chore: import upstream snapshot with attribution

dotnet/samples/AgentFrameworkMigration/AzureOpenAI/Step04_ToolCall_WithOpenAPI/Program.cs

@@ -0,0 +1,66 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use an Agent with function tools provided via an OpenAPI spec with both Semantic Kernel and Agent Framework.
+
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using Microsoft.SemanticKernel;
+using Microsoft.SemanticKernel.Agents;
+using Microsoft.SemanticKernel.Plugins.OpenApi;
+using OpenAI.Chat;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+await SKAgent();
+await AFAgent();
+
+async Task SKAgent()
+{
+    Console.WriteLine("\n=== SK Agent ===\n");
+
+    // Create a kernel with an Azure OpenAI chat client.
+    var kernel = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential()).Build();
+
+    // Load the OpenAPI Spec from a file.
+    var plugin = await kernel.ImportPluginFromOpenApiAsync("github", "OpenAPISpec.json");
+
+    // Create the agent, and provide the kernel with the OpenAPI function tools to the agent.
+    var agent = new ChatCompletionAgent()
+    {
+        Kernel = kernel,
+        Instructions = "You are a helpful assistant",
+        Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
+    };
+
+    // Run the agent with the OpenAPI function tools.
+    await foreach (var result in agent.InvokeAsync("Please list the names, colors and descriptions of all the labels available in the microsoft/agent-framework repository on github."))
+    {
+        Console.WriteLine(result.Message);
+    }
+}
+
+async Task AFAgent()
+{
+    Console.WriteLine("\n=== AF Agent ===\n");
+
+    // Load the OpenAPI Spec from a file.
+    KernelPlugin plugin = await OpenApiKernelPluginFactory.CreateFromOpenApiAsync("github", "OpenAPISpec.json");
+
+    // Convert the Semantic Kernel plugin to Agent Framework function tools.
+    // This requires a dummy Kernel instance, since KernelFunctions cannot execute without one.
+    Kernel kernel = new();
+    List<AITool> tools = plugin.Select(x => x.WithKernel(kernel)).Cast<AITool>().ToList();
+
+    // Create the chat client and agent, and provide the OpenAPI function tools to the agent.
+    AIAgent agent = new AzureOpenAIClient(
+        new Uri(endpoint),
+        new AzureCliCredential())
+        .GetChatClient(deploymentName)
+        .AsAIAgent(instructions: "You are a helpful assistant", tools: tools);
+
+    // Run the agent with the OpenAPI function tools.
+    Console.WriteLine(await agent.RunAsync("Please list the names, colors and descriptions of all the labels available in the microsoft/agent-framework repository on github."));
+}