{"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":1352,"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":1334,"sourceCodeEnd":1370,"githubUrl":"https://github.com/BerriAI/litellm/blob/77b7c6c40c0c5aa5fbcb1d6a1825ac39ca8829b8/enterprise/litellm_enterprise/proxy/hooks/managed_files.py#L1334-L1370","documentation":"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.","triggerScenarios":"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).","commonSituations":"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.","solutions":["Retry after a short delay — the job normally lands file_object within seconds","Pass llm_router=proxy_server.llm_router when calling afile_retrieve programmatically so Case 3 can fall back to the provider","Inspect managed-files background job logs for DB write errors","If the state persists, re-upload the file to regenerate mapping and stored object"],"exampleFix":"# before\nresp = await managed_files_obj.afile_retrieve(file_id, span)  # no router\n\n# after\nfrom litellm.proxy import proxy_server\nresp = await managed_files_obj.afile_retrieve(\n    file_id, span, llm_router=proxy_server.llm_router\n)","handlingStrategy":"retry","validationCode":null,"typeGuard":null,"tryCatchPattern":"import asyncio\n\nfor attempt in range(5):\n    try:\n        f = await proxy.files.retrieve(file_id)\n        break\n    except Exception as e:\n        if \"has no file_object\" in str(e) and attempt < 4:\n            await asyncio.sleep(2 ** attempt)\n            continue\n        raise","preventionTips":["Poll retrieve with exponential backoff for the first ~30s after upload","Internal callers: always pass llm_router so Case 3 can fall back to the provider","Monitor the managed-files persistence job so the window stays short"],"tags":["litellm","managed-files","race-condition","eventual-consistency"],"backgroundTag":"resource-not-ready","analyzedSha":"77b7c6c40c0c5aa5fbcb1d6a1825ac39ca8829b8","analyzedAt":"2026-08-18T11:44:31.656Z","contentChangedAt":null,"schemaVersion":2},"datasetVersion":"2026-09-23T08:17:48.524Z"}