docs: update legacy Vertex AI for Firebase references to Firebase AI Logic

sites/docs/src/content/ai/ai-toolkit/index.md

@@ -65,8 +65,8 @@ dependencies:
 
 <li><b>Configuration</b>
 
-The AI Toolkit supports both the Gemini endpoint (for prototyping) and the
-Vertex endpoint (for production). Both require a Firebase project and the
+The AI Toolkit supports both the Gemini Developer API (for prototyping) and the
+Firebase AI Logic production endpoint. Both require a Firebase project and the
 `firebase_core` package to be initialized, as described in the [Get started with
 the Gemini API using the Firebase AI Logic SDKs][firebase_ai] docs.
 
@@ -134,7 +134,8 @@ The `FirebaseProvider` class exposes the Firebase AI Logic SDK to the
 options][options] from which to choose), but you do not provide an API key. All
 of that is handled as part of the Firebase project.
 
-For production workloads, it's easy to swap in the Firebase Logic AI endpoint:
+For production workloads, it's easy to swap in the Firebase AI Logic production
+endpoint:
 
 ```dart
 class ChatPage extends StatelessWidget {
@@ -145,7 +146,7 @@ class ChatPage extends StatelessWidget {
         appBar: AppBar(title: const Text(App.title)),
         body: LlmChatView(
           provider: FirebaseProvider(
-            // Use the Vertex AI endpoint
+            // Use the production endpoint
             model: FirebaseAI.vertexAI().generativeModel(
               model: 'gemini-2.5-flash',
             ),
@@ -160,7 +161,7 @@ For a complete example, check out the [gemini.dart] and [vertex.dart][]
 examples.
 
 [options]:
-    https://firebase.google.com/docs/vertex-ai/gemini-models#available-model-names
+    https://firebase.google.com/docs/ai-logic/models
 [gemini.dart]:
     https://github.com/flutter/ai/blob/main/example/lib/gemini/gemini.dart
 [vertex.dart]:
@@ -215,17 +216,19 @@ attachments, ensure that your app has the necessary permissions:
 
 **firebase_options.dart**
 
-To use the [Vertex AI example app][vertex-ex], place your Firebase configuration
-details into the `example/lib/firebase_options.dart` file. You can do this with
-the `flutterfire CLI` tool as described in the [Add Firebase to your Flutter
-app][add-fb] docs **from within the `example` directory**.
+To use the [Firebase AI Logic example app][vertex-ex],
+place your Firebase configuration details into the
+`example/lib/firebase_options.dart` file.
+You can do this with the `flutterfire CLI` tool as described in the
+[Add Firebase to your Flutter app][add-fb] docs
+**from within the `example` directory**.
 
 :::note Security considerations for `firebase_options.dart`
 
-If your Flutter app calls Gemini or Vertex AI directly from the client, do not
-commit `firebase_options.dart` to a public repository. Anyone could reuse your
-app configuration to send requests to your AI endpoint, consuming quota and
-potentially causing billing costs.
+If your Flutter app calls Gemini APIs directly from the client,
+do not commit `firebase_options.dart` to a public repository.
+Anyone could reuse your app configuration to send requests to your AI endpoint,
+consuming quota and potentially causing billing costs.
 
 While this guide shows direct client-side calls for simplicity, for production
 apps, you should route AI requests through a backend service (for example [Cloud

sites/docs/src/content/ai/genui/get-started.md

@@ -57,7 +57,8 @@ Available providers include the following:
 
 <Tab name="Firebase AI Logic">
 
-To connect to Gemini using the Vertex AI for Firebase SDK, follow these instructions:
+To connect to Gemini using the Firebase AI Logic SDK,
+follow these instructions:
 
  1. [Create a new Firebase project][] using the Firebase Console.
 
@@ -90,7 +91,7 @@ To connect to Gemini using the Vertex AI for Firebase SDK, follow these instruct
     }
     ```
 
- 6. Create an instance of the Vertex AI for Firebase generative model and wrap it
+ 6. Create an instance of the Firebase AI Logic generative model and wrap it
     with your `SurfaceController` and `A2uiTransportAdapter`:
 
     ```dart

sites/www/content/blog/whats-new-in-flutter-3-44/index.md

@@ -205,7 +205,7 @@ In closing, Li-Te challenged us to go beyond walls of text and chatbots, and ins
 
 ### Googlebook and peripheral support
 
-Flutter is already equipped to handle the new Googlebook laptop, powered by Gemini. Because Flutter targets Android’s large-screen guidelines, apps handle external hardware inputs naturally. Trackpad scrolling, mouse hover states, right-click menus, and keyboard shortcuts work by default. Because Flutter has mature desktop support across macOS, Windows, and Linux, Flutter apps will feel native and responsive on a Googlebook rather than looking like stretched mobile ports. Existing mobile apps will feel at home on a Googlebook without requiring an extensive rewrite.
+Flutter is already equipped to handle the new Googlebook laptop, built with Gemini. Because Flutter targets Android’s large-screen guidelines, apps handle external hardware inputs naturally. Trackpad scrolling, mouse hover states, right-click menus, and keyboard shortcuts work by default. Because Flutter has mature desktop support across macOS, Windows, and Linux, Flutter apps will feel native and responsive on a Googlebook rather than looking like stretched mobile ports. Existing mobile apps will feel at home on a Googlebook without requiring an extensive rewrite.
 
 **Learn more**: [Introducing Googlebook, designed for Gemini intelligence](https://blog.google/products-and-platforms/platforms/android/meet-googlebook/)
 

sites/www/lib/src/pages/ai_page.dart

@@ -97,7 +97,7 @@ class AiPage extends StatelessComponent {
               div(classes: 'media', [
                 img(
                   src: context.asset('images/build-with-ai/vertex-tab.png'),
-                  alt: 'Vertex AI Logo',
+                  alt: 'Firebase AI Logic Logo',
                 ),
               ]),
               const div(classes: 'text', [
@@ -112,7 +112,7 @@ class AiPage extends StatelessComponent {
                 ]),
                 a(
                   classes: 'btn',
-                  href: 'https://firebase.google.com/docs/vertex-ai/get-started?platform=flutter',
+                  href: 'https://firebase.google.com/docs/ai-logic/get-started?platform=flutter',
                   target: Target.blank,
                   [.text('Get started')],
                 ),
@@ -183,9 +183,9 @@ class AiPage extends StatelessComponent {
                 ),
               ),
               FeatureGridItem(
-                title: 'Build generative AI agents with Vertex AI Agent Builder and Flutter',
+                title: 'Build generative AI agents with Google Cloud and Flutter',
                 description:
-                    'Supercharge your generative AI development workflow with Vertex AI and Flutter. '
+                    'Supercharge your generative AI development workflow with Gemini Enterprise and Flutter. '
                     'Seamlessly integrate with your existing tools and leverage our pre-built components and architectures to accelerate prototyping and deploy production-grade gen AI agents in your apps.',
                 url: 'https://io.google/2024/explore/6f1a4481-7b82-45c9-83eb-caa6e2391152/',
                 icon: context.asset(