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>
20 lines
489 B
JavaScript
20 lines
489 B
JavaScript
import { frame, cancelFrame } from '../frameloop/frame.mjs';
|
|
|
|
/**
|
|
* Timeout defined in ms
|
|
*/
|
|
function delay(callback, timeout) {
|
|
const start = performance.now();
|
|
const checkElapsed = ({ timestamp }) => {
|
|
const elapsed = timestamp - start;
|
|
if (elapsed >= timeout) {
|
|
cancelFrame(checkElapsed);
|
|
callback(elapsed - timeout);
|
|
}
|
|
};
|
|
frame.read(checkElapsed, true);
|
|
return () => cancelFrame(checkElapsed);
|
|
}
|
|
|
|
export { delay };
|