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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>
35 lines
558 B
JSON
35 lines
558 B
JSON
{
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"name": "shebang-command",
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"version": "2.0.0",
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"description": "Get the command from a shebang",
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"license": "MIT",
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"repository": "kevva/shebang-command",
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"author": {
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"name": "Kevin Mårtensson",
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"email": "kevinmartensson@gmail.com",
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"url": "github.com/kevva"
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},
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"engines": {
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"node": ">=8"
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},
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"scripts": {
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"test": "xo && ava"
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},
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"files": [
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"index.js"
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],
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"keywords": [
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"cmd",
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"command",
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"parse",
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"shebang"
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],
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"dependencies": {
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"shebang-regex": "^3.0.0"
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},
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"devDependencies": {
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"ava": "^2.3.0",
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"xo": "^0.24.0"
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}
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}
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