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.NET: Adding Semantic Kernel - Migration Samples (#499)
* Guidance * Guidance * WIP Migration Preps * Move to single file projects * Update guidance code and final adjustments to ensure all feature compatibility * Move from demos to samples * Address format * Address chat client pipeline order * Update project naming * Revisition on README * Remove unused ctor * Address feedback * Address feedback * Address merge conflict fix * Address SK versioning * Address folder naming * Address feedback
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// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Microsoft.Extensions.AI;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using OpenAI;
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var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
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var modelId = System.Environment.GetEnvironmentVariable("OPENAI_MODELID") ?? "gpt-4o";
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var userInput = "What is the weather like in Amsterdam?";
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Console.WriteLine($"User Input: {userInput}");
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[KernelFunction]
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[Description("Get the weather for a given location.")]
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static string GetWeather([Description("The location to get the weather for.")] string location)
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=> $"The weather in {location} is cloudy with a high of 15°C.";
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await SKAgent();
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await AFAgent();
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async Task SKAgent()
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{
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var builder = Kernel.CreateBuilder().AddOpenAIChatClient(modelId, apiKey);
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ChatCompletionAgent agent = new()
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{
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Instructions = "You are a helpful assistant",
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Kernel = builder.Build(),
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Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
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};
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// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
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agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
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Console.WriteLine("\n=== SK Agent Response ===\n");
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var result = await agent.InvokeAsync(userInput).FirstAsync();
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Console.WriteLine(result.Message);
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}
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async Task AFAgent()
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{
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var agent = new OpenAIClient(apiKey).GetChatClient(modelId).CreateAIAgent(
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instructions: "You are a helpful assistant",
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tools: [AIFunctionFactory.Create(GetWeather)]);
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Console.WriteLine("\n=== AF Agent Response ===\n");
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var result = await agent.RunAsync(userInput);
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Console.WriteLine(result);
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}
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