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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>
19 lines
612 B
JavaScript
19 lines
612 B
JavaScript
/* Built-in method references for those with the same name as other `lodash` methods. */
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var nativeMax = Math.max,
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nativeMin = Math.min;
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/**
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* The base implementation of `_.inRange` which doesn't coerce arguments.
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*
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* @private
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* @param {number} number The number to check.
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* @param {number} start The start of the range.
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* @param {number} end The end of the range.
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* @returns {boolean} Returns `true` if `number` is in the range, else `false`.
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*/
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function baseInRange(number, start, end) {
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return number >= nativeMin(start, end) && number < nativeMax(start, end);
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}
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module.exports = baseInRange;
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