_settings)
+- Credentials - only poll Credentials table when `STORE_MODEL_IN_DB` is True [PR](https://github.com/BerriAI/litellm/pull/9376)
+- Image URL Handling - new architecture doc on image url handling [Docs](https://docs.litellm.ai/docs/proxy/image_handling)
+- OpenAI - bump to pip install "openai==1.68.2" [PR](https://github.com/BerriAI/litellm/commit/e85e3bc52a9de86ad85c3dbb12d87664ee567a5a)
+- Gunicorn - security fix - bump gunicorn==23.0.0 [PR](https://github.com/BerriAI/litellm/commit/7e9fc92f5c7fea1e7294171cd3859d55384166eb)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/responses-api\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.11-stable...v1.63.14.rc)
+
+These are the changes since `v1.63.2-stable`.
+
+This release is primarily focused on:
+
+- \[Beta\] Responses API Support
+- Snowflake Cortex Support, Amazon Nova Image Generation
+- UI - Credential Management, re-use credentials when adding new models
+- UI - Test Connection to LLM Provider before adding a model
+
+## Known Issues [](https://docs.litellm.ai/release_notes/tags/responses-api\#known-issues "Direct link to Known Issues")
+
+- 🚨 Known issue on Azure OpenAI - We don't recommend upgrading if you use Azure OpenAI. This version failed our Azure OpenAI load test
+
+## Docker Run LiteLLM Proxy [](https://docs.litellm.ai/release_notes/tags/responses-api\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.11-stable
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/responses-api\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/responses-api\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Image Generation support for Amazon Nova Canvas [Getting Started](https://docs.litellm.ai/docs/providers/bedrock#image-generation)
+- Add pricing for Jamba new models [PR](https://github.com/BerriAI/litellm/pull/9032/files)
+- Add pricing for Amazon EU models [PR](https://github.com/BerriAI/litellm/pull/9056/files)
+- Add Bedrock Deepseek R1 model pricing [PR](https://github.com/BerriAI/litellm/pull/9108/files)
+- Update Gemini pricing: Gemma 3, Flash 2 thinking update, LearnLM [PR](https://github.com/BerriAI/litellm/pull/9190/files)
+- Mark Cohere Embedding 3 models as Multimodal [PR](https://github.com/BerriAI/litellm/pull/9176/commits/c9a576ce4221fc6e50dc47cdf64ab62736c9da41)
+- Add Azure Data Zone pricing [PR](https://github.com/BerriAI/litellm/pull/9185/files#diff-19ad91c53996e178c1921cbacadf6f3bae20cfe062bd03ee6bfffb72f847ee37)
+ - LiteLLM Tracks cost for `azure/eu` and `azure/us` models
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/responses-api\#llm-translation "Direct link to LLM Translation")
+
+
+
+1. **New Endpoints**
+
+- \[Beta\] POST `/responses` API. [Getting Started](https://docs.litellm.ai/docs/response_api)
+
+2. **New LLM Providers**
+
+- Snowflake Cortex [Getting Started](https://docs.litellm.ai/docs/providers/snowflake)
+
+3. **New LLM Features**
+
+- Support OpenRouter `reasoning_content` on streaming [Getting Started](https://docs.litellm.ai/docs/reasoning_content)
+
+4. **Bug Fixes**
+
+- OpenAI: Return `code`, `param` and `type` on bad request error [More information on litellm exceptions](https://docs.litellm.ai/docs/exception_mapping)
+- Bedrock: Fix converse chunk parsing to only return empty dict on tool use [PR](https://github.com/BerriAI/litellm/pull/9166)
+- Bedrock: Support extra\_headers [PR](https://github.com/BerriAI/litellm/pull/9113)
+- Azure: Fix Function Calling Bug & Update Default API Version to `2025-02-01-preview` [PR](https://github.com/BerriAI/litellm/pull/9191)
+- Azure: Fix AI services URL [PR](https://github.com/BerriAI/litellm/pull/9185)
+- Vertex AI: Handle HTTP 201 status code in response [PR](https://github.com/BerriAI/litellm/pull/9193)
+- Perplexity: Fix incorrect streaming response [PR](https://github.com/BerriAI/litellm/pull/9081)
+- Triton: Fix streaming completions bug [PR](https://github.com/BerriAI/litellm/pull/8386)
+- Deepgram: Support bytes.IO when handling audio files for transcription [PR](https://github.com/BerriAI/litellm/pull/9071)
+- Ollama: Fix "system" role has become unacceptable [PR](https://github.com/BerriAI/litellm/pull/9261)
+- All Providers (Streaming): Fix String `data:` stripped from entire content in streamed responses [PR](https://github.com/BerriAI/litellm/pull/9070)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Support Bedrock converse cache token tracking [Getting Started](https://docs.litellm.ai/docs/completion/prompt_caching)
+2. Cost Tracking for Responses API [Getting Started](https://docs.litellm.ai/docs/response_api)
+3. Fix Azure Whisper cost tracking [Getting Started](https://docs.litellm.ai/docs/audio_transcription)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/responses-api\#ui "Direct link to UI")
+
+### Re-Use Credentials on UI [](https://docs.litellm.ai/release_notes/tags/responses-api\#re-use-credentials-on-ui "Direct link to Re-Use Credentials on UI")
+
+You can now onboard LLM provider credentials on LiteLLM UI. Once these credentials are added you can re-use them when adding new models [Getting Started](https://docs.litellm.ai/docs/proxy/ui_credentials)
+
+
+
+### Test Connections before adding models [](https://docs.litellm.ai/release_notes/tags/responses-api\#test-connections-before-adding-models "Direct link to Test Connections before adding models")
+
+Before adding a model you can test the connection to the LLM provider to verify you have setup your API Base + API Key correctly
+
+
+
+### General UI Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#general-ui-improvements "Direct link to General UI Improvements")
+
+1. Add Models Page
+ - Allow adding Cerebras, Sambanova, Perplexity, Fireworks, Openrouter, TogetherAI Models, Text-Completion OpenAI on Admin UI
+ - Allow adding EU OpenAI models
+ - Fix: Instantly show edit + deletes to models
+2. Keys Page
+ - Fix: Instantly show newly created keys on Admin UI (don't require refresh)
+ - Fix: Allow clicking into Top Keys when showing users Top API Key
+ - Fix: Allow Filter Keys by Team Alias, Key Alias and Org
+ - UI Improvements: Show 100 Keys Per Page, Use full height, increase width of key alias
+3. Users Page
+ - Fix: Show correct count of internal user keys on Users Page
+ - Fix: Metadata not updating in Team UI
+4. Logs Page
+ - UI Improvements: Keep expanded log in focus on LiteLLM UI
+ - UI Improvements: Minor improvements to logs page
+ - Fix: Allow internal user to query their own logs
+ - Allow switching off storing Error Logs in DB [Getting Started](https://docs.litellm.ai/docs/proxy/ui_logs)
+5. Sign In/Sign Out
+ - Fix: Correctly use `PROXY_LOGOUT_URL` when set [Getting Started](https://docs.litellm.ai/docs/proxy/self_serve#setting-custom-logout-urls)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/responses-api\#security "Direct link to Security")
+
+1. Support for Rotating Master Keys [Getting Started](https://docs.litellm.ai/docs/proxy/master_key_rotations)
+2. Fix: Internal User Viewer Permissions, don't allow `internal_user_viewer` role to see `Test Key Page` or `Create Key Button` [More information on role based access controls](https://docs.litellm.ai/docs/proxy/access_control)
+3. Emit audit logs on All user + model Create/Update/Delete endpoints [Getting Started](https://docs.litellm.ai/docs/proxy/multiple_admins)
+4. JWT
+ - Support multiple JWT OIDC providers [Getting Started](https://docs.litellm.ai/docs/proxy/token_auth)
+ - Fix JWT access with Groups not working when team is assigned All Proxy Models access
+5. Using K/V pairs in 1 AWS Secret [Getting Started](https://docs.litellm.ai/docs/secret#using-kv-pairs-in-1-aws-secret)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/responses-api\#logging-integrations "Direct link to Logging Integrations")
+
+1. Prometheus: Track Azure LLM API latency metric [Getting Started](https://docs.litellm.ai/docs/proxy/prometheus#request-latency-metrics)
+2. Athina: Added tags, user\_feedback and model\_options to additional\_keys which can be sent to Athina [Getting Started](https://docs.litellm.ai/docs/observability/athina_integration)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+1. Redis + litellm router - Fix Redis cluster mode for litellm router [PR](https://github.com/BerriAI/litellm/pull/9010)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/responses-api\#general-improvements "Direct link to General Improvements")
+
+1. OpenWebUI Integration - display `thinking` tokens
+
+- Guide on getting started with LiteLLM x OpenWebUI. [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui)
+- Display `thinking` tokens on OpenWebUI (Bedrock, Anthropic, Deepseek) [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui#render-thinking-content-on-openweb-ui)
+
+
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/responses-api\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.2-stable...v1.63.11-stable)
+
+## Secret Management Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/secret-management#__docusaurus_skipToContent_fallback)
+
+`alerting`, `prometheus`, `secret management`, `management endpoints`, `ui`, `prompt management`, `finetuning`, `batch`
+
+## New / Updated Models [](https://docs.litellm.ai/release_notes/tags/secret-management\#new--updated-models "Direct link to New / Updated Models")
+
+1. Mistral large pricing - [https://github.com/BerriAI/litellm/pull/7452](https://github.com/BerriAI/litellm/pull/7452)
+2. Cohere command-r7b-12-2024 pricing - [https://github.com/BerriAI/litellm/pull/7553/files](https://github.com/BerriAI/litellm/pull/7553/files)
+3. Voyage - new models, prices and context window information - [https://github.com/BerriAI/litellm/pull/7472](https://github.com/BerriAI/litellm/pull/7472)
+4. Anthropic - bump Bedrock claude-3-5-haiku max\_output\_tokens to 8192
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+1. Health check support for realtime models
+2. Support calling Azure realtime routes via virtual keys
+3. Support custom tokenizer on `/utils/token_counter` \- useful when checking token count for self-hosted models
+4. Request Prioritization - support on `/v1/completion` endpoint as well
+
+## LLM Translation Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#llm-translation-improvements "Direct link to LLM Translation Improvements")
+
+1. Deepgram STT support. [Start Here](https://docs.litellm.ai/docs/providers/deepgram)
+2. OpenAI Moderations - `omni-moderation-latest` support. [Start Here](https://docs.litellm.ai/docs/moderation)
+3. Azure O1 - fake streaming support. This ensures if a `stream=true` is passed, the response is streamed. [Start Here](https://docs.litellm.ai/docs/providers/azure)
+4. Anthropic - non-whitespace char stop sequence handling - [PR](https://github.com/BerriAI/litellm/pull/7484)
+5. Azure OpenAI - support Entra ID username + password based auth. [Start Here](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret)
+6. LM Studio - embedding route support. [Start Here](https://docs.litellm.ai/docs/providers/lm-studio)
+7. WatsonX - ZenAPIKeyAuth support. [Start Here](https://docs.litellm.ai/docs/providers/watsonx)
+
+## Prompt Management Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#prompt-management-improvements "Direct link to Prompt Management Improvements")
+
+1. Langfuse integration
+2. HumanLoop integration
+3. Support for using load balanced models
+4. Support for loading optional params from prompt manager
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Finetuning + Batch APIs Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#finetuning--batch-apis-improvements "Direct link to Finetuning + Batch APIs Improvements")
+
+1. Improved unified endpoint support for Vertex AI finetuning - [PR](https://github.com/BerriAI/litellm/pull/7487)
+2. Add support for retrieving vertex api batch jobs - [PR](https://github.com/BerriAI/litellm/commit/13f364682d28a5beb1eb1b57f07d83d5ef50cbdc)
+
+## _NEW_ Alerting Integration [](https://docs.litellm.ai/release_notes/tags/secret-management\#new-alerting-integration "Direct link to new-alerting-integration")
+
+PagerDuty Alerting Integration.
+
+Handles two types of alerts:
+
+- High LLM API Failure Rate. Configure X fails in Y seconds to trigger an alert.
+- High Number of Hanging LLM Requests. Configure X hangs in Y seconds to trigger an alert.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/pagerduty)
+
+## Prometheus Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#prometheus-improvements "Direct link to Prometheus Improvements")
+
+Added support for tracking latency/spend/tokens based on custom metrics. [Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## _NEW_ Hashicorp Secret Manager Support [](https://docs.litellm.ai/release_notes/tags/secret-management\#new-hashicorp-secret-manager-support "Direct link to new-hashicorp-secret-manager-support")
+
+Support for reading credentials + writing LLM API keys. [Start Here](https://docs.litellm.ai/docs/secret#hashicorp-vault)
+
+## Management Endpoints / UI Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#management-endpoints--ui-improvements "Direct link to Management Endpoints / UI Improvements")
+
+1. Create and view organizations + assign org admins on the Proxy UI
+2. Support deleting keys by key\_alias
+3. Allow assigning teams to org on UI
+4. Disable using ui session token for 'test key' pane
+5. Show model used in 'test key' pane
+6. Support markdown output in 'test key' pane
+
+## Helm Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#helm-improvements "Direct link to Helm Improvements")
+
+1. Prevent istio injection for db migrations cron job
+2. allow using migrationJob.enabled variable within job
+
+## Logging Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#logging-improvements "Direct link to Logging Improvements")
+
+1. braintrust logging: respect project\_id, add more metrics - [https://github.com/BerriAI/litellm/pull/7613](https://github.com/BerriAI/litellm/pull/7613)
+2. Athina - support base url - `ATHINA_BASE_URL`
+3. Lunary - Allow passing custom parent run id to LLM Calls
+
+## Git Diff [](https://docs.litellm.ai/release_notes/tags/secret-management\#git-diff "Direct link to Git Diff")
+
+This is the diff between v1.56.3-stable and v1.57.8-stable.
+
+Use this to see the changes in the codebase.
+
+[Git Diff](https://github.com/BerriAI/litellm/compare/v1.56.3-stable...189b67760011ea313ca58b1f8bd43aa74fbd7f55)
+
+`langfuse`, `management endpoints`, `ui`, `prometheus`, `secret management`
+
+## Langfuse Prompt Management [](https://docs.litellm.ai/release_notes/tags/secret-management\#langfuse-prompt-management "Direct link to Langfuse Prompt Management")
+
+Langfuse Prompt Management is being labelled as BETA. This allows us to iterate quickly on the feedback we're receiving, and making the status clearer to users. We expect to make this feature to be stable by next month (February 2025).
+
+Changes:
+
+- Include the client message in the LLM API Request. (Previously only the prompt template was sent, and the client message was ignored).
+- Log the prompt template in the logged request (e.g. to s3/langfuse).
+- Log the 'prompt\_id' and 'prompt\_variables' in the logged request (e.g. to s3/langfuse).
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prompt_management)
+
+## Team/Organization Management + UI Improvements [](https://docs.litellm.ai/release_notes/tags/secret-management\#teamorganization-management--ui-improvements "Direct link to Team/Organization Management + UI Improvements")
+
+Managing teams and organizations on the UI is now easier.
+
+Changes:
+
+- Support for editing user role within team on UI.
+- Support updating team member role to admin via api - `/team/member_update`
+- Show team admins all keys for their team.
+- Add organizations with budgets
+- Assign teams to orgs on the UI
+- Auto-assign SSO users to teams
+
+[Start Here](https://docs.litellm.ai/docs/proxy/self_serve)
+
+## Hashicorp Vault Support [](https://docs.litellm.ai/release_notes/tags/secret-management\#hashicorp-vault-support "Direct link to Hashicorp Vault Support")
+
+We now support writing LiteLLM Virtual API keys to Hashicorp Vault.
+
+[Start Here](https://docs.litellm.ai/docs/proxy/vault)
+
+## Custom Prometheus Metrics [](https://docs.litellm.ai/release_notes/tags/secret-management\#custom-prometheus-metrics "Direct link to Custom Prometheus Metrics")
+
+Define custom prometheus metrics, and track usage/latency/no. of requests against them
+
+This allows for more fine-grained tracking - e.g. on prompt template passed in request metadata
+
+[Start Here](https://docs.litellm.ai/docs/proxy/prometheus#beta-custom-metrics)
+
+## LiteLLM Security Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/security#__docusaurus_skipToContent_fallback)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes/tags/security\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.67.4-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.67.4.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/security\#key-highlights "Direct link to Key Highlights")
+
+- **Improved User Management**: This release enables search and filtering across users, keys, teams, and models.
+- **Responses API Load Balancing**: Route requests across provider regions and ensure session continuity.
+- **UI Session Logs**: Group several requests to LiteLLM into a session.
+
+## Improved User Management [](https://docs.litellm.ai/release_notes/tags/security\#improved-user-management "Direct link to Improved User Management")
+
+
+
+This release makes it easier to manage users and keys on LiteLLM. You can now search and filter across users, keys, teams, and models, and control user settings more easily.
+
+New features include:
+
+- Search for users by email, ID, role, or team.
+- See all of a user's models, teams, and keys in one place.
+- Change user roles and model access right from the Users Tab.
+
+These changes help you spend less time on user setup and management on LiteLLM.
+
+## Responses API Load Balancing [](https://docs.litellm.ai/release_notes/tags/security\#responses-api-load-balancing "Direct link to Responses API Load Balancing")
+
+
+
+This release introduces load balancing for the Responses API, allowing you to route requests across provider regions and ensure session continuity. It works as follows:
+
+- If a `previous_response_id` is provided, LiteLLM will route the request to the original deployment that generated the prior response — ensuring session continuity.
+- If no `previous_response_id` is provided, LiteLLM will load-balance requests across your available deployments.
+
+[Read more](https://docs.litellm.ai/docs/response_api#load-balancing-with-session-continuity)
+
+## UI Session Logs [](https://docs.litellm.ai/release_notes/tags/security\#ui-session-logs "Direct link to UI Session Logs")
+
+
+
+This release allow you to group requests to LiteLLM proxy into a session. If you specify a litellm\_session\_id in your request LiteLLM will automatically group all logs in the same session. This allows you to easily track usage and request content per session.
+
+[Read more](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/security\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. Added `gpt-image-1` cost tracking [Get Started](https://docs.litellm.ai/docs/image_generation)
+2. Bug fix: added cost tracking for gpt-image-1 when quality is unspecified [PR](https://github.com/BerriAI/litellm/pull/10247)
+- **Azure**
+1. Fixed timestamp granularities passing to whisper in Azure [Get Started](https://docs.litellm.ai/docs/audio_transcription)
+2. Added azure/gpt-image-1 pricing [Get Started](https://docs.litellm.ai/docs/image_generation), [PR](https://github.com/BerriAI/litellm/pull/10327)
+3. Added cost tracking for `azure/computer-use-preview`, `azure/gpt-4o-audio-preview-2024-12-17`, `azure/gpt-4o-mini-audio-preview-2024-12-17` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Bedrock**
+1. Added support for all compatible Bedrock parameters when model="arn:.." (Bedrock application inference profile models) [Get started](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile), [PR](https://github.com/BerriAI/litellm/pull/10256)
+2. Fixed wrong system prompt transformation [PR](https://github.com/BerriAI/litellm/pull/10120)
+- **VertexAI / Google AI Studio**
+1. Allow setting `budget_tokens=0` for `gemini-2.5-flash` [Get Started](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10198)
+2. Ensure returned `usage` includes thinking token usage [PR](https://github.com/BerriAI/litellm/pull/10198)
+3. Added cost tracking for `gemini-2.5-pro-preview-03-25` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Cohere**
+1. Added support for cohere command-a-03-2025 [Get Started](https://docs.litellm.ai/docs/providers/cohere), [PR](https://github.com/BerriAI/litellm/pull/10295)
+- **SageMaker**
+1. Added support for max\_completion\_tokens parameter [Get Started](https://docs.litellm.ai/docs/providers/sagemaker), [PR](https://github.com/BerriAI/litellm/pull/10300)
+- **Responses API**
+1. Added support for GET and DELETE operations - `/v1/responses/{response_id}` [Get Started](https://docs.litellm.ai/docs/response_api)
+2. Added session management support for non-OpenAI models [PR](https://github.com/BerriAI/litellm/pull/10321)
+3. Added routing affinity to maintain model consistency within sessions [Get Started](https://docs.litellm.ai/docs/response_api#load-balancing-with-routing-affinity), [PR](https://github.com/BerriAI/litellm/pull/10193)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/security\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Bug Fix**: Fixed spend tracking bug, ensuring default litellm params aren't modified in memory [PR](https://github.com/BerriAI/litellm/pull/10167)
+- **Deprecation Dates**: Added deprecation dates for Azure, VertexAI models [PR](https://github.com/BerriAI/litellm/pull/10308)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/security\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+#### Users [](https://docs.litellm.ai/release_notes/tags/security\#users "Direct link to Users")
+
+- **Filtering and Searching**:
+
+
+ - Filter users by user\_id, role, team, sso\_id
+ - Search users by email
+
+
+
+- **User Info Panel**: Added a new user information pane [PR](https://github.com/BerriAI/litellm/pull/10213)
+
+ - View teams, keys, models associated with User
+ - Edit user role, model permissions
+
+#### Teams [](https://docs.litellm.ai/release_notes/tags/security\#teams "Direct link to Teams")
+
+- **Filtering and Searching**:
+
+
+ - Filter teams by Organization, Team ID [PR](https://github.com/BerriAI/litellm/pull/10324)
+ - Search teams by Team Name [PR](https://github.com/BerriAI/litellm/pull/10324)
+
+
+
+#### Keys [](https://docs.litellm.ai/release_notes/tags/security\#keys "Direct link to Keys")
+
+- **Key Management**:
+ - Support for cross-filtering and filtering by key hash [PR](https://github.com/BerriAI/litellm/pull/10322)
+ - Fixed key alias reset when resetting filters [PR](https://github.com/BerriAI/litellm/pull/10099)
+ - Fixed table rendering on key creation [PR](https://github.com/BerriAI/litellm/pull/10224)
+
+#### UI Logs Page [](https://docs.litellm.ai/release_notes/tags/security\#ui-logs-page "Direct link to UI Logs Page")
+
+- **Session Logs**: Added UI Session Logs [Get Started](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+#### UI Authentication & Security [](https://docs.litellm.ai/release_notes/tags/security\#ui-authentication--security "Direct link to UI Authentication & Security")
+
+- **Required Authentication**: Authentication now required for all dashboard pages [PR](https://github.com/BerriAI/litellm/pull/10229)
+- **SSO Fixes**: Fixed SSO user login invalid token error [PR](https://github.com/BerriAI/litellm/pull/10298)
+- \[BETA\] **Encrypted Tokens**: Moved UI to encrypted token usage [PR](https://github.com/BerriAI/litellm/pull/10302)
+- **Token Expiry**: Support token refresh by re-routing to login page (fixes issue where expired token would show a blank page) [PR](https://github.com/BerriAI/litellm/pull/10250)
+
+#### UI General fixes [](https://docs.litellm.ai/release_notes/tags/security\#ui-general-fixes "Direct link to UI General fixes")
+
+- **Fixed UI Flicker**: Addressed UI flickering issues in Dashboard [PR](https://github.com/BerriAI/litellm/pull/10261)
+- **Improved Terminology**: Better loading and no-data states on Keys and Tools pages [PR](https://github.com/BerriAI/litellm/pull/10253)
+- **Azure Model Support**: Fixed editing Azure public model names and changing model names after creation [PR](https://github.com/BerriAI/litellm/pull/10249)
+- **Team Model Selector**: Bug fix for team model selection [PR](https://github.com/BerriAI/litellm/pull/10171)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/security\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **Datadog**:
+1. Fixed Datadog LLM observability logging [Get Started](https://docs.litellm.ai/docs/proxy/logging#datadog), [PR](https://github.com/BerriAI/litellm/pull/10206)
+- **Prometheus / Grafana**:
+1. Enable datasource selection on LiteLLM Grafana Template [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#-litellm-maintained-grafana-dashboards-), [PR](https://github.com/BerriAI/litellm/pull/10257)
+- **AgentOps**:
+1. Added AgentOps Integration [Get Started](https://docs.litellm.ai/docs/observability/agentops_integration), [PR](https://github.com/BerriAI/litellm/pull/9685)
+- **Arize**:
+1. Added missing attributes for Arize & Phoenix Integration [Get Started](https://docs.litellm.ai/docs/observability/arize_integration), [PR](https://github.com/BerriAI/litellm/pull/10215)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/security\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Caching**: Fixed caching to account for `thinking` or `reasoning_effort` when calculating cache key [PR](https://github.com/BerriAI/litellm/pull/10140)
+- **Model Groups**: Fixed handling for cases where user sets model\_group inside model\_info [PR](https://github.com/BerriAI/litellm/pull/10191)
+- **Passthrough Endpoints**: Ensured `PassthroughStandardLoggingPayload` is logged with method, URL, request/response body [PR](https://github.com/BerriAI/litellm/pull/10194)
+- **Fix SQL Injection**: Fixed potential SQL injection vulnerability in spend\_management\_endpoints.py [PR](https://github.com/BerriAI/litellm/pull/9878)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/security\#helm "Direct link to Helm")
+
+- Fixed serviceAccountName on migration job [PR](https://github.com/BerriAI/litellm/pull/10258)
+
+## Full Changelog [](https://docs.litellm.ai/release_notes/tags/security\#full-changelog "Direct link to Full Changelog")
+
+The complete list of changes can be found in the [GitHub release notes](https://github.com/BerriAI/litellm/compare/v1.67.0-stable...v1.67.4-stable).
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/security\#key-highlights "Direct link to Key Highlights")
+
+- **SCIM Integration**: Enables identity providers (Okta, Azure AD, OneLogin, etc.) to automate user and team (group) provisioning, updates, and deprovisioning
+- **Team and Tag based usage tracking**: You can now see usage and spend by team and tag at 1M+ spend logs.
+- **Unified Responses API**: Support for calling Anthropic, Gemini, Groq, etc. via OpenAI's new Responses API.
+
+Let's dive in.
+
+## SCIM Integration [](https://docs.litellm.ai/release_notes/tags/security\#scim-integration "Direct link to SCIM Integration")
+
+
+
+This release adds SCIM support to LiteLLM. This allows your SSO provider (Okta, Azure AD, etc) to automatically create/delete users, teams, and memberships on LiteLLM. This means that when you remove a team on your SSO provider, your SSO provider will automatically delete the corresponding team on LiteLLM.
+
+[Read more](https://docs.litellm.ai/docs/tutorials/scim_litellm)
+
+## Team and Tag based usage tracking [](https://docs.litellm.ai/release_notes/tags/security\#team-and-tag-based-usage-tracking "Direct link to Team and Tag based usage tracking")
+
+
+
+This release improves team and tag based usage tracking at 1m+ spend logs, making it easy to monitor your LLM API Spend in production. This covers:
+
+- View **daily spend** by teams + tags
+- View **usage / spend by key**, within teams
+- View **spend by multiple tags**
+- Allow **internal users** to view spend of teams they're a member of
+
+[Read more](https://docs.litellm.ai/release_notes/tags/security#management-endpoints--ui)
+
+## Unified Responses API [](https://docs.litellm.ai/release_notes/tags/security\#unified-responses-api "Direct link to Unified Responses API")
+
+This release allows you to call Azure OpenAI, Anthropic, AWS Bedrock, and Google Vertex AI models via the POST /v1/responses endpoint on LiteLLM. This means you can now use popular tools like [OpenAI Codex](https://docs.litellm.ai/docs/tutorials/openai_codex) with your own models.
+
+
+
+[Read more](https://docs.litellm.ai/docs/response_api)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/security\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing - [Get Started](https://docs.litellm.ai/docs/providers/openai#usage), [PR](https://github.com/BerriAI/litellm/pull/9990)
+2. o4 - correctly map o4 to openai o\_series model
+- **Azure AI**
+1. Phi-4 output cost per token fix - [PR](https://github.com/BerriAI/litellm/pull/9880)
+2. Responses API support [Get Started](https://docs.litellm.ai/docs/providers/azure#azure-responses-api), [PR](https://github.com/BerriAI/litellm/pull/10116)
+- **Anthropic**
+1. redacted message thinking support - [Get Started](https://docs.litellm.ai/docs/providers/anthropic#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10129)
+- **Cohere**
+1. `/v2/chat` Passthrough endpoint support w/ cost tracking - [Get Started](https://docs.litellm.ai/docs/pass_through/cohere), [PR](https://github.com/BerriAI/litellm/pull/9997)
+- **Azure**
+1. Support azure tenant\_id/client\_id env vars - [Get Started](https://docs.litellm.ai/docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret), [PR](https://github.com/BerriAI/litellm/pull/9993)
+2. Fix response\_format check for 2025+ api versions - [PR](https://github.com/BerriAI/litellm/pull/9993)
+3. Add gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing
+- **VLLM**
+1. Files - Support 'file' message type for VLLM video url's - [Get Started](https://docs.litellm.ai/docs/providers/vllm#send-video-url-to-vllm), [PR](https://github.com/BerriAI/litellm/pull/10129)
+2. Passthrough - new `/vllm/` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/vllm), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **Mistral**
+1. new `/mistral` passthrough endpoint support [Get Started](https://docs.litellm.ai/docs/pass_through/mistral), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **AWS**
+1. New mapped bedrock regions - [PR](https://github.com/BerriAI/litellm/pull/9430)
+- **VertexAI / Google AI Studio**
+1. Gemini - Response format - Retain schema field ordering for google gemini and vertex by specifying propertyOrdering - [Get Started](https://docs.litellm.ai/docs/providers/vertex#json-schema), [PR](https://github.com/BerriAI/litellm/pull/9828)
+2. Gemini-2.5-flash - return reasoning content [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [Vertex AI](https://docs.litellm.ai/docs/providers/vertex#thinking--reasoning_content)
+3. Gemini-2.5-flash - pricing + model information [PR](https://github.com/BerriAI/litellm/pull/10125)
+4. Passthrough - new `/vertex_ai/discovery` route - enables calling AgentBuilder API routes [Get Started](https://docs.litellm.ai/docs/pass_through/vertex_ai#supported-api-endpoints), [PR](https://github.com/BerriAI/litellm/pull/10084)
+- **Fireworks AI**
+1. return tool calling responses in `tool_calls` field (fireworks incorrectly returns this as a json str in content) [PR](https://github.com/BerriAI/litellm/pull/10130)
+- **Triton**
+1. Remove fixed remove bad\_words / stop words from `/generate` call - [Get Started](https://docs.litellm.ai/docs/providers/triton-inference-server#triton-generate---chat-completion), [PR](https://github.com/BerriAI/litellm/pull/10163)
+- **Other**
+1. Support for all litellm providers on Responses API (works with Codex) - [Get Started](https://docs.litellm.ai/docs/tutorials/openai_codex), [PR](https://github.com/BerriAI/litellm/pull/10132)
+2. Fix combining multiple tool calls in streaming response - [Get Started](https://docs.litellm.ai/docs/completion/stream#helper-function), [PR](https://github.com/BerriAI/litellm/pull/10040)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/security\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Cost Control** \- inject cache control points in prompt for cost reduction [Get Started](https://docs.litellm.ai/docs/tutorials/prompt_caching), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Spend Tags** \- spend tags in headers - support x-litellm-tags even if tag based routing not enabled [Get Started](https://docs.litellm.ai/docs/proxy/request_headers#litellm-headers), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Gemini-2.5-flash** \- support cost calculation for reasoning tokens [PR](https://github.com/BerriAI/litellm/pull/10141)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/security\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Users**
+
+1. Show created\_at and updated\_at on users page - [PR](https://github.com/BerriAI/litellm/pull/10033)
+- **Virtual Keys**
+
+1. Filter by key alias - [https://github.com/BerriAI/litellm/pull/10085](https://github.com/BerriAI/litellm/pull/10085)
+- **Usage Tab**
+
+1. Team based usage
+
+
+ - New `LiteLLM_DailyTeamSpend` Table for aggregate team based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10039)
+
+ - New Team based usage dashboard + new `/team/daily/activity` API - [PR](https://github.com/BerriAI/litellm/pull/10081)
+
+ - Return team alias on /team/daily/activity API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow internal user view spend for teams they belong to - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+ - allow viewing top keys by team - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+
+
+
+2. Tag Based Usage
+
+ - New `LiteLLM_DailyTagSpend` Table for aggregate tag based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10071)
+ - Restrict to only Proxy Admins - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ - allow viewing top keys by tag
+ - Return tags passed in request (i.e. dynamic tags) on `/tag/list` API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+ 
+3. Track prompt caching metrics in daily user, team, tag tables - [PR](https://github.com/BerriAI/litellm/pull/10029)
+
+4. Show usage by key (on all up, team, and tag usage dashboards) - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+5. swap old usage with new usage tab
+- **Models**
+
+1. Make columns resizable/hideable - [PR](https://github.com/BerriAI/litellm/pull/10119)
+- **API Playground**
+
+1. Allow internal user to call api playground - [PR](https://github.com/BerriAI/litellm/pull/10157)
+- **SCIM**
+
+1. Add LiteLLM SCIM Integration for Team and User management - [Get Started](https://docs.litellm.ai/docs/tutorials/scim_litellm), [PR](https://github.com/BerriAI/litellm/pull/10072)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/security\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **GCS**
+1. Fix gcs pub sub logging with env var GCS\_PROJECT\_ID - [Get Started](https://docs.litellm.ai/docs/observability/gcs_bucket_integration#usage), [PR](https://github.com/BerriAI/litellm/pull/10042)
+- **AIM**
+1. Add litellm call id passing to Aim guardrails on pre and post-hooks calls - [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/aim_security), [PR](https://github.com/BerriAI/litellm/pull/10021)
+- **Azure blob storage**
+1. Ensure logging works in high throughput scenarios - [Get Started](https://docs.litellm.ai/docs/proxy/logging#azure-blob-storage), [PR](https://github.com/BerriAI/litellm/pull/9962)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/security\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Support setting `litellm.modify_params` via env var** [PR](https://github.com/BerriAI/litellm/pull/9964)
+- **Model Discovery** \- Check provider’s `/models` endpoints when calling proxy’s `/v1/models` endpoint - [Get Started](https://docs.litellm.ai/docs/proxy/model_discovery), [PR](https://github.com/BerriAI/litellm/pull/9958)
+- **`/utils/token_counter`** \- fix retrieving custom tokenizer for db models - [Get Started](https://docs.litellm.ai/docs/proxy/configs#set-custom-tokenizer), [PR](https://github.com/BerriAI/litellm/pull/10047)
+- **Prisma migrate** \- handle existing columns in db table - [PR](https://github.com/BerriAI/litellm/pull/10138)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes/tags/security\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.66.0-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.66.0.post1
+
+```
+
+v1.66.0-stable is live now, here are the key highlights of this release
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/security\#key-highlights "Direct link to Key Highlights")
+
+- **Realtime API Cost Tracking**: Track cost of realtime API calls
+- **Microsoft SSO Auto-sync**: Auto-sync groups and group members from Azure Entra ID to LiteLLM
+- **xAI grok-3**: Added support for `xai/grok-3` models
+- **Security Fixes**: Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) and [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) vulnerabilities
+
+Let's dive in.
+
+## Realtime API Cost Tracking [](https://docs.litellm.ai/release_notes/tags/security\#realtime-api-cost-tracking "Direct link to Realtime API Cost Tracking")
+
+
+
+This release adds Realtime API logging + cost tracking.
+
+- **Logging**: LiteLLM now logs the complete response from realtime calls to all logging integrations (DB, S3, Langfuse, etc.)
+- **Cost Tracking**: You can now set 'base\_model' and custom pricing for realtime models. [Custom Pricing](https://docs.litellm.ai/docs/proxy/custom_pricing)
+- **Budgets**: Your key/user/team budgets now work for realtime models as well.
+
+Start [here](https://docs.litellm.ai/docs/realtime)
+
+## Microsoft SSO Auto-sync [](https://docs.litellm.ai/release_notes/tags/security\#microsoft-sso-auto-sync "Direct link to Microsoft SSO Auto-sync")
+
+
+
+Auto-sync groups and members from Azure Entra ID to LiteLLM
+
+This release adds support for auto-syncing groups and members on Microsoft Entra ID with LiteLLM. This means that LiteLLM proxy administrators can spend less time managing teams and members and LiteLLM handles the following:
+
+- Auto-create teams that exist on Microsoft Entra ID
+- Sync team members on Microsoft Entra ID with LiteLLM teams
+
+Get started with this [here](https://docs.litellm.ai/docs/tutorials/msft_sso)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/security\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **xAI**
+
+1. Added reasoning\_effort support for `xai/grok-3-mini-beta` [Get Started](https://docs.litellm.ai/docs/providers/xai#reasoning-usage)
+2. Added cost tracking for `xai/grok-3` models [PR](https://github.com/BerriAI/litellm/pull/9920)
+- **Hugging Face**
+
+1. Added inference providers support [Get Started](https://docs.litellm.ai/docs/providers/huggingface#serverless-inference-providers)
+- **Azure**
+
+1. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **VertexAI**
+
+1. Added enterpriseWebSearch tool support [Get Started](https://docs.litellm.ai/docs/providers/vertex#grounding---web-search)
+2. Moved to only passing keys accepted by the Vertex AI response schema [PR](https://github.com/BerriAI/litellm/pull/8992)
+- **Google AI Studio**
+
+1. Added cost tracking for `gemini-2.5-pro` [PR](https://github.com/BerriAI/litellm/pull/9837)
+2. Fixed pricing for 'gemini/gemini-2.5-pro-preview-03-25' [PR](https://github.com/BerriAI/litellm/pull/9896)
+3. Fixed handling file\_data being passed in [PR](https://github.com/BerriAI/litellm/pull/9786)
+- **Azure**
+
+1. Updated Azure Phi-4 pricing [PR](https://github.com/BerriAI/litellm/pull/9862)
+2. Added azure/gpt-4o-realtime-audio cost tracking [PR](https://github.com/BerriAI/litellm/pull/9893)
+- **Databricks**
+
+1. Removed reasoning\_effort from parameters [PR](https://github.com/BerriAI/litellm/pull/9811)
+2. Fixed custom endpoint check for Databricks [PR](https://github.com/BerriAI/litellm/pull/9925)
+- **General**
+
+1. Added litellm.supports\_reasoning() util to track if an llm supports reasoning [Get Started](https://docs.litellm.ai/docs/providers/anthropic#reasoning)
+2. Function Calling - Handle pydantic base model in message tool calls, handle tools = \[\], and support fake streaming on tool calls for meta.llama3-3-70b-instruct-v1:0 [PR](https://github.com/BerriAI/litellm/pull/9774)
+3. LiteLLM Proxy - Allow passing `thinking` param to litellm proxy via client sdk [PR](https://github.com/BerriAI/litellm/pull/9386)
+4. Fixed correctly translating 'thinking' param for litellm [PR](https://github.com/BerriAI/litellm/pull/9904)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/security\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **OpenAI, Azure**
+1. Realtime API Cost tracking with token usage metrics in spend logs [Get Started](https://docs.litellm.ai/docs/realtime)
+- **Anthropic**
+1. Fixed Claude Haiku cache read pricing per token [PR](https://github.com/BerriAI/litellm/pull/9834)
+2. Added cost tracking for Claude responses with base\_model [PR](https://github.com/BerriAI/litellm/pull/9897)
+3. Fixed Anthropic prompt caching cost calculation and trimmed logged message in db [PR](https://github.com/BerriAI/litellm/pull/9838)
+- **General**
+1. Added token tracking and log usage object in spend logs [PR](https://github.com/BerriAI/litellm/pull/9843)
+2. Handle custom pricing at deployment level [PR](https://github.com/BerriAI/litellm/pull/9855)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/security\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+- **Test Key Tab**
+
+1. Added rendering of Reasoning content, ttft, usage metrics on test key page [PR](https://github.com/BerriAI/litellm/pull/9931)
+
+ 
+
+ View input, output, reasoning tokens, ttft metrics.
+- **Tag / Policy Management**
+
+1. Added Tag/Policy Management. Create routing rules based on request metadata. This allows you to enforce that requests with `tags="private"` only go to specific models. [Get Started](https://docs.litellm.ai/docs/tutorials/tag_management)
+
+
+
+ 
+
+ Create and manage tags.
+- **Redesigned Login Screen**
+
+1. Polished login screen [PR](https://github.com/BerriAI/litellm/pull/9778)
+- **Microsoft SSO Auto-Sync**
+
+1. Added debug route to allow admins to debug SSO JWT fields [PR](https://github.com/BerriAI/litellm/pull/9835)
+2. Added ability to use MSFT Graph API to assign users to teams [PR](https://github.com/BerriAI/litellm/pull/9865)
+3. Connected litellm to Azure Entra ID Enterprise Application [PR](https://github.com/BerriAI/litellm/pull/9872)
+4. Added ability for admins to set `default_team_params` for when litellm SSO creates default teams [PR](https://github.com/BerriAI/litellm/pull/9895)
+5. Fixed MSFT SSO to use correct field for user email [PR](https://github.com/BerriAI/litellm/pull/9886)
+6. Added UI support for setting Default Team setting when litellm SSO auto creates teams [PR](https://github.com/BerriAI/litellm/pull/9918)
+- **UI Bug Fixes**
+
+1. Prevented team, key, org, model numerical values changing on scrolling [PR](https://github.com/BerriAI/litellm/pull/9776)
+2. Instantly reflect key and team updates in UI [PR](https://github.com/BerriAI/litellm/pull/9825)
+
+## Logging / Guardrail Improvements [](https://docs.litellm.ai/release_notes/tags/security\#logging--guardrail-improvements "Direct link to Logging / Guardrail Improvements")
+
+- **Prometheus**
+1. Emit Key and Team Budget metrics on a cron job schedule [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#initialize-budget-metrics-on-startup)
+
+## Security Fixes [](https://docs.litellm.ai/release_notes/tags/security\#security-fixes "Direct link to Security Fixes")
+
+- Fixed [CVE-2025-0330](https://www.cve.org/CVERecord?id=CVE-2025-0330) \- Leakage of Langfuse API keys in team exception handling [PR](https://github.com/BerriAI/litellm/pull/9830)
+- Fixed [CVE-2024-6825](https://www.cve.org/CVERecord?id=CVE-2024-6825) \- Remote code execution in post call rules [PR](https://github.com/BerriAI/litellm/pull/9826)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/security\#helm "Direct link to Helm")
+
+- Added service annotations to litellm-helm chart [PR](https://github.com/BerriAI/litellm/pull/9840)
+- Added extraEnvVars to the helm deployment [PR](https://github.com/BerriAI/litellm/pull/9292)
+
+## Demo [](https://docs.litellm.ai/release_notes/tags/security\#demo "Direct link to Demo")
+
+Try this on the demo instance [today](https://docs.litellm.ai/docs/proxy/demo)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/security\#complete-git-diff "Direct link to Complete Git Diff")
+
+See the complete git diff since v1.65.4-stable, [here](https://github.com/BerriAI/litellm/releases/tag/v1.66.0-stable)
+
+`docker image`, `security`, `vulnerability`
+
+# 0 Critical/High Vulnerabilities
+
+
+
+## What changed? [](https://docs.litellm.ai/release_notes/tags/security\#what-changed "Direct link to What changed?")
+
+- LiteLLMBase image now uses `cgr.dev/chainguard/python:latest-dev`
+
+## Why the change? [](https://docs.litellm.ai/release_notes/tags/security\#why-the-change "Direct link to Why the change?")
+
+To ensure there are 0 critical/high vulnerabilities on LiteLLM Docker Image
+
+## Migration Guide [](https://docs.litellm.ai/release_notes/tags/security\#migration-guide "Direct link to Migration Guide")
+
+- If you use a custom dockerfile with litellm as a base image + `apt-get`
+
+Instead of `apt-get` use `apk`, the base litellm image will no longer have `apt-get` installed.
+
+**You are only impacted if you use `apt-get` in your Dockerfile**
+
+```codeBlockLines_e6Vv
+# Use the provided base image
+FROM ghcr.io/berriai/litellm:main-latest
+
+# Set the working directory
+WORKDIR /app
+
+# Install dependencies - CHANGE THIS to `apk`
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+Before Change
+
+```codeBlockLines_e6Vv
+RUN apt-get update && apt-get install -y dumb-init
+
+```
+
+After Change
+
+```codeBlockLines_e6Vv
+RUN apk update && apk add --no-cache dumb-init
+
+```
+
+## Session Management Updates
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/session-management#__docusaurus_skipToContent_fallback)
+
+## Deploy this version [](https://docs.litellm.ai/release_notes/tags/session-management\#deploy-this-version "Direct link to Deploy this version")
+
+- Docker
+- Pip
+
+docker run litellm
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.67.4-stable
+
+```
+
+pip install litellm
+
+```codeBlockLines_e6Vv
+pip install litellm==1.67.4.post1
+
+```
+
+## Key Highlights [](https://docs.litellm.ai/release_notes/tags/session-management\#key-highlights "Direct link to Key Highlights")
+
+- **Improved User Management**: This release enables search and filtering across users, keys, teams, and models.
+- **Responses API Load Balancing**: Route requests across provider regions and ensure session continuity.
+- **UI Session Logs**: Group several requests to LiteLLM into a session.
+
+## Improved User Management [](https://docs.litellm.ai/release_notes/tags/session-management\#improved-user-management "Direct link to Improved User Management")
+
+
+
+This release makes it easier to manage users and keys on LiteLLM. You can now search and filter across users, keys, teams, and models, and control user settings more easily.
+
+New features include:
+
+- Search for users by email, ID, role, or team.
+- See all of a user's models, teams, and keys in one place.
+- Change user roles and model access right from the Users Tab.
+
+These changes help you spend less time on user setup and management on LiteLLM.
+
+## Responses API Load Balancing [](https://docs.litellm.ai/release_notes/tags/session-management\#responses-api-load-balancing "Direct link to Responses API Load Balancing")
+
+
+
+This release introduces load balancing for the Responses API, allowing you to route requests across provider regions and ensure session continuity. It works as follows:
+
+- If a `previous_response_id` is provided, LiteLLM will route the request to the original deployment that generated the prior response — ensuring session continuity.
+- If no `previous_response_id` is provided, LiteLLM will load-balance requests across your available deployments.
+
+[Read more](https://docs.litellm.ai/docs/response_api#load-balancing-with-session-continuity)
+
+## UI Session Logs [](https://docs.litellm.ai/release_notes/tags/session-management\#ui-session-logs "Direct link to UI Session Logs")
+
+
+
+This release allow you to group requests to LiteLLM proxy into a session. If you specify a litellm\_session\_id in your request LiteLLM will automatically group all logs in the same session. This allows you to easily track usage and request content per session.
+
+[Read more](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/session-management\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- **OpenAI**
+1. Added `gpt-image-1` cost tracking [Get Started](https://docs.litellm.ai/docs/image_generation)
+2. Bug fix: added cost tracking for gpt-image-1 when quality is unspecified [PR](https://github.com/BerriAI/litellm/pull/10247)
+- **Azure**
+1. Fixed timestamp granularities passing to whisper in Azure [Get Started](https://docs.litellm.ai/docs/audio_transcription)
+2. Added azure/gpt-image-1 pricing [Get Started](https://docs.litellm.ai/docs/image_generation), [PR](https://github.com/BerriAI/litellm/pull/10327)
+3. Added cost tracking for `azure/computer-use-preview`, `azure/gpt-4o-audio-preview-2024-12-17`, `azure/gpt-4o-mini-audio-preview-2024-12-17` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Bedrock**
+1. Added support for all compatible Bedrock parameters when model="arn:.." (Bedrock application inference profile models) [Get started](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile), [PR](https://github.com/BerriAI/litellm/pull/10256)
+2. Fixed wrong system prompt transformation [PR](https://github.com/BerriAI/litellm/pull/10120)
+- **VertexAI / Google AI Studio**
+1. Allow setting `budget_tokens=0` for `gemini-2.5-flash` [Get Started](https://docs.litellm.ai/docs/providers/gemini#usage---thinking--reasoning_content), [PR](https://github.com/BerriAI/litellm/pull/10198)
+2. Ensure returned `usage` includes thinking token usage [PR](https://github.com/BerriAI/litellm/pull/10198)
+3. Added cost tracking for `gemini-2.5-pro-preview-03-25` [PR](https://github.com/BerriAI/litellm/pull/10178)
+- **Cohere**
+1. Added support for cohere command-a-03-2025 [Get Started](https://docs.litellm.ai/docs/providers/cohere), [PR](https://github.com/BerriAI/litellm/pull/10295)
+- **SageMaker**
+1. Added support for max\_completion\_tokens parameter [Get Started](https://docs.litellm.ai/docs/providers/sagemaker), [PR](https://github.com/BerriAI/litellm/pull/10300)
+- **Responses API**
+1. Added support for GET and DELETE operations - `/v1/responses/{response_id}` [Get Started](https://docs.litellm.ai/docs/response_api)
+2. Added session management support for non-OpenAI models [PR](https://github.com/BerriAI/litellm/pull/10321)
+3. Added routing affinity to maintain model consistency within sessions [Get Started](https://docs.litellm.ai/docs/response_api#load-balancing-with-routing-affinity), [PR](https://github.com/BerriAI/litellm/pull/10193)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/session-management\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- **Bug Fix**: Fixed spend tracking bug, ensuring default litellm params aren't modified in memory [PR](https://github.com/BerriAI/litellm/pull/10167)
+- **Deprecation Dates**: Added deprecation dates for Azure, VertexAI models [PR](https://github.com/BerriAI/litellm/pull/10308)
+
+## Management Endpoints / UI [](https://docs.litellm.ai/release_notes/tags/session-management\#management-endpoints--ui "Direct link to Management Endpoints / UI")
+
+#### Users [](https://docs.litellm.ai/release_notes/tags/session-management\#users "Direct link to Users")
+
+- **Filtering and Searching**:
+
+
+ - Filter users by user\_id, role, team, sso\_id
+ - Search users by email
+
+
+
+- **User Info Panel**: Added a new user information pane [PR](https://github.com/BerriAI/litellm/pull/10213)
+
+ - View teams, keys, models associated with User
+ - Edit user role, model permissions
+
+#### Teams [](https://docs.litellm.ai/release_notes/tags/session-management\#teams "Direct link to Teams")
+
+- **Filtering and Searching**:
+
+
+ - Filter teams by Organization, Team ID [PR](https://github.com/BerriAI/litellm/pull/10324)
+ - Search teams by Team Name [PR](https://github.com/BerriAI/litellm/pull/10324)
+
+
+
+#### Keys [](https://docs.litellm.ai/release_notes/tags/session-management\#keys "Direct link to Keys")
+
+- **Key Management**:
+ - Support for cross-filtering and filtering by key hash [PR](https://github.com/BerriAI/litellm/pull/10322)
+ - Fixed key alias reset when resetting filters [PR](https://github.com/BerriAI/litellm/pull/10099)
+ - Fixed table rendering on key creation [PR](https://github.com/BerriAI/litellm/pull/10224)
+
+#### UI Logs Page [](https://docs.litellm.ai/release_notes/tags/session-management\#ui-logs-page "Direct link to UI Logs Page")
+
+- **Session Logs**: Added UI Session Logs [Get Started](https://docs.litellm.ai/docs/proxy/ui_logs_sessions)
+
+#### UI Authentication & Security [](https://docs.litellm.ai/release_notes/tags/session-management\#ui-authentication--security "Direct link to UI Authentication & Security")
+
+- **Required Authentication**: Authentication now required for all dashboard pages [PR](https://github.com/BerriAI/litellm/pull/10229)
+- **SSO Fixes**: Fixed SSO user login invalid token error [PR](https://github.com/BerriAI/litellm/pull/10298)
+- \[BETA\] **Encrypted Tokens**: Moved UI to encrypted token usage [PR](https://github.com/BerriAI/litellm/pull/10302)
+- **Token Expiry**: Support token refresh by re-routing to login page (fixes issue where expired token would show a blank page) [PR](https://github.com/BerriAI/litellm/pull/10250)
+
+#### UI General fixes [](https://docs.litellm.ai/release_notes/tags/session-management\#ui-general-fixes "Direct link to UI General fixes")
+
+- **Fixed UI Flicker**: Addressed UI flickering issues in Dashboard [PR](https://github.com/BerriAI/litellm/pull/10261)
+- **Improved Terminology**: Better loading and no-data states on Keys and Tools pages [PR](https://github.com/BerriAI/litellm/pull/10253)
+- **Azure Model Support**: Fixed editing Azure public model names and changing model names after creation [PR](https://github.com/BerriAI/litellm/pull/10249)
+- **Team Model Selector**: Bug fix for team model selection [PR](https://github.com/BerriAI/litellm/pull/10171)
+
+## Logging / Guardrail Integrations [](https://docs.litellm.ai/release_notes/tags/session-management\#logging--guardrail-integrations "Direct link to Logging / Guardrail Integrations")
+
+- **Datadog**:
+1. Fixed Datadog LLM observability logging [Get Started](https://docs.litellm.ai/docs/proxy/logging#datadog), [PR](https://github.com/BerriAI/litellm/pull/10206)
+- **Prometheus / Grafana**:
+1. Enable datasource selection on LiteLLM Grafana Template [Get Started](https://docs.litellm.ai/docs/proxy/prometheus#-litellm-maintained-grafana-dashboards-), [PR](https://github.com/BerriAI/litellm/pull/10257)
+- **AgentOps**:
+1. Added AgentOps Integration [Get Started](https://docs.litellm.ai/docs/observability/agentops_integration), [PR](https://github.com/BerriAI/litellm/pull/9685)
+- **Arize**:
+1. Added missing attributes for Arize & Phoenix Integration [Get Started](https://docs.litellm.ai/docs/observability/arize_integration), [PR](https://github.com/BerriAI/litellm/pull/10215)
+
+## General Proxy Improvements [](https://docs.litellm.ai/release_notes/tags/session-management\#general-proxy-improvements "Direct link to General Proxy Improvements")
+
+- **Caching**: Fixed caching to account for `thinking` or `reasoning_effort` when calculating cache key [PR](https://github.com/BerriAI/litellm/pull/10140)
+- **Model Groups**: Fixed handling for cases where user sets model\_group inside model\_info [PR](https://github.com/BerriAI/litellm/pull/10191)
+- **Passthrough Endpoints**: Ensured `PassthroughStandardLoggingPayload` is logged with method, URL, request/response body [PR](https://github.com/BerriAI/litellm/pull/10194)
+- **Fix SQL Injection**: Fixed potential SQL injection vulnerability in spend\_management\_endpoints.py [PR](https://github.com/BerriAI/litellm/pull/9878)
+
+## Helm [](https://docs.litellm.ai/release_notes/tags/session-management\#helm "Direct link to Helm")
+
+- Fixed serviceAccountName on migration job [PR](https://github.com/BerriAI/litellm/pull/10258)
+
+## Full Changelog [](https://docs.litellm.ai/release_notes/tags/session-management\#full-changelog "Direct link to Full Changelog")
+
+The complete list of changes can be found in the [GitHub release notes](https://github.com/BerriAI/litellm/compare/v1.67.0-stable...v1.67.4-stable).
+
+## LiteLLM Release Notes
+[Skip to main content](https://docs.litellm.ai/release_notes/tags/snowflake#__docusaurus_skipToContent_fallback)
+
+These are the changes since `v1.63.11-stable`.
+
+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 [](https://docs.litellm.ai/release_notes/tags/snowflake\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.14-stable.patch1
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/snowflake\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/snowflake\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Azure gpt-4o - fixed pricing to latest global pricing - [PR](https://github.com/BerriAI/litellm/pull/9361)
+- O1-Pro - add pricing + model information - [PR](https://github.com/BerriAI/litellm/pull/9397)
+- Azure AI - mistral 3.1 small pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+- Azure - gpt-4.5-preview pricing added - [PR](https://github.com/BerriAI/litellm/pull/9453)
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/snowflake\#llm-translation "Direct link to LLM Translation")
+
+1. **New LLM Features**
+
+- Bedrock: Support bedrock application inference profiles [Docs](https://docs.litellm.ai/docs/providers/bedrock#bedrock-application-inference-profile)
+ - Infer aws region from bedrock application profile id - ( `arn:aws:bedrock:us-east-1:...`)
+- Ollama - support calling via `/v1/completions` [Get Started](https://docs.litellm.ai/docs/providers/ollama#using-ollama-fim-on-v1completions)
+- Bedrock - support `us.deepseek.r1-v1:0` model name [Docs](https://docs.litellm.ai/docs/providers/bedrock#supported-aws-bedrock-models)
+- OpenRouter - `OPENROUTER_API_BASE` env var support [Docs](https://docs.litellm.ai/docs/providers/openrouter.md)
+- Azure - add audio model parameter support - [Docs](https://docs.litellm.ai/docs/providers/azure#azure-audio-model)
+- OpenAI - PDF File support [Docs](https://docs.litellm.ai/docs/completion/document_understanding#openai-file-message-type)
+- OpenAI - o1-pro Responses API streaming support [Docs](https://docs.litellm.ai/docs/response_api.md#streaming)
+- \[BETA\] MCP - Use MCP Tools with LiteLLM SDK [Docs](https://docs.litellm.ai/docs/mcp)
+
+2. **Bug Fixes**
+
+- Voyage: prompt token on embedding tracking fix - [PR](https://github.com/BerriAI/litellm/commit/56d3e75b330c3c3862dc6e1c51c1210e48f1068e)
+- Sagemaker - Fix ‘Too little data for declared Content-Length’ error - [PR](https://github.com/BerriAI/litellm/pull/9326)
+- OpenAI-compatible models - fix issue when calling openai-compatible models w/ custom\_llm\_provider set - [PR](https://github.com/BerriAI/litellm/pull/9355)
+- VertexAI - Embedding ‘outputDimensionality’ support - [PR](https://github.com/BerriAI/litellm/commit/437dbe724620675295f298164a076cbd8019d304)
+- Anthropic - return consistent json response format on streaming/non-streaming - [PR](https://github.com/BerriAI/litellm/pull/9437)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+- `litellm_proxy/` \- support reading litellm response cost header from proxy, when using client sdk
+- Reset Budget Job - fix budget reset error on keys/teams/users [PR](https://github.com/BerriAI/litellm/pull/9329)
+- Streaming - Prevents final chunk w/ usage from being ignored (impacted bedrock streaming + cost tracking) [PR](https://github.com/BerriAI/litellm/pull/9314)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/snowflake\#ui "Direct link to UI")
+
+1. Users Page
+ - Feature: Control default internal user settings [PR](https://github.com/BerriAI/litellm/pull/9328)
+2. Icons:
+ - Feature: Replace external "artificialanalysis.ai" icons by local svg [PR](https://github.com/BerriAI/litellm/pull/9374)
+3. Sign In/Sign Out
+ - Fix: Default login when `default_user_id` user does not exist in DB [PR](https://github.com/BerriAI/litellm/pull/9395)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/snowflake\#logging-integrations "Direct link to Logging Integrations")
+
+- Support post-call guardrails for streaming responses [Get Started](https://docs.litellm.ai/docs/proxy/guardrails/custom_guardrail#1-write-a-customguardrail-class)
+- Arize [Get Started](https://docs.litellm.ai/docs/observability/arize_integration)
+ - fix invalid package import [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - migrate to using standardloggingpayload for metadata, ensures spans land successfully [PR](https://github.com/BerriAI/litellm/pull/9338)
+ - fix logging to just log the LLM I/O [PR](https://github.com/BerriAI/litellm/pull/9353)
+ - Dynamic API Key/Space param support [Get Started](https://docs.litellm.ai/docs/observability/arize_integration#pass-arize-spacekey-per-request)
+- StandardLoggingPayload - Log litellm\_model\_name in payload. Allows knowing what the model sent to API provider was [Get Started](https://docs.litellm.ai/docs/proxy/logging_spec#standardlogginghiddenparams)
+- Prompt Management - Allow building custom prompt management integration [Get Started](https://docs.litellm.ai/docs/proxy/custom_prompt_management.md)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+- Redis Caching - add 5s default timeout, prevents hanging redis connection from impacting llm calls [PR](https://github.com/BerriAI/litellm/commit/db92956ae33ed4c4e3233d7e1b0c7229817159bf)
+- Allow disabling all spend updates / writes to DB - patch to allow disabling all spend updates to DB with a flag [PR](https://github.com/BerriAI/litellm/pull/9331)
+- Azure OpenAI - correctly re-use azure openai client, fixes perf issue from previous Stable release [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Azure OpenAI - uses litellm.ssl\_verify on Azure/OpenAI clients [PR](https://github.com/BerriAI/litellm/commit/f2026ef907c06d94440930917add71314b901413)
+- Usage-based routing - Wildcard model support [Get Started](https://docs.litellm.ai/docs/proxy/usage_based_routing#wildcard-model-support)
+- Usage-based routing - Support batch writing increments to redis - reduces latency to same as ‘simple-shuffle’ [PR](https://github.com/BerriAI/litellm/pull/9357)
+- Router - show reason for model cooldown on ‘no healthy deployments available error’ [PR](https://github.com/BerriAI/litellm/pull/9438)
+- Caching - add max value limit to an item in in-memory cache (1MB) - prevents OOM errors on large image url’s being sent through proxy [PR](https://github.com/BerriAI/litellm/pull/9448)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#general-improvements "Direct link to General Improvements")
+
+- Passthrough Endpoints - support returning api-base on pass-through endpoints Response Headers [Docs](https://docs.litellm.ai/docs/proxy/response_headers#litellm-specific-headers)
+- SSL - support reading ssl security level from env var - Allows user to specify lower security settings [Get Started](https://docs.litellm.ai/docs/guides/security_settings)
+- Credentials - only poll Credentials table when `STORE_MODEL_IN_DB` is True [PR](https://github.com/BerriAI/litellm/pull/9376)
+- Image URL Handling - new architecture doc on image url handling [Docs](https://docs.litellm.ai/docs/proxy/image_handling)
+- OpenAI - bump to pip install "openai==1.68.2" [PR](https://github.com/BerriAI/litellm/commit/e85e3bc52a9de86ad85c3dbb12d87664ee567a5a)
+- Gunicorn - security fix - bump gunicorn==23.0.0 [PR](https://github.com/BerriAI/litellm/commit/7e9fc92f5c7fea1e7294171cd3859d55384166eb)
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/snowflake\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.11-stable...v1.63.14.rc)
+
+These are the changes since `v1.63.2-stable`.
+
+This release is primarily focused on:
+
+- \[Beta\] Responses API Support
+- Snowflake Cortex Support, Amazon Nova Image Generation
+- UI - Credential Management, re-use credentials when adding new models
+- UI - Test Connection to LLM Provider before adding a model
+
+## Known Issues [](https://docs.litellm.ai/release_notes/tags/snowflake\#known-issues "Direct link to Known Issues")
+
+- 🚨 Known issue on Azure OpenAI - We don't recommend upgrading if you use Azure OpenAI. This version failed our Azure OpenAI load test
+
+## Docker Run LiteLLM Proxy [](https://docs.litellm.ai/release_notes/tags/snowflake\#docker-run-litellm-proxy "Direct link to Docker Run LiteLLM Proxy")
+
+```codeBlockLines_e6Vv
+docker run
+-e STORE_MODEL_IN_DB=True
+-p 4000:4000
+ghcr.io/berriai/litellm:main-v1.63.11-stable
+
+```
+
+## Demo Instance [](https://docs.litellm.ai/release_notes/tags/snowflake\#demo-instance "Direct link to Demo Instance")
+
+Here's a Demo Instance to test changes:
+
+- Instance: [https://demo.litellm.ai/](https://demo.litellm.ai/)
+- Login Credentials:
+ - Username: admin
+ - Password: sk-1234
+
+## New Models / Updated Models [](https://docs.litellm.ai/release_notes/tags/snowflake\#new-models--updated-models "Direct link to New Models / Updated Models")
+
+- Image Generation support for Amazon Nova Canvas [Getting Started](https://docs.litellm.ai/docs/providers/bedrock#image-generation)
+- Add pricing for Jamba new models [PR](https://github.com/BerriAI/litellm/pull/9032/files)
+- Add pricing for Amazon EU models [PR](https://github.com/BerriAI/litellm/pull/9056/files)
+- Add Bedrock Deepseek R1 model pricing [PR](https://github.com/BerriAI/litellm/pull/9108/files)
+- Update Gemini pricing: Gemma 3, Flash 2 thinking update, LearnLM [PR](https://github.com/BerriAI/litellm/pull/9190/files)
+- Mark Cohere Embedding 3 models as Multimodal [PR](https://github.com/BerriAI/litellm/pull/9176/commits/c9a576ce4221fc6e50dc47cdf64ab62736c9da41)
+- Add Azure Data Zone pricing [PR](https://github.com/BerriAI/litellm/pull/9185/files#diff-19ad91c53996e178c1921cbacadf6f3bae20cfe062bd03ee6bfffb72f847ee37)
+ - LiteLLM Tracks cost for `azure/eu` and `azure/us` models
+
+## LLM Translation [](https://docs.litellm.ai/release_notes/tags/snowflake\#llm-translation "Direct link to LLM Translation")
+
+
+
+1. **New Endpoints**
+
+- \[Beta\] POST `/responses` API. [Getting Started](https://docs.litellm.ai/docs/response_api)
+
+2. **New LLM Providers**
+
+- Snowflake Cortex [Getting Started](https://docs.litellm.ai/docs/providers/snowflake)
+
+3. **New LLM Features**
+
+- Support OpenRouter `reasoning_content` on streaming [Getting Started](https://docs.litellm.ai/docs/reasoning_content)
+
+4. **Bug Fixes**
+
+- OpenAI: Return `code`, `param` and `type` on bad request error [More information on litellm exceptions](https://docs.litellm.ai/docs/exception_mapping)
+- Bedrock: Fix converse chunk parsing to only return empty dict on tool use [PR](https://github.com/BerriAI/litellm/pull/9166)
+- Bedrock: Support extra\_headers [PR](https://github.com/BerriAI/litellm/pull/9113)
+- Azure: Fix Function Calling Bug & Update Default API Version to `2025-02-01-preview` [PR](https://github.com/BerriAI/litellm/pull/9191)
+- Azure: Fix AI services URL [PR](https://github.com/BerriAI/litellm/pull/9185)
+- Vertex AI: Handle HTTP 201 status code in response [PR](https://github.com/BerriAI/litellm/pull/9193)
+- Perplexity: Fix incorrect streaming response [PR](https://github.com/BerriAI/litellm/pull/9081)
+- Triton: Fix streaming completions bug [PR](https://github.com/BerriAI/litellm/pull/8386)
+- Deepgram: Support bytes.IO when handling audio files for transcription [PR](https://github.com/BerriAI/litellm/pull/9071)
+- Ollama: Fix "system" role has become unacceptable [PR](https://github.com/BerriAI/litellm/pull/9261)
+- All Providers (Streaming): Fix String `data:` stripped from entire content in streamed responses [PR](https://github.com/BerriAI/litellm/pull/9070)
+
+## Spend Tracking Improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#spend-tracking-improvements "Direct link to Spend Tracking Improvements")
+
+1. Support Bedrock converse cache token tracking [Getting Started](https://docs.litellm.ai/docs/completion/prompt_caching)
+2. Cost Tracking for Responses API [Getting Started](https://docs.litellm.ai/docs/response_api)
+3. Fix Azure Whisper cost tracking [Getting Started](https://docs.litellm.ai/docs/audio_transcription)
+
+## UI [](https://docs.litellm.ai/release_notes/tags/snowflake\#ui "Direct link to UI")
+
+### Re-Use Credentials on UI [](https://docs.litellm.ai/release_notes/tags/snowflake\#re-use-credentials-on-ui "Direct link to Re-Use Credentials on UI")
+
+You can now onboard LLM provider credentials on LiteLLM UI. Once these credentials are added you can re-use them when adding new models [Getting Started](https://docs.litellm.ai/docs/proxy/ui_credentials)
+
+### Test Connections before adding models [](https://docs.litellm.ai/release_notes/tags/snowflake\#test-connections-before-adding-models "Direct link to Test Connections before adding models")
+
+Before adding a model you can test the connection to the LLM provider to verify you have setup your API Base + API Key correctly
+
+
+
+### General UI Improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#general-ui-improvements "Direct link to General UI Improvements")
+
+1. Add Models Page
+ - Allow adding Cerebras, Sambanova, Perplexity, Fireworks, Openrouter, TogetherAI Models, Text-Completion OpenAI on Admin UI
+ - Allow adding EU OpenAI models
+ - Fix: Instantly show edit + deletes to models
+2. Keys Page
+ - Fix: Instantly show newly created keys on Admin UI (don't require refresh)
+ - Fix: Allow clicking into Top Keys when showing users Top API Key
+ - Fix: Allow Filter Keys by Team Alias, Key Alias and Org
+ - UI Improvements: Show 100 Keys Per Page, Use full height, increase width of key alias
+3. Users Page
+ - Fix: Show correct count of internal user keys on Users Page
+ - Fix: Metadata not updating in Team UI
+4. Logs Page
+ - UI Improvements: Keep expanded log in focus on LiteLLM UI
+ - UI Improvements: Minor improvements to logs page
+ - Fix: Allow internal user to query their own logs
+ - Allow switching off storing Error Logs in DB [Getting Started](https://docs.litellm.ai/docs/proxy/ui_logs)
+5. Sign In/Sign Out
+ - Fix: Correctly use `PROXY_LOGOUT_URL` when set [Getting Started](https://docs.litellm.ai/docs/proxy/self_serve#setting-custom-logout-urls)
+
+## Security [](https://docs.litellm.ai/release_notes/tags/snowflake\#security "Direct link to Security")
+
+1. Support for Rotating Master Keys [Getting Started](https://docs.litellm.ai/docs/proxy/master_key_rotations)
+2. Fix: Internal User Viewer Permissions, don't allow `internal_user_viewer` role to see `Test Key Page` or `Create Key Button` [More information on role based access controls](https://docs.litellm.ai/docs/proxy/access_control)
+3. Emit audit logs on All user + model Create/Update/Delete endpoints [Getting Started](https://docs.litellm.ai/docs/proxy/multiple_admins)
+4. JWT
+ - Support multiple JWT OIDC providers [Getting Started](https://docs.litellm.ai/docs/proxy/token_auth)
+ - Fix JWT access with Groups not working when team is assigned All Proxy Models access
+5. Using K/V pairs in 1 AWS Secret [Getting Started](https://docs.litellm.ai/docs/secret#using-kv-pairs-in-1-aws-secret)
+
+## Logging Integrations [](https://docs.litellm.ai/release_notes/tags/snowflake\#logging-integrations "Direct link to Logging Integrations")
+
+1. Prometheus: Track Azure LLM API latency metric [Getting Started](https://docs.litellm.ai/docs/proxy/prometheus#request-latency-metrics)
+2. Athina: Added tags, user\_feedback and model\_options to additional\_keys which can be sent to Athina [Getting Started](https://docs.litellm.ai/docs/observability/athina_integration)
+
+## Performance / Reliability improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#performance--reliability-improvements "Direct link to Performance / Reliability improvements")
+
+1. Redis + litellm router - Fix Redis cluster mode for litellm router [PR](https://github.com/BerriAI/litellm/pull/9010)
+
+## General Improvements [](https://docs.litellm.ai/release_notes/tags/snowflake\#general-improvements "Direct link to General Improvements")
+
+1. OpenWebUI Integration - display `thinking` tokens
+
+- Guide on getting started with LiteLLM x OpenWebUI. [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui)
+- Display `thinking` tokens on OpenWebUI (Bedrock, Anthropic, Deepseek) [Getting Started](https://docs.litellm.ai/docs/tutorials/openweb_ui#render-thinking-content-on-openweb-ui)
+
+
+
+## Complete Git Diff [](https://docs.litellm.ai/release_notes/tags/snowflake\#complete-git-diff "Direct link to Complete Git Diff")
+
+[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.2-stable...v1.63.11-stable)
+
diff --git a/docs/my-website/static/llms.txt b/docs/my-website/static/llms.txt
new file mode 100644
index 0000000000..a0fa82d2ec
--- /dev/null
+++ b/docs/my-website/static/llms.txt
@@ -0,0 +1,52 @@
+# https://docs.litellm.ai/ llms.txt
+
+- [LiteLLM Overview](https://docs.litellm.ai/): Access and manage 100+ LLMs with LiteLLM tools.
+- [Completion Function Guide](https://docs.litellm.ai/completion/input): Guide for using completion function with various models.
+- [Litellm Completion Function](https://docs.litellm.ai/completion/output): Learn about the litellm completion function and its output.
+- [AI Completion Models](https://docs.litellm.ai/completion/supported): Explore various AI completion models and their requirements.
+- [Contact Litellm](https://docs.litellm.ai/contact): Get in touch with Litellm for support and inquiries.
+- [Contributing to Documentation](https://docs.litellm.ai/contributing): Guide for contributing to Litellm documentation and setup.
+- [Supported Embedding Models](https://docs.litellm.ai/embedding/supported_embedding): Overview of supported embedding models and their requirements.
+- [Docusaurus Setup Guide](https://docs.litellm.ai/intro): Quickly learn to set up a Docusaurus site.
+- [Callbacks for Data Output](https://docs.litellm.ai/observability/callbacks): Learn to use callbacks for data output integration.
+- [Helicone Integration Guide](https://docs.litellm.ai/observability/helicone_integration): Integrate Helicone for logging and proxying LLM requests.
+- [Supabase Integration Guide](https://docs.litellm.ai/observability/supabase_integration): Learn to integrate Supabase for logging LLM requests.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes): Explore the latest features and improvements in LiteLLM releases.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes/archive): Comprehensive release notes for LiteLLM updates and features.
+- [LiteLLM Release Tags](https://docs.litellm.ai/release_notes/tags): Explore various tags related to LiteLLM release notes.
+- [LiteLLM Admin UI Updates](https://docs.litellm.ai/release_notes/tags/admin-ui): Explore LiteLLM's admin UI updates and new features.
+- [Alerting Features Updates](https://docs.litellm.ai/release_notes/tags/alerting): Latest updates on alerting features and improvements.
+- [LiteLLM Azure Storage Updates](https://docs.litellm.ai/release_notes/tags/azure-storage): Updates on LiteLLM Stable release and Azure Storage support.
+- [Batch Processing Updates](https://docs.litellm.ai/release_notes/tags/batch): Updates on models, improvements, and integrations for batch processing.
+- [Batches API Features](https://docs.litellm.ai/release_notes/tags/batches): Explore cost tracking, guardrails, and team management features.
+- [Budgets and Rate Limits](https://docs.litellm.ai/release_notes/tags/budgets-rate-limits): Manage budgets and rate limits for LiteLLM keys effectively.
+- [Claude 3.7 Sonnet Release](https://docs.litellm.ai/release_notes/tags/claude-3-7-sonnet): Release notes for Claude 3.7 Sonnet with updates.
+- [Cost Tracking Features](https://docs.litellm.ai/release_notes/tags/cost-tracking): Explore cost tracking features, SCIM integration, and API updates.
+- [Credential Management Updates](https://docs.litellm.ai/release_notes/tags/credential-management): Latest updates on credential management and LLM features.
+- [Custom Auth Features](https://docs.litellm.ai/release_notes/tags/custom-auth): Explore custom authentication features for team management and cost tracking.
+- [LiteLLM v1.65.0 Release](https://docs.litellm.ai/release_notes/tags/custom-prompt-management): New features and improvements in LiteLLM v1.65.0 release.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes/tags/db-schema): Explore LiteLLM's latest updates and improvements in models.
+- [Deepgram Release Notes](https://docs.litellm.ai/release_notes/tags/deepgram): Deepgram integration with speech, vision, and admin features.
+- [Dependency Upgrades](https://docs.litellm.ai/release_notes/tags/dependency-upgrades): Dependency upgrades and new model support for LiteLLM.
+- [Docker Image Release Notes](https://docs.litellm.ai/release_notes/tags/docker-image): LiteLLM Docker image updates for security and migration.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes/tags/fallbacks): Updates on LiteLLM Stable release and new features.
+- [Finetuning Updates and Improvements](https://docs.litellm.ai/release_notes/tags/finetuning): Explore finetuning updates, model improvements, and integrations.
+- [Fireworks AI Updates](https://docs.litellm.ai/release_notes/tags/fireworks-ai): New features and updates for Fireworks AI models and tools.
+- [Guardrails and Logging Updates](https://docs.litellm.ai/release_notes/tags/guardrails): Explore new guardrail features, logging, and model updates.
+- [LLM Features and Updates](https://docs.litellm.ai/release_notes/tags/humanloop): Updates on models, integrations, and improvements in LLM features.
+- [Key Management Overview](https://docs.litellm.ai/release_notes/tags/key-management): Manage keys, budgets, logging, and guardrails effectively.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes/tags/langfuse): Explore new models, improvements, and integrations in LiteLLM.
+- [LLM Translation Updates](https://docs.litellm.ai/release_notes/tags/llm-translation): Latest LLM translation updates and UI improvements released.
+- [LiteLLM Logging Updates](https://docs.litellm.ai/release_notes/tags/logging): Explore LiteLLM logging updates, features, and improvements.
+- [Management Endpoints Updates](https://docs.litellm.ai/release_notes/tags/management-endpoints): Updates on management endpoints for team model handling.
+- [MCP Support Updates](https://docs.litellm.ai/release_notes/tags/mcp): MCP support and usage analytics enhancements in LiteLLM.
+- [LiteLLM New Features](https://docs.litellm.ai/release_notes/tags/new-models): Explore new features, models, and updates for LiteLLM.
+- [Prometheus Integration Updates](https://docs.litellm.ai/release_notes/tags/prometheus): Explore new features and improvements in Prometheus integration.
+- [Prompt Management Updates](https://docs.litellm.ai/release_notes/tags/prompt-management): Explore prompt management updates, model improvements, and integrations.
+- [LLM Translation Updates](https://docs.litellm.ai/release_notes/tags/reasoning-content): Release notes detailing LLM translation and UI improvements.
+- [Release Notes Overview](https://docs.litellm.ai/release_notes/tags/rerank): Latest release notes on LLM translation and UI improvements.
+- [Responses API Release Notes](https://docs.litellm.ai/release_notes/tags/responses-api): Explore the latest updates and features of the Responses API.
+- [Secret Management Updates](https://docs.litellm.ai/release_notes/tags/secret-management): Enhancements in secret management, alerting, and model updates.
+- [LiteLLM Security Updates](https://docs.litellm.ai/release_notes/tags/security): Security updates and features for LiteLLM deployment and management.
+- [Session Management Updates](https://docs.litellm.ai/release_notes/tags/session-management): Enhancements in session management and user handling features.
+- [LiteLLM Release Notes](https://docs.litellm.ai/release_notes/tags/snowflake): Latest updates on LiteLLM features and improvements.
diff --git a/enterprise/dist/litellm_enterprise-0.1.5-py3-none-any.whl b/enterprise/dist/litellm_enterprise-0.1.5-py3-none-any.whl
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diff --git a/enterprise/dist/litellm_enterprise-0.1.6-py3-none-any.whl b/enterprise/dist/litellm_enterprise-0.1.6-py3-none-any.whl
new file mode 100644
index 0000000000..c212c7e5a3
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diff --git a/enterprise/dist/litellm_enterprise-0.1.6.tar.gz b/enterprise/dist/litellm_enterprise-0.1.6.tar.gz
new file mode 100644
index 0000000000..698a9da209
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diff --git a/enterprise/enterprise_hooks/__init__.py b/enterprise/enterprise_hooks/__init__.py
index fa51e45462..9cfe9218f0 100644
--- a/enterprise/enterprise_hooks/__init__.py
+++ b/enterprise/enterprise_hooks/__init__.py
@@ -1,22 +1,14 @@
-import os
from typing import Dict, Literal, Type, Union
from litellm.integrations.custom_logger import CustomLogger
from .managed_files import _PROXY_LiteLLMManagedFiles
-from .parallel_request_limiter_v2 import _PROXY_MaxParallelRequestsHandler
ENTERPRISE_PROXY_HOOKS: Dict[str, Type[CustomLogger]] = {
"managed_files": _PROXY_LiteLLMManagedFiles,
}
-## FEATURE FLAG HOOKS ##
-
-if os.getenv("EXPERIMENTAL_MULTI_INSTANCE_RATE_LIMITING", "false").lower() == "true":
- ENTERPRISE_PROXY_HOOKS["max_parallel_requests"] = _PROXY_MaxParallelRequestsHandler
-
-
def get_enterprise_proxy_hook(
hook_name: Union[
Literal[
diff --git a/enterprise/enterprise_hooks/managed_files.py b/enterprise/enterprise_hooks/managed_files.py
index 0dc86294d3..c752395ac6 100644
--- a/enterprise/enterprise_hooks/managed_files.py
+++ b/enterprise/enterprise_hooks/managed_files.py
@@ -1,29 +1,44 @@
# What is this?
## This hook is used to check for LiteLLM managed files in the request body, and replace them with model-specific file id
+import asyncio
import base64
import json
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union, cast
+from fastapi import HTTPException
+
from litellm import Router, verbose_logger
from litellm.caching.caching import DualCache
from litellm.integrations.custom_logger import CustomLogger
from litellm.litellm_core_utils.prompt_templates.common_utils import extract_file_data
from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
-from litellm.proxy._types import CallTypes, LiteLLM_ManagedFileTable, UserAPIKeyAuth
+from litellm.proxy._types import (
+ CallTypes,
+ LiteLLM_ManagedFileTable,
+ LiteLLM_ManagedObjectTable,
+ UserAPIKeyAuth,
+)
from litellm.proxy.openai_files_endpoints.common_utils import (
_is_base64_encoded_unified_file_id,
convert_b64_uid_to_unified_uid,
)
from litellm.types.llms.openai import (
AllMessageValues,
+ AsyncCursorPage,
ChatCompletionFileObject,
CreateFileRequest,
+ FileObject,
OpenAIFileObject,
OpenAIFilesPurpose,
)
-from litellm.types.utils import LiteLLMBatch, LLMResponseTypes, SpecialEnums
+from litellm.types.utils import (
+ LiteLLMBatch,
+ LiteLLMFineTuningJob,
+ LLMResponseTypes,
+ SpecialEnums,
+)
if TYPE_CHECKING:
from opentelemetry.trace import Span as _Span
@@ -54,6 +69,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
file_object: OpenAIFileObject,
litellm_parent_otel_span: Optional[Span],
model_mappings: Dict[str, str],
+ user_api_key_dict: UserAPIKeyAuth,
) -> None:
verbose_logger.info(
f"Storing LiteLLM Managed File object with id={file_id} in cache"
@@ -62,6 +78,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
unified_file_id=file_id,
file_object=file_object,
model_mappings=model_mappings,
+ flat_model_file_ids=list(model_mappings.values()),
+ created_by=user_api_key_dict.user_id,
+ updated_by=user_api_key_dict.user_id,
)
await self.internal_usage_cache.async_set_cache(
key=file_id,
@@ -74,6 +93,44 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
"unified_file_id": file_id,
"file_object": file_object.model_dump_json(),
"model_mappings": json.dumps(model_mappings),
+ "flat_model_file_ids": list(model_mappings.values()),
+ "created_by": user_api_key_dict.user_id,
+ "updated_by": user_api_key_dict.user_id,
+ }
+ )
+
+ async def store_unified_object_id(
+ self,
+ unified_object_id: str,
+ file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob],
+ litellm_parent_otel_span: Optional[Span],
+ model_object_id: str,
+ file_purpose: Literal["batch", "fine-tune"],
+ user_api_key_dict: UserAPIKeyAuth,
+ ) -> None:
+ verbose_logger.info(
+ f"Storing LiteLLM Managed {file_purpose} object with id={unified_object_id} in cache"
+ )
+ litellm_managed_object = LiteLLM_ManagedObjectTable(
+ unified_object_id=unified_object_id,
+ model_object_id=model_object_id,
+ file_purpose=file_purpose,
+ file_object=file_object,
+ )
+ await self.internal_usage_cache.async_set_cache(
+ key=unified_object_id,
+ value=litellm_managed_object.model_dump(),
+ litellm_parent_otel_span=litellm_parent_otel_span,
+ )
+
+ await self.prisma_client.db.litellm_managedobjecttable.create(
+ data={
+ "unified_object_id": unified_object_id,
+ "file_object": file_object.model_dump_json(),
+ "model_object_id": model_object_id,
+ "file_purpose": file_purpose,
+ "created_by": user_api_key_dict.user_id,
+ "updated_by": user_api_key_dict.user_id,
}
)
@@ -121,6 +178,71 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
return initial_value.file_object
+ async def can_user_call_unified_file_id(
+ self, unified_file_id: str, user_api_key_dict: UserAPIKeyAuth
+ ) -> bool:
+ ## check if the user has access to the unified file id
+ user_id = user_api_key_dict.user_id
+ managed_file = await self.prisma_client.db.litellm_managedfiletable.find_first(
+ where={"unified_file_id": unified_file_id}
+ )
+ if managed_file:
+ return managed_file.created_by == user_id
+ return False
+
+ async def can_user_call_unified_object_id(
+ self, unified_object_id: str, user_api_key_dict: UserAPIKeyAuth
+ ) -> bool:
+ ## check if the user has access to the unified object id
+ ## check if the user has access to the unified object id
+ user_id = user_api_key_dict.user_id
+ managed_object = (
+ await self.prisma_client.db.litellm_managedobjecttable.find_first(
+ where={"unified_object_id": unified_object_id}
+ )
+ )
+ if managed_object:
+ return managed_object.created_by == user_id
+ return False
+
+ async def get_user_created_file_ids(
+ self, user_api_key_dict: UserAPIKeyAuth, model_object_ids: List[str]
+ ) -> List[OpenAIFileObject]:
+ """
+ Get all file ids created by the user for a list of model object ids
+
+ Returns:
+ - List of OpenAIFileObject's
+ """
+ file_ids = await self.prisma_client.db.litellm_managedfiletable.find_many(
+ where={
+ "created_by": user_api_key_dict.user_id,
+ "flat_model_file_ids": {"hasSome": model_object_ids},
+ }
+ )
+ return [OpenAIFileObject(**file_object.file_object) for file_object in file_ids]
+
+ async def check_managed_file_id_access(
+ self, data: Dict, user_api_key_dict: UserAPIKeyAuth
+ ) -> bool:
+ retrieve_file_id = cast(Optional[str], data.get("file_id"))
+ potential_file_id = (
+ _is_base64_encoded_unified_file_id(retrieve_file_id)
+ if retrieve_file_id
+ else False
+ )
+ if potential_file_id and retrieve_file_id:
+ if await self.can_user_call_unified_file_id(
+ retrieve_file_id, user_api_key_dict
+ ):
+ return True
+ else:
+ raise HTTPException(
+ status_code=403,
+ detail=f"User {user_api_key_dict.user_id} does not have access to the file {retrieve_file_id}",
+ )
+ return False
+
async def async_pre_call_hook(
self,
user_api_key_dict: UserAPIKeyAuth,
@@ -137,13 +259,28 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
"rerank",
"acreate_batch",
"aretrieve_batch",
+ "acreate_file",
+ "afile_list",
+ "afile_delete",
"afile_content",
+ "acreate_fine_tuning_job",
+ "aretrieve_fine_tuning_job",
+ "alist_fine_tuning_jobs",
+ "acancel_fine_tuning_job",
],
) -> Union[Exception, str, Dict, None]:
"""
- Detect litellm_proxy/ file_id
- add dictionary of mappings of litellm_proxy/ file_id -> provider_file_id => {litellm_proxy/file_id: {"model_id": id, "file_id": provider_file_id}}
"""
+ ### HANDLE FILE ACCESS ### - ensure user has access to the file
+ if (
+ call_type == CallTypes.afile_content.value
+ or call_type == CallTypes.afile_delete.value
+ ):
+ await self.check_managed_file_id_access(data, user_api_key_dict)
+
+ ### HANDLE TRANSFORMATIONS ###
if call_type == CallTypes.completion.value:
messages = data.get("messages")
if messages:
@@ -176,25 +313,56 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
data["model_file_id_mapping"] = model_file_id_mapping
- elif call_type == CallTypes.aretrieve_batch.value:
- retrieve_batch_id = cast(Optional[str], data.get("batch_id"))
- potential_batch_id = (
- _is_base64_encoded_unified_file_id(retrieve_batch_id)
- if retrieve_batch_id
+ elif (
+ call_type == CallTypes.aretrieve_batch.value
+ or call_type == CallTypes.acancel_fine_tuning_job.value
+ or call_type == CallTypes.aretrieve_fine_tuning_job.value
+ ):
+ accessor_key: Optional[str] = None
+ retrieve_object_id: Optional[str] = None
+ if call_type == CallTypes.aretrieve_batch.value:
+ accessor_key = "batch_id"
+ elif (
+ call_type == CallTypes.acancel_fine_tuning_job.value
+ or call_type == CallTypes.aretrieve_fine_tuning_job.value
+ ):
+ accessor_key = "fine_tuning_job_id"
+
+ if accessor_key:
+ retrieve_object_id = cast(Optional[str], data.get(accessor_key))
+
+ potential_llm_object_id = (
+ _is_base64_encoded_unified_file_id(retrieve_object_id)
+ if retrieve_object_id
else False
)
- if potential_batch_id:
+ if potential_llm_object_id and retrieve_object_id:
+ ## VALIDATE USER HAS ACCESS TO THE OBJECT ##
+ if not await self.can_user_call_unified_object_id(
+ retrieve_object_id, user_api_key_dict
+ ):
+ raise HTTPException(
+ status_code=403,
+ detail=f"User {user_api_key_dict.user_id} does not have access to the object {retrieve_object_id}",
+ )
+
## for managed batch id - get the model id
potential_model_id = self.get_model_id_from_unified_batch_id(
- potential_batch_id
+ potential_llm_object_id
)
if potential_model_id is None:
raise Exception(
- f"LiteLLM Managed Batch ID with id={retrieve_batch_id} is invalid - does not contain encoded model_id."
+ f"LiteLLM Managed {accessor_key} with id={retrieve_object_id} is invalid - does not contain encoded model_id."
)
data["model"] = potential_model_id
- data["batch_id"] = self.get_batch_id_from_unified_batch_id(
- potential_batch_id
+ data[accessor_key] = self.get_batch_id_from_unified_batch_id(
+ potential_llm_object_id
+ )
+ elif call_type == CallTypes.acreate_fine_tuning_job.value:
+ input_file_id = cast(Optional[str], data.get("training_file"))
+ if input_file_id:
+ model_file_id_mapping = await self.get_model_file_id_mapping(
+ [input_file_id], user_api_key_dict.parent_otel_span
)
return data
@@ -205,8 +373,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
"""
Allow modifying the request just before it's sent to the deployment.
"""
+ accessor_key: Optional[str] = None
if call_type and call_type == CallTypes.acreate_batch:
- input_file_id = cast(Optional[str], kwargs.get("input_file_id"))
+ accessor_key = "input_file_id"
+ elif call_type and call_type == CallTypes.acreate_fine_tuning_job:
+ accessor_key = "training_file"
+ else:
+ return kwargs
+
+ if accessor_key:
+ input_file_id = cast(Optional[str], kwargs.get(accessor_key))
model_file_id_mapping = cast(
Optional[Dict[str, Dict[str, str]]], kwargs.get("model_file_id_mapping")
)
@@ -217,7 +393,8 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
model_id, None
)
if mapped_file_id:
- kwargs["input_file_id"] = mapped_file_id
+ kwargs[accessor_key] = mapped_file_id
+
return kwargs
def get_file_ids_from_messages(self, messages: List[AllMessageValues]) -> List[str]:
@@ -305,6 +482,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
llm_router: Router,
target_model_names_list: List[str],
litellm_parent_otel_span: Span,
+ user_api_key_dict: UserAPIKeyAuth,
) -> OpenAIFileObject:
responses = await self.create_file_for_each_model(
llm_router=llm_router,
@@ -337,6 +515,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
file_object=response,
litellm_parent_otel_span=litellm_parent_otel_span,
model_mappings=model_mappings,
+ user_api_key_dict=user_api_key_dict,
)
return response
@@ -383,6 +562,20 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
return response
+ def get_unified_generic_response_id(
+ self, model_id: str, generic_response_id: str
+ ) -> str:
+ unified_generic_response_id = (
+ SpecialEnums.LITELLM_MANAGED_GENERIC_RESPONSE_COMPLETE_STR.value.format(
+ model_id, generic_response_id
+ )
+ )
+ return (
+ base64.urlsafe_b64encode(unified_generic_response_id.encode())
+ .decode()
+ .rstrip("=")
+ )
+
def get_unified_batch_id(self, batch_id: str, model_id: str) -> str:
unified_batch_id = SpecialEnums.LITELLM_MANAGED_BATCH_COMPLETE_STR.value.format(
model_id, batch_id
@@ -427,7 +620,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
def get_batch_id_from_unified_batch_id(self, file_id: str) -> str:
## use regex to get the batch_id from the file_id
- return file_id.split("llm_batch_id:")[1].split(",")[0]
+ if "llm_batch_id" in file_id:
+ return file_id.split("llm_batch_id:")[1].split(",")[0]
+ else:
+ return file_id.split("generic_response_id:")[1].split(",")[0]
async def async_post_call_success_hook(
self, data: Dict, user_api_key_dict: UserAPIKeyAuth, response: LLMResponseTypes
@@ -442,6 +638,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
) # managed batch id
model_id = cast(Optional[str], response._hidden_params.get("model_id"))
model_name = cast(Optional[str], response._hidden_params.get("model_name"))
+ original_response_id = response.id
if (unified_batch_id or unified_file_id) and model_id:
response.id = self.get_unified_batch_id(
batch_id=response.id, model_id=model_id
@@ -455,10 +652,66 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
model_id=model_id,
model_name=model_name,
)
-
- return await super().async_post_call_success_hook(
- data, user_api_key_dict, response
- )
+ asyncio.create_task(
+ self.store_unified_object_id(
+ unified_object_id=response.id,
+ file_object=response,
+ litellm_parent_otel_span=user_api_key_dict.parent_otel_span,
+ model_object_id=original_response_id,
+ file_purpose="batch",
+ user_api_key_dict=user_api_key_dict,
+ )
+ )
+ elif isinstance(response, LiteLLMFineTuningJob):
+ ## Check if unified_file_id is in the response
+ unified_file_id = response._hidden_params.get(
+ "unified_file_id"
+ ) # managed file id
+ unified_finetuning_job_id = response._hidden_params.get(
+ "unified_finetuning_job_id"
+ ) # managed finetuning job id
+ model_id = cast(Optional[str], response._hidden_params.get("model_id"))
+ model_name = cast(Optional[str], response._hidden_params.get("model_name"))
+ original_response_id = response.id
+ if (unified_file_id or unified_finetuning_job_id) and model_id:
+ response.id = self.get_unified_generic_response_id(
+ model_id=model_id, generic_response_id=response.id
+ )
+ asyncio.create_task(
+ self.store_unified_object_id(
+ unified_object_id=response.id,
+ file_object=response,
+ litellm_parent_otel_span=user_api_key_dict.parent_otel_span,
+ model_object_id=original_response_id,
+ file_purpose="fine-tune",
+ user_api_key_dict=user_api_key_dict,
+ )
+ )
+ elif isinstance(response, AsyncCursorPage):
+ """
+ For listing files, filter for the ones created by the user
+ """
+ ## check if file object
+ if hasattr(response, "data") and isinstance(response.data, list):
+ if all(
+ isinstance(file_object, FileObject) for file_object in response.data
+ ):
+ ## Get all file id's
+ ## Check which file id's were created by the user
+ ## Filter the response to only include the files created by the user
+ ## Return the filtered response
+ file_ids = [
+ file_object.id
+ for file_object in cast(List[FileObject], response.data) # type: ignore
+ ]
+ user_created_file_ids = await self.get_user_created_file_ids(
+ user_api_key_dict, file_ids
+ )
+ ## Filter the response to only include the files created by the user
+ response.data = user_created_file_ids # type: ignore
+ return response
+ return response
+ return response
async def afile_retrieve(
self, file_id: str, litellm_parent_otel_span: Optional[Span]
@@ -477,6 +730,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
litellm_parent_otel_span: Optional[Span],
**data: Dict,
) -> List[OpenAIFileObject]:
+ """Handled in files_endpoints.py"""
return []
async def afile_delete(
diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/base_email.py b/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/base_email.py
index d9f3ce46ba..b4b128b624 100644
--- a/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/base_email.py
+++ b/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/base_email.py
@@ -7,6 +7,12 @@ import json
import os
from typing import List, Optional
+from litellm_enterprise.types.enterprise_callbacks.send_emails import (
+ EmailEvent,
+ EmailParams,
+ SendKeyCreatedEmailEvent,
+)
+
from litellm._logging import verbose_proxy_logger
from litellm.integrations.custom_logger import CustomLogger
from litellm.integrations.email_templates.email_footer import EMAIL_FOOTER
@@ -17,10 +23,6 @@ from litellm.integrations.email_templates.user_invitation_email import (
USER_INVITATION_EMAIL_TEMPLATE,
)
from litellm.proxy._types import WebhookEvent
-from litellm.types.enterprise.enterprise_callbacks.send_emails import (
- EmailParams,
- SendKeyCreatedEmailEvent,
-)
from litellm.types.integrations.slack_alerting import LITELLM_LOGO_URL
@@ -33,7 +35,9 @@ class BaseEmailLogger(CustomLogger):
Send email to user after inviting them to the team
"""
email_params = await self._get_email_params(
- user_id=event.user_id, user_email=getattr(event, "user_email", None)
+ email_event=EmailEvent.new_user_invitation,
+ user_id=event.user_id,
+ user_email=getattr(event, "user_email", None),
)
# Implement invitation email logic using email_params
@@ -68,6 +72,7 @@ class BaseEmailLogger(CustomLogger):
email_params = await self._get_email_params(
user_id=send_key_created_email_event.user_id,
user_email=send_key_created_email_event.user_email,
+ email_event=EmailEvent.virtual_key_created,
)
verbose_proxy_logger.debug(
@@ -93,7 +98,10 @@ class BaseEmailLogger(CustomLogger):
pass
async def _get_email_params(
- self, user_id: Optional[str] = None, user_email: Optional[str] = None
+ self,
+ email_event: EmailEvent,
+ user_id: Optional[str] = None,
+ user_email: Optional[str] = None,
) -> EmailParams:
"""
Get common email parameters used across different email sending methods
@@ -113,6 +121,12 @@ class BaseEmailLogger(CustomLogger):
f"User email not found for user_id: {user_id}. User email is required to send email."
)
+ # if user invited event then send invitation link
+ if email_event == EmailEvent.new_user_invitation:
+ base_url = await self._get_invitation_link(
+ user_id=user_id, base_url=base_url
+ )
+
return EmailParams(
logo_url=logo_url,
support_contact=support_contact,
@@ -148,6 +162,52 @@ class BaseEmailLogger(CustomLogger):
return user_row.user_email
return None
+ async def _get_invitation_link(self, user_id: Optional[str], base_url: str) -> str:
+ """
+ Get invitation link for the user
+ """
+ import asyncio
+
+ from litellm.proxy.proxy_server import prisma_client
+
+ ################################################################################
+ ########## Sleep for 10 seconds to wait for the invitation link to be created ###
+ ################################################################################
+ # The UI, calls /invitation/new to generate the invitation link
+ # We wait 10 seconds to ensure the link is created
+ ################################################################################
+ await asyncio.sleep(10)
+
+ if prisma_client is None:
+ verbose_proxy_logger.debug(
+ f"Prisma client not found. Unable to lookup user email for user_id: {user_id}"
+ )
+ return base_url
+
+ if user_id is None:
+ return base_url
+
+ # get the latest invitation link for the user
+ invitation_rows = await prisma_client.db.litellm_invitationlink.find_many(
+ where={"user_id": user_id},
+ order={"created_at": "desc"},
+ )
+ if len(invitation_rows) > 0:
+ invitation_row = invitation_rows[0]
+ return self._construct_invitation_link(
+ invitation_id=invitation_row.id, base_url=base_url
+ )
+
+ return base_url
+
+ def _construct_invitation_link(self, invitation_id: str, base_url: str) -> str:
+ """
+ Construct invitation link for the user
+
+ # http://localhost:4000/ui?invitation_id=7a096b3a-37c6-440f-9dd1-ba22e8043f6b
+ """
+ return f"{base_url}/ui?invitation_id={invitation_id}"
+
async def send_email(
self,
from_email: str,
diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/endpoints.py b/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/endpoints.py
index cc6f0be80f..61681c27ee 100644
--- a/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/endpoints.py
+++ b/enterprise/litellm_enterprise/enterprise_callbacks/send_emails/endpoints.py
@@ -6,11 +6,7 @@ import json
from typing import Dict
from fastapi import APIRouter, Depends, HTTPException
-
-from litellm._logging import verbose_proxy_logger
-from litellm.proxy._types import UserAPIKeyAuth
-from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
-from litellm.types.enterprise.enterprise_callbacks.send_emails import (
+from litellm_enterprise.types.enterprise_callbacks.send_emails import (
DefaultEmailSettings,
EmailEvent,
EmailEventSettings,
@@ -18,6 +14,10 @@ from litellm.types.enterprise.enterprise_callbacks.send_emails import (
EmailEventSettingsUpdateRequest,
)
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+
router = APIRouter()
diff --git a/enterprise/litellm_enterprise/proxy/audit_logging_endpoints.py b/enterprise/litellm_enterprise/proxy/audit_logging_endpoints.py
new file mode 100644
index 0000000000..d1b00420d3
--- /dev/null
+++ b/enterprise/litellm_enterprise/proxy/audit_logging_endpoints.py
@@ -0,0 +1,167 @@
+"""
+AUDIT LOGGING
+
+All /audit logging endpoints. Attempting to write these as CRUD endpoints.
+
+GET - /audit/{id} - Get audit log by id
+GET - /audit - Get all audit logs
+"""
+
+from typing import Any, Dict, Optional
+
+#### AUDIT LOGGING ####
+from fastapi import APIRouter, Depends, HTTPException, Query
+from litellm_enterprise.types.proxy.audit_logging_endpoints import (
+ AuditLogResponse,
+ PaginatedAuditLogResponse,
+)
+
+from litellm.proxy._types import CommonProxyErrors, UserAPIKeyAuth
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+
+router = APIRouter()
+
+
+@router.get(
+ "/audit",
+ tags=["Audit Logging"],
+ dependencies=[Depends(user_api_key_auth)],
+ response_model=PaginatedAuditLogResponse,
+)
+async def get_audit_logs(
+ page: int = Query(1, ge=1),
+ page_size: int = Query(10, ge=1, le=100),
+ # Filter parameters
+ changed_by: Optional[str] = Query(
+ None, description="Filter by user or system that performed the action"
+ ),
+ changed_by_api_key: Optional[str] = Query(
+ None, description="Filter by API key hash that performed the action"
+ ),
+ action: Optional[str] = Query(
+ None, description="Filter by action type (create, update, delete)"
+ ),
+ table_name: Optional[str] = Query(
+ None, description="Filter by table name that was modified"
+ ),
+ object_id: Optional[str] = Query(
+ None, description="Filter by ID of the object that was modified"
+ ),
+ start_date: Optional[str] = Query(None, description="Filter logs after this date"),
+ end_date: Optional[str] = Query(None, description="Filter logs before this date"),
+ # Sorting parameters
+ sort_by: Optional[str] = Query(
+ None,
+ description="Column to sort by (e.g. 'updated_at', 'action', 'table_name')",
+ ),
+ sort_order: str = Query("desc", description="Sort order ('asc' or 'desc')"),
+):
+ """
+ Get all audit logs with filtering and pagination.
+
+ Returns a paginated response of audit logs matching the specified filters.
+ """
+ from litellm.proxy.proxy_server import prisma_client
+
+ if prisma_client is None:
+ raise HTTPException(
+ status_code=500,
+ detail={"message": CommonProxyErrors.db_not_connected_error.value},
+ )
+
+ # Build filter conditions
+ where_conditions: Dict[str, Any] = {}
+ if changed_by:
+ where_conditions["changed_by"] = changed_by
+ if changed_by_api_key:
+ where_conditions["changed_by_api_key"] = changed_by_api_key
+ if action:
+ where_conditions["action"] = action
+ if table_name:
+ where_conditions["table_name"] = table_name
+ if object_id:
+ where_conditions["object_id"] = object_id
+ if start_date or end_date:
+ date_filter = {}
+ if start_date:
+ date_filter["gte"] = start_date
+ if end_date:
+ date_filter["lte"] = end_date
+ where_conditions["updated_at"] = date_filter
+
+ # Build sort conditions
+ order_by = {}
+ if sort_by and isinstance(sort_by, str):
+ order_by[sort_by] = sort_order
+ elif sort_order and isinstance(sort_order, str):
+ order_by["updated_at"] = sort_order # Default sort by updated_at
+
+ # Get paginated results
+ audit_logs = await prisma_client.db.litellm_auditlog.find_many(
+ where=where_conditions,
+ order=order_by,
+ skip=(page - 1) * page_size,
+ take=page_size,
+ )
+
+ # Get total count for pagination
+ total_count = await prisma_client.db.litellm_auditlog.count(where=where_conditions)
+ total_pages = -(-total_count // page_size) # Ceiling division
+
+ # Return paginated response
+ return PaginatedAuditLogResponse(
+ audit_logs=[
+ AuditLogResponse(**audit_log.model_dump()) for audit_log in audit_logs
+ ]
+ if audit_logs
+ else [],
+ total=total_count,
+ page=page,
+ page_size=page_size,
+ total_pages=total_pages,
+ )
+
+
+@router.get(
+ "/audit/{id}",
+ tags=["Audit Logging"],
+ dependencies=[Depends(user_api_key_auth)],
+ response_model=AuditLogResponse,
+ responses={
+ 404: {"description": "Audit log not found"},
+ 500: {"description": "Database connection error"},
+ },
+)
+async def get_audit_log_by_id(
+ id: str, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth)
+):
+ """
+ Get detailed information about a specific audit log entry by its ID.
+
+ Args:
+ id (str): The unique identifier of the audit log entry
+
+ Returns:
+ AuditLogResponse: Detailed information about the audit log entry
+
+ Raises:
+ HTTPException: If the audit log is not found or if there's a database connection error
+ """
+ from litellm.proxy.proxy_server import prisma_client
+
+ if prisma_client is None:
+ raise HTTPException(
+ status_code=500,
+ detail={"message": CommonProxyErrors.db_not_connected_error.value},
+ )
+
+ # Get the audit log by ID
+ audit_log = await prisma_client.db.litellm_auditlog.find_unique(where={"id": id})
+
+ if audit_log is None:
+ raise HTTPException(
+ status_code=404, detail={"message": f"Audit log with ID {id} not found"}
+ )
+
+ # Convert to response model
+ return AuditLogResponse(**audit_log.model_dump())
diff --git a/enterprise/litellm_enterprise/proxy/auth/user_api_key_auth.py b/enterprise/litellm_enterprise/proxy/auth/user_api_key_auth.py
new file mode 100644
index 0000000000..35b4c2a1f3
--- /dev/null
+++ b/enterprise/litellm_enterprise/proxy/auth/user_api_key_auth.py
@@ -0,0 +1,33 @@
+from typing import Any, Optional
+
+from fastapi import Request
+
+from litellm._logging import verbose_proxy_logger
+from litellm.proxy._types import UserAPIKeyAuth
+
+
+async def enterprise_custom_auth(
+ request: Request, api_key: str, user_custom_auth: Optional[Any]
+) -> Optional[UserAPIKeyAuth]:
+ from litellm_enterprise.proxy.proxy_server import custom_auth_settings
+
+ if user_custom_auth is None:
+ return None
+
+ if custom_auth_settings is None:
+ return await user_custom_auth(request, api_key)
+
+ if custom_auth_settings["mode"] == "on":
+ return await user_custom_auth(request, api_key)
+ elif custom_auth_settings["mode"] == "off":
+ return None
+ elif custom_auth_settings["mode"] == "auto":
+ try:
+ return await user_custom_auth(request, api_key)
+ except Exception as e:
+ verbose_proxy_logger.debug(
+ f"Error in custom auth, checking litellm auth: {e}"
+ )
+ return None
+ else:
+ raise ValueError(f"Invalid mode: {custom_auth_settings['mode']}")
diff --git a/enterprise/litellm_enterprise/proxy/enterprise_routes.py b/enterprise/litellm_enterprise/proxy/enterprise_routes.py
index 2420ad2e05..1e4ed58061 100644
--- a/enterprise/litellm_enterprise/proxy/enterprise_routes.py
+++ b/enterprise/litellm_enterprise/proxy/enterprise_routes.py
@@ -4,6 +4,7 @@ from litellm_enterprise.enterprise_callbacks.send_emails.endpoints import (
router as email_events_router,
)
+from .audit_logging_endpoints import router as audit_logging_router
from .guardrails.endpoints import router as guardrails_router
from .utils import _should_block_robots
from .vector_stores.endpoints import router as vector_stores_router
@@ -12,6 +13,7 @@ router = APIRouter()
router.include_router(vector_stores_router)
router.include_router(guardrails_router)
router.include_router(email_events_router)
+router.include_router(audit_logging_router)
@router.get("/robots.txt")
diff --git a/enterprise/litellm_enterprise/proxy/proxy_server.py b/enterprise/litellm_enterprise/proxy/proxy_server.py
new file mode 100644
index 0000000000..96503f172a
--- /dev/null
+++ b/enterprise/litellm_enterprise/proxy/proxy_server.py
@@ -0,0 +1,22 @@
+from typing import Optional
+
+from litellm_enterprise.types.proxy.proxy_server import CustomAuthSettings
+
+custom_auth_settings: Optional[CustomAuthSettings] = None
+
+
+class EnterpriseProxyConfig:
+ async def load_custom_auth_settings(
+ self, general_settings: dict
+ ) -> CustomAuthSettings:
+ custom_auth_settings = general_settings.get("custom_auth_settings", None)
+ if custom_auth_settings is not None:
+ custom_auth_settings = CustomAuthSettings(
+ mode=custom_auth_settings.get("mode"),
+ )
+ return custom_auth_settings
+
+ async def load_enterprise_config(self, general_settings: dict) -> None:
+ global custom_auth_settings
+ custom_auth_settings = await self.load_custom_auth_settings(general_settings)
+ return None
diff --git a/enterprise/litellm_enterprise/proxy/readme.md b/enterprise/litellm_enterprise/proxy/readme.md
index 9ec611fa83..60b07cf49a 100644
--- a/enterprise/litellm_enterprise/proxy/readme.md
+++ b/enterprise/litellm_enterprise/proxy/readme.md
@@ -4,3 +4,8 @@
This directory contains enterprise features used on the LiteLLM proxy.
+## Format
+
+Create a file for every group of endpoints (e.g. `key_management_endpoints.py`, `user_management_endpoints.py`, etc.)
+
+If there is a broader semantic group of endpoints, create a folder for that group (e.g. `management_endpoints`, `auth_endpoints`, etc.)
diff --git a/litellm/types/enterprise/enterprise_callbacks/send_emails.py b/enterprise/litellm_enterprise/types/enterprise_callbacks/send_emails.py
similarity index 100%
rename from litellm/types/enterprise/enterprise_callbacks/send_emails.py
rename to enterprise/litellm_enterprise/types/enterprise_callbacks/send_emails.py
diff --git a/enterprise/litellm_enterprise/types/proxy/audit_logging_endpoints.py b/enterprise/litellm_enterprise/types/proxy/audit_logging_endpoints.py
new file mode 100644
index 0000000000..4615bde2b1
--- /dev/null
+++ b/enterprise/litellm_enterprise/types/proxy/audit_logging_endpoints.py
@@ -0,0 +1,30 @@
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class AuditLogResponse(BaseModel):
+ """Response model for a single audit log entry"""
+
+ id: str
+ updated_at: datetime
+ changed_by: str
+ changed_by_api_key: str
+ action: str
+ table_name: str
+ object_id: str
+ before_value: Optional[Dict[str, Any]] = None
+ updated_values: Optional[Dict[str, Any]] = None
+
+
+class PaginatedAuditLogResponse(BaseModel):
+ """Response model for paginated audit logs"""
+
+ audit_logs: List[AuditLogResponse]
+ total: int = Field(
+ ..., description="Total number of audit logs matching the filters"
+ )
+ page: int = Field(..., description="Current page number")
+ page_size: int = Field(..., description="Number of items per page")
+ total_pages: int = Field(..., description="Total number of pages")
diff --git a/enterprise/litellm_enterprise/types/proxy/proxy_server.py b/enterprise/litellm_enterprise/types/proxy/proxy_server.py
new file mode 100644
index 0000000000..497be59c4b
--- /dev/null
+++ b/enterprise/litellm_enterprise/types/proxy/proxy_server.py
@@ -0,0 +1,5 @@
+from typing import Literal, TypedDict
+
+
+class CustomAuthSettings(TypedDict):
+ mode: Literal["on", "off", "auto"]
diff --git a/enterprise/poetry.lock b/enterprise/poetry.lock
index bb436a168c..f526fec8da 100644
--- a/enterprise/poetry.lock
+++ b/enterprise/poetry.lock
@@ -1,7 +1,7 @@
-# This file is automatically @generated by Poetry 2.1.2 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 = []
[metadata]
-lock-version = "2.1"
+lock-version = "2.0"
python-versions = ">=3.8.1,<4.0, !=3.9.7"
content-hash = "2cf39473e67ff0615f0a61c9d2ac9f02b38cc08cbb1bdb893d89bee002646623"
diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml
index 73b730facc..6fe012679c 100644
--- a/enterprise/pyproject.toml
+++ b/enterprise/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "litellm-enterprise"
-version = "0.1.4"
+version = "0.1.6"
description = "Package for LiteLLM Enterprise features"
authors = ["BerriAI"]
readme = "README.md"
@@ -22,7 +22,7 @@ requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.commitizen]
-version = "0.1.4"
+version = "0.1.6"
version_files = [
"pyproject.toml:version",
"../requirements.txt:litellm-enterprise==",
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20250522223020_managed_object_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250522223020_managed_object_table/migration.sql
new file mode 100644
index 0000000000..95fb837245
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250522223020_managed_object_table/migration.sql
@@ -0,0 +1,32 @@
+-- AlterTable
+ALTER TABLE "LiteLLM_ManagedFileTable" ADD COLUMN "created_by" TEXT,
+ADD COLUMN "flat_model_file_ids" TEXT[] DEFAULT ARRAY[]::TEXT[],
+ADD COLUMN "updated_by" TEXT;
+
+-- CreateTable
+CREATE TABLE "LiteLLM_ManagedObjectTable" (
+ "id" TEXT NOT NULL,
+ "unified_object_id" TEXT NOT NULL,
+ "model_object_id" TEXT NOT NULL,
+ "file_object" JSONB NOT NULL,
+ "file_purpose" TEXT NOT NULL,
+ "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+ "created_by" TEXT,
+ "updated_at" TIMESTAMP(3) NOT NULL,
+ "updated_by" TEXT,
+
+ CONSTRAINT "LiteLLM_ManagedObjectTable_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_ManagedObjectTable_unified_object_id_key" ON "LiteLLM_ManagedObjectTable"("unified_object_id");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "LiteLLM_ManagedObjectTable_model_object_id_key" ON "LiteLLM_ManagedObjectTable"("model_object_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_ManagedObjectTable_unified_object_id_idx" ON "LiteLLM_ManagedObjectTable"("unified_object_id");
+
+-- CreateIndex
+CREATE INDEX "LiteLLM_ManagedObjectTable_model_object_id_idx" ON "LiteLLM_ManagedObjectTable"("model_object_id");
+
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20250526154401_allow_null_entity_id/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250526154401_allow_null_entity_id/migration.sql
new file mode 100644
index 0000000000..0746656a26
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20250526154401_allow_null_entity_id/migration.sql
@@ -0,0 +1,9 @@
+-- AlterTable
+ALTER TABLE "LiteLLM_DailyTagSpend" ALTER COLUMN "tag" DROP NOT NULL;
+
+-- AlterTable
+ALTER TABLE "LiteLLM_DailyTeamSpend" ALTER COLUMN "team_id" DROP NOT NULL;
+
+-- AlterTable
+ALTER TABLE "LiteLLM_DailyUserSpend" ALTER COLUMN "user_id" DROP NOT NULL;
+
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index 1d6f3b5211..71f10f9473 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -356,7 +356,7 @@ model LiteLLM_AuditLog {
// Track daily user spend metrics per model and key
model LiteLLM_DailyUserSpend {
id String @id @default(uuid())
- user_id String
+ user_id String?
date String
api_key String
model String
@@ -383,7 +383,7 @@ model LiteLLM_DailyUserSpend {
// Track daily team spend metrics per model and key
model LiteLLM_DailyTeamSpend {
id String @id @default(uuid())
- team_id String
+ team_id String?
date String
api_key String
model String
@@ -410,7 +410,7 @@ model LiteLLM_DailyTeamSpend {
// Track daily team spend metrics per model and key
model LiteLLM_DailyTagSpend {
id String @id @default(uuid())
- tag String
+ tag String?
date String
api_key String
model String
@@ -453,13 +453,30 @@ model LiteLLM_ManagedFileTable {
id String @id @default(uuid())
unified_file_id String @unique // The base64 encoded unified file ID
file_object Json // Stores the OpenAIFileObject
- model_mappings Json // Stores the mapping of model_id -> provider_file_id
+ model_mappings Json
+ flat_model_file_ids String[] @default([]) // Flat list of model file id's - for faster querying of model id -> unified file id
created_at DateTime @default(now())
+ created_by String?
updated_at DateTime @updatedAt
+ updated_by String?
@@index([unified_file_id])
}
+model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use the
+ id String @id @default(uuid())
+ unified_object_id String @unique // The base64 encoded unified file ID
+ model_object_id String @unique // the id returned by the backend API provider
+ file_object Json // Stores the OpenAIFileObject
+ file_purpose String // either 'batch' or 'fine-tune'
+ created_at DateTime @default(now())
+ created_by String?
+ updated_at DateTime @updatedAt
+ updated_by String?
+
+ @@index([unified_object_id])
+ @@index([model_object_id])
+}
model LiteLLM_ManagedVectorStoresTable {
vector_store_id String @id
diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index 1246a9233c..07fa6a67fb 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "litellm-proxy-extras"
-version = "0.1.21"
+version = "0.2.0"
description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
authors = ["BerriAI"]
readme = "README.md"
@@ -22,7 +22,7 @@ requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.commitizen]
-version = "0.1.21"
+version = "0.2.0"
version_files = [
"pyproject.toml:version",
"../requirements.txt:litellm-proxy-extras==",
diff --git a/litellm/__init__.py b/litellm/__init__.py
index 96c1552c36..bbb937a538 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -118,6 +118,7 @@ _custom_logger_compatible_callbacks_literal = Literal[
"generic_api",
"resend_email",
"smtp_email",
+ "deepeval",
]
logged_real_time_event_types: Optional[Union[List[str], Literal["*"]]] = None
_known_custom_logger_compatible_callbacks: List = list(
@@ -126,28 +127,29 @@ _known_custom_logger_compatible_callbacks: List = list(
callbacks: List[
Union[Callable, _custom_logger_compatible_callbacks_literal, CustomLogger]
] = []
+initialized_langfuse_clients: int = 0
langfuse_default_tags: Optional[List[str]] = None
langsmith_batch_size: Optional[int] = None
prometheus_initialize_budget_metrics: Optional[bool] = False
require_auth_for_metrics_endpoint: 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
-)
-generic_api_use_v1: Optional[bool] = (
- False # if you want to use v1 generic api logged payload
-)
+gcs_pub_sub_use_v1: Optional[
+ bool
+] = False # if you want to use v1 gcs pubsub logged payload
+generic_api_use_v1: Optional[
+ bool
+] = False # if you want to use v1 generic api 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
@@ -155,18 +157,18 @@ 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: int = DEFAULT_MAX_TOKENS # OpenAI Defaults
drop_params = bool(os.getenv("LITELLM_DROP_PARAMS", False))
@@ -247,24 +249,20 @@ 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 = (
DEFAULT_SOFT_BUDGET # by default all litellm proxy keys have a soft budget of 50.0
)
@@ -273,15 +271,11 @@ 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
@@ -304,9 +298,10 @@ 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.
-)
+
+######## Networking Settings ########
+use_aiohttp_transport: bool = True
+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"
)
@@ -320,13 +315,13 @@ 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()
@@ -364,6 +359,8 @@ project = None
config_path = None
vertex_ai_safety_settings: Optional[dict] = None
BEDROCK_CONVERSE_MODELS = [
+ "anthropic.claude-opus-4-20250514-v1:0",
+ "anthropic.claude-sonnet-4-20250514-v1:0",
"anthropic.claude-3-7-sonnet-20250219-v1:0",
"anthropic.claude-3-5-haiku-20241022-v1:0",
"anthropic.claude-3-5-sonnet-20241022-v2:0",
@@ -448,6 +445,7 @@ snowflake_models: List = []
llama_models: List = []
nscale_models: List = []
+
def is_bedrock_pricing_only_model(key: str) -> bool:
"""
Excludes keys with the pattern 'bedrock//'. These are in the model_prices_and_context_window.json file for pricing purposes only.
@@ -1091,6 +1089,7 @@ from .proxy.proxy_cli import run_server
from .router import Router
from .assistants.main import *
from .batches.main import *
+from .images.main import *
from .batch_completion.main import * # type: ignore
from .rerank_api.main import *
from .llms.anthropic.experimental_pass_through.messages.handler import *
@@ -1117,10 +1116,10 @@ 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 7a60359d54..969a9ef148 100644
--- a/litellm/_service_logger.py
+++ b/litellm/_service_logger.py
@@ -276,6 +276,7 @@ class ServiceLogging(CustomLogger):
request_data: dict,
original_exception: Exception,
user_api_key_dict: UserAPIKeyAuth,
+ traceback_str: Optional[str] = None,
):
"""
Hook to track failed litellm-service calls
diff --git a/litellm/caching/in_memory_cache.py b/litellm/caching/in_memory_cache.py
index 532772a654..e9c3f7ba44 100644
--- a/litellm/caching/in_memory_cache.py
+++ b/litellm/caching/in_memory_cache.py
@@ -106,6 +106,18 @@ class InMemoryCache(BaseCache):
# One of the most common causes of memory leaks in Python is the retention of objects that are no longer being used.
# This can occur when an object is referenced by another object, but the reference is never removed.
+ def allow_ttl_override(self, key: str) -> bool:
+ """
+ Check if ttl is set for a key
+ """
+ ttl_time = self.ttl_dict.get(key)
+ if ttl_time is None: # if ttl is not set, allow override
+ return True
+ elif float(ttl_time) < time.time(): # if ttl is expired, allow override
+ return True
+ else:
+ return False
+
def set_cache(self, key, value, **kwargs):
if len(self.cache_dict) >= self.max_size_in_memory:
# only evict when cache is full
@@ -114,10 +126,11 @@ class InMemoryCache(BaseCache):
return
self.cache_dict[key] = value
- if "ttl" in kwargs and kwargs["ttl"] is not None:
- self.ttl_dict[key] = time.time() + kwargs["ttl"]
- else:
- self.ttl_dict[key] = time.time() + self.default_ttl
+ if self.allow_ttl_override(key): # if ttl is not set, set it to default ttl
+ if "ttl" in kwargs and kwargs["ttl"] is not None:
+ self.ttl_dict[key] = time.time() + kwargs["ttl"]
+ else:
+ self.ttl_dict[key] = time.time() + self.default_ttl
async def async_set_cache(self, key, value, **kwargs):
self.set_cache(key=key, value=value, **kwargs)
@@ -145,6 +158,7 @@ class InMemoryCache(BaseCache):
if key in self.ttl_dict:
if time.time() > self.ttl_dict[key]:
self.cache_dict.pop(key, None)
+ self.ttl_dict.pop(key, None)
return None
original_cached_response = self.cache_dict[key]
try:
diff --git a/litellm/constants.py b/litellm/constants.py
index cf12ec60f0..50df19bb7f 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -141,6 +141,7 @@ DEFAULT_MAX_TOKENS_FOR_TRITON = int(os.getenv("DEFAULT_MAX_TOKENS_FOR_TRITON", 2
#### Networking settings ####
request_timeout: float = float(os.getenv("REQUEST_TIMEOUT", 6000)) # time in seconds
STREAM_SSE_DONE_STRING: str = "[DONE]"
+STREAM_SSE_DATA_PREFIX: str = "data: "
### SPEND TRACKING ###
DEFAULT_REPLICATE_GPU_PRICE_PER_SECOND = float(
os.getenv("DEFAULT_REPLICATE_GPU_PRICE_PER_SECOND", 0.001400)
@@ -152,13 +153,18 @@ FIREWORKS_AI_16_B = int(os.getenv("FIREWORKS_AI_16_B", 16))
FIREWORKS_AI_80_B = int(os.getenv("FIREWORKS_AI_80_B", 80))
#### Logging callback constants ####
REDACTED_BY_LITELM_STRING = "REDACTED_BY_LITELM"
+MAX_LANGFUSE_INITIALIZED_CLIENTS = int(
+ os.getenv("MAX_LANGFUSE_INITIALIZED_CLIENTS", 20)
+)
+############### LLM Provider Constants ###############
### ANTHROPIC CONSTANTS ###
ANTHROPIC_WEB_SEARCH_TOOL_MAX_USES = {
"low": 1,
"medium": 5,
"high": 10,
}
+DEFAULT_IMAGE_ENDPOINT_MODEL = "dall-e-2"
LITELLM_CHAT_PROVIDERS = [
"openai",
@@ -230,7 +236,7 @@ LITELLM_CHAT_PROVIDERS = [
LITELLM_EMBEDDING_PROVIDERS_SUPPORTING_INPUT_ARRAY_OF_TOKENS = [
"openai",
"azure",
- "hosted_vllm"
+ "hosted_vllm",
]
@@ -276,6 +282,46 @@ OPENAI_CHAT_COMPLETION_PARAMS = [
"web_search_options",
]
+DEFAULT_CHAT_COMPLETION_PARAM_VALUES = {
+ "functions": None,
+ "function_call": None,
+ "temperature": None,
+ "top_p": None,
+ "n": None,
+ "stream": None,
+ "stream_options": None,
+ "stop": None,
+ "max_tokens": None,
+ "max_completion_tokens": None,
+ "modalities": None,
+ "prediction": None,
+ "audio": None,
+ "presence_penalty": None,
+ "frequency_penalty": None,
+ "logit_bias": None,
+ "user": None,
+ "model": None,
+ "custom_llm_provider": "",
+ "response_format": None,
+ "seed": None,
+ "tools": None,
+ "tool_choice": None,
+ "max_retries": None,
+ "logprobs": None,
+ "top_logprobs": None,
+ "extra_headers": None,
+ "api_version": None,
+ "parallel_tool_calls": None,
+ "drop_params": None,
+ "allowed_openai_params": None,
+ "additional_drop_params": None,
+ "messages": None,
+ "reasoning_effort": None,
+ "thinking": None,
+ "web_search_options": None,
+}
+
+
openai_compatible_endpoints: List = [
"api.perplexity.ai",
"api.endpoints.anyscale.com/v1",
@@ -593,6 +639,7 @@ PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES = int(
os.getenv("PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES", 5)
)
MCP_TOOL_NAME_PREFIX = "mcp_tool"
+MAXIMUM_TRACEBACK_LINES_TO_LOG = int(os.getenv("MAXIMUM_TRACEBACK_LINES_TO_LOG", 100))
########################### LiteLLM Proxy Specific Constants ###########################
########################################################################################
@@ -665,3 +712,8 @@ LENGTH_OF_LITELLM_GENERATED_KEY = int(os.getenv("LENGTH_OF_LITELLM_GENERATED_KEY
SECRET_MANAGER_REFRESH_INTERVAL = int(
os.getenv("SECRET_MANAGER_REFRESH_INTERVAL", 86400)
)
+LITELLM_SETTINGS_SAFE_DB_OVERRIDES = ["default_internal_user_params"]
+SPECIAL_LITELLM_AUTH_TOKEN = ["ui-token"]
+DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL = int(
+ os.getenv("DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL", 60)
+)
diff --git a/litellm/fine_tuning/main.py b/litellm/fine_tuning/main.py
index b7efcb40d4..f5b8b09702 100644
--- a/litellm/fine_tuning/main.py
+++ b/litellm/fine_tuning/main.py
@@ -22,12 +22,9 @@ from litellm.llms.azure.fine_tuning.handler import AzureOpenAIFineTuningAPI
from litellm.llms.openai.fine_tuning.handler import OpenAIFineTuningAPI
from litellm.llms.vertex_ai.fine_tuning.handler import VertexFineTuningAPI
from litellm.secret_managers.main import get_secret_str
-from litellm.types.llms.openai import (
- FineTuningJob,
- FineTuningJobCreate,
- Hyperparameters,
-)
+from litellm.types.llms.openai import FineTuningJobCreate, Hyperparameters
from litellm.types.router import *
+from litellm.types.utils import LiteLLMFineTuningJob
from litellm.utils import client, supports_httpx_timeout
####### ENVIRONMENT VARIABLES ###################
@@ -50,7 +47,7 @@ async def acreate_fine_tuning_job(
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> FineTuningJob:
+) -> LiteLLMFineTuningJob:
"""
Async: Creates and executes a batch from an uploaded file of request
@@ -104,7 +101,7 @@ def create_fine_tuning_job(
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> Union[FineTuningJob, Coroutine[Any, Any, FineTuningJob]]:
+) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
"""
Creates a fine-tuning job which begins the process of creating a new model from a given dataset.
@@ -288,13 +285,14 @@ def create_fine_tuning_job(
raise e
+@client
async def acancel_fine_tuning_job(
fine_tuning_job_id: str,
custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> FineTuningJob:
+) -> LiteLLMFineTuningJob:
"""
Async: Immediately cancel a fine-tune job.
"""
@@ -325,13 +323,14 @@ async def acancel_fine_tuning_job(
raise e
+@client
def cancel_fine_tuning_job(
fine_tuning_job_id: str,
custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> Union[FineTuningJob, Coroutine[Any, Any, FineTuningJob]]:
+) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
"""
Immediately cancel a fine-tune job.
@@ -609,13 +608,14 @@ def list_fine_tuning_jobs(
raise e
+@client
async def aretrieve_fine_tuning_job(
fine_tuning_job_id: str,
custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> FineTuningJob:
+) -> LiteLLMFineTuningJob:
"""
Async: Get info about a fine-tuning job.
"""
@@ -646,13 +646,14 @@ async def aretrieve_fine_tuning_job(
raise e
+@client
def retrieve_fine_tuning_job(
fine_tuning_job_id: str,
custom_llm_provider: Literal["openai", "azure", "vertex_ai"] = "openai",
extra_headers: Optional[Dict[str, str]] = None,
extra_body: Optional[Dict[str, str]] = None,
**kwargs,
-) -> Union[FineTuningJob, Coroutine[Any, Any, FineTuningJob]]:
+) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
"""
Get info about a fine-tuning job.
"""
diff --git a/litellm/images/__init__.py b/litellm/images/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/litellm/images/main.py b/litellm/images/main.py
new file mode 100644
index 0000000000..8270879ba8
--- /dev/null
+++ b/litellm/images/main.py
@@ -0,0 +1,736 @@
+import asyncio
+import contextvars
+from functools import partial
+from typing import Any, Coroutine, Dict, Literal, Optional, Union, cast
+
+import httpx
+
+import litellm
+from litellm import Logging, client, exception_type, get_litellm_params
+from litellm.constants import DEFAULT_IMAGE_ENDPOINT_MODEL
+from litellm.constants import request_timeout as DEFAULT_REQUEST_TIMEOUT
+from litellm.exceptions import LiteLLMUnknownProvider
+from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+from litellm.litellm_core_utils.mock_functions import mock_image_generation
+from litellm.llms.base_llm import BaseImageEditConfig, BaseImageGenerationConfig
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
+from litellm.llms.custom_llm import CustomLLM
+
+#################### Initialize provider clients ####################
+from litellm.main import (
+ azure_chat_completions,
+ base_llm_aiohttp_handler,
+ base_llm_http_handler,
+ bedrock_image_generation,
+ openai_chat_completions,
+ openai_image_variations,
+ vertex_image_generation,
+)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.images.main import ImageEditOptionalRequestParams
+from litellm.types.llms.openai import ImageGenerationRequestQuality
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import (
+ LITELLM_IMAGE_VARIATION_PROVIDERS,
+ FileTypes,
+ LlmProviders,
+ all_litellm_params,
+)
+from litellm.utils import (
+ ImageResponse,
+ ProviderConfigManager,
+ get_llm_provider,
+ get_optional_params_image_gen,
+)
+
+from .utils import ImageEditRequestUtils
+
+
+##### Image Generation #######################
+@client
+async def aimage_generation(*args, **kwargs) -> ImageResponse:
+ """
+ Asynchronously calls the `image_generation` function with the given arguments and keyword arguments.
+
+ Parameters:
+ - `args` (tuple): Positional arguments to be passed to the `image_generation` function.
+ - `kwargs` (dict): Keyword arguments to be passed to the `image_generation` function.
+
+ Returns:
+ - `response` (Any): The response returned by the `image_generation` function.
+ """
+ loop = asyncio.get_event_loop()
+ model = args[0] if len(args) > 0 else kwargs["model"]
+ ### PASS ARGS TO Image Generation ###
+ kwargs["aimg_generation"] = True
+ custom_llm_provider = None
+ try:
+ # Use a partial function to pass your keyword arguments
+ func = partial(image_generation, *args, **kwargs)
+
+ # Add the context to the function
+ ctx = contextvars.copy_context()
+ func_with_context = partial(ctx.run, func)
+
+ _, custom_llm_provider, _, _ = get_llm_provider(
+ model=model, api_base=kwargs.get("api_base", None)
+ )
+
+ # Await normally
+ init_response = await loop.run_in_executor(None, func_with_context)
+ if isinstance(init_response, dict) or isinstance(
+ init_response, ImageResponse
+ ): ## CACHING SCENARIO
+ if isinstance(init_response, dict):
+ init_response = ImageResponse(**init_response)
+ response = init_response
+ elif asyncio.iscoroutine(init_response):
+ response = await init_response # type: ignore
+ else:
+ # Call the synchronous function using run_in_executor
+ response = await loop.run_in_executor(None, func_with_context)
+ return response
+ except Exception as e:
+ custom_llm_provider = custom_llm_provider or "openai"
+ raise exception_type(
+ model=model,
+ custom_llm_provider=custom_llm_provider,
+ original_exception=e,
+ completion_kwargs=args,
+ extra_kwargs=kwargs,
+ )
+
+
+@client
+def image_generation( # noqa: PLR0915
+ prompt: str,
+ model: Optional[str] = None,
+ n: Optional[int] = None,
+ quality: Optional[Union[str, ImageGenerationRequestQuality]] = None,
+ response_format: Optional[str] = None,
+ size: Optional[str] = None,
+ style: Optional[str] = None,
+ user: Optional[str] = None,
+ timeout=600, # default to 10 minutes
+ api_key: Optional[str] = None,
+ api_base: Optional[str] = None,
+ api_version: Optional[str] = None,
+ custom_llm_provider=None,
+ **kwargs,
+) -> ImageResponse:
+ """
+ Maps the https://api.openai.com/v1/images/generations endpoint.
+
+ Currently supports just Azure + OpenAI.
+ """
+ try:
+ args = locals()
+ aimg_generation = kwargs.get("aimg_generation", False)
+ litellm_call_id = kwargs.get("litellm_call_id", None)
+ logger_fn = kwargs.get("logger_fn", None)
+ mock_response: Optional[str] = kwargs.get("mock_response", None) # type: ignore
+ proxy_server_request = kwargs.get("proxy_server_request", None)
+ azure_ad_token_provider = kwargs.get("azure_ad_token_provider", None)
+ model_info = kwargs.get("model_info", None)
+ metadata = kwargs.get("metadata", {})
+ litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore
+ client = kwargs.get("client", None)
+ extra_headers = kwargs.get("extra_headers", None)
+ headers: dict = kwargs.get("headers", None) or {}
+ base_model = kwargs.get("base_model", None)
+ if extra_headers is not None:
+ headers.update(extra_headers)
+ model_response: ImageResponse = litellm.utils.ImageResponse()
+ dynamic_api_key: Optional[str] = None
+ if model is not None or custom_llm_provider is not None:
+ model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
+ model=model, # type: ignore
+ custom_llm_provider=custom_llm_provider,
+ api_base=api_base,
+ )
+ else:
+ model = "dall-e-2"
+ custom_llm_provider = "openai" # default to dall-e-2 on openai
+ model_response._hidden_params["model"] = model
+ openai_params = [
+ "user",
+ "request_timeout",
+ "api_base",
+ "api_version",
+ "api_key",
+ "deployment_id",
+ "organization",
+ "base_url",
+ "default_headers",
+ "timeout",
+ "max_retries",
+ "n",
+ "quality",
+ "size",
+ "style",
+ ]
+ litellm_params = all_litellm_params
+ default_params = openai_params + litellm_params
+ non_default_params = {
+ k: v for k, v in kwargs.items() if k not in default_params
+ } # model-specific params - pass them straight to the model/provider
+
+ image_generation_config: Optional[BaseImageGenerationConfig] = None
+ if (
+ custom_llm_provider is not None
+ and custom_llm_provider in LlmProviders._member_map_.values()
+ ):
+ image_generation_config = (
+ ProviderConfigManager.get_provider_image_generation_config(
+ model=base_model or model,
+ provider=LlmProviders(custom_llm_provider),
+ )
+ )
+
+ optional_params = get_optional_params_image_gen(
+ model=base_model or model,
+ n=n,
+ quality=quality,
+ response_format=response_format,
+ size=size,
+ style=style,
+ user=user,
+ custom_llm_provider=custom_llm_provider,
+ provider_config=image_generation_config,
+ **non_default_params,
+ )
+
+ litellm_params_dict = get_litellm_params(**kwargs)
+
+ logging: Logging = litellm_logging_obj
+ logging.update_environment_variables(
+ model=model,
+ user=user,
+ optional_params=optional_params,
+ litellm_params={
+ "timeout": timeout,
+ "azure": False,
+ "litellm_call_id": litellm_call_id,
+ "logger_fn": logger_fn,
+ "proxy_server_request": proxy_server_request,
+ "model_info": model_info,
+ "metadata": metadata,
+ "preset_cache_key": None,
+ "stream_response": {},
+ },
+ custom_llm_provider=custom_llm_provider,
+ )
+ if "custom_llm_provider" not in logging.model_call_details:
+ logging.model_call_details["custom_llm_provider"] = custom_llm_provider
+ if mock_response is not None:
+ return mock_image_generation(model=model, mock_response=mock_response)
+
+ if custom_llm_provider == "azure":
+ # azure configs
+ api_type = get_secret_str("AZURE_API_TYPE") or "azure"
+
+ api_base = api_base or litellm.api_base or get_secret_str("AZURE_API_BASE")
+
+ api_version = (
+ api_version
+ or litellm.api_version
+ or get_secret_str("AZURE_API_VERSION")
+ )
+
+ api_key = (
+ api_key
+ or litellm.api_key
+ or litellm.azure_key
+ or get_secret_str("AZURE_OPENAI_API_KEY")
+ or get_secret_str("AZURE_API_KEY")
+ )
+
+ azure_ad_token = optional_params.pop(
+ "azure_ad_token", None
+ ) or get_secret_str("AZURE_AD_TOKEN")
+
+ default_headers = {
+ "Content-Type": "application/json;",
+ "api-key": api_key,
+ }
+ for k, v in default_headers.items():
+ if k not in headers:
+ headers[k] = v
+
+ model_response = azure_chat_completions.image_generation(
+ model=model,
+ prompt=prompt,
+ timeout=timeout,
+ api_key=api_key,
+ api_base=api_base,
+ azure_ad_token=azure_ad_token,
+ azure_ad_token_provider=azure_ad_token_provider,
+ logging_obj=litellm_logging_obj,
+ optional_params=optional_params,
+ model_response=model_response,
+ api_version=api_version,
+ aimg_generation=aimg_generation,
+ client=client,
+ headers=headers,
+ litellm_params=litellm_params_dict,
+ )
+ elif (
+ custom_llm_provider == "openai"
+ or custom_llm_provider in litellm.openai_compatible_providers
+ ):
+ model_response = openai_chat_completions.image_generation(
+ model=model,
+ prompt=prompt,
+ timeout=timeout,
+ api_key=api_key or dynamic_api_key,
+ api_base=api_base,
+ logging_obj=litellm_logging_obj,
+ optional_params=optional_params,
+ model_response=model_response,
+ aimg_generation=aimg_generation,
+ client=client,
+ )
+ elif custom_llm_provider == "bedrock":
+ if model is None:
+ raise Exception("Model needs to be set for bedrock")
+ model_response = bedrock_image_generation.image_generation( # type: ignore
+ model=model,
+ prompt=prompt,
+ timeout=timeout,
+ logging_obj=litellm_logging_obj,
+ optional_params=optional_params,
+ model_response=model_response,
+ aimg_generation=aimg_generation,
+ client=client,
+ )
+ elif custom_llm_provider == "vertex_ai":
+ vertex_ai_project = (
+ optional_params.pop("vertex_project", None)
+ or optional_params.pop("vertex_ai_project", None)
+ or litellm.vertex_project
+ or get_secret_str("VERTEXAI_PROJECT")
+ )
+ vertex_ai_location = (
+ optional_params.pop("vertex_location", None)
+ or optional_params.pop("vertex_ai_location", None)
+ or litellm.vertex_location
+ or get_secret_str("VERTEXAI_LOCATION")
+ )
+ vertex_credentials = (
+ optional_params.pop("vertex_credentials", None)
+ 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,
+ timeout=timeout,
+ logging_obj=litellm_logging_obj,
+ optional_params=optional_params,
+ model_response=model_response,
+ vertex_project=vertex_ai_project,
+ 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
+ ): # Assume custom LLM provider
+ # Get the Custom Handler
+ custom_handler: Optional[CustomLLM] = None
+ for item in litellm.custom_provider_map:
+ if item["provider"] == custom_llm_provider:
+ custom_handler = item["custom_handler"]
+
+ if custom_handler is None:
+ raise LiteLLMUnknownProvider(
+ model=model, custom_llm_provider=custom_llm_provider
+ )
+
+ ## ROUTE LLM CALL ##
+ if aimg_generation is True:
+ async_custom_client: Optional[AsyncHTTPHandler] = None
+ if client is not None and isinstance(client, AsyncHTTPHandler):
+ async_custom_client = client
+
+ ## CALL FUNCTION
+ model_response = custom_handler.aimage_generation( # type: ignore
+ model=model,
+ prompt=prompt,
+ api_key=api_key,
+ api_base=api_base,
+ model_response=model_response,
+ optional_params=optional_params,
+ logging_obj=litellm_logging_obj,
+ timeout=timeout,
+ client=async_custom_client,
+ )
+ else:
+ custom_client: Optional[HTTPHandler] = None
+ if client is not None and isinstance(client, HTTPHandler):
+ custom_client = client
+
+ ## CALL FUNCTION
+ model_response = custom_handler.image_generation(
+ model=model,
+ prompt=prompt,
+ api_key=api_key,
+ api_base=api_base,
+ model_response=model_response,
+ optional_params=optional_params,
+ logging_obj=litellm_logging_obj,
+ timeout=timeout,
+ client=custom_client,
+ )
+
+ return model_response
+ except Exception as e:
+ ## Map to OpenAI Exception
+ raise exception_type(
+ model=model,
+ custom_llm_provider=custom_llm_provider,
+ original_exception=e,
+ completion_kwargs=locals(),
+ extra_kwargs=kwargs,
+ )
+
+
+@client
+async def aimage_variation(*args, **kwargs) -> ImageResponse:
+ """
+ Asynchronously calls the `image_variation` function with the given arguments and keyword arguments.
+
+ Parameters:
+ - `args` (tuple): Positional arguments to be passed to the `image_variation` function.
+ - `kwargs` (dict): Keyword arguments to be passed to the `image_variation` function.
+
+ Returns:
+ - `response` (Any): The response returned by the `image_variation` function.
+ """
+ loop = asyncio.get_event_loop()
+ model = kwargs.get("model", None)
+ custom_llm_provider = kwargs.get("custom_llm_provider", None)
+ ### PASS ARGS TO Image Generation ###
+ kwargs["async_call"] = True
+ try:
+ # Use a partial function to pass your keyword arguments
+ func = partial(image_variation, *args, **kwargs)
+
+ # Add the context to the function
+ ctx = contextvars.copy_context()
+ func_with_context = partial(ctx.run, func)
+
+ if custom_llm_provider is None and model is not None:
+ _, custom_llm_provider, _, _ = get_llm_provider(
+ model=model, api_base=kwargs.get("api_base", None)
+ )
+
+ # Await normally
+ init_response = await loop.run_in_executor(None, func_with_context)
+ if isinstance(init_response, dict) or isinstance(
+ init_response, ImageResponse
+ ): ## CACHING SCENARIO
+ if isinstance(init_response, dict):
+ init_response = ImageResponse(**init_response)
+ response = init_response
+ elif asyncio.iscoroutine(init_response):
+ response = await init_response # type: ignore
+ else:
+ # Call the synchronous function using run_in_executor
+ response = await loop.run_in_executor(None, func_with_context)
+ return response
+ except Exception as e:
+ custom_llm_provider = custom_llm_provider or "openai"
+ raise exception_type(
+ model=model,
+ custom_llm_provider=custom_llm_provider,
+ original_exception=e,
+ completion_kwargs=args,
+ extra_kwargs=kwargs,
+ )
+
+
+@client
+def image_variation(
+ image: FileTypes,
+ model: str = "dall-e-2", # set to dall-e-2 by default - like OpenAI.
+ n: int = 1,
+ response_format: Literal["url", "b64_json"] = "url",
+ size: Optional[str] = None,
+ user: Optional[str] = None,
+ **kwargs,
+) -> ImageResponse:
+ # get non-default params
+ client = kwargs.get("client", None)
+ # get logging object
+ litellm_logging_obj = cast(LiteLLMLoggingObj, kwargs.get("litellm_logging_obj"))
+
+ # get the litellm params
+ litellm_params = get_litellm_params(**kwargs)
+ # get the custom llm provider
+ model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
+ model=model,
+ custom_llm_provider=litellm_params.get("custom_llm_provider", None),
+ api_base=litellm_params.get("api_base", None),
+ api_key=litellm_params.get("api_key", None),
+ )
+
+ # route to the correct provider w/ the params
+ try:
+ llm_provider = LlmProviders(custom_llm_provider)
+ image_variation_provider = LITELLM_IMAGE_VARIATION_PROVIDERS(llm_provider)
+ except ValueError:
+ raise ValueError(
+ f"Invalid image variation provider: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
+ )
+ model_response = ImageResponse()
+
+ response: Optional[ImageResponse] = None
+
+ provider_config = ProviderConfigManager.get_provider_model_info(
+ model=model or "", # openai defaults to dall-e-2
+ provider=llm_provider,
+ )
+
+ if provider_config is None:
+ raise ValueError(
+ f"image variation provider has no known model info config - required for getting api keys, etc.: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
+ )
+
+ api_key = provider_config.get_api_key(litellm_params.get("api_key", None))
+ api_base = provider_config.get_api_base(litellm_params.get("api_base", None))
+
+ if image_variation_provider == LITELLM_IMAGE_VARIATION_PROVIDERS.OPENAI:
+ if api_key is None:
+ raise ValueError("API key is required for OpenAI image variations")
+ if api_base is None:
+ raise ValueError("API base is required for OpenAI image variations")
+
+ response = openai_image_variations.image_variations(
+ model_response=model_response,
+ api_key=api_key,
+ api_base=api_base,
+ model=model,
+ image=image,
+ timeout=litellm_params.get("timeout", None),
+ custom_llm_provider=custom_llm_provider,
+ logging_obj=litellm_logging_obj,
+ optional_params={},
+ litellm_params=litellm_params,
+ )
+ elif image_variation_provider == LITELLM_IMAGE_VARIATION_PROVIDERS.TOPAZ:
+ if api_key is None:
+ raise ValueError("API key is required for Topaz image variations")
+ if api_base is None:
+ raise ValueError("API base is required for Topaz image variations")
+
+ response = base_llm_aiohttp_handler.image_variations(
+ model_response=model_response,
+ api_key=api_key,
+ api_base=api_base,
+ model=model,
+ image=image,
+ timeout=litellm_params.get("timeout", None) or DEFAULT_REQUEST_TIMEOUT,
+ custom_llm_provider=custom_llm_provider,
+ logging_obj=litellm_logging_obj,
+ optional_params={},
+ litellm_params=litellm_params,
+ client=client,
+ )
+
+ # return the response
+ if response is None:
+ raise ValueError(
+ f"Invalid image variation provider: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
+ )
+ return response
+
+
+@client
+def image_edit(
+ image: FileTypes,
+ prompt: str,
+ model: Optional[str] = None,
+ mask: Optional[str] = None,
+ n: Optional[int] = None,
+ quality: Optional[Union[str, ImageGenerationRequestQuality]] = None,
+ response_format: Optional[str] = None,
+ size: Optional[str] = None,
+ user: Optional[str] = None,
+ # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+ # The extra values given here take precedence over values defined on the client or passed to this method.
+ extra_headers: Optional[Dict[str, Any]] = None,
+ extra_query: Optional[Dict[str, Any]] = None,
+ extra_body: Optional[Dict[str, Any]] = None,
+ timeout: Optional[Union[float, httpx.Timeout]] = None,
+ # LiteLLM specific params,
+ custom_llm_provider: Optional[str] = None,
+ **kwargs,
+) -> Union[ImageResponse, Coroutine[Any, Any, ImageResponse]]:
+ """
+ Maps the image edit functionality, similar to OpenAI's images/edits endpoint.
+ """
+ local_vars = locals()
+ try:
+ litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore
+ litellm_call_id: Optional[str] = kwargs.get("litellm_call_id", None)
+ _is_async = kwargs.pop("async_call", False) is True
+
+ # get llm provider logic
+ litellm_params = GenericLiteLLMParams(**kwargs)
+ model, custom_llm_provider, _, _ = get_llm_provider(
+ model=model or DEFAULT_IMAGE_ENDPOINT_MODEL,
+ custom_llm_provider=custom_llm_provider,
+ )
+
+ # get provider config
+ image_edit_provider_config: Optional[
+ BaseImageEditConfig
+ ] = ProviderConfigManager.get_provider_image_edit_config(
+ model=model,
+ provider=litellm.LlmProviders(custom_llm_provider),
+ )
+
+ if image_edit_provider_config is None:
+ raise ValueError(f"image edit is not supported for {custom_llm_provider}")
+
+ local_vars.update(kwargs)
+ # Get ImageEditOptionalRequestParams with only valid parameters
+ image_edit_optional_params: ImageEditOptionalRequestParams = (
+ ImageEditRequestUtils.get_requested_image_edit_optional_param(local_vars)
+ )
+
+ # Get optional parameters for the responses API
+ image_edit_request_params: Dict = (
+ ImageEditRequestUtils.get_optional_params_image_edit(
+ model=model,
+ image_edit_provider_config=image_edit_provider_config,
+ image_edit_optional_params=image_edit_optional_params,
+ )
+ )
+
+ # Pre Call logging
+ litellm_logging_obj.update_environment_variables(
+ model=model,
+ user=user,
+ optional_params=dict(image_edit_request_params),
+ litellm_params={
+ "litellm_call_id": litellm_call_id,
+ **image_edit_request_params,
+ },
+ custom_llm_provider=custom_llm_provider,
+ )
+
+ # Call the handler with _is_async flag instead of directly calling the async handler
+ return base_llm_http_handler.image_edit_handler(
+ model=model,
+ image=image,
+ prompt=prompt,
+ image_edit_provider_config=image_edit_provider_config,
+ image_edit_optional_request_params=image_edit_request_params,
+ custom_llm_provider=custom_llm_provider,
+ litellm_params=litellm_params,
+ logging_obj=litellm_logging_obj,
+ extra_headers=extra_headers,
+ extra_body=extra_body,
+ timeout=timeout or DEFAULT_REQUEST_TIMEOUT,
+ _is_async=_is_async,
+ client=kwargs.get("client"),
+ )
+
+ except Exception as e:
+ raise litellm.exception_type(
+ model=model,
+ custom_llm_provider=custom_llm_provider,
+ original_exception=e,
+ completion_kwargs=local_vars,
+ extra_kwargs=kwargs,
+ )
+
+
+@client
+async def aimage_edit(
+ image: FileTypes,
+ model: str,
+ prompt: str,
+ mask: Optional[str] = None,
+ n: Optional[int] = None,
+ quality: Optional[Union[str, ImageGenerationRequestQuality]] = None,
+ response_format: Optional[str] = None,
+ size: Optional[str] = None,
+ user: Optional[str] = None,
+ # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+ # The extra values given here take precedence over values defined on the client or passed to this method.
+ extra_headers: Optional[Dict[str, Any]] = None,
+ extra_query: Optional[Dict[str, Any]] = None,
+ extra_body: Optional[Dict[str, Any]] = None,
+ timeout: Optional[Union[float, httpx.Timeout]] = None,
+ # LiteLLM specific params,
+ custom_llm_provider: Optional[str] = None,
+ **kwargs,
+) -> ImageResponse:
+ """
+ Asynchronously calls the `image_edit` function with the given arguments and keyword arguments.
+
+ Parameters:
+ - `args` (tuple): Positional arguments to be passed to the `image_edit` function.
+ - `kwargs` (dict): Keyword arguments to be passed to the `image_edit` function.
+
+ Returns:
+ - `response` (Any): The response returned by the `image_edit` function.
+ """
+ local_vars = locals()
+ try:
+ loop = asyncio.get_event_loop()
+ kwargs["async_call"] = True
+
+ # get custom llm provider so we can use this for mapping exceptions
+ if custom_llm_provider is None:
+ _, custom_llm_provider, _, _ = litellm.get_llm_provider(
+ model=model, api_base=local_vars.get("base_url", None)
+ )
+
+ func = partial(
+ image_edit,
+ image=image,
+ prompt=prompt,
+ mask=mask,
+ model=model,
+ n=n,
+ quality=quality,
+ response_format=response_format,
+ size=size,
+ user=user,
+ timeout=timeout,
+ custom_llm_provider=custom_llm_provider,
+ **kwargs,
+ )
+
+ ctx = contextvars.copy_context()
+ func_with_context = partial(ctx.run, func)
+ init_response = await loop.run_in_executor(None, func_with_context)
+
+ if asyncio.iscoroutine(init_response):
+ response = await init_response
+ else:
+ response = init_response
+
+ return response
+ except Exception as e:
+ raise litellm.exception_type(
+ model=model,
+ custom_llm_provider=custom_llm_provider,
+ original_exception=e,
+ completion_kwargs=local_vars,
+ extra_kwargs=kwargs,
+ )
diff --git a/litellm/images/utils.py b/litellm/images/utils.py
new file mode 100644
index 0000000000..7b1875c493
--- /dev/null
+++ b/litellm/images/utils.py
@@ -0,0 +1,142 @@
+from io import BufferedReader, BytesIO
+from typing import Any, Dict, cast, get_type_hints
+
+import litellm
+from litellm.litellm_core_utils.token_counter import get_image_type
+from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig
+from litellm.types.files import FILE_MIME_TYPES, FileType
+from litellm.types.images.main import ImageEditOptionalRequestParams
+
+
+class ImageEditRequestUtils:
+ @staticmethod
+ def get_optional_params_image_edit(
+ model: str,
+ image_edit_provider_config: BaseImageEditConfig,
+ image_edit_optional_params: ImageEditOptionalRequestParams,
+ ) -> Dict:
+ """
+ Get optional parameters for the image edit API.
+
+ Args:
+ params: Dictionary of all parameters
+ model: The model name
+ image_edit_provider_config: The provider configuration for image edit API
+
+ Returns:
+ A dictionary of supported parameters for the image edit API
+ """
+ # Remove None values and internal parameters
+
+ # Get supported parameters for the model
+ supported_params = image_edit_provider_config.get_supported_openai_params(model)
+
+ # Check for unsupported parameters
+ unsupported_params = [
+ param
+ for param in image_edit_optional_params
+ if param not in supported_params
+ ]
+
+ if unsupported_params:
+ raise litellm.UnsupportedParamsError(
+ model=model,
+ message=f"The following parameters are not supported for model {model}: {', '.join(unsupported_params)}",
+ )
+
+ # Map parameters to provider-specific format
+ mapped_params = image_edit_provider_config.map_openai_params(
+ image_edit_optional_params=image_edit_optional_params,
+ model=model,
+ drop_params=litellm.drop_params,
+ )
+
+ return mapped_params
+
+ @staticmethod
+ def get_requested_image_edit_optional_param(
+ params: Dict[str, Any],
+ ) -> ImageEditOptionalRequestParams:
+ """
+ Filter parameters to only include those defined in ImageEditOptionalRequestParams.
+
+ Args:
+ params: Dictionary of parameters to filter
+
+ Returns:
+ ImageEditOptionalRequestParams instance with only the valid parameters
+ """
+ valid_keys = get_type_hints(ImageEditOptionalRequestParams).keys()
+ filtered_params = {
+ k: v for k, v in params.items() if k in valid_keys and v is not None
+ }
+
+ return cast(ImageEditOptionalRequestParams, filtered_params)
+
+ @staticmethod
+ def get_image_content_type(image_data: Any) -> str:
+ """
+ Detect the content type of image data using existing LiteLLM utils.
+
+ Args:
+ image_data: Can be BytesIO, bytes, BufferedReader, or other file-like objects
+
+ Returns:
+ The MIME type string (e.g., "image/png", "image/jpeg")
+ """
+ try:
+ # Extract bytes for content type detection
+ if isinstance(image_data, BytesIO):
+ # Save current position
+ current_pos = image_data.tell()
+ image_data.seek(0)
+ bytes_data = image_data.read(
+ 100
+ ) # First 100 bytes are enough for detection
+ # Restore position
+ image_data.seek(current_pos)
+ elif isinstance(image_data, BufferedReader):
+ # Save current position
+ current_pos = image_data.tell()
+ image_data.seek(0)
+ bytes_data = image_data.read(100)
+ # Restore position
+ image_data.seek(current_pos)
+ elif isinstance(image_data, bytes):
+ bytes_data = image_data[:100]
+ else:
+ # For other types, try to read if possible
+ if hasattr(image_data, "read"):
+ current_pos = getattr(image_data, "tell", lambda: 0)()
+ if hasattr(image_data, "seek"):
+ image_data.seek(0)
+ bytes_data = image_data.read(100)
+ if hasattr(image_data, "seek"):
+ image_data.seek(current_pos)
+ else:
+ return FILE_MIME_TYPES[FileType.PNG] # Default fallback
+
+ # Use the existing get_image_type function to detect image type
+ image_type_str = get_image_type(bytes_data)
+
+ if image_type_str is None:
+ return FILE_MIME_TYPES[FileType.PNG] # Default if detection fails
+
+ # Map detected type string to FileType enum and get MIME type
+ type_mapping = {
+ "png": FileType.PNG,
+ "jpeg": FileType.JPEG,
+ "gif": FileType.GIF,
+ "webp": FileType.WEBP,
+ "heic": FileType.HEIC,
+ }
+
+ file_type = type_mapping.get(image_type_str)
+ if file_type is None:
+ return FILE_MIME_TYPES[FileType.PNG] # Default to PNG if unknown
+
+ return FILE_MIME_TYPES[file_type]
+
+ except Exception:
+ # If anything goes wrong, default to PNG
+ return FILE_MIME_TYPES[FileType.PNG]
diff --git a/litellm/integrations/SlackAlerting/utils.py b/litellm/integrations/SlackAlerting/utils.py
index 0dc8bae5a6..e695266c88 100644
--- a/litellm/integrations/SlackAlerting/utils.py
+++ b/litellm/integrations/SlackAlerting/utils.py
@@ -5,6 +5,7 @@ Utils used for slack alerting
import asyncio
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
+import litellm
from litellm.proxy._types import AlertType
from litellm.secret_managers.main import get_secret
@@ -69,7 +70,12 @@ async def _add_langfuse_trace_id_to_alert(
-> trace_id
-> litellm_call_id
"""
- # do nothing for now
+ if "langfuse" not in litellm.logging_callback_manager._get_all_callbacks():
+ return None
+ #########################################################
+ # Only run if langfuse is added as a callback
+ #########################################################
+
if (
request_data is not None
and request_data.get("litellm_logging_obj", None) is not None
@@ -82,11 +88,12 @@ async def _add_langfuse_trace_id_to_alert(
if trace_id is not None:
break
await asyncio.sleep(3) # wait 3s before retrying for trace id
-
- _langfuse_object = litellm_logging_obj._get_callback_object(
+ #########################################################
+ langfuse_object = litellm_logging_obj._get_callback_object(
service_name="langfuse"
)
- if _langfuse_object is not None:
- base_url = _langfuse_object.Langfuse.base_url
+ if langfuse_object is not None:
+ base_url = langfuse_object.Langfuse.base_url
return f"{base_url}/trace/{trace_id}"
+
return None
diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index c138b3cc25..5c75e452ab 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -28,6 +28,7 @@ class AnthropicCacheControlHook(CustomPromptManagement):
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Apply cache control directives based on specified injection points.
@@ -79,10 +80,10 @@ class AnthropicCacheControlHook(CustomPromptManagement):
# Case 1: Target by specific index
if targetted_index is not None:
if 0 <= targetted_index < len(messages):
- messages[targetted_index] = (
- AnthropicCacheControlHook._safe_insert_cache_control_in_message(
- messages[targetted_index], control
- )
+ messages[
+ targetted_index
+ ] = AnthropicCacheControlHook._safe_insert_cache_control_in_message(
+ messages[targetted_index], control
)
# Case 2: Target by role
elif targetted_role is not None:
diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py
index 08cebe1a0c..ce97b9a292 100644
--- a/litellm/integrations/custom_logger.py
+++ b/litellm/integrations/custom_logger.py
@@ -87,6 +87,7 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac
dynamic_callback_params: StandardCallbackDynamicParams,
litellm_logging_obj: LiteLLMLoggingObj,
tools: Optional[List[Dict]] = None,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Returns:
@@ -104,6 +105,7 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Returns:
@@ -234,6 +236,7 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac
request_data: dict,
original_exception: Exception,
user_api_key_dict: UserAPIKeyAuth,
+ traceback_str: Optional[str] = None,
):
pass
diff --git a/litellm/integrations/custom_prompt_management.py b/litellm/integrations/custom_prompt_management.py
index 9d05e7b242..061aadc3c0 100644
--- a/litellm/integrations/custom_prompt_management.py
+++ b/litellm/integrations/custom_prompt_management.py
@@ -18,6 +18,7 @@ class CustomPromptManagement(CustomLogger, PromptManagementBase):
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Returns:
@@ -43,6 +44,7 @@ class CustomPromptManagement(CustomLogger, PromptManagementBase):
prompt_id: str,
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> PromptManagementClient:
raise NotImplementedError(
"Custom prompt management does not support compile prompt helper"
diff --git a/litellm/integrations/deepeval/__init__.py b/litellm/integrations/deepeval/__init__.py
new file mode 100644
index 0000000000..e074075b88
--- /dev/null
+++ b/litellm/integrations/deepeval/__init__.py
@@ -0,0 +1,3 @@
+from .deepeval import DeepEvalLogger
+
+__all__ = ["DeepEvalLogger"]
diff --git a/litellm/integrations/deepeval/api.py b/litellm/integrations/deepeval/api.py
new file mode 100644
index 0000000000..5e446e26fe
--- /dev/null
+++ b/litellm/integrations/deepeval/api.py
@@ -0,0 +1,120 @@
+# duplicate -> https://github.com/confident-ai/deepeval/blob/main/deepeval/confident/api.py
+import logging
+import httpx
+from enum import Enum
+from litellm._logging import verbose_logger
+
+DEEPEVAL_BASE_URL = "https://deepeval.confident-ai.com"
+DEEPEVAL_BASE_URL_EU = "https://eu.deepeval.confident-ai.com"
+API_BASE_URL = "https://api.confident-ai.com"
+API_BASE_URL_EU = "https://eu.api.confident-ai.com"
+retryable_exceptions = httpx.HTTPError
+
+from litellm.llms.custom_httpx.http_handler import (
+ HTTPHandler,
+ get_async_httpx_client,
+ httpxSpecialProvider,
+)
+
+
+def log_retry_error(details):
+ exception = details.get("exception")
+ tries = details.get("tries")
+ if exception:
+ logging.error(f"Confident AI Error: {exception}. Retrying: {tries} time(s)...")
+ else:
+ logging.error(f"Retrying: {tries} time(s)...")
+
+
+class HttpMethods(Enum):
+ GET = "GET"
+ POST = "POST"
+ DELETE = "DELETE"
+ PUT = "PUT"
+
+
+class Endpoints(Enum):
+ DATASET_ENDPOINT = "/v1/dataset"
+ TEST_RUN_ENDPOINT = "/v1/test-run"
+ TRACING_ENDPOINT = "/v1/tracing"
+ EVENT_ENDPOINT = "/v1/event"
+ FEEDBACK_ENDPOINT = "/v1/feedback"
+ PROMPT_ENDPOINT = "/v1/prompt"
+ RECOMMEND_ENDPOINT = "/v1/recommend-metrics"
+ EVALUATE_ENDPOINT = "/evaluate"
+ GUARD_ENDPOINT = "/guard"
+ GUARDRAILS_ENDPOINT = "/guardrails"
+ BASELINE_ATTACKS_ENDPOINT = "/generate-baseline-attacks"
+
+
+class Api:
+ def __init__(self, api_key: str, base_url=None):
+ self.api_key = api_key
+ self._headers = {
+ "Content-Type": "application/json",
+ # "User-Agent": "Python/Requests",
+ "CONFIDENT_API_KEY": api_key,
+ }
+ # using the global non-eu variable for base url
+ self.base_api_url = base_url or API_BASE_URL
+ self.sync_http_handler = HTTPHandler()
+ self.async_http_handler = get_async_httpx_client(
+ llm_provider=httpxSpecialProvider.LoggingCallback
+ )
+
+ def _http_request(
+ self, method: str, url: str, headers=None, json=None, params=None
+ ):
+ if method != "POST":
+ raise Exception("Only POST requests are supported")
+ try:
+ self.sync_http_handler.post(
+ url=url,
+ headers=headers,
+ json=json,
+ params=params,
+ )
+ except httpx.HTTPStatusError as e:
+ raise Exception(f"DeepEval logging error: {e.response.text}")
+ except Exception as e:
+ raise e
+
+ def send_request(
+ self, method: HttpMethods, endpoint: Endpoints, body=None, params=None
+ ):
+ url = f"{self.base_api_url}{endpoint.value}"
+ res = self._http_request(
+ method=method.value,
+ url=url,
+ headers=self._headers,
+ json=body,
+ params=params,
+ )
+
+ if res.status_code == 200:
+ try:
+ return res.json()
+ except ValueError:
+ return res.text
+ else:
+ verbose_logger.debug(res.json())
+ raise Exception(res.json().get("error", res.text))
+
+ async def a_send_request(
+ self, method: HttpMethods, endpoint: Endpoints, body=None, params=None
+ ):
+ if method != HttpMethods.POST:
+ raise Exception("Only POST requests are supported")
+
+ url = f"{self.base_api_url}{endpoint.value}"
+ try:
+ await self.async_http_handler.post(
+ url=url,
+ headers=self._headers,
+ json=body,
+ params=params,
+ )
+ except httpx.HTTPStatusError as e:
+ raise Exception(f"DeepEval logging error: {e.response.text}")
+ except Exception as e:
+ raise e
diff --git a/litellm/integrations/deepeval/deepeval.py b/litellm/integrations/deepeval/deepeval.py
new file mode 100644
index 0000000000..a94e02109e
--- /dev/null
+++ b/litellm/integrations/deepeval/deepeval.py
@@ -0,0 +1,175 @@
+import os
+import uuid
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.integrations.deepeval.api import Api, Endpoints, HttpMethods
+from litellm.integrations.deepeval.types import (
+ BaseApiSpan,
+ SpanApiType,
+ TraceApi,
+ TraceSpanApiStatus,
+)
+from litellm.integrations.deepeval.utils import (
+ to_zod_compatible_iso,
+ validate_environment,
+)
+from litellm._logging import verbose_logger
+
+
+# This file includes the custom callbacks for LiteLLM Proxy
+# Once defined, these can be passed in proxy_config.yaml
+class DeepEvalLogger(CustomLogger):
+ """Logs litellm traces to DeepEval's platform."""
+
+ def __init__(self, *args, **kwargs):
+ api_key = os.getenv("CONFIDENT_API_KEY")
+ self.litellm_environment = os.getenv("LITELM_ENVIRONMENT", "development")
+ validate_environment(self.litellm_environment)
+ if not api_key:
+ raise ValueError(
+ "Please set 'CONFIDENT_API_KEY=<>' in your environment variables."
+ )
+ self.api = Api(api_key=api_key)
+ super().__init__(*args, **kwargs)
+
+ def log_success_event(self, kwargs, response_obj, start_time, end_time):
+ """Logs a success event to DeepEval's platform."""
+ self._sync_event_handler(
+ kwargs, response_obj, start_time, end_time, is_success=True
+ )
+
+ def log_failure_event(self, kwargs, response_obj, start_time, end_time):
+ """Logs a failure event to DeepEval's platform."""
+ self._sync_event_handler(
+ kwargs, response_obj, start_time, end_time, is_success=False
+ )
+
+ async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
+ """Logs a failure event to DeepEval's platform."""
+ await self._async_event_handler(
+ kwargs, response_obj, start_time, end_time, is_success=False
+ )
+
+ async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
+ """Logs a success event to DeepEval's platform."""
+ await self._async_event_handler(
+ kwargs, response_obj, start_time, end_time, is_success=True
+ )
+
+ def _prepare_trace_api(
+ self, kwargs, response_obj, start_time, end_time, is_success
+ ):
+ _start_time = to_zod_compatible_iso(start_time)
+ _end_time = to_zod_compatible_iso(end_time)
+ _standard_logging_object = kwargs.get("standard_logging_object", {})
+ base_api_span = self._create_base_api_span(
+ kwargs,
+ standard_logging_object=_standard_logging_object,
+ start_time=_start_time,
+ end_time=_end_time,
+ is_success=is_success,
+ )
+ trace_api = self._create_trace_api(
+ base_api_span,
+ standard_logging_object=_standard_logging_object,
+ start_time=_start_time,
+ end_time=_end_time,
+ litellm_environment=self.litellm_environment,
+ )
+
+ body = {}
+
+ try:
+ body = trace_api.model_dump(by_alias=True, exclude_none=True)
+ except AttributeError:
+ # Pydantic version below 2.0
+ body = trace_api.dict(by_alias=True, exclude_none=True)
+ return body
+
+ def _sync_event_handler(
+ self, kwargs, response_obj, start_time, end_time, is_success
+ ):
+ body = self._prepare_trace_api(
+ kwargs, response_obj, start_time, end_time, is_success
+ )
+ try:
+ response = self.api.send_request(
+ method=HttpMethods.POST,
+ endpoint=Endpoints.TRACING_ENDPOINT,
+ body=body,
+ )
+ except Exception as e:
+ raise e
+ verbose_logger.debug(
+ "DeepEvalLogger: sync_log_failure_event: Api response", response
+ )
+
+ async def _async_event_handler(
+ self, kwargs, response_obj, start_time, end_time, is_success
+ ):
+ body = self._prepare_trace_api(
+ kwargs, response_obj, start_time, end_time, is_success
+ )
+ response = await self.api.a_send_request(
+ method=HttpMethods.POST,
+ endpoint=Endpoints.TRACING_ENDPOINT,
+ body=body,
+ )
+
+ verbose_logger.debug(
+ "DeepEvalLogger: async_event_handler: Api response", response
+ )
+
+ def _create_base_api_span(
+ self, kwargs, standard_logging_object, start_time, end_time, is_success
+ ):
+ # extract usage
+ usage = standard_logging_object.get("response", {}).get("usage", {})
+ if is_success:
+ output = (
+ standard_logging_object.get("response", {})
+ .get("choices", [{}])[0]
+ .get("message", {})
+ .get("content", "NO_OUTPUT")
+ )
+ else:
+ output = str(standard_logging_object.get("error_string", ""))
+ return BaseApiSpan(
+ uuid=standard_logging_object.get("id", uuid.uuid4()),
+ name=(
+ "litellm_success_callback" if is_success else "litellm_failure_callback"
+ ),
+ status=(
+ TraceSpanApiStatus.SUCCESS if is_success else TraceSpanApiStatus.ERRORED
+ ),
+ type=SpanApiType.LLM,
+ traceUuid=standard_logging_object.get("trace_id", uuid.uuid4()),
+ startTime=str(start_time),
+ endTime=str(end_time),
+ input=kwargs.get("input", "NO_INPUT"),
+ output=output,
+ model=standard_logging_object.get("model", None),
+ inputTokenCount=usage.get("prompt_tokens", None) if is_success else None,
+ outputTokenCount=(
+ usage.get("completion_tokens", None) if is_success else None
+ ),
+ )
+
+ def _create_trace_api(
+ self,
+ base_api_span,
+ standard_logging_object,
+ start_time,
+ end_time,
+ litellm_environment,
+ ):
+ return TraceApi(
+ uuid=standard_logging_object.get("trace_id", uuid.uuid4()),
+ baseSpans=[],
+ agentSpans=[],
+ llmSpans=[base_api_span],
+ retrieverSpans=[],
+ toolSpans=[],
+ startTime=str(start_time),
+ endTime=str(end_time),
+ environment=litellm_environment,
+ )
diff --git a/litellm/integrations/deepeval/types.py b/litellm/integrations/deepeval/types.py
new file mode 100644
index 0000000000..321bd962f8
--- /dev/null
+++ b/litellm/integrations/deepeval/types.py
@@ -0,0 +1,64 @@
+# Duplicate -> https://github.com/confident-ai/deepeval/blob/main/deepeval/tracing/api.py
+from enum import Enum
+from typing import Any, Dict, List, Optional, Union, Literal
+from pydantic import BaseModel, Field
+
+
+class SpanApiType(Enum):
+ BASE = "base"
+ AGENT = "agent"
+ LLM = "llm"
+ RETRIEVER = "retriever"
+ TOOL = "tool"
+
+
+span_api_type_literals = Literal["base", "agent", "llm", "retriever", "tool"]
+
+
+class TraceSpanApiStatus(Enum):
+ SUCCESS = "SUCCESS"
+ ERRORED = "ERRORED"
+
+
+class BaseApiSpan(BaseModel):
+ uuid: str
+ name: Optional[str] = None
+ status: TraceSpanApiStatus
+ type: SpanApiType
+ trace_uuid: str = Field(alias="traceUuid")
+ parent_uuid: Optional[str] = Field(None, alias="parentUuid")
+ start_time: str = Field(alias="startTime")
+ end_time: str = Field(alias="endTime")
+ input: Optional[Union[Dict, list, str]] = None
+ output: Optional[Union[Dict, list, str]] = None
+ error: Optional[str] = None
+
+ # llm
+ model: Optional[str] = None
+ input_token_count: Optional[int] = Field(None, alias="inputTokenCount")
+ output_token_count: Optional[int] = Field(None, alias="outputTokenCount")
+ cost_per_input_token: Optional[float] = Field(None, alias="costPerInputToken")
+ cost_per_output_token: Optional[float] = Field(None, alias="costPerOutputToken")
+
+ class Config:
+ use_enum_values = True
+
+
+class TraceApi(BaseModel):
+ uuid: str
+ base_spans: List[BaseApiSpan] = Field(alias="baseSpans")
+ agent_spans: List[BaseApiSpan] = Field(alias="agentSpans")
+ llm_spans: List[BaseApiSpan] = Field(alias="llmSpans")
+ retriever_spans: List[BaseApiSpan] = Field(alias="retrieverSpans")
+ tool_spans: List[BaseApiSpan] = Field(alias="toolSpans")
+ start_time: str = Field(alias="startTime")
+ end_time: str = Field(alias="endTime")
+ metadata: Optional[Dict[str, Any]] = Field(None)
+ tags: Optional[List[str]] = Field(None)
+ environment: Optional[str] = Field(None)
+
+
+class Environment(Enum):
+ PRODUCTION = "production"
+ DEVELOPMENT = "development"
+ STAGING = "staging"
diff --git a/litellm/integrations/deepeval/utils.py b/litellm/integrations/deepeval/utils.py
new file mode 100644
index 0000000000..0beb22db9e
--- /dev/null
+++ b/litellm/integrations/deepeval/utils.py
@@ -0,0 +1,18 @@
+from datetime import datetime, timezone
+from litellm.integrations.deepeval.types import Environment
+
+
+def to_zod_compatible_iso(dt: datetime) -> str:
+ return (
+ dt.astimezone(timezone.utc)
+ .isoformat(timespec="milliseconds")
+ .replace("+00:00", "Z")
+ )
+
+
+def validate_environment(environment: str):
+ if environment not in [env.value for env in Environment]:
+ valid_values = ", ".join(f'"{env.value}"' for env in Environment)
+ raise ValueError(
+ f"Invalid environment: {environment}. Please use one of the following instead: {valid_values}"
+ )
diff --git a/litellm/integrations/humanloop.py b/litellm/integrations/humanloop.py
index 853fbe148c..c62ab1110f 100644
--- a/litellm/integrations/humanloop.py
+++ b/litellm/integrations/humanloop.py
@@ -155,11 +155,8 @@ class HumanloopLogger(CustomLogger):
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
- ) -> Tuple[
- str,
- List[AllMessageValues],
- dict,
- ]:
+ prompt_label: Optional[str] = None,
+ ) -> 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 02862c52c5..2674f2ace0 100644
--- a/litellm/integrations/langfuse/langfuse.py
+++ b/litellm/integrations/langfuse/langfuse.py
@@ -10,6 +10,7 @@ from packaging.version import Version
import litellm
from litellm._logging import verbose_logger
+from litellm.constants import MAX_LANGFUSE_INITIALIZED_CLIENTS
from litellm.litellm_core_utils.redact_messages import redact_user_api_key_info
from litellm.llms.custom_httpx.http_handler import _get_httpx_client
from litellm.secret_managers.main import str_to_bool
@@ -27,12 +28,13 @@ from litellm.types.utils import (
)
if TYPE_CHECKING:
- from langfuse.client import StatefulTraceClient
+ from langfuse.client import Langfuse, StatefulTraceClient
from litellm.litellm_core_utils.litellm_logging import DynamicLoggingCache
else:
DynamicLoggingCache = Any
StatefulTraceClient = Any
+ Langfuse = Any
class LangFuseLogger:
@@ -84,8 +86,7 @@ class LangFuseLogger:
if Version(self.langfuse_sdk_version) >= Version("2.6.0"):
parameters["sdk_integration"] = "litellm"
-
- self.Langfuse = Langfuse(**parameters)
+ self.Langfuse: Langfuse = self.safe_init_langfuse_client(parameters)
# set the current langfuse project id in the environ
# this is used by Alerting to link to the correct project
@@ -124,6 +125,24 @@ class LangFuseLogger:
else:
self.upstream_langfuse = None
+ def safe_init_langfuse_client(self, parameters: dict) -> Langfuse:
+ """
+ Safely init a langfuse client if the number of initialized clients is less than the max
+
+ Note:
+ - Langfuse initializes 1 thread everytime a client is initialized.
+ - We've had an incident in the past where we reached 100% cpu utilization because Langfuse was initialized several times.
+ """
+ from langfuse import Langfuse
+
+ if litellm.initialized_langfuse_clients >= MAX_LANGFUSE_INITIALIZED_CLIENTS:
+ raise Exception(
+ f"Max langfuse clients reached: {litellm.initialized_langfuse_clients} is greater than {MAX_LANGFUSE_INITIALIZED_CLIENTS}"
+ )
+ langfuse_client = Langfuse(**parameters)
+ litellm.initialized_langfuse_clients += 1
+ return langfuse_client
+
@staticmethod
def add_metadata_from_header(litellm_params: dict, metadata: dict) -> dict:
"""
diff --git a/litellm/integrations/langfuse/langfuse_prompt_management.py b/litellm/integrations/langfuse/langfuse_prompt_management.py
index b4149d7ad9..8fe9cb63de 100644
--- a/litellm/integrations/langfuse/langfuse_prompt_management.py
+++ b/litellm/integrations/langfuse/langfuse_prompt_management.py
@@ -130,9 +130,12 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
return "langfuse"
def _get_prompt_from_id(
- self, langfuse_prompt_id: str, langfuse_client: LangfuseClass
+ self,
+ langfuse_prompt_id: str,
+ langfuse_client: LangfuseClass,
+ prompt_label: Optional[str] = None,
) -> PROMPT_CLIENT:
- return langfuse_client.get_prompt(langfuse_prompt_id)
+ return langfuse_client.get_prompt(langfuse_prompt_id, label=prompt_label)
def _compile_prompt(
self,
@@ -176,11 +179,8 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
dynamic_callback_params: StandardCallbackDynamicParams,
litellm_logging_obj: LiteLLMLoggingObj,
tools: Optional[List[Dict]] = None,
- ) -> Tuple[
- str,
- List[AllMessageValues],
- dict,
- ]:
+ prompt_label: Optional[str] = None,
+ ) -> Tuple[str, List[AllMessageValues], dict,]:
return self.get_chat_completion_prompt(
model,
messages,
@@ -188,6 +188,7 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
prompt_id,
prompt_variables,
dynamic_callback_params,
+ prompt_label=prompt_label,
)
def should_run_prompt_management(
@@ -211,6 +212,7 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
prompt_id: str,
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> PromptManagementClient:
langfuse_client = langfuse_client_init(
langfuse_public_key=dynamic_callback_params.get("langfuse_public_key"),
@@ -219,7 +221,9 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
langfuse_host=dynamic_callback_params.get("langfuse_host"),
)
langfuse_prompt_client = self._get_prompt_from_id(
- langfuse_prompt_id=prompt_id, langfuse_client=langfuse_client
+ langfuse_prompt_id=prompt_id,
+ langfuse_client=langfuse_client,
+ prompt_label=prompt_label,
)
## SET PROMPT
diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py
index 921cb16131..452d44c76a 100644
--- a/litellm/integrations/opentelemetry.py
+++ b/litellm/integrations/opentelemetry.py
@@ -135,7 +135,13 @@ class OpenTelemetry(CustomLogger):
- Adds Otel as a service callback
- Sets `proxy_server.open_telemetry_logger` to self
"""
- from litellm.proxy import proxy_server
+ try:
+ from litellm.proxy import proxy_server
+ except ImportError:
+ verbose_logger.warning(
+ "Proxy Server is not installed. Skipping OpenTelemetry initialization."
+ )
+ return
# Add Otel as a service callback
if "otel" not in litellm.service_callback:
@@ -282,6 +288,7 @@ class OpenTelemetry(CustomLogger):
request_data: dict,
original_exception: Exception,
user_api_key_dict: UserAPIKeyAuth,
+ traceback_str: Optional[str] = None,
):
from opentelemetry import trace
from opentelemetry.trace import Status, StatusCode
diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py
index 03bf1cd29e..a66b1e755f 100644
--- a/litellm/integrations/prometheus.py
+++ b/litellm/integrations/prometheus.py
@@ -802,6 +802,7 @@ class PrometheusLogger(CustomLogger):
request_data: dict,
original_exception: Exception,
user_api_key_dict: UserAPIKeyAuth,
+ traceback_str: Optional[str] = None,
):
"""
Track client side failures
@@ -832,6 +833,7 @@ class PrometheusLogger(CustomLogger):
exception_status=str(getattr(original_exception, "status_code", None)),
exception_class=self._get_exception_class_name(original_exception),
tags=_tags,
+ route=user_api_key_dict.request_route,
)
_labels = prometheus_label_factory(
supported_enum_labels=PrometheusMetricLabels.get_labels(
@@ -872,6 +874,7 @@ class PrometheusLogger(CustomLogger):
user=user_api_key_dict.user_id,
user_email=user_api_key_dict.user_email,
status_code="200",
+ route=user_api_key_dict.request_route,
)
_labels = prometheus_label_factory(
supported_enum_labels=PrometheusMetricLabels.get_labels(
diff --git a/litellm/integrations/prompt_management_base.py b/litellm/integrations/prompt_management_base.py
index 270c34be8a..c9e7adbccb 100644
--- a/litellm/integrations/prompt_management_base.py
+++ b/litellm/integrations/prompt_management_base.py
@@ -33,6 +33,7 @@ class PromptManagementBase(ABC):
prompt_id: str,
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> PromptManagementClient:
pass
@@ -49,11 +50,13 @@ class PromptManagementBase(ABC):
prompt_variables: Optional[dict],
client_messages: List[AllMessageValues],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> PromptManagementClient:
compiled_prompt_client = self._compile_prompt_helper(
prompt_id=prompt_id,
prompt_variables=prompt_variables,
dynamic_callback_params=dynamic_callback_params,
+ prompt_label=prompt_label,
)
try:
@@ -82,6 +85,7 @@ class PromptManagementBase(ABC):
prompt_id: Optional[str],
prompt_variables: Optional[dict],
dynamic_callback_params: StandardCallbackDynamicParams,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
if prompt_id is None:
raise ValueError("prompt_id is required for Prompt Management Base class")
@@ -95,6 +99,7 @@ class PromptManagementBase(ABC):
prompt_variables=prompt_variables,
client_messages=messages,
dynamic_callback_params=dynamic_callback_params,
+ prompt_label=prompt_label,
)
completed_messages = prompt_template["completed_messages"] or messages
diff --git a/litellm/integrations/vector_stores/bedrock_vector_store.py b/litellm/integrations/vector_stores/bedrock_vector_store.py
index e0af1a6636..9015757000 100644
--- a/litellm/integrations/vector_stores/bedrock_vector_store.py
+++ b/litellm/integrations/vector_stores/bedrock_vector_store.py
@@ -75,6 +75,7 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
dynamic_callback_params: StandardCallbackDynamicParams,
litellm_logging_obj: LiteLLMLoggingObj,
tools: Optional[List[Dict]] = None,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
"""
Retrieves the context from the Bedrock Knowledge Base and appends it to the messages.
@@ -99,10 +100,11 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
f"Bedrock Knowledge Base Response: {bedrock_kb_response}"
)
- context_message, context_string = (
- self.get_chat_completion_message_from_bedrock_kb_response(
- bedrock_kb_response
- )
+ (
+ context_message,
+ context_string,
+ ) = self.get_chat_completion_message_from_bedrock_kb_response(
+ bedrock_kb_response
)
if context_message is not None:
messages.append(context_message)
@@ -126,9 +128,9 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
)
)
- litellm_logging_obj.model_call_details["vector_store_request_metadata"] = (
- vector_store_request_metadata
- )
+ litellm_logging_obj.model_call_details[
+ "vector_store_request_metadata"
+ ] = vector_store_request_metadata
return model, messages, non_default_params
@@ -140,9 +142,9 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
"""
Transform a BedrockKBResponse to a VectorStoreSearchResponse
"""
- retrieval_results: Optional[List[BedrockKBRetrievalResult]] = (
- bedrock_kb_response.get("retrievalResults", None)
- )
+ retrieval_results: Optional[
+ List[BedrockKBRetrievalResult]
+ ] = bedrock_kb_response.get("retrievalResults", None)
vector_store_search_response: VectorStoreSearchResponse = (
VectorStoreSearchResponse(search_query=query, data=[])
)
diff --git a/litellm/litellm_core_utils/exception_mapping_utils.py b/litellm/litellm_core_utils/exception_mapping_utils.py
index e96c73e427..c514ffd12f 100644
--- a/litellm/litellm_core_utils/exception_mapping_utils.py
+++ b/litellm/litellm_core_utils/exception_mapping_utils.py
@@ -317,11 +317,18 @@ def exception_type( # type: ignore # noqa: PLR0915
litellm_debug_info=extra_information,
)
elif (
- "invalid_request_error" in error_str
- and "content_policy_violation" in error_str
- ) or (
- "Invalid prompt" in error_str
- and "violating our usage policy" in error_str
+ (
+ "invalid_request_error" in error_str
+ and "content_policy_violation" in error_str
+ )
+ or (
+ "Invalid prompt" in error_str
+ and "violating our usage policy" in error_str
+ )
+ or (
+ "request was rejected as a result of the safety system"
+ in error_str.lower()
+ )
):
exception_mapping_worked = True
raise ContentPolicyViolationError(
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 012b655810..e0a08021e5 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -52,6 +52,7 @@ from litellm.integrations.anthropic_cache_control_hook import AnthropicCacheCont
from litellm.integrations.arize.arize import ArizeLogger
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.integrations.custom_logger import CustomLogger
+from litellm.integrations.deepeval.deepeval import DeepEvalLogger
from litellm.integrations.mlflow import MlflowLogger
from litellm.integrations.vector_stores.bedrock_vector_store import BedrockVectorStore
from litellm.litellm_core_utils.get_litellm_params import get_litellm_params
@@ -198,6 +199,7 @@ s3Logger = None
greenscaleLogger = None
lunaryLogger = None
supabaseClient = None
+deepevalLogger = None
callback_list: Optional[List[str]] = []
user_logger_fn = None
additional_details: Optional[Dict[str, str]] = {}
@@ -539,6 +541,7 @@ class Logging(LiteLLMLoggingBaseClass):
prompt_id: Optional[str],
prompt_variables: Optional[dict],
prompt_management_logger: Optional[CustomLogger] = None,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
custom_logger = (
prompt_management_logger
@@ -559,6 +562,7 @@ class Logging(LiteLLMLoggingBaseClass):
prompt_id=prompt_id,
prompt_variables=prompt_variables,
dynamic_callback_params=self.standard_callback_dynamic_params,
+ prompt_label=prompt_label,
)
self.messages = messages
return model, messages, non_default_params
@@ -572,6 +576,7 @@ class Logging(LiteLLMLoggingBaseClass):
prompt_variables: Optional[dict],
prompt_management_logger: Optional[CustomLogger] = None,
tools: Optional[List[Dict]] = None,
+ prompt_label: Optional[str] = None,
) -> Tuple[str, List[AllMessageValues], dict]:
custom_logger = (
prompt_management_logger
@@ -594,6 +599,7 @@ class Logging(LiteLLMLoggingBaseClass):
dynamic_callback_params=self.standard_callback_dynamic_params,
litellm_logging_obj=self,
tools=tools,
+ prompt_label=prompt_label,
)
self.messages = messages
return model, messages, non_default_params
@@ -1719,7 +1725,6 @@ class Logging(LiteLLMLoggingBaseClass):
start_time=start_time,
end_time=end_time,
)
-
if (
isinstance(callback, CustomLogger)
and self.model_call_details.get("litellm_params", {}).get(
@@ -2667,7 +2672,7 @@ def set_callbacks(callback_list, function_id=None): # noqa: PLR0915
"""
Globally sets the callback client
"""
- global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, traceloopLogger, athinaLogger, heliconeLogger, supabaseClient, lunaryLogger, promptLayerLogger, langFuseLogger, customLogger, weightsBiasesLogger, logfireLogger, dynamoLogger, s3Logger, dataDogLogger, prometheusLogger, greenscaleLogger, openMeterLogger
+ global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, traceloopLogger, athinaLogger, heliconeLogger, supabaseClient, lunaryLogger, promptLayerLogger, langFuseLogger, customLogger, weightsBiasesLogger, logfireLogger, dynamoLogger, s3Logger, dataDogLogger, prometheusLogger, greenscaleLogger, openMeterLogger, deepevalLogger
try:
for callback in callback_list:
@@ -2951,6 +2956,15 @@ def _init_custom_logger_compatible_class( # noqa: PLR0915
galileo_logger = GalileoObserve()
_in_memory_loggers.append(galileo_logger)
return galileo_logger # type: ignore
+
+ elif logging_integration == "deepeval":
+ for callback in _in_memory_loggers:
+ if isinstance(callback, DeepEvalLogger):
+ return callback # type: ignore
+ deepeval_logger = DeepEvalLogger()
+ _in_memory_loggers.append(deepeval_logger)
+ return deepeval_logger # type: ignore
+
elif logging_integration == "logfire":
if "LOGFIRE_TOKEN" not in os.environ:
raise ValueError("LOGFIRE_TOKEN not found in environment variables")
@@ -3120,6 +3134,10 @@ def get_custom_logger_compatible_class( # noqa: PLR0915
for callback in _in_memory_loggers:
if isinstance(callback, GalileoObserve):
return callback
+ elif logging_integration == "deepeval":
+ for callback in _in_memory_loggers:
+ if isinstance(callback, DeepEvalLogger):
+ return callback
elif logging_integration == "langsmith":
for callback in _in_memory_loggers:
if isinstance(callback, LangsmithLogger):
@@ -3594,7 +3612,10 @@ class StandardLoggingPayloadSetup:
@staticmethod
def get_error_information(
original_exception: Optional[Exception],
+ traceback_str: Optional[str] = None,
) -> StandardLoggingPayloadErrorInformation:
+ from litellm.constants import MAXIMUM_TRACEBACK_LINES_TO_LOG
+
error_status: str = str(getattr(original_exception, "status_code", ""))
error_class: str = (
str(original_exception.__class__.__name__) if original_exception else ""
@@ -3602,14 +3623,14 @@ class StandardLoggingPayloadSetup:
_llm_provider_in_exception = getattr(original_exception, "llm_provider", "")
# Get traceback information (first 100 lines)
- traceback_info = ""
+ traceback_info = traceback_str or ""
if original_exception:
tb = getattr(original_exception, "__traceback__", None)
if tb:
- import traceback
-
tb_lines = traceback.format_tb(tb)
- traceback_info = "".join(tb_lines[:100]) # Limit to first 100 lines
+ traceback_info += "".join(
+ tb_lines[:MAXIMUM_TRACEBACK_LINES_TO_LOG]
+ ) # Limit to first 100 lines
# Get additional error details
error_message = str(original_exception)
diff --git a/litellm/litellm_core_utils/logging_callback_manager.py b/litellm/litellm_core_utils/logging_callback_manager.py
index dec3add4e1..e1bddc6549 100644
--- a/litellm/litellm_core_utils/logging_callback_manager.py
+++ b/litellm/litellm_core_utils/logging_callback_manager.py
@@ -266,3 +266,12 @@ class LoggingCallbackManager:
if isinstance(callback, callback_type) and callback not in all_callbacks:
all_callbacks.append(callback)
return all_callbacks
+
+ def callback_is_active(self, callback_type: Type[CustomLogger]) -> bool:
+ """
+ Returns True if any of the active callbacks are of the given type
+ """
+ return any(
+ isinstance(callback, callback_type)
+ for callback in self._get_all_callbacks()
+ )
diff --git a/litellm/litellm_core_utils/prompt_templates/common_utils.py b/litellm/litellm_core_utils/prompt_templates/common_utils.py
index 387c072ffd..a99a2677e8 100644
--- a/litellm/litellm_core_utils/prompt_templates/common_utils.py
+++ b/litellm/litellm_core_utils/prompt_templates/common_utils.py
@@ -573,3 +573,12 @@ def get_tool_call_names(tools: List[ChatCompletionToolParam]) -> List[str]:
if tool_call_name:
tool_call_names.append(tool_call_name)
return tool_call_names
+
+
+def is_function_call(optional_params: dict) -> bool:
+ """
+ Checks if the optional params contain the function call
+ """
+ if "functions" in optional_params and optional_params.get("functions"):
+ return True
+ return False
diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index 2386e82d4a..7d862af6ae 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -2267,6 +2267,7 @@ from litellm.types.llms.bedrock import (
)
from litellm.types.llms.bedrock import ToolSpecBlock as BedrockToolSpecBlock
from litellm.types.llms.bedrock import ToolUseBlock as BedrockToolUseBlock
+from litellm.types.llms.bedrock import VideoBlock as BedrockVideoBlock
def _parse_content_type(content_type: str) -> str:
@@ -2356,9 +2357,15 @@ class BedrockImageProcessor:
supported_doc_formats = (
litellm.AmazonConverseConfig().get_supported_document_types()
)
+ supported_video_formats = (
+ litellm.AmazonConverseConfig().get_supported_video_types()
+ )
document_types = ["application", "text"]
is_document = any(mime_type.startswith(doc_type) for doc_type in document_types)
+ supported_image_and_video_formats: List[str] = (
+ supported_video_formats + supported_image_formats
+ )
if is_document:
potential_extensions = mimetypes.guess_all_extensions(mime_type)
@@ -2376,9 +2383,12 @@ class BedrockImageProcessor:
# Use first valid extension instead of provided image_format
return valid_extensions[0]
else:
- if image_format not in supported_image_formats:
+ #########################################################
+ # Check if image_format is an image or video
+ #########################################################
+ if image_format not in supported_image_and_video_formats:
raise ValueError(
- f"Unsupported image format: {image_format}. Supported formats: {supported_image_formats}"
+ f"Unsupported image format: {image_format}. Supported formats: {supported_image_and_video_formats}"
)
return image_format
@@ -2392,6 +2402,14 @@ class BedrockImageProcessor:
document_types = ["application", "text"]
is_document = any(mime_type.startswith(doc_type) for doc_type in document_types)
+ supported_video_formats = (
+ litellm.AmazonConverseConfig().get_supported_video_types()
+ )
+ is_video = any(
+ image_format.startswith(video_type)
+ for video_type in supported_video_formats
+ )
+
if is_document:
return BedrockContentBlock(
document=BedrockDocumentBlock(
@@ -2400,6 +2418,10 @@ class BedrockImageProcessor:
name=f"DocumentPDFmessages_{str(uuid.uuid4())}",
)
)
+ elif is_video:
+ return BedrockContentBlock(
+ video=BedrockVideoBlock(source=_blob, format=image_format)
+ )
else:
return BedrockContentBlock(
image=BedrockImageBlock(source=_blob, format=image_format)
diff --git a/litellm/litellm_core_utils/streaming_handler.py b/litellm/litellm_core_utils/streaming_handler.py
index 785186b8ab..5ae1dcf988 100644
--- a/litellm/litellm_core_utils/streaming_handler.py
+++ b/litellm/litellm_core_utils/streaming_handler.py
@@ -149,14 +149,14 @@ class CustomStreamWrapper:
)
def check_is_function_call(self, logging_obj) -> bool:
+ from litellm.litellm_core_utils.prompt_templates.common_utils import (
+ is_function_call,
+ )
+
if hasattr(logging_obj, "optional_params") and isinstance(
logging_obj.optional_params, dict
):
- if (
- "litellm_param_is_function_call" in logging_obj.optional_params
- and logging_obj.optional_params["litellm_param_is_function_call"]
- is True
- ):
+ if is_function_call(logging_obj.optional_params):
return True
return False
@@ -695,10 +695,14 @@ class CustomStreamWrapper:
Ensure model id is always the same across all chunks.
- If first chunk sent + id set, use that id for all chunks.
+ If a valid ID is received in any chunk, use it for the response.
"""
- if self.response_id is None:
+ if self.response_id is None and id and isinstance(id, str) and id.strip():
self.response_id = id
+
+ if id and isinstance(id, str) and id.strip():
+ model_response._hidden_params["received_model_id"] = id
+
if self.response_id is not None and isinstance(self.response_id, str):
model_response.id = self.response_id
return model_response
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 9052cec97c..e7f421e75b 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -49,6 +49,7 @@ from litellm.utils import (
Usage,
add_dummy_tool,
has_tool_call_blocks,
+ supports_reasoning,
token_counter,
)
@@ -62,7 +63,7 @@ else:
LoggingClass = Any
-ANTHROPIC_HOSTED_TOOLS = ["web_search", "bash", "text_editor"]
+ANTHROPIC_HOSTED_TOOLS = ["web_search", "bash", "text_editor", "code_execution"]
class AnthropicConfig(AnthropicModelInfo, BaseConfig):
@@ -121,7 +122,10 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
"web_search_options",
]
- if "claude-3-7-sonnet" in model:
+ if "claude-3-7-sonnet" in model or supports_reasoning(
+ model=model,
+ custom_llm_provider=self.custom_llm_provider,
+ ):
params.append("thinking")
return params
diff --git a/litellm/llms/azure/image_edit/transformation.py b/litellm/llms/azure/image_edit/transformation.py
new file mode 100644
index 0000000000..f476d6a94e
--- /dev/null
+++ b/litellm/llms/azure/image_edit/transformation.py
@@ -0,0 +1,83 @@
+from typing import Optional, cast
+
+import httpx
+
+import litellm
+from litellm.llms.openai.image_edit.transformation import OpenAIImageEditConfig
+from litellm.secret_managers.main import get_secret_str
+from litellm.utils import _add_path_to_api_base
+
+
+class AzureImageEditConfig(OpenAIImageEditConfig):
+ def validate_environment(
+ self,
+ headers: dict,
+ model: str,
+ api_key: Optional[str] = None,
+ ) -> dict:
+ api_key = (
+ api_key
+ or litellm.api_key
+ or litellm.azure_key
+ or get_secret_str("AZURE_OPENAI_API_KEY")
+ or get_secret_str("AZURE_API_KEY")
+ )
+
+ headers.update(
+ {
+ "Authorization": f"Bearer {api_key}",
+ }
+ )
+ return headers
+
+ def get_complete_url(
+ self,
+ model: str,
+ api_base: Optional[str],
+ litellm_params: dict,
+ ) -> str:
+ """
+ Constructs a complete URL for the API request.
+
+ Args:
+ - api_base: Base URL, e.g.,
+ "https://litellm8397336933.openai.azure.com"
+ OR
+ "https://litellm8397336933.openai.azure.com/openai/deployments//images/edits?api-version=2024-05-01-preview"
+ - model: Model name (deployment name).
+ - litellm_params: Additional query parameters, including "api_version".
+
+ Returns:
+ - A complete URL string, e.g.,
+ "https://litellm8397336933.openai.azure.com/openai/deployments//images/edits?api-version=2024-05-01-preview"
+ """
+ api_base = api_base or litellm.api_base or get_secret_str("AZURE_API_BASE")
+ if api_base is None:
+ raise ValueError(
+ f"api_base is required for Azure AI Studio. Please set the api_base parameter. Passed `api_base={api_base}`"
+ )
+ original_url = httpx.URL(api_base)
+
+ # Extract api_version or use default
+ api_version = cast(Optional[str], litellm_params.get("api_version"))
+
+ # Create a new dictionary with existing params
+ query_params = dict(original_url.params)
+
+ # Add api_version if needed
+ if "api-version" not in query_params and api_version:
+ query_params["api-version"] = api_version
+
+ # Add the path to the base URL using the model as deployment name
+ if "/openai/deployments/" not in api_base:
+ new_url = _add_path_to_api_base(
+ api_base=api_base,
+ ending_path=f"/openai/deployments/{model}/images/edits",
+ )
+ else:
+ new_url = api_base
+
+ # Use the new query_params dictionary
+ final_url = httpx.URL(new_url).copy_with(params=query_params)
+
+ return str(final_url)
diff --git a/litellm/llms/base_llm/__init__.py b/litellm/llms/base_llm/__init__.py
index cd682a0dbe..187c985fd6 100644
--- a/litellm/llms/base_llm/__init__.py
+++ b/litellm/llms/base_llm/__init__.py
@@ -2,6 +2,7 @@ from .anthropic_messages.transformation import BaseAnthropicMessagesConfig
from .audio_transcription.transformation import BaseAudioTranscriptionConfig
from .chat.transformation import BaseConfig
from .embedding.transformation import BaseEmbeddingConfig
+from .image_edit.transformation import BaseImageEditConfig
from .image_generation.transformation import BaseImageGenerationConfig
__all__ = [
@@ -10,4 +11,5 @@ __all__ = [
"BaseAudioTranscriptionConfig",
"BaseAnthropicMessagesConfig",
"BaseEmbeddingConfig",
+ "BaseImageEditConfig",
]
diff --git a/litellm/llms/base_llm/files/transformation.py b/litellm/llms/base_llm/files/transformation.py
index 4d749af21e..38a6dc4809 100644
--- a/litellm/llms/base_llm/files/transformation.py
+++ b/litellm/llms/base_llm/files/transformation.py
@@ -3,6 +3,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
import httpx
+from litellm.proxy._types import UserAPIKeyAuth
from litellm.types.llms.openai import (
AllMessageValues,
CreateFileRequest,
@@ -115,6 +116,7 @@ class BaseFileEndpoints(ABC):
llm_router: Router,
target_model_names_list: List[str],
litellm_parent_otel_span: Span,
+ user_api_key_dict: UserAPIKeyAuth,
) -> OpenAIFileObject:
pass
diff --git a/litellm/llms/base_llm/image_edit/transformation.py b/litellm/llms/base_llm/image_edit/transformation.py
new file mode 100644
index 0000000000..f3ae2d32ea
--- /dev/null
+++ b/litellm/llms/base_llm/image_edit/transformation.py
@@ -0,0 +1,121 @@
+import types
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple
+
+import httpx
+from httpx._types import RequestFiles
+
+from litellm.types.images.main import ImageEditOptionalRequestParams
+from litellm.types.responses.main import *
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import FileTypes
+
+if TYPE_CHECKING:
+ from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+ from litellm.utils import ImageResponse as _ImageResponse
+
+ from ..chat.transformation import BaseLLMException as _BaseLLMException
+
+ LiteLLMLoggingObj = _LiteLLMLoggingObj
+ BaseLLMException = _BaseLLMException
+ ImageResponse = _ImageResponse
+else:
+ LiteLLMLoggingObj = Any
+ BaseLLMException = Any
+ ImageResponse = Any
+
+
+class BaseImageEditConfig(ABC):
+ def __init__(self):
+ pass
+
+ @classmethod
+ def get_config(cls):
+ return {
+ k: v
+ for k, v in cls.__dict__.items()
+ if not k.startswith("__")
+ and not k.startswith("_abc")
+ and not isinstance(
+ v,
+ (
+ types.FunctionType,
+ types.BuiltinFunctionType,
+ classmethod,
+ staticmethod,
+ ),
+ )
+ and v is not None
+ }
+
+ @abstractmethod
+ def get_supported_openai_params(self, model: str) -> list:
+ pass
+
+ @abstractmethod
+ def map_openai_params(
+ self,
+ image_edit_optional_params: ImageEditOptionalRequestParams,
+ model: str,
+ drop_params: bool,
+ ) -> Dict:
+ pass
+
+ @abstractmethod
+ def validate_environment(
+ self,
+ headers: dict,
+ model: str,
+ api_key: Optional[str] = None,
+ ) -> dict:
+ return {}
+
+ @abstractmethod
+ def get_complete_url(
+ self,
+ model: str,
+ api_base: Optional[str],
+ litellm_params: dict,
+ ) -> str:
+ """
+ OPTIONAL
+
+ Get the complete url for the request
+
+ Some providers need `model` in `api_base`
+ """
+ if api_base is None:
+ raise ValueError("api_base is required")
+ return api_base
+
+ @abstractmethod
+ def transform_image_edit_request(
+ self,
+ model: str,
+ prompt: str,
+ image: FileTypes,
+ image_edit_optional_request_params: Dict,
+ litellm_params: GenericLiteLLMParams,
+ headers: dict,
+ ) -> Tuple[Dict, RequestFiles]:
+ pass
+
+ @abstractmethod
+ def transform_image_edit_response(
+ self,
+ model: str,
+ raw_response: httpx.Response,
+ logging_obj: LiteLLMLoggingObj,
+ ) -> ImageResponse:
+ pass
+
+ def get_error_class(
+ self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
+ ) -> BaseLLMException:
+ from ..chat.transformation import BaseLLMException
+
+ raise BaseLLMException(
+ status_code=status_code,
+ message=error_message,
+ headers=headers,
+ )
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index 7dad73d871..2fc3020bea 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -45,7 +45,7 @@ from litellm.types.utils import (
PromptTokensDetailsWrapper,
Usage,
)
-from litellm.utils import add_dummy_tool, has_tool_call_blocks
+from litellm.utils import add_dummy_tool, has_tool_call_blocks, supports_reasoning
from ..common_utils import BedrockError, BedrockModelInfo, get_bedrock_tool_name
@@ -146,9 +146,10 @@ class AmazonConverseConfig(BaseConfig):
# only anthropic and mistral support tool choice config. otherwise (E.g. cohere) will fail the call - https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ToolChoice.html
supported_params.append("tool_choice")
- if (
- "claude-3-7" in model
- ): # [TODO]: move to a 'supports_reasoning_content' param from model cost map
+ if "claude-3-7" in model or "claude-sonnet-4" in model or "claude-opus-4" in model or supports_reasoning(
+ model=model,
+ custom_llm_provider=self.custom_llm_provider,
+ ):
supported_params.append("thinking")
supported_params.append("reasoning_effort")
return supported_params
@@ -190,8 +191,11 @@ class AmazonConverseConfig(BaseConfig):
def get_supported_document_types(self) -> List[str]:
return ["pdf", "csv", "doc", "docx", "xls", "xlsx", "html", "txt", "md"]
+ def get_supported_video_types(self) -> List[str]:
+ return ["mp4", "mov", "mkv", "webm", "flv", "mpeg", "mpg", "wmv", "3gp"]
+
def get_all_supported_content_types(self) -> List[str]:
- return self.get_supported_image_types() + self.get_supported_document_types()
+ return self.get_supported_image_types() + self.get_supported_document_types() + self.get_supported_video_types()
def _create_json_tool_call_for_response_format(
self,
diff --git a/litellm/llms/bedrock/image/cost_calculator.py b/litellm/llms/bedrock/image/cost_calculator.py
index 0a20b44cb3..a0dc91d711 100644
--- a/litellm/llms/bedrock/image/cost_calculator.py
+++ b/litellm/llms/bedrock/image/cost_calculator.py
@@ -37,5 +37,7 @@ def cost_calculator(
)
output_cost_per_image: float = _model_info.get("output_cost_per_image") or 0.0
- num_images: int = len(image_response.data)
+ num_images: int = 0
+ if image_response.data:
+ num_images = len(image_response.data)
return output_cost_per_image * num_images
diff --git a/litellm/llms/cohere/embed/transformation.py b/litellm/llms/cohere/embed/transformation.py
index 03d7edd126..b5b350a952 100644
--- a/litellm/llms/cohere/embed/transformation.py
+++ b/litellm/llms/cohere/embed/transformation.py
@@ -50,7 +50,10 @@ class CohereEmbeddingConfig(BaseEmbeddingConfig):
) -> dict:
for k, v in non_default_params.items():
if k == "encoding_format":
- optional_params["embedding_types"] = v
+ if isinstance(v, list):
+ optional_params["embedding_types"] = v
+ else:
+ optional_params["embedding_types"] = [v]
elif k == "dimensions":
optional_params["output_dimension"] = v
return optional_params
diff --git a/litellm/llms/custom_httpx/aiohttp_handler.py b/litellm/llms/custom_httpx/aiohttp_handler.py
index 13141fc19a..5a1d420865 100644
--- a/litellm/llms/custom_httpx/aiohttp_handler.py
+++ b/litellm/llms/custom_httpx/aiohttp_handler.py
@@ -102,7 +102,7 @@ class BaseLLMAIOHTTPHandler:
api_base: str,
headers: dict,
data: dict,
- timeout: Union[float, httpx.Timeout],
+ timeout: Optional[Union[float, httpx.Timeout]],
litellm_params: dict,
stream: bool = False,
files: Optional[dict] = None,
diff --git a/litellm/llms/custom_httpx/aiohttp_transport.py b/litellm/llms/custom_httpx/aiohttp_transport.py
new file mode 100644
index 0000000000..ca408651e6
--- /dev/null
+++ b/litellm/llms/custom_httpx/aiohttp_transport.py
@@ -0,0 +1,220 @@
+import asyncio
+import contextlib
+import typing
+from typing import Callable, Dict, Union
+
+import aiohttp
+import aiohttp.client_exceptions
+import httpx
+from aiohttp.client import ClientResponse, ClientSession
+
+from litellm._logging import verbose_logger
+
+AIOHTTP_EXC_MAP: Dict = {
+ # Order matters here, most specific exception first
+ # Timeout related exceptions
+ aiohttp.ServerTimeoutError: httpx.TimeoutException,
+ aiohttp.ConnectionTimeoutError: httpx.ConnectTimeout,
+ aiohttp.SocketTimeoutError: httpx.ReadTimeout,
+ # Proxy related exceptions
+ aiohttp.ClientProxyConnectionError: httpx.ProxyError,
+ # SSL related exceptions
+ aiohttp.ClientConnectorCertificateError: httpx.ProtocolError,
+ aiohttp.ClientSSLError: httpx.ProtocolError,
+ aiohttp.ServerFingerprintMismatch: httpx.ProtocolError,
+ # Network related exceptions
+ aiohttp.ClientConnectorError: httpx.ConnectError,
+ aiohttp.ClientOSError: httpx.ConnectError,
+ aiohttp.ClientPayloadError: httpx.ReadError,
+ # Connection disconnection exceptions
+ aiohttp.ServerDisconnectedError: httpx.ReadError,
+ # Response related exceptions
+ aiohttp.ClientConnectionError: httpx.NetworkError,
+ aiohttp.ClientPayloadError: httpx.ReadError,
+ aiohttp.ContentTypeError: httpx.ReadError,
+ aiohttp.TooManyRedirects: httpx.TooManyRedirects,
+ # URL related exceptions
+ aiohttp.InvalidURL: httpx.InvalidURL,
+ # Base exceptions
+ aiohttp.ClientError: httpx.RequestError,
+}
+
+# Add client_exceptions module exceptions
+try:
+ import aiohttp.client_exceptions
+
+ AIOHTTP_EXC_MAP[aiohttp.client_exceptions.ClientPayloadError] = httpx.ReadError
+except ImportError:
+ pass
+
+
+@contextlib.contextmanager
+def map_aiohttp_exceptions() -> typing.Iterator[None]:
+ try:
+ yield
+ except Exception as exc:
+ mapped_exc = None
+
+ for from_exc, to_exc in AIOHTTP_EXC_MAP.items():
+ if not isinstance(exc, from_exc): # type: ignore
+ continue
+ if mapped_exc is None or issubclass(to_exc, mapped_exc):
+ mapped_exc = to_exc
+
+ if mapped_exc is None: # pragma: no cover
+ raise
+
+ message = str(exc)
+ raise mapped_exc(message) from exc
+
+
+class AiohttpResponseStream(httpx.AsyncByteStream):
+ CHUNK_SIZE = 1024 * 16
+
+ def __init__(self, aiohttp_response: ClientResponse) -> None:
+ self._aiohttp_response = aiohttp_response
+
+ async def __aiter__(self) -> typing.AsyncIterator[bytes]:
+ try:
+ with map_aiohttp_exceptions():
+ async for chunk in self._aiohttp_response.content.iter_chunked(
+ self.CHUNK_SIZE
+ ):
+ yield chunk
+ except aiohttp.ClientPayloadError as e:
+ # Handle incomplete transfers more gracefully
+ # Log the error but don't re-raise if we've already yielded some data
+ verbose_logger.debug(f"Transfer incomplete, but continuing: {e}")
+ # If the error is due to incomplete transfer encoding, we can still
+ # return what we've received so far, similar to how httpx handles it
+ return
+ except Exception:
+ # For other exceptions, use the normal mapping
+ with map_aiohttp_exceptions():
+ raise
+
+ async def aclose(self) -> None:
+ with map_aiohttp_exceptions():
+ await self._aiohttp_response.__aexit__(None, None, None)
+
+
+class AiohttpTransport(httpx.AsyncBaseTransport):
+ def __init__(
+ self, client: Union[ClientSession, Callable[[], ClientSession]]
+ ) -> None:
+ self.client = client
+
+ async def aclose(self) -> None:
+ if isinstance(self.client, ClientSession):
+ await self.client.close()
+
+
+class LiteLLMAiohttpTransport(AiohttpTransport):
+ """
+ LiteLLM wrapper around AiohttpTransport to handle %-encodings in URLs
+ and event loop lifecycle issues in CI/CD environments
+
+ Credit to: https://github.com/karpetrosyan/httpx-aiohttp for this implementation
+ """
+
+ def __init__(self, client: Union[ClientSession, Callable[[], ClientSession]]):
+ self.client = client
+ super().__init__(client=client)
+ # Store the client factory for recreating sessions when needed
+ if callable(client):
+ self._client_factory = client
+
+ def _get_valid_client_session(self) -> ClientSession:
+ """
+ Helper to get a valid ClientSession for the current event loop.
+
+ This handles the case where the session was created in a different
+ event loop that may have been closed (common in CI/CD environments).
+ """
+ from aiohttp.client import ClientSession
+
+ # If we don't have a client or it's not a ClientSession, create one
+ if not isinstance(self.client, ClientSession):
+ if hasattr(self, "_client_factory") and callable(self._client_factory):
+ self.client = self._client_factory()
+ else:
+ self.client = ClientSession()
+ return self.client
+
+ # Check if the existing session is still valid for the current event loop
+ try:
+ session_loop = getattr(self.client, "_loop", None)
+ current_loop = asyncio.get_running_loop()
+
+ # If session is from a different or closed loop, recreate it
+ if (
+ session_loop is None
+ or session_loop != current_loop
+ or session_loop.is_closed()
+ ):
+ # Clean up the old session
+ try:
+ # Note: not awaiting close() here as it might be from a different loop
+ # The session will be garbage collected
+ pass
+ except Exception as e:
+ verbose_logger.debug(f"Error closing old session: {e}")
+ pass
+
+ # Create a new session in the current event loop
+ if hasattr(self, "_client_factory") and callable(self._client_factory):
+ self.client = self._client_factory()
+ else:
+ self.client = ClientSession()
+
+ except (RuntimeError, AttributeError):
+ # If we can't check the loop or session is invalid, recreate it
+ if hasattr(self, "_client_factory") and callable(self._client_factory):
+ self.client = self._client_factory()
+ else:
+ self.client = ClientSession()
+
+ return self.client
+
+ async def handle_async_request(
+ self,
+ request: httpx.Request,
+ ) -> httpx.Response:
+ from aiohttp import ClientTimeout
+ from yarl import URL as YarlURL
+
+ timeout = request.extensions.get("timeout", {})
+ sni_hostname = request.extensions.get("sni_hostname")
+
+ # Use helper to ensure we have a valid session for the current event loop
+ client_session = self._get_valid_client_session()
+
+ with map_aiohttp_exceptions():
+ try:
+ data = request.content
+ except httpx.RequestNotRead:
+ data = request.stream # type: ignore
+ request.headers.pop("transfer-encoding", None) # handled by aiohttp
+
+ response = await client_session.request(
+ method=request.method,
+ url=YarlURL(str(request.url), encoded=True),
+ headers=request.headers,
+ data=data,
+ allow_redirects=False,
+ auto_decompress=False,
+ compress=False,
+ timeout=ClientTimeout(
+ sock_connect=timeout.get("connect"),
+ sock_read=timeout.get("read"),
+ connect=timeout.get("pool"),
+ ),
+ server_hostname=sni_hostname,
+ ).__aenter__()
+
+ return httpx.Response(
+ status_code=response.status,
+ headers=response.headers,
+ content=AiohttpResponseStream(response),
+ request=request,
+ )
diff --git a/litellm/llms/custom_httpx/http_handler.py b/litellm/llms/custom_httpx/http_handler.py
index f99e04ab9d..aaf3b92e6b 100644
--- a/litellm/llms/custom_httpx/http_handler.py
+++ b/litellm/llms/custom_httpx/http_handler.py
@@ -2,12 +2,15 @@ import asyncio
import os
import ssl
import time
-from typing import TYPE_CHECKING, Any, Callable, List, Mapping, Optional, Union
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Mapping, Optional, Union
import httpx
+from aiohttp import ClientSession, TCPConnector
from httpx import USE_CLIENT_DEFAULT, AsyncHTTPTransport, HTTPTransport
+from httpx._types import RequestFiles
import litellm
+from litellm._logging import verbose_logger
from litellm.constants import _DEFAULT_TTL_FOR_HTTPX_CLIENTS
from litellm.litellm_core_utils.logging_utils import track_llm_api_timing
from litellm.types.llms.custom_http import *
@@ -17,9 +20,11 @@ if TYPE_CHECKING:
from litellm.litellm_core_utils.litellm_logging import (
Logging as LiteLLMLoggingObject,
)
+ from litellm.llms.custom_httpx.aiohttp_transport import LiteLLMAiohttpTransport
else:
LlmProviders = Any
LiteLLMLoggingObject = Any
+ LiteLLMAiohttpTransport = Any
try:
from litellm._version import version
@@ -145,7 +150,11 @@ class AsyncHTTPHandler:
if timeout is None:
timeout = _DEFAULT_TIMEOUT
# Create a client with a connection pool
- transport = self._create_async_transport()
+
+ transport = AsyncHTTPHandler._create_async_transport(
+ ssl_context=ssl_verify if isinstance(ssl_verify, ssl.SSLContext) else None,
+ ssl_verify=ssl_verify if isinstance(ssl_verify, bool) else None,
+ )
return httpx.AsyncClient(
transport=transport,
@@ -183,6 +192,9 @@ class AsyncHTTPHandler:
follow_redirects if follow_redirects is not None else USE_CLIENT_DEFAULT
)
+ params = params or {}
+ params.update(HTTPHandler.extract_query_params(url))
+
response = await self.client.get(
url, params=params, headers=headers, follow_redirects=_follow_redirects # type: ignore
)
@@ -199,6 +211,7 @@ class AsyncHTTPHandler:
timeout: Optional[Union[float, httpx.Timeout]] = None,
stream: bool = False,
logging_obj: Optional[LiteLLMLoggingObject] = None,
+ files: Optional[RequestFiles] = None,
):
start_time = time.time()
try:
@@ -206,7 +219,14 @@ class AsyncHTTPHandler:
timeout = self.timeout
req = self.client.build_request(
- "POST", url, data=data, json=json, params=params, headers=headers, timeout=timeout # type: ignore
+ "POST",
+ url,
+ data=data, # type: ignore
+ json=json,
+ params=params,
+ headers=headers,
+ timeout=timeout,
+ files=files,
)
response = await self.client.send(req, stream=stream)
response.raise_for_status()
@@ -451,12 +471,94 @@ class AsyncHTTPHandler:
except Exception:
pass
- def _create_async_transport(self) -> Optional[AsyncHTTPTransport]:
+ @staticmethod
+ def _create_async_transport(
+ ssl_context: Optional[ssl.SSLContext] = None, ssl_verify: Optional[bool] = None
+ ) -> Optional[Union[LiteLLMAiohttpTransport, AsyncHTTPTransport]]:
"""
- Create an async transport with IPv4 only if litellm.force_ipv4 is True.
- Otherwise, return None.
+ - Creates a transport for httpx.AsyncClient
+ - if litellm.force_ipv4 is True, it will return AsyncHTTPTransport with local_address="0.0.0.0"
+ - [Default] It will return AiohttpTransport
+ - Users can opt out of using AiohttpTransport by setting litellm.use_aiohttp_transport to False
- Some users have seen httpx ConnectionError when using ipv6 - forcing ipv4 resolves the issue for them
+
+ Notes on this handler:
+ - Why AiohttpTransport?
+ - By default, we use AiohttpTransport since it offers much higher throughput and lower latency than httpx.
+
+ - Why force ipv4?
+ - Some users have seen httpx ConnectionError when using ipv6 - forcing ipv4 resolves the issue for them
+ """
+ #########################################################
+ # AIOHTTP TRANSPORT is off by default
+ #########################################################
+ if AsyncHTTPHandler._should_use_aiohttp_transport():
+ return AsyncHTTPHandler._create_aiohttp_transport(
+ ssl_context=ssl_context, ssl_verify=ssl_verify
+ )
+
+ #########################################################
+ # HTTPX TRANSPORT is used when aiohttp is not installed
+ #########################################################
+ return AsyncHTTPHandler._create_httpx_transport()
+
+ @staticmethod
+ def _should_use_aiohttp_transport() -> bool:
+ """
+ This is feature flagged for now and is opt in as we roll out to all users.
+
+ Controlled by either
+ - litellm.use_aiohttp_transport or os.getenv("USE_AIOHTTP_TRANSPORT") = "True"
+ """
+ from litellm.secret_managers.main import str_to_bool
+
+ if (
+ str_to_bool(os.getenv("USE_AIOHTTP_TRANSPORT", "False"))
+ or litellm.use_aiohttp_transport
+ ):
+ verbose_logger.debug("Using AiohttpTransport...")
+ return True
+ return False
+
+ @staticmethod
+ def _create_aiohttp_transport(
+ ssl_verify: Optional[bool] = None,
+ ssl_context: Optional[ssl.SSLContext] = None,
+ ) -> LiteLLMAiohttpTransport:
+ """
+ Creates an AiohttpTransport with RequestNotRead error handling
+
+ - If force_ipv4 is True, it will create an AiohttpTransport with local_addr set to "0.0.0.0"
+ - [Default] If force_ipv4 is False, it will create an AiohttpTransport with default settings
+ """
+ from litellm.llms.custom_httpx.aiohttp_transport import LiteLLMAiohttpTransport
+
+ #########################################################
+ # If ssl_verify is None, set it to True
+ # TCP Connector does not allow ssl_verify to be None
+ # by default aiohttp sets ssl_verify to True
+ #########################################################
+ if ssl_verify is None:
+ ssl_verify = True
+
+ verbose_logger.debug("Creating AiohttpTransport...")
+ return LiteLLMAiohttpTransport(
+ client=lambda: ClientSession(
+ connector=TCPConnector(
+ verify_ssl=ssl_verify,
+ ssl_context=ssl_context,
+ local_addr=("0.0.0.0", 0) if litellm.force_ipv4 else None,
+ )
+ ),
+ )
+
+ @staticmethod
+ def _create_httpx_transport() -> Optional[AsyncHTTPTransport]:
+ """
+ Creates an AsyncHTTPTransport
+
+ - If force_ipv4 is True, it will create an AsyncHTTPTransport with local_address set to "0.0.0.0"
+ - [Default] If force_ipv4 is False, it will return None
"""
if litellm.force_ipv4:
return AsyncHTTPTransport(local_address="0.0.0.0")
@@ -518,12 +620,28 @@ class HTTPHandler:
_follow_redirects = (
follow_redirects if follow_redirects is not None else USE_CLIENT_DEFAULT
)
+ params = params or {}
+ params.update(self.extract_query_params(url))
response = self.client.get(
url, params=params, headers=headers, follow_redirects=_follow_redirects # type: ignore
)
+
return response
+ @staticmethod
+ def extract_query_params(url: str) -> Dict[str, str]:
+ """
+ Parse a URL’s query-string into a dict.
+
+ :param url: full URL, e.g. "https://.../path?foo=1&bar=2"
+ :return: {"foo": "1", "bar": "2"}
+ """
+ from urllib.parse import parse_qsl, urlsplit
+
+ parts = urlsplit(url)
+ return dict(parse_qsl(parts.query))
+
def post(
self,
url: str,
@@ -533,7 +651,7 @@ class HTTPHandler:
headers: Optional[dict] = None,
stream: bool = False,
timeout: Optional[Union[float, httpx.Timeout]] = None,
- files: Optional[dict] = None,
+ files: Optional[Union[dict, RequestFiles]] = None,
content: Any = None,
logging_obj: Optional[LiteLLMLoggingObject] = None,
):
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 4cf89accfc..6dfc68f724 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -30,6 +30,7 @@ from litellm.llms.base_llm.base_model_iterator import MockResponseIterator
from litellm.llms.base_llm.chat.transformation import BaseConfig
from litellm.llms.base_llm.embedding.transformation import BaseEmbeddingConfig
from litellm.llms.base_llm.files.transformation import BaseFilesConfig
+from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig
from litellm.llms.base_llm.realtime.transformation import BaseRealtimeConfig
from litellm.llms.base_llm.rerank.transformation import BaseRerankConfig
from litellm.llms.base_llm.responses.transformation import BaseResponsesAPIConfig
@@ -58,7 +59,12 @@ from litellm.types.rerank import OptionalRerankParams, RerankResponse
from litellm.types.responses.main import DeleteResponseResult
from litellm.types.router import GenericLiteLLMParams
from litellm.types.utils import EmbeddingResponse, FileTypes, TranscriptionResponse
-from litellm.utils import CustomStreamWrapper, ModelResponse, ProviderConfigManager
+from litellm.utils import (
+ CustomStreamWrapper,
+ ImageResponse,
+ ModelResponse,
+ ProviderConfigManager,
+)
if TYPE_CHECKING:
from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
@@ -826,7 +832,7 @@ class BaseLLMHTTPHandler:
response = await async_httpx_client.post(
url=api_base,
headers=headers,
- data=json.dumps(request_data),
+ json=request_data,
timeout=timeout,
)
except Exception as e:
@@ -1317,7 +1323,7 @@ class BaseLLMHTTPHandler:
response = sync_httpx_client.post(
url=api_base,
headers=headers,
- data=json.dumps(data),
+ json=data,
timeout=timeout
or response_api_optional_request_params.get("timeout"),
stream=stream,
@@ -1345,7 +1351,7 @@ class BaseLLMHTTPHandler:
response = sync_httpx_client.post(
url=api_base,
headers=headers,
- data=json.dumps(data),
+ json=data,
timeout=timeout
or response_api_optional_request_params.get("timeout"),
)
@@ -1438,7 +1444,7 @@ class BaseLLMHTTPHandler:
response = await async_httpx_client.post(
url=api_base,
headers=headers,
- data=json.dumps(data),
+ json=data,
timeout=timeout
or response_api_optional_request_params.get("timeout"),
stream=stream,
@@ -1468,7 +1474,7 @@ class BaseLLMHTTPHandler:
response = await async_httpx_client.post(
url=api_base,
headers=headers,
- data=json.dumps(data),
+ json=data,
timeout=timeout
or response_api_optional_request_params.get("timeout"),
)
@@ -1544,7 +1550,7 @@ class BaseLLMHTTPHandler:
try:
response = await async_httpx_client.delete(
- url=url, headers=headers, data=json.dumps(data), timeout=timeout
+ url=url, headers=headers, json=data, timeout=timeout
)
except Exception as e:
@@ -1628,7 +1634,7 @@ class BaseLLMHTTPHandler:
try:
response = sync_httpx_client.delete(
- url=url, headers=headers, data=json.dumps(data), timeout=timeout
+ url=url, headers=headers, json=data, timeout=timeout
)
except Exception as e:
@@ -2018,7 +2024,9 @@ class BaseLLMHTTPHandler:
def _handle_error(
self,
e: Exception,
- provider_config: Union[BaseConfig, BaseRerankConfig, BaseResponsesAPIConfig],
+ provider_config: Union[
+ BaseConfig, BaseRerankConfig, BaseResponsesAPIConfig, BaseImageEditConfig
+ ],
):
status_code = getattr(e, "status_code", 500)
error_headers = getattr(e, "headers", None)
@@ -2098,3 +2106,193 @@ class BaseLLMHTTPHandler:
raise Exception(
f"Unexpected error while closing WebSocket: {close_error}"
)
+
+ def image_edit_handler(
+ self,
+ model: str,
+ image: Any,
+ prompt: str,
+ image_edit_provider_config: BaseImageEditConfig,
+ image_edit_optional_request_params: Dict,
+ custom_llm_provider: str,
+ litellm_params: GenericLiteLLMParams,
+ logging_obj: LiteLLMLoggingObj,
+ timeout: Union[float, httpx.Timeout],
+ extra_headers: Optional[Dict[str, Any]] = None,
+ extra_body: Optional[Dict[str, Any]] = None,
+ client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
+ _is_async: bool = False,
+ fake_stream: bool = False,
+ litellm_metadata: Optional[Dict[str, Any]] = None,
+ ) -> Union[ImageResponse, Coroutine[Any, Any, ImageResponse],]:
+ """
+
+ Handles image edit requests.
+ When _is_async=True, returns a coroutine instead of making the call directly.
+ """
+ if _is_async:
+ # Return the async coroutine if called with _is_async=True
+ return self.async_image_edit_handler(
+ model=model,
+ image=image,
+ prompt=prompt,
+ image_edit_provider_config=image_edit_provider_config,
+ image_edit_optional_request_params=image_edit_optional_request_params,
+ custom_llm_provider=custom_llm_provider,
+ litellm_params=litellm_params,
+ logging_obj=logging_obj,
+ extra_headers=extra_headers,
+ extra_body=extra_body,
+ timeout=timeout,
+ client=client if isinstance(client, AsyncHTTPHandler) else None,
+ fake_stream=fake_stream,
+ litellm_metadata=litellm_metadata,
+ )
+
+ if client is None or not isinstance(client, HTTPHandler):
+ sync_httpx_client = _get_httpx_client(
+ params={"ssl_verify": litellm_params.get("ssl_verify", None)}
+ )
+ else:
+ sync_httpx_client = client
+
+ headers = image_edit_provider_config.validate_environment(
+ api_key=litellm_params.api_key,
+ headers=image_edit_optional_request_params.get("extra_headers", {}) or {},
+ model=model,
+ )
+
+ if extra_headers:
+ headers.update(extra_headers)
+
+ api_base = image_edit_provider_config.get_complete_url(
+ model=model,
+ api_base=litellm_params.api_base,
+ litellm_params=dict(litellm_params),
+ )
+
+ data, files = image_edit_provider_config.transform_image_edit_request(
+ model=model,
+ image=image,
+ prompt=prompt,
+ image_edit_optional_request_params=image_edit_optional_request_params,
+ litellm_params=litellm_params,
+ headers=headers,
+ )
+
+ ## LOGGING
+ logging_obj.pre_call(
+ input=prompt,
+ api_key="",
+ additional_args={
+ "complete_input_dict": data,
+ "api_base": api_base,
+ "headers": headers,
+ },
+ )
+
+ try:
+ response = sync_httpx_client.post(
+ url=api_base,
+ headers=headers,
+ data=data,
+ files=files,
+ timeout=timeout,
+ )
+
+ except Exception as e:
+ raise self._handle_error(
+ e=e,
+ provider_config=image_edit_provider_config,
+ )
+
+ return image_edit_provider_config.transform_image_edit_response(
+ model=model,
+ raw_response=response,
+ logging_obj=logging_obj,
+ )
+
+ async def async_image_edit_handler(
+ self,
+ model: str,
+ image: FileTypes,
+ prompt: str,
+ image_edit_provider_config: BaseImageEditConfig,
+ image_edit_optional_request_params: Dict,
+ custom_llm_provider: str,
+ litellm_params: GenericLiteLLMParams,
+ logging_obj: LiteLLMLoggingObj,
+ timeout: Union[float, httpx.Timeout],
+ extra_headers: Optional[Dict[str, Any]] = None,
+ extra_body: Optional[Dict[str, Any]] = None,
+ client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
+ fake_stream: bool = False,
+ litellm_metadata: Optional[Dict[str, Any]] = None,
+ ) -> ImageResponse:
+ """
+ Async version of the image edit handler.
+ Uses async HTTP client to make requests.
+ """
+ if client is None or not isinstance(client, AsyncHTTPHandler):
+ async_httpx_client = get_async_httpx_client(
+ llm_provider=litellm.LlmProviders(custom_llm_provider),
+ params={"ssl_verify": litellm_params.get("ssl_verify", None)},
+ )
+ else:
+ async_httpx_client = client
+
+ headers = image_edit_provider_config.validate_environment(
+ api_key=litellm_params.api_key,
+ headers=image_edit_optional_request_params.get("extra_headers", {}) or {},
+ model=model,
+ )
+
+ if extra_headers:
+ headers.update(extra_headers)
+
+ api_base = image_edit_provider_config.get_complete_url(
+ model=model,
+ api_base=litellm_params.api_base,
+ litellm_params=dict(litellm_params),
+ )
+
+ data, files = image_edit_provider_config.transform_image_edit_request(
+ model=model,
+ image=image,
+ prompt=prompt,
+ image_edit_optional_request_params=image_edit_optional_request_params,
+ litellm_params=litellm_params,
+ headers=headers,
+ )
+
+ ## LOGGING
+ logging_obj.pre_call(
+ input=prompt,
+ api_key="",
+ additional_args={
+ "complete_input_dict": data,
+ "api_base": api_base,
+ "headers": headers,
+ },
+ )
+
+ try:
+ response = await async_httpx_client.post(
+ url=api_base,
+ headers=headers,
+ data=data,
+ files=files,
+ timeout=timeout,
+ )
+
+ except Exception as e:
+ raise self._handle_error(
+ e=e,
+ provider_config=image_edit_provider_config,
+ )
+
+ return image_edit_provider_config.transform_image_edit_response(
+ model=model,
+ raw_response=response,
+ logging_obj=logging_obj,
+ )
diff --git a/litellm/llms/custom_llm.py b/litellm/llms/custom_llm.py
index a2d04b1838..390258e4e8 100644
--- a/litellm/llms/custom_llm.py
+++ b/litellm/llms/custom_llm.py
@@ -14,7 +14,7 @@ import httpx
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.types.utils import GenericStreamingChunk
-from litellm.utils import ImageResponse, ModelResponse
+from litellm.utils import ImageResponse, ModelResponse, EmbeddingResponse
from .base import BaseLLM
@@ -152,6 +152,30 @@ class CustomLLM(BaseLLM):
) -> ImageResponse:
raise CustomLLMError(status_code=500, message="Not implemented yet!")
+ def embedding(
+ self,
+ model: str,
+ input: list,
+ model_response: EmbeddingResponse,
+ print_verbose: Callable,
+ logging_obj: Any,
+ optional_params: dict,
+ litellm_params=None,
+ ) -> EmbeddingResponse:
+ raise CustomLLMError(status_code=500, message="Not implemented yet!")
+
+ async def aembedding(
+ self,
+ model: str,
+ input: list,
+ model_response: EmbeddingResponse,
+ print_verbose: Callable,
+ logging_obj: Any,
+ optional_params: dict,
+ litellm_params=None,
+ ) -> EmbeddingResponse:
+ raise CustomLLMError(status_code=500, message="Not implemented yet!")
+
def custom_chat_llm_router(
async_fn: bool, stream: Optional[bool], custom_llm: CustomLLM
diff --git a/litellm/llms/featherless_ai/chat/transformation.py b/litellm/llms/featherless_ai/chat/transformation.py
index aac887d735..96702cf886 100644
--- a/litellm/llms/featherless_ai/chat/transformation.py
+++ b/litellm/llms/featherless_ai/chat/transformation.py
@@ -26,7 +26,6 @@ class FeatherlessAIConfig(OpenAIGPTConfig):
tool_choice: Optional[str] = None
tools: Optional[list] = None
-
def __init__(
self,
frequency_penalty: Optional[int] = None,
@@ -66,9 +65,6 @@ class FeatherlessAIConfig(OpenAIGPTConfig):
"stop",
"temperature",
"top_p",
- "response_format",
- "tool_choice",
- "tools"
]
def map_openai_params(
@@ -125,8 +121,8 @@ class FeatherlessAIConfig(OpenAIGPTConfig):
) -> dict:
if not api_key:
raise ValueError("Missing Featherless AI API Key")
-
+
headers["Authorization"] = f"Bearer {api_key}"
headers["Content-Type"] = "application/json"
-
+
return headers
diff --git a/litellm/llms/gemini/chat/transformation.py b/litellm/llms/gemini/chat/transformation.py
index dc65c46455..743ad73cf3 100644
--- a/litellm/llms/gemini/chat/transformation.py
+++ b/litellm/llms/gemini/chat/transformation.py
@@ -83,6 +83,7 @@ class GoogleAIStudioGeminiConfig(VertexGeminiConfig):
"logprobs",
"frequency_penalty",
"modalities",
+ "parallel_tool_calls",
]
if supports_reasoning(model):
supported_params.append("reasoning_effort")
diff --git a/litellm/llms/mistral/mistral_chat_transformation.py b/litellm/llms/mistral/mistral_chat_transformation.py
index f580414df8..a675beebbd 100644
--- a/litellm/llms/mistral/mistral_chat_transformation.py
+++ b/litellm/llms/mistral/mistral_chat_transformation.py
@@ -184,7 +184,10 @@ class MistralConfig(OpenAIGPTConfig):
if _content_block and isinstance(_content_block, list):
for c in _content_block:
if c.get("type") == "image_url":
- return messages
+ if is_async:
+ return super()._transform_messages(messages, model, True)
+ else:
+ return super()._transform_messages(messages, model, False)
## 2. If content is list, then convert to string
messages = handle_messages_with_content_list_to_str_conversion(messages)
diff --git a/litellm/llms/ollama/common_utils.py b/litellm/llms/ollama/common_utils.py
index 5cf213950c..daff7a1206 100644
--- a/litellm/llms/ollama/common_utils.py
+++ b/litellm/llms/ollama/common_utils.py
@@ -1,7 +1,8 @@
-from typing import Union
+from typing import List, Optional, Union
import httpx
+from litellm import verbose_logger
from litellm.llms.base_llm.chat.transformation import BaseLLMException
@@ -43,3 +44,92 @@ def _convert_image(image):
image_data.convert("RGB").save(jpeg_image, "JPEG")
jpeg_image.seek(0)
return base64.b64encode(jpeg_image.getvalue()).decode("utf-8")
+
+
+from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
+
+
+class OllamaModelInfo(BaseLLMModelInfo):
+ """
+ Dynamic model listing for Ollama server.
+ Fetches /api/models and /api/tags, then for each tag also /api/models?tag=...
+ Returns the union of all model names.
+ """
+
+ @staticmethod
+ def get_api_key(api_key=None) -> None:
+ return None # Ollama does not use an API key by default
+
+ @staticmethod
+ def get_api_base(api_base: Optional[str] = None) -> str:
+ from litellm.secret_managers.main import get_secret_str
+
+ # env var OLLAMA_API_BASE or default
+ return api_base or get_secret_str("OLLAMA_API_BASE") or "http://localhost:11434"
+
+ def get_models(self, api_key=None, api_base: Optional[str] = None) -> List[str]:
+ """
+ List all models available on the Ollama server via /api/tags endpoint.
+ """
+
+ base = self.get_api_base(api_base)
+ names: set[str] = set()
+ try:
+ resp = httpx.get(f"{base}/api/tags")
+ resp.raise_for_status()
+ data = resp.json()
+ # Expecting a dict with a 'models' list
+ models_list = []
+ if (
+ isinstance(data, dict)
+ and "models" in data
+ and isinstance(data["models"], list)
+ ):
+ models_list = data["models"]
+ elif isinstance(data, list):
+ models_list = data
+ # Extract model names
+ for entry in models_list:
+ if not isinstance(entry, dict):
+ continue
+ nm = entry.get("name") or entry.get("model")
+ if isinstance(nm, str):
+ names.add(nm)
+ except Exception as e:
+ verbose_logger.warning(f"Error retrieving ollama tag endpoint: {e}")
+ # If tags endpoint fails, fall back to static list
+ try:
+ from litellm import models_by_provider
+
+ static = models_by_provider.get("ollama", []) or []
+ return [f"ollama/{m}" for m in static]
+ except Exception as e1:
+ verbose_logger.warning(
+ f"Error retrieving static ollama models as fallback: {e1}"
+ )
+ return []
+ # assemble full model names
+ result = sorted(names)
+ return result
+
+ def validate_environment(
+ self,
+ headers: dict,
+ model: str,
+ messages: list,
+ optional_params: dict,
+ litellm_params: dict,
+ api_key=None,
+ api_base=None,
+ ) -> dict:
+ """
+ No-op environment validation for Ollama.
+ """
+ return {}
+
+ @staticmethod
+ def get_base_model(model: str) -> str:
+ """
+ Return the base model name for Ollama (no-op).
+ """
+ return model
diff --git a/litellm/llms/openai/common_utils.py b/litellm/llms/openai/common_utils.py
index 55da16d6cd..8661cf43e2 100644
--- a/litellm/llms/openai/common_utils.py
+++ b/litellm/llms/openai/common_utils.py
@@ -12,7 +12,10 @@ from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI
import litellm
from litellm.llms.base_llm.chat.transformation import BaseLLMException
-from litellm.llms.custom_httpx.http_handler import _DEFAULT_TTL_FOR_HTTPX_CLIENTS
+from litellm.llms.custom_httpx.http_handler import (
+ _DEFAULT_TTL_FOR_HTTPX_CLIENTS,
+ AsyncHTTPHandler,
+)
class OpenAIError(BaseLLMException):
@@ -196,6 +199,7 @@ class BaseOpenAILLM:
return httpx.AsyncClient(
limits=httpx.Limits(max_connections=1000, max_keepalive_connections=100),
verify=litellm.ssl_verify,
+ transport=AsyncHTTPHandler._create_async_transport(),
)
@staticmethod
diff --git a/litellm/llms/openai/fine_tuning/handler.py b/litellm/llms/openai/fine_tuning/handler.py
index 2b697f85d2..9804ff3539 100644
--- a/litellm/llms/openai/fine_tuning/handler.py
+++ b/litellm/llms/openai/fine_tuning/handler.py
@@ -1,10 +1,10 @@
-from typing import Any, Coroutine, Optional, Union
+from typing import Any, Coroutine, Optional, Union, cast
import httpx
from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI
-from openai.types.fine_tuning import FineTuningJob
from litellm._logging import verbose_logger
+from litellm.types.utils import LiteLLMFineTuningJob
class OpenAIFineTuningAPI:
@@ -55,11 +55,12 @@ class OpenAIFineTuningAPI:
self,
create_fine_tuning_job_data: dict,
openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
- ) -> FineTuningJob:
+ ) -> LiteLLMFineTuningJob:
response = await openai_client.fine_tuning.jobs.create(
**create_fine_tuning_job_data
)
- return response
+
+ return LiteLLMFineTuningJob(**response.model_dump())
def create_fine_tuning_job(
self,
@@ -74,7 +75,7 @@ class OpenAIFineTuningAPI:
client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = None,
- ) -> Union[FineTuningJob, Coroutine[Any, Any, FineTuningJob]]:
+ ) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
openai_client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = self.get_openai_client(
@@ -104,18 +105,20 @@ class OpenAIFineTuningAPI:
verbose_logger.debug(
"creating fine tuning job, args= %s", create_fine_tuning_job_data
)
- response = openai_client.fine_tuning.jobs.create(**create_fine_tuning_job_data)
- return response
+ response = cast(OpenAI, openai_client).fine_tuning.jobs.create(
+ **create_fine_tuning_job_data
+ )
+ return LiteLLMFineTuningJob(**response.model_dump())
async def acancel_fine_tuning_job(
self,
fine_tuning_job_id: str,
openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
- ) -> FineTuningJob:
+ ) -> LiteLLMFineTuningJob:
response = await openai_client.fine_tuning.jobs.cancel(
fine_tuning_job_id=fine_tuning_job_id
)
- return response
+ return LiteLLMFineTuningJob(**response.model_dump())
def cancel_fine_tuning_job(
self,
@@ -130,7 +133,7 @@ class OpenAIFineTuningAPI:
client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = None,
- ):
+ ) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
openai_client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = self.get_openai_client(
@@ -158,10 +161,10 @@ class OpenAIFineTuningAPI:
openai_client=openai_client,
)
verbose_logger.debug("canceling fine tuning job, args= %s", fine_tuning_job_id)
- response = openai_client.fine_tuning.jobs.cancel(
+ response = cast(OpenAI, openai_client).fine_tuning.jobs.cancel(
fine_tuning_job_id=fine_tuning_job_id
)
- return response
+ return LiteLLMFineTuningJob(**response.model_dump())
async def alist_fine_tuning_jobs(
self,
@@ -222,11 +225,11 @@ class OpenAIFineTuningAPI:
self,
fine_tuning_job_id: str,
openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI],
- ) -> FineTuningJob:
+ ) -> LiteLLMFineTuningJob:
response = await openai_client.fine_tuning.jobs.retrieve(
fine_tuning_job_id=fine_tuning_job_id
)
- return response
+ return LiteLLMFineTuningJob(**response.model_dump())
def retrieve_fine_tuning_job(
self,
@@ -241,7 +244,7 @@ class OpenAIFineTuningAPI:
client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = None,
- ):
+ ) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
openai_client: Optional[
Union[OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI]
] = self.get_openai_client(
@@ -269,7 +272,7 @@ class OpenAIFineTuningAPI:
openai_client=openai_client,
)
verbose_logger.debug("retrieving fine tuning job, id= %s", fine_tuning_job_id)
- response = openai_client.fine_tuning.jobs.retrieve(
+ response = cast(OpenAI, openai_client).fine_tuning.jobs.retrieve(
fine_tuning_job_id=fine_tuning_job_id
)
- return response
+ return LiteLLMFineTuningJob(**response.model_dump())
diff --git a/litellm/llms/openai/image_edit/transformation.py b/litellm/llms/openai/image_edit/transformation.py
new file mode 100644
index 0000000000..c8a1e8f0e1
--- /dev/null
+++ b/litellm/llms/openai/image_edit/transformation.py
@@ -0,0 +1,156 @@
+from io import BufferedReader
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, cast
+
+import httpx
+from httpx._types import RequestFiles
+
+import litellm
+from litellm.images.utils import ImageEditRequestUtils
+from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.images.main import (
+ ImageEditOptionalRequestParams,
+ ImageEditRequestParams,
+)
+from litellm.types.llms.openai import FileTypes
+from litellm.types.router import GenericLiteLLMParams
+from litellm.utils import ImageResponse
+
+from ..common_utils import OpenAIError
+
+if TYPE_CHECKING:
+ from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+
+ LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+ LiteLLMLoggingObj = Any
+
+
+class OpenAIImageEditConfig(BaseImageEditConfig):
+ def get_supported_openai_params(self, model: str) -> list:
+ """
+ All OpenAI Image Edits params are supported
+ """
+ return [
+ "image",
+ "prompt",
+ "background",
+ "mask",
+ "model",
+ "n",
+ "quality",
+ "response_format",
+ "size",
+ "user",
+ "extra_headers",
+ "extra_query",
+ "extra_body",
+ "timeout",
+ ]
+
+ def map_openai_params(
+ self,
+ image_edit_optional_params: ImageEditOptionalRequestParams,
+ model: str,
+ drop_params: bool,
+ ) -> Dict:
+ """No mapping applied since inputs are in OpenAI spec already"""
+ return dict(image_edit_optional_params)
+
+ def transform_image_edit_request(
+ self,
+ model: str,
+ prompt: str,
+ image: FileTypes,
+ image_edit_optional_request_params: Dict,
+ litellm_params: GenericLiteLLMParams,
+ headers: dict,
+ ) -> Tuple[Dict, RequestFiles]:
+ """
+ No transform applied since inputs are in OpenAI spec already
+
+ This handles buffered readers as images to be sent as multipart/form-data for OpenAI
+ """
+ request = ImageEditRequestParams(
+ model=model,
+ image=image,
+ prompt=prompt,
+ **image_edit_optional_request_params,
+ )
+ request_dict = cast(Dict, request)
+
+ #########################################################
+ # Separate images as `files` and send other parameters as `data`
+ #########################################################
+ _images = request_dict.get("image") or []
+ data_without_images = {k: v for k, v in request_dict.items() if k != "image"}
+ files_list: List[Tuple[str, Any]] = []
+ for _image in _images:
+ image_content_type: str = ImageEditRequestUtils.get_image_content_type(
+ _image
+ )
+ if isinstance(_image, BufferedReader):
+ files_list.append(
+ ("image[]", (_image.name, _image, image_content_type))
+ )
+ else:
+ files_list.append(
+ ("image[]", ("image.png", _image, image_content_type))
+ )
+ return data_without_images, files_list
+
+ def transform_image_edit_response(
+ self,
+ model: str,
+ raw_response: httpx.Response,
+ logging_obj: LiteLLMLoggingObj,
+ ) -> ImageResponse:
+ """No transform applied since outputs are in OpenAI spec already"""
+ try:
+ raw_response_json = raw_response.json()
+ except Exception:
+ raise OpenAIError(
+ message=raw_response.text, status_code=raw_response.status_code
+ )
+ return ImageResponse(**raw_response_json)
+
+ def validate_environment(
+ self,
+ headers: dict,
+ model: str,
+ api_key: Optional[str] = None,
+ ) -> dict:
+ api_key = (
+ api_key
+ or litellm.api_key
+ or litellm.openai_key
+ or get_secret_str("OPENAI_API_KEY")
+ )
+ headers.update(
+ {
+ "Authorization": f"Bearer {api_key}",
+ }
+ )
+ return headers
+
+ def get_complete_url(
+ self,
+ model: str,
+ api_base: Optional[str],
+ litellm_params: dict,
+ ) -> str:
+ """
+ Get the endpoint for OpenAI responses API
+ """
+ api_base = (
+ api_base
+ or litellm.api_base
+ or get_secret_str("OPENAI_BASE_URL")
+ or get_secret_str("OPENAI_API_BASE")
+ or "https://api.openai.com/v1"
+ )
+
+ # Remove trailing slashes
+ api_base = api_base.rstrip("/")
+
+ return f"{api_base}/images/edits"
diff --git a/litellm/llms/openai/image_variations/handler.py b/litellm/llms/openai/image_variations/handler.py
index f738115a29..8b96fb6ef7 100644
--- a/litellm/llms/openai/image_variations/handler.py
+++ b/litellm/llms/openai/image_variations/handler.py
@@ -50,7 +50,7 @@ class OpenAIImageVariationsHandler:
data: dict,
headers: dict,
model: Optional[str],
- timeout: float,
+ timeout: Optional[float],
max_retries: int,
logging_obj: LiteLLMLoggingObj,
model_response: ImageResponse,
@@ -123,7 +123,7 @@ class OpenAIImageVariationsHandler:
api_base: str,
model: Optional[str],
image: FileTypes,
- timeout: float,
+ timeout: Optional[float],
custom_llm_provider: str,
logging_obj: LiteLLMLoggingObj,
optional_params: dict,
diff --git a/litellm/llms/openrouter/chat/transformation.py b/litellm/llms/openrouter/chat/transformation.py
index 77f402a131..e3f9d5c3dd 100644
--- a/litellm/llms/openrouter/chat/transformation.py
+++ b/litellm/llms/openrouter/chat/transformation.py
@@ -120,6 +120,7 @@ class OpenRouterChatCompletionStreamingHandler(BaseModelResponseIterator):
id=chunk["id"],
object="chat.completion.chunk",
created=chunk["created"],
+ usage=chunk.get("usage"),
model=chunk["model"],
choices=new_choices,
)
diff --git a/litellm/llms/sambanova/chat.py b/litellm/llms/sambanova/chat.py
index 3eda4d0bbf..57a39ec8bb 100644
--- a/litellm/llms/sambanova/chat.py
+++ b/litellm/llms/sambanova/chat.py
@@ -26,7 +26,7 @@ class SambanovaConfig(OpenAIGPTConfig):
tool_choice: Optional[str] = None
response_format: Optional[dict] = None
tools: Optional[list] = None
-
+
def __init__(
self,
max_tokens: Optional[int] = None,
@@ -54,8 +54,10 @@ class SambanovaConfig(OpenAIGPTConfig):
Get the supported OpenAI params for the given model
"""
+ from litellm.utils import supports_function_calling
- return [
+ params = [
+ "max_completion_tokens",
"max_tokens",
"response_format",
"stop",
@@ -64,11 +66,15 @@ class SambanovaConfig(OpenAIGPTConfig):
"temperature",
"top_p",
"top_k",
- "tool_choice",
- "tools",
- "parallel_tool_calls"
]
+ if supports_function_calling(model, custom_llm_provider="sambanova"):
+ params.append("tools")
+ params.append("tool_choice")
+ params.append("parallel_tool_calls")
+
+ return params
+
def map_openai_params(
self,
non_default_params: dict,
@@ -85,4 +91,4 @@ class SambanovaConfig(OpenAIGPTConfig):
optional_params["max_tokens"] = value
elif param in supported_openai_params:
optional_params[param] = value
- return optional_params
\ No newline at end of file
+ return optional_params
diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py
index 477995a157..f96848c6d5 100644
--- a/litellm/llms/vertex_ai/common_utils.py
+++ b/litellm/llms/vertex_ai/common_utils.py
@@ -84,9 +84,15 @@ def _get_vertex_url(
endpoint = "generateContent"
if stream is True:
endpoint = "streamGenerateContent"
- url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:{endpoint}?alt=sse"
+ if vertex_location== "global":
+ url = f"https://aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/global/publishers/google/models/{model}:{endpoint}?alt=sse"
+ else:
+ url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:{endpoint}?alt=sse"
else:
- url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:{endpoint}"
+ if vertex_location == "global":
+ url = f"https://aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/global/publishers/google/models/{model}:{endpoint}"
+ else:
+ url = f"https://{vertex_location}-aiplatform.googleapis.com/{vertex_api_version}/projects/{vertex_project}/locations/{vertex_location}/publishers/google/models/{model}:{endpoint}"
# if model is only numeric chars then it's a fine tuned gemini model
# model = 4965075652664360960
diff --git a/litellm/llms/vertex_ai/fine_tuning/handler.py b/litellm/llms/vertex_ai/fine_tuning/handler.py
index 7ea8527fd4..4d7f8cec02 100644
--- a/litellm/llms/vertex_ai/fine_tuning/handler.py
+++ b/litellm/llms/vertex_ai/fine_tuning/handler.py
@@ -1,10 +1,9 @@
import json
import traceback
from datetime import datetime
-from typing import Literal, Optional, Union
+from typing import Any, Coroutine, Literal, Optional, Union
import httpx
-from openai.types.fine_tuning.fine_tuning_job import FineTuningJob
import litellm
from litellm._logging import verbose_logger
@@ -20,6 +19,7 @@ from litellm.types.llms.vertex_ai import (
ResponseSupervisedTuningSpec,
ResponseTuningJob,
)
+from litellm.types.utils import LiteLLMFineTuningJob
class VertexFineTuningAPI(VertexLLM):
@@ -113,7 +113,7 @@ class VertexFineTuningAPI(VertexLLM):
def convert_vertex_response_to_open_ai_response(
self, response: ResponseTuningJob
- ) -> FineTuningJob:
+ ) -> LiteLLMFineTuningJob:
status: Literal[
"validating_files", "queued", "running", "succeeded", "failed", "cancelled"
] = "queued"
@@ -134,7 +134,7 @@ class VertexFineTuningAPI(VertexLLM):
response.get("supervisedTuningSpec", None) or {}
)
training_uri: str = _supervisedTuningSpec.get("trainingDatasetUri", "") or ""
- return FineTuningJob(
+ return LiteLLMFineTuningJob(
id=response.get("name", "") or "",
created_at=created_at,
fine_tuned_model=response.get("tunedModelDisplayName", ""),
@@ -226,7 +226,7 @@ class VertexFineTuningAPI(VertexLLM):
timeout: Union[float, httpx.Timeout],
kwargs: Optional[dict] = None,
original_hyperparameters: Optional[dict] = {},
- ):
+ ) -> Union[LiteLLMFineTuningJob, Coroutine[Any, Any, LiteLLMFineTuningJob]]:
verbose_logger.debug(
"creating fine tuning job, args= %s", create_fine_tuning_job_data
)
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 cd67be3545..b347d775ed 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
@@ -219,6 +219,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
"logprobs",
"top_logprobs",
"modalities",
+ "parallel_tool_calls",
]
if supports_reasoning(model):
supported_params.append("reasoning_effort")
@@ -455,9 +456,6 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
and value
):
optional_params["tools"] = self._map_function(value=value)
- optional_params["litellm_param_is_function_call"] = (
- True if param == "functions" else False
- )
elif param == "tool_choice" and (
isinstance(value, str) or isinstance(value, dict)
):
@@ -466,6 +464,19 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
)
if _tool_choice_value is not None:
optional_params["tool_choice"] = _tool_choice_value
+ elif param == "parallel_tool_calls":
+ if value is False:
+ tools = non_default_params.get("tools", non_default_params.get("functions"))
+ num_function_declarations = len(tools) if isinstance(tools, list) else 0
+ if num_function_declarations > 1:
+ raise litellm.utils.UnsupportedParamsError(
+ message=(
+ "`parallel_tool_calls=False` is not supported when multiple tools are "
+ "provided for Gemini. Specify a single tool, or set "
+ "`parallel_tool_calls=True`."
+ ),
+ status_code=400,
+ )
elif param == "seed":
optional_params["seed"] = value
elif param == "reasoning_effort" and isinstance(value, str):
@@ -880,8 +891,14 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
else:
return "stop"
- def _process_candidates(self, _candidates, model_response, litellm_params):
+ def _process_candidates(
+ self, _candidates, model_response, standard_optional_params: dict
+ ):
"""Helper method to process candidates and extract metadata"""
+ from litellm.litellm_core_utils.prompt_templates.common_utils import (
+ is_function_call,
+ )
+
grounding_metadata: List[dict] = []
safety_ratings: List = []
citation_metadata: List = []
@@ -918,9 +935,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
functions, tools = self._transform_parts(
parts=candidate["content"]["parts"],
index=candidate.get("index", idx),
- is_function_call=litellm_params.get(
- "litellm_param_is_function_call"
- ),
+ is_function_call=is_function_call(standard_optional_params),
)
if "logprobsResult" in candidate:
@@ -1019,7 +1034,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
safety_ratings,
citation_metadata,
) = self._process_candidates(
- _candidates, model_response, litellm_params
+ _candidates, model_response, logging_obj.optional_params
)
usage = self._calculate_usage(completion_response=completion_response)
diff --git a/litellm/llms/vertex_ai/image_generation/cost_calculator.py b/litellm/llms/vertex_ai/image_generation/cost_calculator.py
index 2ba18c095b..646c6080a2 100644
--- a/litellm/llms/vertex_ai/image_generation/cost_calculator.py
+++ b/litellm/llms/vertex_ai/image_generation/cost_calculator.py
@@ -19,5 +19,7 @@ def cost_calculator(
)
output_cost_per_image: float = _model_info.get("output_cost_per_image") or 0.0
- num_images: int = len(image_response.data)
+ num_images: int = 0
+ if image_response.data:
+ num_images = len(image_response.data)
return output_cost_per_image * num_images
diff --git a/litellm/llms/vertex_ai/vertex_llm_base.py b/litellm/llms/vertex_ai/vertex_llm_base.py
index b4b04df0a9..9349fb56da 100644
--- a/litellm/llms/vertex_ai/vertex_llm_base.py
+++ b/litellm/llms/vertex_ai/vertex_llm_base.py
@@ -40,15 +40,7 @@ class VertexBase:
def load_auth(
self, credentials: Optional[VERTEX_CREDENTIALS_TYPES], project_id: Optional[str]
) -> Tuple[Any, str]:
- import google.auth as google_auth
- from google.auth import identity_pool
- from google.auth.transport.requests import (
- Request, # type: ignore[import-untyped]
- )
-
if credentials is not None:
- import google.oauth2.service_account
-
if isinstance(credentials, str):
verbose_logger.debug(
"Vertex: Loading vertex credentials from %s", credentials
@@ -80,25 +72,33 @@ class VertexBase:
# Check if the JSON object contains Workload Identity Federation configuration
if "type" in json_obj and json_obj["type"] == "external_account":
- creds = identity_pool.Credentials.from_info(json_obj)
+ creds = self._credentials_from_identity_pool(json_obj)
+ # Check if the JSON object contains Authorized User configuration (via gcloud auth application-default login)
+ elif "type" in json_obj and json_obj["type"] == "authorized_user":
+ creds = self._credentials_from_authorized_user(
+ json_obj,
+ scopes=["https://www.googleapis.com/auth/cloud-platform"],
+ )
+ if project_id is None:
+ project_id = (
+ creds.quota_project_id
+ ) # authorized user credentials don't have a project_id, only quota_project_id
else:
- creds = (
- google.oauth2.service_account.Credentials.from_service_account_info(
- json_obj,
- scopes=["https://www.googleapis.com/auth/cloud-platform"],
- )
+ creds = self._credentials_from_service_account(
+ json_obj,
+ scopes=["https://www.googleapis.com/auth/cloud-platform"],
)
if project_id is None:
project_id = getattr(creds, "project_id", None)
else:
- creds, creds_project_id = google_auth.default(
- scopes=["https://www.googleapis.com/auth/cloud-platform"],
+ creds, creds_project_id = self._credentials_from_default_auth(
+ scopes=["https://www.googleapis.com/auth/cloud-platform"]
)
if project_id is None:
project_id = creds_project_id
- creds.refresh(Request()) # type: ignore
+ self.refresh_auth(creds)
if not project_id:
raise ValueError("Could not resolve project_id")
@@ -110,6 +110,31 @@ class VertexBase:
return creds, project_id
+ # Google Auth Helpers -- extracted for mocking purposes in tests
+ def _credentials_from_identity_pool(self, json_obj):
+ from google.auth import identity_pool
+
+ return identity_pool.Credentials.from_info(json_obj)
+
+ def _credentials_from_authorized_user(self, json_obj, scopes):
+ import google.oauth2.credentials
+
+ return google.oauth2.credentials.Credentials.from_authorized_user_info(
+ json_obj, scopes=scopes
+ )
+
+ def _credentials_from_service_account(self, json_obj, scopes):
+ import google.oauth2.service_account
+
+ return google.oauth2.service_account.Credentials.from_service_account_info(
+ json_obj, scopes=scopes
+ )
+
+ def _credentials_from_default_auth(self, scopes):
+ import google.auth as google_auth
+
+ return google_auth.default(scopes=scopes)
+
def refresh_auth(self, credentials: Any) -> None:
from google.auth.transport.requests import (
Request, # type: ignore[import-untyped]
@@ -287,7 +312,7 @@ class VertexBase:
)
except Exception as e:
verbose_logger.exception(
- "Failed to load vertex credentials. Check to see if credentials containing partial/invalid information."
+ f"Failed to load vertex credentials. Check to see if credentials containing partial/invalid information. Error: {str(e)}"
)
raise e
@@ -303,16 +328,6 @@ class VertexBase:
## VALIDATE CREDENTIALS
verbose_logger.debug(f"Validating credentials for project_id: {project_id}")
if (
- project_id is not None
- and credential_project_id
- and credential_project_id != project_id
- ):
- raise ValueError(
- "Could not resolve project_id. Credential project_id: {} does not match requested project_id: {}".format(
- _credentials.quota_project_id, project_id
- )
- )
- elif (
project_id is None
and credential_project_id is not None
and isinstance(credential_project_id, str)
diff --git a/litellm/main.py b/litellm/main.py
index e97942ae72..3e01631cdc 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -86,6 +86,7 @@ from litellm.utils import (
ProviderConfigManager,
Usage,
add_openai_metadata,
+ add_provider_specific_params_to_optional_params,
async_mock_completion_streaming_obj,
convert_to_model_response_object,
create_pretrained_tokenizer,
@@ -97,7 +98,9 @@ from litellm.utils import (
get_optional_params_image_gen,
get_optional_params_transcription,
get_secret,
+ get_standard_openai_params,
mock_completion_streaming_obj,
+ pre_process_non_default_params,
read_config_args,
supports_httpx_timeout,
token_counter,
@@ -183,12 +186,10 @@ from .types.llms.openai import (
ChatCompletionPredictionContentParam,
ChatCompletionUserMessage,
HttpxBinaryResponseContent,
- ImageGenerationRequestQuality,
OpenAIModerationResponse,
OpenAIWebSearchOptions,
)
from .types.utils import (
- LITELLM_IMAGE_VARIATION_PROVIDERS,
AdapterCompletionStreamWrapper,
ChatCompletionMessageToolCall,
CompletionTokensDetails,
@@ -204,7 +205,6 @@ encoding = tiktoken.get_encoding("cl100k_base")
from litellm.utils import (
Choices,
EmbeddingResponse,
- ImageResponse,
Message,
ModelResponse,
TextChoices,
@@ -431,6 +431,7 @@ async def acompletion(
prompt_id=kwargs.get("prompt_id", None),
prompt_variables=kwargs.get("prompt_variables", None),
tools=tools,
+ prompt_label=kwargs.get("prompt_label", None),
)
#########################################################
@@ -986,6 +987,7 @@ def completion( # type: ignore # noqa: PLR0915
assistant_continue_message=assistant_continue_message,
)
######## end of unpacking kwargs ###########
+ standard_openai_params = get_standard_openai_params(params=args)
non_default_params = get_non_default_completion_params(kwargs=kwargs)
litellm_params = {} # used to prevent unbound var errors
## PROMPT MANAGEMENT HOOKS ##
@@ -1004,6 +1006,7 @@ def completion( # type: ignore # noqa: PLR0915
non_default_params=non_default_params,
prompt_id=prompt_id,
prompt_variables=prompt_variables,
+ prompt_label=kwargs.get("prompt_label", None),
)
try:
@@ -1139,42 +1142,53 @@ def completion( # type: ignore # noqa: PLR0915
if dynamic_api_key is not None:
api_key = dynamic_api_key
# check if user passed in any of the OpenAI optional params
- optional_params = get_optional_params(
- functions=functions,
- function_call=function_call,
- temperature=temperature,
- top_p=top_p,
- n=n,
- stream=stream,
- stream_options=stream_options,
- stop=stop,
- max_tokens=max_tokens,
- max_completion_tokens=max_completion_tokens,
- modalities=modalities,
- prediction=prediction,
- audio=audio,
- presence_penalty=presence_penalty,
- frequency_penalty=frequency_penalty,
- logit_bias=logit_bias,
- user=user,
+ optional_param_args = {
+ "functions": functions,
+ "function_call": function_call,
+ "temperature": temperature,
+ "top_p": top_p,
+ "n": n,
+ "stream": stream,
+ "stream_options": stream_options,
+ "stop": stop,
+ "max_tokens": max_tokens,
+ "max_completion_tokens": max_completion_tokens,
+ "modalities": modalities,
+ "prediction": prediction,
+ "audio": audio,
+ "presence_penalty": presence_penalty,
+ "frequency_penalty": frequency_penalty,
+ "logit_bias": logit_bias,
+ "user": user,
# params to identify the model
+ "model": model,
+ "custom_llm_provider": custom_llm_provider,
+ "response_format": response_format,
+ "seed": seed,
+ "tools": tools,
+ "tool_choice": tool_choice,
+ "max_retries": max_retries,
+ "logprobs": logprobs,
+ "top_logprobs": top_logprobs,
+ "api_version": api_version,
+ "parallel_tool_calls": parallel_tool_calls,
+ "messages": messages,
+ "reasoning_effort": reasoning_effort,
+ "thinking": thinking,
+ "web_search_options": web_search_options,
+ "allowed_openai_params": kwargs.get("allowed_openai_params"),
+ }
+ optional_params = get_optional_params(
+ **optional_param_args, **non_default_params
+ )
+ processed_non_default_params = pre_process_non_default_params(
model=model,
+ passed_params=optional_param_args,
+ special_params=non_default_params,
custom_llm_provider=custom_llm_provider,
- response_format=response_format,
- seed=seed,
- tools=tools,
- tool_choice=tool_choice,
- max_retries=max_retries,
- logprobs=logprobs,
- top_logprobs=top_logprobs,
- api_version=api_version,
- parallel_tool_calls=parallel_tool_calls,
- messages=messages,
- reasoning_effort=reasoning_effort,
- thinking=thinking,
- web_search_options=web_search_options,
- allowed_openai_params=kwargs.get("allowed_openai_params"),
- **non_default_params,
+ additional_drop_params=kwargs.get("additional_drop_params"),
+ remove_sensitive_keys=True,
+ add_provider_specific_params=True,
)
if litellm.add_function_to_prompt and optional_params.get(
@@ -1237,10 +1251,10 @@ def completion( # type: ignore # noqa: PLR0915
max_retries=max_retries,
timeout=timeout,
)
- logging.update_environment_variables(
+ cast(LiteLLMLoggingObj, logging).update_environment_variables(
model=model,
user=user,
- optional_params=optional_params,
+ optional_params=processed_non_default_params, # [IMPORTANT] - using processed_non_default_params ensures consistent params logged to langfuse for finetuning / eval datasets.
litellm_params=litellm_params,
custom_llm_provider=custom_llm_provider,
)
@@ -4023,6 +4037,32 @@ def embedding( # noqa: PLR0915
client=client,
aembedding=aembedding,
)
+ elif custom_llm_provider in litellm._custom_providers:
+ custom_handler: Optional[CustomLLM] = None
+ for item in litellm.custom_provider_map:
+ if item["provider"] == custom_llm_provider:
+ custom_handler = item["custom_handler"]
+
+ if custom_handler is None:
+ raise LiteLLMUnknownProvider(
+ model=model, custom_llm_provider=custom_llm_provider
+ )
+
+ handler_fn = (
+ custom_handler.embedding
+ if not aembedding
+ else custom_handler.aembedding
+ )
+
+ response = handler_fn(
+ model=model,
+ input=input,
+ logging_obj=logging,
+ optional_params=optional_params,
+ model_response=EmbeddingResponse(),
+ print_verbose=print_verbose,
+ litellm_params=litellm_params,
+ )
else:
raise LiteLLMUnknownProvider(
model=model, custom_llm_provider=custom_llm_provider
@@ -4578,516 +4618,6 @@ async def amoderation(
)
-##### Image Generation #######################
-@client
-async def aimage_generation(*args, **kwargs) -> ImageResponse:
- """
- Asynchronously calls the `image_generation` function with the given arguments and keyword arguments.
-
- Parameters:
- - `args` (tuple): Positional arguments to be passed to the `image_generation` function.
- - `kwargs` (dict): Keyword arguments to be passed to the `image_generation` function.
-
- Returns:
- - `response` (Any): The response returned by the `image_generation` function.
- """
- loop = asyncio.get_event_loop()
- model = args[0] if len(args) > 0 else kwargs["model"]
- ### PASS ARGS TO Image Generation ###
- kwargs["aimg_generation"] = True
- custom_llm_provider = None
- try:
- # Use a partial function to pass your keyword arguments
- func = partial(image_generation, *args, **kwargs)
-
- # Add the context to the function
- ctx = contextvars.copy_context()
- func_with_context = partial(ctx.run, func)
-
- _, custom_llm_provider, _, _ = get_llm_provider(
- model=model, api_base=kwargs.get("api_base", None)
- )
-
- # Await normally
- init_response = await loop.run_in_executor(None, func_with_context)
- if isinstance(init_response, dict) or isinstance(
- init_response, ImageResponse
- ): ## CACHING SCENARIO
- if isinstance(init_response, dict):
- init_response = ImageResponse(**init_response)
- response = init_response
- elif asyncio.iscoroutine(init_response):
- response = await init_response # type: ignore
- else:
- # Call the synchronous function using run_in_executor
- response = await loop.run_in_executor(None, func_with_context)
- return response
- except Exception as e:
- custom_llm_provider = custom_llm_provider or "openai"
- raise exception_type(
- model=model,
- custom_llm_provider=custom_llm_provider,
- original_exception=e,
- completion_kwargs=args,
- extra_kwargs=kwargs,
- )
-
-
-@client
-def image_generation( # noqa: PLR0915
- prompt: str,
- model: Optional[str] = None,
- n: Optional[int] = None,
- quality: Optional[Union[str, ImageGenerationRequestQuality]] = None,
- response_format: Optional[str] = None,
- size: Optional[str] = None,
- style: Optional[str] = None,
- user: Optional[str] = None,
- timeout=600, # default to 10 minutes
- api_key: Optional[str] = None,
- api_base: Optional[str] = None,
- api_version: Optional[str] = None,
- custom_llm_provider=None,
- **kwargs,
-) -> ImageResponse:
- """
- Maps the https://api.openai.com/v1/images/generations endpoint.
-
- Currently supports just Azure + OpenAI.
- """
- try:
- args = locals()
- aimg_generation = kwargs.get("aimg_generation", False)
- litellm_call_id = kwargs.get("litellm_call_id", None)
- logger_fn = kwargs.get("logger_fn", None)
- mock_response: Optional[str] = kwargs.get("mock_response", None) # type: ignore
- proxy_server_request = kwargs.get("proxy_server_request", None)
- azure_ad_token_provider = kwargs.get("azure_ad_token_provider", None)
- model_info = kwargs.get("model_info", None)
- metadata = kwargs.get("metadata", {})
- litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore
- client = kwargs.get("client", None)
- extra_headers = kwargs.get("extra_headers", None)
- headers: dict = kwargs.get("headers", None) or {}
- base_model = kwargs.get("base_model", None)
- if extra_headers is not None:
- headers.update(extra_headers)
- model_response: ImageResponse = litellm.utils.ImageResponse()
- dynamic_api_key: Optional[str] = None
- if model is not None or custom_llm_provider is not None:
- model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
- model=model, # type: ignore
- custom_llm_provider=custom_llm_provider,
- api_base=api_base,
- )
- else:
- model = "dall-e-2"
- custom_llm_provider = "openai" # default to dall-e-2 on openai
- model_response._hidden_params["model"] = model
- openai_params = [
- "user",
- "request_timeout",
- "api_base",
- "api_version",
- "api_key",
- "deployment_id",
- "organization",
- "base_url",
- "default_headers",
- "timeout",
- "max_retries",
- "n",
- "quality",
- "size",
- "style",
- ]
- litellm_params = all_litellm_params
- default_params = openai_params + litellm_params
- non_default_params = {
- k: v for k, v in kwargs.items() if k not in default_params
- } # model-specific params - pass them straight to the model/provider
-
- image_generation_config: Optional[BaseImageGenerationConfig] = None
- if (
- custom_llm_provider is not None
- and custom_llm_provider in LlmProviders._member_map_.values()
- ):
- image_generation_config = (
- ProviderConfigManager.get_provider_image_generation_config(
- model=base_model or model,
- provider=LlmProviders(custom_llm_provider),
- )
- )
-
- optional_params = get_optional_params_image_gen(
- model=base_model or model,
- n=n,
- quality=quality,
- response_format=response_format,
- size=size,
- style=style,
- user=user,
- custom_llm_provider=custom_llm_provider,
- provider_config=image_generation_config,
- **non_default_params,
- )
-
- litellm_params_dict = get_litellm_params(**kwargs)
-
- logging: Logging = litellm_logging_obj
- logging.update_environment_variables(
- model=model,
- user=user,
- optional_params=optional_params,
- litellm_params={
- "timeout": timeout,
- "azure": False,
- "litellm_call_id": litellm_call_id,
- "logger_fn": logger_fn,
- "proxy_server_request": proxy_server_request,
- "model_info": model_info,
- "metadata": metadata,
- "preset_cache_key": None,
- "stream_response": {},
- },
- custom_llm_provider=custom_llm_provider,
- )
- if "custom_llm_provider" not in logging.model_call_details:
- logging.model_call_details["custom_llm_provider"] = custom_llm_provider
- if mock_response is not None:
- return mock_image_generation(model=model, mock_response=mock_response)
-
- if custom_llm_provider == "azure":
- # azure configs
- api_type = get_secret_str("AZURE_API_TYPE") or "azure"
-
- api_base = api_base or litellm.api_base or get_secret_str("AZURE_API_BASE")
-
- api_version = (
- api_version
- or litellm.api_version
- or get_secret_str("AZURE_API_VERSION")
- )
-
- api_key = (
- api_key
- or litellm.api_key
- or litellm.azure_key
- or get_secret_str("AZURE_OPENAI_API_KEY")
- or get_secret_str("AZURE_API_KEY")
- )
-
- azure_ad_token = optional_params.pop(
- "azure_ad_token", None
- ) or get_secret_str("AZURE_AD_TOKEN")
-
- default_headers = {
- "Content-Type": "application/json;",
- "api-key": api_key,
- }
- for k, v in default_headers.items():
- if k not in headers:
- headers[k] = v
-
- model_response = azure_chat_completions.image_generation(
- model=model,
- prompt=prompt,
- timeout=timeout,
- api_key=api_key,
- api_base=api_base,
- azure_ad_token=azure_ad_token,
- azure_ad_token_provider=azure_ad_token_provider,
- logging_obj=litellm_logging_obj,
- optional_params=optional_params,
- model_response=model_response,
- api_version=api_version,
- aimg_generation=aimg_generation,
- client=client,
- headers=headers,
- litellm_params=litellm_params_dict,
- )
- elif (
- custom_llm_provider == "openai"
- or custom_llm_provider in litellm.openai_compatible_providers
- ):
- model_response = openai_chat_completions.image_generation(
- model=model,
- prompt=prompt,
- timeout=timeout,
- api_key=api_key or dynamic_api_key,
- api_base=api_base,
- logging_obj=litellm_logging_obj,
- optional_params=optional_params,
- model_response=model_response,
- aimg_generation=aimg_generation,
- client=client,
- )
- elif custom_llm_provider == "bedrock":
- if model is None:
- raise Exception("Model needs to be set for bedrock")
- model_response = bedrock_image_generation.image_generation( # type: ignore
- model=model,
- prompt=prompt,
- timeout=timeout,
- logging_obj=litellm_logging_obj,
- optional_params=optional_params,
- model_response=model_response,
- aimg_generation=aimg_generation,
- client=client,
- )
- elif custom_llm_provider == "vertex_ai":
- vertex_ai_project = (
- optional_params.pop("vertex_project", None)
- or optional_params.pop("vertex_ai_project", None)
- or litellm.vertex_project
- or get_secret_str("VERTEXAI_PROJECT")
- )
- vertex_ai_location = (
- optional_params.pop("vertex_location", None)
- or optional_params.pop("vertex_ai_location", None)
- or litellm.vertex_location
- or get_secret_str("VERTEXAI_LOCATION")
- )
- vertex_credentials = (
- optional_params.pop("vertex_credentials", None)
- 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,
- timeout=timeout,
- logging_obj=litellm_logging_obj,
- optional_params=optional_params,
- model_response=model_response,
- vertex_project=vertex_ai_project,
- 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
- ): # Assume custom LLM provider
- # Get the Custom Handler
- custom_handler: Optional[CustomLLM] = None
- for item in litellm.custom_provider_map:
- if item["provider"] == custom_llm_provider:
- custom_handler = item["custom_handler"]
-
- if custom_handler is None:
- raise LiteLLMUnknownProvider(
- model=model, custom_llm_provider=custom_llm_provider
- )
-
- ## ROUTE LLM CALL ##
- if aimg_generation is True:
- async_custom_client: Optional[AsyncHTTPHandler] = None
- if client is not None and isinstance(client, AsyncHTTPHandler):
- async_custom_client = client
-
- ## CALL FUNCTION
- model_response = custom_handler.aimage_generation( # type: ignore
- model=model,
- prompt=prompt,
- api_key=api_key,
- api_base=api_base,
- model_response=model_response,
- optional_params=optional_params,
- logging_obj=litellm_logging_obj,
- timeout=timeout,
- client=async_custom_client,
- )
- else:
- custom_client: Optional[HTTPHandler] = None
- if client is not None and isinstance(client, HTTPHandler):
- custom_client = client
-
- ## CALL FUNCTION
- model_response = custom_handler.image_generation(
- model=model,
- prompt=prompt,
- api_key=api_key,
- api_base=api_base,
- model_response=model_response,
- optional_params=optional_params,
- logging_obj=litellm_logging_obj,
- timeout=timeout,
- client=custom_client,
- )
-
- return model_response
- except Exception as e:
- ## Map to OpenAI Exception
- raise exception_type(
- model=model,
- custom_llm_provider=custom_llm_provider,
- original_exception=e,
- completion_kwargs=locals(),
- extra_kwargs=kwargs,
- )
-
-
-@client
-async def aimage_variation(*args, **kwargs) -> ImageResponse:
- """
- Asynchronously calls the `image_variation` function with the given arguments and keyword arguments.
-
- Parameters:
- - `args` (tuple): Positional arguments to be passed to the `image_variation` function.
- - `kwargs` (dict): Keyword arguments to be passed to the `image_variation` function.
-
- Returns:
- - `response` (Any): The response returned by the `image_variation` function.
- """
- loop = asyncio.get_event_loop()
- model = kwargs.get("model", None)
- custom_llm_provider = kwargs.get("custom_llm_provider", None)
- ### PASS ARGS TO Image Generation ###
- kwargs["async_call"] = True
- try:
- # Use a partial function to pass your keyword arguments
- func = partial(image_variation, *args, **kwargs)
-
- # Add the context to the function
- ctx = contextvars.copy_context()
- func_with_context = partial(ctx.run, func)
-
- if custom_llm_provider is None and model is not None:
- _, custom_llm_provider, _, _ = get_llm_provider(
- model=model, api_base=kwargs.get("api_base", None)
- )
-
- # Await normally
- init_response = await loop.run_in_executor(None, func_with_context)
- if isinstance(init_response, dict) or isinstance(
- init_response, ImageResponse
- ): ## CACHING SCENARIO
- if isinstance(init_response, dict):
- init_response = ImageResponse(**init_response)
- response = init_response
- elif asyncio.iscoroutine(init_response):
- response = await init_response # type: ignore
- else:
- # Call the synchronous function using run_in_executor
- response = await loop.run_in_executor(None, func_with_context)
- return response
- except Exception as e:
- custom_llm_provider = custom_llm_provider or "openai"
- raise exception_type(
- model=model,
- custom_llm_provider=custom_llm_provider,
- original_exception=e,
- completion_kwargs=args,
- extra_kwargs=kwargs,
- )
-
-
-@client
-def image_variation(
- image: FileTypes,
- model: str = "dall-e-2", # set to dall-e-2 by default - like OpenAI.
- n: int = 1,
- response_format: Literal["url", "b64_json"] = "url",
- size: Optional[str] = None,
- user: Optional[str] = None,
- **kwargs,
-) -> ImageResponse:
- # get non-default params
- client = kwargs.get("client", None)
- # get logging object
- litellm_logging_obj = cast(LiteLLMLoggingObj, kwargs.get("litellm_logging_obj"))
-
- # get the litellm params
- litellm_params = get_litellm_params(**kwargs)
- # get the custom llm provider
- model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
- model=model,
- custom_llm_provider=litellm_params.get("custom_llm_provider", None),
- api_base=litellm_params.get("api_base", None),
- api_key=litellm_params.get("api_key", None),
- )
-
- # route to the correct provider w/ the params
- try:
- llm_provider = LlmProviders(custom_llm_provider)
- image_variation_provider = LITELLM_IMAGE_VARIATION_PROVIDERS(llm_provider)
- except ValueError:
- raise ValueError(
- f"Invalid image variation provider: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
- )
- model_response = ImageResponse()
-
- response: Optional[ImageResponse] = None
-
- provider_config = ProviderConfigManager.get_provider_model_info(
- model=model or "", # openai defaults to dall-e-2
- provider=llm_provider,
- )
-
- if provider_config is None:
- raise ValueError(
- f"image variation provider has no known model info config - required for getting api keys, etc.: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
- )
-
- api_key = provider_config.get_api_key(litellm_params.get("api_key", None))
- api_base = provider_config.get_api_base(litellm_params.get("api_base", None))
-
- if image_variation_provider == LITELLM_IMAGE_VARIATION_PROVIDERS.OPENAI:
- if api_key is None:
- raise ValueError("API key is required for OpenAI image variations")
- if api_base is None:
- raise ValueError("API base is required for OpenAI image variations")
-
- response = openai_image_variations.image_variations(
- model_response=model_response,
- api_key=api_key,
- api_base=api_base,
- model=model,
- image=image,
- timeout=litellm_params.get("timeout", None),
- custom_llm_provider=custom_llm_provider,
- logging_obj=litellm_logging_obj,
- optional_params={},
- litellm_params=litellm_params,
- )
- elif image_variation_provider == LITELLM_IMAGE_VARIATION_PROVIDERS.TOPAZ:
- if api_key is None:
- raise ValueError("API key is required for Topaz image variations")
- if api_base is None:
- raise ValueError("API base is required for Topaz image variations")
-
- response = base_llm_aiohttp_handler.image_variations(
- model_response=model_response,
- api_key=api_key,
- api_base=api_base,
- model=model,
- image=image,
- timeout=litellm_params.get("timeout", None),
- custom_llm_provider=custom_llm_provider,
- logging_obj=litellm_logging_obj,
- optional_params={},
- litellm_params=litellm_params,
- client=client,
- )
-
- # return the response
- if response is None:
- raise ValueError(
- f"Invalid image variation provider: {custom_llm_provider}. Supported providers are: {LITELLM_IMAGE_VARIATION_PROVIDERS}"
- )
- return response
-
-
##### Transcription #######################
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 649eda96e9..0b67961974 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -3117,6 +3117,18 @@
"supports_function_calling": true,
"source": "https://azuremarketplace.microsoft.com/en/marketplace/apps/000-000.mistral-nemo-12b-2407?tab=PlansAndPrice"
},
+ "azure_ai/mistral-medium-2505": {
+ "max_tokens": 8191,
+ "max_input_tokens": 131072,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.0000004,
+ "output_cost_per_token": 0.000002,
+ "litellm_provider": "azure_ai",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_assistant_prefill": true,
+ "supports_tool_choice": true
+ },
"azure_ai/mistral-large": {
"max_tokens": 8191,
"max_input_tokens": 32000,
@@ -3803,6 +3815,19 @@
"supports_assistant_prefill": true,
"supports_tool_choice": true
},
+ "mistral/devstral-small-2505": {
+ "max_tokens": 128000,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 128000,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.0000003,
+ "litellm_provider": "mistral",
+ "mode": "chat",
+ "source": "https://mistral.ai/news/devstral",
+ "supports_function_calling": true,
+ "supports_assistant_prefill": true,
+ "supports_tool_choice": true
+ },
"mistral/mistral-embed": {
"max_tokens": 8192,
"max_input_tokens": 8192,
@@ -3936,6 +3961,19 @@
"supports_vision": true,
"supports_tool_choice": true
},
+ "xai/grok-3": {
+ "max_tokens": 131072,
+ "max_input_tokens": 131072,
+ "max_output_tokens": 131072,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000015,
+ "litellm_provider": "xai",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_tool_choice": true,
+ "supports_response_schema": false,
+ "source": "https://x.ai/api#pricing"
+ },
"xai/grok-3-beta": {
"max_tokens": 131072,
"max_input_tokens": 131072,
@@ -4354,7 +4392,7 @@
"supports_function_calling": true,
"supports_response_schema": true,
"supports_tool_choice": true,
- "deprecation_date": "2025-1-6"
+ "deprecation_date": "2025-01-06"
},
"groq/llama3-groq-8b-8192-tool-use-preview": {
"max_tokens": 8192,
@@ -4367,7 +4405,7 @@
"supports_function_calling": true,
"supports_response_schema": true,
"supports_tool_choice": true,
- "deprecation_date": "2025-1-6"
+ "deprecation_date": "2025-01-06"
},
"groq/qwen-qwq-32b": {
"max_tokens": 128000,
@@ -4625,6 +4663,7 @@
"supports_tool_choice": true
},
"claude-3-5-sonnet-latest": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -4670,7 +4709,60 @@
"deprecation_date": "2025-06-01",
"supports_tool_choice": true
},
+ "claude-opus-4-20250514": {
+ "max_tokens": 32000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 32000,
+ "input_cost_per_token": 15e-6,
+ "output_cost_per_token": 75e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 18.75e-6,
+ "cache_read_input_token_cost": 1.5e-6,
+ "litellm_provider": "anthropic",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
+ "claude-sonnet-4-20250514": {
+ "max_tokens": 64000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 64000,
+ "input_cost_per_token": 3e-6,
+ "output_cost_per_token": 15e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 3.75e-6,
+ "cache_read_input_token_cost": 0.3e-6,
+ "litellm_provider": "anthropic",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
"claude-3-7-sonnet-latest": {
+ "supports_computer_use": true,
"max_tokens": 128000,
"max_input_tokens": 200000,
"max_output_tokens": 128000,
@@ -4697,6 +4789,7 @@
"supports_reasoning": true
},
"claude-3-7-sonnet-20250219": {
+ "supports_computer_use": true,
"max_tokens": 128000,
"max_input_tokens": 200000,
"max_output_tokens": 128000,
@@ -4724,6 +4817,7 @@
"supports_web_search": true
},
"claude-3-5-sonnet-20241022": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -5866,6 +5960,66 @@
"supported_output_modalities": ["text"],
"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
},
+ "gemini/gemini-2.5-flash-preview-tts": {
+ "max_tokens": 65535,
+ "max_input_tokens": 1048576,
+ "max_output_tokens": 65535,
+ "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": 30,
+ "input_cost_per_audio_token": 1e-6,
+ "input_cost_per_token": 0.15e-6,
+ "output_cost_per_token": 0.6e-6,
+ "output_cost_per_reasoning_token": 3.5e-6,
+ "litellm_provider": "gemini",
+ "mode": "chat",
+ "rpm": 10,
+ "tpm": 250000,
+ "supports_system_messages": true,
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "supports_reasoning": true,
+ "supports_response_schema": true,
+ "supports_audio_output": false,
+ "supports_tool_choice": true,
+ "supported_endpoints": ["/v1/chat/completions", "/v1/completions"],
+ "supported_modalities": ["text"],
+ "supported_output_modalities": ["audio"],
+ "source": "https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview"
+ },
+ "gemini/gemini-2.5-flash-preview-05-20": {
+ "max_tokens": 65535,
+ "max_input_tokens": 1048576,
+ "max_output_tokens": 65535,
+ "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": 30,
+ "input_cost_per_audio_token": 1e-6,
+ "input_cost_per_token": 0.15e-6,
+ "output_cost_per_token": 0.6e-6,
+ "output_cost_per_reasoning_token": 3.5e-6,
+ "litellm_provider": "gemini",
+ "mode": "chat",
+ "rpm": 10,
+ "tpm": 250000,
+ "supports_system_messages": true,
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "supports_reasoning": true,
+ "supports_response_schema": true,
+ "supports_audio_output": false,
+ "supports_tool_choice": true,
+ "supported_endpoints": ["/v1/chat/completions", "/v1/completions"],
+ "supported_modalities": ["text", "image", "audio", "video"],
+ "supported_output_modalities": ["text"],
+ "source": "https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview"
+ },
"gemini/gemini-2.5-flash-preview-04-17": {
"max_tokens": 65535,
"max_input_tokens": 1048576,
@@ -5896,6 +6050,34 @@
"supported_output_modalities": ["text"],
"source": "https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview"
},
+ "gemini-2.5-flash-preview-05-20": {
+ "max_tokens": 65535,
+ "max_input_tokens": 1048576,
+ "max_output_tokens": 65535,
+ "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": 30,
+ "input_cost_per_audio_token": 1e-6,
+ "input_cost_per_token": 0.15e-6,
+ "output_cost_per_token": 0.6e-6,
+ "output_cost_per_reasoning_token": 3.5e-6,
+ "litellm_provider": "vertex_ai-language-models",
+ "mode": "chat",
+ "supports_reasoning": true,
+ "supports_system_messages": true,
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "supports_response_schema": true,
+ "supports_audio_output": false,
+ "supports_tool_choice": true,
+ "supported_endpoints": ["/v1/chat/completions", "/v1/completions", "/v1/batch"],
+ "supported_modalities": ["text", "image", "audio", "video"],
+ "supported_output_modalities": ["text"],
+ "source": "https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview"
+ },
"gemini-2.5-flash-preview-04-17": {
"max_tokens": 65535,
"max_input_tokens": 1048576,
@@ -6057,6 +6239,59 @@
"supported_output_modalities": ["text"],
"source": "https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-preview"
},
+ "gemini-2.0-flash-preview-image-generation": {
+ "max_tokens": 8192,
+ "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": 30,
+ "input_cost_per_audio_token": 0.0000007,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.0000004,
+ "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,
+ "supports_audio_input": true,
+ "supported_modalities": ["text", "image", "audio", "video"],
+ "supported_output_modalities": ["text", "image"],
+ "supports_tool_choice": true,
+ "source": "https://ai.google.dev/pricing#2_0flash"
+ },
+ "gemini-2.5-pro-preview-tts": {
+ "max_tokens": 65535,
+ "max_input_tokens": 1048576,
+ "max_output_tokens": 65535,
+ "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": 30,
+ "input_cost_per_audio_token": 0.0000007,
+ "input_cost_per_token": 0.00000125,
+ "input_cost_per_token_above_200k_tokens": 0.0000025,
+ "output_cost_per_token": 0.00001,
+ "output_cost_per_token_above_200k_tokens": 0.000015,
+ "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": false,
+ "supports_tool_choice": true,
+ "supported_modalities": ["text"],
+ "supported_output_modalities": ["audio"],
+ "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-pro-preview"
+ },
"gemini/gemini-2.0-pro-exp-02-05": {
"max_tokens": 8192,
"max_input_tokens": 2097152,
@@ -6095,6 +6330,34 @@
"supports_tool_choice": true,
"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
},
+ "gemini/gemini-2.0-flash-preview-image-generation": {
+ "max_tokens": 8192,
+ "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": 30,
+ "input_cost_per_audio_token": 0.0000007,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.0000004,
+ "litellm_provider": "gemini",
+ "mode": "chat",
+ "rpm": 10000,
+ "tpm": 10000000,
+ "supports_system_messages": true,
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "supports_response_schema": true,
+ "supports_audio_output": true,
+ "supports_audio_input": true,
+ "supported_modalities": ["text", "image", "audio", "video"],
+ "supported_output_modalities": ["text", "image"],
+ "supports_tool_choice": true,
+ "source": "https://ai.google.dev/pricing#2_0flash"
+ },
"gemini/gemini-2.0-flash": {
"max_tokens": 8192,
"max_input_tokens": 1048576,
@@ -6176,6 +6439,35 @@
"supported_output_modalities": ["text", "image"],
"source": "https://ai.google.dev/pricing#2_0flash"
},
+ "gemini/gemini-2.5-pro-preview-tts": {
+ "max_tokens": 65535,
+ "max_input_tokens": 1048576,
+ "max_output_tokens": 65535,
+ "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": 30,
+ "input_cost_per_audio_token": 0.0000007,
+ "input_cost_per_token": 0.00000125,
+ "input_cost_per_token_above_200k_tokens": 0.0000025,
+ "output_cost_per_token": 0.00001,
+ "output_cost_per_token_above_200k_tokens": 0.000015,
+ "litellm_provider": "gemini",
+ "mode": "chat",
+ "rpm": 10000,
+ "tpm": 10000000,
+ "supports_system_messages": true,
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "supports_response_schema": true,
+ "supports_audio_output": false,
+ "supports_tool_choice": true,
+ "supported_modalities": ["text"],
+ "supported_output_modalities": ["audio"],
+ "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-pro-preview"
+ },
"gemini/gemini-2.5-pro-preview-05-06": {
"max_tokens": 65535,
"max_input_tokens": 1048576,
@@ -6458,6 +6750,7 @@
"supports_tool_choice": true
},
"vertex_ai/claude-3-5-sonnet": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -6486,6 +6779,7 @@
"supports_tool_choice": true
},
"vertex_ai/claude-3-5-sonnet-v2": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -6500,6 +6794,7 @@
"supports_tool_choice": true
},
"vertex_ai/claude-3-5-sonnet-v2@20241022": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -6514,6 +6809,7 @@
"supports_tool_choice": true
},
"vertex_ai/claude-3-7-sonnet@20250219": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -6534,6 +6830,58 @@
"supports_reasoning": true,
"supports_tool_choice": true
},
+ "vertex_ai/claude-opus-4@20250514": {
+ "max_tokens": 32000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 32000,
+ "input_cost_per_token": 15e-6,
+ "output_cost_per_token": 75e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 18.75e-6,
+ "cache_read_input_token_cost": 1.5e-6,
+ "litellm_provider": "vertex_ai-anthropic_models",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
+ "vertex_ai/claude-sonnet-4@20250514": {
+ "max_tokens": 64000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 64000,
+ "input_cost_per_token": 3e-6,
+ "output_cost_per_token": 15e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 3.75e-6,
+ "cache_read_input_token_cost": 0.3e-6,
+ "litellm_provider": "vertex_ai-anthropic_models",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
"vertex_ai/claude-3-haiku": {
"max_tokens": 4096,
"max_input_tokens": 200000,
@@ -8055,6 +8403,7 @@
"supports_tool_choice": true
},
"openrouter/anthropic/claude-3.5-sonnet": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -8069,6 +8418,7 @@
"supports_tool_choice": true
},
"openrouter/anthropic/claude-3.5-sonnet:beta": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -8082,6 +8432,7 @@
"supports_tool_choice": true
},
"openrouter/anthropic/claude-3.7-sonnet": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -8098,6 +8449,7 @@
"supports_tool_choice": true
},
"openrouter/anthropic/claude-3.7-sonnet:beta": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9109,7 +9461,60 @@
"supports_pdf_input": true,
"supports_tool_choice": true
},
+ "anthropic.claude-opus-4-20250514-v1:0": {
+ "max_tokens": 32000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 32000,
+ "input_cost_per_token": 15e-6,
+ "output_cost_per_token": 75e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 18.75e-6,
+ "cache_read_input_token_cost": 1.5e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
+ "anthropic.claude-sonnet-4-20250514-v1:0": {
+ "max_tokens": 64000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 64000,
+ "input_cost_per_token": 3e-6,
+ "output_cost_per_token": 15e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 3.75e-6,
+ "cache_read_input_token_cost": 0.3e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
"anthropic.claude-3-7-sonnet-20250219-v1:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9129,6 +9534,7 @@
"supports_tool_choice": true
},
"anthropic.claude-3-5-sonnet-20241022-v2:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9219,6 +9625,7 @@
"supports_tool_choice": true
},
"us.anthropic.claude-3-5-sonnet-20241022-v2:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9237,6 +9644,7 @@
"supports_tool_choice": true
},
"us.anthropic.claude-3-7-sonnet-20250219-v1:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9255,6 +9663,58 @@
"supports_tool_choice": true,
"supports_reasoning": true
},
+ "us.anthropic.claude-opus-4-20250514-v1:0": {
+ "max_tokens": 32000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 32000,
+ "input_cost_per_token": 15e-6,
+ "output_cost_per_token": 75e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 18.75e-6,
+ "cache_read_input_token_cost": 1.5e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
+ "us.anthropic.claude-sonnet-4-20250514-v1:0": {
+ "max_tokens": 64000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 64000,
+ "input_cost_per_token": 3e-6,
+ "output_cost_per_token": 15e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 3.75e-6,
+ "cache_read_input_token_cost": 0.3e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
"us.anthropic.claude-3-haiku-20240307-v1:0": {
"max_tokens": 4096,
"max_input_tokens": 200000,
@@ -9328,6 +9788,7 @@
"supports_tool_choice": true
},
"eu.anthropic.claude-3-5-sonnet-20241022-v2:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9344,6 +9805,7 @@
"supports_tool_choice": true
},
"eu.anthropic.claude-3-7-sonnet-20250219-v1:0": {
+ "supports_computer_use": true,
"max_tokens": 8192,
"max_input_tokens": 200000,
"max_output_tokens": 8192,
@@ -9374,6 +9836,58 @@
"supports_pdf_input": true,
"supports_tool_choice": true
},
+ "eu.anthropic.claude-opus-4-20250514-v1:0": {
+ "max_tokens": 32000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 32000,
+ "input_cost_per_token": 15e-6,
+ "output_cost_per_token": 75e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 18.75e-6,
+ "cache_read_input_token_cost": 1.5e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
+ "eu.anthropic.claude-sonnet-4-20250514-v1:0": {
+ "max_tokens": 64000,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 64000,
+ "input_cost_per_token": 3e-6,
+ "output_cost_per_token": 15e-6,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 1e-2,
+ "search_context_size_medium": 1e-2,
+ "search_context_size_high": 1e-2
+ },
+ "cache_creation_input_token_cost": 3.75e-6,
+ "cache_read_input_token_cost": 0.3e-6,
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "supports_function_calling": true,
+ "supports_vision": true,
+ "tool_use_system_prompt_tokens": 159,
+ "supports_assistant_prefill": true,
+ "supports_pdf_input": true,
+ "supports_prompt_caching": true,
+ "supports_response_schema": true,
+ "supports_tool_choice": true,
+ "supports_reasoning": true,
+ "supports_computer_use": true
+ },
"eu.anthropic.claude-3-5-haiku-20241022-v1:0": {
"max_tokens": 8192,
"max_input_tokens": 200000,
@@ -12068,7 +12582,7 @@
"max_output_tokens": 128000,
"input_cost_per_token": 0.0000025,
"input_dbu_cost_per_token": 0.00003571,
- "output_cost_per_token": 0.00017857,
+ "output_cost_per_token": 0.000017857,
"output_db_cost_per_token": 0.000214286,
"litellm_provider": "databricks",
"mode": "chat",
@@ -12121,6 +12635,20 @@
"metadata": {"notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."},
"supports_tool_choice": true
},
+ "databricks/databricks-llama-4-maverick": {
+ "max_tokens": 128000,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 128000,
+ "input_cost_per_token": 0.000005,
+ "input_dbu_cost_per_token": 0.00007143,
+ "output_cost_per_token": 0.000015,
+ "output_dbu_cost_per_token": 0.00021429,
+ "litellm_provider": "databricks",
+ "mode": "chat",
+ "source": "https://www.databricks.com/product/pricing/foundation-model-serving",
+ "metadata": {"notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)."},
+ "supports_tool_choice": true
+ },
"databricks/databricks-dbrx-instruct": {
"max_tokens": 32768,
"max_input_tokens": 32768,
@@ -12434,6 +12962,7 @@
"mode": "chat"
},
"snowflake/claude-3-5-sonnet": {
+ "supports_computer_use": true,
"max_tokens": 18000,
"max_input_tokens": 18000,
"max_output_tokens": 8192,
@@ -12731,5 +13260,19 @@
"/v1/images/generations"
],
"source": "https://docs.nscale.com/docs/inference/serverless-models/current#image-models"
+ },
+ "featherless_ai/featherless-ai/Qwerky-72B": {
+ "max_tokens": 32768,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "litellm_provider": "featherless_ai",
+ "mode": "chat"
+ },
+ "featherless_ai/featherless-ai/Qwerky-QwQ-32B": {
+ "max_tokens": 32768,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "litellm_provider": "featherless_ai",
+ "mode": "chat"
}
}
diff --git a/litellm/proxy/_experimental/out/_next/static/zGtpf6gsLk3yIgGiM71ql/_buildManifest.js b/litellm/proxy/_experimental/out/_next/static/AUMac1vqK9A5ZBV8VXWZ7/_buildManifest.js
similarity index 100%
rename from litellm/proxy/_experimental/out/_next/static/zGtpf6gsLk3yIgGiM71ql/_buildManifest.js
rename to litellm/proxy/_experimental/out/_next/static/AUMac1vqK9A5ZBV8VXWZ7/_buildManifest.js
diff --git a/litellm/proxy/_experimental/out/_next/static/zGtpf6gsLk3yIgGiM71ql/_ssgManifest.js b/litellm/proxy/_experimental/out/_next/static/AUMac1vqK9A5ZBV8VXWZ7/_ssgManifest.js
similarity index 100%
rename from litellm/proxy/_experimental/out/_next/static/zGtpf6gsLk3yIgGiM71ql/_ssgManifest.js
rename to litellm/proxy/_experimental/out/_next/static/AUMac1vqK9A5ZBV8VXWZ7/_ssgManifest.js
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/250-45f35de8b3449336.js b/litellm/proxy/_experimental/out/_next/static/chunks/250-45f35de8b3449336.js
deleted file mode 100644
index 213ed072eb..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/250-45f35de8b3449336.js
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new file mode 100644
index 0000000000..79b70c357c
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/250-b34a5fd44bf9b45f.js
@@ -0,0 +1 @@
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deleted file mode 100644
index d9bd0f1f47..0000000000
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+++ /dev/null
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