docs: document milvus endpoints

litellm/llms/milvus/vector_stores/transformation.py

@@ -7,8 +7,10 @@ from litellm.llms.base_llm.vector_store.transformation import BaseVectorStoreCon
 from litellm.secret_managers.main import get_secret_str
 from litellm.types.router import GenericLiteLLMParams
 from litellm.types.vector_stores import (
+    BaseVectorStoreAuthCredentials,
     VectorStoreCreateOptionalRequestParams,
     VectorStoreCreateResponse,
+    VectorStoreIndexEndpoints,
     VectorStoreResultContent,
     VectorStoreSearchOptionalRequestParams,
     VectorStoreSearchResponse,
@@ -63,6 +65,33 @@ class MilvusVectorStoreConfig(BaseVectorStoreConfig):
 
         return headers
 
+    def get_auth_credentials(
+        self, litellm_params: dict
+    ) -> BaseVectorStoreAuthCredentials:
+        api_key = litellm_params.get("api_key")
+        if not api_key:
+            raise ValueError(
+                "MILVUS_API_KEY is not set. Either set it in the litellm_params or set the MILVUS_API_KEY environment variable."
+            )
+        return {
+            "headers": {
+                "Authorization": f"Bearer {api_key}",
+            },
+        }
+
+    def get_vector_store_endpoints_by_type(self) -> VectorStoreIndexEndpoints:
+        return {
+            "read": [
+                ("POST", "/v2/vectordb/entities/search"),
+                ("POST", "/v2/vectordb/entities/get"),
+                ("POST", "/v2/vectordb/entities/query"),
+            ],
+            "write": [
+                ("POST", "/v2/vectordb/entities/upsert"),
+                ("POST", "/v2/vectordb/entities/insert"),
+            ],
+        }
+
     def map_openai_params(
         self, non_default_params: dict, optional_params: dict, drop_params: bool
     ) -> dict:

litellm/proxy/_new_secret_config.yaml

@@ -6,11 +6,19 @@ model_list:
     litellm_params:
       model: openai/text-embedding-3-large
 
-general_settings:
-  master_key: sk-1234
-  pass_through_endpoints:
-    - path: "/v1/my-custom-path"                                  # Route on LiteLLM Proxy
-      target: "http://0.0.0.0:8089/v1/my-custom-path"          # Target endpoint
-      headers:                                            # Headers to forward
-        Authorization: "bearer sk-1234"
-      forward_headers: true                               # Forward all incoming headers
+vector_store_registry:
+  - vector_store_name: "milvus-knowledgebase"
+    litellm_params:
+        vector_store_id: "my-collection-name"
+        custom_llm_provider: "milvus"
+        api_key: os.environ/MILVUS_API_KEY
+        api_base: https://your-milvus-instance.milvus.io
+        litellm_embedding_model: "azure/text-embedding-3-large"
+        litellm_embedding_config:
+            api_base: https://your-endpoint.cognitiveservices.azure.com/
+            api_key: os.environ/AZURE_API_KEY
+            api_version: "2025-09-01"
+        milvus_text_field: "book_intro"
+        # Optional Milvus parameters
+        annsField: "book_intro_vector"
+        limit: 10