■ 모델에서 임시 도구 호출 기능을 추가하는 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 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
from langchain_core.tools import tool from langchain_core.tools import render_text_description from langchain_core.prompts import ChatPromptTemplate from langchain_community.llms import Ollama @tool def multiply(x : float, y : float) -> float: """Multiply two numbers together.""" return x * y @tool def add(x : int, y : int) -> int: "Add two numbers." return x + y toolList = [multiply, add] toolListTextDescription = render_text_description(toolList) systemPromptTemplateString = f"""\ You are an assistant that has access to the following set of tools. Here are the names and descriptions for each tool: {toolListTextDescription} Given the user input, return the name and input of the tool to use. Return your response as a JSON blob with 'name' and 'arguments' keys. The `arguments` should be a dictionary, with keys corresponding to the argument names and the values corresponding to the requested values. """ chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", systemPromptTemplateString), ("user" , "{input}") ] ) ollama = Ollama(model = "phi3:latest") runnableSequence = chatPromptTemplate | ollama response = runnableSequence.invoke({"input" : "what's 3 plus 1132"}) if isinstance(response, str): print(response) else: print(response.content) """ ```json { "name": "add", "arguments": { "x": 3, "y": 1132 } } ``` How can I assist you further? (If the user'sin a different context or needs help with something else) """ |
▶ 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 37 38 39 40 41 42 43 44 |
aiohappyeyeballs==2.4.3 aiohttp==3.10.8 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.6.0 attrs==24.2.0 certifi==2024.8.30 charset-normalizer==3.3.2 dataclasses-json==0.6.7 frozenlist==1.4.1 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.6 httpx==0.27.2 idna==3.10 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.1 langchain-community==0.3.1 langchain-core==0.3.8 langchain-text-splitters==0.3.0 langsmith==0.1.130 marshmallow==3.22.0 multidict==6.1.0 mypy-extensions==1.0.0 numpy==1.26.4 orjson==3.10.7 packaging==24.1 pydantic==2.9.2 pydantic-settings==2.5.2 pydantic_core==2.23.4 python-dotenv==1.0.1 PyYAML==6.0.2 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 SQLAlchemy==2.0.35 tenacity==8.5.0 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.3 yarl==1.13.1 |
※ pip install langchain langchain-community 명령을 실행했다.