■ add_messages 함수를 사용해 채팅 메시지를 누적하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from typing_extensions import TypedDict from typing import Annotated from langgraph.graph.message import add_messages from langchain_openai import ChatOpenAI from langgraph.graph import StateGraph from langgraph.graph import START from langgraph.graph import END load_dotenv() class State(TypedDict): messageList : Annotated[list, add_messages] chatOpenAI = ChatOpenAI(model = "gpt-4o-mini") def chat(state : State): return {"messageList" : [chatOpenAI.invoke(state["messageList"])]} stateGraph = StateGraph(State) stateGraph.add_node("chatbot_node", chat) stateGraph.add_edge(START , "chatbot_node") stateGraph.add_edge("chatbot_node", END ) compiledStateGraph = stateGraph.compile() while True: userInput = input("사용자 : ") if userInput.lower() in ["quit", "exit", "q"]: print("프로그램을 종료합니다.") break for addableUpdatesDict in compiledStateGraph.stream({"messageList" : ("user", userInput)}): for valueDictionary in addableUpdatesDict.values(): print("비서 : ", valueDictionary["messageList"][-1].content) |
▶ requirements.txt
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annotated-types==0.7.0 anyio==4.7.0 certifi==2024.12.14 charset-normalizer==3.4.1 colorama==0.4.6 distro==1.9.0 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-core==0.3.28 langchain-openai==0.2.14 langgraph==0.2.60 langgraph-checkpoint==2.0.9 langgraph-sdk==0.1.48 langsmith==0.2.7 msgpack==1.1.0 openai==1.58.1 orjson==3.10.13 packaging==24.2 pydantic==2.10.4 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 tenacity==9.0.0 tiktoken==0.8.0 tqdm==4.67.1 typing_extensions==4.12.2 urllib3==2.3.0 |
※ install python-dotenv langchain-openai langgraph 명령을 실행했다.