OllamaFunctions如何使用？
网友回复
OllamaFunctions 是一个实验性的 Python 库，它将 Ollama 模型封装为与 OpenAI Functions 相同的 API。
这使得开发者可以利用 Ollama 模型来调用特定的函数，并以结构化的方式获取输出。这个库的设计目的是为了让 Ollama 模型能够执行类似于 OpenAI 的函数调用功能，从而支持更复杂的交互和数据处理任务。通过 OllamaFunctions，可以定义函数的参数和描述，并通过模型的函数调用能力来执行这些函数，返回符合预设模式的结构化数据。
安装依赖
pip install langchain_experimental运行代码
import requests
from langchain_experimental.llms.ollama_functions import OllamaFunctions
from langchain_core.messages import HumanMessage, ToolMessage
def exec_result(result):
for tool_call in result.tool_calls:
selected_tool = {"get_current_weather": get_current_weather}[tool_call["name"].lower()]
tool_output = selected_tool(tool_call["args"])
def get_current_weather(args):
city=args['location']
# 对城市名称进行URL编码
city_encoded = requests.utils.quote(city)
# API URL，包含城市名称参数
api_url = f...点击查看剩余70%
by python
除了OllamaFunctions可以实现大模型调用函数插件功能外，大模型内置的提示词也可以实现
提示词
You have access to the following tools:
{function_to_json(get_weather)}
{function_to_json(calculate_mortgage_payment)}
{function_to_json(get_directions)}
{function_to_json(get_article_details)}
You must follow these instructions:
Always select one or more of the above tools based on the user ...点击查看剩余70%
by python
ollama客户端已经支持函数调用
pip install ollama
import json
import ollama
import asyncio
# Simulates an API call to get flight times
# In a real application, this would fetch data from a live database or API
def get_flight_times(departure: str, arrival: str) -> str:
flights = {
'NYC-LAX': {'departure': '08:00 AM', 'arrival': '11:30 AM', 'duration': '5h 30m'},
'LAX-NYC': {'departure': '02:00 PM', 'arrival': '10:30 PM', 'duration': '5h 30m'},
'LHR-JFK': {'departure': '10:00 AM', 'arrival': '01:00 PM', 'duration': '8h 00m'},
'JFK-LHR': {'departure': '09:00 PM', 'arrival': '09:00 AM', 'duration': '7h 00m'},
'CDG-DXB': {'departure': '11:00 AM', 'arrival': '08:00 PM', 'duration': '6h 00m'},
'DXB-CDG': {'departure': '03:00 AM', 'arrival': '07:30 AM', 'duration': '7h 30m'},
}
key = f'{departure}-{arrival}'.upper()
return json.dumps(flights.get(key, {'error': 'Flight not found'}))
async def run(model: str):
client = ollama.AsyncClient()
# Initialize conversation with a user query
messag...点击查看剩余70%
by thinkfuture
现在用ollama客户端可以实现function call了
import json
import ollama
import asyncio
# Simulates an API call to get flight times
# In a real application, this would fetch data from a live database or API
def get_flight_times(departure: str, arrival: str) -> str:
flights = {
'NYC-LAX': {'departure': '08:00 AM', 'arrival': '11:30 AM', 'duration': '5h 30m'},
'LAX-NYC': {'departure': '02:00 PM', 'arrival': '10:30 PM', 'duration': '5h 30m'},
'LHR-JFK': {'departure': '10:00 AM', 'arrival': '01:00 PM', 'duration': '8h 00m'},
'JFK-LHR': {'departure': '09:00 PM', 'arrival': '09:00 AM', 'duration': '7h 00m'},
'CDG-DXB': {'departure': '11:00 AM', 'arrival': '08:00 PM', 'duration': '6h 00m'},
'DXB-CDG': {'departure': '03:00 AM', 'arrival': '07:30 AM', 'duration': '7h 30m'},
}
key = f'{departure}-{arrival}'.upper()
return json.dumps(flights.get(key, {'error': 'Flight not found'}))
async def run(model: str):
client = ollama.AsyncClient()
# Initialize conversation with a user query
messages =...点击查看剩余70%
by thinkfuture
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