chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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using System.Reflection;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Microsoft.SemanticKernel.Plugins.Core;
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using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
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namespace Examples;
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/// <summary>
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/// This example demonstrates how to serialize prompts as described at
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/// https://learn.microsoft.com/semantic-kernel/prompts/saving-prompts-as-files
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/// </summary>
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public class SerializingPrompts(ITestOutputHelper output) : LearnBaseTest([
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"Can you send an approval to the marketing team?",
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"That is all, thanks."], output)
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{
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[Fact]
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public async Task RunAsync()
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{
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Console.WriteLine("======== Serializing Prompts ========");
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string? endpoint = TestConfiguration.AzureOpenAI.Endpoint;
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string? modelId = TestConfiguration.AzureOpenAI.ChatModelId;
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string? apiKey = TestConfiguration.AzureOpenAI.ApiKey;
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if (endpoint is null || modelId is null || apiKey is null)
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{
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Console.WriteLine("Azure OpenAI credentials not found. Skipping example.");
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return;
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}
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var builder = Kernel.CreateBuilder()
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.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);
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builder.Plugins.AddFromType<ConversationSummaryPlugin>();
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Kernel kernel = builder.Build();
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// Load prompts
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var prompts = kernel.CreatePluginFromPromptDirectory("./../../../Plugins/Prompts");
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// Load prompt from YAML
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using StreamReader reader = new(Assembly.GetExecutingAssembly().GetManifestResourceStream("Resources.getIntent.prompt.yaml")!);
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KernelFunction getIntent = kernel.CreateFunctionFromPromptYaml(
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await reader.ReadToEndAsync(),
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promptTemplateFactory: new HandlebarsPromptTemplateFactory()
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);
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// Create choices
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List<string> choices = ["ContinueConversation", "EndConversation"];
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// Create few-shot examples
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List<ChatHistory> fewShotExamples =
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[
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[
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new ChatMessageContent(AuthorRole.User, "Can you send a very quick approval to the marketing team?"),
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new ChatMessageContent(AuthorRole.System, "Intent:"),
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new ChatMessageContent(AuthorRole.Assistant, "ContinueConversation")
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],
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[
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new ChatMessageContent(AuthorRole.User, "Can you send the full update to the marketing team?"),
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new ChatMessageContent(AuthorRole.System, "Intent:"),
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new ChatMessageContent(AuthorRole.Assistant, "EndConversation")
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]
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];
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// Create chat history
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ChatHistory history = [];
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// Start the chat loop
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Console.Write("User > ");
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string? userInput;
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while ((userInput = Console.ReadLine()) is not null)
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{
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// Invoke handlebars prompt
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var intent = await kernel.InvokeAsync(
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getIntent,
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new()
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{
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{ "request", userInput },
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{ "choices", choices },
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{ "history", history },
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{ "fewShotExamples", fewShotExamples }
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}
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);
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// End the chat if the intent is "Stop"
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if (intent.ToString() == "EndConversation")
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{
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break;
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}
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// Get chat response
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var chatResult = kernel.InvokeStreamingAsync<StreamingChatMessageContent>(
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prompts["chat"],
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new()
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{
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{ "request", userInput },
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{ "history", string.Join("\n", history.Select(x => x.Role + ": " + x.Content)) }
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}
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);
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// Stream the response
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string message = "";
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await foreach (var chunk in chatResult)
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{
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if (chunk.Role.HasValue)
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{
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Console.Write(chunk.Role + " > ");
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}
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message += chunk;
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Console.Write(chunk);
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}
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Console.WriteLine();
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// Append to history
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history.AddUserMessage(userInput);
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history.AddAssistantMessage(message);
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// Get user input again
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Console.Write("User > ");
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}
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}
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}
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