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>
21 lines
392 B
JavaScript
21 lines
392 B
JavaScript
import { stepsOrder } from './batcher.mjs';
|
|
import { frame, cancelFrame } from './frame.mjs';
|
|
|
|
/**
|
|
* @deprecated
|
|
*
|
|
* Import as `frame` instead.
|
|
*/
|
|
const sync = frame;
|
|
/**
|
|
* @deprecated
|
|
*
|
|
* Use cancelFrame(callback) instead.
|
|
*/
|
|
const cancelSync = stepsOrder.reduce((acc, key) => {
|
|
acc[key] = (process) => cancelFrame(process);
|
|
return acc;
|
|
}, {});
|
|
|
|
export { cancelSync, sync };
|