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ccproxy.llms.formatters.anthropic_to_openai.errors

ccproxy.llms.formatters.anthropic_to_openai.errors

Anthropic→OpenAI error conversion entry point.

convert__anthropic_to_openai__error 

convert__anthropic_to_openai__error(error)

Convert an Anthropic error payload to the OpenAI envelope.

Source code in ccproxy/llms/formatters/anthropic_to_openai/errors.py 
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def convert__anthropic_to_openai__error(error: BaseModel) -> BaseModel:
    """Convert an Anthropic error payload to the OpenAI envelope."""
    from ccproxy.llms.models.anthropic import ErrorResponse as AnthropicErrorResponse

    if isinstance(error, AnthropicErrorResponse):
        anthropic_error = error.error
        error_message = anthropic_error.message
        anthropic_error_type = "api_error"
        if hasattr(anthropic_error, "type"):
            anthropic_error_type = anthropic_error.type

        openai_error_type = ANTHROPIC_TO_OPENAI_ERROR_TYPE.get(
            anthropic_error_type, "api_error"
        )

        return OpenAIErrorResponse(
            error=ErrorDetail(
                message=error_message,
                type=openai_error_type,
                code=None,
                param=None,
            )
        )

    if hasattr(error, "error") and hasattr(error.error, "message"):
        error_message = error.error.message
        return OpenAIErrorResponse(
            error=ErrorDetail(
                message=error_message,
                type="api_error",
                code=None,
                param=None,
            )
        )

    error_message = "Unknown error occurred"
    if hasattr(error, "message"):
        error_message = error.message
    elif hasattr(error, "model_dump"):
        error_dict = error.model_dump()
        if isinstance(error_dict, dict):
            error_message = error_dict.get("message", str(error_dict))

    return OpenAIErrorResponse(
        error=ErrorDetail(
            message=error_message,
            type="api_error",
            code=None,
            param=None,
        )
    )