Files
langchain-python/langchain/chains/api/openapi/response_chain.py
T
Ankush Gola d3ec00b566 Callbacks Refactor [base] (#3256)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-04-30 11:14:09 -07:00

48 lines
1.6 KiB
Python

"""Response parser."""
import json
import re
from typing import Any
from langchain.chains.api.openapi.prompts import RESPONSE_TEMPLATE
from langchain.chains.llm import LLMChain
from langchain.llms.base import BaseLLM
from langchain.prompts.prompt import PromptTemplate
from langchain.schema import BaseOutputParser
class APIResponderOutputParser(BaseOutputParser):
"""Parse the response and error tags."""
def _load_json_block(self, serialized_block: str) -> str:
try:
response_content = json.loads(serialized_block, strict=False)
return response_content.get("response", "ERROR parsing response.")
except json.JSONDecodeError:
return "ERROR parsing response."
except:
raise
def parse(self, llm_output: str) -> str:
"""Parse the response and error tags."""
json_match = re.search(r"```json(.*?)```", llm_output, re.DOTALL)
if json_match:
return self._load_json_block(json_match.group(1).strip())
else:
raise ValueError(f"No response found in output: {llm_output}.")
class APIResponderChain(LLMChain):
"""Get the response parser."""
@classmethod
def from_llm(cls, llm: BaseLLM, verbose: bool = True, **kwargs: Any) -> LLMChain:
"""Get the response parser."""
output_parser = APIResponderOutputParser()
prompt = PromptTemplate(
template=RESPONSE_TEMPLATE,
output_parser=output_parser,
input_variables=["response", "instructions"],
)
return cls(prompt=prompt, llm=llm, verbose=verbose, **kwargs)