feat: enhance security configuration and SSE management with robust token validation and client tracking

- Refactored `.env.example` with comprehensive security and configuration parameters
- Added new `security.config.ts` for centralized security configuration management
- Improved middleware with enhanced authentication, request validation, and error handling
- Updated SSE routes and manager with advanced client tracking, rate limiting, and connection management
- Implemented more granular token validation with IP-based rate limiting and connection tracking
- Added detailed error responses and improved logging for security-related events

.cursor/tasks

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+
+### 1. Code Quality & Structure
+
+- **Refactor Common Logic:**  
+  Identify duplicated logic (e.g., in token validations, SSE error handling, and API endpoints) and extract it into shared utility functions or middleware. This will reduce errors and simplify maintenance.
+
+- **Improve Type Safety:**  
+  Leverage TypeScript’s capabilities by refining interfaces and types—especially for API requests/responses and automation configurations. Consider creating more granular type definitions for advanced scenarios.
+
+- **Modularize and Organize Code:**  
+  Ensure that features like device control, automation management, and SSE handling are grouped into well-defined modules. Use dependency injection where possible to decouple component implementations from their usage.
+
+---
+
+### 2. API & Feature Enhancements
+
+- **Enhanced Authentication & Security:**  
+  - Strengthen token validation by adding expiration checks and perhaps support for multiple token schemes (e.g., JWT).  
+  - Introduce role-based access controls for varying user privileges.
+  - Implement rate limiting and request throttling to prevent abuse and ensure stability.
+
+- **SSE & Real-Time Updates:**  
+  - Enhance the SSE system to handle reconnection strategies, backoff algorithms, and error recovery automatically.
+  - Consider grouping subscriptions or providing a filtering mechanism on the server side to reduce unnecessary data transfer.
+
+- **Logging and Monitoring:**  
+  - Integrate structured logging (using JSON logs or a dedicated logging library) so that each endpoint, including error responses, contains detailed context.  
+  - Link logging with performance metrics to capture slow endpoints, especially for real-time updates and automation configurations.
+
+---
+
+### 3. Testing and Documentation
+
+- **Expanded Test Coverage:**  
+  - Write additional unit tests and integration tests, particularly for edge cases in automation rules and error scenarios.  
+  - Include tests for correct error handling in SSE, API endpoints, and when processing dynamic parameters.
+
+- **Live Documentation:**  
+  - Enhance the existing README and developer guides with setup instructions and API reference details.  
+  - Consider integrating tools (e.g., Swagger or Postman) to auto-generate interactive API documentation for easier onboarding.
+
+---
+
+### 4. Performance Optimization
+
+- **Bun Runtime Optimizations:**  
+  - Benchmark performance-critical paths (like SSE and automation processing) to identify latency or memory bottlenecks.  
+  - Use caching strategies where possible to reduce repetitive tasks (e.g., caching SSE subscription results or frequently requested device states).
+
+- **Concurrent Processing:**  
+  - Evaluate asynchronous patterns to further optimize I/O operations. Consider using job queues or background workers for tasks that could be decoupled from the main request/response cycle.
+
+---
+
+### 5. User Experience and Interface
+
+- **CLI Enhancements:**  
+  - Improve the command-line interface with clearer prompts, improved handling of invalid inputs, and built-in help texts for new users.  
+  - Look into adding progress indicators or spinners during long-running operations (e.g., during data collection or AI analysis).
+
+- **Dashboard or Admin Panel:**  
+  - Consider developing a lightweight web dashboard that visualizes device states, automation statuses, and real-time event logs—making it easier for users or admins to monitor the system.
+
+---
+
+### 6. AI Integration Improvements
+
+- **Refine OpenAI Interactions:**  
+  - Enhance error handling and retries when dealing with OpenAI API calls. Provide fallback scenarios (as already partly implemented) and clearer error messages.
+  - Update the prompt templates based on real usage patterns. You might even allow for user-customizable templates for different home automation scenarios.
+
+- **Contextual Analysis:**  
+  - Expand the analysis functionality so that the AI can provide more context-specific recommendations. For instance, analyze and suggest improvements in automation rules, security configurations, or performance optimizations in a more granular way.
+
+---
+
+### 7. Final Polishing and Deployment
+
+- **Environment Configurations:**  
+  - Ensure that environment variables and configuration files (like `.env.example`) are thoroughly documented.  
+  - Automate configuration checks and provide clear error logging if critical configuration values (such as tokens or host URLs) are missing.
+
+- **Deployment Ready:**  
+  - Finalize Docker configurations and scripts to enable smooth containerized deployments, perhaps including orchestration hints for multi-instance or load-balanced deployments.  
+  - Consider setting up a CI/CD pipeline to run tests, linting, and automated builds with every commit/pull request.
+
+- **UX/UI Finishing Touches:**  
+  - Polish any remaining rough edges in the user interface or command output.  
+  - Ensure consistent ANSI coloring/logging outputs and friendly error/warning messages across all user touchpoints (CLI, API, and dashboard).