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(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(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
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.
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>
* 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>
Failed download jobs persist in BullMQ forever with no way to clear
them, leaving stale error notifications in Content Explorer and Easy
Setup. Adds a dismiss button (X) on failed download cards that removes
the job from the queue via a new DELETE endpoint.
- Backend: DELETE /api/downloads/jobs/:jobId endpoint
- Frontend: X button on failed download cards with immediate refresh
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add a "Debug Info" link to the footer and settings sidebar that opens a
modal with non-sensitive system information (version, OS, hardware, GPU,
installed services, internet status, update availability). Users can copy
the formatted text and paste it into GitHub issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds a new settings page with Ko-fi donation link, Rogue Support
banner, and community contribution options (GitHub, Discord).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Removes the InstalledTier model and instead checks presence of files on-the-fly. Avoid broken state by handling on the server-side vs. marking as installed by client-side API call
Adds a standalone Wikipedia selection section that appears prominently in both
the Easy Setup Wizard and Content Explorer. Features include:
- Six Wikipedia package options ranging from Quick Reference (313MB) to Complete
Wikipedia with Full Media (99.6GB)
- Card-based radio selection UI with clear size indicators
- Smart replacement: downloads new package before deleting old one
- Status tracking: shows Installed, Selected, or Downloading badges
- "No Wikipedia" option for users who want to skip or remove Wikipedia
Technical changes:
- New wikipedia_selections database table and model
- New /api/zim/wikipedia and /api/zim/wikipedia/select endpoints
- WikipediaSelector component with consistent styling
- Integration with existing download queue system
- Callback updates status to 'installed' on successful download
- Wikipedia removed from tiered category system to avoid duplication
UI improvements:
- Added section dividers and icons (AI Models, Wikipedia, Additional Content)
- Consistent spacing between major sections in Easy Setup Wizard
- Content Explorer gets matching Wikipedia section with submit button
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat(benchmark): Require full benchmark with AI for community sharing
Only allow users to share benchmark results with the community leaderboard
when they have completed a full benchmark that includes AI performance data.
Frontend changes:
- Add AI Assistant installation check via service API query
- Show pre-flight warning when clicking Full Benchmark without AI installed
- Disable AI Only button when AI Assistant not installed
- Show "Partial Benchmark" info alert for non-shareable results
- Only display "Share with Community" for full benchmarks with AI data
- Add note about AI installation requirement with link to Apps page
Backend changes:
- Validate benchmark_type is 'full' before allowing submission
- Require ai_tokens_per_second > 0 for community submission
- Return clear error messages explaining requirements
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix(benchmark): UI improvements and GPU detection fix
- Fix GPU detection to properly identify AMD discrete GPUs
- Fix gauge colors (high scores now green, low scores red)
- Fix gauge centering (SVG size matches container)
- Add info tooltips for Tokens/sec and Time to First Token
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix(benchmark): Extract iGPU from AMD APU CPU name as fallback
When systeminformation doesn't detect graphics controllers (common on
headless Linux), extract the integrated GPU name from AMD APU CPU model
strings like "AMD Ryzen AI 9 HX 370 w/ Radeon 890M".
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat(benchmark): Add Builder Tag system for community leaderboard
- Add builder_tag column to benchmark_results table
- Create BuilderTagSelector component with word dropdowns + randomize
- Add 50 adjectives and 50 nouns for NOMAD-themed tags (e.g., Tactical-Llama-1234)
- Add anonymous sharing option checkbox
- Add builder tag display in Benchmark Details section
- Add Benchmark History section showing all past benchmarks
- Update submission API to accept anonymous flag
- Add /api/benchmark/builder-tag endpoint to update tags
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat(benchmark): Add HMAC signing for leaderboard submissions
Sign benchmark submissions with HMAC-SHA256 to prevent casual API abuse.
Includes X-NOMAD-Timestamp and X-NOMAD-Signature headers.
Note: Since NOMAD is open source, a determined attacker could extract
the secret. This provides protection against casual abuse only.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
- Add installed_tiers table to persist user's tier selection per category
- Change tier selection behavior: clicking a tier now highlights it locally,
user must click "Submit" to confirm (previously clicked = immediate download)
- Remove "Recommended" badge and asterisk (*) from tier displays
- Highlight installed tier instead of recommended tier in CategoryCard
- Add "Click to choose" hint when no tier is installed
- Save installed tier when downloading from Content Explorer or Easy Setup
- Pass installed tier to modal as default selection
Database:
- New migration: create installed_tiers table (category_slug unique, tier_slug)
- New model: InstalledTier
Backend:
- ZimService.listCuratedCategories() now includes installedTierSlug
- New ZimService.saveInstalledTier() method
- New POST /api/zim/save-installed-tier endpoint
Frontend:
- TierSelectionModal: local selection state, "Close" → "Submit" button
- CategoryCard: highlight based on installedTierSlug, add "Click to choose"
- Content Explorer: save tier after download, refresh categories
- Easy Setup: save tiers on wizard completion
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add comprehensive benchmarking capability to measure server performance:
Backend:
- BenchmarkService with CPU, memory, disk, and AI benchmarks using sysbench
- Database migrations for benchmark_results and benchmark_settings tables
- REST API endpoints for running benchmarks and retrieving results
- CLI commands: benchmark:run, benchmark:results, benchmark:submit
- BullMQ job for async benchmark execution with SSE progress updates
- Synchronous mode option (?sync=true) for simpler local dev setup
Frontend:
- Benchmark settings page with circular gauges for scores
- NOMAD Score display with weighted composite calculation
- System Performance section (CPU, Memory, Disk Read/Write)
- AI Performance section (tokens/sec, time to first token)
- Hardware Information display
- Expandable Benchmark Details section
- Progress simulation during sync benchmark execution
Easy Setup Integration:
- Added System Benchmark to Additional Tools section
- Built-in capability pattern for non-Docker features
- Click-to-navigate behavior for built-in tools
Fixes:
- Docker log multiplexing issue (Tty: true) for proper output parsing
- Consolidated disk benchmarks into single container execution
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
