■ ChatMessageHistory 클래스를 사용해 메모리에 채팅 메시지 히스토리를 저장하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
from dotenv import load_dotenv from langchain_core.prompts import ChatPromptTemplate from langchain_core.prompts import MessagesPlaceholder from langchain_openai import ChatOpenAI from langchain_core.output_parsers import StrOutputParser from langchain_community.chat_message_histories import ChatMessageHistory from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.runnables.history import RunnableWithMessageHistory from langchain_core.messages import HumanMessage load_dotenv() chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant. Answer all questions to the best of your ability in {language}."), MessagesPlaceholder(variable_name = "messages"), ] ) chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo") runnableSequence = chatPromptTemplate | chatOpenAI | StrOutputParser() storeDictionary = {} def GetChatMessageHistory(sessionID : str) -> BaseChatMessageHistory: if sessionID not in storeDictionary: storeDictionary[sessionID] = ChatMessageHistory() return storeDictionary[sessionID] runnableWithMessageHistory = RunnableWithMessageHistory( runnableSequence, GetChatMessageHistory, input_messages_key = "messages", ) reponseString1 = runnableWithMessageHistory.invoke( { "messages" : [HumanMessage(content = "hi! I'm todd")], "language" : "Korean" }, config = {"configurable" : {"session_id" : "session1"}}, ) print(reponseString1) print() responseString2 = runnableWithMessageHistory.invoke( { "messages" : [HumanMessage(content = "whats my name?")], "language" : "Korean" }, config = {"configurable" : {"session_id" : "session1"}}, ) print(responseString2) print() """ 안녕하세요, Todd님! 만나서 반가워요. 어떻게 도와드릴까요? 당신의 이름은 Todd입니다. """ |
▶ requirements.txt
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
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 dataclasses-json==0.6.7 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-community==0.2.5 langchain-core==0.2.9 langchain-openai==0.1.9 langchain-text-splitters==0.2.1 langsmith==0.1.81 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 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-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install python-dotenv langchain langchain-community langchain-openai 명령을 실행했다.