■ StructuredTool 클래스의 invoke 메소드에서 ToolCall 사용해 도구에서 생성된 콘텐츠와 아티팩트가 모두 포함된 ToolMessage 객체를 반환하는 방법을 보여준다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
import random from langchain_core.tools import tool from typing import Tuple from typing import List @tool(response_format = "content_and_artifact") def generateRandomInteger(min : int, max : int, size : int) -> Tuple[str, List[int]]: """Generate size random ints in the range [min, max].""" rangeList = [random.randint(min, max) for _ in range(size)] content = f"Successfully generated array of {size} random ints in [{min}, {max}]." return content, rangeList resultToolMessage = generateRandomInteger.invoke( { "name" : "generateRandomInteger", "args" : {"min" : 0, "max" : 9, "size" : 10}, "id" : "123", # required "type" : "tool_call" # required } ) print(resultToolMessage) |
▶ requirements.txt
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
aiohappyeyeballs==2.4.0 aiohttp==3.10.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 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==0.3.1 langchain-text-splitters==0.3.0 langsmith==0.1.122 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.