chore: import upstream snapshot with attribution

2026-07-13 13:21:23 +08:00
commit b957a53def
5423 changed files with 863745 additions and 0 deletions
@@ -0,0 +1,81 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ClientModel;
+using System.ClientModel.Primitives;
+using Azure.AI.OpenAI;
+using Microsoft.SemanticKernel;
+
+#pragma warning disable CA5399 // HttpClient is created without enabling CheckCertificateRevocationList
+
+namespace ChatCompletion;
+
+/// <summary>
+/// This example shows a way of using a Custom HttpClient and HttpHandler with Azure OpenAI Connector to capture
+/// the request Uri and Headers for each request.
+/// </summary>
+public sealed class AzureOpenAI_CustomClient(ITestOutputHelper output) : BaseTest(output)
+{
+    [Fact]
+    public async Task UsingCustomHttpClientWithAzureOpenAI()
+    {
+        Assert.NotNull(TestConfiguration.AzureOpenAI.Endpoint);
+        Assert.NotNull(TestConfiguration.AzureOpenAI.ChatDeploymentName);
+        Assert.NotNull(TestConfiguration.AzureOpenAI.ApiKey);
+
+        Console.WriteLine($"======== Azure Open AI - {nameof(UsingCustomHttpClientWithAzureOpenAI)} ========");
+
+        // Create an HttpClient and include your custom header(s)
+        using var myCustomHttpHandler = new MyCustomClientHttpHandler(Output);
+        using var myCustomClient = new HttpClient(handler: myCustomHttpHandler);
+        myCustomClient.DefaultRequestHeaders.Add("My-Custom-Header", "My Custom Value");
+
+        // Configure AzureOpenAIClient to use the customized HttpClient
+        var clientOptions = new AzureOpenAIClientOptions
+        {
+            Transport = new HttpClientPipelineTransport(myCustomClient),
+            NetworkTimeout = TimeSpan.FromSeconds(30),
+            RetryPolicy = new ClientRetryPolicy()
+        };
+
+        var customClient = new AzureOpenAIClient(new Uri(TestConfiguration.AzureOpenAI.Endpoint), new ApiKeyCredential(TestConfiguration.AzureOpenAI.ApiKey), clientOptions);
+
+        var kernel = Kernel.CreateBuilder()
+            .AddAzureOpenAIChatCompletion(TestConfiguration.AzureOpenAI.ChatDeploymentName, customClient)
+            .Build();
+
+        // Load semantic plugin defined with prompt templates
+        string folder = RepoFiles.SamplePluginsPath();
+
+        kernel.ImportPluginFromPromptDirectory(Path.Combine(folder, "FunPlugin"));
+
+        // Run
+        var result = await kernel.InvokeAsync(
+            kernel.Plugins["FunPlugin"]["Excuses"],
+            new() { ["input"] = "I have no homework" }
+        );
+        Console.WriteLine(result.GetValue<string>());
+
+        myCustomClient.Dispose();
+    }
+
+    /// <summary>
+    /// Normally you would use a custom HttpClientHandler to add custom logic to your custom http client
+    /// This uses the ITestOutputHelper to write the requested URI to the test output
+    /// </summary>
+    /// <param name="output">The <see cref="ITestOutputHelper"/> to write the requested URI to the test output </param>
+    private sealed class MyCustomClientHttpHandler(ITestOutputHelper output) : HttpClientHandler
+    {
+        protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
+        {
+            output.WriteLine($"Requested URI: {request.RequestUri}");
+
+            request.Headers.Where(h => h.Key != "Authorization")
+                .ToList()
+                .ForEach(h => output.WriteLine($"{h.Key}: {string.Join(", ", h.Value)}"));
+            output.WriteLine("--------------------------------");
+
+            // Add custom logic here
+            return await base.SendAsync(request, cancellationToken);
+        }
+    }
+}