■ RunnableLambda 클래스를 사용해 커스텀 출력 파서를 만드는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
※ LCEL은 | 구문을 사용하여 구성될 때 parse 함수를 RunnableLambda(parse)로 자동 업그레이드한다.
▶ main.py
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from dotenv import load_dotenv from langchain_openai import ChatOpenAI from langchain_core.messages import AIMessage load_dotenv() chatOpenAI = ChatOpenAI(model_name = "gpt-4o") def parse(aiMessage : AIMessage) -> str: """Parse the AI message.""" return aiMessage.content.swapcase() runnableSequence = chatOpenAI | parse responseString = runnableSequence.invoke("hello") print(responseString) print("-" * 50) for chunkString in runnableSequence.stream("tell me about yourself in one sentence"): print(chunkString, end = "|", flush = True) print() print("-" * 50) """ hELLO! hOW CAN i ASSIST YOU TODAY? -------------------------------------------------- i'M AN ai LANGUAGE MODEL CREATED BY oPENai, DESIGNED TO ASSIST WITH A WIDE RANGE OF QUERIES BY PROVIDING INFORMATION, GENERATING TEXT, AND ANSWERING QUESTIONS.| -------------------------------------------------- """ |
▶ requirements.txt
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annotated-types==0.7.0 anyio==4.6.2.post1 certifi==2024.8.30 charset-normalizer==3.4.0 colorama==0.4.6 distro==1.9.0 h11==0.14.0 httpcore==1.0.7 httpx==0.27.2 idna==3.10 jiter==0.7.1 jsonpatch==1.33 jsonpointer==3.0.0 langchain-core==0.3.21 langchain-openai==0.2.9 langsmith==0.1.145 openai==1.55.0 orjson==3.10.12 packaging==24.2 pydantic==2.10.1 pydantic_core==2.27.1 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.11.6 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 tenacity==9.0.0 tiktoken==0.8.0 tqdm==4.67.0 typing_extensions==4.12.2 urllib3==2.2.3 |
※ pip install python-dotenv langchain-openai 명령을 실행했다.