■ ChatOpenAI 클래스의 with_structured_output 메소드에서 JSON 스키마를 전달해 구조화된 데이터를 받는 방법을 보여준다.
▶ main.py
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import os from langchain_openai import ChatOpenAI os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" jsonSchema = { "title" : "joke", "description" : "Joke to tell user.", "type" : "object", "properties" : { "setup" : {"type" : "string" , "description" : "The setup of the joke" }, "punchline": {"type" : "string" , "description" : "The punchline to the joke" }, "rating" : {"type" : "integer", "description" : "How funny the joke is, from 1 to 10"} }, "required" : ["setup", "punchline"] } chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125") runnableSequence = chatOpenAI.with_structured_output(jsonSchema) resultDictionary = runnableSequence.invoke("Tell me a joke about cats") print(resultDictionary) """ {'setup': 'Why was the cat sitting on the computer?', 'punchline': 'To keep an eye on the mouse!', 'rating': 8} """ |
▶ 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==8.3.0 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.1 |
※ pip install langchain-openai 명령을 실행했다.