forked from Archives/langchain
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Union
|
|
|
|
from langchain.agents import AgentOutputParser
|
|
from langchain.agents.conversational_chat.prompt import FORMAT_INSTRUCTIONS
|
|
from langchain.output_parsers.json import parse_json_markdown
|
|
from langchain.schema import AgentAction, AgentFinish, OutputParserException
|
|
|
|
|
|
class ConvoOutputParser(AgentOutputParser):
|
|
def get_format_instructions(self) -> str:
|
|
return FORMAT_INSTRUCTIONS
|
|
|
|
def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
|
|
try:
|
|
response = parse_json_markdown(text)
|
|
action, action_input = response["action"], response["action_input"]
|
|
if action == "Final Answer":
|
|
return AgentFinish({"output": action_input}, text)
|
|
else:
|
|
return AgentAction(action, action_input, text)
|
|
except Exception as e:
|
|
raise OutputParserException(f"Could not parse LLM output: {text}") from e
|
|
|
|
@property
|
|
def _type(self) -> str:
|
|
return "conversational_chat"
|