BerriAI/litellm · error · ImportError
Could not create module spec for {local_file_path}
Error message
Could not create module spec for {local_file_path} What it means
Import guard when loading a custom auth/plugin Python file: the file downloaded from S3/GCS exists but importlib.util.spec_from_file_location returned no module spec — the path is not a loadable .py module (wrong extension or unreadable file).
Source
Thrown at litellm/proxy/types_utils/utils.py:164
from litellm.proxy.common_utils.load_config_utils import (
download_python_file_from_s3,
)
success = download_python_file_from_s3(
bucket_name=bucket_name,
object_key=object_key,
local_file_path=local_file_path,
)
else: # gcs
success = asyncio.run(_download_gcs_file_wrapper(bucket_name, object_key, local_file_path))
if not success:
raise ImportError(f"Failed to download {object_key} from {storage_type} bucket {bucket_name}")
# Load the module from the downloaded file using the actual module name
spec: Final = importlib.util.spec_from_file_location(module_path, local_file_path)
if spec is None or spec.loader is None:
raise ImportError(f"Could not create module spec for {local_file_path}")
module: Final = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
# Get the instance
instance: Final = getattr(module, instance_name)
# Clean up the temporary file
try:
os.remove(local_file_path)
except Exception as cleanup_error:
verbose_proxy_logger.warning("Could not clean up temporary file %s: %s", local_file_path, cleanup_error)
verbose_proxy_logger.info("Successfully loaded custom logger from %s", remote_url)
return instance
except Exception as e:
raise ImportError(f"Failed to load custom logger from {remote_url}: {e}") from eView on GitHub (pinned to 77b7c6c40c)
Solutions
- Verify the downloaded file exists at the local path and is a valid Python module.
Defensive patterns
Strategy: validation
When it happens
Trigger: Thrown at litellm/proxy/types_utils/utils.py:164 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/b7c3382cd7014592.
Report an issue: GitHub.