■ create_react_agent 함수의 checkpointer 인자에서 MemorySaver 객체를 설정하는 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.tools import tool from langchain_core.messages import SystemMessage from langgraph.checkpoint.memory import MemorySaver # 인 메모리 체크 포인터 from langgraph.prebuilt import create_react_agent load_dotenv() chatOpenAI = ChatOpenAI(model = "gpt-4o") @tool def magicFunction(input : int) -> int: """Applies a magic function to an input.""" return input + 2 toolList = [magicFunction] systemMessage = SystemMessage(content = "You are a helpful assistant. Respond only in Korean.") memorySaver = MemorySaver() compiledStateGraph = create_react_agent( chatOpenAI, toolList, state_modifier = systemMessage, checkpointer = memorySaver ) configurationDictionary = {"configurable" : {"thread_id" : "thread1"}} addableValuesDict1 = compiledStateGraph.invoke( {"messages" : [("user", "Hi, I'm polly! What's the output of magic_function of 3?")]}, configurationDictionary, ) print(addableValuesDict1["messages"][-1].content) print("-" * 100) addableValuesDict2 = compiledStateGraph.invoke( {"messages" : [("user", "Remember my name?")]}, configurationDictionary ) print(addableValuesDict2["messages"][-1].content) print("-" * 100) addableValuesDict3 = compiledStateGraph.invoke( {"messages" : [("user", "what was that output again?")]}, configurationDictionary ) print(addableValuesDict3["messages"][-1].content) """ 매직 함수에 입력값 3을 넣으면 출력값은 5입니다. |
당신의 이름은 Polly입니다.
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매직 함수에 입력값 3을 넣었을 때의 출력값은 5였습니다.
"""
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▶ requirements.txt
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aiohappyeyeballs==2.4.3 aiohttp==3.10.10 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.6.0 async-timeout==4.0.3 attrs==24.2.0 certifi==2024.8.30 charset-normalizer==3.4.0 distro==1.9.0 exceptiongroup==1.2.2 frozenlist==1.4.1 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.6 httpx==0.27.2 idna==3.10 jiter==0.6.1 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.3 langchain-core==0.3.10 langchain-openai==0.2.2 langchain-text-splitters==0.3.0 langgraph==0.2.35 langgraph-checkpoint==2.0.1 langsmith==0.1.134 msgpack==1.1.0 multidict==6.1.0 numpy==1.26.4 openai==1.51.2 orjson==3.10.7 packaging==24.1 propcache==0.2.0 pydantic==2.9.2 pydantic_core==2.23.4 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.9.11 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 SQLAlchemy==2.0.35 tenacity==8.5.0 tiktoken==0.8.0 tqdm==4.66.5 typing_extensions==4.12.2 urllib3==2.2.3 yarl==1.14.0 |
※ pip install python-dotenv langchain langchain-openai langgraph 명령을 실행했다.