openai/openai-python · error · ValueError
Expected a non-empty value for `container_id` but received {
Error message
Expected a non-empty value for `container_id` but received {container_id!r} What it means
The OpenAI Python SDK raises ValueError when a required path parameter is empty before making any HTTP request. Here, `client.containers.files.content.retrieve(container_id, file_id)` was called with a falsy `container_id` (None or empty string). This is a client-side guard so an invalid request never reaches the API.
Source
Thrown at src/openai/resources/containers/files/content.py:68
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx2.Timeout | None | NotGiven = not_given,
) -> _legacy_response.HttpxBinaryResponseContent:
"""
Retrieve Container File Content
Args:
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not container_id:
raise ValueError(f"Expected a non-empty value for `container_id` but received {container_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"Accept": "application/binary", **(extra_headers or {})}
return self._get(
path_template(
"/containers/{container_id}/files/{file_id}/content", container_id=container_id, file_id=file_id
),
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
security={"bearer_auth": True},
),
cast_to=_legacy_response.HttpxBinaryResponseContent,
)
View on GitHub (pinned to 9917c6e28e)
Solutions
- Check where container_id comes from and ensure it is a non-empty string before calling retrieve
- Add a guard: if not container_id: raise/log before the API call
- Verify you created the container and are using container.id from the response
Example fix
// before
content = client.containers.files.content.retrieve(container_id, file_id).parse()
// after
if not container_id:
raise ValueError("container_id is required")
content = client.containers.files.content.retrieve(container_id, file_id).parse() Defensive patterns
Strategy: validation
Validate before calling
if not container_id or not isinstance(container_id, str):
raise ValueError(f"container_id must be a non-empty string, got {container_id!r}")
content = client.containers.files.content.retrieve(container_id, file_id).parse() Type guard
def is_valid_id(value: object) -> bool:
return isinstance(value, str) and bool(value.strip()) Try / catch
try:
content = client.containers.files.content.retrieve(container_id, file_id).parse()
except ValueError as e:
if "container_id" in str(e):
raise HTTPException(400, str(e))
raise Prevention
- Validate IDs at the API/schema boundary before calling SDK methods
- Never pass .get() results directly to SDK path parameters
- Log the exact value of path parameters when onboarding new data sources
When it happens
Trigger: Calling containers.files.content.retrieve with container_id='' or None, e.g. when the ID variable was never assigned, came from an unset config field, or a prior create call returned an object without an id.
Common situations: Reading container IDs from environment variables or config that are missing; using a response field that doesn't exist (getattr returning None); typos in variable names passed to the call.
Understand the failure class
Background: Missing required parameter errors: what 'X is required' and 'the required X param is missing' mean, and how to fix them — this error's family across 27 libraries.
Related errors
- Expected a non-empty value for `file_id` but received {file_
- Expected a non-empty value for `project_id` but received {pr
- Expected a non-empty value for `project_id` but received {pr
- Expected a non-empty value for `project_id` but received {pr
- Expected a non-empty value for `group_id` but received {grou
AI-assisted analysis of openai/openai-python@9917c6e28e (2026-08-28).
Data as JSON: /api/errors/e9cb788ced1e82cf.
Report an issue: GitHub.