Firebase AI Skill

This skill defines how to correctly use Firebase AI Logic in Flutter applications.

When to Use

Use this skill when:

• Setting up and configuring Firebase AI in a Flutter project.
• Generating text content or chat responses with Gemini models.
• Implementing streaming AI responses for real-time UI updates.
• Sending multimodal prompts (text + images) to Gemini.
• Handling errors, offline scenarios, and rate limits for AI operations.
• Applying security and privacy considerations for AI features.

---

1. Setup and Configuration

flutter pub add firebase_ai

import 'package:firebase_ai/firebase_ai.dart';
import 'package:firebase_core/firebase_core.dart';
import 'firebase_options.dart';

// Initialize FirebaseApp
await Firebase.initializeApp(
  options: DefaultFirebaseOptions.currentPlatform,
);

// Initialize the Gemini Developer API backend service
final model =
    FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');

• Ensure the Firebase project is configured for AI services via the Firebase AI Logic page in the Firebase Console.
• Initialize Firebase before using any Firebase AI features.
• Use FirebaseAI.googleAI() for the Gemini Developer API backend (recommended starting point).
• Implement App Check to prevent abuse of Firebase AI endpoints.

Platform support:

Platform	Support
iOS	Full
Android	Full
Web	Full
macOS / other Apple	Beta
Windows	Not supported

---

2. Generating Content

Single-turn text generation

final response = await model.generateContent([
  Content.text('Summarize the benefits of Flutter for mobile development'),
]);
final text = response.text; // The generated summary string

Multi-turn chat

final chat = model.startChat();
final response = await chat.sendMessage(
  Content.text('What is the difference between StatelessWidget and StatefulWidget?'),
);
print(response.text);