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>
27 lines
540 B
JavaScript
27 lines
540 B
JavaScript
'use strict';
|
|
|
|
// This example is used in the documentation.
|
|
|
|
// 1. const { parseArgs } = require('node:util'); // from node
|
|
// 2. const { parseArgs } = require('@pkgjs/parseargs'); // from package
|
|
const { parseArgs } = require('..'); // in repo
|
|
|
|
const args = ['-f', '--bar', 'b'];
|
|
const options = {
|
|
foo: {
|
|
type: 'boolean',
|
|
short: 'f'
|
|
},
|
|
bar: {
|
|
type: 'string'
|
|
}
|
|
};
|
|
const {
|
|
values,
|
|
positionals
|
|
} = parseArgs({ args, options });
|
|
console.log(values, positionals);
|
|
|
|
// Try the following:
|
|
// node simple-hard-coded.js
|