■ Runnable 클래스를 사용해 커스텀 실행을 만드는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from langchain_openai import ChatOpenAI from langchain_core.prompts import ChatPromptTemplate from langchain_core.prompts import MessagesPlaceholder from langchain.memory import ConversationBufferMemory from langchain_core.runnables import Runnable from langchain_core.runnables import RunnableLambda from operator import itemgetter from langchain_core.runnables import RunnablePassthrough from langchain_core.output_parsers import StrOutputParser load_dotenv() chatOpenAI = ChatOpenAI(model_name = "gpt-4o-mini", temperature = 0) chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful chatbot"), MessagesPlaceholder(variable_name = "chat_history"), ("human", "{input}"), ] ) conversationBufferMemory = ConversationBufferMemory(memory_key = "chat_history", return_messages = True) class CustomRunnable(Runnable): def __init__(self, llm, promptTemplate, memory, input_key = "input"): self.llm = llm self.prompt = promptTemplate self.memory = memory self.input_key = input_key self.chain = ( RunnablePassthrough.assign(chat_history = RunnableLambda(self.memory.load_memory_variables) | itemgetter(memory.memory_key)) | promptTemplate | llm | StrOutputParser() ) def invoke(self, query, config = None, **kwargs): responseString = self.chain.invoke({self.input_key : query}) self.memory.save_context(inputs = {"human" : query}, outputs = {"ai" : responseString}) return responseString customRunnable = CustomRunnable(chatOpenAI, chatPromptTemplate, conversationBufferMemory) responseAIMessage1 = customRunnable.invoke("안녕하세요? 만나서 반갑습니다. 제 이름은 홍길동 입니다.") print(responseAIMessage1) print("-" *50) responseAIMessage2 = customRunnable.invoke("제 이름은 무엇입니까?") print(responseAIMessage2) print("-" *50) responseAIMessage3 = customRunnable.invoke("앞으로는 영어로만 답변해주세요 알겠어요?") print(responseAIMessage3) print("-" *50) responseAIMessage4 = customRunnable.invoke("제 이름을 다시 한 번 말해주세요") print(responseAIMessage4) print("-" *50) messageList = customRunnable.memory.load_memory_variables({})["chat_history"] print(messageList) print("-" *50) """ 안녕하세요, 홍길동님! 만나서 반갑습니다. 어떻게 도와드릴까요? -------------------------------------------------- 홍길동님이라고 하셨습니다. 맞나요? -------------------------------------------------- Got it! I will respond in English from now on. How can I assist you today? -------------------------------------------------- Your name is Hong Gil-dong. -------------------------------------------------- [HumanMessage(content='안녕하세요? 만나서 반갑습니다. 제 이름은 홍길동 입니다.', additional_kwargs={}, response_metadata={}), AIMessage(content='안녕하세요, 홍길동님! 만나서 반갑습니다. 어떻게 도와드릴까요?', additional_kwargs={}, response_metadata={}), HumanMessage(content='제 이름은 무엇입니까?', additional_kwargs={}, response_metadata={}), AIMessage(content='홍길동님이라고 하셨습니다. 맞나요?', additional_kwargs={}, response_metadata={}), HumanMessage(content='앞으로는 영어로만 답변해주세요 알겠어요?', additional_kwargs={}, response_metadata={}), AIMessage(content='Got it! I will respond in English from now on. How can I assist you today?', additional_kwargs={}, response_metadata={}), HumanMessage(content='제 이름을 다시 한 번 말해주세요', additional_kwargs={}, response_metadata={}), AIMessage(content='Your name is Hong Gil-dong.', additional_kwargs={}, response_metadata={})] -------------------------------------------------- """ |
▶ 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 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 idna==3.10 jiter==0.8.2 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.14 langchain-core==0.3.29 langchain-openai==0.3.0 langchain-text-splitters==0.3.5 langsmith==0.2.10 multidict==6.1.0 numpy==1.26.4 openai==1.59.6 orjson==3.10.14 packaging==24.2 propcache==0.2.1 pydantic==2.10.5 pydantic_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_extensions==4.12.2 urllib3==2.3.0 yarl==1.18.3 |
※ pip install python-dotenv langchain langchain_openai 명령을 실행했다.