BerriAI/litellm · error · BadRequestError

AzureException BadRequestError - {message}

Error message

AzureException BadRequestError - {message}

What it means

Error "AzureException BadRequestError - {message}" thrown in BerriAI/litellm.

Source

Thrown at litellm/litellm_core_utils/exception_mapping_utils.py:1954

            "This error occurs when load balancing Responses API across deployments with different API keys.\n"
            "   Encrypted content is tied to the organization that created it and cannot be decrypted by other organizations.\n\n"
            "   Solution: Enable 'encrypted_content_affinity' to route follow-up requests to the correct deployment:\n\n"
            "   router_settings:\n"
            "     enable_pre_call_checks: true\n"
            "     optional_pre_call_checks:\n"
            "       - encrypted_content_affinity\n\n"
            "   Learn more: https://docs.litellm.ai/docs/response_api#encrypted-content-affinity-multi-region-load-balancing"
        )
        raise BadRequestError(
            message=helpful_message,
            llm_provider="azure",
            model=model,
            litellm_debug_info=extra_information,
            response=getattr(original_exception, "response", None),
            body=getattr(original_exception, "body", None),
        )
    elif "invalid_request_error" in error_str and getattr(original_exception, "status_code", None) in (None, 400):
        raise BadRequestError(
            message=f"AzureException BadRequestError - {message}",
            llm_provider="azure",
            model=model,
            litellm_debug_info=extra_information,
            response=getattr(original_exception, "response", None),
            body=getattr(original_exception, "body", None),
        )
    elif "The api_key client option must be set either by passing api_key to the client or by setting" in error_str:
        raise AuthenticationError(
            message=f"{exception_provider} AuthenticationError - {message}",
            llm_provider=custom_llm_provider,
            model=model,
            litellm_debug_info=extra_information,
            response=getattr(original_exception, "response", None),
        )
    elif "Connection error" in error_str:
        raise APIConnectionError(
            message=f"{exception_provider} APIConnectionError - {message}",

View on GitHub (pinned to 6c2dcb801b)

Solutions

1. Fix the Azure request per the error message (often deployment name, api_version, or parameters).

When it happens

Trigger: Thrown at litellm/litellm_core_utils/exception_mapping_utils.py:1954 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of BerriAI/litellm@6c2dcb801b (2026-08-15). Data as JSON: /api/errors/c50d93d2fd57d080. Report an issue: GitHub.