_stop = None
        else:
            _stop = list(stop)
        content = await self._call_async(text, stop=_stop, **kwargs)
        return AIMessage(content=content)
    @property
    def _identifying_params(self) -> Mapping[str, Any]:
        """Get the identifying parameters."""
        return {}
    def __str__(self) -> str:
        """Get a string representation of the object for printing."""
        cls_name = f"\033[1m{self.__class__.__name__}\033[0m"
        return f"{cls_name}\nParams: {self._identifying_params}"
    @property
    @abstractmethod
    def _llm_type(self) -> str:
        """Return type of llm."""
[docs]    def dict(self, **kwargs: Any) -> Dict:
        """Return a dictionary of the LLM."""
        starter_dict = dict(self._identifying_params)
        starter_dict["_type"] = self._llm_type
        return starter_dict
[docs]    def save(self, file_path: Union[Path, str]) -> None:
        """Save the LLM.
        Args:
            file_path: Path to file to save the LLM to.
        Example:
        .. code-block:: python
            llm.save(file_path="path/llm.yaml")
        """
        # Convert file to Path object.
        if isinstance(file_path, str):
            save_path = Path(file_path)
        else:
            save_path = file_path
        directory_path = save_path.parent
        directory_path.mkdir(parents=True, exist_ok=True)
        # Fetch dictionary to save
        prompt_dict = self.dict()
        if save_path.suffix == ".json":