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>
20 lines
594 B
JavaScript
20 lines
594 B
JavaScript
/**
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* This should only ever be modified on the client otherwise it'll
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* persist through server requests. If we need instanced states we
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* could lazy-init via root.
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*/
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const globalProjectionState = {
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/**
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* Global flag as to whether the tree has animated since the last time
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* we resized the window
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*/
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hasAnimatedSinceResize: true,
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/**
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* We set this to true once, on the first update. Any nodes added to the tree beyond that
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* update will be given a `data-projection-id` attribute.
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*/
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hasEverUpdated: false,
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};
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export { globalProjectionState };
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