Dashboard:
- New 'Always-on services' section with cards for Parakeet and Magpie
- Each card: host:port, model loaded, status pill (Healthy/Unhealthy/Starting/Not configured)
- Start, Restart, Stop buttons. Buttons disabled when not applicable for current state
- Restart counter shown when > 1 (would have surfaced the old magpie crash loop)
Backend:
- New /api/services GET: docker container state + http health for each support service
- New POST /api/services/{name}/{action} for start | stop | restart
- services.py module: docker_state, run_action via SSH
- config.py: PARAKEET_HOST/USER/CONTAINER and MAGPIE_* env vars, default to spark2_*
- health.py: use per-service hosts (no longer hard-wired to spark2_host)
Package:
- sparkConfig.yaml.ts: add 6 new optional fields
- configureSparks action: optional 'Parakeet host', 'Parakeet container', 'Magpie host', 'Magpie container' fields; descriptions explain they default to Spark 2 when blank
- Handler normalizes nulls to empty strings before merge
- main.ts: pass new env vars to container
- bump to 0.2.0:0
Volume magpie-model-cache was owned by root, container drops to uid 1000. Fix:
docker run --rm -v magpie-model-cache:/cache alpine chown -R 1000:1000 /cache
+ docker restart magpie-tts. After ~3 GB NGC model download, healthy on :9000.
Adds a second sdk.createInterface with type='api' and path='/api/endpoints' on the
same uiPort (9999). StartOS dashboard now shows two service interfaces: Web UI and
OpenAI-compatible API. The API URL is discoverable to other services without users
needing to remember the /api/endpoints suffix.
- showPublicKey now uses result.group: install command and raw key are each their own one-click copy box; description is brief
- /api/endpoints returns stable shape { vllm, parakeet, magpie } with base_url + model + ready, for other LAN services to consume without hardcoding Spark IPs
- health.py: parakeet/magpie now also expose base_url
- README: documented /api/endpoints shape
Per user correction: '<spark-user>' is not the DGX Spark factory default. Generic-ize:
- configureSparks: no default user; placeholder 'your SSH username'
- sparkConfig schema: empty string defaults
- main.ts env fallback: empty
- showPublicKey: drop the '<spark-user>' fallback; skip Spark if user not configured
- Update feedback memory with the correction
- configureSparks.ts: generic placeholders (e.g. 192.168.1.10), no Alice-specific IPs; descriptions explain the role of each node instead of naming his hardware
- showPublicKey.ts: reads sparkConfig.yaml; emits a ready-to-paste one-liner (KEY='...' followed by 'ssh user@host "echo $KEY >> authorized_keys"' for each configured Spark). Falls back to generic instructions if Configure Sparks hasn't been run yet.
- /api/status now includes vllm.base_url for the OpenAI endpoint
- New endpoint panel in UI: base URL + model ID rows with copy buttons + collapsible curl example
- Bump version to 0.1.0:1
- models.yaml: add 'description' field for all 5 models (generic, anyone-can-use)
- ModelDef gains optional description: str | None field
- UI: render description below meta tags; mute the repo line further
- escapeHtml() for safety in case descriptions/names contain HTML chars
- Update runbook: how to add a new model with description
Aligned with sibling recipes in eugr/spark-vllm-docker. Applies on next swap to each model.
First real swap gemma4 -> qwen36 succeeded in 5:30 with --moe_backend=flashinfer_cutlass.
Grant