百度360必应搜狗淘宝本站头条
当前位置:网站首页 > 技术文章 > 正文

使用C#构建一个同时问多个LLM并总结的小工具

zhezhongyun 2025-06-09 07:23 17 浏览

前言

在AI编程时代,如果自己能够知道一些可行的解决方案,那么描述清楚交给AI,可以有很大的帮助。

但是我们往往不知道真正可行的解决方案是什么?

我自己有过这样的经历,遇到一个需求,我不知道有哪些解决方案,就去问AI,然后AI输出一大堆东西,我一个个去试,然后再换个AI问,又提出了不同的解决方案。

在换AI问与一个个试的过程中好像浪费了很多时间。

突然出现了一个想法,不是可以一下子把问题丢给多个AI,然后再总结一下出现最多的三个方案。那么这三个方案可行的概率会大一点。然后再丢给Cursor或者Cline等AI编程工具帮我们实现一下。

这样做的缺点是比起直接在网页上问,调用API需要耗费Token,但是硅基流动给我赠送了很多额度还没用完,随便玩一下。

实现效果:

image-20250507165621088
image-20250507165714732

实现方案

实现方案也很简单,如下图所示:

image-20250507165456604

先设计一下布局:

<UserControl xmlns="https://github.com/avaloniaui"
xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
mc:Ignorable="d" d:DesignWidth="800" d:DesignHeight="450"
xmlns:vm="using:AIE_Studio.ViewModels"
x:DataType="vm:DuoWenViewModel"
x:Class="AIE_Studio.Views.DuoWenView">
<StackPanel>
<TextBox Text="{Binding Question}"></TextBox>
<Button Content="提问" Command="{Binding DuoWenStreamingParallelCommand}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<Grid>
<Grid.RowDefinitions>
<RowDefinition Height="*"/>
<RowDefinition Height="*"/>
</Grid.RowDefinitions>
<Grid.ColumnDefinitions>
<ColumnDefinition Width="*"/>
<ColumnDefinition Width="*"/>
<ColumnDefinition Width="*"/>
</Grid.ColumnDefinitions>
<!-- Row 1, Column 1 -->
<StackPanel Grid.Row="0" Grid.Column="0">
<TextBlock Text="{Binding Title1}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result1}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
<!-- Row 1, Column 2 -->
<StackPanel Grid.Row="0" Grid.Column="1">
<TextBlock Text="{Binding Title2}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result2}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
<!-- Row 1, Column 3 -->
<StackPanel Grid.Row="0" Grid.Column="2">
<TextBlock Text="{Binding Title3}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result3}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
<!-- Row 2, Column 1 -->
<StackPanel Grid.Row="1" Grid.Column="0">
<TextBlock Text="{Binding Title4}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result4}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
<!-- Row 2, Column 2 -->
<StackPanel Grid.Row="1" Grid.Column="1">
<TextBlock Text="{Binding Title5}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result5}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
<!-- Row 2, Column 3 -->
<StackPanel Grid.Row="1" Grid.Column="2">
<TextBlock Text="{Binding Title6}" Margin="5"/>
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding Result6}" AcceptsReturn="True" Margin="5" Height="300"/>
</ScrollViewer>
</StackPanel>
</Grid>
</ScrollViewer>
</StackPanel>
</UserControl>
image-20250508144609463

在ViewModel中先来看一下最原始的显示结果的方式:

 [RelayCommand]
private async Task DuoWen()
{
ApiKeyCredential apiKeyCredential = new ApiKeyCredential("your api key");

OpenAIClientOptions openAIClientOptions = new OpenAIClientOptions();
openAIClientOptions.Endpoint = new Uri("https://api.siliconflow.cn/v1");

IChatClient client1 =
new OpenAI.Chat.ChatClient("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions).AsChatClient();

var result1 = await client1.GetResponseAsync(Question);

Result1 = result1.ToString();

IChatClient client2 =
new OpenAI.Chat.ChatClient("Qwen/Qwen3-235B-A22B", apiKeyCredential, openAIClientOptions).AsChatClient();

var result2 = await client2.GetResponseAsync(Question);

Result2 = result2.ToString();

IChatClient client3 =
new OpenAI.Chat.ChatClient("THUDM/GLM-Z1-32B-0414", apiKeyCredential, openAIClientOptions).AsChatClient();

var result3 = await client3.GetResponseAsync(Question);

Result3 = result3.ToString();

IChatClient client4 =
new OpenAI.Chat.ChatClient("THUDM/GLM-4-32B-0414", apiKeyCredential, openAIClientOptions).AsChatClient();

var result4 = await client4.GetResponseAsync(Question);

Result4 = result4.ToString();

IChatClient client5 =
new OpenAI.Chat.ChatClient("deepseek-ai/DeepSeek-R1", apiKeyCredential, openAIClientOptions).AsChatClient();

var result5 = await client5.GetResponseAsync(Question);

Result5 = result5.ToString();

IChatClient client6 =
new OpenAI.Chat.ChatClient("deepseek-ai/DeepSeek-V3", apiKeyCredential, openAIClientOptions).AsChatClient();

var result6 = await client6.GetResponseAsync(Question);

Result6 = result6.ToString();

这种最简单的方式是非流式的并且也不是并行的,你会发现一个结束了才会继续向下一个提问。

但至少已经成功显示结果了,现在想要实现的是有一个窗体进行总结。

窗体设计:

<Window xmlns="https://github.com/avaloniaui"
xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
mc:Ignorable="d" d:DesignWidth="600" d:DesignHeight="450"
xmlns:vm="using:AIE_Studio.ViewModels"
x:Class="AIE_Studio.Views.ShowResultWindow"
x:DataType="vm:ShowResultWindowViewModel"
Title="ShowResultWindow">
<StackPanel>
<TextBlock Text="最终结果:" Margin="5" />
<ScrollViewer VerticalScrollBarVisibility="Auto">
<TextBox Text="{Binding ReceivedValue}" AcceptsReturn="True" Margin="5" Height="400"/>
</ScrollViewer>
</StackPanel>
</Window>

窗体的ViewModel:

public partial class ShowResultWindowViewModel : ViewModelBase
{
[ObservableProperty]
private string? receivedValue;
}

然后只要在全部都有结果之后,再进行一下总结即可。

IChatClient client7 =
new OpenAI.Chat.ChatClient("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions).AsChatClient();
List<Microsoft.Extensions.AI.ChatMessage> messages = new List<Microsoft.Extensions.AI.ChatMessage>();

string prompt = $"""
请分析以下各个助手给出的方案,选择其中提到最多的3种方案。
助手1:{result1}
助手2:{result2}
助手3:{result3}
助手4:{result4}
助手5:{result5}
助手6:{result6}
"
"";
messages.Add(new Microsoft.Extensions.AI.ChatMessage(ChatRole.User, prompt));
var result7 = await client7.GetResponseAsync(messages);

var showWindow = _serviceProvider.GetRequiredService<ShowResultWindow>();
var showWindowViewModel = _serviceProvider.GetRequiredService<ShowResultWindowViewModel>();
showWindowViewModel.ReceivedValue = result7.ToString();
showWindow.DataContext = showWindowViewModel;
showWindow.Show();

以上就成功实现了。

但是还是有可以改进的地方,首先是并行,一个一个问不如同时问。

 [RelayCommand]
private async Task DuoWenParallel()
{
ApiKeyCredential apiKeyCredential = new ApiKeyCredential("your api key");

OpenAIClientOptions openAIClientOptions = new OpenAIClientOptions();
openAIClientOptions.Endpoint = new Uri("https://api.siliconflow.cn/v1");

// 创建一个列表来存储所有的任务
var tasks = new List<Task<string>>();

// 向每个助手发送请求并将任务添加到列表中
tasks.Add(GetResponseFromClient("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions));
tasks.Add(GetResponseFromClient("Qwen/Qwen3-235B-A22B", apiKeyCredential, openAIClientOptions));
tasks.Add(GetResponseFromClient("THUDM/GLM-Z1-32B-0414", apiKeyCredential, openAIClientOptions));
tasks.Add(GetResponseFromClient("THUDM/GLM-4-32B-0414", apiKeyCredential, openAIClientOptions));
tasks.Add(GetResponseFromClient("deepseek-ai/DeepSeek-R1", apiKeyCredential, openAIClientOptions));
tasks.Add(GetResponseFromClient("deepseek-ai/DeepSeek-V3", apiKeyCredential, openAIClientOptions));

// 等待所有任务完成
var results = await Task.WhenAll(tasks);

// 将结果分配给相应的属性
Result1 = results[0];
Result2 = results[1];
Result3 = results[2];
Result4 = results[3];
Result5 = results[4];
Result6 = results[5];
}

private async Task<string> GetResponseFromClient(string model, ApiKeyCredential apiKeyCredential, OpenAIClientOptions options)
{
IChatClient client = new OpenAI.Chat.ChatClient(model, apiKeyCredential, options).AsChatClient();
var result = await client.GetResponseAsync(Question);
return result.ToString();
}

现在虽然是并行了,但是只有等到所有助手都回答了之后,才会统一显示,用户体验也不好。

改成流式:

[RelayCommand]
private async Task DuoWenStreaming()
{
ApiKeyCredential apiKeyCredential = new ApiKeyCredential("your api key");

OpenAIClientOptions openAIClientOptions = new OpenAIClientOptions();
openAIClientOptions.Endpoint = new Uri("https://api.siliconflow.cn/v1");

//string question = "C#如何获取鼠标滑动选中的值?请告诉我一些可能的方案,每个方案只需用一句话描述即可,不用展开说明。";

IChatClient client1 =
new OpenAI.Chat.ChatClient("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions).AsChatClient();

awaitforeach (var item in client1.GetStreamingResponseAsync(Question))
{
Result1 += item.ToString();
}
}

现在查看效果:

最后再改造成流式+并行就好了。

 [RelayCommand]
private async Task DuoWenStreamingParallel()
{
ApiKeyCredential apiKeyCredential = new ApiKeyCredential("your api key");

OpenAIClientOptions openAIClientOptions = new OpenAIClientOptions();
openAIClientOptions.Endpoint = new Uri("https://api.siliconflow.cn/v1");

// Clear previous results
Result1 = Result2 = Result3 = Result4 = Result5 = Result6 = string.Empty;

// Create a list of tasks for parallel processing
var tasks = new List<Task>
{
ProcessStreamingResponse("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions, (text) => Result1 += text),
ProcessStreamingResponse("Qwen/Qwen3-235B-A22B", apiKeyCredential, openAIClientOptions, (text) => Result2 += text),
ProcessStreamingResponse("THUDM/GLM-Z1-32B-0414", apiKeyCredential, openAIClientOptions, (text) => Result3 += text),
ProcessStreamingResponse("THUDM/GLM-4-32B-0414", apiKeyCredential, openAIClientOptions, (text) => Result4 += text),
ProcessStreamingResponse("deepseek-ai/DeepSeek-R1", apiKeyCredential, openAIClientOptions, (text) => Result5 += text),
ProcessStreamingResponse("deepseek-ai/DeepSeek-V3", apiKeyCredential, openAIClientOptions, (text) => Result6 += text)
};

// Wait for all streaming responses to complete
await Task.WhenAll(tasks);

IChatClient client7 =
new OpenAI.Chat.ChatClient("Qwen/Qwen2.5-72B-Instruct", apiKeyCredential, openAIClientOptions).AsChatClient();
List<Microsoft.Extensions.AI.ChatMessage> messages = new List<Microsoft.Extensions.AI.ChatMessage>();

string prompt = $"""
请分析以下各个助手给出的方案,选择其中提到最多的3种方案。
助手1:{Result1}
助手2:{Result2}
助手3:{Result3}
助手4:{Result4}
助手5:{Result5}
助手6:{Result6}
"
"";
messages.Add(new Microsoft.Extensions.AI.ChatMessage(ChatRole.User, prompt));
var result7 = await client7.GetResponseAsync(messages);

var showWindow = _serviceProvider.GetRequiredService<ShowResultWindow>();
var showWindowViewModel = _serviceProvider.GetRequiredService<ShowResultWindowViewModel>();
showWindowViewModel.ReceivedValue = result7.ToString();
showWindow.DataContext = showWindowViewModel;
showWindow.Show();
}

private async Task ProcessStreamingResponse(string model, ApiKeyCredential apiKeyCredential, OpenAIClientOptions options, Action<string> updateResult)
{
IChatClient client = new OpenAI.Chat.ChatClient(model, apiKeyCredential, options).AsChatClient();

awaitforeach (var item in client.GetStreamingResponseAsync(Question))
{
updateResult(item.ToString());
}
}

这里使用了一个带有一个参数的委托来更新每个助手回复的结果。

现在再查看效果:

Qwen/Qwen3-235B-A22B、THUDM/GLM-Z1-32B-0414、deepseek-ai/DeepSeek-R1有思考过程,返回结果比较慢。

目前Microsoft.Extensions.AI.OpenAI好像还无法获取思考内容。

image-20250508151236981

等待久一会之后,可以看到结果都出来了:

image-20250508151421036

然后总结窗口会显示最终的总结内容:

image-20250508151629385

确定方案之后可以让Cursor或者Cline帮我们写一下试试。


相关推荐

Chinese vice premier calls for multilateralism at Davos

DAVOS,Switzerland,Jan.21(Xinhua)--ChineseVicePremierDingXuexiangdeliveredaspeechatthe...

用C++ Qt手把手打造炫酷汽车仪表盘

一、项目背景与核心价值在车载HMI(人机交互界面)开发领域,虚拟仪表盘是智能座舱的核心组件。本项目基于C++Qt框架实现一个具备专业级效果的时速表模块,涵盖以下技术要点:Qt图形绘制核心机制(QPa...

系列专栏(八):JS的第七种基本类型Symbols

ES6作为新一代JavaScript标准,已正式与广大前端开发者见面。为了让大家对ES6的诸多新特性有更深入的了解,MozillaWeb开发者博客推出了《ES6InDepth》系列文章。CSDN...

MFC界面开发工具BCG v31.1 - 增强功能区、工具箱功能

点击“了解更多”获取工具亲爱的BCGSoft用户,我们非常高兴地宣布BCGControlBarProfessionalforMFC和BCGSuiteforMFCv31.2正式发布!新版本支...

雅居乐上调出售吉隆坡项目保留金,预计亏损扩大至6.64亿元

1月2日,雅居乐集团(03383.HK)发布有关出售一家附属公司股权披露交易的补充公告。此前雅居乐集团曾公告,2023年11月8日(交易时段后),集团子公司AgileRealEstateDeve...

Full text: Address by Vice Premier Ding Xuexiang&#39;s at World Economic Forum Annual Meeting 2025

DAVOS,Switzerland,Jan.21(Xinhua)--ChineseVicePremierDingXuexiangonTuesdaydeliveredasp...

手机性能好不好 GPU玄学曲线告诉你

前言各位在看测试者对手机进行评测时或许会见过“安卓玄学曲线”,所谓中的安卓玄学曲线真名为“ProfileGPURendering”。大多数情况下,在系统“开发者选项中被称为“GPU显示配置文件”或...

小迈科技 X Hologres:高可用的百亿级广告实时数仓建设

通过本文,我们将会介绍小迈科技如何通过Hologres搭建高可用的实时数仓。一、业务介绍小迈科技成立于2015年1月,是一家致力以数字化领先为优势,实现业务高质量自增长的移动互联网科技公司。始...

vue3新特征和所有的属性,方法汇总及其对应源码分析

vue3新特征汇总与源码分析(备注:vue3使用typescript编写)何为应用?constapp=Vue.createApp({})app就是一个应用。应用的配置和应用的API就是app应用...

China&#39;s stability redefines global trade in a volatile era

ContainersareunloadedatQingdaoPort,eastChina'sShandongProvince,December10,2024.[Photo/X...

QML 实现图片帧渐隐渐显轮播

前言所谓图片帧渐隐渐显轮播就是,一组图片列表,当前图片逐渐改变透明度隐藏,同时下一张图片逐渐改变透明度显示,依次循环,达到渐隐渐显的效果,该效果常用于图片展示,相比左右自动切换的轮播方式来说,这种方式...

前端惊魂夜:我竟在CSS里写出了JavaScript?

凌晨两点,写字楼里只剩下我工位上的一盏孤灯。咖啡杯见底,屏幕的光映在疲惫的眼镜片上。为了实现一个极其复杂的动态渐变效果,我翻遍了MDN文档,试遍了所有已知的CSS技巧,却始终差那么一口气。“要是CSS...

10 个派上用场的 Flutter 小部件

尝试学习一门新语言可能会令人恐惧和厌烦。很多时候,我们希望我们知道早先存在的某些功能。在今天的文章中,我将告诉你我希望早点知道的最方便的颤振小部件。SpacerSpacer创建一个可调整的空白空...

让我的 Flutter 代码整洁 10 倍的 5 种

如果你曾在Flutter中使用过SingleTickerProviderStateMixin来制作动画,猜猜怎么着?你已经使用过Mixin了——恭喜你,你已经处于一段你甚至不知道的关...

daisyUI - 主题漂亮、代码纯净!免费开源的 Tailwind CSS 组件库

漂亮有特色的CSS组件库,组件代码非常简洁,也支持深度定制主题、定制组件,可以搭配Vue/React等框架使用。关于daisyUIdaisyUI是一款极为流行的CSSUI组件库,...