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>
16 lines
714 B
TypeScript
16 lines
714 B
TypeScript
/// <reference types="node" />
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import * as fs from 'fs';
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import * as fsStat from '@nodelib/fs.stat';
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import Settings from '../settings';
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import { Entry, ErrnoException, Pattern, ReaderOptions } from '../types';
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export default abstract class Reader<T> {
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protected readonly _settings: Settings;
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protected readonly _fsStatSettings: fsStat.Settings;
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constructor(_settings: Settings);
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abstract dynamic(root: string, options: ReaderOptions): T;
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abstract static(patterns: Pattern[], options: ReaderOptions): T;
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protected _getFullEntryPath(filepath: string): string;
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protected _makeEntry(stats: fs.Stats, pattern: Pattern): Entry;
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protected _isFatalError(error: ErrnoException): boolean;
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}
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