- Updated scheduler.js to improve tab switching and content display.
- Refactored script fetching logic to handle new data structure.
- Enhanced schedule creation and editing with updated payload structure.
- Improved trigger testing and creation with consistent naming conventions.
- Added new CSS styles for actions and plugins pages to enhance UI/UX.
- Introduced responsive design adjustments for better mobile experience.
feat: Implement package management utilities with JSON endpoints for listing and uninstalling packages
feat: Create plugin management utilities with endpoints for listing, configuring, and installing plugins
feat: Develop schedule and trigger management utilities with CRUD operations for schedules and triggers
- Implemented a new SPA page for LLM Bridge and MCP Server settings in `llm-config.js`.
- Added functionality for managing LLM and MCP configurations, including toggling, saving settings, and testing connections.
- Created HTTP endpoints in `llm_utils.py` for handling LLM chat, status checks, and MCP server configuration.
- Integrated model fetching from LaRuche and Ollama backends.
- Enhanced error handling and logging for better debugging and user feedback.
- Implemented LokiUtils class with GET and POST endpoints for managing scripts, jobs, and payloads.
- Added SentinelUtils class with GET and POST endpoints for managing events, rules, devices, and notifications.
- Both classes include error handling and JSON response formatting.
- Implemented methods for fetching AI stats, training history, and recent experiences.
- Added functionality to set operation mode (MANUAL, AUTO, AI) with appropriate handling.
- Included helper methods for querying the database and sending JSON responses.
- Integrated model metadata extraction for visualization purposes.
infinition