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serverAppConfigs/serverAppConfigs-docs/Dankclaw/OpenWebUI.md
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Frank 0f203dfa41 docs(open-webui): document the 3-model LLM picker and host.containers.internal routing
The LLM backends section said two ROCmFPX endpoints; the fleet now serves
three (frank-large/medium/small) with different runtimes. Rewrite it, fix the
gotcha that claimed host.containers.internal does not resolve on a bridge
(it does — verified end-to-end for both on-host endpoints), and add a History
entry for the 2026-09-21 model-picker rebuild.
2026-09-21 16:30:18 -07:00

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OpenWebUI

OpenWebUI is a self-hosted chat interface for LLMs. It connects to OpenAI-compatible endpoints (vLLM, llama.cpp, Ollama) and adds RAG, plugins, tool calling, and multi-user support.

Host: Dankclaw — Port: 3005 (host) → 8080 (container) — Vhost: ai.franksdank.cloud routes straight to 192.168.0.143:3005 (unguarded — OpenWebUI enforces its own auth) — Boot-persistent: Quadlet — Docs: https://github.com/open-webui/open-webui

Facts

Item Value
Image ghcr.io/open-webui/open-webui:main (verified from the live quadlet unit)
Port 3005 (host) → 8080 (container). Port 3000 is Gitea's HTTP, so it is not usable.
Data volume /home/dank/Containers/open-webui/data → /app/backend/data
Backends Three fleet endpoints: frank-large (host.containers.internal:7770), frank-medium (192.168.0.235:7770), frank-small (host.containers.internal:7771) — see The LLM backends
Network Pinned bridge systemd-open-webui (10.89.3.0/24, gateway 10.89.3.1) — see History
Persistence Quadlet unit open-webui.service; [Install] WantedBy=default.target
Deploy scripts/deploy-open-webui-quadlet.sh dankclaw

The LLM backends

OpenWebUI serves the three fleet LLM endpoints. The model picker is built from the model table in webui.db (one row per model), NOT from live connection discovery — so the picker shows exactly the models seeded there.

Picker model Connection URL Runtime Host
frank-large http://host.containers.internal:7770/v1 unsloth llama.cpp (Strix Halo iGPU, 200k ctx) Dankclaw
frank-medium http://192.168.0.235:7770/v1 vllm-radiance TP=2 (FP8, DFlash2, 262k ctx) Dankserver
frank-small http://host.containers.internal:7771/v1 llama.cpp (RTX 3090, Gemma4-12B, 262k ctx) Dankclaw

Two gotchas make the wiring non-obvious:

  • llama.cpp /v1/models is Ollama-shaped. llama.cpp returns {"models":[{"name":...}]}; OpenWebUI's extract_data() only reads the OpenAI {"data":[{"id":...}]} shape, so connection discovery silently misses the llama.cpp endpoints (frank-large, frank-small). The fix is to set model_ids in each connection's api_config — when non-empty, OpenWebUI builds the model list directly and never fetches /v1/models. frank-medium (vLLM) serves the OpenAI shape and would discover fine, but uses model_ids too for consistency.
  • The host's own services are reached via host.containers.internal. The container sits on a netavark bridge; it can hairpin to a different host's LAN IP (dankserver 192.168.0.235) but not to its own host's non-published ports via the host LAN IP (192.168.0.143:7770/7771 is refused). host.containers.internal (169.254.1.2) resolves to the host on the bridge and reaches both llama.cpp services.

The Ollama connection is disabled (ollama.enable=false).

All three endpoints are bare-metal systemd services managed by this repository. Model swaps, context sizing, and spec tuning happen there. See the LLM knowledge base.

Chat web search is served by SearXNG on this host, wired in the quadlet (ENABLE_WEB_SEARCH, WEB_SEARCH_ENGINE=searxng, SEARXNG_QUERY_URL).

  • Access path: the backend calls http://192.168.0.143:8081/search?format=json directly — gluetun's published port, NOT the search.franksdank.cloud vhost. The Anubis→Authentik guard chain is a browser mechanism (proof-of-work + session flow); a plain HTTP client cannot solve it, and the internal port bypasses Caddy entirely.
  • Limiter: SearXNG caps non-HTML (JSON) requests at 4/IP/hour (API_MAX, a hardcoded Python constant — no config knob). The pass_ip list is checked FIRST and short-circuits the whole botdetection chain, and OpenWebUI's bridge egress (10.89.x) is in pass_ip, so the cap never applies. Verified: an 8-request burst from the container returned 8×200.
  • Config storage: OpenWebUI keeps web-search settings per-key in its SQLite config table (webui.db, web.search.*). The quadlet env vars seed that table on first start (fill-missing only); afterwards the DB is authoritative and Admin-UI edits persist there.

Boot persistence (Quadlet)

The unit lives at dankclaw/open-webui/quadlet/open-webui.container. On the host it installs to ~/.config/containers/systemd/open-webui.container. The generator turns it into open-webui.service. Because the unit sets [Install] WantedBy=default.target and user linger is on, it starts at boot. systemctl --user is-enabled open-webui.service reports generated (the quadlet boot-start state).

Volumes

Container path Host path
/app/backend/data /home/dank/Containers/open-webui/data

The data dir holds the database, RAG indexes, and uploads. The deploy script creates it if missing and preserves it across reruns.

Healthcheck

The quadlet carries a built-in healthcheck (30s interval, 3 retries, 300s start period). It checks two things from inside the container:

  1. App liveness — GET http://127.0.0.1:8080/health returns 200 ({"status":true}).
  2. Network liveness — a non-loopback interface exists in /sys/class/net. The dead-tap zombie state (History) leaves only lo behind, and this is the check that catches it.

podman ps shows the container as unhealthy if either fails. Probe manually at http://dankclaw:3005/health.

Retired instances

  • The compose open-webui service (port 3000) was never run: 3000 is Gitea's HTTP port, so it could not bind.
  • The bare-container open-webui on Dankserver (port 3000) pointed at a dead backend (:9090) and was removed. Its data dir is preserved on Dankserver in case it is needed.
  • The bare-container searxng on Dankserver (port 8081) was removed. SearXNG now runs only on Dankclaw behind Caddy.

Gotchas

  • The image tracks upstream main; pin a digest in the quadlet unit if reproducible rollback matters more than tracking. (The old "CPU-only host" framing is stale: this APU runs the gfx1151 ROCm build — see ComfyUI.)
  • The default admin account is created on first login; secure it immediately.
  • If the backend is loading (3–8 minute model load), OpenWebUI shows connection errors until the model is ready.
  • The on-host LLM services (frank-large :7770, frank-small :7771) are reached via host.containers.internal, NOT the host LAN IP: the container's netavark bridge cannot hairpin to its own host's non-published ports via 192.168.0.143 (connection refused), and the bridge gateway (10.89.3.1) lives in the rootless netns while llama-server runs in the host netns, so it refuses too. host.containers.internal (169.254.1.2) resolves to the host on the bridge and works — verified end-to-end for both endpoints. The Dankserver backend (frank-medium) is a different host, reached via its LAN IP 192.168.0.235:7770.

History

  • 2026-08-22 — slirp4netns → pinned bridge. The unit ran on Network=slirp4netns. The slirp4netns helper process died (no OOM, no kill entry, no crash log found), and the container kept running with only lo in its netns: published port 3005 accepted TCP and reset every request, so chat served empty responses for ~2 days. Nothing logged an error. Moving to a kernel bridge removes the per-container helper entirely, and the healthcheck's interface check makes the zombie state visible if it ever returns.

  • 2026-09-21 — model picker rebuilt for the 3-model fleet. The picker carried 39 stale rows (37 dead Ollama models + 2 frank-default-*) and was missing frank-medium. Rebuilt the model table to exactly frank-large/frank-medium/frank-small and set model_ids on each connection (llama.cpp's Ollama-shaped /v1/models is invisible to OpenWebUI's discovery). Pointed the two on-host endpoints at host.containers.internal — the bridge refuses the host LAN IP for non-published ports. All three verified end-to-end via /openai/chat/completions.

See Also