// Copyright (c) Microsoft. All rights reserved. using System.ComponentModel; using Azure.AI.OpenAI; using Azure.Identity; using Microsoft.Extensions.AI; using Microsoft.SemanticKernel; using Microsoft.SemanticKernel.Agents; using OpenAI; var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o"; var userInput = "What is the weather like in Amsterdam?"; Console.WriteLine($"User Input: {userInput}"); [KernelFunction] [Description("Get the weather for a given location.")] static string GetWeather([Description("The location to get the weather for.")] string location) => $"The weather in {location} is cloudy with a high of 15°C."; await SKAgent(); await AFAgent(); async Task SKAgent() { var builder = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential()); ChatCompletionAgent agent = new() { Instructions = "You are a helpful assistant", Kernel = builder.Build(), Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }), }; // Initialize plugin and add to the agent's Kernel (same as direct Kernel usage). agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)])); Console.WriteLine("\n=== SK Agent Response ===\n"); var result = await agent.InvokeAsync(userInput).FirstAsync(); Console.WriteLine(result.Message); } async Task AFAgent() { var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName) .CreateAIAgent(instructions: "You are a helpful assistant", tools: [AIFunctionFactory.Create(GetWeather)]); Console.WriteLine("\n=== AF Agent Response ===\n"); var result = await agent.RunAsync(userInput); Console.WriteLine(result); }