Flutter AI Agent SDK #

A high-performance, extensible AI Agent SDK for Flutter with voice interaction, LLM integration, and tool execution capabilities.

✨ Features #

• 🎙️ Voice Interaction: Built-in STT/TTS with native platform support
• 🤖 Multiple LLM Providers: OpenAI, Anthropic, and custom providers
• 🛠️ Tool/Function Calling: Execute custom functions from AI responses
• 💾 Conversation Memory: Short-term and long-term memory management
• 🔄 Streaming Support: Real-time response streaming
• 🎯 Turn Detection: VAD, push-to-talk, and hybrid modes
• 📦 Pure Dart: No platform-specific code required
• ⚡ High Performance: Optimized for mobile devices

🚀 Installation #

Add to your pubspec.yaml:

dependencies:
  flutter_ai_agent_sdk:
    path: ../flutter_ai_agent_sdk

📖 Quick Start #

1. Create an LLM Provider #

import 'package:flutter_ai_agent_sdk/flutter_ai_agent_sdk.dart';

final llmProvider = OpenAIProvider(
  apiKey: 'your-api-key',
  model: 'gpt-4-turbo-preview',
);

2. Configure Your Agent #

final config = AgentConfig(
  name: 'My Assistant',
  instructions: 'You are a helpful AI assistant.',
  llmProvider: llmProvider,
  sttService: NativeSTTService(),
  ttsService: NativeTTSService(),
  turnDetection: TurnDetectionConfig(
    mode: TurnDetectionMode.vad,
    silenceThreshold: Duration(milliseconds: 700),
  ),
  tools: [
    // Add your custom tools here
  ],
);

3. Create and Use Agent #

final agent = VoiceAgent(config: config);
final session = await agent.createSession();

// Send text message
await session.sendMessage('Hello!');

// Start voice interaction
await session.startListening();

// Listen to events
session.events.listen((event) {
  if (event is MessageReceivedEvent) {
    print('Assistant: ${event.message.content}');
  }
});

// Listen to state changes
session.state.listen((status) {
  print('State: ${status.state}');
});

🛠️ Creating Custom Tools #

final weatherTool = FunctionTool(
  name: 'get_weather',
  description: 'Get current weather for a location',
  parameters: {
    'type': 'object',
    'properties': {
      'location': {'type': 'string', 'description': 'City name'},
      'unit': {'type': 'string', 'enum': ['celsius', 'fahrenheit']},
    },
    'required': ['location'],
  },
  function: (args) async {
    final location = args['location'];
    final unit = args['unit'] ?? 'celsius';
    
    // Your weather API call here
    return {
      'temperature': 22,
      'condition': 'sunny',
      'location': location,
      'unit': unit,
    };
  },
);

🏗️ Architecture #

flutter_ai_agent_sdk/
├── lib/
│   ├── src/
│   │   ├── core/           # Core agent logic
│   │   │   ├── agents/     # VoiceAgent, config
│   │   │   ├── sessions/   # Session management
│   │   │   ├── events/     # Event system
│   │   │   └── models/     # Data models
│   │   ├── voice/          # Voice processing
│   │   │   ├── stt/        # Speech-to-text
│   │   │   ├── tts/        # Text-to-speech
│   │   │   ├── vad/        # Voice activity detection
│   │   │   └── audio/      # Audio utilities
│   │   ├── llm/            # LLM integration
│   │   │   ├── providers/  # Provider implementations
│   │   │   ├── chat/       # Chat context
│   │   │   └── streaming/  # Stream processing
│   │   ├── tools/          # Tool execution
│   │   ├── memory/         # Memory management
│   │   └── utils/          # Utilities
│   └── flutter_ai_agent_sdk.dart
├── example/                # Example app
└── test/                   # Tests

🔌 Supported LLM Providers #

OpenAI #

OpenAIProvider(
  apiKey: 'sk-...',
  model: 'gpt-4-turbo-preview',
)

Anthropic #

AnthropicProvider(
  apiKey: 'sk-ant-...',
  model: 'claude-3-sonnet-20240229',
)

Custom Provider #

class MyCustomProvider extends LLMProvider {
  @override
  String get name => 'MyProvider';
  
  @override
  Future<LLMResponse> generate({
    required List<Message> messages,
    List<Tool>? tools,
    Map<String, dynamic>? parameters,
  }) async {
    // Your implementation
  }
  
  @override
  Stream<LLMResponse> generateStream({
    required List<Message> messages,
    List<Tool>? tools,
    Map<String, dynamic>? parameters,
  }) async* {
    // Your streaming implementation
  }
}

🎯 Turn Detection Modes #

• VAD (Voice Activity Detection): Automatic speech detection
• Push-to-Talk: Manual button control
• Server VAD: Server-side detection (e.g., OpenAI Realtime)
• Hybrid: Combined VAD + silence detection

📱 Platform Support #

• ✅ iOS
• ✅ Android
• ✅ Web (limited voice features)
• ✅ macOS
• ✅ Windows
• ✅ Linux

🧪 Testing #

flutter test

📄 License #

MIT License

🤝 Contributing #

Contributions welcome! Please read CONTRIBUTING.md first.

🔗 Important Links #

• Email: chief.stategist.j@gmail.com
• Phone: +91 9664920749
• Medium: scaibu
• LinkedIn: Chief J
• Twitter/X: ChiefErj
• Instagram: chief._.jaydeep

📞 Support #

• Documentation: Project Wiki
• Issues: GitHub Issues
• Discussions: GitHub Discussions