85bf1341f3
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
647 B
JavaScript
22 lines
647 B
JavaScript
"use client";
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// src/useIsFetching.ts
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import * as React from "react";
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import { notifyManager } from "@tanstack/query-core";
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import { useQueryClient } from "./QueryClientProvider.js";
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function useIsFetching(filters, queryClient) {
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const client = useQueryClient(queryClient);
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const queryCache = client.getQueryCache();
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return React.useSyncExternalStore(
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React.useCallback(
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(onStoreChange) => queryCache.subscribe(notifyManager.batchCalls(onStoreChange)),
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[queryCache]
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),
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() => client.isFetching(filters),
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() => client.isFetching(filters)
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);
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}
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export {
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useIsFetching
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};
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//# sourceMappingURL=useIsFetching.js.map
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