Major Features:
✅ JWT Bearer Token authentication system with secure token management
✅ API key generation and management with scoped permissions
✅ Complete user management (registration, login, logout, password change)
✅ Frontend authentication components and context integration
Backend Architecture Improvements:
✅ CORS configuration via environment variables (CORS_ORIGINS)
✅ Dependency injection pattern for unified coordinator
✅ Database schema fixes with UUID support and SQLAlchemy compliance
✅ Task persistence replaced in-memory storage with database-backed system
✅ Service separation following Single Responsibility Principle
✅ Fixed SQLAlchemy metadata column naming conflicts
Infrastructure & Testing:
✅ Comprehensive Jest unit testing and Playwright e2e testing infrastructure
✅ GitHub Actions CI/CD pipeline integration
✅ Enhanced API clients matching PROJECT_PLAN.md specifications
✅ Docker Swarm deployment with proper networking and service connectivity
Database & Security:
✅ UUID-based user models with proper validation
✅ Unified database schema with authentication tables
✅ Token blacklisting and refresh token management
✅ Secure password hashing with bcrypt
✅ API key scoping and permissions system
API Enhancements:
✅ Authentication endpoints (/api/auth/*)
✅ Task management with database persistence
✅ Enhanced monitoring and health check endpoints
✅ Comprehensive error handling and validation
Deployment:
✅ Successfully deployed to Docker Swarm at https://hive.home.deepblack.cloud✅ All services operational with proper networking
✅ Environment-based configuration support
🛠️ Technical Debt Resolved:
- Fixed global coordinator instances with proper dependency injection
- Replaced hardcoded CORS origins with environment variables
- Unified User model schema conflicts across authentication system
- Implemented database persistence for critical task storage
- Created comprehensive testing infrastructure
This release transforms Hive from a development prototype into a production-ready
distributed AI orchestration platform with enterprise-grade authentication,
proper architectural patterns, and robust deployment infrastructure.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major architectural improvement to replace in-memory task storage with
database-backed persistence while maintaining backward compatibility.
Changes:
- Created Task SQLAlchemy model matching database schema
- Added Workflow and Execution SQLAlchemy models
- Created TaskService for database CRUD operations
- Updated UnifiedCoordinator to use database persistence
- Modified task APIs to leverage database storage
- Added task loading from database on coordinator initialization
- Implemented status change persistence during task execution
- Enhanced task cleanup with database support
- Added comprehensive task statistics from database
Benefits:
- Tasks persist across application restarts
- Better scalability and reliability
- Historical task data retention
- Comprehensive task filtering and querying
- Maintains in-memory cache for performance
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
