■ RunnableSequence 클래스의 invoke 메소드 실행시 채팅 모델이 1개 이상의 도구를 호출하는 방법을 보여준다.
▶ main.py
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import os from langchain_core.pydantic_v1 import BaseModel, Field from langchain_openai import ChatOpenAI os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" # 여기의 독스트링은 클래스 이름과 함께 모델에 전달되므로 매우 중요하다. class Add(BaseModel): """Add two integers together.""" a : int = Field(..., description = "First integer" ) b : int = Field(..., description = "Second integer") class Multiply(BaseModel): """Multiply two integers together.""" a : int = Field(..., description = "First integer" ) b : int = Field(..., description = "Second integer") toolList = [Add, Multiply] chatOpenAI = ChatOpenAI(model="gpt-3.5-turbo-0125") toolRunnableSequence = chatOpenAI.bind_tools(toolList) aiMessage = toolRunnableSequence.invoke("What is 3 * 12? Also, what is 11 + 49?") print(aiMessage.tool_calls) """ [ {'name' : 'Multiply', 'args' : {'a': 3 , 'b': 12}, 'id' : 'call_EYHvf35oWmH0YS87AJvHA3Ja'}, {'name' : 'Add' , 'args' : {'a': 11, 'b': 49}, 'id' : 'call_i5mmBQjq2urdMtgWCbUvmkjv'} ] """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 distro==1.9.0 exceptiongroup==1.2.1 frozenlist==1.4.1 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.5 langchain-core==0.2.7 langchain-openai==0.1.8 langchain-text-splitters==0.2.1 langsmith==0.1.77 multidict==6.0.5 numpy==1.26.4 openai==1.34.0 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.30 tenacity==8.3.0 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.1 yarl==1.9.4 |
※ pip install langchain langchain-openai 명령을 실행했다.