chore: import upstream snapshot with attribution
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+23
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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.Abstractions" />
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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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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.AI;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using Microsoft.SemanticKernel.Connectors.OpenAI;
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using OpenAI;
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using OpenAI.Chat;
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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 model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "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 SKAgentAsync();
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await SKAgent_As_AFAgentAsync();
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await AFAgentAsync();
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// Example of Semantic Kernel Agent code
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async Task SKAgentAsync()
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{
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Console.WriteLine("\n=== SK Agent ===\n");
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var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
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var agent = new ChatCompletionAgent()
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{
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Kernel = builder.Build(),
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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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var thread = new ChatHistoryAgentThread();
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var settings = new OpenAIPromptExecutionSettings() { MaxTokens = 1000 };
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var agentOptions = new AgentInvokeOptions() { KernelArguments = new(settings) };
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await foreach (var result in agent.InvokeAsync(userInput, thread, agentOptions))
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{
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Console.WriteLine(result.Message);
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}
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Console.WriteLine("---");
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await foreach (var update in agent.InvokeStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update.Message);
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}
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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 builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
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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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var agent = new ChatCompletionAgent()
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{
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Kernel = builder.Build(),
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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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var thread = await agent.CreateSessionAsync();
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var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
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var result = await agent.RunAsync(userInput, thread, agentOptions);
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Console.WriteLine(result);
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Console.WriteLine("---");
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await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update);
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}
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}
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// Example of a fully migrated Agent Framework Agent code
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async Task AFAgentAsync()
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{
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Console.WriteLine("\n=== AF Agent ===\n");
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var agent = new OpenAIClient(apiKey).GetChatClient(model)
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.AsAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
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var thread = await agent.CreateSessionAsync();
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var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
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var result = await agent.RunAsync(userInput, thread, agentOptions);
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Console.WriteLine(result);
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Console.WriteLine("---");
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await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update);
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}
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}
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+23
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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.Abstractions" />
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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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@@ -0,0 +1,98 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Microsoft.Agents.AI;
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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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using OpenAI.Chat;
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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 model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "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 SKAgentAsync();
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await SKAgent_As_AFAgentAsync();
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await AFAgentAsync();
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async Task SKAgentAsync()
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{
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var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, 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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await foreach (var item in agent.InvokeAsync(userInput))
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{
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Console.Write(item.Message);
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}
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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 builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
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ChatCompletionAgent skAgent = 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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skAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
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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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var agent = skAgent.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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var thread = await agent.CreateSessionAsync();
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var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
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var result = await agent.RunAsync(userInput, thread, agentOptions);
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Console.WriteLine(result);
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Console.WriteLine("---");
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await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update);
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}
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Console.WriteLine("\n---\n");
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await foreach (var item in skAgent.InvokeAsync(userInput))
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{
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Console.Write(item.Message);
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}
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}
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async Task AFAgentAsync()
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{
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var agent = new OpenAIClient(apiKey).GetChatClient(model).AsAIAgent(
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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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+23
@@ -0,0 +1,23 @@
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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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@@ -0,0 +1,81 @@
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.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;
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using OpenAI.Chat;
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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 model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "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 SKAgentAsync();
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await SKAgent_As_AFAgentAsync();
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await AFAgentAsync();
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async Task SKAgentAsync()
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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().AddOpenAIChatClient(model, apiKey);
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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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await foreach (var item in agent.InvokeAsync(userInput))
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{
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Console.WriteLine(item.Message);
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}
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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().AddOpenAIChatClient(model, apiKey);
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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<AIAgent>((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 AFAgentAsync()
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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 OpenAIClient(apiKey)
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.GetChatClient(model)
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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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Reference in New Issue
Block a user