■ ChatOpenAI 클래스의 bind_tools 메소드를 사용해 도구 출력을 채팅 모델에 전달하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from langchain_core.tools import tool from langchain_openai import ChatOpenAI from langchain_core.messages import HumanMessage load_dotenv() @tool def add(a : int, b : int) -> int: """Adds a and b.""" return a + b @tool def multiply(a : int, b : int) -> int: """Multiplies a and b.""" return a * b toolList = [add, multiply] chatOpenAI = ChatOpenAI(model = "gpt-4o-mini") runnableBinding = chatOpenAI.bind_tools(toolList) query = "What is 3 * 12? Also, what is 11 + 49?" messageList = [HumanMessage(query)] aiMessage = runnableBinding.invoke(messageList) messageList.append(aiMessage) for toolCall in aiMessage.tool_calls: currentTool = {"add" : add, "multiply" : multiply}[toolCall["name"].lower()] toolMessage = currentTool.invoke(toolCall) messageList.append(toolMessage) resultAIMessage = runnableBinding.invoke(messageList) print(resultAIMessage.content) |
▶ requirements.txt
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annotated-types==0.7.0 anyio==4.5.0 certifi==2024.8.30 charset-normalizer==3.3.2 colorama==0.4.6 distro==1.9.0 h11==0.14.0 httpcore==1.0.5 httpx==0.27.2 idna==3.10 jiter==0.5.0 jsonpatch==1.33 jsonpointer==3.0.0 langchain-core==0.3.2 langchain-openai==0.2.0 langsmith==0.1.124 openai==1.46.1 orjson==3.10.7 packaging==24.1 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 sniffio==1.3.1 tenacity==8.5.0 tiktoken==0.7.0 tqdm==4.66.5 typing_extensions==4.12.2 urllib3==2.2.3 |
※ pip install python-dotenv langchain-openai 명령을 실행했다.