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>
15 lines
555 B
TypeScript
15 lines
555 B
TypeScript
import type { Packet, RawData } from "engine.io-parser";
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import { BaseWS } from "./websocket.js";
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/**
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* WebSocket transport based on the `WebSocket` object provided by the `ws` package.
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*
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* Usage: Node.js, Deno (compat), Bun (compat)
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*
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* @see https://developer.mozilla.org/en-US/docs/Web/API/WebSocket
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* @see https://caniuse.com/mdn-api_websocket
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*/
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export declare class WS extends BaseWS {
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createSocket(uri: string, protocols: string | string[] | undefined, opts: Record<string, any>): any;
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doWrite(packet: Packet, data: RawData): void;
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}
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