BerriAI/litellm · error · Exception

LiteLLM Managed File object with id={file_id} not found. Che

Error message

LiteLLM Managed File object with id={file_id} not found. Checked model id's: {specific_model_file_id_mapping.keys()}. Errors: {exception_dict}

What it means

afile_content iterates the managed file's model_mappings, calls llm_router.afile_content per model with server-side deployment credentials, and collects per-model failures into exception_dict. If every model fails (or all provider file ids are unusable), it raises Exception listing the unified id, the model ids checked, and each per-model error string — the inner messages are the real diagnosis.

Source

Thrown at enterprise/litellm_enterprise/proxy/hooks/managed_files.py:1583

        specific_model_file_id_mapping = model_file_id_mapping.get(file_id)

        if specific_model_file_id_mapping:
            exception_dict = {}
            for model_id, provider_file_id in specific_model_file_id_mapping.items():
                try:
                    # Cloud-storage providers (e.g. Bedrock S3) validate file ids
                    # against the deployment's configured bucket, which they only
                    # trust from this immutable server-side snapshot, never from
                    # request params.
                    credentials = llm_router.get_deployment_credentials_with_provider(model_id=model_id)
                    if credentials is not None:
                        data["_litellm_internal_model_credentials"] = cast(Dict, MappingProxyType(dict(credentials)))
                    else:
                        data.pop("_litellm_internal_model_credentials", None)
                    return await llm_router.afile_content(model=model_id, file_id=provider_file_id, **data)  # type: ignore
                except Exception as e:
                    exception_dict[model_id] = str(e)
            raise Exception(
                f"LiteLLM Managed File object with id={file_id} not found. Checked model id's: {specific_model_file_id_mapping.keys()}. Errors: {exception_dict}"
            )
        else:
            raise Exception(f"LiteLLM Managed File object with id={file_id} not found")

    async def _convert_storage_files_to_base64(
        self,
        messages: List[AllMessageValues],
        file_ids: List[str],
        litellm_parent_otel_span: Optional[Span],
    ) -> None:
        """
        Convert files stored in storage backends to base64 format for Vertex AI/Gemini.

        This method checks if any managed files are stored in storage backends,
        downloads them, and converts them to base64 format in the messages.
        """
        # Check each file_id to see if it's stored in a storage backend

View on GitHub (pinned to 6c2dcb801b)

Solutions

  1. Inspect the Errors dict per model_id to classify the root cause (404 expiry vs 401 auth vs 5xx)
  2. For expired provider files, re-run the batch/upload to recreate provider copies under a fresh unified id
  3. Fix deployment credentials in the router and retry if auth errors appear for every model
  4. Retry with backoff for transient provider failures

Example fix

# before
content = await hook.afile_content(file_id, span, router)

# after: classify from the aggregated error
try:
    content = await hook.afile_content(file_id, span, router)
except Exception as e:
    if "Errors:" in str(e) and "404" in str(e):
        raise FileNotFoundError(f"provider copy expired: {file_id}") from e
    raise
Defensive patterns

Strategy: try-catch

Try / catch

try:
    content = await hook.afile_content(file_id, span, router)
except Exception as e:
    msg = str(e)
    if "Checked model id's" in msg:
        if "404" in msg:
            raise FileNotFoundError("provider copies expired; recreate file") from e
        if any(c in msg for c in ("401", "403")):
            raise RuntimeError("provider auth failed on all deployments") from e
        raise  # possibly transient: retryable

Prevention

When it happens

Trigger: Provider-side files expired or deleted on all mapped deployments (e.g. OpenAI's ~30-day file expiry); rotated/invalid credentials on every deployment; using an output file before the provider finished materializing it; provider outages across all models.

Common situations: Downloading batch output files days after completion; credential rotation not applied to router config; multi-provider setups where all providers reject the same stale id.

Related errors


AI-assisted analysis of BerriAI/litellm@6c2dcb801b (2026-08-15). Data as JSON: /api/errors/f719f6f606d5d64b. Report an issue: GitHub.