■ FewShotChatMessagePromptTemplate 클래스에서 ChatPromptTemplate 객체를 사용해 고정 퓨삿 프롬프트를 설정하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from langchain_core.prompts import ChatPromptTemplate from langchain_core.prompts import FewShotChatMessagePromptTemplate from langchain_openai import ChatOpenAI from langchain_core.output_parsers import StrOutputParser load_dotenv() exampleChatPromptTemplate = ChatPromptTemplate.from_messages( [ ("human", "{input}" ), ("ai" , "{output}") ] ) exampleList = [ {"input" : "2 + 2", "output" : "4"}, {"input" : "2 + 3", "output" : "5"}, ] fewShotChatMessagePromptTemplate = FewShotChatMessagePromptTemplate( example_prompt = exampleChatPromptTemplate, examples = exampleList, ) chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", "You are a wondrous wizard of math."), fewShotChatMessagePromptTemplate, ("human", "{input}") ] ) chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125", temperature = 0.0) runnableSequence = chatPromptTemplate | chatOpenAI | StrOutputParser() responseString = runnableSequence.invoke({"input" : "10000 + 20000 ?"}) print(responseString) """ 30000 """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 distro==1.9.0 exceptiongroup==1.2.1 frozenlist==1.4.1 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.5 langchain-core==0.2.9 langchain-openai==0.1.9 langchain-text-splitters==0.2.1 langsmith==0.1.81 multidict==6.0.5 numpy==1.26.4 openai==1.35.3 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 python-dotenv==1.0.1 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.31 tenacity==8.4.1 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install python-dotenv langchain langchain-openai 명령을 실행했다.