haylan/LLM-Server
1
0
Fork 0
Code Issues 9 Pull Requests Actions Packages Projects Releases Wiki Activity

feat(scripts): fold model downloads into update.sh, skip if already present

Browse Source 
Today's embedding-server crash-loop (missing nomic-embed-text GGUF) was a
manual step nobody ran. update.sh now runs both downloader profiles
itself, every time, before bringing services up -- no separate command to
remember.

- docker-compose.yml: downloader/downloader-embedding commands gain a
  `test -f ... && skip || curl ...` guard, so re-running update.sh never
  re-downloads an existing model file.
- scripts/update.sh: runs both profiles after image pull/build, before
  service recreation.
- scripts/download-model.sh removed -- folded in, redundant standalone
  script.
- README.md / docs/memory-knowledgebase.md updated accordingly.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018WHfjWrSEcGhCoeu6dQfDa
This commit is contained in:
haylan
2026-09-02 23:07:53 +02:00
co-authored by Claude-Bot
parent fb7cfc9148
commit e2dd106f74
5 changed files with 17 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1 -2
View File
@@ -7,11 +7,10 @@ See the wayfinder map ([issue #1](https://git.arthurerlich.de/haylan/LLM-Server/
## Quickstart
```bash
./scripts/download-model.sh
./scripts/update.sh
```
`update.sh` creates `.env` from `.env.example` if missing, fills in every secret and per-workload virtual key it can generate itself (random secrets via `openssl`, `OPENWEBUI_LITELLM_KEY`/`LITELLM_PGVECTOR_EMBEDDING_KEY` minted through LiteLLM's own `/key/generate` API, `SEARXNG_LAN_IP` resolved from `search.home` on this host), then pulls/builds/brings up the whole stack. Safe to re-run any time — it only fills in what's still blank and only recreates what changed. See [`docs/proxy-key-onboarding.md`](docs/proxy-key-onboarding.md) if a key mint fails and needs doing by hand.
`update.sh` creates `.env` from `.env.example` if missing, fills in every secret and per-workload virtual key it can generate itself (random secrets via `openssl`, `OPENWEBUI_LITELLM_KEY`/`LITELLM_PGVECTOR_EMBEDDING_KEY` minted through LiteLLM's own `/key/generate` API, `SEARXNG_LAN_IP` resolved from `search.home` on this host), downloads both model GGUFs into the `models` volume if they're not there yet, then pulls/builds/brings up the whole stack. Safe to re-run any time — it only fills in what's still blank, skips models already downloaded, and only recreates what changed. See [`docs/proxy-key-onboarding.md`](docs/proxy-key-onboarding.md) if a key mint fails and needs doing by hand.
- Open WebUI: `http://<this-machine>:3000` locally, or `ai.home` / `ai.haylan.ch` once routed through Nginx Proxy Manager — see [`docs/network-access.md`](docs/network-access.md). First signup becomes the admin account (`WEBUI_AUTH` is on).
- llama.cpp's own API is internal-only now — everything routes through the AI proxy below.