■ RunnableBinding 클래스의 invoke 메소드를 사용해 도구 호출 메시지 반환받기
※ 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 typing import List from typing_extensions import Annotated from langchain_core.tools import InjectedToolArg from langchain_openai import ChatOpenAI load_dotenv() userDictionary = {} @tool(parse_docstring = True) def updateFavoritePets(petList : List[str], userID : Annotated[str, InjectedToolArg]) -> None: """Add the list of favorite pets. Args: petList : List of favorite pets to set. userID : User's ID. """ userDictionary[userID] = petList @tool(parse_docstring = True) def deleteFavoritePets(userID : Annotated[str, InjectedToolArg]) -> None: """Delete the list of favorite pets. Args: userID : User's ID. """ if userID in userDictionary: del userDictionary[userID] @tool(parse_docstring = True) def listFavoritePets(userID : Annotated[str, InjectedToolArg]) -> None: """List favorite pets if any. Args: userID : User's ID. """ return userDictionary.get(userID, []) toolList = [ updateFavoritePets, deleteFavoritePets, listFavoritePets, ] chatOpenAI = ChatOpenAI(model = "gpt-4o-mini") runnableBinding = chatOpenAI.bind_tools(toolList) resultAIMessage = runnableBinding.invoke("my favorite animals are cats and parrots") print(resultAIMessage) """ content = '' additional_kwargs = { 'tool_calls' : [ { 'id' : 'call_K5SPmsNARej3KoY3Q5MfhUA9', 'function' : { 'arguments' : '{"petList" : ["cats", "parrots"]}', 'name' : 'updateFavoritePets' }, 'type' : 'function' } ], 'refusal' : None } response_metadata = { 'token_usage' : { 'completion_tokens' : 20, 'prompt_tokens' : 93, 'total_tokens' : 113, 'completion_tokens_details' : {'reasoning_tokens' : 0} }, 'model_name' : 'gpt-4o-mini-2024-07-18', 'system_fingerprint' : 'fp_1bb46167f9', 'finish_reason' : 'tool_calls', 'logprobs' : None } id = 'run-cf06bb22-dc56-42ca-a36c-6457535a2c48-0' tool_calls = [ { 'name' : 'updateFavoritePets', 'args' : {'petList' : ['cats', 'parrots']}, 'id' : 'call_K5SPmsNARej3KoY3Q5MfhUA9', 'type' : 'tool_call' } ] usage_metadata = { 'input_tokens' : 93, 'output_tokens' : 20, 'total_tokens' : 113 } """ |
▶ 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.