- Improve intent confidence calculation with more nuanced scoring
- Add comprehensive keyword and pattern matching for better intent detection
- Refactor confidence calculation to handle various input scenarios
- Implement more aggressive boosting for specific action keywords
- Adjust parameter extraction logic for more robust intent parsing
- Standardized error handling across tool implementations
- Improved return type consistency for tool execution results
- Simplified configuration parsing and type definitions
- Enhanced type safety for various configuration schemas
- Cleaned up and normalized tool response structures
- Updated SSE and event subscription tool implementations
- 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
