■ @tool 데코레이터의 args_schema 인자에 BaseModel 파생 객체를 설정하는 방법을 보여준다.
▶ main.py
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from pydantic import BaseModel from pydantic import Field from langchain_core.tools import tool class CalculatorInput(BaseModel): a : int = Field(description = "first number" ) b : int = Field(description = "second number") @tool("multiplication-tool", args_schema = CalculatorInput, return_direct = True) def multiply(a : int, b : int) -> int: """Multiply two numbers.""" return a * b print(multiply.name) print(multiply.description) print(multiply.args_schema.model_json_schema()) print(multiply.return_direct) """ multiplication-tool Multiply two numbers. {'properties': {'a': {'description': 'first number', 'title': 'A', 'type': 'integer'}, 'b': {'description': 'second number', 'title': 'B', 'type': 'integer'}}, 'required': ['a', 'b'], 'title': 'CalculatorInput', 'type': 'object'} True """ |
▶ 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.