chore: import upstream snapshot with attribution

dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/Program.cs

@@ -0,0 +1,34 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// Using Images — Multimodal input with an AI agent
+//
+// This sample shows how to send image content to an AI agent
+// for vision-based analysis.
+
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Extensions.AI;
+
+var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+var deploymentName = System.Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
+
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+var agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
+    .AsAIAgent(
+        model: deploymentName,
+        instructions: "You are a helpful agent that can analyze images",
+        name: "VisionAgent");
+
+ChatMessage message = new(ChatRole.User, [
+    new TextContent("What do you see in this image?"),
+    await DataContent.LoadFromAsync("Assets/walkway.jpg"),
+]);
+
+var session = await agent.CreateSessionAsync();
+
+await foreach (var update in agent.RunStreamingAsync(message, session))
+{
+    Console.WriteLine(update);
+}