firebase-ai-logic

Included with Lifetime

$97 forever

Integrate Firebase AI Logic (Gemini in Firebase) for intelligent app features. Use when adding AI capabilities to Firebase apps, implementing generative AI features, or setting up Firebase AI SDK. Handles Firebase AI SDK setup, prompt engineering, and AI-powered features.

Backend & APIs

What this skill does



# Firebase AI Logic Integration


## When to use this skill

- **Add AI features**: integrate generative AI features into your app
- **Firebase projects**: add AI to Firebase-based apps
- **Text generation**: content generation, summarization, translation
- **Image analysis**: image-based AI processing

## Instructions

### Step 1: Firebase Project Setup

```bash
# Install Firebase CLI
npm install -g firebase-tools

# Login
firebase login

# Initialize project
firebase init
```

### Step 2: Enable AI Logic

In Firebase Console:
1. Select **Build > AI Logic**
2. Click **Get Started**
3. Enable the Gemini API

### Step 3: Install SDK

**Web (JavaScript)**:
```bash
npm install firebase @anthropic-ai/sdk
```

**Initialization code**:
```typescript
import { initializeApp } from 'firebase/app';
import { getAI, getGenerativeModel } from 'firebase/ai';

const firebaseConfig = {
  apiKey: "YOUR_API_KEY",
  authDomain: "YOUR_PROJECT.firebaseapp.com",
  projectId: "YOUR_PROJECT_ID",
};

const app = initializeApp(firebaseConfig);
const ai = getAI(app);
const model = getGenerativeModel(ai, { model: "gemini-2.0-flash" });
```

### Step 4: Implement AI Features

**Text generation**:
```typescript
async function generateContent(prompt: string) {
  const result = await model.generateContent(prompt);
  return result.response.text();
}

// Example usage
const response = await generateContent("Explain the key features of Firebase.");
console.log(response);
```

**Streaming response**:
```typescript
async function streamContent(prompt: string) {
  const result = await model.generateContentStream(prompt);

  for await (const chunk of result.stream) {
    const text = chunk.text();
    console.log(text);
  }
}
```

**Multimodal (image + text)**:
```typescript
async function analyzeImage(imageUrl: string, prompt: string) {
  const imagePart = {
    inlineData: {
      data: await fetchImageAsBase64(imageUrl),
      mimeType: "image/jpeg"
    }
  };

  const result = await model.generateContent([prompt, imagePart]);
  return result.response.text();
}
```

### Step 5: Configure Security Rules

**Firebase Security Rules**:
```javascript
rules_version = '2';
service cloud.firestore {
  match /databases/{database}/documents {
    // Protect AI request logs
    match /ai_logs/{logId} {
      allow read: if request.auth != null && request.auth.uid == resource.data.userId;
      allow create: if request.auth != null;
    }
  }
}
```

## Output format

### Project structure
```
project/
├── src/
│   ├── ai/
│   │   ├── client.ts        # Initialize AI client
│   │   ├── prompts.ts       # Prompt templates
│   │   └── handlers.ts      # AI handlers
│   └── firebase/
│       └── config.ts        # Firebase config
├── firebase.json
└── .env.local               # API key (gitignored)
```

## Best practices

1. **Prompt optimization**: write clear, specific prompts
2. **Error handling**: implement a fallback when AI responses fail
3. **Rate Limiting**: limit usage and manage costs
4. **Caching**: cache responses for repeated requests
5. **Security**: manage API keys via environment variables

## Constraints

### Required Rules (MUST)
1. Do not hardcode API keys in code
2. Validate user input
3. Implement error handling

### Prohibited (MUST NOT)
1. Do not send sensitive data to the AI
2. Do not allow unlimited API calls

## References

- [Firebase AI Logic Docs](https://firebase.google.com/docs/ai-logic)
- [Gemini API](https://ai.google.dev/)
- [Firebase SDK](https://firebase.google.com/docs/web/setup)

## Metadata

- **Version**: 1.0.0
- **Last updated**: 2025-01-05
- **Supported platforms**: Claude, ChatGPT, Gemini

## Examples

### Example 1: Basic usage
<!-- Add example content here -->

### Example 2: Advanced usage
<!-- Add advanced example content here -->

Files: 1

Size: 4.2 KB

Complexity: 14/100

Category: Backend & APIs

Source: https://github.com/autohandai/community-skills/tree/main/firebase-ai-logic

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