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>
31 lines
895 B
JavaScript
31 lines
895 B
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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const async_1 = require("../readers/async");
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class AsyncProvider {
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constructor(_root, _settings) {
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this._root = _root;
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this._settings = _settings;
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this._reader = new async_1.default(this._root, this._settings);
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this._storage = [];
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}
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read(callback) {
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this._reader.onError((error) => {
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callFailureCallback(callback, error);
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});
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this._reader.onEntry((entry) => {
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this._storage.push(entry);
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});
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this._reader.onEnd(() => {
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callSuccessCallback(callback, this._storage);
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});
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this._reader.read();
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}
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}
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exports.default = AsyncProvider;
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function callFailureCallback(callback, error) {
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callback(error);
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}
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function callSuccessCallback(callback, entries) {
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callback(null, entries);
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}
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