85bf1341f3
Frontend Enhancements: - Complete React TypeScript frontend with modern UI components - Distributed workflows management interface with real-time updates - Socket.IO integration for live agent status monitoring - Agent management dashboard with cluster visualization - Project management interface with metrics and task tracking - Responsive design with proper error handling and loading states Backend Infrastructure: - Distributed coordinator for multi-agent workflow orchestration - Cluster management API with comprehensive agent operations - Enhanced database models for agents and projects - Project service for filesystem-based project discovery - Performance monitoring and metrics collection - Comprehensive API documentation and error handling Documentation: - Complete distributed development guide (README_DISTRIBUTED.md) - Comprehensive development report with architecture insights - System configuration templates and deployment guides The platform now provides a complete web interface for managing the distributed AI cluster with real-time monitoring, workflow orchestration, and agent coordination capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
15 lines
602 B
Python
15 lines
602 B
Python
from sqlalchemy import Column, Integer, String, DateTime
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from sqlalchemy.sql import func
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from ..core.database import Base
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class Agent(Base):
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__tablename__ = "agents"
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id = Column(String, primary_key=True, index=True)
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endpoint = Column(String, nullable=False)
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model = Column(String, nullable=False)
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specialty = Column(String, nullable=False)
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max_concurrent = Column(Integer, default=2)
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current_tasks = Column(Integer, default=0)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), onupdate=func.now()) |