🚀 Release Hive Platform v1.1 - Complete Authentication & Architecture Overhaul

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>

backend/app/api/distributed_workflows.py

@@ -10,13 +10,16 @@ import asyncio
 import logging
 from datetime import datetime
 
-from ..core.unified_coordinator import UnifiedCoordinator, AgentType as TaskType, TaskPriority
+from ..core.unified_coordinator_refactored import UnifiedCoordinatorRefactored as UnifiedCoordinator
 
 logger = logging.getLogger(__name__)
 
 router = APIRouter(prefix="/api/distributed", tags=["distributed-workflows"])
 
-# Use unified coordinator from main application
+# Dependency function for coordinator injection (will be imported by main)
+def get_coordinator() -> UnifiedCoordinator:
+    """This will be overridden by main.py dependency injection"""
+    pass
 
 class WorkflowRequest(BaseModel):
     """Request model for workflow submission"""