85bf1341f3
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
495 B
Markdown
35 lines
495 B
Markdown
# shebang-command [](https://travis-ci.org/kevva/shebang-command)
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> Get the command from a shebang
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## Install
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```
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$ npm install shebang-command
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```
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## Usage
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```js
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const shebangCommand = require('shebang-command');
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shebangCommand('#!/usr/bin/env node');
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//=> 'node'
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shebangCommand('#!/bin/bash');
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//=> 'bash'
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```
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## API
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### shebangCommand(string)
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#### string
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Type: `string`
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String containing a shebang.
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