Source code for langchain.agents.format_scratchpad.log

from typing import List, Tuple

from langchain_core.agents import AgentAction


[docs] def format_log_to_str( intermediate_steps: List[Tuple[AgentAction, str]], observation_prefix: str = "Observation: ", llm_prefix: str = "Thought: ", ) -> str: """Construct the scratchpad that lets the agent continue its thought process. Args: intermediate_steps: List of tuples of AgentAction and observation strings. observation_prefix: Prefix to append the observation with. Defaults to "Observation: ". llm_prefix: Prefix to append the llm call with. Defaults to "Thought: ". Returns: str: The scratchpad. """ thoughts = "" for action, observation in intermediate_steps: thoughts += action.log thoughts += f"\n{observation_prefix}{observation}\n{llm_prefix}" return thoughts