- Introduced detailed test suites for security middleware components
- Added robust test coverage for token encryption, decryption, and validation
- Implemented comprehensive tests for input sanitization and error handling
- Created test scenarios for rate limiting and security header configurations
- Enhanced test infrastructure for security-related modules with edge case handling
- 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
