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Big Christmas update 2.2

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@Drakkadakka Drakkadakka released this 29 Dec 22:08
· 2 commits to main since this release
d136e61

Big Christmas update
WE GOT METRICS and real time adjustments

V2.2

  • VTube Studio Integration Improvements

    • Added robust error handling for VTube Studio connection failures
    • Implemented graceful fallback when VTube Studio is not running
    • Added connection state management and automatic reconnection
    • Enhanced emotion-to-expression mapping system
    • Improved performance with lazy initialization
    • Added connection attempt limiting to prevent resource drain
  • Performance Optimizations

    • Implemented lazy loading for resource-heavy integrations
    • Added connection pooling for better resource management
    • Enhanced error isolation to prevent cascading failures
    • Improved logging system with better error categorization
    • Added resource usage monitoring and cleanup
  • Stability Enhancements

    • Added system-wide error boundary implementation
    • Improved module initialization sequence
    • Enhanced cross-module communication reliability
    • Added automatic recovery mechanisms for common failure modes
    • Implemented better state management across integrations
  • Added comprehensive logging system:

    • Added track_response_time decorator for performance monitoring
    • Added log_startup() function for application initialization logging
    • Added file-based logging with automatic log directory creation
    • Added structured logging with timestamp and log levels
    • Added global debug, RAG, and temperature logging capabilities
  • Improved configuration system:

    • Added dataclass-based configuration
    • Added support for hot-reloading configuration
    • Added JSON-based config persistence
    • Separated RP Suppression and Newline Cut controls
    • Added independent UI toggles for RP Suppression and Newline Cut
    • Added environment variable support for default settings
    • Improved stopping strings organization with categorical structure
    • Added message length validation with debug logging
    • Optimized RP Suppression threshold for better accuracy

V2.1

  • Performance Metrics Tracking

    • Implemented a comprehensive performance metrics tracking system to monitor the application's efficiency and responsiveness.
    • Added logging for key performance indicators, including response times and resource usage.
    • Introduced a real-time performance metrics dashboard with:
      • Response time tracking and analysis
      • CPU and memory usage monitoring
      • Automatic performance data logging
      • Resource usage history tracking
    • Enhanced the overall user experience by ensuring smoother interactions and quicker response times.
    • Added function-level performance tracking using decorators
    • Implemented automatic cleanup of old performance data
    • Added system resource monitoring with alerts for high usage
  • Emotion Recognition Enhancements

    • Improved accuracy by refining the model and incorporating new training data.
    • Enhanced the emotional response system to better reflect detected emotions in interactions.
  • Dynamic Personality Adjustments

    • Introduced algorithms for adjusting personality based on user feedback and interaction history.
    • Improved adaptability of AI responses to better match user preferences and emotional states.