■ ChatOpenAI 클래스의 bind 메소드를 사용해 모델별 형식으로 도구를 바인딩하는 방법을 보여준다.
▶ main.py
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import os from langchain_openai import ChatOpenAI os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" chatOpenAI = ChatOpenAI() toolRunnableSequence = chatOpenAI.bind( tools = { "type" : "function", "function" : { "name" : "multiply", "description" : "Multiply two integers together.", "parameters" : { "type" : "object", "properties" : { "a" : {"type" : "number", "description" : "First integer" }, "b" : {"type" : "number", "description" : "Second integer"} }, "required" : ["a", "b"] } } } ) aiMessage1 = toolRunnableSequence.invoke("Whats 119 times 8?") print(aiMessage1) """ content = '' additional_kwargs = { 'tool_calls': [ { 'id' : 'call_Bw7eaQCc6F9DY6WPNBGHhGAE', 'function' : {'arguments' : '{"a" : 119, "b" : 8}', 'name' : 'multiply'}, 'type' : 'function' } ] } response_metadata = { 'token_usage' : {'completion_tokens' : 32, 'prompt_tokens' : 62, 'total_tokens' : 94}, 'model_name' : 'gpt-3.5-turbo', 'system_fingerprint' : None, 'finish_reason' : 'tool_calls', 'logprobs' : None } id = 'run-56500493-a993-4d66-b66a-5570352c8a32-0' tool_calls = [ { 'name' : 'multiply', 'args' : {'a' : 119, 'b' : 8}, 'id' : 'call_Bw7eaQCc6F9DY6WPNBGHhGAE' } ] usage_metadata = {'input_tokens' : 62, 'output_tokens' : 32, 'total_tokens' : 94} """ |
▶ 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 dataclasses-json==0.6.7 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-community==0.2.5 langchain-core==0.2.7 langchain-experimental==0.0.61 langchain-openai==0.1.8 langchain-text-splitters==0.2.1 langsmith==0.1.77 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 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-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.1 yarl==1.9.4 |
※ pip install langchain langchain_experimental langchain-openai 명령을 실행했다.