YKT.AI.TotalApi
6.0.0
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See the version list below for details.
dotnet add package YKT.AI.TotalApi --version 6.0.0
NuGet\Install-Package YKT.AI.TotalApi -Version 6.0.0
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="6.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add YKT.AI.TotalApi --version 6.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: YKT.AI.TotalApi, 6.0.0"
#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=6.0.0 // Install YKT.AI.TotalApi as a Cake Tool #tool nuget:?package=YKT.AI.TotalApi&version=6.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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 | Versions 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. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.0
- LY_ChatGPTApi (>= 5.0.5)
- Newtonsoft.Json (>= 13.0.3)
- Polly (>= 8.3.1)
- RestSharp (>= 111.2.0)
- System.Text.Json (>= 8.0.3)
- TencentCloudSDK.Common (>= 3.0.1037)
- TencentCloudSDK.Hunyuan (>= 3.0.1037)
- YKT.Lunwen (>= 1.0.0)
NuGet packages
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GitHub repositories
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