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
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+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.SemanticKernel;
+using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
+using Microsoft.SemanticKernel.PromptTemplates.Liquid;
+using xRetry;
+
+namespace PromptTemplates;
+
+// This example shows how to use multiple prompt template formats.
+public class MultiplePromptTemplates(ITestOutputHelper output) : BaseTest(output)
+{
+    /// <summary>
+    /// Show how to combine multiple prompt template factories.
+    /// </summary>
+    [RetryTheory(typeof(HttpOperationException))]
+    [InlineData("semantic-kernel", "Hello AI, my name is {{$name}}. What is the origin of my name?", "Paz")]
+    [InlineData("handlebars", "Hello AI, my name is {{name}}. What is the origin of my name?", "Mira")]
+    [InlineData("liquid", "Hello AI, my name is {{name}}. What is the origin of my name?", "Aoibhinn")]
+    public Task InvokeDifferentPromptTypes(string templateFormat, string prompt, string name)
+    {
+        Console.WriteLine($"======== {nameof(MultiplePromptTemplates)} ========");
+
+        Kernel kernel = Kernel.CreateBuilder()
+            .AddAzureOpenAIChatCompletion(
+                deploymentName: TestConfiguration.AzureOpenAI.ChatDeploymentName,
+                endpoint: TestConfiguration.AzureOpenAI.Endpoint,
+                serviceId: "AzureOpenAIChat",
+                apiKey: TestConfiguration.AzureOpenAI.ApiKey,
+                modelId: TestConfiguration.AzureOpenAI.ChatModelId)
+            .Build();
+
+        var promptTemplateFactory = new AggregatorPromptTemplateFactory(
+            new KernelPromptTemplateFactory(),
+            new HandlebarsPromptTemplateFactory(),
+            new LiquidPromptTemplateFactory());
+
+        return RunPromptAsync(kernel, prompt, name, templateFormat, promptTemplateFactory);
+    }
+
+    private async Task RunPromptAsync(Kernel kernel, string prompt, string name, string templateFormat, IPromptTemplateFactory promptTemplateFactory)
+    {
+        Console.WriteLine($"======== {templateFormat} : {prompt} ========");
+
+        var function = kernel.CreateFunctionFromPrompt(
+            promptConfig: new PromptTemplateConfig()
+            {
+                Template = prompt,
+                TemplateFormat = templateFormat,
+                Name = "MyFunction",
+            },
+            promptTemplateFactory: promptTemplateFactory
+        );
+
+        var arguments = new KernelArguments()
+        {
+            { "name", name }
+        };
+
+        var result = await kernel.InvokeAsync(function, arguments);
+        Console.WriteLine(result.GetValue<string>());
+    }
+}