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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>
22 lines
709 B
TypeScript
22 lines
709 B
TypeScript
export declare const nextTick: (callback: Function, ...args: any[]) => void;
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export declare const globalThisShim: typeof globalThis;
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export declare const defaultBinaryType = "nodebuffer";
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export declare function createCookieJar(): CookieJar;
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interface Cookie {
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name: string;
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value: string;
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expires?: Date;
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}
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/**
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* @see https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Set-Cookie
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*/
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export declare function parse(setCookieString: string): Cookie;
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export declare class CookieJar {
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private _cookies;
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parseCookies(values: string[]): void;
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get cookies(): IterableIterator<[string, Cookie]>;
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addCookies(xhr: any): void;
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appendCookies(headers: Headers): void;
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}
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export {};
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