Source code for langchain.agents.schema

from typing import Any, Dict, List, Tuple

from langchain_core.agents import AgentAction
from langchain_core.prompts.chat import ChatPromptTemplate


[docs]class AgentScratchPadChatPromptTemplate(ChatPromptTemplate): """Chat prompt template for the agent scratchpad."""
[docs] @classmethod def is_lc_serializable(cls) -> bool: return False
def _construct_agent_scratchpad( self, intermediate_steps: List[Tuple[AgentAction, str]] ) -> str: if len(intermediate_steps) == 0: return "" thoughts = "" for action, observation in intermediate_steps: thoughts += action.log thoughts += f"\nObservation: {observation}\nThought: " return ( f"This was your previous work " f"(but I haven't seen any of it! I only see what " f"you return as final answer):\n{thoughts}" ) def _merge_partial_and_user_variables(self, **kwargs: Any) -> Dict[str, Any]: intermediate_steps = kwargs.pop("intermediate_steps") kwargs["agent_scratchpad"] = self._construct_agent_scratchpad( intermediate_steps ) return kwargs