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>
28 lines
790 B
JavaScript
28 lines
790 B
JavaScript
function _iterableToArrayLimit(r, l) {
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var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"];
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if (null != t) {
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var e,
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n,
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i,
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u,
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a = [],
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f = !0,
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o = !1;
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try {
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if (i = (t = t.call(r)).next, 0 === l) {
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if (Object(t) !== t) return;
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f = !1;
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} else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0);
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} catch (r) {
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o = !0, n = r;
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} finally {
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try {
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if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return;
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} finally {
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if (o) throw n;
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}
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}
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return a;
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}
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}
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module.exports = _iterableToArrayLimit, module.exports.__esModule = true, module.exports["default"] = module.exports; |