■ FewShotChatMessagePromptTemplate 클래스의 생성자에서 examples/example_prompt 인자를 사용하는 방법을 보여준다.
▶ main.py
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from langchain_core.prompts import ChatPromptTemplate from langchain_core.prompts import FewShotChatMessagePromptTemplate exampleList = [ {"input" : "2 + 2", "output" : "4"}, {"input" : "2 + 3", "output" : "5"}, ] exampleChatPromptTemplate = ChatPromptTemplate.from_messages( [ ("human", "{input}" ), ("ai" , "{output}") ] ) fewShotChatMessagePromptTemplate = FewShotChatMessagePromptTemplate( example_prompt = exampleChatPromptTemplate, examples = exampleList, ) chatPromptValue = fewShotChatMessagePromptTemplate.invoke({}) messageList = chatPromptValue.to_messages() print(messageList) """ [ HumanMessage(content = '2 + 2'), AIMessage(content = '4'), HumanMessage(content = '2 + 3'), AIMessage(content = '5') ] """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.5 langchain-core==0.2.9 langchain-text-splitters==0.2.1 langsmith==0.1.81 multidict==6.0.5 numpy==1.26.4 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 requests==2.32.3 SQLAlchemy==2.0.31 tenacity==8.4.1 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install python-dotenv langchain 명령을 실행했다.