Add comprehensive frontend UI and distributed infrastructure

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>
This commit is contained in:
anthonyrawlins
2025-07-10 08:41:59 +10:00
parent fc0eec91ef
commit 85bf1341f3
28348 changed files with 2646896 additions and 69 deletions

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import count from "../count.js";
import quantile from "../quantile.js";
export default function thresholdFreedmanDiaconis(values, min, max) {
const c = count(values), d = quantile(values, 0.75) - quantile(values, 0.25);
return c && d ? Math.ceil((max - min) / (2 * d * Math.pow(c, -1 / 3))) : 1;
}

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import count from "../count.js";
import deviation from "../deviation.js";
export default function thresholdScott(values, min, max) {
const c = count(values), d = deviation(values);
return c && d ? Math.ceil((max - min) * Math.cbrt(c) / (3.49 * d)) : 1;
}

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import count from "../count.js";
export default function thresholdSturges(values) {
return Math.max(1, Math.ceil(Math.log(count(values)) / Math.LN2) + 1);
}