Activates the `rag.defaultIngestPolicy` KV registered in Phase 1
(#888) so users on a fresh install (or anyone who picks Manual mode)
no longer get every new ZIM auto-dispatched to the embed pipeline.
## Stacks on #888
This PR's base is `feat/kb-ingest-state-machine` (#888). The state
machine has to be in place for the decision function to be policy-aware;
GitHub will fast-forward the base to `rc` once #888 merges.
## Backend changes
- `decideScanAction` now takes a `policy: 'Always' | 'Manual'` argument
(defaults to `Always` for backward compatibility).
- New `ScanAction` kind: `create_pending`. Manual mode records that the
scanner has seen a new file (so the UI can surface a per-card Index
affordance later) without dispatching an EmbedFileJob.
- `scanAndSyncStorage` reads the KV and passes it through. The scan-result
log line now includes the active policy and a `waiting on user` count
for Manual-mode hits.
- `rag.defaultIngestPolicy` added to `SETTINGS_KEYS` so it's reachable
through the existing `GET/PATCH /api/system/settings` surface — no new
endpoint.
## Frontend changes
- New section in the KB panel between "Why upload" and "Processing Queue":
"Auto-index new content for AI? [Always | Manual]" — segmented radio
with copy explaining the 5-10× disk multiplier. Default Always.
- `useQuery('ingestPolicy')` reads the current value; clicking the
inactive option mutates and shows a notification confirming the new
behavior.
## Tests
- 14 unit tests on `decideScanAction` (was 9) — split into Always-mode
cases (preserves Phase 1's contract) and Manual-mode cases
(`create_pending`, `pending_decision → skip`, etc.).
- Type-check clean.
- Hot-patch + browser verification deferred until #888 lands; the state
machine smoke-tested cleanly on NOMAD3 in #888's PR, and this PR's
decision-tree changes are exhaustively unit-tested.
## RFC open question §3 — policy-change re-trigger
Switching Manual → Always doesn't auto-dispatch existing `pending_decision`
rows immediately. The next scan re-evaluates and dispatches them under
the new policy. This matches the RFC's "treat the switch as I've-
thought-about-it" instinct for the guardrail; full guardrail
implementation lands in Phase 3 task 14.
* feat(maps): add regional map downloads via go-pmtiles extract
* address Copilot review feedback on PR #780
- auto-refresh preflight on selection/maxzoom change with 400ms debounce and
requestId stale-safety so the confirm button no longer requires a two-step
"Estimate Size" -> "Start Download" dance
- safeUpdateProgress helper replaces fire-and-forget updateProgress().catch()
pattern so cancelled-job errors (code -1) can't surface as unhandled rejections
- gate world basemap source on worldBasemapReady - when ensureWorldBasemap()
fails we already delete world.pmtiles, so emitting the source was producing
404s on every tile request
- verify go-pmtiles binary SHA256 at image build time; upstream doesn't ship a
checksums file so per-arch hashes are pinned as build args with a regenerate
note when bumping PMTILES_VERSION
New defaults:
OLLAMA_NO_CLOUD=1 - "Ollama can run in local only mode by disabling
Ollama’s cloud features. By turning off Ollama’s cloud features, you
will lose the ability to use Ollama’s cloud models and web search."
https://ollama.com/blog/web-searchhttps://docs.ollama.com/faq#how-do-i-disable-ollama%E2%80%99s-cloud-features
example output:
```
ollama run minimax-m2.7:cloud
Error: ollama cloud is disabled: remote model details are unavailable
```
This setting can be safely disabled as you have to click on a link to
login to ollama cloud and theres no real way to do that in nomad outside
of looking at the nomad_ollama logs.
This one can be disabled in settings in case theres a model out there
that doesn't play nice. but that doesnt seem necessary so far.
OLLAMA_FLASH_ATTENTION=1 - "Flash Attention is a feature of most modern
models that can significantly reduce memory usage as the context size
grows. "
Tested with llama3.2:
```
docker logs nomad_ollama --tail 1000 2>&1 |grep --color -i flash_attn
llama_context: flash_attn = enabled
```
And with second_constantine/deepseek-coder-v2 with is based on
https://huggingface.co/lmstudio-community/DeepSeek-Coder-V2-Lite-Instruct-GGUF
which is a model that specifically calls out that you should disable
flash attention, but during testing it seems ollama can do this for you
automatically:
```
docker logs nomad_ollama --tail 1000 2>&1 |grep --color -i flash_attn
llama_context: flash_attn = disabled
```
Add a warm charcoal dark mode ("Night Ops") using CSS variable swapping
under [data-theme="dark"]. All 23 desert palette variables are overridden
with dark-mode counterparts, and ~313 generic Tailwind classes (bg-white,
text-gray-*, border-gray-*) are replaced with semantic tokens.
Infrastructure:
- CSS variable overrides in app.css for both themes
- ThemeProvider + useTheme hook (localStorage + KV store sync)
- ThemeToggle component (moon/sun icons, "Night Ops"/"Day Ops" labels)
- FOUC prevention script in inertia_layout.edge
- Toggle placed in StyledSidebar and Footer for access on every page
Color replacements across 50 files:
- bg-white → bg-surface-primary
- bg-gray-50/100 → bg-surface-secondary
- text-gray-900/800 → text-text-primary
- text-gray-600/500 → text-text-secondary/text-text-muted
- border-gray-200/300 → border-border-subtle/border-border-default
- text-desert-white → text-white (fixes invisible text on colored bg)
- Button hover/active states use dedicated btn-green-hover/active vars
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>