YKT.AI.TotalApi 7.0.0

dotnet add package YKT.AI.TotalApi --version 7.0.0                
NuGet\Install-Package YKT.AI.TotalApi -Version 7.0.0                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="YKT.AI.TotalApi" Version="7.0.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add YKT.AI.TotalApi --version 7.0.0                
#r "nuget: YKT.AI.TotalApi, 7.0.0"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install YKT.AI.TotalApi as a Cake Addin
#addin nuget:?package=YKT.AI.TotalApi&version=7.0.0

// Install YKT.AI.TotalApi as a Cake Tool
#tool nuget:?package=YKT.AI.TotalApi&version=7.0.0                

YKT.AI.TotalApi 接口全家桶快速对接

** 升级说明 **

2024/5/31 上线第一版,集成了Chatgpt、通义千问ai接口 2024/6/5 升级Chatgpt、通义千问模块可选入参,同时上线文心一言ai接口 2024/6/6 上线智普ai接口 2024/6/7 上线Kimi ai接口

目前YKT.AI.TotalApi集成了Chatgpt、通义千问、文心一言、智普、Kimi ai接口,仅需要输入内容及AppKey即可调用。

  • 调用分为两类 1、迭代式返回,体验效果比较好 2、一次性返回,等待时间长

具体调用示例如下 第一步、引入YKT.AI.TotalApi

using YKT.AI.TotalApi; 

第二步、实例化或者ICO注入

实例化:
IAiService aiService = new AiService();
ICO注入:
builder.RegisterType<AiService>().As<IAiService>().SingleInstance();

第三步、开始调用 3.1 Chatgpt【国外技术,需要梯子】

// 初始化
aiService.Init(new YKTInitPo() {  Appkey= "chatgptkey", EnumApiChannel=EnumApiChannel.ChatGPT});
// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() { Title = "AI是最棒的", enumApiChannel = EnumApiChannel.ChatGPT });

// 迭代式返回 
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一张2024年度收益的表格及数据", enumApiChannel = EnumApiChannel.ChatGPT,Model= Model.GPT4o }))
{
    Console.Write(res);
}

Console.WriteLine(result.Data);

[========]

3.2 通义千问【国内】

//// 初始化
aiService.Init(new YKTInitPo() { Appkey = "APPKEY", EnumApiChannel = EnumApiChannel.TongYiQianWen });
// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.TongYiQianWen, Model = "qwen-turbo" });

Console.WriteLine(result.Data);

// 迭代式返回
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一张2024年度收益的表格及数据", enumApiChannel = EnumApiChannel.TongYiQianWen, Model = "qwen-turbo" }))
{
    Console.Write(res);
}

[========]

3.3 文心一言【国内】


// 初始化
aiService.Init(new YKTInitPo() { Appkey = "APPKEY", Apptoken= "Apptoken", EnumApiChannel = EnumApiChannel.WenXinYiYan });
// Appkey和Apptoken获取地址 https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application

// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() {  Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.WenXinYiYan, Model = "eb-instant"});
// 迭代式返回
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.WenXinYiYan,Model= "eb-instant" }))
{
    Console.Write(res);
}
注意:Model参数值为请求地址中后缀,例如:ernie-tiny-8k
完整请求地址:$"https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-tiny-8k?access_token={GetAccessToken()}"
Model=ernie-tiny-8k

3.4 智普【国内】


// 初始化
aiService.Init(new YKTInitPo() { Appkey = "APPKEY", EnumApiChannel = EnumApiChannel.ZhiPu });
// AppKey获取地址 https://open.bigmodel.cn/usercenter/apikeys

// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() {  Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.ZhiPu, Model = "glm-4"});
// 迭代式返回
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.ZhiPu,Model= "glm-4" }))
{
    Console.Write(res);
} 

3.5 Kimi【国内】

// 模型分别为 
//moonshot - v1 - 8k: 它是一个长度为 8k 的模型,适用于生成短文本。 
//moonshot-v1-32k: 它是一个长度为 32k 的模型,适用于生成长文本。 
//moonshot-v1-128k: 它是一个长度为 128k 的模型,适用于生成超长文本。 
// 初始化
aiService.Init(new YKTInitPo() { Appkey = "APPKEY", EnumApiChannel = EnumApiChannel.Kimi });
// AppKey获取地址 https://platform.moonshot.cn/console/api-keys

// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() {  Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.Kimi, Model = "moonshot-v1-8k"});
// 迭代式返回
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.Kimi,Model= "moonshot-v1-8k" }))
{
    Console.Write(res);
} 

3.6 腾讯混元大模型【国内】

// 模型分别为 
// 模型名称,可选值包括 hunyuan-lite、hunyuan-standard、hunyuan-standard-256K、hunyuan-pro。
// 初始化
aiService.Init(new YKTInitPo() { Appkey = "SecretId", Apptoken= "SecretKey", EnumApiChannel = EnumApiChannel.TengxunHunYuan });
//AppKey获取地址 https://console.cloud.tencent.com/cam/capi

// 一次性返回内容
var result = await aiService.ChatContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.TengxunHunYuan, Model = "hunyuan-lite" , IsStream=false});
//流式返回
await foreach (var res in aiService.ChatYeildContentAsync(new YKTResquestPo() { Title = "绘制一个汽车销售的表格及毛利率的计算公式", enumApiChannel = EnumApiChannel.TengxunHunYuan, Model = "hunyuan-lite",IsStream=true }))
{
    Console.Write(res);
}

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
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Version Downloads Last updated
7.0.0 109 7/9/2024
6.0.0 168 7/9/2024
5.0.0 113 6/27/2024
4.0.0 99 6/7/2024
3.0.0 91 6/5/2024
2.0.0 108 6/5/2024
1.0.0 108 5/31/2024