功能更新

SemanticKernelStudy.Test/GlobalUsing.cs

@@ -22,6 +22,8 @@ global using Microsoft.Extensions.Options;
 global using Microsoft.Extensions.DependencyInjection;
 global using Microsoft.Extensions.Hosting;
 
+global using Microsoft.Extensions.AI;
+
 global using Microsoft.SemanticKernel;
 global using Microsoft.SemanticKernel.AudioToText;
 global using Microsoft.SemanticKernel.ChatCompletion;
@@ -46,3 +48,5 @@ global using Microsoft.SemanticKernel.Agents.Extensions;
 global using Microsoft.SemanticKernel.Agents.Chat;
 global using Microsoft.SemanticKernel.Agents.Serialization;
 global using Microsoft.SemanticKernel.Agents.OpenAI;
+
+global using Xunit.Abstractions;

SemanticKernelStudy.Test/KernelTest.cs

@@ -0,0 +1,43 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+using Microsoft.Extensions.AI;
+
+namespace SemanticKernelStudy.Test
+{
+    public class SemanticKernelTest
+    {
+        private readonly ITestOutputHelper _output;
+        public SemanticKernelTest(ITestOutputHelper output)
+        {
+            _output = output;
+        }
+
+        [Fact]
+        public async Task Use_SemanticKernel_Test()
+        {
+            var kernelBuilder = Kernel.CreateBuilder();
+
+            //添加AI服务
+            kernelBuilder.AddOllamaChatClient("qwen3:0.6b", new Uri("http://localhost:11434/v1"), "ollamaService");
+
+            kernelBuilder.Plugins.AddFromType<TimePlugin>();
+
+            //添加企业级服务(日志、过滤器等)
+            kernelBuilder.Services.AddLogging(services => services.AddConsole().SetMinimumLevel(LogLevel.Trace));
+
+            Kernel kernel = kernelBuilder.Build();
+
+            FunctionResult d = await kernel.InvokePromptAsync("你好");
+
+            ChatResponse? dd = d.GetValue<ChatResponse>();
+
+            var t = dd?.Messages.First().Text;
+
+            _output.WriteLine(t);
+        }
+    }
+}

SemanticKernelStudy.Test/UseXunit.cs

@@ -1,37 +1,20 @@
-using System.Threading.Tasks;
+namespace SemanticKernelStudy.Test;
 
-using Microsoft.Extensions.AI;
-
-namespace SemanticKernelStudy.Test
+public class UseXunit
 {
-    public class UseXunit
+    private readonly ITestOutputHelper _output;
+    public UseXunit(ITestOutputHelper output)
     {
-        [Fact]
-        public void Test1()
-        {
-            Assert.True(true,"使用 xUnit 2 框架！");
-        }
-
-        [Fact]
-        public async Task Test2() 
-        {
-            var kernelBuilder = Kernel.CreateBuilder();
-
-            //添加AI服务
-            kernelBuilder.AddOllamaChatClient("qwen3:0.6b", new Uri("http://localhost:11434/v1"), "ollamaService");
-
-            kernelBuilder.Plugins.AddFromType<TimePlugin>();
-
-            //添加企业级服务(日志、过滤器等)
-            kernelBuilder.Services.AddLogging(services => services.AddConsole().SetMinimumLevel(LogLevel.Trace));
-
-            Kernel kernel = kernelBuilder.Build();
+        _output = output;
+    }
 
-            FunctionResult d = await kernel.InvokePromptAsync("你好");
+    [Fact]
+    public void UseXunitFramwork_Test()
+    {
+        var msg = "使用 xUnit 2 单元测试框架！";
 
-            ChatResponse? dd = d.GetValue<ChatResponse>();
+        _output.WriteLine(msg);
 
-            var t = dd?.Messages.First().Text;
-        }
+        Assert.True(true,msg);
     }
 }

SemanticKernelStudy.lutconfig

@@ -0,0 +1,6 @@
+<LUTConfig Version="1.0">
+  <Repository />
+  <ParallelBuilds>true</ParallelBuilds>
+  <ParallelTestRuns>true</ParallelTestRuns>
+  <TestCaseTimeout>180000</TestCaseTimeout>
+</LUTConfig>