ClawHub

Snapmaker

Control and monitor Snapmaker 2.0 3D printers via their HTTP API. Status, job management, progress watching, and event monitoring.

Audits

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Agentic behavior and permission review.

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Pattern checks against bundled files.

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Multi-engine malware detections and file reputation.

Install

openclaw skills install snapmaker-2

Snapmaker 2.0 Skill

Control and monitor Snapmaker 2.0 3D printers via their HTTP API.

Features

  • Status monitoring - Real-time printer status (temperatures, progress, position)
  • Job management - Send, start, pause, resume, and stop print jobs
  • Safety features - Prevents interfering with active prints without confirmation
  • Progress watching - Live monitoring of print progress
  • Notification support - Detect print completion, filament issues, errors

Configuration

Create config.json in your workspace's snapmaker/ folder (e.g. ~/clawd/snapmaker/config.json). Start from config.json.example.

Config format:

{
  "ip": "192.168.0.32",
  "token": "your-token-here",
  "port": 8080
}

Finding your token: Open the Snapmaker Luban app, connect to your printer, and find the token in the connection settings. Copy it into your config.json.

Usage

Discovery

# Find Snapmaker printers on the local network (UDP broadcast, port 20054)
python3 scripts/snapmaker.py discover

# Probe a specific IP (useful across subnets)
python3 scripts/snapmaker.py discover --target 192.168.0.32

# JSON output
python3 scripts/snapmaker.py discover --json

Discovery uses the Snapmaker UDP broadcast protocol (no auth required). Falls back to HTTP probe using config if UDP gets no reply (e.g. different subnet).

Basic Commands

# Get current printer status
python3 scripts/snapmaker.py status

# Watch print progress (updates every 5 seconds)
python3 scripts/snapmaker.py watch

# Get status as JSON
python3 scripts/snapmaker.py status --json

Job Control

# Send a file (prepares but doesn't start)
python3 scripts/snapmaker.py send ~/prints/model.gcode

# Send and start immediately
python3 scripts/snapmaker.py send ~/prints/model.gcode --start --yes

# Pause current print
python3 scripts/snapmaker.py pause --yes

# Resume paused print
python3 scripts/snapmaker.py resume --yes

# Stop/cancel print (requires confirmation)
python3 scripts/snapmaker.py stop

Safety Flags

  • --yes - Skip confirmation prompts (use with caution!)
  • --force - Override safety checks (NOT RECOMMENDED)

All commands that modify state require confirmation unless --yes is provided.

API Endpoints

The skill uses these Snapmaker HTTP API v1 endpoints:

  • POST /api/v1/connect - Establish connection
  • GET /api/v1/status - Get printer status
  • POST /api/v1/prepare_print - Upload file
  • POST /api/v1/start_print - Start printing
  • POST /api/v1/pause - Pause print
  • POST /api/v1/resume - Resume print
  • POST /api/v1/stop - Stop/cancel print
  • GET /api/v1/print_file - Download last file

Status Fields

The status command returns:

  • status - Overall state (IDLE, RUNNING, PAUSED)
  • printStatus - Printing / Idle
  • progress - 0.0 to 1.0
  • fileName - Current/last file
  • currentLine / totalLines - G-code progress
  • elapsedTime / remainingTime - In seconds
  • nozzleTemperature1 / nozzleTargetTemperature1
  • heatedBedTemperature / heatedBedTargetTemperature
  • x / y / z - Current position
  • isFilamentOut - Filament runout detection
  • isEnclosureDoorOpen - Door state

Notifications

To detect events:

# Watch for completion
python3 scripts/snapmaker.py watch

# Or poll status in a loop
while true; do
  python3 scripts/snapmaker.py status --json | jq -r '.printStatus'
  sleep 10
done

Event detection:

  • Print complete - status == "IDLE" && progress >= 0.99
  • Filament out - isFilamentOut == true
  • Door opened - isEnclosureDoorOpen == true
  • Error - Check status field for errors

Safety Features

  1. Active print protection - Cannot send files while printing
  2. Confirmation prompts - All destructive actions require confirmation
  3. State validation - Commands check printer state before executing
  4. Clear warnings - Stop command shows prominent warning

Examples

Check if printer is busy

python3 scripts/snapmaker.py status | grep -q "RUNNING" && echo "Busy" || echo "Available"

Get remaining time

python3 scripts/snapmaker.py status --json | jq -r '.remainingTime'

Monitor temperatures

python3 scripts/snapmaker.py status --json | jq '{nozzle: .nozzleTemperature1, bed: .heatedBedTemperature}'

Troubleshooting

"Machine is not connected yet" (401 error):

  • The API requires calling /api/v1/connect first before any status queries
  • Example: curl -X POST "http://192.168.0.32:8080/api/v1/connect?token=YOUR_TOKEN"
  • The Python script handles this automatically on first request
  • Connection establishes a session that persists until the printer is powered off
  • If using raw curl commands, always call connect first

Connection refused:

  • Verify printer IP: ping 192.168.0.32
  • Check printer is powered on
  • Ensure you're on the same network

Invalid token:

  • Reconnect Luban to the printer (accept on touchscreen)
  • Copy the new token from Luban's connection settings
  • Update your config.json

Can't send file:

  • Check if printer is busy: python3 scripts/snapmaker.py status
  • Wait for current print to finish
  • Use --force only if absolutely necessary

References

Dependencies

  • Python 3.6+
  • requests library (install: pip3 install requests)

License

Part of OpenClaw skills collection.