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langchain/langchain/agents/self_ask_with_search/output_parser.py

24 lines
913 B
Python

from typing import Sequence, Union
from langchain.agents.agent import AgentOutputParser
from langchain.schema import AgentAction, AgentFinish, OutputParserException
class SelfAskOutputParser(AgentOutputParser):
followups: Sequence[str] = ("Follow up:", "Followup:")
finish_string: str = "So the final answer is: "
def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
last_line = text.split("\n")[-1]
if not any([follow in last_line for follow in self.followups]):
if self.finish_string not in last_line:
raise OutputParserException(f"Could not parse output: {text}")
return AgentFinish({"output": last_line[len(self.finish_string) :]}, text)
after_colon = text.split(":")[-1].strip()
return AgentAction("Intermediate Answer", after_colon, text)
@property
def _type(self) -> str:
return "self_ask"