chore: import upstream snapshot with attribution

2026-07-13 13:21:23 +08:00
commit b957a53def
5423 changed files with 863745 additions and 0 deletions
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ComponentModel;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using Microsoft.SemanticKernel;
+using Microsoft.SemanticKernel.Agents;
+using OpenAI;
+using OpenAI.Chat;
+
+var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
+var model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "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 SKAgentAsync();
+await SKAgent_As_AFAgentAsync();
+await AFAgentAsync();
+
+async Task SKAgentAsync()
+{
+    var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
+
+    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");
+
+    await foreach (var item in agent.InvokeAsync(userInput))
+    {
+        Console.Write(item.Message);
+    }
+}
+
+// Example of Semantic Kernel Agent code converted as an Agent Framework Agent
+async Task SKAgent_As_AFAgentAsync()
+{
+    Console.WriteLine("\n=== SK Agent Converted as an AF Agent ===\n");
+
+    var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
+
+    ChatCompletionAgent skAgent = 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).
+    skAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
+
+#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.
+    var agent = skAgent.AsAIAgent();
+#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.
+
+    var thread = await agent.CreateSessionAsync();
+    var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
+
+    var result = await agent.RunAsync(userInput, thread, agentOptions);
+    Console.WriteLine(result);
+
+    Console.WriteLine("---");
+    await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
+    {
+        Console.Write(update);
+    }
+
+    Console.WriteLine("\n---\n");
+    await foreach (var item in skAgent.InvokeAsync(userInput))
+    {
+        Console.Write(item.Message);
+    }
+}
+
+async Task AFAgentAsync()
+{
+    var agent = new OpenAIClient(apiKey).GetChatClient(model).AsAIAgent(
+        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);
+}