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from typing import List, Tuple | |
from langchain_core.agents import AgentAction | |
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.""" | |
thoughts = "" | |
for action, observation in intermediate_steps: | |
thoughts += action.log | |
thoughts += f"\n{observation_prefix}{observation}\n{llm_prefix}" | |
return thoughts | |