The map_markers backend has accepted a `notes` column since PR #770 and
the popup display path was wired up to render it (commit 6328256), but
the placement UI never got an input. Result: notes are stored,
displayed when present, and impossible to actually enter via the UI.
Add a notes textarea below the name input in the placement popup,
thread the value through `addMarker` and `createMapMarker`, and trim +
null-coalesce on save. Notes display in the marker popup on click is
unchanged and now actually reachable.
- admin/inertia/lib/api.ts: extend createMapMarker request type with
optional notes
- admin/inertia/hooks/useMapMarkers.ts: addMarker accepts and forwards
notes (response already populated notes into local state, so no
display-side change needed)
- admin/inertia/components/maps/MapComponent.tsx: markerNotes state,
textarea after name input, threaded into handleSaveMarker
Edit-mode for existing markers (so users can backfill notes on
already-placed pins) is intentionally out of scope here - selected-marker
popup is still read-only. That's a follow-up PR if there's demand.
Since PR #36b6d8e moved tier-installation tracking from a client-side
persistence model to a server-side derive-from-disk model, the card
display only ever updates once every file in a tier is fully on disk.
A user who picks Standard sees a blank card for the duration of the
download (often hours for large tiers like Wikibooks). Worse, if some
files finish before others, the card briefly shows a lower tier (e.g.
Essential) before promoting to the selected tier on completion, which
reads as "the system didn't accept my pick."
Backend: compute a sibling `downloadingTierSlug` by unioning installed
resource IDs with the IDs from active RunDownloadJob queue entries
(waiting + active + delayed, failed deliberately excluded), then
resolving the highest tier whose every resource is in that union. Set
only when it differs from `installedTierSlug` — no point reporting
"downloading Standard" when Standard is already fully installed.
Frontend: unify the prominent corner badge logic in CategoryCard to a
single `badgeTier` derived from selectedTier > downloadingTier >
installedTier. Spinner + "(downloading)" suffix when in flight,
checkmark for installed/selected. The pill row and lime border follow
the same source.
Verified on NOMAD3: backend correctly resolves the downloading tier
from in-flight BullMQ jobs; CategoryCard shows the spinner badge
immediately on Submit and switches to the checkmark variant when
downloads complete.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two related fixes surfaced by armandoescalante in #915 when clicking a
Content Explorer category card (e.g. Medicine) on v1.32.0-rc.6:
1. TierSelectionModal placed a useMemo for freeBytes *after* the
`if (!category) return null` early return (introduced in PR #901's
guardrail integration). When `category` transitioned from null to
non-null on first open, React saw a different hook count between
renders and crashed the entire component tree with "Rendered more
hooks than during the previous render", blanking the modal. Moved
the freeBytes useMemo above the early return so hook order is
constant.
2. `IconLibrary` was used as the icon prop on the Manage Custom
Libraries button in remote-explorer.tsx but never registered in
the DynamicIcon allowlist at admin/inertia/lib/icons.ts. Added it
to both the import block and the icons map so the warning stops
firing and the icon renders.
Closes#915.
Surfaces NOMAD's previously-silent model-stacking behavior and enforces a
"one chat model in VRAM at a time" invariant (the embedding model is
always exempt). Addresses Chris's NOMAD3 testing observation that
switching the dropdown in the chat header was invisibly slow on low-VRAM
hardware because the prior model was never unloaded — Ollama would
either evict it under memory pressure or load the new one on CPU after
the runner choked.
Three integration points all funnel through one new helper:
- **User changes the model dropdown** in an active chat session →
confirm modal "Switch to {newModel}? Switching to {newModel} will
start a new chat. Your current conversation stays available in the
sidebar." On confirm, fire `keep_alive: 0` against the previous chat
model, clear active session, set the new selection. Cancel snaps the
visible dropdown back to the previous value (no popup state leaks
into `selectedModel`).
- **User clicks a session in the sidebar** → no popup (system-initiated).
Restore the session's stored model into the dropdown and fire
`unloadChatModels(targetModel)` so anything that isn't the target
gets the unload hint.
- **Chat page first mount** → page-load normalization. Anything stacked
from a prior session gets the unload hint with the current selected
model as the target-to-preserve. Guarded by a ref so it only fires
once per page lifetime; gated on `selectedModel` being populated.
Backend surface is a single new helper and a single new route:
`OllamaService.unloadAllChatModelsExcept(targetModel: string | null)`
→ queries `/api/ps`, filters out (a) the embedding model name
(hardcoded `nomic-embed-text:v1.5` to avoid the RagService circular
import) and (b) `targetModel`, fires `POST /api/generate` with empty
prompt + `keep_alive: 0` in parallel against everything else.
Returns the names that were hinted. Best-effort: network or Ollama
errors are logged and swallowed so callers don't fail on housekeeping.
`POST /api/ollama/unload-chat-models` → thin wrapper validating
`{ targetModel?: string | null }`.
Why `keep_alive: 0` is safe against in-flight inference: per Ollama's
scheduler semantics, the hint sets the post-completion eviction timer
to zero — the runner is not terminated. If Session A is mid-response
on gemma when Session B fires the unload, gemma stays resident until
A's request completes, then evicts. The user-visible worst case is the
race where A's longer-running request re-extends the timer back to the
default and the unload is no-op'd; the next transition (or page reload)
gets another chance, and Ollama's own LRU catches up under memory
pressure regardless. Robust in-flight tracking deferred to a follow-up
if we see stale-state in the wild.
Base `rc`: v1.40.0 will inherit everything from rc.6 via the backmerge.
Frontend tests deferred to a follow-up PR; existing inertia tsconfig
errors are pre-existing and unrelated.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Closes the Manual-mode UX dead-end: after toggling 'Auto-index new content
for AI?' to Manual, a freshly-downloaded ZIM (or any pending_decision file)
had no UI path to opt in for embedding short of the global Sync Storage /
Re-embed All bulk actions. Per RFC #883 §5, each Stored Files row now
carries a state pill and an adaptive single-button action.
State pill (left of any existing warning chips):
- 'Indexed' — green; row had chunks in Qdrant or state row is 'indexed'
- 'Not Indexed' — neutral; state is pending_decision or browse_only
- 'Failed' — red
- 'Stalled' — amber
- admin_docs collapsed row has no pill ('Managed by NOMAD' carries it)
Adaptive action button (paired with the existing Delete button per row):
- pending_decision → 'Index' (force=false)
- browse_only → 'Index' (force=true)
- failed / stalled → 'Retry' (force=true)
- indexed + warning chip → 'Re-embed' (force=true; confirm modal first)
- indexed healthy / null → no action button (bulk Re-embed All covers it)
Backend: GET /api/rag/files now returns
{ files: Array<{ source, state, chunksEmbedded }> }
instead of a flat string[]. State + chunk-count come from a single
KbIngestState query unioned into the existing Qdrant-derived source list
(no new round trips). New POST /api/rag/files/embed validates the source is
known, refuses if any inflight job already targets the same filePath
(prevents double-click duplicate-chunk hazard), pre-deletes Qdrant points
when force=true, then dispatches via the existing _dispatchEmbedJobsFor
helper used by reembedAll.
Per-file Re-embed (force=true on an already-indexed file) routes through a
StyledModal confirmation since it deletes existing vectors before queueing
a fresh job — same destructive-action weight as Delete's inline confirm but
heavier since it affects search until the rebuild finishes.
Folds in PR #907's blank-screen fix because my new render needs the same
generic restored: `<StyledTable<KbFileGroup>>` and `record.displayName`
(instead of the unresolved `sourceToDisplayName(record.source)` that ships
in rc.5 and ReferenceErrors on modal open). PR #907 also adds title
tooltips on the three bulk-action buttons; those tooltips are NOT included
here — let PR #907 land first or independently for that part.
Multi-select bulk-opt-in deferred per discussion: most Manual-mode users
ingest 1-2 files at a time, the existing global toggle covers the bulk
case, and checkboxes would expand scope past what rc.6 should hold. Will
file a follow-up issue for an 'Index N pending files' single-click button
once this lands.
Tests-in-PR scope was limited to keeping `kb_file_grouping.spec.ts` green
after the StoredFileInfo[] signature change (added asInfos() wrapper).
Dedicated unit tests for embedSingleFile (unknown source / inflight refused
/ force=true delete-then-dispatch) and the new state-pill rendering will
land in a follow-up PR alongside Playwright coverage of the row actions.
Verification path: NOMAD3 currently runs project-nomad-admin:integration-
rc6-preview (PRs #907 + #908 atop rc.5). After this branch is built into a
new integration tag, I'll re-run targeted Playwright UAT on the KB modal
covering: state pill rendering per state, Index click on pending_decision
opts in cleanly, Retry on failed re-dispatches successfully, Re-embed
confirmation modal copy + delete-then-dispatch on the military-medicine
partial-stall row, and Delete flow untouched.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Easy Setup wizard previously bundled AI model selection + the new
ingest-policy radio into Step 3 alongside Wikipedia/ZIM tiers and curated
content. Three problems with that:
1. Predicate divergence: "is AI selected?" was answered three different
ways across Step 3 radio, Step 4 review card, and handleFinish
persistence. Surfaced in @jakeaturner's review of PR #900. The three
predicates disagree in real cases (e.g. Ollama already installed but
user didn't re-select any models -- handleFinish writes the ingest KV
while the review hides the AI summary).
2. Step 3 was overloaded -- ZIM tiers + curated content + AI models +
ingest policy in one screen.
3. No way to opt out of seeing the AI policy radio when AI isn't part of
the user's setup.
This restructure makes step 4 a dedicated, conditional AI step:
Step 1 (Apps) -- unchanged (services + remote Ollama toggle/URL)
Step 2 (Maps) -- unchanged
Step 3 (Content) -- Wikipedia + curated tiers only
Step 4 (AI) -- NEW, conditional: model picker (or remote notice)
+ auto-index policy radio. Skipped entirely when
AI isn't in the setup.
Step 5 (Review) -- summary, reads back step 4's output via the same
canonical predicate
Decisions per issue #905 discussion:
- Canonical predicate `isAiInSetup` as a useMemo. Single source consumed
by step indicator, nav skip logic, review summary, and handleFinish.
Both prior divergence cases collapse.
- Step indicator renders dynamically: 4 dots when AI is off (positional
display numbers 1..4), 5 dots when AI is on. WizardStep semantic values
(1=Apps, 2=Maps, 3=Content, 4=AI, 5=Review) stay stable so nav handlers
don't have to translate; the dot's `displayNumber` is decoupled from
its `step` so users see sequential 1..N with no gap.
- handleNext / handleBack are symmetric: 3 -> 5 forward, 5 -> 3 back,
when !isAiInSetup. Same predicate gate.
- Toggling AI capability off in Step 1 after AI step selections were
made fires a confirm dialog ("Turning off AI will discard your AI
model picks, indexing policy, and remote Ollama configuration") and
clears selectedAiModels / ingestPolicy / remoteOllamaEnabled on
confirm. Silent clear when nothing was set.
- Remote Ollama toggle stays in Step 1 alongside the capability card.
Don't fragment "am I using remote AI?" across two steps.
The bundled review summary (renderStep5, was renderStep4) now uses
`isAiInSetup` for the auto-index card visibility instead of the
divergent `(selectedAiModels.length > 0 || remoteOllamaEnabled)`.
Inertia tsconfig clean for this file (the only outstanding errors are
the 3 KnowledgeBaseModal ones from issue tracked in PR #907 and the
~64 pre-existing errors elsewhere).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The Stored Knowledge Base Files render crashed on first open in v1.32.0-rc.5
with `ReferenceError: sourceToDisplayName is not defined`. The table column's
render() called `sourceToDisplayName(record.source)` but the function was
extracted to `lib/kb_file_grouping.ts` in PR #892 and never imported in
KnowledgeBaseModal.tsx. The unhandled error unmounts the entire React tree,
so users see a blank screen ~20s after opening the panel.
Root cause: PR #895 (conditional warnings) rewrote the render() and used
`sourceToDisplayName(record.source)` instead of `record.displayName`, which
KbFileGroup already carries from groupAndSortKbFiles(). PR #895's review
follow-up (cbae48a) compounded this by narrowing the StyledTable generic
from `KbFileGroup` to `{source: string}`, hiding the type drift from tsc.
This restores the post-#892 pattern:
- StyledTable generic back to `KbFileGroup`
- Render uses `record.displayName` (works for both per-file rows and the
collapsed admin-docs row; calling sourceToDisplayName on the synthetic
`__admin_docs_group__` would have rendered that literal as the row name).
Also folds in tooltip copy on the three bulk-action buttons (Reset & Rebuild,
Re-embed All, Sync Storage) so the difference in destructiveness is visible
on hover. Uses native `title` attribute via StyledButton's prop pass-through;
no new component dependency.
Inertia tsconfig catches this regression cleanly (TS2304 + TS2339); the
pre-push hook only runs the backend tsconfig which excludes inertia/**, so
the bug shipped. Tracking the typecheck-coverage gap as a follow-up.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Disable TierSelectionModal Submit while the embed-estimate query is in
flight, so a fast click can't slip past the guardrail with an undefined
estimate.
- Move KbGuardrailModal out of the outer <Transition> and render it as a
Fragment sibling — Headless UI's Transition expects Transition.Child
descendants, not raw conditional siblings.
One-time confirmation step gating bulk indexing actions that would
consume a substantial amount of disk for embedding storage. Fires only
when the user has policy=Always (i.e., the system would auto-index)
AND the estimate trips either:
- GUARDRAIL_ABSOLUTE_BYTES = 50 GB embedding cost, OR
- GUARDRAIL_FREE_DISK_RATIO = 10% of current free disk space
Under policy=Manual the guardrail is silent because the user has
already opted out of automatic ingestion — the files would just queue
as pending_decision either way.
Pieces
- inertia/lib/kb_guardrail.ts: pure decision helper with two constants
and an evaluateGuardrail() that returns a verdict + reasons. No I/O
on the helper itself so the logic is trivially testable
- inertia/components/KbGuardrailModal.tsx: confirmation dialog. Headless
UI Transition + Dialog, amber 'large operation' header, plain-English
estimate summary, [Cancel] / [Proceed anyway] footer. z-[60] so it
layers above the tier modal underneath instead of replacing it
- inertia/components/TierSelectionModal.tsx integration: handleSubmit
now evaluates the guardrail when policy=Always and embedEstimate is
available; if it trips, we stash the verdict in state and render the
guardrail modal as an overlay. Confirm runs finalizeSubmit (which is
the pre-existing onSelectTier + onClose path); Cancel just closes the
guardrail and leaves the tier modal as-is so the user can change
their tier choice or flip the policy
The disk-free signal comes from the existing useSystemInfo hook +
getPrimaryDiskInfo helper. Passing freeBytes=0 (unknown) skips the
relative-disk check, so the modal still works on hosts whose disk
introspection failed — just relies on the absolute 50 GB threshold
Tests
- 9 cases in tests/unit/kb_guardrail.spec.ts: standard small batch (no
trip), exact absolute threshold trips, over-absolute trips, over 10%
free trips, both-at-once trips with two reasons, freeBytes=0 skip,
freeBytes=0 + over-absolute trip, exact-10% boundary trips, just-
under-both safe. All green.
Stacks on feat/kb-tier-estimate-on-disk (#897) — consumes that PR's
estimate endpoint to compute the verdict input. Auto-rebases to rc
when #897 merges.
Pairs with #894 (policy toggle) and #899 (JIT prompt): together the
three PRs cover the 'how do I avoid surprising the user with auto-
indexing they didn't ask for?' arc.
Out of scope (deferred)
- 6 hr time threshold (RFC §7): needs a per-host chunks-per-second
metric we don't capture yet; would be a follow-up after Phase 4
self-calibration (RFC §15) lands
- Wider integration (KbPolicyPromptBanner 'Index now' button, manual
KB-modal sync): TierSelectionModal is the dominant bulk-decision
surface and the right place to land this first
Adds an inline auto-index policy choice inside the Easy Setup wizard's
existing AI section (Step 3 'Content', alongside AI model selection).
The selection is persisted to KVStore['rag.defaultIngestPolicy'] on
wizard submit — same key #894's KB modal toggle reads/writes — so a
user who completes the wizard never sees the first-chat JIT prompt
(#899); their decision is already recorded.
Default is 'Always' so new users who keep the default get the 'just
works' experience: content downloaded by the wizard becomes searchable
as soon as it finishes embedding, without a follow-up step. Users who
prefer the explicit-opt-in flow can flip to 'Manual' before submitting.
Skipped when the user doesn't select the AI capability — the KV stays
null and the JIT prompt handles the decision later if/when they enable
AI from settings.
UI placement
- Step 3 'Content': new section below AI Models grid (only when AI is
selected), two-button radio matching #894's KB-modal toggle pattern
for visual consistency
- Step 4 'Review': new 'Auto-index Setting' card summarizing the choice
in plain English ('New content will be indexed automatically' vs
'New content will wait for you to opt in') so the user knows what
they're agreeing to before clicking Complete Setup
handleFinish
- New api.updateSetting('rag.defaultIngestPolicy', ingestPolicy) call
runs first, before service installs/downloads, so any content that
finishes embedding during this same wizard run sees the right policy
- Wrapped in its own try/catch so a transient KV write failure doesn't
abort the rest of the wizard
Stacks on feat/kb-policy-toggle (#894) — uses the policy KV mechanism
that PR introduces. Auto-rebases to rc when #894 merges.
Pairs with #899 (JIT prompt): wizard users decide here; non-wizard
users decide at first chat. Together they cover every entry path
to v1.32.0 without double-prompting.
- KbPolicyPromptBanner: add onError toast to maybeLaterMutation so a
failed policy save surfaces to the user instead of looking like a
broken button (banner would otherwise reappear on next chat open
with no explanation).
- KbPolicyPromptBanner: set staleTime: Infinity on the prompt-state
query. For users who already picked a policy (the vast majority),
the result is effectively immutable per session — the mutations
invalidate the key when it actually changes.
When a user opens AI Chat with content available but no global ingest
policy yet recorded, surface a one-time banner above the chat header
asking how they want new content handled:
- 'Index existing content' -> sets rag.defaultIngestPolicy=Always and
triggers a sync so pending_decision files queue immediately
- 'Maybe later' -> sets policy=Manual; existing and future content
waits in pending_decision until the user opts in from the KB modal
After either button is clicked the banner never reappears, because both
write the policy KV (the same one #894 manages via the KB modal toggle).
There is intentionally no 'dismiss without deciding' X — that would just
re-show the banner forever.
Backend
- New GET /api/rag/policy-prompt-state returns
{shouldPrompt, hasContent, totalFiles}
- RagService.getPolicyPromptState() reads KVStore('rag.defaultIngestPolicy')
and counts kb_ingest_state rows; shouldPrompt is true only when policy
is null AND scanner has seen >=1 file (avoids prompting on empty NOMADs)
Frontend
- New KbPolicyPromptBanner component (~120 LOC) handles the two-button
decision flow with optimistic loading state, success/error toasts, and
invalidates kbPolicyPromptState + ingestPolicy + embed-jobs + storedFiles
on success
- Mounted in components/chat/index.tsx as the first child of the main
content column so it sits above the chat title bar without taking space
when shouldPrompt is false (renders nothing)
- Reads aiAssistantName from Inertia page props so banner copy matches
the user's chosen assistant name
Stacks on feat/kb-policy-toggle (#894) because the policy KV mechanism
it writes through is introduced there. Both can land in rc.5; this PR
auto-rebases to rc once #894 merges.
Existing users on first upgrade to v1.32.0 will see this banner on first
chat visit post-upgrade — an explicit opt-in moment for content that was
already on disk. New users see it the first time they have curated
content downloaded.
useEmbedJobs already polls every 2s while jobs are active (and 30s when
idle) and auto-invalidates Stored Files when the queue drains. The
manual Refresh button was a no-op signal — it just confuses users who
click it and see no change. Per-job 'last activity Xs ago' lines remain
as the live-recency indicator.
Stacks on feat/kb-job-status-pill (#893) since the Refresh button only
exists in that branch.
`computeFileWarnings()` previously caught all errors and returned an empty
map, which the frontend rendered as "every file is healthy" — reintroducing
exactly the silent-failure mode this surface exists to expose.
Return `{ ok, warnings }`; flip `ok: false` from the catch. KB modal renders
an inline amber notice under the Stored Files header when `ok === false`,
leaving per-row warning rendering untouched. Transient failures self-heal on
the next 30s poll; no toast spam.
Surfaces two silent failure modes that the prior binary
"any-chunks-in-Qdrant ⇒ embedded" check could not distinguish from
healthy ingestion:
- **Warning A — Zero-chunk file** (file_size > 100 MB, chunks = 0)
Fires on video-only / image-only ZIMs (`lrnselfreliance_en_all`,
TED talks, etc.) that the pipeline completes "successfully" with no
extractable text. AI Assistant literally cannot reference these.
- **Warning B — Partial-embed stall** (chunks < 50% of expected from
the ratio registry). Surfaces the simple_wiki "266 of 600,000 chunks"
case observed during NOMAD1 ingestion testing — previously these
looked identical to fully-completed embeds in the UI.
Both warnings render only when their condition is met (silent by
default; noisy only on real problems).
Base is `feat/kb-ratio-registry` (#891) because Warning B's "expected
chunks" estimate comes from `KbRatioRegistry.estimateChunks()`. GitHub
fast-forwards to `rc` once #891 merges.
- `app/utils/kb_warning_decision.ts` — pure `decideWarnings(inputs)`
with thresholds (`100 MB`, `0.5×`) as exported constants. 10 unit
tests cover the healthy case, both warnings, the under/at/over
boundary, the registry-miss suppression, and the video-only registry
case (`expectedChunks: 0` correctly skips Warning B).
- `RagService.computeFileWarnings()` — single Qdrant scroll tallies
chunks per source, filesystem walk fills in zero-chunk files,
ratio registry estimates the expectation, decision function emits.
- New endpoint `GET /api/rag/file-warnings` returns
`Record<source, FileWarning[]>` (sources with no warnings are
omitted, so the frontend can `warnings[source] ?? []` for clean
defaults).
- KB modal: warnings render inline under the file name as amber-tinted
pills. Polled every 30s alongside the existing health check.
- Warning C — chunks skipped due to length. PR #890 (#881 fix) prevents
the silent drop at the embed boundary, so the underlying condition
shouldn't fire anymore. If we still want to surface "we truncated
N chunks to fit", that needs separate `skipped_count` tracking in
EmbedFileJob — a Phase 2 follow-up.
- Suppressing Warning B during active mid-ingestion. The user can cross-
reference the Processing Queue to know it's in-flight; suppressing
warnings while a job runs would mask real stalls where the job died
mid-batch. Will revisit when per-card status is wired through.
- Use of `kb_ingest_state.chunks_embedded` (#888) as the chunk count
source. This PR uses Qdrant scroll directly so it can land
independently of #888.
- 10 new unit tests on `decideWarnings`, all pass
- Type-check clean
- Hot-patch + browser smoke test deferred until #891 lands (the ratio
registry needs to exist in the DB for `estimateChunks()` to return
non-null estimates — without it, only Warning A fires which is still
useful but Warning B stays dormant)
When a user picks a tier in TierSelectionModal, show how much additional
disk space the AI Assistant will need if the new ZIMs are indexed, plus
a policy-aware footer explaining whether they'll auto-index (Always) or
wait for opt-in (Manual). Estimates consume #891's KbRatioRegistry via a
new POST /api/rag/estimate-batch endpoint.
Backend
- New POST /api/rag/estimate-batch route + RagController.estimateBatch
- VineJS schema accepting array of {filename, sizeBytes}, capped at 500
- KbRatioRegistry.estimateBatch aggregates via the existing prefix-match
lookup, returns {totalChunks, totalBytes, hasUnknown}
- New BYTES_PER_CHUNK_ON_DISK constant (~8 KB: 3 KB vector + ~3 KB chunk
text + ~2 KB payload/index overhead). Tunable; will be replaced by
Phase 4 self-calibration once we have real measurements.
- Controller normalizes incoming filenames via path.basename so callers
that send full paths or URLs still match registry prefixes correctly.
Frontend
- api.estimateEmbeddingBatch() client method
- TierSelectionModal: when localSelectedSlug is set, resolve the tier's
resources (incl. inherited tiers), POST to /estimate-batch, and render
a new info block with the +~X GB figure + ingest-policy copy. Also
fetches rag.defaultIngestPolicy so the same block surfaces whether
indexing will fire automatically or wait for the user.
- resourceFilename() helper extracts the basename from the resource URL
so the registry lookup hits the right prefix regardless of mirror.
Tests
- 4 new cases in tests/unit/kb_ratio_lookup.spec.ts covering the
estimateBatch aggregator: standard sum, unknown-flagging, video-only
ZIM (0 chunks but known, hasUnknown stays false), empty input.
Stacks on feat/kb-ratio-registry (#891) — consumes the registry table
seeded by that PR. Once #891 merges to rc, this PR auto-rebases.
Out of scope for this PR (deferred to follow-ups):
- Per-batch opt-in checkbox (RFC §1's '☑ Also index these for AI') needs
a per-batch policy override path and is a separate PR
- Guardrail modal at 50 GB / 10% free / 6 hr thresholds (RFC §7) is also
separate; this PR is informational, not gating
- Time-to-embed estimate awaits a chunks-per-second metric per host
* 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>
Each in-flight (or stuck) embedding job gets a colored health pill,
relative-activity timestamp, and chunk counter so users can tell at a
glance whether ingestion is making progress.
## Health states
- **🟢 Active** — last batch < 2 min ago
- **🟡 Slow** — last batch 2-5 min ago (CPU-paced multi-batch ingestion
lives here naturally; not always a problem)
- **🔴 Stalled** — last batch > 5 min ago (likely real problem)
- **⚪ Waiting** — queued, no batch started yet
- **🔴 Failed** — job recorded failed status
## What lands
- New backend util `kb_job_health.ts` with pure `computeJobHealth(input)`
decision function. Time-based thresholds (2 min / 5 min) inlined as
constants. 9 unit tests pin the boundaries.
- `EmbedJobWithProgress` gains `lastBatchAt`, `startedAt`, `chunks` —
already set by `EmbedFileJob.handle` on every batch transition, just
not previously surfaced through `listActiveJobs`.
- Frontend `kb_job_health_display.ts` maps each status to a Tailwind
dot color, label, and aria-label so backend and UI stay in sync.
- `ActiveEmbedJobs.tsx` renders the pill, "last activity Xs ago", and
chunk counter above each progress bar. Adds a manual Refresh button
and "Last updated Xs ago" line — the existing 2s/30s auto-poll
cadence in `useEmbedJobs` is left intact.
- Live tick at 5s keeps the relative timestamps current without
re-fetching from the API.
## Not in scope
- Per-card Cancel / Retry / Un-index — separate Phase 2 PR
- Conditional warnings A/B/C — separate Phase 2 PR
- Computing throughput rate (chunks/min) — needs ratio registry consumer
(Phase 2 follow-up); for now the pill answers the "is it stuck?"
question directly without a rate estimate.
Project NOMAD's bundled docs (`/app/docs/*.md` and `README.md`) each
embed as their own KB source — currently rendering as 12+ individual
rows that swamp user-uploaded content in the Stored Files table.
Collapse them into one informational row:
> Project NOMAD documentation · 12 files · Managed by NOMAD
The admin-docs row hides the Delete button (those files would be
re-embedded on the next sync anyway, so deleting is a footgun). User
uploads and ZIMs keep their existing per-row Delete UX.
Also adds deterministic sort: ZIMs → user uploads → admin docs → other,
alphabetical within each bucket. Pure frontend change — `/api/rag/files`
response shape unchanged.
Decision logic extracted to `kb_file_grouping.ts` with 9 unit tests
covering bucket classification, sort order, count noun pluralization,
and empty-input handling.
Closes#796.
The maps API has accepted and persisted `notes` on map markers since
PR #770, but the marker popup component still rendered name only and
ignored the field. Now the popup shows a notes block beneath the name
when it's populated, with whitespace preserved and long text wrapped.
Threaded `notes` through the read path:
- `api.listMapMarkers` / `api.createMapMarker` response types
- `MapMarker` interface in `useMapMarkers` and the data.map projection
- `MapComponent`'s selectedMarker popup
The create/update UI is unchanged — users still set notes via the API
or DB directly, matching the issue's stated scope. A marker entry with
empty/whitespace-only notes renders the same as before.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Closes#826.
1. Heading and subtext now read from `versionInfo` state (which the
Check Again mutation already populates) instead of the server-rendered
`props.system`. Previously the card kept showing "System Up to Date /
Your system is running the latest version!" alongside the new
`Latest Version` row + Start Update button after a successful recheck.
Status icon also switched to `versionInfo` for consistency.
2. The pulling-state heading rendered the lowercase status enum
(`pulling`, `pulled`, ...) and relied on a Tailwind `capitalize` class
for the visible glyph. Screen readers and other accessible-name
consumers got the lowercase value with no transform applied. Replaced
with a `STAGE_LABELS` map so visual + accessible names match.
3. The sidecar (install/sidecar-updater/update-watcher.sh) writes
`complete` for ~5s, then resets the status file to `idle`. The SPA
could miss that window across the admin container restart, leaving
the page parked on its last observed progress percentage indefinitely
while the upgrade was actually finished on disk. A `seenAdvancedStageRef`
now records whether the session ever observed an advanced stage; a
later poll seeing `idle` is treated as the missed completion, and the
page reloads as advertised in step 3 of the on-screen process. Reset
on each Start Update.
4. Toggling Enable Early Access now triggers a recheck on success, so
the eligible-version list updates immediately instead of requiring a
manual Check Again click.
Single file touched: admin/inertia/pages/settings/update.tsx.
Typecheck (tsc --noEmit) passes; static UI changes verified in source.
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(content): add custom ZIM library sources with pre-seeded mirrors
Users reported slow download speeds from the default Kiwix CDN. This adds
the ability to browse and download ZIM files from alternative Kiwix mirrors
or self-hosted repositories, all through the GUI.
- Add "Custom Libraries" button next to "Browse the Kiwix Library"
- Source dropdown to switch between Default (Kiwix) and custom libraries
- Browsable directory structure with breadcrumb navigation
- 5 pre-seeded official Kiwix mirrors (US, DE, DK, UK, Global CDN)
- Built-in mirrors protected from deletion
- Downloads use existing pipeline (progress, cancel, Kiwix restart)
- Source selection persists across page loads via localStorage
- Scrollable directory browser (600px max) with sticky header
- SSRF protection on all custom library URLs
Closes#576
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(content): recognize Wikipedia downloads from mirror sources
When Wikipedia is downloaded via a custom mirror instead of the default
Kiwix server, the completion callback now matches by filename instead
of exact URL. This ensures the Wikipedia selector correctly shows
"Installed" status and triggers old-version cleanup regardless of
which mirror was used.
Also handles the case where no Wikipedia selection exists yet (file
downloaded before visiting the selector), creating the record
automatically.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(ZIM): use cheerio for custom mirror directory parsing
* fix(ZIM): use URL constructor for more robust joining
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Jake Turner <jturner@cosmistack.com>
* feat: Updated the map to show the coordinates as the user moves the cursor over the map. Changed the cursor to a crosshairs to make it easier to place map markers.
* Moved the scale unit control to its own component file for easier maintenance. Enhanced the behavior of the coordinate display on the map to not display when over the on screen controls, and the navigation bar. Added a toggle to turn off the coordinate display if the user doesn't wish to see it. Intentionally left the coordinate display when over a map marker so that the coordinates of the map marker can be estimated. In the future I intend to add the coordinates of a map marker when the map marker is clicked so that behavior may change in the future.
---------
Co-authored-by: Kenneth Brewer <kennethbrewer3@protonmail.com>
Three UX issues from manual testing of #780 on NOMAD3.
1. Slider was unusable for multi-step zoom changes
`setLoading(true)` fired immediately on every selection or maxzoom change,
which disabled the slider until the request returned. Even with the 400ms
debounce delaying the network call, the UI was locked the whole time.
User couldn't drag through zoom levels to find the right one.
Fix: bump debounce to 1500ms, move `setLoading(true)` inside the setTimeout
so it only flips after the debounce expires. Slider stays interactive
throughout the wait. Slider `disabled` now only ties to `downloading`
(active extract dispatch), not `loading` (preflight in flight). The
existing requestId stale-safe pattern handles concurrent changes.
2. Newly-downloaded maps didn't show in Stored Map Files until manual refresh
`props.maps.regionFiles` is rendered server-side and passed through Inertia
props; without a partial reload it stayed stale until the user navigated
away and back.
Fix: watch `useDownloads({ filetype: 'map' })` count via a ref. When the
count drops (a download finished), trigger `router.reload({ only: ['maps'] })`
to refresh just the maps prop. Existing pattern from elsewhere in the
codebase.
3. Country picker didn't surface already-downloaded countries
When a user re-opened "Choose Countries" after downloading UK, UK appeared
unchecked with no indication it was already on disk.
Fix: pass installed pmtiles filenames into the modal as a prop; parse with
regex `^([a-z]{2})_[\w-]+_z\d+\.pmtiles$` to extract country codes from
single-country extracts (matching MapService.buildRegionSlug's iso2 lowercase
slug pattern). Render an "Installed" badge on those countries with a tooltip
explaining they're re-selectable for redownload at a different zoom.
Group / custom multi-country extracts don't reverse-map cleanly from
filename and are skipped here. Could be a follow-up if useful.
Files:
admin/inertia/components/CountryPickerModal.tsx
- SINGLE_COUNTRY_FILENAME_RE: iso2 + flexible date + zoom
- installedFilenames prop with default []
- installedCountrySet derivation via useMemo
- "Installed" badge rendering on country list rows
- Debounce: 400ms -> 1500ms; setLoading inside setTimeout
- Slider disabled: only on `downloading`
admin/inertia/pages/settings/maps.tsx
- import useEffect/useRef
- destructure activeMapDownloads from useDownloads
- useEffect on download count drop -> router.reload({ only: ['maps'] })
- pass installedFilenames to CountryPickerModal
All three fixes tested end-to-end on NOMAD3.
* 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
Content Updates had three UX problems that compounded:
1. No size column, so users had to guess how big an update would be before
clicking Update All. Upstream /api/v1/resources/check-updates doesn't
return size, so CollectionUpdateService now enriches each update with
a Content-Length HEAD request in parallel (5s timeout, non-fatal on
failure — the row just renders an em-dash).
2. Small ZIM updates (1-8 MB) never appeared in Active Downloads. Two
causes, both fixed: handleApply / handleApplyAll didn't invalidate the
download-jobs query after dispatching, and useDownloads idled at 30s
between polls — enough for a fast job to dispatch, download, and get
cleaned up by removeOnComplete before the next refetch.
3. applyUpdate didn't forward title / totalBytes to RunDownloadJob, so
any update that did briefly surface in Active Downloads had no label
and no byte-count progress, just a filename and a percentage. It now
passes both (matching zim_service's dispatch pattern).
Also parallelized applyAllUpdates so dispatching five updates doesn't
serialize five sequential BullMQ round-trips.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(AI): re-enable AMD GPU acceleration for Ollama via ROCm + HSA override
Re-enables AMD GPU support that was disabled in 77f1868 pending validation
of the ROCm image and device discovery. Validation done 2026-04-28 on a
Minisforum UM890 Pro (Ryzen 9 PRO 8945HS + Radeon 780M iGPU) — Ollama
correctly offloaded all model layers to the iGPU when the container was
started with /dev/kfd + /dev/dri passthrough and HSA_OVERRIDE_GFX_VERSION=11.0.0.
On llama3.2:1b, GPU inference ran at 51.83 tok/s vs 33.16 tok/s on CPU
(same hardware, same prompt) — a 1.56x speedup confirmed by Ollama logs
showing "load_tensors: offloaded 17/17 layers to GPU".
Changes
-------
docker_service.ts
- Restore _discoverAMDDevices() (simplified — pass /dev/dri as a directory
entry, mirroring `docker run --device /dev/dri` behavior, instead of the
prior brittle hardcoded card0/renderD128 fallback that broke on systems
where the AMD GPU enumerates as card1+).
- Restore the AMD branch in _createContainer():
- Switches Ollama image to ollama/ollama:rocm
- Mounts /dev/kfd + /dev/dri via Devices
- Sets HSA_OVERRIDE_GFX_VERSION=11.0.0 (required for unsupported-but-RDNA3
iGPUs like gfx1103; harmless on supported discrete cards)
- KV opt-out via ai.amdGpuAcceleration (default on)
- Mirror the AMD branch in updateContainer():
- Lifted GPU detection above docker.pull() so AMD updates pull :rocm
rather than the standard :targetVersion tag (per-version ROCm tags
aren't always published)
- Replaces stale HSA_OVERRIDE in the inspect-captured env on update,
so containers built before this PR pick up the current value
system_service.ts
- New getOllamaInferenceComputeFromLogs() — parses Ollama startup log line
"msg=\"inference compute\" ... library=CUDA|ROCm ..." which Ollama emits
for both NVIDIA and AMD. Catches silent CPU fallback (e.g. NVML death
after update, or HSA_OVERRIDE failure) that the prior nvidia-smi exec
probe couldn't detect.
- gpuHealth refactored to use log parsing as the primary probe for both
vendors, with nvidia-smi exec retained as the NVIDIA-only secondary
path for hardware enrichment when log parsing has no startup line yet.
- AMD path uses gpu.type KV value (persisted by DockerService._detectGPUType)
+ ai.amdGpuAcceleration opt-out to determine hasRocmRuntime.
types/system.ts
- GpuHealthStatus extended additively: hasRocmRuntime + optional gpuVendor.
types/kv_store.ts
- New ai.amdGpuAcceleration boolean (default-on).
settings/models.tsx, settings/system.tsx
- passthrough_failed banner copy now reads vendor from gpuHealth.gpuVendor
("an AMD GPU" vs "an NVIDIA GPU"). Same Fix button hits the same
force-reinstall endpoint, which now configures AMD correctly.
install_nomad.sh
- AMD detection in verify_gpu_setup() upgraded from a strict-positive
"ROCm not currently available" message to "ROCm acceleration will be
configured automatically." Also tightens the lspci match to display
controller classes (avoids false positives from AMD CPU host bridges,
matching the same fix already in DockerService._detectGPUType).
Auto-remediation
----------------
Issue #755 proposes auto-remediation when gpuHealth.status flips to
passthrough_failed (today the user has to click "Fix: Reinstall AI
Assistant"). When that PR lands, AMD coverage falls out for free since
this PR uses the same passthrough_failed status code via the shared
gpuHealth machinery — #755's guard will need to flip from
hasNvidiaRuntime === true to (hasNvidiaRuntime || hasRocmRuntime).
Closes#124 (AMD GPU support).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(AI): detect AMD GPU presence inside admin container via marker file
The admin container doesn't have lspci installed, and AMD GPUs don't register
a Docker runtime the way NVIDIA does — so DockerService._detectGPUType() and
SystemService.gpuHealth had no way to know an AMD GPU was present.
The previous implementation fell through to lspci, which silently failed inside
the admin container, leaving gpu.type unset and gpuHealth stuck at 'no_gpu'
even on systems with an AMD GPU. (NVIDIA worked because Docker registers the
nvidia runtime, which is reachable via dockerInfo.Runtimes from any container.)
Discovered while testing the AMD acceleration patch on a Minisforum UM890 Pro:
the AMD branch in _createContainer() never fired because _detectGPUType()
returned 'none' even on a host with a working /dev/kfd.
Fix
---
install_nomad.sh writes the host-detected GPU type ('nvidia' | 'amd') to a
marker file in the storage volume the admin container already bind-mounts:
/opt/project-nomad/storage/.nomad-gpu-type → /app/storage/.nomad-gpu-type
DockerService._detectGPUType() reads the marker as a secondary probe (after
the Docker runtime check) — covers AMD detection from inside the container
without requiring lspci or a /dev bind mount.
SystemService falls back to the marker file when KV gpu.type is empty so the
System page reflects AMD presence even before the user installs AI Assistant
for the first time. (Without this, the page would say 'no_gpu' until Ollama
was installed, even on hosts with an AMD GPU detected at install time.)
Verified on NOMAD6 (UM890 Pro, Ubuntu 24.04, 780M iGPU): with the marker file
in place and admin restarted, the patch's AMD branch fires correctly on Force
Reinstall AI Assistant. Resulting nomad_ollama runs ollama/ollama:rocm with
/dev/kfd + /dev/dri passthrough and HSA_OVERRIDE_GFX_VERSION=11.0.0; Ollama
logs show 'library=ROCm compute=gfx1100 ... type=iGPU'. NOMAD's in-product
benchmark on the same hardware climbed from 33.8 tok/s (CPU) to 57.3 tok/s
(GPU) — a 1.69x speedup, with TTFT dropping from 148ms to 66ms.
Migration for existing AMD installs
-----------------------------------
Users on an existing NOMAD install with an AMD GPU have no marker file (the
install script wrote it on a fresh install). Two paths get them on the GPU:
1. Re-run install_nomad.sh — writes the marker, no other side effects
2. Manually: echo amd | sudo tee /opt/project-nomad/storage/.nomad-gpu-type
Either then triggers AMD detection on the next AI Assistant install/reinstall.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(AI): pull ollama/ollama:rocm separately when AMD branch overrides image
The pull-if-missing logic in _createContainer ran against service.container_image
(the DB-pinned tag, e.g. ollama/ollama:0.18.2). The AMD branch then overrode
finalImage to ollama/ollama:rocm — but if that image wasn't already local, the
container creation step failed with "no such image: ollama/ollama:rocm".
Caught while validating on NOMAD2 (Ryzen AI 9 HX 370 + Radeon 890M / RDNA 3.5):
the prior end-to-end test on NOMAD6 had silently passed because the rocm image
was already pulled there from an earlier sidecar test, masking the bug.
Fix: inside the AMD branch, after setting finalImage to ollama/ollama:rocm,
run a parallel _checkImageExists + docker.pull dance for the new tag.
Also confirmed via this validation: the same HSA_OVERRIDE_GFX_VERSION=11.0.0
override works on the 890M (gfx1150 / RDNA 3.5) — Ollama logs report
'library=ROCm compute=gfx1100 description="AMD Radeon 890M Graphics"' and
inference runs at 51.68 tok/s (matching the existing X1 Pro published tile
of 51.7 tok/s on the same hardware class). RDNA 3 (780M, gfx1103) and RDNA
3.5 (890M, gfx1150) both use the same override successfully.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* build(Dockerfile): include pciutils for lspci gpu detection fallback
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: Jake Turner <jturner@cosmistack.com>
Adds a check to RAG health to make sure nomad_qdrant is online, if not
then the user will be blocked from clicking any buttons in the KB modal
until they click the start qdrant button and let the container start
There is a new file qdrant_restart_policy_provider.ts, which tries to
ensure that the restart policy always exists for the nomad_qdrant
container even though the policy should have been there when the
container is created.
Closes#685
Content Manager now surfaces the on-disk size of each ZIM file alongside
title/summary, and lets users sort the list by Size or Title. Defaults to
Size descending so the largest files are visible first.
- ZimService.list() now stats each file and returns size_bytes
- Content Manager table adds a formatted Size column (via formatBytes)
- Sortable headers for Title and Size with asc/desc toggle
When many ZIMs are already installed locally, a single Kiwix catalog page
(12 items) could return 12 already-installed items, which zim_service
would fully filter out client-side. The endpoint returned items: [] with
has_more: true, and the frontend's infinite-scroll guard
(flatData.length > 0) blocked fetchNextPage — leaving the user with
"No records found" despite plenty of uninstalled ZIMs available.
Backend now accumulates across up to 5 Kiwix fetches (60 items each)
until it has enough post-filter results to return, dedupes by entry id,
advances currentStart by actual entries returned (not requested), and
returns a next_start cursor. The frontend consumes that cursor instead
of computing Kiwix offsets locally, and the flatData.length > 0 guard is
removed so the existing on-mount effect drives bounded auto-fetch when
a short page lands.
The pre-existing has_more off-by-one (compared totalResults against the
input start rather than the post-fetch position) is fixed implicitly.
Diagnosis credit: @johno10661.
Closes#731
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a cancel button to in-progress Ollama model downloads and unifies
the Active Model Downloads card layout with the Active Downloads card
used for ZIMs, maps, and pmtiles (byte counts, progress bar, live speed,
status indicator).
Closes#676.
When the OpenAI-compatible fallback (/v1/models) is used, models are mapped as { name: m.id, size: 0 } with no details field. Accessing model.details.parameter_size throws `TypeError: Cannot read properties of undefined`, which crashes the React render and causes the entire page to go blank.
Defaults to metric for global audience. Persists choice in localStorage.
Segmented button styled to match MapLibre controls.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add distance scale bar and user-placed location pins to the offline maps viewer.
- Scale bar (bottom-left) shows distance reference that updates with zoom level
- Click anywhere on map to place a named pin with color selection (6 colors)
- Collapsible "Saved Locations" panel lists all pins with fly-to navigation
- Full dark mode support for popups and panel via CSS overrides
- New `map_markers` table with future-proofed columns for routing (marker_type,
route_id, route_order, notes) to avoid a migration when routes are added later
- CRUD endpoints: GET/POST /api/maps/markers, PATCH/DELETE /api/maps/markers/:id
- VineJS validation on create/update
- MapMarker Lucid model
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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
```
Surfaces all installed AI models in a dedicated table between Settings
and Active Model Downloads, so users can quickly see what's installed
and delete models without hunting through the expandable model catalog.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(downloads): rich progress, friendly names, cancel, and live status
Redesign the Active Downloads UI with four improvements:
- Rich progress: BullMQ jobs now report downloadedBytes/totalBytes instead
of just a percentage, showing "2.3 GB / 5.1 GB" instead of "78% / 100%"
- Friendly names: dispatch title metadata from curated categories, Content
Explorer library, Wikipedia selector, and map collections
- Cancel button: Redis-based cross-process abort signal lets users cancel
active downloads with file cleanup. Confirmation step prevents accidents.
- Live status indicator: green pulsing dot with transfer speed for active
downloads, orange stall warning after 60s of no data, gray dot for queued
Backward compatible with in-flight jobs that have integer-only progress.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(downloads): fix cancel, dismiss, speed, and retry bugs
- Speed indicator: only set prevBytesRef on first observation to prevent
intermediate re-renders from inflating the calculated speed
- Cancel: throw UnrecoverableError on abort to prevent BullMQ retries
- Dismiss: remove stale BullMQ lock before job.remove() so cancelled
jobs can actually be dismissed
- Retry: add getActiveByUrl() helper that checks job state before
blocking re-download, auto-cleans terminal jobs
- Wikipedia: reset selection status to failed on cancel so the
"downloading" state doesn't persist
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(downloads): improve cancellation logic and surface true BullMQ job states
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Jake Turner <jturner@cosmistack.com>
The App Installation Activity list on the Easy Setup complete page grew
unboundedly, pushing Active Downloads off-screen. Caps the list at ~8
visible items with overflow scrolling, auto-scrolling to keep the latest
activity visible.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
