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>
20 lines
727 B
JavaScript
20 lines
727 B
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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exports.default = _unsupportedIterableToArray;
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var _arrayLikeToArray = require("./arrayLikeToArray.js");
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function _unsupportedIterableToArray(o, minLen) {
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if (!o) return;
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if (typeof o === "string") return (0, _arrayLikeToArray.default)(o, minLen);
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var name = Object.prototype.toString.call(o).slice(8, -1);
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if (name === "Object" && o.constructor) name = o.constructor.name;
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if (name === "Map" || name === "Set") return Array.from(o);
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if (name === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(name)) {
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return (0, _arrayLikeToArray.default)(o, minLen);
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}
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}
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//# sourceMappingURL=unsupportedIterableToArray.js.map
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