■ RunnableWithMessageHistory 클래스에서 ChatMessageHistory 객체를 사용하는 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 MessagesPlaceholder from langchain_community.chat_message_histories import ChatMessageHistory from langchain_openai import ChatOpenAI from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables.history import RunnableWithMessageHistory load_dotenv() chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", "당신은 Question-Answering 챗봇입니다. 주어진 질문에 대한 답변을 제공해주세요."), MessagesPlaceholder(variable_name = "chat_history"), ("human", "#Question:\n{question}") ] ) chatOpenAI = ChatOpenAI(model_name = "gpt-4o-mini") runnableSequence = chatPromptTemplate | chatOpenAI | StrOutputParser() sessionDictionary = {} def getSessionHistory(session_id): if session_id not in sessionDictionary: sessionDictionary[session_id] = ChatMessageHistory() return sessionDictionary[session_id] runnableWithMessageHistory = RunnableWithMessageHistory( runnableSequence, getSessionHistory, input_messages_key = "question", history_messages_key = "chat_history" ) question1 = "나의 이름은 홍길동 입니다." print(question1) print("-" * 50) responseString1 = runnableWithMessageHistory.invoke({"question" : question1}, config = {"configurable" : {"session_id" : "1"}}) print(responseString1) print("-" * 50) question2 = "내 이름은 무엇입니까?" print(question2) print("-" * 50) responseString2 = runnableWithMessageHistory.invoke({"question" : question2}, config = {"configurable" : {"session_id" : "1"}}) print(responseString2) print("-" * 50) print(question2) print("-" * 50) responseString3 = runnableWithMessageHistory.invoke({"question" : question2}, config = {"configurable" : {"session_id" : "2"}}) print(responseString3) print("-" * 50) """ 나의 이름은 홍길동 입니다. -------------------------------------------------- 안녕하세요, 홍길동님! 어떻게 도와드릴까요? -------------------------------------------------- 내 이름은 무엇입니까? -------------------------------------------------- 당신의 이름은 홍길동입니다. -------------------------------------------------- 내 이름은 무엇입니까? -------------------------------------------------- 죄송하지만, 저는 사용자 개인 정보를 알 수 없습니다. 사용자의 이름을 알려주시면 그에 따른 대화를 이어갈 수 있습니다! -------------------------------------------------- """ |
▶ requirements.txt
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aiohappyeyeballs==2.4.4 aiohttp==3.11.11 aiosignal==1.3.2 annotated-types==0.7.0 anyio==4.8.0 async-timeout==4.0.3 attrs==24.3.0 certifi==2024.12.14 charset-normalizer==3.4.1 dataclasses-json==0.6.7 distro==1.9.0 exceptiongroup==1.2.2 frozenlist==1.5.0 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.7 httpx==0.28.1 httpx-sse==0.4.0 idna==3.10 jiter==0.8.2 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.14 langchain-community==0.3.14 langchain-core==0.3.29 langchain-openai==0.3.0 langchain-text-splitters==0.3.5 langsmith==0.2.10 marshmallow==3.25.1 multidict==6.1.0 mypy-extensions==1.0.0 numpy==1.26.4 openai==1.59.6 orjson==3.10.14 packaging==24.2 propcache==0.2.1 pydantic==2.10.5 pydantic-settings==2.7.1 pydantic_core==2.27.2 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 SQLAlchemy==2.0.37 tenacity==9.0.0 tiktoken==0.8.0 tqdm==4.67.1 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.3.0 yarl==1.18.3 |
※ pip install python-dotenv langchain-community langchain_openai 명령을 실행했다.