myai - Firewall-Safe AI CLI Tool

A production-ready CLI tool that works on restricted college networks by using HTTPS-only communication (port 443) with a disguised backend API.

Features

✅ Firewall-Safe: Works on heavily restricted Wi-Fi (HTTPS port 443 only)
✅ No Local AI: All processing happens on your secure backend
✅ Smart File Extension Detection: Auto-formats output based on file type
✅ Production-Ready: Built with security and reliability in mind
✅ Easy to Use: Simple command-line interface

Installation

``bash
npm install -g myai-cli
`

Quick Start

$3

`bash

Print to terminal

myai "explain binary search"

Save to file with automatic formatting

myai "write a DFS algorithm in C++" --out dfs.cpp
myai "explain paging in OS" --out paging.md
myai "create a Python REST API" --out api.py
`

$3

#### Generate C++ Code
`bash
myai "implement quicksort with comments" --out quicksort.cpp
`

#### Generate Python Script
`bash
myai "create a web scraper using requests" --out scraper.py
`

#### Create Markdown Notes
`bash
myai "explain TCP vs UDP" --out networking.md
`

#### Generate JSON Data
`bash
myai "create a sample user schema with 5 users" --out users.json
`

#### Generate Configuration
`bash
myai "create a docker-compose for nginx and postgres" --out docker-compose.yml
`

Supported File Types

The CLI automatically detects file extensions and formats output appropriately:

Code Files (clean code only, no markdown):
- C++: .cpp, .c, .h
- Python: .py
- JavaScript/TypeScript: .js, .ts, .jsx, .tsx
- Java: .java
- Go: .go
- Rust: .rs
- And many more...

Documentation:
- Markdown: .md (formatted with headers, code blocks, etc.)
- Text: .txt (plain text)

Data Formats (valid syntax only):
- JSON: .json
- YAML: .yaml, .yml
- XML: .xml

Configuration

$3

Set a custom backend URL via environment variable:

`bash
export MYAI_BACKEND=https://your-backend.vercel.app/api/query
`

Or on Windows (PowerShell):

`powershell
$env:MYAI_BACKEND="https://your-backend.vercel.app/api/query"
`

Command-Line Options

`
Usage: myai "" [--out ]

Options:
--out, -o Output file path (with extension) [string]
-h, --help Show help [boolean]
-v, --version Show version number [boolean]

Examples:
myai "write a DFS algorithm in C++" --out dfs.cpp
myai "explain virtual memory" --out notes.md
myai "create a REST API in Python"
``

Why This Works on College Wi-Fi

1. HTTPS Only (Port 443): Uses standard web traffic that firewalls allow
2. No WebSockets: Only simple HTTP POST requests
3. No Streaming: Single request-response pattern
4. Disguised Backend: API looks like a generic query service
5. No Local AI: Doesn't download models or run suspicious processes

Troubleshooting

$3

1. Check your internet connection
2. Verify the backend URL is correct
3. Try accessing the backend URL in a browser
4. Check if your firewall blocks HTTPS requests

$3

The backend API key is not configured. Contact the backend administrator.

$3

Too many requests. Wait a minute and try again.

Security

- ✅ All communication over HTTPS (encrypted)
- ✅ No API keys stored in CLI
- ✅ No telemetry or tracking
- ✅ Open source and auditable

License

MIT

Support

For issues or questions, open an issue on GitHub.