def clarify_args_for_agent_action(
        self,
        agent_action: AgentAction,
        history: ChatMessageHistory,
        intermediate_steps: List[AgentAction],
        **kwargs: Any,
    ) -> Union[AgentAction, AgentFinish]:
        """
        Ask clarifying question if needed. When agent is about to perform an action, we could
        use this function with different prompt to ask clarifying question for input if needed.
        Sometimes the planning response would already have the clarifying question, but we found
        it is more precise if there is a different prompt just for clarifying args

        Args:
            agent_action: agent action about to take
            history: conversation history including the latest query
            intermediate_steps: list of agent action taken so far
            **kwargs:

        Returns:
            Either a clarifying question (AgentFinish) or take the planned action (AgentAction)
        """
        return agent_action

        Ask clarifying question if needed. When agent is about to perform an action, we could
        use this function with different prompt to ask clarifying question for input if needed.
        Sometimes the planning response would already have the clarifying question, but we found
        it is more precise if there is a different prompt just for clarifying args

        Args:
            agent_action: agent action about to take
            history: conversation history including the latest query
            intermediate_steps: list of agent action taken so far
            **kwargs:

        Returns:
            Either a clarifying question (AgentFinish) or take the planned action (AgentAction)
        
autochain/agent/base_agent.py