- Add consistent Bun test framework imports to all test files
- Remove duplicate import statements
- Ensure uniform import style for describe, expect, and test functions
- Simplify test file import configurations
- Modify tsconfig.json to relax strict type checking for gradual migration
- Update test files to use more flexible type checking and mocking
- Add type-safe mock and test utility functions
- Improve error handling and type inference in test suites
- Export Tool interface and tools list for better testing support
- Replaced Express with Elysia for improved performance and type safety
- Integrated Elysia middleware for rate limiting, security headers, and request validation
- Refactored security utilities to work with Elysia's context and request handling
- Updated token management and validation logic
- Added comprehensive security headers and input sanitization
- Simplified server initialization and error handling
- Updated documentation with new setup and configuration details
- Refactored security middleware tests with improved type safety and mock configurations
- Updated token validation tests with more precise token generation and expiration scenarios
- Improved input sanitization and request validation test coverage
- Added comprehensive test cases for error handling and security header configurations
- Enhanced test setup with better environment and secret management
- Added `bun-types` to package.json dev dependencies
- Updated tsconfig.json to include Bun types and test directory
- Updated README.md with correct author attribution
- Enhanced test configurations to support Bun testing environment
- 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
