mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
f92006de3c
0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>
58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
"""Response parser."""
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import json
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import re
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from typing import Any
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from langchain.chains.api.openapi.prompts import RESPONSE_TEMPLATE
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from langchain.chains.llm import LLMChain
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from langchain_core.language_models import BaseLanguageModel
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from langchain_core.output_parsers import BaseOutputParser
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from langchain_core.prompts.prompt import PromptTemplate
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class APIResponderOutputParser(BaseOutputParser):
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"""Parse the response and error tags."""
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def _load_json_block(self, serialized_block: str) -> str:
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try:
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response_content = json.loads(serialized_block, strict=False)
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return response_content.get("response", "ERROR parsing response.")
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except json.JSONDecodeError:
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return "ERROR parsing response."
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except:
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raise
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def parse(self, llm_output: str) -> str:
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"""Parse the response and error tags."""
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json_match = re.search(r"```json(.*?)```", llm_output, re.DOTALL)
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if json_match:
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return self._load_json_block(json_match.group(1).strip())
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else:
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raise ValueError(f"No response found in output: {llm_output}.")
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@property
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def _type(self) -> str:
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return "api_responder"
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class APIResponderChain(LLMChain):
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"""Get the response parser."""
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@classmethod
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def is_lc_serializable(cls) -> bool:
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return False
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@classmethod
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def from_llm(
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cls, llm: BaseLanguageModel, verbose: bool = True, **kwargs: Any
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) -> LLMChain:
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"""Get the response parser."""
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output_parser = APIResponderOutputParser()
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prompt = PromptTemplate(
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template=RESPONSE_TEMPLATE,
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output_parser=output_parser,
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input_variables=["response", "instructions"],
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)
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return cls(prompt=prompt, llm=llm, verbose=verbose, **kwargs)
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