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Init 初始化项目
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‎.gitattributes

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# Set default behavior to automatically normalize line endings.
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###############################################################################
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* text=auto
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# Set default behavior for command prompt diff.
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#
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# This is need for earlier builds of msysgit that does not have it on by
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# default for csharp files.
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# Note: This is only used by command line
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###############################################################################
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#*.cs diff=csharp
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###############################################################################
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# Set the merge driver for project and solution files
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#
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# Merging from the command prompt will add diff markers to the files if there
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# are conflicts (Merging from VS is not affected by the settings below, in VS
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# the diff markers are never inserted). Diff markers may cause the following
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# file extensions to fail to load in VS. An alternative would be to treat
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# these files as binary and thus will always conflict and require user
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# intervention with every merge. To do so, just uncomment the entries below
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###############################################################################
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#*.sln merge=binary
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#*.csproj merge=binary
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#*.vbproj merge=binary
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#*.vcxproj merge=binary
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#*.vcproj merge=binary
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#*.dbproj merge=binary
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#*.fsproj merge=binary
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#*.lsproj merge=binary
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#*.wixproj merge=binary
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#*.modelproj merge=binary
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#*.sqlproj merge=binary
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#*.wwaproj merge=binary
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###############################################################################
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# behavior for image files
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#
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# image files are treated as binary by default.
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###############################################################################
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#*.jpg binary
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#*.png binary
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#*.gif binary
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###############################################################################
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# diff behavior for common document formats
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#
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# Convert binary document formats to text before diffing them. This feature
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# is only available from the command line. Turn it on by uncommenting the
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# entries below.
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###############################################################################
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#*.doc diff=astextplain
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#*.DOC diff=astextplain
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#*.docx diff=astextplain
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#*.DOCX diff=astextplain
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#*.dot diff=astextplain
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#*.DOT diff=astextplain
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#*.pdf diff=astextplain
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#*.PDF diff=astextplain
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#*.rtf diff=astextplain
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#*.RTF diff=astextplain

‎README.md

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SKdemo示例
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主要介绍了SK插件使用
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原生函数
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嵌套函数
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Plan规划
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意图识别
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依赖注入等SK基础功能

‎Xzy.SK.sln

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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio Version 17
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VisualStudioVersion = 17.7.34031.279
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MinimumVisualStudioVersion = 10.0.40219.1
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Xzy.SK.Api", "src\Xzy.SK.Api\Xzy.SK.Api.csproj", "{B7138D00-A84E-4B56-821C-A71B836440E4}"
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Xzy.SK.Domain", "src\Xzy.SK.Domain\Xzy.SK.Domain.csproj", "{7730A0E2-25B1-483F-8F7B-00DEBDB7135B}"
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Xzy.SK.Test", "src\Xzy.SK.Test\Xzy.SK.Test.csproj", "{161E3478-8E2C-44FA-88C1-A3C0A010CEA2}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|Any CPU = Debug|Any CPU
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Release|Any CPU = Release|Any CPU
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EndGlobalSection
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GlobalSection(ProjectConfigurationPlatforms) = postSolution
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{B7138D00-A84E-4B56-821C-A71B836440E4}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{B7138D00-A84E-4B56-821C-A71B836440E4}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{B7138D00-A84E-4B56-821C-A71B836440E4}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{B7138D00-A84E-4B56-821C-A71B836440E4}.Release|Any CPU.Build.0 = Release|Any CPU
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{7730A0E2-25B1-483F-8F7B-00DEBDB7135B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{7730A0E2-25B1-483F-8F7B-00DEBDB7135B}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{7730A0E2-25B1-483F-8F7B-00DEBDB7135B}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{7730A0E2-25B1-483F-8F7B-00DEBDB7135B}.Release|Any CPU.Build.0 = Release|Any CPU
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{161E3478-8E2C-44FA-88C1-A3C0A010CEA2}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{161E3478-8E2C-44FA-88C1-A3C0A010CEA2}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{161E3478-8E2C-44FA-88C1-A3C0A010CEA2}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{161E3478-8E2C-44FA-88C1-A3C0A010CEA2}.Release|Any CPU.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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EndGlobalSection
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GlobalSection(ExtensibilityGlobals) = postSolution
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SolutionGuid = {68D21C10-BBBC-4C5B-ADAA-E88C2B026776}
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EndGlobalSection
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EndGlobal

‎src/Xzy.SK.Api/Controllers/OpenAIController.cs

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using Azure.AI.OpenAI;
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using Azure;
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using Microsoft.AspNetCore.Http;
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using Microsoft.AspNetCore.Mvc;
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using Microsoft.SemanticKernel;
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using System;
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using System.IO;
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using System.Threading.Tasks;
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using Xzy.SK.Domain.Common.Options;
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using Xzy.SK.Domain.Domain.DTO.Chat;
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using System.Linq;
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using System.Collections.Generic;
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namespace Xzy.SK.Api.Controllers
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{
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[Route("api/[controller]")]
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[ApiController]
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public class OpenAIController : ControllerBase
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{
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public OpenAIController()
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{
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}
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/// <summary>
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/// 测试翻译
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/// </summary>
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/// <param name="input"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Translate(string msg)
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{
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string prompt = $"Translate this into English:\r\n{msg}\r\n";
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OpenAIClient client = new OpenAIClient(new Uri(OpenAIOptions.Endpoint), new AzureKeyCredential(OpenAIOptions.Key), new OpenAIClientOptions());
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ChatCompletionsOptions completionsOptions = new ChatCompletionsOptions();
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completionsOptions.Messages.Add(new ChatMessage("user", prompt));
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completionsOptions.MaxTokens = 300;
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completionsOptions.Temperature = 0;
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var result= await client.GetChatCompletionsAsync(OpenAIOptions.Model, completionsOptions);
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if (result != null)
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{
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return Ok(result.Value.Choices.First().Message.Content);
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}
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else
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{
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return Ok();
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}
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}
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}
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}

‎src/Xzy.SK.Api/Controllers/SKController.cs

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using Microsoft.AspNetCore.Http;
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using Microsoft.AspNetCore.Mvc;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Orchestration;
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using Microsoft.SemanticKernel.Planning;
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using Microsoft.SemanticKernel.SkillDefinition;
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using Microsoft.SemanticKernel.Skills.Core;
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using Newtonsoft.Json;
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using System;
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using System.IO;
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using System.Text.Json;
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using System.Threading.Tasks;
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using Xzy.SK.Api.plugins;
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using Xzy.SK.Api.plugins.MathPlugin;
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using Xzy.SK.Domain.Common.Model;
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using Xzy.SK.Domain.Common.Options;
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namespace Xzy.SK.Api.Controllers
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{
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/// <summary>
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/// SK
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/// </summary>
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[Route("api/[controller]/[action]")]
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[ApiController]
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public class SKController : ControllerBase
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{
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private readonly IKernel _kernel;
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public SKController(IKernel kernel)
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{
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_kernel = kernel;
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}
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/// <summary>
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/// 测试翻译
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/// </summary>
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/// <param name="input"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Translate(string input,string language)
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{
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//导入本地技能
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var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "plugins");
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var writerPlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "Translate");
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var result = await _kernel.RunAsync(input, writerPlugin[language]);
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return Ok(result.Result);
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}
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/// <summary>
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/// 测试计算
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/// </summary>
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/// <param name="num1"></param>
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/// <param name="num2"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Calculate(string num1, string num2)
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{
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//导入本地技能，多参数
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var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "plugins");
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var calculatePlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "Calculate");
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var variables = new ContextVariables
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{
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["num1"] = num1,
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["num2"] = num2
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};
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var result = await _kernel.RunAsync(variables, calculatePlugin["Addition"]);
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return Ok(result.Result);
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}
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/// <summary>
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/// 原生测试
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/// </summary>
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/// <param name="num1"></param>
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/// <param name="num2"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Native(string num1, string num2)
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{
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//导入原生函数
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var mathPlugin = _kernel.ImportSkill(new MathSK(), "MathPlugin");
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var variables = new ContextVariables
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{
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["num1"] = num1,
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["num2"] = num2
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};
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var result = await _kernel.RunAsync(variables, mathPlugin["Subtraction"]);
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return Ok(result.Result);
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}
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/// <summary>
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/// 嵌套函数
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/// </summary>
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/// <param name="num1"></param>
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/// <param name="num2"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Nested(string num1, string num2)
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{
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//嵌套函数使用，在prompty中使用 {{Plugin.Fun}} 可以嵌套调用
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var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "plugins");
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var calculatePlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "Calculate");
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//MathPlugin Multiplication 中可以嵌套其他函数
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var mathPlugin = _kernel.ImportSkill(new MathSK(), "MathPlugin");
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var variables = new ContextVariables
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{
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["num1"] = num1,
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["num2"] = num2
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};
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var result = await _kernel.RunAsync(variables, calculatePlugin["Multiplication"]);
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return Ok(result.Result);
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}
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/// <summary>
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/// 原生嵌套，通过自然语义先找到最大和最小的2个值，然后用最大值减去最小值得到结果返回
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/// </summary>
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/// <param name="msg"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> NativeNested(string msg)
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{
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var NativeNested = _kernel.ImportSkill(new NativeNested(_kernel), "NativeNested");
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var result = await _kernel.RunAsync(msg, NativeNested["Test"]);
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return Ok(result.Result);
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}
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/// <summary>
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/// 计划
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/// </summary>
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/// <param name="msg">小明有7个冰淇淋，我有2个冰淇淋，他比我多几个冰淇淋？</param>
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/// <param name="msg">小明有7个冰淇淋，我有2个冰淇淋，我们一共有几个冰淇淋？</param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Plan(string msg)
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{
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var planner = new SequentialPlanner(_kernel);
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var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "plugins");
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var calculatePlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "Calculate");
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var plan = await planner.CreatePlanAsync(msg);
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Console.WriteLine("Plan:\n");
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Console.WriteLine(JsonConvert.SerializeObject(plan));
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var result = (await _kernel.RunAsync(plan)).Result;
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return Ok(result);
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}
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/// <summary>
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/// 意图识别
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/// </summary>
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/// <param name="msg"></param>
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/// <returns></returns>
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[HttpPost]
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public async Task<IActionResult> Intent(string msg)
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{
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//对话摘要 SK.Skills.Core 核心技能
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_kernel.ImportSkill(new ConversationSummarySkill(_kernel), "ConversationSummarySkill");
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var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "plugins");
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var intentPlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "BasePlugin");
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var travelPlugin = _kernel
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.ImportSemanticSkillFromDirectory(pluginsDirectory, "Travel");
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var NativeNested = _kernel.ImportSkill(new UtilsPlugin(_kernel), "UtilsPlugin");
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var getIntentVariables = new ContextVariables
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{
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["input"] = msg,
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["options"] = "Attractions, Delicacy,Traffic,Weather,SendEmail"
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};
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string intent = (await _kernel.RunAsync(getIntentVariables, intentPlugin["GetIntent"])).Result.Trim();
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ISKFunction MathFunction;
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switch (intent)
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{
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case "Attractions":
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MathFunction = _kernel.Skills.GetFunction("Travel", "Attractions");
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break;
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case "Delicacy":
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MathFunction = _kernel.Skills.GetFunction("Travel", "Delicacy");
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break;
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case "Traffic":
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MathFunction = _kernel.Skills.GetFunction("Travel", "Traffic");
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break;
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case "Weather":
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MathFunction = _kernel.Skills.GetFunction("Travel", "Weather");
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break;
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case "SendEmail":
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var sendEmailVariables = new ContextVariables
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{
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["input"] = msg,
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["example"] = JsonConvert.SerializeObject(new { send_user = "xzy", receiver_user = "xzy", body = "hello" })
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};
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msg = (await _kernel.RunAsync(sendEmailVariables, intentPlugin["JSON"])).Result;
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MathFunction = _kernel.Skills.GetFunction("UtilsPlugin", "SendEmail");
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break;
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default:
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return Ok("对不起我不知道");
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}
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var result = await _kernel.RunAsync(msg, MathFunction);
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return Ok(result.Result);
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}
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}
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}

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