mention ai agents in agents getting started section

Author: alexsohn1126

docs/platforms/dotnet/common/tracing/instrumentation/ai-agents-module.mdx

@@ -67,9 +67,9 @@ var options = new ChatOptions
     MaxOutputTokens = 1024,
     Tools =
     [
+        // Sample Tool
         AIFunctionFactory.Create(async (string location) =>
         {
-            // Tool implementation
             await Task.Delay(500);
             return $"The weather in {location} is sunny";
         }, "GetWeather", "Gets the current weather for a location")
@@ -104,6 +104,8 @@ Name of the AI Agent. This name will be used to identify the agent in the Sentry
 
 </SdkOption>
 
+<PlatformSection supported={["dotnet.aspnetcore"]}>
+
 ## ASP.NET Core Integration
 
 For ASP.NET Core applications, you can integrate Sentry AI Agent monitoring as follows:
@@ -152,3 +154,5 @@ app.MapGet("/chat", async (IChatClient client, string message) =>
 app.Run();
 ```
 
+</PlatformSection>
+

docs/product/insights/ai/agents/getting-started.mdx

@@ -194,6 +194,58 @@ result = await agents.Runner.run(
 
 ```
 
+### .NET - Microsoft.Extensions.AI SDK
+
+The Sentry .NET SDK supports AI agent monitoring through the Microsoft.Extensions.AI integration, which automatically captures spans for your AI agent workflows using the library's built-in telemetry.
+
+#### Supported Platforms
+
+- <LinkWithPlatformIcon
+    platform="dotnet"
+    label="Microsoft.Extensions.AI"
+    url="/platforms/dotnet/tracing/instrumentation/ai-agents-module/"
+  />
+
+#### Quick Start with Microsoft.Extensions.AI
+
+```csharp
+// Wrap your IChatClient with Sentry instrumentation
+var openAiClient = new OpenAI.Chat.ChatClient("gpt-4o-mini", apiKey)
+    .AsIChatClient()
+    .AddSentry(options =>
+    {
+        options.Experimental.RecordInputs = true;
+        options.Experimental.RecordOutputs = true;
+        options.Experimental.AgentName = "MyAgent";
+    });
+
+// Wrap your client with FunctionInvokingChatClient
+var chatClient = new ChatClientBuilder(openAiClient)
+    .UseFunctionInvocation()
+    .Build();
+
+// Create chat options with tools and add Sentry instrumentation
+var options = new ChatOptions
+{
+    ModelId = "gpt-4o-mini",
+    MaxOutputTokens = 1024,
+    Tools =
+    [
+        // Sample Tool
+        AIFunctionFactory.Create(async (string location) =>
+        {
+            await Task.Delay(500);
+            return $"The weather in {location} is sunny";
+        }, "GetWeather", "Gets the current weather for a location")
+    ]
+}.AddSentryToolInstrumentation();
+
+var response = await chatClient.GetResponseAsync(
+    "What's the weather in New York?",
+    options);
+```
+
+
 <Alert title="Don't see your SDK?">
 
 You can also instrument AI agents manually by following our [manual instrumentation guides](/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module).