mirror of
https://github.com/tiennm99/litellm.git
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faed9860c0
* fix: move enterprise routes to litellm_enterprise * refactor: move enterprise routes to litellm_enterprise * fix: litellm_enterprise routes * fix test litellm on github workflow
208 lines
6.9 KiB
Python
208 lines
6.9 KiB
Python
"""
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VECTOR STORE MANAGEMENT
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All /vector_store management endpoints
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/vector_store/new
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/vector_store/delete
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/vector_store/list
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"""
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import copy
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from typing import List
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from fastapi import APIRouter, Depends, HTTPException
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import litellm
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from litellm._logging import verbose_proxy_logger
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from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
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from litellm.types.vector_stores import (
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LiteLLM_ManagedVectorStore,
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LiteLLM_ManagedVectorStoreListResponse,
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VectorStoreDeleteRequest,
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)
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from litellm.vector_stores.vector_store_registry import VectorStoreRegistry
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router = APIRouter()
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@router.post(
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"/vector_store/new",
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tags=["vector store management"],
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dependencies=[Depends(user_api_key_auth)],
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)
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async def new_vector_store(
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vector_store: LiteLLM_ManagedVectorStore,
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user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
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):
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"""
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Create a new vector store.
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Parameters:
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- vector_store_id: str - Unique identifier for the vector store
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- custom_llm_provider: str - Provider of the vector store
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- vector_store_name: Optional[str] - Name of the vector store
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- vector_store_description: Optional[str] - Description of the vector store
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- vector_store_metadata: Optional[Dict] - Additional metadata for the vector store
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"""
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from litellm.proxy.proxy_server import prisma_client
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if prisma_client is None:
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raise HTTPException(status_code=500, detail="Database not connected")
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try:
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# Check if vector store already exists
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existing_vector_store = (
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await prisma_client.db.litellm_managedvectorstorestable.find_unique(
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where={"vector_store_id": vector_store.get("vector_store_id")}
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)
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)
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if existing_vector_store is not None:
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raise HTTPException(
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status_code=400,
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detail=f"Vector store with ID {vector_store.get('vector_store_id')} already exists",
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)
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if vector_store.get("vector_store_metadata") is not None:
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vector_store["vector_store_metadata"] = safe_dumps(
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vector_store.get("vector_store_metadata")
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)
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_new_vector_store = (
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await prisma_client.db.litellm_managedvectorstorestable.create(
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data=vector_store
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)
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)
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new_vector_store: LiteLLM_ManagedVectorStore = LiteLLM_ManagedVectorStore(
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**_new_vector_store.model_dump()
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)
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# Add vector store to registry
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if litellm.vector_store_registry is not None:
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litellm.vector_store_registry.add_vector_store_to_registry(
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vector_store=new_vector_store
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)
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return {
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"status": "success",
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"message": f"Vector store {vector_store.get('vector_store_id')} created successfully",
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"vector_store": new_vector_store,
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}
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except Exception as e:
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verbose_proxy_logger.exception(f"Error creating vector store: {str(e)}")
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raise HTTPException(status_code=500, detail=str(e))
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@router.get(
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"/vector_store/list",
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tags=["vector store management"],
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dependencies=[Depends(user_api_key_auth)],
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response_model=LiteLLM_ManagedVectorStoreListResponse,
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)
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async def list_vector_stores(
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user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
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page: int = 1,
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page_size: int = 100,
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):
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"""
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List all available vector stores with optional filtering and pagination.
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Combines both in-memory vector stores and those stored in the database.
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Parameters:
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- page: int - Page number for pagination (default: 1)
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- page_size: int - Number of items per page (default: 100)
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"""
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from litellm.proxy.proxy_server import prisma_client
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seen_vector_store_ids = set()
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try:
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# Get in-memory vector stores
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in_memory_vector_stores: List[LiteLLM_ManagedVectorStore] = []
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if litellm.vector_store_registry is not None:
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in_memory_vector_stores = copy.deepcopy(
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litellm.vector_store_registry.vector_stores
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)
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# Get vector stores from database
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vector_stores_from_db = await VectorStoreRegistry._get_vector_stores_from_db(
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prisma_client=prisma_client
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)
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# Combine in-memory and database vector stores
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combined_vector_stores: List[LiteLLM_ManagedVectorStore] = []
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for vector_store in in_memory_vector_stores + vector_stores_from_db:
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vector_store_id = vector_store.get("vector_store_id", None)
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if vector_store_id not in seen_vector_store_ids:
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combined_vector_stores.append(vector_store)
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seen_vector_store_ids.add(vector_store_id)
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total_count = len(combined_vector_stores)
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total_pages = (total_count + page_size - 1) // page_size
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# Format response using LiteLLM_ManagedVectorStoreListResponse
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response = LiteLLM_ManagedVectorStoreListResponse(
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object="list",
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data=combined_vector_stores,
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total_count=total_count,
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current_page=page,
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total_pages=total_pages,
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)
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return response
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except Exception as e:
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verbose_proxy_logger.exception(f"Error listing vector stores: {str(e)}")
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raise HTTPException(status_code=500, detail=str(e))
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@router.post(
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"/vector_store/delete",
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tags=["vector store management"],
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dependencies=[Depends(user_api_key_auth)],
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)
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async def delete_vector_store(
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data: VectorStoreDeleteRequest,
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user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
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):
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"""
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Delete a vector store.
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Parameters:
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- vector_store_id: str - ID of the vector store to delete
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"""
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from litellm.proxy.proxy_server import prisma_client
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if prisma_client is None:
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raise HTTPException(status_code=500, detail="Database not connected")
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try:
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# Check if vector store exists
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existing_vector_store = (
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await prisma_client.db.litellm_managedvectorstorestable.find_unique(
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where={"vector_store_id": data.vector_store_id}
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)
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)
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if existing_vector_store is None:
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raise HTTPException(
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status_code=404,
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detail=f"Vector store with ID {data.vector_store_id} not found",
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)
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# Delete vector store
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await prisma_client.db.litellm_managedvectorstorestable.delete(
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where={"vector_store_id": data.vector_store_id}
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)
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# Delete vector store from registry
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if litellm.vector_store_registry is not None:
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litellm.vector_store_registry.delete_vector_store_from_registry(
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vector_store_id=data.vector_store_id
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)
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return {"message": f"Vector store {data.vector_store_id} deleted successfully"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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