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>
17 lines
661 B
JavaScript
17 lines
661 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 = _classStaticPrivateFieldSpecGet;
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var _classApplyDescriptorGet = require("classApplyDescriptorGet");
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var _assertClassBrand = require("assertClassBrand");
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var _classCheckPrivateStaticFieldDescriptor = require("classCheckPrivateStaticFieldDescriptor");
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function _classStaticPrivateFieldSpecGet(receiver, classConstructor, descriptor) {
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_assertClassBrand(classConstructor, receiver);
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_classCheckPrivateStaticFieldDescriptor(descriptor, "get");
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return _classApplyDescriptorGet(receiver, descriptor);
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}
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//# sourceMappingURL=classStaticPrivateFieldSpecGet.js.map
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