■ AgentExecutor 클래스의 생성자에서 trim_intermediate_steps 인자를 사용해 장기 실행 에이전트의 중간 단계를 제거하는 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.tools import tool from langchain.agents import create_tool_calling_agent from langchain.agents import AgentExecutor load_dotenv() chatOpenAI = ChatOpenAI(model = "gpt-4o") chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system" , "You are a helpful assistant."), ("human" , "{input}" ), ("placeholder", "{agent_scratchpad}" ) ] ) magicStepNumber = 1 @tool def magicFunction(input : int) -> int: """Applies a magic function to an input.""" global magicStepNumber print(f"Call number : {magicStepNumber}") magicStepNumber += 1 return input + magicStepNumber toolList = [magicFunction] runnableSequence = create_tool_calling_agent(chatOpenAI, toolList, prompt = chatPromptTemplate) def trimStepList(stepList : list): # 에이전트의 기억력을 제거한다. return [] agentAxecutor = AgentExecutor( agent = runnableSequence, tools = toolList, trim_intermediate_steps = trimStepList ) query = "Call the magic function 4 times in sequence with the value 3. You cannot call it multiple times at once." for addableDict in agentAxecutor.stream({"input" : query}): pass """ Call number : 1 Call number : 2 Call number : 3 Call number : 4 Call number : 5 Call number : 6 Call number : 7 Call number : 8 Call number : 9 Call number : 10 Call number : 11 Call number : 12 Call number : 13 Call number : 14 Call number : 15 Stopping agent prematurely due to triggering stop condition """ |
▶ requirements.txt
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aiohappyeyeballs==2.4.3 aiohttp==3.10.10 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.6.2 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 langsmith==0.1.134 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==1.15.2 |
※ pip install python-dotenv langchain langchain-openai 명령을 실행했다.