> ## Content Index > Fetch the complete content index at: https://www.hubwiz.com/blog/llms.txt > Use this file to discover other available public pages before exploring further. # Ollama函数即工具 - URL: https://www.hubwiz.com/blog/ollama-functions-as-tools/ - Published: 2024-12-01T01:36:03.000Z - Updated: 2024-12-01T01:36:03.000Z - Description: Ollama的新版本现在可以将 Python 函数直接作为 Ollama 库中的工具传递。此功能允许无缝集成 Python 库、SDK 等中的现有函数，从而使你的开发过程更加高效 - Author: admin - Tags: LIBRARY, TOOL, OLLAMA, #Import 2026-10-14 14:41 作为一名 AI 工程师，我要向 [Ollama](https://github.com/ollama/ollama?ref=hubwiz.com) 表示感谢。我学到了很多东西，并且在我的 AI 旅程中积极使用 Ollama。这个里程碑版本 0.45 带来了令人兴奋的新功能和改进，增强了库的功能和可用性。 函数即工具：版本 0.4.5 带来了令人兴奋的新功能和改进，增强了库的功能和可用性。你现在可以将 Python 函数直接作为 Ollama 库中的工具传递。此功能允许无缝集成 Python 库、SDK 等中的现有函数，从而使你的开发过程更加高效。 要开始使用最新版本的 Python，请运行： ``` pip3 install -U ollama ``` 检查你的本地模型： ``` ollama list # Loading models: ollama pull {model_name} # ollama pull llama3.2 ``` ![](https://www.hubwiz.com/blog/content/images/2024/12/image.png) 列出本地模型 基于 [Ollama 函数调用示例](https://github.com/ollama/ollama-python/blob/main/examples/tools.py?ref=hubwiz.com)，以下脚本演示了工具仍然可以手动定义并传递到聊天中。 ``` import ollama import pprint from typing import Dict, Any # multi functions import asyncio from ollama import ChatResponse def decodefunction_response(response,available_functions): if response.message.tool_calls: for tool in response.message.tool_calls: if function_to_call := available_functions.get(tool.function.name): pprint.pprint(f"Calling function: {tool.function.name}") pprint.pprint(f"Arguments: {tool.function.arguments}") pprint.pprint(f"Function out: {function_to_call(**tool.function.arguments)}") else: pprint.pprint(f"Function {tool.function.name}, NOT FOUND ERROR.") # here must use int(a) operator with int(b), like int(a)_int(b) def add_two_numbers(a:int, b:int)->int: return int(a)+int(b) def subtract_two_numbers(a:int, b:int)->int: return int(a)-int(b) add_two_numbers_tool = { 'type': 'function', 'function': { 'name': 'add_two_numbers', 'description': 'Add two numbers and return sum of these two number', 'parameters': { 'type': 'object', 'required': ['a', 'b'], 'properties': { 'a': {'type': 'integer', 'description': 'The first number'}, 'b': {'type': 'integer', 'description': 'The second number'}, }, }, }, } subtract_two_numbers_tool = { 'type': 'function', 'function': { 'name': 'subtract_two_numbers', 'description': 'Subtract two numbers', 'parameters': { 'type': 'object', 'required': ['a', 'b'], 'properties': { 'a': {'type': 'integer', 'description': 'The first number'}, 'b': {'type': 'integer', 'description': 'The second number'}, }, }, }, } async def testmultiplefunction(): client= ollama.AsyncClient() prompt = "what is three plus one?" available_functions = { "add_two_numbers":add_two_numbers, "subtract_two_numbers":subtract_two_numbers } response: ChatResponse = await client.chat( 'llama3.2', messages=[ { 'role': 'user', 'content':prompt } ], tools=[add_two_numbers, subtract_two_numbers] ) decodefunction_response(response,available_functions) return response async def testmultiplefunction_2(): client= ollama.AsyncClient() prompt = "what is three subtract one?" available_functions = { "add_two_numbers":add_two_numbers, "subtract_two_numbers":subtract_two_numbers } response: ChatResponse = await client.chat( 'llama3.2', messages=[ { 'role': 'user', 'content':prompt } ], tools=[add_two_numbers_tool, subtract_two_numbers_tool] ) decodefunction_response(response,available_functions) return response if __name__ == "__main__": try: response = asyncio.run(testmultiplefunction()) pprint.pprint(response) except: pprint.pprint("Error") pprint.pprint("***************************************") try: response = asyncio.run(testmultiplefunction_2()) pprint.pprint(response) except: pprint.pprint("Error") ``` ![](https://www.hubwiz.com/blog/content/images/2024/12/image-1.png) 函数输出和模型响应。 注意：从响应 json 中，我们注意到内容为空 😓 字符串，而函数调用的结果被解码以显示正确的结果。猜测这个问题将在未来的版本中添加。 定义函数时，使用显式类型语句🤖 很重要。例如，使用 `int(a) + int(b)` 而不是 `a + b` 来确保正确的整数加法。这可以避免来自 `add_two_numbers(3, 1)` 的“31”等意外结果，它会连接字符串而不是添加整数。 ![](https://www.hubwiz.com/blog/content/images/2024/12/image-2.png) 输出错误 ``` ... def add_two_numbers(a:int, b:int)->int: return int(a)+int(b) # NOT def add_two_numbers(a:int, b:int)->int: return a+b ... ``` 接下来，我们将测试一个函数调用的多个参数： ``` import ollama import pprint import json import base64 import requests import yfinance as yfintech from typing import Dict, Any, Callable def decodefunction_response(response,available_functions): if response.message.tool_calls: for tool in response.message.tool_calls: if function_to_call := available_functions.get(tool.function.name): pprint.pprint(f"Calling function: {tool.function.name}") pprint.pprint(f"Arguments: {tool.function.arguments}") pprint.pprint(f"Function out: {function_to_call(**tool.function.arguments)}") else: pprint.pprint(f"Function {tool.function.name}, NOT FOUND ERROR.") def get_stock_price(symbol:str) -> float: ticker = yfintech.Ticker(symbol) pprint.pprint(f"symbol===={symbol}") return ticker.info.get('regularMarketPrice') or ticker.fast_info.last_price def testonefunctioncall_getstockprice(prompt): pprint.pprint(f"*************prompt: {prompt}**************************") available_functions: Dict[str,Callable]={ 'get_stock_price':get_stock_price } try: response = ollama.chat( 'llama3.2', messages=[ { 'role': 'user', 'content':prompt } ], tools=[get_stock_price] ) decodefunction_response(response,available_functions) pprint.pprint(response) return response except: pprint.pprint("Error") if __name__ == "__main__": prompt="What are the current stock price of Microsoft, APPLE and Nvidia?" testonefunctioncall_getstockprice(prompt) ``` 这里我们有一个函数 `get_stock_price`，但使用 prompt 时只允许一个参数： ``` prompt="What are the current stock price of Microsoft, APPLE and Nvidia?" ``` 从上面的示例中，新功能和改进增强了库的功能和可用性。但是，仍有潜在的改进，例如 json 响应有结果、处理函数类型。prompt 也很重要。 --- 原文链接：[Ollama’s 100th release: functions can now be provided as tools](https://medium.com/@shmilysyg/ollamas-100th-release-functions-can-now-be-provided-as-tools-ec0a3a983496?ref=hubwiz.com) 汇智网翻译整理，转载请标明出处