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30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
import re
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from typing import Union
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from langchain.agents.agent import AgentOutputParser
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from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
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from langchain.schema import AgentAction, AgentFinish, OutputParserException
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FINAL_ANSWER_ACTION = "Final Answer:"
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class MRKLOutputParser(AgentOutputParser):
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def get_format_instructions(self) -> str:
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return FORMAT_INSTRUCTIONS
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def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
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if FINAL_ANSWER_ACTION in text:
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return AgentFinish(
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{"output": text.split(FINAL_ANSWER_ACTION)[-1].strip()}, text
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)
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# \s matches against tab/newline/whitespace
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regex = (
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r"Action\s*\d*\s*:[\s]*(.*?)[\s]*Action\s*\d*\s*Input\s*\d*\s*:[\s]*(.*)"
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)
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match = re.search(regex, text, re.DOTALL)
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if not match:
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raise OutputParserException(f"Could not parse LLM output: `{text}`")
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action = match.group(1).strip()
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action_input = match.group(2)
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return AgentAction(action, action_input.strip(" ").strip('"'), text)
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