wehub-resource-sync
65 lines
2.1 KiB
C#
65 lines
2.1 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
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namespace PromptTemplates;
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public sealed class ChatLoopWithPrompt(ITestOutputHelper output) : BaseTest(output)
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{
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/// <summary>
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/// This sample demonstrates how to render a chat history to a
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/// prompt and use chat completion prompts in a loop.
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/// </summary>
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[Fact]
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public async Task ExecuteChatLoopAsPromptAsync()
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{
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var kernel = Kernel.CreateBuilder()
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.AddOpenAIChatCompletion(
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modelId: TestConfiguration.OpenAI.ChatModelId,
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apiKey: TestConfiguration.OpenAI.ApiKey)
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.Build();
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var chatHistory = new ChatHistory();
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KernelArguments arguments = new() { { "chatHistory", chatHistory } };
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string[] userMessages = [
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"What is Seattle?",
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"What is the population of Seattle?",
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"What is the area of Seattle?",
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"What is the weather in Seattle?",
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"What is the zip code of Seattle?",
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"What is the elevation of Seattle?",
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"What is the latitude of Seattle?",
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"What is the longitude of Seattle?",
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"What is the mayor of Seattle?"
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];
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foreach (var userMessage in userMessages)
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{
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chatHistory.AddUserMessage(userMessage);
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OutputLastMessage(chatHistory);
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var function = kernel.CreateFunctionFromPrompt(
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new()
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{
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Template =
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"""
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{{#each (chatHistory)}}
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<message role="{{Role}}">{{Content}}</message>
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{{/each}}
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""",
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TemplateFormat = "handlebars"
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},
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new HandlebarsPromptTemplateFactory()
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);
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var response = await kernel.InvokeAsync(function, arguments);
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chatHistory.AddAssistantMessage(response.ToString());
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OutputLastMessage(chatHistory);
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}
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}
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}
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