■ CompiledStateGraph 클래스의 step_timeout 속성을 사용해 최대 실행 시간을 설정하는 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 |
import time from dotenv import load_dotenv from langchain_openai import ChatOpenAI from langchain_core.tools import tool 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.""" time.sleep(2.5) return input + 2 toolList = [magicFunction] query = "what is the value of magicFunction(3)?" compiledStateGraph = create_react_agent(chatOpenAI, tools = toolList) compiledStateGraph.step_timeout = 2 try: for addableValuesDict in compiledStateGraph.stream( {"messages" : [("human", query)]}, stream_mode = "values" ): print(addableValuesDict["messages"][-1]) except TimeoutError: print({"input": query, "output": "Agent stopped due to a step timeout."}) """ content='what is the value of magicFunction(3)?' additional_kwargs={} response_metadata={} id='2936b729-7fd1-4cea-8ec0-b0263ba98ac3' content='' additional_kwargs={'tool_calls': [{'id': 'call_fH2XQ0gcHy4ipWrTYhGAtk2W', 'function': {'arguments': '{"input":3}', 'name': 'magicFunction'}, 'type': 'function'}], 'refusal': None} response_metadata={'token_usage': {'completion_tokens': 14, 'prompt_tokens': 55, 'total_tokens': 69, 'completion_tokens_details': {'audio_tokens': None, 'reasoning_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': None, 'cached_tokens': 0}}, 'model_name': 'gpt-4o-2024-08-06', 'system_fingerprint': 'fp_6b68a8204b', 'finish_reason': 'tool_calls', 'logprobs': None} id='run-ceae95f6-65ec-4666-b281-310a8e3b8dff-0' tool_calls=[{'name': 'magicFunction', 'args': {'input': 3}, 'id': 'call_fH2XQ0gcHy4ipWrTYhGAtk2W', 'type': 'tool_call'}] usage_metadata={'input_tokens': 55, 'output_tokens': 14, 'total_tokens': 69, 'input_token_details': {'cache_read': 0}, 'output_token_details': {'reasoning': 0}} {'input': 'what is the value of magicFunction(3)?', 'output': 'Agent stopped due to a step timeout.'} """ |
▶ 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 50 51 |
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 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==1.15.2 |
※ pip install python-dotenv langchain langchain-openai langgraph 명령을 실행했다.