Commit Graph

13 Commits

Author SHA1 Message Date
jakeaturner 4a795df793
feat: configurable internet test url override in new Advanced Settings page 2026-06-23 04:47:10 +00:00
jakeaturner 6a2d4c2bf6
feat(content): opt-in automatic updates for installed ZIM & map content 2026-06-23 04:47:01 +00:00
jakeaturner cf8db6218d
feat(supply-depot): opt-in automatic updates for installed apps 2026-06-23 04:46:52 +00:00
jakeaturner 02d985db5e
feat(system): add opt-in automatic updates for the core NOMAD app
Adds a self-update path for the NOMAD admin/core image that runs without a
human in the loop, gated by layered safety checks. Recreation remains the
sidecar's job; this only decides *whether* to update now and requests it.

An hourly job (AutoUpdateJob) evaluates a side-effect-free decision pipeline
(AutoUpdateService.evaluate):
 - opt-in: disabled by default
 - in a user-configured local-time window (handles midnight wrap)
 - an eligible release: same major (major bumps stay manual), strictly newer,
   past a configurable cool-off, GA only (no drafts/prereleases), strict semver
 - pre-flight: sidecar present, no in-flight system update / downloads / app
   installs, and sufficient host disk (estimated from the registry manifest)
When all pass, it drives SystemUpdateService.requestUpdate() with a vetted tag.

Failure backoff auto-disables after 3 genuine update-request failures; transient
release-lookup errors are skips (offline-first appliances are routinely without
connectivity). Re-enabling clears the backoff state.

Settings UI exposes the toggle, window, and cool-off, with live status (eligible
target, in/out of window, last result/error). A `node ace auto-update:dry-run`
command exercises the full pipeline — and a deterministic --scenarios suite the
pure decision logic — without ever triggering an update.

New KVStore keys under autoUpdate.* hold config + last-run state.
2026-06-23 04:46:51 +00:00
chriscrosstalk 8eb8809154 feat(KB): Always/Manual ingest policy toggle (RFC #883 §1/§4) (#894)
* feat(KB): per-file ingest state machine (Phase 1 of RFC #883)

Adds a persistent state machine for AI knowledge-base ingestion so the
scanner can distinguish "fully indexed", "user opted out", "failed", and
"stalled" from each other — none of which were derivable from the prior
binary "any chunks in Qdrant ⇒ embedded" check.

## What lands

- New table `kb_ingest_state` keyed by `file_path` with enum state column
  (`pending_decision | indexed | browse_only | failed | stalled`).
  Independent of `installed_resources` so it covers both curated downloads
  and manually-uploaded KB files.
- New KV key `rag.defaultIngestPolicy` (string: `Always | Manual`).
  Registered now but not consumed yet — JIT prompt + wizard step land in
  Phase 3 of the RFC.
- `EmbedFileJob.handle` writes state on terminal outcomes:
  - Success (final batch) → `indexed` + chunks count
  - `UnrecoverableError` → `failed` + error message
  - Retryable errors are left to BullMQ's existing retry path
- `scanAndSyncStorage` swaps the binary qdrant check for a state-aware
  decision tree (see `decideScanAction`). Existing installs auto-backfill
  on first scan: files with chunks in Qdrant but no state row become
  `indexed`; new files start as `pending_decision`.
- `deleteFileBySource` drops the state row last, so removed files
  disappear entirely instead of leaving an orphan that the next scan
  would re-dispatch into nothing.

## What does NOT land here

- Ratio registry (separate PR) — needed for partial-stall detection and
  cost estimates, but a separable concern.
- #880 follow-up initial-progress anchor (separate tiny PR).
- Phase 2 UI (status pill, per-card actions, conditional warnings).
- Phase 3 policy surfaces (wizard step, JIT prompt, guardrail modal).
- PR #886's bulk-action hookup — `_deletePointsBySource` / Re-embed All
  / Reset & Rebuild would also want to set state, but #886 isn't merged
  yet; that wiring goes in a follow-up once #886 lands.

## Target

This is forward work for v1.40.0 (RFC #883). Branching off `rc` because
that's the current latest base and post-GA Jake will sync rc→dev; a
retarget at PR-open time is a fast-forward if requested.

## Tests

- 9 new unit tests for `decideScanAction` covering all five states plus
  the no-row / chunks-present / chunks-missing combinations
- Type-check clean
- Smoke-tested end-to-end on NOMAD3 via hot-patch:
  - Backfill: 5 ZIMs + 2 KB uploads with existing chunks in Qdrant all
    came back `indexed` on first scan
  - Pending dispatch: a video-only ZIM with no chunks (`lrnselfreliance`)
    came back `pending_decision` and was correctly re-dispatched (Bull
    deduped to its historical `:completed` jobId — bgauger's #886 fix
    drains that)
  - Delete hook: deleting a KB upload via `DELETE /api/rag/files`
    removed both the disk file and the state row

* feat(KB): Always/Manual ingest policy toggle (RFC #883 §1/§4)

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.

---------

Co-authored-by: Jake Turner <52841588+jakeaturner@users.noreply.github.com>
2026-05-20 10:16:00 -07:00
Henry Estela 0edfdead90 feat(AI): enable flash_attn by default and disable ollama cloud (#616)
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-search
https://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
```
2026-04-03 14:26:50 -07:00
Henry Estela 69c15b8b1e feat(AI): enable remote AI chat host 2026-04-03 14:26:50 -07:00
Chris Sherwood b1edef27e8 feat(UI): add Night Ops dark mode with theme toggle
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>
2026-03-20 11:46:10 -07:00
Jake Turner 6f0fae0033 feat(AI Assistant): remember last model used 2026-03-11 14:08:09 -07:00
Jake Turner 96beab7e69 feat(AI Assistant): custom name option for AI Assistant 2026-03-04 20:05:14 -08:00
Jake Turner efa57ec010 feat: early access release channel 2026-03-03 20:51:38 -08:00
Jake Turner df6247b425 feat(Easy Setup): visual cue to start at Easy Setup for OOBE 2026-02-11 11:16:52 -08:00
Jake Turner 1923cd4cde feat(AI): chat suggestions and assistant settings 2026-02-01 07:24:21 +00:00