{"record":{"id":"4e551ba1408e95a9","repo":"BerriAI/litellm","slug":"litellm-managed-file-object-with-id-file-id-has","errorCode":null,"errorMessage":"LiteLLM Managed File object with id={file_id} has no file_object and llm_router is required to fetch from provider","messagePattern":"LiteLLM Managed File object with id=(.+?) has no file_object and llm_router is required to fetch from provider","errorType":"exception","errorClass":"Exception","httpStatus":null,"severity":"error","filePath":"enterprise/litellm_enterprise/proxy/hooks/managed_files.py","lineNumber":1331,"sourceCode":"    ) -> OpenAIFileObject:\n        stored_file_object = await self.get_unified_file_id(file_id, litellm_parent_otel_span)\n\n        # Case 1 : This is not a managed file\n        if not stored_file_object:\n            raise Exception(f\"LiteLLM Managed File object with id={file_id} not found\")\n\n        # Case 2: Managed file and the file object exists in the database\n        # The stored file_object has the raw provider ID. Replace with the unified ID\n        # so callers see a consistent ID (matching Case 3 which does response.id = file_id).\n        if stored_file_object and stored_file_object.file_object:\n            # Use model_copy to ensure the ID update persists (Pydantic v2 compatibility)\n            response = stored_file_object.file_object.model_copy(update={\"id\": file_id})\n            return response\n\n        # Case 3: Managed file exists in the database but not the file object (for. e.g the batch task might not have run)\n        # So we fetch the file object from the provider. We deliberately do not store the result to avoid interfering with batch cost tracking code.\n        if not llm_router:\n            raise Exception(\n                f\"LiteLLM Managed File object with id={file_id} has no file_object \"\n                f\"and llm_router is required to fetch from provider\"\n            )\n\n        try:\n            model_id, model_file_id = next(iter(stored_file_object.model_mappings.items()))\n            credentials = llm_router.get_deployment_credentials_with_provider(model_id) or {}\n            response = await litellm.afile_retrieve(file_id=model_file_id, **credentials)\n            response.id = file_id  # Replace with unified ID\n            return response\n        except Exception as e:\n            raise Exception(f\"Failed to retrieve file {file_id} from provider: {str(e)}\") from e\n\n    async def afile_list(\n        self,\n        purpose: Optional[OpenAIFilesPurpose],\n        litellm_parent_otel_span: Optional[Span],\n        **data: Dict,","sourceCodeStart":1313,"sourceCodeEnd":1349,"githubUrl":"https://github.com/BerriAI/litellm/blob/6c2dcb801bf2b75c18f1bb24140e7cf57465cc4d/enterprise/litellm_enterprise/proxy/hooks/managed_files.py#L1313-L1349","documentation":"Case 3 of afile_retrieve: the managed-file row exists but its stored file_object is empty (e.g. the batch background task hasn't persisted the object yet), so the code must fetch it live from the provider via llm_router. If the caller passed llm_router=None, it cannot fetch and raises this Exception. It is an internal wiring issue: the retrieval path was entered without the router needed for provider fallback.","triggerScenarios":"Calling afile_retrieve(file_id, span) with the default llm_router=None for a file whose batch task hasn't run/stored its file object; internal proxy code paths or tests that omit the router argument.","commonSituations":"Polling a managed output file immediately after batch creation, before the batch-polling job persisted the file object; unit tests calling the hook without a Router; refactors that dropped the router parameter.","solutions":["Pass the proxy's live llm_router when calling afile_retrieve so provider fallback works","Or wait/retry until the batch background task stores the file object (batch_processed) so Case 2 applies","In tests, provide a Router with a reachable deployment for the file's model_id"],"exampleFix":"# before\nresp = await hook.afile_retrieve(file_id, span)\n\n# after\nresp = await hook.afile_retrieve(file_id, span, llm_router=proxy_router)","handlingStrategy":"retry","validationCode":"row = await hook.get_unified_file_id(file_id, span)\nif row and not row.file_object and router is None:\n    # object not yet persisted; either wait or supply a router\n    raise ValueError(\"supply llm_router or wait for batch task to persist file object\")","typeGuard":null,"tryCatchPattern":"try:\n    resp = await hook.afile_retrieve(file_id, span)\nexcept Exception as e:\n    if \"llm_router is required\" in str(e):\n        resp = await hook.afile_retrieve(file_id, span, llm_router=live_router)  # retry with router\n    else:\n        raise","preventionTips":["Always pass the live router to afile_retrieve in production paths","Poll batch completion before fetching output files","In tests, construct a Router with a reachable deployment"],"tags":["files","router","batch","managed-files"],"backgroundTag":null,"analyzedSha":"6c2dcb801bf2b75c18f1bb24140e7cf57465cc4d","analyzedAt":"2026-08-15T07:12:03.035Z","schemaVersion":2},"datasetVersion":"2026-08-15T22:17:37.221Z"}