- Introduced comprehensive NLP processing modules for intent classification, entity extraction, and context analysis
- Created AI router with rate-limited endpoints for command interpretation and execution
- Added prompt templates for different AI models with configurable system and user prompts
- Implemented robust type definitions for AI-related interfaces and schemas
- Enhanced security and error handling in AI processing pipeline
- Introduced WebSocket client for real-time Home Assistant event streaming
- Created context management system for tracking resource relationships and state
- Implemented performance monitoring and optimization utilities
- Added security middleware with token validation, rate limiting, and input sanitization
- Extended tool registry with enhanced tool registration and execution capabilities
- Expanded test coverage for new modules and added comprehensive test scenarios
- Improved type safety and added robust error handling across new modules
