_convert_to_openai_response_format() — langchain Function Reference

Source Code

libs/partners/mistralai/langchain_mistralai/chat_models.py lines 1188–1222

def _convert_to_openai_response_format(
    schema: dict[str, Any] | type, *, strict: bool | None = None
) -> dict:
    """Perform same op as in ChatOpenAI, but do not pass through Pydantic BaseModels."""
    if (
        isinstance(schema, dict)
        and "json_schema" in schema
        and schema.get("type") == "json_schema"
    ):
        response_format = schema
    elif isinstance(schema, dict) and "name" in schema and "schema" in schema:
        response_format = {"type": "json_schema", "json_schema": schema}
    else:
        if strict is None:
            if isinstance(schema, dict) and isinstance(schema.get("strict"), bool):
                strict = schema["strict"]
            else:
                strict = False
        function = convert_to_openai_tool(schema, strict=strict)["function"]
        function["schema"] = function.pop("parameters")
        response_format = {"type": "json_schema", "json_schema": function}

    if (
        strict is not None
        and strict is not response_format["json_schema"].get("strict")
        and isinstance(schema, dict)
    ):
        msg = (
            f"Output schema already has 'strict' value set to "
            f"{schema['json_schema']['strict']} but 'strict' also passed in to "
            f"with_structured_output as {strict}. Please make sure that "
            f"'strict' is only specified in one place."
        )
        raise ValueError(msg)
    return response_format