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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>
7 lines
468 B
TypeScript
7 lines
468 B
TypeScript
import { UseSuspenseQueryOptions, UseSuspenseQueryResult } from './types.js';
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import { DefaultError, QueryKey, QueryClient } from '@tanstack/query-core';
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declare function useSuspenseQuery<TQueryFnData = unknown, TError = DefaultError, TData = TQueryFnData, TQueryKey extends QueryKey = QueryKey>(options: UseSuspenseQueryOptions<TQueryFnData, TError, TData, TQueryKey>, queryClient?: QueryClient): UseSuspenseQueryResult<TData, TError>;
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export { useSuspenseQuery };
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