xtekky/gpt4free · error · MissingAuthError

{e}. Ask for help in the {cls.login_url} Discord server.

Error message

{e}. Ask for help in the {cls.login_url} Discord server.

What it means

Thrown by the Azure provider (g4f/Provider/needs_auth/Azure.py) when the underlying Azure OpenAI request fails with MissingAuthError, i.e. the Azure AD / OAuth credentials the provider cached are absent, expired, or rejected. The provider counts the failure per model+api_key in cls.failed and re-raises a new MissingAuthError with instructions to get help in the provider's Discord server (cls.login_url). It is purely an authentication/credentials problem, not a network or model problem.

Source

Thrown at g4f/Provider/needs_auth/Azure.py:155

            for key, value in cls.model_extra_body[model].items():
                kwargs.setdefault(key, value)
            stream = False
        if cls.failed.get(model + api_key, 0) >= 3:
            raise MissingAuthError(f"API key has failed too many times.")
        try:
            async for chunk in super().create_async_generator(
                model=model,
                messages=messages,
                stream=stream,
                media=media,
                api_key=api_key,
                api_endpoint=api_endpoint,
                **kwargs,
            ):
                yield chunk
        except MissingAuthError as e:
            cls.failed[model + api_key] = cls.failed.get(model + api_key, 0) + 1
            raise MissingAuthError(
                f"{e}. Ask for help in the {cls.login_url} Discord server."
            ) from e

View on GitHub (pinned to 973504e177)

Solutions

1. Supply a fresh, valid api_key for the Azure deployment when creating the generator.
2. Verify the api_endpoint points at the correct deployment and that the key matches that endpoint's resource.
3. Clear/refresh cached credentials so the provider re-authenticates from scratch instead of reusing the rejected token.
4. If the key should be valid, ask in the Discord server referenced by the provider's login_url, since the message suggests the credentials come from a shared/managed source.

Example fix

# before
async for chunk in Azure.create_async_generator(model="gpt-4", messages=msgs, api_key="stale-key"):
    print(chunk)

# after
async for chunk in Azure.create_async_generator(model="gpt-4", messages=msgs, api_key=valid_azure_key):
    print(chunk)

from g4f.errors import MissingAuthError

async def safe_azure(model, messages, api_key):
    try:
        return [c async for c in Azure.create_async_generator(model=model, messages=messages, api_key=api_key)]
    except MissingAuthError as e:
        print(f"Azure auth failed: {e}; rotating credentials")
        return None

def is_missing_auth_error(exc: BaseException) -> bool:
    return isinstance(exc, MissingAuthError)

try:
    async for chunk in Azure.create_async_generator(...):
        process(chunk)
except MissingAuthError as e:
    # rotate/refresh the api_key, then retry or switch provider
    rotate_credentials_and_retry(e)

When it happens

Trigger: Calling Azure.create_async_generator with an api_key that Azure rejects, with an expired cached AAD token, or with no api_key at all when the provider requires one. Each failure increments cls.failed[model + api_key]; the raise happens in the except MissingAuthError handler that wraps super().create_async_generator.

Common situations: Azure AD token expiring mid-session; wrong or rotated api_key for the Azure endpoint; using a custom api_endpoint whose deployment does not accept the supplied key; running g4f after Azure credential refresh changed the token.

Related errors

• API key has failed too many times.
• No valid access token obtained.
• No Yupp accounts configured. Set YUPP_API_KEY environment va
• hCaptcha accessibility cookie required: log in at https://da
• GitHub Copilot OAuth not configured. Please run 'g4f auth gi

AI-assisted analysis of xtekky/gpt4free@973504e177 (2026-08-14). Data as JSON: /api/errors/18195fdc3d04e8cb. Report an issue: GitHub.