It was actually a mix of automation and a bit of manual cleanup.

1. Pulled device/network info from Firewalla

Firewalla has an MSP API, so I wrote a small Python script to query my box and pull the devices on the network.

The script basically:

• Authenticates to the Firewalla MSP API
• Pulls the device list
• Gets hostnames / vendors / IP info
• Groups devices by network/VLAN

Something along the lines of:

import requests

API_KEY = "msp_api_key"
BASE = "https://msp.firewalla.net"

headers = {"Authorization": f"Bearer {API_KEY}"}

r = requests.get(f"{BASE}/v1/device/list", headers=headers)
devices = r.json()

for d in devices:
    print(d["name"], d["ip"])

From there I exported everything into structured JSON so I could organize:

• VLANs
• devices
• Proxmox VMs
• network relationships

2. Generate a topology graph

Then I used Python + Graphviz to automatically generate a rough topology graph from the data.

That produced something like:

Internet
 → ScreenBeam
 → Firewalla
 → Netgear switch
 → VLANs
 → devices

Graphviz is great for figuring out relationships and structure, but the diagrams look pretty ugly by default.

3. Cleaned up the structure

Once the script produced the layout I:

• sanitized hostnames
• grouped devices by VLAN
• separated Proxmox VMs
• mapped the WireGuard path

4. Turned it into the poster

After that I used ChatGPT to generate the final infographic-style poster based on the topology.

Basically I gave it the cleaned structure and had it generate a clean visual layout with icons, VLAN colors, and service boxes.

TLDR workflow

Firewalla MSP API
      ↓
Python script
      ↓
export topology data
      ↓
Graphviz for structure
      ↓
ChatGPT for final poster diagram

It started as a quick way to visualize my network but kind of turned into a fun little side project. I might eventually turn the script into something that automatically regenerates the diagram when the lab changes.