"""Return response when agent has been stopped due to max iterations."""
        if early_stopping_method == "force":
            # `force` just returns a constant string
            return AgentFinish(
                {"output": "Agent stopped due to iteration limit or time limit."}, ""
            )
        else:
            raise ValueError(
                f"Got unsupported early_stopping_method `{early_stopping_method}`"
            )
[docs]    @classmethod
    def from_llm_and_tools(
        cls,
        llm: BaseLanguageModel,
        tools: Sequence[BaseTool],
        callback_manager: Optional[BaseCallbackManager] = None,
        **kwargs: Any,
    ) -> BaseSingleActionAgent:
        raise NotImplementedError
    @property
    def _agent_type(self) -> str:
        """Return Identifier of agent type."""
        raise NotImplementedError
[docs]    def dict(self, **kwargs: Any) -> Dict:
        """Return dictionary representation of agent."""
        _dict = super().dict()
        _type = self._agent_type
        if isinstance(_type, AgentType):
            _dict["_type"] = str(_type.value)
        else:
            _dict["_type"] = _type
        return _dict
[docs]    def save(self, file_path: Union[Path, str]) -> None:
        """Save the agent.
        Args:
            file_path: Path to file to save the agent to.
        Example:
        .. code-block:: python
            # If working with agent executor
            agent.agent.save(file_path="path/agent.yaml")
        """
        # Convert file to Path object.
        if isinstance(file_path, str):
            save_path = Path(file_path)
        else:
            save_path = file_path