Next-Generation AI Model Playground

A sophisticated real-time AI model interaction platform with streaming capabilities, built with Next.js 15 and React 19.

Features

• ✨ Real-time AI model interaction with streaming responses
• 📊 Live metrics tracking (tokens/sec, total tokens)
• 🔄 Automatic retry logic with exponential backoff
• 🔧 Configurable model parameters
• 📱 Progressive Web App (PWA) support
• 🔌 Offline functionality
• ⚡ Performance optimized with React memoization
• 📐 LaTeX equation support
• 🎨 Dark/Light mode support

Quick Start

# Install dependencies (use legacy peer deps due to React 19 RC)
npm install --legacy-peer-deps

# Start development server
npm run dev

# Build for production
npm run build

# Start production server
npm start

Architecture Overview

Core Components

1. Playground (components/playground/playground.tsx)

   • Main interface component
   • Handles user input and AI interactions
   • Manages conversation state

2. Message System

   • MessageWindow: Virtualized message display
   • MessageItem: Individual message rendering
   • LaTeX equation support via KaTeX
   • Code syntax highlighting

3. Model Controls

   • Temperature adjustment
   • Top-P configuration
   • Frequency/Presence penalty settings

4. Error Handling

   • Error boundaries for component isolation
   • Automatic retry logic
   • Sentry integration for monitoring

State Management

• React hooks for local state
• IndexedDB for conversation persistence
• Local storage for user preferences

Performance Considerations

1. Optimizations

   • Component memoization
   • Virtualized list rendering
   • Service worker for offline support
   • Asset caching strategies

2. Memory Management

   • Message virtualization
   • Efficient state updates
   • Cleanup on unmount

Error Handling

1. Retry Logic

   • Exponential backoff
   • Configurable attempts
   • Error context preservation

2. Monitoring

   • Sentry integration
   • Error logging
   • User feedback

Future Improvements

1. Features

   • Multiple model support
   • Conversation branching
   • Export/Import conversations
   • Collaborative features

2. Technical

   • WebSocket implementation
   • Stream compression
   • Worker thread processing
   • Enhanced caching strategies

Known Limitations

1. Browser Support

   • Service workers require HTTPS
   • IndexedDB storage limits
   • PWA installation requirements

2. Performance

   • Initial load time with full bundle
   • Memory usage with long conversations
   • Mobile device considerations

Edge Cases

1. Network

   • Intermittent connectivity
   • Failed retry attempts
   • Partial message delivery

2. User Input

   • Large message handling
   • Special character processing
   • Rate limiting

3. Storage

   • Quota exceeded handling
   • Data corruption recovery
   • Cross-device sync limitations

Development

Prerequisites

• Node.js 18+
• npm or yarn
• Modern browser with service worker support

Environment Setup

1. Clone the repository
2. Install dependencies with npm install --legacy-peer-deps
3. Create .env.local with required variables
4. Start development server

Testing

npm run test        # Run unit tests
npm run test:e2e    # Run end-to-end tests
npm run lint        # Run linting

License

MIT License - see LICENSE file for details