# Firebase Ai

> Use when setting up firebase_ai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.

- **Type:** Skill
- **Install:** `agentstack add skill-evanca-flutter-ai-rules-firebase-ai`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [evanca](https://agentstack.voostack.com/s/evanca)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [evanca](https://github.com/evanca)
- **Source:** https://github.com/evanca/flutter-ai-rules/tree/main/skills/firebase-ai

## Install

```sh
agentstack add skill-evanca-flutter-ai-rules-firebase-ai
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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
```

```dart
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

```dart
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

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

// Follow-up in the same conversation
final followUp = await chat.sendMessage(
  Content.text('When should I use StatefulWidget?'),
);
print(followUp.text);
```

### Streaming responses

Use streaming to display partial results as they arrive:

```dart
final stream = model.generateContentStream([
  Content.text('Write a step-by-step guide to implementing dark mode in Flutter'),
]);

await for (final chunk in stream) {
  // Append chunk.text to the UI progressively
  setState(() => _output += chunk.text ?? '');
}
```

### Multimodal prompts (text + image)

```dart
final imageBytes = await File('photo.jpg').readAsBytes();
final response = await model.generateContent([
  Content.multi([
    TextPart('Describe what you see in this image'),
    InlineDataPart('image/jpeg', imageBytes),
  ]),
]);
```

---

## 3. Error Handling

Wrap AI calls in structured error handling:

```dart
try {
  final response = await model.generateContent([Content.text(prompt)]);
  return response.text;
} on FirebaseAIException catch (e) {
  if (e.message?.contains('quota') ?? false) {
    // Handle rate limiting — show retry message or queue the request
    return 'Service is busy. Please try again shortly.';
  }
  return 'AI service error: ${e.message}';
} catch (e) {
  return 'Unexpected error: $e';
}
```

- Provide meaningful error messages to users when AI operations fail.
- Handle **offline scenarios** with appropriate fallback behavior (e.g., cached responses).
- Implement **exponential backoff** for rate-limited or transient errors.

---

## 4. Security and Privacy

- Follow Firebase Security Rules best practices when using AI services alongside other Firebase products.
- Ensure proper **authentication and authorization** for AI feature access.
- Sanitize user input before sending it to the model to prevent prompt injection.
- Be mindful of **data privacy requirements** when processing user content with AI services.
- Implement appropriate **content filtering and moderation** using safety settings:

```dart
final model = FirebaseAI.googleAI().generativeModel(
  model: 'gemini-2.5-flash',
  safetySettings: [
    SafetySetting(HarmCategory.harassment, HarmBlockThreshold.medium),
    SafetySetting(HarmCategory.dangerousContent, HarmBlockThreshold.high),
  ],
);
```

---

## References

- [Firebase AI Logic Flutter documentation](https://firebase.google.com/docs/ai-logic/get-started?platform=flutter)

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [evanca](https://github.com/evanca)
- **Source:** [evanca/flutter-ai-rules](https://github.com/evanca/flutter-ai-rules)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-evanca-flutter-ai-rules-firebase-ai
- Seller: https://agentstack.voostack.com/s/evanca
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.