wehub-resource-sync
99 lines
3.2 KiB
C#
99 lines
3.2 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.Connectors.OpenAI;
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using Plugins;
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namespace Examples;
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/// <summary>
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/// This example demonstrates how to create native functions for AI to call as described at
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/// https://learn.microsoft.com/semantic-kernel/agents/plugins/using-the-KernelFunction-decorator
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/// </summary>
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public class CreatingFunctions(ITestOutputHelper output) : LearnBaseTest(["What is 49 diivided by 37?"], 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("======== Creating native functions ========");
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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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// <RunningNativeFunction>
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var builder = Kernel.CreateBuilder()
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.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);
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builder.Plugins.AddFromType<MathPlugin>();
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Kernel kernel = builder.Build();
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// Test the math plugin
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double answer = await kernel.InvokeAsync<double>(
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"MathPlugin", "Sqrt", new()
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{
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{ "number1", 12 }
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});
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Console.WriteLine($"The square root of 12 is {answer}.");
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// </RunningNativeFunction>
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// Create chat history
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ChatHistory history = [];
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// <Chat>
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// Get chat completion service
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var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();
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// Start the conversation
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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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history.AddUserMessage(userInput);
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// Enable auto function calling
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OpenAIPromptExecutionSettings openAIPromptExecutionSettings = new()
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{
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FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()
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};
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// Get the response from the AI
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var result = chatCompletionService.GetStreamingChatMessageContentsAsync(
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history,
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executionSettings: openAIPromptExecutionSettings,
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kernel: kernel);
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// Stream the results
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string fullMessage = "";
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var first = true;
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await foreach (var content in result)
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{
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if (content.Role.HasValue && first)
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{
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Console.Write("Assistant > ");
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first = false;
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}
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Console.Write(content.Content);
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fullMessage += content.Content;
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}
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Console.WriteLine();
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// Add the message from the agent to the chat history
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history.AddAssistantMessage(fullMessage);
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// Get user input again
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Console.Write("User > ");
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}
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// </Chat>
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}
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}
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