Firewall and Local AI Control Plane
March 11 connected two important ArgoBox themes: infrastructure control and local AI.
The firewall module work focused on OPNsense integration and operator UX. The goal was not to make firewall management flashy; it was to make network state understandable and safe to operate from the ArgoBox admin surface.
The Ollama work focused on Cloudflare Pages integration so local model workflows could sit behind the same product shell as the rest of the platform. That matters because ArgoBox is not just a website. It is a control plane that needs to bridge browser UI, edge deployment, and private lab services without exposing raw infrastructure.
What Changed
- Firewall control module work advanced the OPNsense-backed admin experience.
- Local AI endpoints were documented and tested through the Cloudflare Pages deployment model.
- Verification notes were added so future sessions can distinguish app issues from tunnel, proxy, or model-service issues.
Why It Matters
ArgoBox feels more trustworthy when infrastructure and AI controls use clear boundaries. A firewall page should not be a pile of raw API calls, and a local model service should not require visitors to understand the private network behind it.
This session tightened that product boundary.
Source Sessions
Vaults/argobox/ops/sessions/2026-03-11/session-20260311-firewall-module.mdVaults/argobox/ops/sessions/2026-03-11/OLLAMA-CLOUDFLARE-PAGES-SESSION.md