BerriAI/litellm · error · HTTPException

vector_store_id and custom_llm_provider are required

Error message

vector_store_id and custom_llm_provider are required

What it means

Argument guard in the vector store creation endpoint: vector_store_id and/or custom_llm_provider was not supplied (None), but both are needed to register the store and route it to a provider.

Source

Thrown at litellm/proxy/vector_store_endpoints/management_endpoints.py:538

    Create a new vector store.

    Parameters:
    - vector_store_id: str - Unique identifier for the vector store
    - custom_llm_provider: str - Provider of the vector store
    - vector_store_name: Optional[str] - Name of the vector store
    - vector_store_description: Optional[str] - Description of the vector store
    - vector_store_metadata: Optional[Dict] - Additional metadata for the vector store
    """
    await check_feature_access_for_user(user_api_key_dict, "vector_stores")

    from litellm.proxy.proxy_server import prisma_client

    try:
        vector_store_id: Final = vector_store.get("vector_store_id")
        custom_llm_provider: Final = vector_store.get("custom_llm_provider")

        if not vector_store_id or not custom_llm_provider:
            raise HTTPException(
                status_code=400,
                detail="vector_store_id and custom_llm_provider are required",
            )

        # Extract and validate metadata
        metadata: Final = vector_store.get("vector_store_metadata")
        validated_metadata: dict | None = None
        if metadata is not None and isinstance(metadata, dict):
            validated_metadata = metadata

        new_vector_store: Final = await create_vector_store_in_db(
            vector_store_id=vector_store_id,
            custom_llm_provider=custom_llm_provider,
            prisma_client=prisma_client,
            vector_store_name=vector_store.get("vector_store_name"),
            vector_store_description=vector_store.get("vector_store_description"),
            vector_store_metadata=validated_metadata,
            litellm_params=vector_store.get("litellm_params"),

View on GitHub (pinned to 77b7c6c40c)

Solutions

1. Include both vector_store_id and custom_llm_provider in the request.

When it happens

Trigger: Thrown at litellm/proxy/vector_store_endpoints/management_endpoints.py:538 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of BerriAI/litellm@77b7c6c40c (2026-08-18). Data as JSON: /api/errors/ac2b6e33219b3f6b. Report an issue: GitHub.