■ @tool 데코레이터를 사용해 대상 함수의 인자에 Annotated 객체를 사용해 인자 구문 분석을 지원하는 방법을 보여준다.
▶ main.py
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from langchain_core.tools import tool from typing import Annotated from typing import List @tool def multiplyByMaximumValue( value : Annotated[str , "scale factor"], valueList : Annotated[List[int], "list of ints over which to take maximum"] ) -> int: """Multiply a by the maximum of b.""" return value * max(valueList) modelMetaclass = multiplyByMaximumValue.args_schema modelJSONSchemaDictionary = modelMetaclass.model_json_schema() print(modelJSONSchemaDictionary) """ { 'description' : 'Multiply a by the maximum of b.', 'properties' : { 'value' : { 'description' : 'scale factor', 'title' : 'Value', 'type' : 'string' }, 'valueList' : { 'description' : 'list of ints over which to take maximum', 'items' : {'type' : 'integer'}, 'title' : 'Valuelist', 'type' : 'array' } }, 'required' : ['value', 'valueList'], 'title' : 'multiplyByMaximumValue', 'type' : 'object' } """ |
▶ requirements.txt
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aiohappyeyeballs==2.4.3 aiohttp==3.11.7 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.6.2.post1 attrs==24.2.0 certifi==2024.8.30 charset-normalizer==3.4.0 frozenlist==1.5.0 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.7 httpx==0.27.2 idna==3.10 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.8 langchain-core==0.3.21 langchain-text-splitters==0.3.2 langsmith==0.1.145 multidict==6.1.0 numpy==1.26.4 orjson==3.10.12 packaging==24.2 propcache==0.2.0 pydantic==2.10.1 pydantic_core==2.27.1 PyYAML==6.0.2 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 SQLAlchemy==2.0.36 tenacity==9.0.0 typing_extensions==4.12.2 urllib3==2.2.3 yarl==1.18.0 |
※ pip install langchain 명령을 실행했다.