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>
24 lines
814 B
JavaScript
24 lines
814 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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const provider_1 = require("./provider");
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class ProviderAsync extends provider_1.default {
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constructor() {
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super(...arguments);
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this._reader = new async_1.default(this._settings);
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}
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async read(task) {
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const root = this._getRootDirectory(task);
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const options = this._getReaderOptions(task);
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const entries = await this.api(root, task, options);
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return entries.map((entry) => options.transform(entry));
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}
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api(root, task, options) {
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if (task.dynamic) {
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return this._reader.dynamic(root, options);
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}
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return this._reader.static(task.patterns, options);
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}
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}
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exports.default = ProviderAsync;
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