chore: import upstream snapshot with attribution
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net10.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
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<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
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<PackageReference Include="Microsoft.Extensions.DependencyInjection" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
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<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
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<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
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</ItemGroup>
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</Project>
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+82
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// Copyright (c) Microsoft. All rights reserved.
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.DependencyInjection;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using OpenAI.Chat;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
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var userInput = "Tell me a joke about a pirate.";
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Console.WriteLine($"User Input: {userInput}");
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await SKAgent();
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await SKAgent_As_AFAgentAsync();
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await AFAgent();
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async Task SKAgent()
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{
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Console.WriteLine("\n=== SK Agent ===\n");
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var serviceCollection = new ServiceCollection();
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serviceCollection.AddKernel().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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serviceCollection.AddTransient((sp) => new ChatCompletionAgent()
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{
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Kernel = sp.GetRequiredService<Kernel>(),
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Name = "Joker",
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Instructions = "You are good at telling jokes."
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});
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await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
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var agent = serviceProvider.GetRequiredService<ChatCompletionAgent>();
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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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// Example of Semantic Kernel Agent code converted as an Agent Framework Agent
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async Task SKAgent_As_AFAgentAsync()
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{
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Console.WriteLine("\n=== SK Agent Converted as an AF Agent ===\n");
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var serviceCollection = new ServiceCollection();
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serviceCollection.AddKernel().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
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serviceCollection.AddTransient((sp) => new ChatCompletionAgent()
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{
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Kernel = sp.GetRequiredService<Kernel>(),
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Name = "Joker",
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Instructions = "You are good at telling jokes."
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}.AsAIAgent());
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#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
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await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
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var agent = serviceProvider.GetRequiredService<AIAgent>();
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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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async Task AFAgent()
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{
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Console.WriteLine("\n=== AF Agent ===\n");
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var serviceCollection = new ServiceCollection();
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serviceCollection.AddTransient<AIAgent>((sp) => new AzureOpenAIClient(new(endpoint), new AzureCliCredential())
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.GetChatClient(deploymentName)
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.AsAIAgent(name: "Joker", instructions: "You are good at telling jokes."));
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await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
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var agent = serviceProvider.GetRequiredService<AIAgent>();
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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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