AgentAction

The name of the Tool to execute.

The input to pass in to the Tool.

Additional information to log about the action.

This log can be used in a few ways. First, it can be used to audit what exactly the LLM predicted to lead to this (tool, tool_input).

Second, it can be used in future iterations to show the LLMs prior thoughts. This is useful when (tool, tool_input) does not contain full information about the LLM prediction (for example, any thought before the tool/tool_input).

Return the messages that correspond to this action.

AgentAction is serializable.

Get the namespace of the LangChain object.