■ 사용자 정의 출력 파서를 만드는 방법을 보여준다.
▶ main.py
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import os from langchain_openai import ChatOpenAI from langchain_core.output_parsers import JsonOutputParser os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125") jsonOutputParser = JsonOutputParser() def getCountryNameList(inputDictionary): """입력 스트림에서 작동하지 않고 스트리밍을 중단하는 함수이다.""" if not isinstance(inputDictionary, dict): return "" if "countries" not in inputDictionary: return "" countryList = inputDictionary["countries"] if not isinstance(countryList, list): return "" countryNameList = [country.get("name") for country in countryList if isinstance(country, dict)] return countryNameList runnableSequence = chatOpenAI | jsonOutputParser | getCountryNameList requestString = """output a list of the countries france, spain and japan and their populations in JSON format. \ Use a dict with an outer key of "countries" which contains a list of countries. \ Each country should have the key `name` and `population`""" for responseChunkString in runnableSequence.stream(requestString): print(responseChunkString, flush = True) """ ['France', 'Spain', 'Japan'] """ |
▶ requirements.txt
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annotated-types==0.7.0 anyio==4.4.0 certifi==2024.6.2 charset-normalizer==3.3.2 distro==1.9.0 exceptiongroup==1.2.1 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain-core==0.2.7 langchain-openai==0.1.8 langsmith==0.1.77 openai==1.34.0 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 tenacity==8.4.1 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.2 |
※ pip install langchain-openai 명령을 실행했다.