chore: import upstream snapshot with attribution

dotnet/samples/02-agents/Evaluation/Evaluation_Multimodal/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates that the evaluation pipeline preserves multimodal content.
+// When an agent conversation includes images, EvalChecks.HasImageContent() can verify
+// they survived into the EvalItem — useful for testing vision-capable agents.
+//
+// No Azure credentials needed: this sample builds EvalItems locally to show the pattern.
+
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+
+// Simulate a vision agent conversation where the user sends an image.
+// Just pass the conversation — query/response are derived automatically.
+// For cloud-based quality evaluation of multimodal conversations, see the
+// 05-end-to-end/Evaluation samples (FoundryQuality, ConversationSplits).
+EvalItem imageItem = new(
+    conversation:
+    [
+        new(ChatRole.User,
+        [
+            new TextContent("What do you see in this image?"),
+            new UriContent(new Uri("https://example.com/mountain.png"), "image/png"),
+        ]),
+        new(ChatRole.Assistant, "The image shows a mountain landscape with snow-capped peaks."),
+    ]);
+
+// Simulate a text-only conversation (no image).
+EvalItem textItem = new(
+    query: "Tell me about mountains.",
+    response: "Mountains are large landforms that rise above the surrounding terrain.");
+
+// HasImageContent() passes when the conversation contains an image, fails otherwise.
+// This lets you verify that your vision agent actually received the image.
+LocalEvaluator evaluator = new(
+    EvalChecks.HasImageContent(),
+    EvalChecks.NonEmpty());
+
+AgentEvaluationResults results = await evaluator.EvaluateAsync([imageItem, textItem]);
+
+Console.WriteLine($"Evaluation: {results.Passed}/{results.Total} passed");
+Console.WriteLine();
+
+Console.WriteLine($"Image conversation: has_image_content = {imageItem.HasImageContent}");  // true
+Console.WriteLine($"Text conversation:  has_image_content = {textItem.HasImageContent}");   // false
+Console.WriteLine();
+
+for (int i = 0; i < results.Items.Count; i++)
+{
+    Console.WriteLine($"Item {i + 1}: {results.InputItems![i].Query}");
+    foreach (var metric in results.Items[i].Metrics)
+    {
+        string status = metric.Value.Interpretation?.Failed == true ? "FAIL" : "PASS";
+        Console.WriteLine($"  [{status}] {metric.Key}: {metric.Value.Interpretation?.Reason}");
+    }
+
+    Console.WriteLine();
+}