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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>
27 lines
633 B
JavaScript
27 lines
633 B
JavaScript
var memoize = require('./memoize');
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/** Used as the maximum memoize cache size. */
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var MAX_MEMOIZE_SIZE = 500;
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/**
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* A specialized version of `_.memoize` which clears the memoized function's
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* cache when it exceeds `MAX_MEMOIZE_SIZE`.
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*
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* @private
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* @param {Function} func The function to have its output memoized.
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* @returns {Function} Returns the new memoized function.
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*/
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function memoizeCapped(func) {
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var result = memoize(func, function(key) {
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if (cache.size === MAX_MEMOIZE_SIZE) {
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cache.clear();
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}
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return key;
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});
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var cache = result.cache;
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return result;
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}
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module.exports = memoizeCapped;
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