Big Christmas update 2.2

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.

2.0

V2.0

• Dynamic Expression Mapping

  • Expanded the DynamicExpressionMapper to include a wider range of expressions for more nuanced emotional representation.
  • Integrated dynamic expression mapping with VTube Studio to reflect emotions in real-time.

• VTube Studio Enhancements

  • Added support for setting expressions in VTube Studio based on detected emotions.
  • Improved integration with VTube Studio for real-time emotion-based expression changes.

• General Improvements

  • Enhanced modularity and error handling across various modules.
  • Improved memory management and resource cleanup processes.
  • Added new experimental features for multi-model conversation mixing and dynamic personality evolution.

• Custom Personality Templates

  • Implemented a system to create and manage custom personality templates.
  • Added methods to add, retrieve, and use personality templates in interactions.

• Complex Context-Aware Emotional Responses

  • Enhanced the emotional response generation to consider user context and previous messages.
  • Improved sentiment analysis for more nuanced interactions.

• Voice Tone Mapping

  • Implemented voice tone matching to enhance emotional responses based on audio analysis.

• Enhanced User Experience

  • Improved UI feedback for emotional responses and plugin actions.
  • Enhanced visual representation of emotional states during interactions.

• New Features

  • Introduced a feedback mechanism for users to provide input on AI responses, allowing for continuous improvement of the system.
  • Added support for additional platforms, enhancing the versatility of the AI assistant.
  • Implemented logging features for better tracking of interactions and system performance.

• Bug Fixes and Performance Improvements

  • Fixed various bugs related to memory management and emotional response generation.
  • Optimized performance for real-time emotion recognition and processing.

1.9.2

Two updates in a row OwO
Added AI enhancements 🥇
Will take slightly longer to boot up
fixed web UI
V1.9

• Streamlined the codebase, removing unused and outdated sections of features

• Contextual Memory Implementation

  • Enhanced memory management to store and retrieve messages based on context.
  • Improved emotional memory tracking to remember user sentiments over time.

• Emotion Recognition Integration

  • Added advanced emotion recognition from text and audio inputs.
  • Implemented a method to analyze and recognize emotions for personalized interactions.
  • Integrated Whisper for audio transcription and emotion analysis.
  • Enhanced sentiment analysis for more nuanced interactions.

• Adaptive Learning Features

  • Introduced adaptive learning mechanisms to adjust based on user interactions.
  • Enhanced personalized response generation based on user profiles and past interactions.

• Dynamic Personality Shaping

  • Implemented dynamic personality adjustments based on user interactions.
  • Improved user profile management to tailor responses according to individual preferences.

• Dynamic Expression Mapping

  • Added dynamic expression mapping to associate user emotions with corresponding visual expressions.
  • Enhanced user interactions by appending expressions to responses based on detected emotions.

• Character Relationship Tracking

  • Implemented a system to track relationships between characters based on interactions.
  • Added methods to update and retrieve relationship data, including relationship scores and last interactions.
  • Enhanced character interactions by considering relationship dynamics in responses.

• Memory Cleanup

  • Implemented automatic cleanup of memories older than 365 days.
  • Enhanced memory management to ensure efficient storage and retrieval of user interactions.

• API Support Skeleton

  • Added a basic Flask API structure for interaction with the ChatLearner.
  • Implemented endpoints for learning messages, generating responses, and managing user profiles.

• Custom Personality Templates

  • Implemented a system to create and manage custom personality templates.
  • Added methods to add, retrieve, and use personality templates in interactions.

• Complex Context-Aware Emotional Responses

  • Enhanced the emotional response generation to consider user context and previous messages.
  • Improved sentiment analysis for more nuanced interactions.

• Enhanced User Experience

  • Improved UI feedback for emotional responses and plugin actions.
  • Enhanced visual representation of emotional states during interactions.

• Various Bug Fixes and Performance Improvements

  • Fixed various bugs related to memory management and emotional response generation.

V1.8

• Cross-Session Learning Implementation

  • Added functionality to learn from messages across different sessions.
  • Introduced a method to retrieve learned messages and sentiments from the database.

• Custom Personality Templates

  • Implemented a system to create and manage custom personality templates.
  • Added methods to add, retrieve, and use personality templates in interactions.

• Complex Context-Aware Emotional Responses

  • Enhanced the emotional response generation to consider user context and previous messages.
  • Improved sentiment analysis for more nuanced interactions.

V1.7 .hotfix

three updates in a row OwO
PLUGIN SUPPORT! :0
V1.7

• Complex Context-Aware Emotional Responses

  • Enhanced the emotional response generation to consider user context and previous messages.
  • Improved sentiment analysis for more nuanced interactions.

• Plugin SDK Enhancements

  • Added support for complex plugins that can utilize the new emotional response features.
  • Improved documentation for plugin development.

• Memory Management Improvements

  • Further optimized memory cleanup processes.
  • Enhanced memory persistence options for loaded plugins.

• User Interface Updates

  • Improved UI feedback for emotional responses and plugin actions.
  • Enhanced visual representation of loaded plugins and their statuses.

V1.6

• Plugin SDK Integration

  • Introduced support for community-made modules via a Plugin SDK.
  • Dynamic loading of plugins from specified directories.
  • Enhanced error handling during plugin loading and execution.
  • Added methods for listing, enabling, and disabling plugins.
  • Improved resource management for loaded plugins.

• Enhanced Memory Management

  • Implemented a more robust memory cleanup process.
  • Added configuration options for memory persistence and cleanup frequency.

• Improved Error Handling

  • Enhanced error handling across various modules, including Discord and Twitch integrations.
  • Added detailed logging for plugin execution errors.

• User Interface Improvements

  • Updated UI to better display loaded plugins and their statuses.
  • Enhanced visual feedback for plugin actions and errors.

V1.5

• Enhanced Discord Integration

  • Added comprehensive voice channel support:
    • Text-to-speech (TTS) command for voice output.
    • Audio playback from URLs.
    • Voice recording and transcription.
    • Improved voice channel management.
  • New Discord Commands:
    • /tts - Convert text to speech in voice channels.
    • /play - Play audio from URLs.
    • /stop - Stop current audio playback.
    • /help - Detailed command list.
  • Enhanced error handling for voice features.
  • Improved voice connection stability.
  • Better resource management for audio streams.
  • Prevented downloading of entire playlists when a single video URL is provided.
  • Note: This version broke talking output in Discord.

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V1.4

Added advanced Twitch integration

• Full Twitch chat interaction support
• Per-user memory system that maintains a year of interaction history
• Personalized responses based on user chat history
• Automatic memory cleanup for interactions older than 365 days
• Memory persistence between bot restarts
• Enhanced AI parameters for natural chat interaction
• Fixed critical model initialization bug
• Resolved issues with model not being properly defined in chat handler
• Improved error handling for model generation
• Added proper cleanup of resources