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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
454 B
TypeScript
16 lines
454 B
TypeScript
import { Polling } from "./polling.js";
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/**
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* HTTP long-polling based on the built-in `fetch()` method.
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*
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* Usage: browser, Node.js (since v18), Deno, Bun
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*
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* @see https://developer.mozilla.org/en-US/docs/Web/API/fetch
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* @see https://caniuse.com/fetch
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* @see https://nodejs.org/api/globals.html#fetch
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*/
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export declare class Fetch extends Polling {
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doPoll(): void;
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doWrite(data: string, callback: () => void): void;
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private _fetch;
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}
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