⚠️ Warning #

This package is still under active development and is not yet stable. #

flutter_local_ai #

A Flutter package that provides a unified API for local AI inference on Android (using ML Kit GenAI) and iOS (using Apple GenAI APIs).

Features #

• 🤖 Local AI inference on both Android and iOS
• 📱 Platform-specific optimizations
• 🔒 Privacy-first: all processing happens on-device
• 🚀 Easy-to-use Dart API

Getting Started #

Android Setup #

Add the following to your android/app/build.gradle:

dependencies {
    implementation 'com.google.mlkit:genai:1.0.0'
}

iOS Setup #

Requires iOS 18.0+ and Xcode 16.0+.

Add the following to your ios/Podfile:

platform :ios, '18.0'

Installation #

Add this to your package's pubspec.yaml file:

dependencies:
  flutter_local_ai:
    git:
      url: https://github.com/kekko7072/flutter_local_ai.git

Or if published to pub.dev:

dependencies:
  flutter_local_ai: ^(latest-version)

Usage #

Basic Usage #

import 'package:flutter_local_ai/flutter_local_ai.dart';

// Initialize the AI engine
final aiEngine = FlutterLocalAi();

// Check availability
final isAvailable = await aiEngine.isAvailable();
if (!isAvailable) {
  print('Local AI is not available on this device');
  return;
}

// Generate text with simple method
final text = await aiEngine.generateTextSimple(
  prompt: 'Write a short story about a robot',
  maxTokens: 200,
);
print(text);

Advanced Usage #

import 'package:flutter_local_ai/flutter_local_ai.dart';

final aiEngine = FlutterLocalAi();

// Generate text with configuration
final response = await aiEngine.generateText(
  prompt: 'Explain quantum computing in simple terms',
  config: const GenerationConfig(
    maxTokens: 300,
    temperature: 0.7,
    topP: 0.9,
    topK: 40,
  ),
);

print('Generated text: ${response.text}');
print('Token count: ${response.tokenCount}');
print('Generation time: ${response.generationTimeMs}ms');

API Reference #

FlutterLocalAi #

Main class for interacting with local AI.

Methods

• Future<bool> isAvailable() - Check if local AI is available on the device
• Future<AiResponse> generateText({required String prompt, GenerationConfig? config}) - Generate text from a prompt with optional configuration
• Future<String> generateTextSimple({required String prompt, int maxTokens = 100}) - Convenience method to generate text and return just the string

GenerationConfig #

Configuration for text generation.

• maxTokens (int, default: 100) - Maximum number of tokens to generate
• temperature (double?, optional) - Temperature for generation (0.0 to 1.0)
• topP (double?, optional) - Top-p sampling parameter
• topK (int?, optional) - Top-k sampling parameter

AiResponse #

Response from AI generation.

• text (String) - The generated text
• tokenCount (int?) - Token count used
• generationTimeMs (int?) - Generation time in milliseconds

Implementation Notes #

Android #

The Android implementation uses ML Kit GenAI (Gemini Nano). The API structure may need to be verified against the latest ML Kit GenAI documentation as the API might evolve.

iOS #

The iOS implementation currently includes a placeholder for Apple's GenAI framework (iOS 18+). Once Apple releases the final GenAI API documentation and framework, the generateTextAsync method in FlutterLocalAiPlugin.swift should be updated with the actual API calls.

Note: The iOS implementation structure is ready, but you'll need to replace the placeholder implementation with the actual GenAI framework API calls when Apple's documentation is available.

Contributing #

Contributions are welcome! Please feel free to submit a Pull Request.

License #

MIT

flutter_local_ai #