■ @tool 데코레이터에서 response_format 인자를 사용해 컨텐트를 반환하는 방법을 보여준다.
▶ main.py
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import random from langchain_core.tools import tool from typing import Tuple from typing import List @tool(response_format = "content_and_artifact") def generateRandomIntegerValues(minimumValue : int, maximumValue : int, count : int) -> Tuple[str, List[int]]: """Generate size random ints in the range [minimumValue, maximumValue].""" array = [random.randint(minimumValue, maximumValue) for _ in range(count)] content = f"Successfully generated array of {count} random ints in [{minimumValue}, {maximumValue}]." return content, array responseString = generateRandomIntegerValues.invoke({"minimumValue" : 0, "maximumValue" : 9, "count" : 10}) print(responseString) """ Successfully generated array of 10 random ints in [0, 9]. """ |
▶ requirements.txt
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aiohappyeyeballs==2.4.0 aiohttp==3.10.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 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.