BerriAI/litellm · error · Exception

OpenMeter: user is required

Error message

OpenMeter: user is required

What it means

When building the CloudEvent for OpenMeter, the logger must resolve a 'subject' (the user the tokens are attributed to). It first takes the request's user field, but only when OPENMETER_TRUST_REQUEST_USER is not 'false' (default is trusted); otherwise it falls back to the user_api_key_user_id bound to the virtual API key in metadata. If both are absent it raises Exception('OpenMeter: user is required'). This exists so OpenMeter metering always has a non-empty subject.

Solutions

  1. Bind a user to the virtual key used for requests: litellm proxy admin create key with user_id (or update_key with user_id) so metadata.user_api_key_user_id resolves
  2. Or pass user in the request: litellm.completion(..., user='user-123') / the user field in /chat/completions — works when OPENMETER_TRUST_REQUEST_USER is not 'false'
  3. If you DO trust request-supplied user values, ensure OPENMETER_TRUST_REQUEST_USER is unset or 'true' so the request user is used
  4. Audit for master-key or unbound-key traffic before enabling strict mode (OPENMETER_TRUST_REQUEST_USER=false)

Example fix

# before: trust disabled + unbound key -> 'OpenMeter: user is required'
OPENMETER_TRUST_REQUEST_USER=false
# key created without user_id; call has no user field

# after: bind the user to the key
# litellm-admin: curl -X POST /key/generate -d '{"user_id": "user-123", ...}'
OPENMETER_TRUST_REQUEST_USER=false
# or, if request users are trustworthy:
OPENMETER_TRUST_REQUEST_USER=true  # and pass user='user-123' on each call
Defensive patterns

Strategy: validation

Validate before calling

import os

# Before enabling openmeter logging in strict mode, ensure every key in use carries a user.
trust = os.getenv('OPENMETER_TRUST_REQUEST_USER', 'true').lower() != 'false'
if not trust:
    # with trust off, every virtual key issuing traffic MUST have user_id bound
    keys_without_user = [k for k in fetch_virtual_keys() if not k.get('user_id')]
    assert not keys_without_user, f'bind user_id before strict mode: {keys_without_user}'

# SDK side: always attribute the call
# litellm.completion(model=..., messages=..., user='user-123')

Try / catch

try:
    litellm.completion(model='gpt-4o', messages=[...], user='user-123')
except Exception as e:
    # note: the raise happens in the logging hook; the LLM response may already exist.
    if 'OpenMeter: user is required' in str(e):
        # fix attribution (bind user_id / pass user) and retry once
        ...

Prevention

When it happens

Trigger: Specific paths: (1) OPENMETER_TRUST_REQUEST_USER=false (set for multi-tenant proxies to stop clients forging attribution) while the request's virtual key has no user_id bound — e.g. calls made with the master key or an unbound virtual key; (2) trust enabled (default) but the SDK call omits user= and the key metadata has no user_api_key_user_id. The exception is raised inside log_success_event after every successful LLM call, so it surfaces as a logging-callback failure, not a failed LLM call.

Common situations: Hardening a proxy by setting OPENMETER_TRUST_REQUEST_USER=false without first binding user_id to every virtual key; testing with the sk- master key instead of a virtual key; SDK users calling completion(model=..., messages=...) with no user argument; teams whose keys were created before user attribution was introduced.

Understand the failure class

Background: "missing required argument" and "the following required arguments were not provided": what required-argument errors mean and how to fix them — this error's family across 20 libraries.

Related errors


AI-assisted analysis of BerriAI/litellm@77b7c6c40c (2026-08-18). Data as JSON: /api/errors/a52696d19c5a073d. Report an issue: GitHub.

Appendix: source

Thrown at litellm/integrations/openmeter.py:84

        # OPENMETER_TRUST_REQUEST_USER (default "true"): when set to "false",
        # the request-supplied `user` field is ignored and the subject is
        # resolved solely from the key-bound user_api_key_user_id. Proxies
        # serving multi-tenant traffic enable this to prevent clients from
        # forging attribution by setting `user` in the request body.
        trust_request_user: Final = os.getenv("OPENMETER_TRUST_REQUEST_USER", "true").lower() != "false"
        user_param = kwargs.get("user", None) if trust_request_user else None

        # If no user provided directly, try to get it from token user_id
        if user_param is None:
            # Check if user_id is available from the API key metadata
            litellm_params: Final = kwargs.get("litellm_params", {})
            metadata: Final = litellm_params.get("metadata", {})
            user_api_key_user_id: Final = metadata.get("user_api_key_user_id", None)

            if user_api_key_user_id is not None:
                user_param = user_api_key_user_id
            else:
                raise Exception("OpenMeter: user is required")

        # Ensure subject is always a string for OpenMeter API
        subject: Final = str(user_param)

        return {
            "specversion": "1.0",
            "type": os.getenv("OPENMETER_EVENT_TYPE", "litellm_tokens"),
            "id": call_id,
            "time": dt,
            "subject": subject,
            "source": "litellm-proxy",
            "data": {"model": model, "cost": cost, **usage},
        }

    def log_success_event(self, kwargs, response_obj, start_time, end_time):
        _url = os.getenv("OPENMETER_API_ENDPOINT", "https://openmeter.cloud")
        if _url.endswith("/"):
            _url += "api/v1/events"

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