BedrockAgentAction

class langchain_aws.agents.base.BedrockAgentAction

Bases: AgentAction

AgentAction with session id information.

Parameters:

session_id – session id

param log: str [Required]

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).

param session_id: str [Required]

param tool: str [Required]

The name of the Tool to execute.

param tool_input: str | dict [Required]

The input to pass in to the Tool.

param type: Literal['AgentAction'] = 'AgentAction'

property messages: Sequence[BaseMessage]

Return the messages that correspond to this action.