BerriAI/litellm · error · Exception

LiteLLM Managed File object with id=

Error message

LiteLLM Managed File object with id={file_id} has no file_object and llm_router is required to fetch from provider

What it means

Case 3 of afile_retrieve: the unified id resolves (model_mappings exist in the DB) but stored_file_object is None because the background job that persists the provider's file object after upload has not completed, and the caller did not pass llm_router to fetch it live from the provider. This is an eventual-consistency window built into managed files.

Solutions

1. Retry after a short delay — the job normally lands file_object within seconds
2. Pass llm_router=proxy_server.llm_router when calling afile_retrieve programmatically so Case 3 can fall back to the provider
3. Inspect managed-files background job logs for DB write errors
4. If the state persists, re-upload the file to regenerate mapping and stored object

Example fix

# before
resp = await managed_files_obj.afile_retrieve(file_id, span)  # no router

# after
from litellm.proxy import proxy_server
resp = await managed_files_obj.afile_retrieve(
    file_id, span, llm_router=proxy_server.llm_router
)

import asyncio

for attempt in range(5):
    try:
        f = await proxy.files.retrieve(file_id)
        break
    except Exception as e:
        if "has no file_object" in str(e) and attempt < 4:
            await asyncio.sleep(2 ** attempt)
            continue
        raise

When it happens

Trigger: GET /v1/files/{id} within seconds of upload, racing the batch job that stores file_object; or that job failed/was delayed; or an internal caller invoked afile_retrieve without the llm_router argument (the parameter is Optional).

Common situations: Tight poll loops immediately after create; persistence worker backlog or DB write failures hidden in worker logs; unit tests exercising the hook with llm_router omitted.

Related errors

• Cannot delete file . The file is referenced by batch(es) in…
• Failed to retrieve file
• LiteLLM Managed File object with id=
• LiteLLM Managed File object with id=
• LLM Router not initialized. Ensure models added to proxy.

AI-assisted analysis of BerriAI/litellm@77b7c6c40c (2026-08-18). Data as JSON: /api/errors/4e551ba1408e95a9. Report an issue: GitHub.

Appendix: source

Thrown at enterprise/litellm_enterprise/proxy/hooks/managed_files.py:1352

    ) -> OpenAIFileObject:
        stored_file_object = await self.get_unified_file_id(file_id, litellm_parent_otel_span)

        # Case 1 : This is not a managed file
        if not stored_file_object:
            raise Exception(f"LiteLLM Managed File object with id={file_id} not found")

        # Case 2: Managed file and the file object exists in the database
        # The stored file_object has the raw provider ID. Replace with the unified ID
        # so callers see a consistent ID (matching Case 3 which does response.id = file_id).
        if stored_file_object and stored_file_object.file_object:
            # Use model_copy to ensure the ID update persists (Pydantic v2 compatibility)
            response = stored_file_object.file_object.model_copy(update={"id": file_id})
            return response

        # Case 3: Managed file exists in the database but not the file object (for. e.g the batch task might not have run)
        # So we fetch the file object from the provider. We deliberately do not store the result to avoid interfering with batch cost tracking code.
        if not llm_router:
            raise Exception(
                f"LiteLLM Managed File object with id={file_id} has no file_object "
                f"and llm_router is required to fetch from provider"
            )

        try:
            model_id, model_file_id = next(iter(stored_file_object.model_mappings.items()))
            credentials = llm_router.get_deployment_credentials_with_provider(model_id) or {}
            response = await litellm.afile_retrieve(file_id=model_file_id, **credentials)
            response.id = file_id  # Replace with unified ID
            return response
        except Exception as e:
            raise Exception(f"Failed to retrieve file {file_id} from provider: {str(e)}") from e

    async def afile_list(
        self,
        purpose: Optional[OpenAIFilesPurpose],
        litellm_parent_otel_span: Optional[Span],
        **data: Dict,

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