Caddy Reverse Proxy for Self-Hosted AI with Automatic TLS

Caddy is one of the simplest ways to expose self-hosted AI services without hand-managing certificates. It gives you readable hostnames, automatic HTTPS, and a clean place to add access rules before requests ever reach your model stack.

Start with a private-first design

Before publishing anything, decide whether the service should be public at all. If the answer is no, read How to Secure a Self-Hosted AI Server and keep the service behind VPN or private network access.

Keep the upstream simple

Point Caddy at a stable local port for Open WebUI, Ollama, or a document assistant. Avoid proxying multiple experimental services through one fragile container.

Configure TLS and routing

Use a separate hostname for each service so logs, certificates, and access policies stay clear. Caddy will issue and renew certificates automatically, but you still need to protect admin routes and internal dashboards.

For the application side, compare Open WebUI vs AnythingLLM so you know which interface deserves external access.

Add access controls

Protect sensitive paths with HTTP authentication, IP allowlists, or an identity-aware gateway. This is especially important for admin pages, upload endpoints, and RAG workspaces that hold private documents.

Keep observability in view

Watch access logs for repeated failures, odd geographies, or sudden traffic spikes. A reverse proxy should be part of your security story, not just a convenience layer.

Conclusion

Caddy makes secure exposure manageable when you treat it as a control point. Keep the design minimal, require authentication where needed, and only publish the services you are willing to support.

FAQ

Do I still need a firewall?

Yes. Caddy is not a replacement for network filtering.

Can Caddy handle multiple AI apps?

Yes, but separate hostnames and policies are easier to operate than one overloaded catch-all route.

Is automatic TLS enough on its own?

No. Certificates are only one part of safe public exposure.