■ StructuredTool 클래스의 get_input_schema 메소드를 사용해 ModelMetaclass 객체를 구하는 방법을 보여준다.
▶ main.py
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from langchain_core.tools import tool from typing import List from typing_extensions import Annotated from langchain_core.tools import InjectedToolArg 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 modelMetaclass = updateFavoritePets.get_input_schema() |
▶ requirements.txt
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aiohappyeyeballs==2.4.0 aiohttp==3.10.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.5.0 attrs==24.2.0 certifi==2024.8.30 charset-normalizer==3.3.2 frozenlist==1.4.1 greenlet==3.1.0 h11==0.14.0 httpcore==1.0.5 httpx==0.27.2 idna==3.10 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.0 langchain-core==0.3.2 langchain-text-splitters==0.3.0 langsmith==0.1.124 multidict==6.1.0 numpy==1.26.4 orjson==3.10.7 packaging==24.1 pydantic==2.9.2 pydantic_core==2.23.4 PyYAML==6.0.2 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.35 tenacity==8.5.0 typing_extensions==4.12.2 urllib3==2.2.3 yarl==1.11.1 |
※ pip install langchain 명령을 실행했다.