AI-SystemAssist 0.2.0

A simple HTTP server that lets AI agents (or curl) send shell commands to be executed with elevated privileges and receive the output.

AI-SystemAssist

A tiny, easy-to-use HTTP server that lets AI agents (or humans with curl/wget) send shell commands to be executed on the machine and receive the output back.

Intended use: Give an LLM / agent the ability to run commands on a machine over HTTP and get results.

⚠️ SECURITY WARNING

• This server executes arbitrary shell commands.
• Run it only on machines you control.
• Default binding is 127.0.0.1 (localhost only).
• Always use a strong auth token.
• To execute commands as root/admin, start the server with sudo.
• Do not expose this on the public internet without strong additional protections (VPN, firewall, TLS reverse proxy, etc.).

Installation

From the source directory (development):

pip install -e .

Or build & install:

pip install .

Quick Start

# Start the server (will generate a token if none provided)
sudo ai-systemassist

# Or with explicit token and options
AI_SYSTEMASSIST_TOKEN=my-super-secret-token ai-systemassist --host 127.0.0.1 --port 8765

Environment variables (also supported):

• AI_SYSTEMASSIST_TOKEN
• AI_SYSTEMASSIST_HOST
• AI_SYSTEMASSIST_PORT

Usage from curl / wget (very easy)

1. With generated or provided token

TOKEN="your-token-here"

# Simple - raw POST body is treated as the command
curl -X POST -d 'whoami && id' \
  -H "X-Agent-Token: $TOKEN" \
  http://127.0.0.1:8765/execute

# JSON body (recommended for complex cases)
curl -X POST \
  -H "Content-Type: application/json" \
  -H "X-Agent-Token: $TOKEN" \
  -d '{"command": "ls -la /", "timeout": 30}' \
  http://127.0.0.1:8765/execute

# Query param (quick and dirty - visible in logs)
curl "http://127.0.0.1:8765/execute?token=$TOKEN&cmd=uptime"

2. Example response

{
  "command": "whoami && id",
  "success": true,
  "returncode": 0,
  "stdout": "root\nuid=0(root) gid=0(root) groups=0(root)\n",
  "stderr": "",
  "duration": 0.012
}

Using wget

wget -qO- --post-data='ls -l' \
  --header="X-Agent-Token: $TOKEN" \
  http://127.0.0.1:8765/execute

Endpoints

Endpoint	Method	Description
/execute	POST	Run a command. Auth required.
/execute	GET	Same as POST (useful for simple queries)
/health	GET	Basic health + version info
/	GET	API information + examples

Request formats supported on /execute

• JSON: { "command": "ls", "timeout": 30, "cwd": "/tmp" }
• Form: command=ls or cmd=ls
• Raw body: echo hello | cat
• Query params: ?cmd=ls&token=...

Auth can be sent as:

• Header: X-Agent-Token: xxx
• Header: Authorization: Bearer xxx
• Header: X-Auth-Token: xxx
• Query: ?token=xxx

Running as Admin / Root

sudo ai-systemassist --token "super-secret"
# or
sudo -E ai-systemassist   # preserves env vars including AI_SYSTEMASSIST_TOKEN

All commands will then run as root.

Configuration / CLI

ai-systemassist --help

Options:

• --host, --port
• --token
• --allow-cors

Python usage (advanced)

from ai_systemassist.server import create_app, run_server

app = create_app(auth_token="mytoken")
# then run with your own WSGI server if desired (gunicorn, waitress, etc.)

Development

pip install -e ".[dev]"

For AI Agents

See AGENTS.md for detailed instructions written specifically for AI agents and LLMs on how to use this tool effectively (authentication, request formats, response handling, best practices, and safety guidelines).

License

MIT