Source code for langchain.agents.format_scratchpad.log_to_messages

from typing import List, Tuple

from langchain_core.agents import AgentAction
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage


[docs] def format_log_to_messages( intermediate_steps: List[Tuple[AgentAction, str]], template_tool_response: str = "{observation}", ) -> List[BaseMessage]: """Construct the scratchpad that lets the agent continue its thought process. Args: intermediate_steps: List of tuples of AgentAction and observation strings. template_tool_response: Template to format the observation with. Defaults to "{observation}". Returns: List[BaseMessage]: The scratchpad. """ thoughts: List[BaseMessage] = [] for action, observation in intermediate_steps: thoughts.append(AIMessage(content=action.log)) human_message = HumanMessage( content=template_tool_response.format(observation=observation) ) thoughts.append(human_message) return thoughts