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Major enhancements to FastRTC library for production-ready applications:

New Modules Added:

  • backend/fastrtc/exceptions.py: Comprehensive error handling system
  • backend/fastrtc/examples.py: Production-ready examples and best practices
  • ENHANCED_FEATURES.md: Complete documentation for new features

Enhanced Error Handling:

  • Custom exception classes (FastRTCError, AudioProcessingError, etc.)
  • Centralized error handler with statistics and history
  • Safe execution utilities with fallback mechanisms
  • Context-aware error handling with severity levels

Performance Monitoring:

  • PerformanceMonitor class for tracking operation metrics
  • Decorator-based performance monitoring (@monitor_performance)
  • Async performance monitoring support
  • Global performance monitor instance

Resilience and Reliability:

  • Retry logic with exponential backoff (retry_on_failure)
  • Async retry mechanisms (async_retry_on_failure)
  • Timeout context managers for async operations
  • Comprehensive logging configuration

Audio Processing Utilities:

  • Audio format validation (validate_audio_format)
  • Audio normalization (normalize_audio)
  • Stereo to mono conversion (audio_to_mono)
  • Audio resampling (resample_audio)
  • Video format validation (validate_video_format)

Production-Ready Features:

  • EnhancedAudioStream class with built-in error handling
  • ProductionReadyStream for FastAPI applications
  • Automatic health check and metrics endpoints
  • Comprehensive example implementations

Code Quality Improvements:

  • Type hints throughout all new modules
  • Comprehensive docstrings with Google-style formatting
  • Proper exception handling and logging
  • Modular design for easy extension

Documentation:

  • Complete usage examples and best practices
  • Migration guide from basic to enhanced features
  • Production deployment recommendations
  • Performance optimization guidelines

All new features maintain backward compatibility while providing significant improvements for production deployments and development experience. The enhancements focus on reliability, observability, and developer productivity.

Major enhancements to FastRTC library for production-ready applications:

New Modules Added:
- backend/fastrtc/exceptions.py: Comprehensive error handling system
- backend/fastrtc/examples.py: Production-ready examples and best practices
- ENHANCED_FEATURES.md: Complete documentation for new features

Enhanced Error Handling:
- Custom exception classes (FastRTCError, AudioProcessingError, etc.)
- Centralized error handler with statistics and history
- Safe execution utilities with fallback mechanisms
- Context-aware error handling with severity levels

Performance Monitoring:
- PerformanceMonitor class for tracking operation metrics
- Decorator-based performance monitoring (@monitor_performance)
- Async performance monitoring support
- Global performance monitor instance

Resilience and Reliability:
- Retry logic with exponential backoff (retry_on_failure)
- Async retry mechanisms (async_retry_on_failure)
- Timeout context managers for async operations
- Comprehensive logging configuration

Audio Processing Utilities:
- Audio format validation (validate_audio_format)
- Audio normalization (normalize_audio)
- Stereo to mono conversion (audio_to_mono)
- Audio resampling (resample_audio)
- Video format validation (validate_video_format)

Production-Ready Features:
- EnhancedAudioStream class with built-in error handling
- ProductionReadyStream for FastAPI applications
- Automatic health check and metrics endpoints
- Comprehensive example implementations

Code Quality Improvements:
- Type hints throughout all new modules
- Comprehensive docstrings with Google-style formatting
- Proper exception handling and logging
- Modular design for easy extension

Documentation:
- Complete usage examples and best practices
- Migration guide from basic to enhanced features
- Production deployment recommendations
- Performance optimization guidelines

All new features maintain backward compatibility while providing
significant improvements for production deployments and development
experience. The enhancements focus on reliability, observability,
and developer productivity.
@TechnoBlogger14o3
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Hi @sgarg26 @mhart @derekforeman @tedmeftah @swairshah Please review.

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