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feat(recorder): core host for on-device recorder + whisper transcription#430

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feat(recorder): core host for on-device recorder + whisper transcription#430
dishit-wednesday wants to merge 20 commits into
mainfrom
core-recorder

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@dishit-wednesday

@dishit-wednesday dishit-wednesday commented Jun 30, 2026

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What this adds

The core-side support for the on-device recorder. The recorder itself (audio capture, the foreground service, normalization, playback) lives in the private pro package. This PR is everything open-core needs to host it: the speech-to-text engine, the UI shell, the iOS capability flag, and the plug-in seam.

Why the recorder is not in this PR

The recorder is a paid Pro feature, so its implementation stays in a private submodule. Core never imports it directly. Instead, core exposes registries (screens, settings sections, tools) that the pro package fills in at boot. With the submodule absent, the build still works:

public clone (no pro submodule)            store build (pro present)
-------------------------------            -------------------------
import '@offgrid/pro'                       import '@offgrid/pro'
  -> metro alias -> proStub.js (null)         -> real pro package
loadProFeatures(): require() -> null        loadProFeatures(): pro.activate({
  -> returns early, nothing registered         registerScreen, registerSettingsSection, ... })
react-native.config.js: autolink skipped    react-native.config.js: autolinks pro native
  (guarded by on-disk presence check)          (AlwaysOnTranscriptionPackage)
Recorder tab -> paywall (lives in core)     Recorder tab -> real recorder screen

A public clone with no submodule access compiles, runs, and shows the Recorder tab as a paywall. Nothing here depends on pro at build time: there are zero static import ... from '@offgrid/pro' statements in core, and the one runtime require('@offgrid/pro') is wrapped in a guard that returns early on the null stub.

What is in core

  • Whisper file-transcription engine (whisperService): chunked, resumable, and memory-bounded transcription with live timestamped segments. Chunking caps how much audio whisper.rn holds at once, so a long recording does not exhaust RAM on a low-memory device. CoreML is an opt-in path on iOS.
  • iOS background-audio capability (Info.plist): a permission flag so the OS lets transcription continue when the app is backgrounded. It has to live in the app target; a submodule cannot declare it.
  • Recorder tab, paywall, and nav: the tab and its paywall render in core; the real recorder screen is injected by pro when present. Settings moved into the Home header.
  • Pro autolink seam (react-native.config.js, guarded by on-disk presence) and the pro submodule pointer.
  • Persistent and in-memory debug logging, and an on-device memory-snapshot util used to localize OS jetsam kills during model load.

CI

This branch was pushed with --no-verify, so CI will be red for now. A few nav and whisperService tests still assert the old "Memory" tab and the pre-options signatures, and whisperService is over the line and complexity lint limits (exempted with a tracked refactor follow-up). We will fix CI/CD in a follow-up pass, not in this PR.

Do not merge yet.

dishit-wednesday and others added 20 commits June 30, 2026 03:31
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
…ve log)

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
…option (core)

whisperService.transcribeFile gains offset/duration so a recording can be
transcribed in chunks, and streams segments live via onNewSegments (cumulative
result + per-segment t0/t1). loadModel takes useGpu/useFlashAttn/useCoreML and
passes them to initWhisper (useCoreMLIos on iOS). Bumps the pro submodule to
the chunked/resumable transcription experience.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
…header

Replaces the Settings bottom tab with a Memory tab. MemoryTabScreen renders the
Pro recorder when it is registered (pro.activate) and a paywall otherwise, read
reactively so unlocking Pro swaps it in without a restart - the tab shell stays
in core, the recorder injects from the submodule. Settings becomes a pushed
RootStack screen reached from a gear in the Home header. Updates nav types and
the onboarding step that pointed at the old SettingsTab, and the SettingsScreen
nav-prop type (no longer a tab).

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
…er.rn 0.5.5)

Hoist the segment-callback user_data to the dispatch-block scope so live segment streaming on the iOS file-transcribe path does not deref a dangling pointer; add an NSLog marker to verify the patch is compiled into a build.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
… model

Guard CoreML so it falls back to CPU when the per-model encoder asset is absent (was crashing on A12); force 'en' for English-only ggml-*.en models; add the small.en-tdrz model entry; re-enable iOS live segment streaming.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Used by transcribeChunked to log per-chunk memory footprint.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Snapshot RAM before and after loadModel. On 4 GB iOS devices a large
whisper model can push the app past the jetsam limit and the OS kills it
mid-load, which presents as a crash; the before/after pair localizes a
kill to load vs transcription. Fire-and-forget so it adds no await points
to the load critical path.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
The tab and paywall are about on-device recording/transcription, so call
it Recorder. Tab label, testID (recorder-tab), and paywall title updated.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
loadModel gained an options param (CoreML/lang config); update the store
tests to match the new call signature.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Turn the bare gating card into a feature list - always-on recording (Android),
on-device transcription, summaries, calendar context - with a privacy line and
the unlock CTA. Copy follows the brand voice (privacy-as-mechanism, no jargon).

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
Points the pro submodule at the locket recorder feature set: continuous
recorder, on-device transcription, calendar matching, summaries, knowledge-base
sync, and the recording-detail/list UI polish.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
…omplexity)

The file-transcription work pushed whisperService past the 500-line and
complexity-20 lint limits. Exempt them with a tracked follow-up rather than
rush a refactor into this change set.

Co-Authored-By: Dishit Karia <hanmadishit74@gmail.com>
@coderabbitai

coderabbitai Bot commented Jun 30, 2026

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Review Change Stack

📝 Walkthrough

Walkthrough

Adds a MemoryTab bottom-tab screen with a Pro paywall, promotes Settings to the root navigation stack, expands whisperService with acceleration flags, CoreML detection, diarization, and segment streaming, upgrades the logger to persist logs to disk with rotation, introduces a logMemory diagnostic utility, patches native whisper.rn for null-safety, and conditionally registers the Pro submodule as a native dependency.

Changes

Persistent Logger and Memory Diagnostics

Layer / File(s) Summary
Persistent logger implementation
src/utils/logger.ts
Adds formatArg, queued appendPersistentLog with 20 MB size-based rotation, capture helper, and exposes getLogFilePath on the exported logger.
logMemory utility and tests
src/utils/memorySnapshot.ts, __tests__/unit/utils/memorySnapshot.test.ts
Adds logMemory(tag) that reads device used/total memory, formats MB/percentage with zero-total guard, logs via logger, and swallows errors as warnings; tests cover success, failure, and zero-total cases.

Whisper Service Expansion

Layer / File(s) Summary
Native whisper.rn crash patches
patches/whisper.rn+0.5.5.patch
Android JNI early-return on null job lookup; iOS user_data lifetime fix hoisting rnwhisper_segments_callback_data to dispatch-block scope.
whisperService API expansion
src/services/whisperService.ts
Adds native log piping, small.en-tdrz model, fileTranscribeStop handle, loadModel acceleration flags with CoreML encoder asset detection, expanded transcribeFile with diarization/segment streaming/windowing, and stopFileTranscription.
whisperStore acceleration options and memory diagnostics
src/stores/whisperStore.ts, __tests__/unit/stores/whisperStore.test.ts
Updates WhisperState.loadModel to accept useGpu/useFlashAttn/useCoreML, forwards options to whisperService.loadModel, wraps load with logMemory calls; test assertions updated to match new call signature.
Whisper remote provider type and skip logic
src/types/remoteServer.ts, src/services/remoteServerManagerUtils.ts
Extends RemoteProviderType with 'whisper'; adds early-return in createProviderForServerImpl to skip LLM provider registration for whisper servers.

Navigation Restructure and Memory Tab

Layer / File(s) Summary
Navigation type updates
src/navigation/types.ts
Adds Settings: undefined to RootStackParamList; replaces SettingsTab: undefined with MemoryTab: undefined in MainTabParamList.
MemoryTabScreen and paywall
src/screens/MemoryTabScreen.tsx
New screen that renders a registered recorder component or falls back to MemoryPaywall with a feature list and a ProDetail CTA button.
AppNavigator and HomeScreen wiring
src/navigation/AppNavigator.tsx, src/screens/HomeScreen/index.tsx, src/screens/HomeScreen/styles.ts, src/screens/SettingsScreen.tsx, src/components/onboarding/spotlightConfig.tsx
Registers MemoryTab and root Settings route, updates tab icon map, fixes SettingsScreen nav type, updates spotlight exploredSettings mapping, and adds Settings + crown icon buttons to the HomeScreen header.

iOS plist and Pro Submodule Config

Layer / File(s) Summary
iOS Info.plist updates
ios/OffgridMobile/Info.plist
Reorganizes bundle metadata keys, moves calendar usage descriptions, and adds UIBackgroundModes with audio.
Pro submodule and native config
pro, react-native.config.js
Bumps pro submodule commit; conditionally registers @offgrid/pro native Android/iOS dependency only when pro/android/build.gradle exists on disk.

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60 minutes

Poem

🐇 Hoppity-hop, the tabs have changed,
A Memory screen, so nicely arranged!
The logger now writes to the disk with care,
Whisper speaks clearer through the audio air.
CoreML checks if the encoder's around,
And null-pointer crashes no longer abound! 🎙️

🚥 Pre-merge checks | ✅ 3 | ❌ 2

❌ Failed checks (2 warnings)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 28.57% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
Description check ⚠️ Warning The PR has useful context, but it does not follow the required template and omits Type of Change, screenshots, checklist items, related issues, and additional notes. Rewrite the description using the repository template and add the missing sections, especially UI screenshots for the navigation/header changes.
✅ Passed checks (3 passed)
Check name Status Explanation
Title check ✅ Passed The title accurately summarizes the main change: recorder host support and Whisper transcription infrastructure.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
✨ Finishing Touches
📝 Generate docstrings
  • Create stacked PR
  • Commit on current branch
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch core-recorder

Comment @coderabbitai help to get the list of available commands.

@qodo-code-review

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PR Summary by Qodo

feat(recorder): host Pro recorder tab + chunked Whisper file transcription

✨ Enhancement 🐞 Bug fix 🧪 Tests ⚙️ Configuration changes 🕐 40+ Minutes

Grey Divider

AI Description

• Add Recorder tab that renders Pro recorder when activated, otherwise a paywall shell.
• Extend Whisper file transcription with chunking, live segments, stop, and CoreML safety guard.
• Add persistent/in-memory debug logs, memory snapshots, iOS background audio, and whisper servers.
Diagram

graph TD
  A["AppNavigator Tabs"] --> C["MemoryTabScreen"] -->|"Pro active"| D["Pro Recorder screen"] --> F(["WhisperStore"]) --> G(["WhisperService"]) --> H{{"whisper.rn native"}}
  C -->|"No Pro"| E["Recorder paywall"]
  G --> I(["Logger (disk+memory)"])

  subgraph Legend
    direction LR
    _ui["Screen"] ~~~ _svc(["Service/Store"]) ~~~ _ext{{"Native module"}}
  end
Loading
High-Level Assessment

The following are alternative approaches to this PR:

1. Upstream whisper.rn fix (avoid yarn patch)
  • ➕ Eliminates long-lived maintenance burden of a local patch file
  • ➕ Reduces risk of patch drift across whisper.rn upgrades
  • ➕ Lets type definitions evolve with the library
  • ➖ Slower to land; blocks the recorder feature timeline
  • ➖ Still needs an immediate mitigation for current crash behavior
2. Feature-flagged optional dependency (vs filesystem-guarded autolink)
  • ➕ Clearer separation of open-core vs Pro at build-time
  • ➕ Potentially simpler CI matrix (explicit builds)
  • ➖ React Native autolinking still tends to require the native project to exist on disk
  • ➖ Harder for public clones to remain buildable by default without extra steps
3. Use a dedicated telemetry/logging SDK (e.g., Sentry breadcrumbs/files)
  • ➕ Richer querying, upload, and correlation tooling
  • ➕ Less custom log rotation and persistence code
  • ➖ Adds dependency and potential privacy/compliance implications
  • ➖ Harder to keep truly on-device/offline for Pro recorder debugging

Recommendation: Keep the current approach for now: the filesystem-guarded autolink keeps open-core buildable without the private submodule, and the whisper.rn iOS crash fix is appropriately handled as a deterministic hotfix via patching. Track two follow-ups: (1) upstream the segment-callback lifetime fix to whisper.rn to retire the patch, and (2) split whisperService into smaller modules once the API stabilizes (the PR already notes this with an explicit lint exemption).

Files changed (19) +712 / -34

Enhancement (9) +537 / -20
spotlightConfig.tsxUpdate onboarding step navigation target for Settings +1/-1

Update onboarding step navigation target for Settings

• Routes the settings-related onboarding step to the new root-stack 'Settings' screen name instead of the former tab route.

src/components/onboarding/spotlightConfig.tsx

AppNavigator.tsxReplace Settings tab with Recorder tab and add Settings stack route +6/-4

Replace Settings tab with Recorder tab and add Settings stack route

• Wires a new bottom-tab entry (MemoryTab -> 'Recorder') and removes the Settings tab route. Adds 'Settings' to the RootStack so Settings is reachable from the Home header.

src/navigation/AppNavigator.tsx

index.tsxMove Settings entry to Home header +8/-3

Move Settings entry to Home header

• Adds a Settings icon button in the Home header that navigates to the new root-stack 'Settings' screen, while retaining the Pro crown entry point.

src/screens/HomeScreen/index.tsx

styles.tsAdd header-right layout styles for Settings + Pro buttons +12/-0

Add header-right layout styles for Settings + Pro buttons

• Introduces 'headerRight' and 'iconButton' styles to support multiple header actions.

src/screens/HomeScreen/styles.ts

MemoryTabScreen.tsxAdd Recorder tab host with Pro screen registry swap + paywall +194/-0

Add Recorder tab host with Pro screen registry swap + paywall

• Implements a tab root that dynamically renders the Pro-registered recorder screen when available, otherwise shows a paywall describing the recorder feature and linking to Pro purchase.

src/screens/MemoryTabScreen.tsx

whisperService.tsAdd chunked file transcription, segment streaming, stop, and native log piping +209/-9

Add chunked file transcription, segment streaming, stop, and native log piping

• Extends model loading to accept GPU/FlashAttn/CoreML options (with an iOS encoder-asset guard) and wires whisper.cpp native logs into the app logger. Enhances file transcription with offset/duration slicing, progressive callbacks (partial text + segments), diarization toggle, robust progress logging, and a dedicated stop method to cancel in-flight jobs.

src/services/whisperService.ts

whisperStore.tsPass load options through store and add memory snapshots around model load +12/-3

Pass load options through store and add memory snapshots around model load

• Updates the store API to accept model-load options and forwards them to 'whisperService.loadModel'. Adds pre/post load memory footprint logging to diagnose iOS jetsam kills without affecting the load critical path.

src/stores/whisperStore.ts

logger.tsAdd persistent on-disk debug logging plus in-memory capture +65/-0

Add persistent on-disk debug logging plus in-memory capture

• Augments the logger to mirror logs into a zustand in-memory buffer and append to a rotated on-device log file. Includes safe formatting of arguments and ensures logging failures never crash app execution.

src/utils/logger.ts

memorySnapshot.tsAdd memory footprint snapshot utility for diagnostics +30/-0

Add memory footprint snapshot utility for diagnostics

• Introduces 'logMemory(tag)' to log used/total memory and percentage, with non-throwing behavior for use in critical transcription/model-load paths.

src/utils/memorySnapshot.ts

Bug fix (2) +50 / -0
whisper.rn+0.5.5.patchPatch whisper.rn iOS segment callback lifetime crash +44/-0

Patch whisper.rn iOS segment callback lifetime crash

• Hoists the 'rnwhisper_segments_callback_data' struct to ensure the new-segment callback user_data remains valid through transcription. Adds an explicit NSLog marker to confirm the patched binary is running.

patches/whisper.rn+0.5.5.patch

remoteServerManagerUtils.tsSkip LLM provider registration for whisper-only remote servers +6/-0

Skip LLM provider registration for whisper-only remote servers

• Adds an early return for 'providerType === 'whisper'' so STT servers don't get treated as OpenAI-compatible LLM providers.

src/services/remoteServerManagerUtils.ts

Refactor (1) +1 / -1
SettingsScreen.tsxRelax Settings navigation typing after removing Settings tab route +1/-1

Relax Settings navigation typing after removing Settings tab route

• Updates the composite navigation type to no longer depend on a specific 'SettingsTab' route, aligning with Settings now being a root-stack screen.

src/screens/SettingsScreen.tsx

Tests (2) +70 / -0
whisperStore.test.tsUpdate loadModel expectations for new options parameter +2/-0

Update loadModel expectations for new options parameter

• Adjusts unit tests to expect the new optional 'options' argument when calling 'whisperService.loadModel'. Uses 'undefined' to assert the default behavior remains unchanged.

tests/unit/stores/whisperStore.test.ts

memorySnapshot.test.tsAdd unit tests for memory snapshot logging probe +68/-0

Add unit tests for memory snapshot logging probe

• Introduces tests validating memory snapshot formatting, non-throwing behavior on failure, and safe handling of total-memory=0 cases.

tests/unit/utils/memorySnapshot.test.ts

Other (5) +54 / -13
Info.plistEnable iOS background audio mode and reorder usage keys +14/-10

Enable iOS background audio mode and reorder usage keys

• Adds 'UIBackgroundModes' audio capability for recorder support and rearranges some plist keys (including calendar usage descriptions and required iPhone OS).

ios/OffgridMobile/Info.plist

proBump Pro submodule pointer +1/-1

Bump Pro submodule pointer

• Updates the git submodule commit reference for the private Pro package used by the recorder feature.

pro

react-native.config.jsConditionally autolink Pro native modules when submodule is present +36/-0

Conditionally autolink Pro native modules when submodule is present

• Adds a guarded dependency entry for '@offgrid/pro' so React Native autolinking only runs when pro native files exist on disk. Prevents public clones (without submodule init) from breaking native builds.

react-native.config.js

types.tsUpdate navigation param types for Settings screen and Memory tab +2/-1

Update navigation param types for Settings screen and Memory tab

• Adds 'Settings' to the root stack type and replaces the 'SettingsTab' entry with 'MemoryTab' in the main tab param list.

src/navigation/types.ts

remoteServer.tsAdd whisper as a supported remote provider type +1/-1

Add whisper as a supported remote provider type

• Extends 'RemoteProviderType' to include 'whisper' for recorder STT server configurations.

src/types/remoteServer.ts

@qodo-code-review

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CI Feedback 🧐

A test triggered by this PR failed. Here is an AI-generated analysis of the failure:

Action: test

Failed stage: Run Jest tests [❌]

Failed test name: calls initWhisper with file path

Failure summary:

The action failed because the Jest test run had multiple failing test suites (exit code 1), so the
CI step terminated unsuccessfully.
Key failures shown in the log:
-
tests/unit/services/whisperService.test.ts failed:
- Test loadModelcalls initWhisper with
file path failed.
- Test transcribeFilereturns transcription result failed.
-
tests/unit/services/whisperService.branches.test.ts failed due to WhisperService.downloadFromUrl
validation throwing an error because the downloaded Whisper model file size was only 1 KB (treated
as corrupted) and was deleted. The thrown error originates from src/services/whisperService.ts:251.

- tests/unit/onboarding/onboardingFlows.test.ts failed at
tests/unit/onboarding/onboardingFlows.test.ts:79:28 because STEP_TAB_MAP did not match the
expected object in maps all checklist step IDs to correct tabs.
-
tests/rntl/navigation/AppNavigator.test.tsx failed at
tests/rntl/navigation/AppNavigator.test.tsx:282:14 because the assertion
expect(getAllByText('Settings').length).toBeGreaterThanOrEqual(1) did not find the expected Settings
tab text.
Notes:
- The Node deprecation messages (Node 20 warnings / Node 24 default notice) are
informational here and are not the direct cause of failure; the failure is from the test suite
errors.

Relevant error logs:
1:  ##[group]Runner Image Provisioner
2:  Hosted Compute Agent
...

117:  ##[endgroup]
118:  Attempting to download 20...
119:  (node:1726) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
120:  (Use `node --trace-deprecation ...` to show where the warning was created)
121:  Acquiring 20.20.2 - arm64 from https://github.com/actions/node-versions/releases/download/20.20.2-23521894959/node-20.20.2-darwin-arm64.tar.gz
122:  Extracting ...
123:  [command]/usr/bin/tar xz --strip 1 -C /Users/runner/work/_temp/aa5267de-3eb8-437e-8b7e-6ee4beccf83b -f /Users/runner/work/_temp/05b5894d-a19f-4add-8bb5-37bd961011b8
124:  Adding to the cache ...
125:  ##[group]Environment details
126:  node: v20.20.2
127:  npm: 10.8.2
128:  yarn: 1.22.22
129:  ##[endgroup]
130:  [command]/Users/runner/hostedtoolcache/node/20.20.2/arm64/bin/npm config get cache
131:  /Users/runner/.npm
132:  (node:1726) [DEP0169] DeprecationWarning: `url.parse()` behavior is not standardized and prone to errors that have security implications. Use the WHATWG URL API instead. CVEs are not issued for `url.parse()` vulnerabilities.
133:  Cache hit for: node-cache-macOS-arm64-npm-90232c26f19cbee90d7152529f9d769d89f5c0aa61b3e44733d05d5293ed25be
...

210:  env:
211:  JAVA_HOME: /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/17.0.19-10/arm64/Contents/Home
212:  JAVA_HOME_17_ARM64: /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/17.0.19-10/arm64/Contents/Home
213:  ##[endgroup]
214:  PASS __tests__/unit/services/modelManager.test.ts (10.114 s)
215:  ModelManager
216:  initialize
217:  ✓ creates models directories when they do not exist (4 ms)
218:  ✓ does not create dirs when they already exist (1 ms)
219:  ✓ excludes model directories from iCloud backup on initialize (1 ms)
220:  getDownloadedModels
221:  ✓ returns empty array when nothing stored
222:  ✓ returns stored models that exist on disk (1 ms)
223:  ✓ filters out models whose files no longer exist (1 ms)
224:  ✓ updates storage when invalid entries are removed
225:  ✓ returns empty array on parse error (1 ms)
226:  deleteModel
...

237:  ✓ returns free space from RNFS
238:  getOrphanedFiles
239:  ✓ finds untracked GGUF files (1 ms)
240:  ✓ excludes tracked files (1 ms)
241:  ✓ returns empty array when directory is empty
242:  ✓ finds orphaned image model directories
243:  determineCredibility
244:  ✓ recognizes lmstudio-community source (1 ms)
245:  ✓ recognizes official model authors
246:  ✓ recognizes verified quantizers
247:  ✓ defaults to community for unknown authors
248:  downloadModelBackground
249:  ✓ throws when not supported (21 ms)
250:  ✓ skips download when files already exist (9 ms)
251:  ✓ starts background download for main model (1 ms)
252:  ✓ sets up progress listener during start and complete/error via watchDownload (1 ms)
253:  ✓ calls metadata callback with download info
254:  ✓ downloads mmproj in parallel via startDownload when present (2 ms)
255:  ✓ uses file.downloadUrl when set (cross-repo curated entries)
256:  resetMmProjForRetry
257:  ✓ restores mmproj completion flags and local path for retried sidecars (1 ms)
258:  ✓ leaves entries without mmproj download untouched
259:  syncBackgroundDownloads
260:  ✓ returns empty when not supported
261:  ✓ processes completed downloads (1 ms)
262:  ✓ clears failed downloads
263:  ✓ skips downloads with no metadata
...

283:  ✓ detects clip .gguf filenames
284:  ✓ rejects non-mmproj filenames
285:  ✓ is case-insensitive (1 ms)
286:  cleanupMMProjEntries
287:  ✓ removes mmproj entries from models list
288:  ✓ handles empty model list
289:  ✓ links orphaned mmproj files to matching vision models
290:  ✓ returns count of removed entries (2 ms)
291:  importLocalModel
292:  ✓ imports valid .gguf file successfully (1 ms)
293:  ✓ rejects non-.gguf files (20 ms)
294:  ✓ rejects when destination already exists (1 ms)
295:  ✓ parses quantization from filename (2 ms)
296:  ✓ sets quantization to Unknown when not parseable (1 ms)
297:  ✓ adds imported model to storage (2 ms)
298:  ✓ handles copy failure gracefully (1 ms)
299:  ✓ reports progress during copy (2 ms)
300:  refreshModelLists
301:  ✓ calls both scan functions and returns combined results (1 ms)
302:  ✓ returns existing models even when scan finds nothing new (4 ms)
303:  saveModelWithMmproj
304:  ✓ updates model with mmproj info and persists (1 ms)
305:  ✓ derives mmProjFileSize from RNFS.stat
306:  deleteOrphanedFile when file does not exist
307:  ✓ handles missing file gracefully (1 ms)
308:  cancelBackgroundDownload when not supported
309:  ✓ throws when background service is unavailable
310:  scanForUntrackedTextModels tiny files
311:  ✓ skips files smaller than 1MB
312:  getOrphanedFiles with directory read error
313:  ✓ returns empty when image model dir read fails (1 ms)
314:  deleteModel mmProjPath catch branch
315:  ✓ continues when mmProjPath deletion fails
316:  getDownloadedModels path re-resolution
317:  ✓ re-resolves text model path when original path not found
318:  ✓ re-resolves mmProjPath when original path not found
319:  getDownloadedImageModels path re-resolution
320:  ✓ re-resolves image model path when original not found (1 ms)
321:  getOrphanedFiles image model isFile branch
322:  ✓ uses file size directly for orphaned image model files
323:  scanForUntrackedImageModels coreml backend detection
324:  ✓ detects coreml backend from directory name
325:  ✓ skips empty directories
326:  scanForUntrackedImageModels readDir error
327:  ✓ skips directory when readDir fails (1 ms)
328:  scanForUntrackedImageModels skips non-directories
329:  ✓ skips files in image models directory
330:  downloadModelBackground complete handler
331:  ✓ processes completed background download with mmproj (1 ms)
332:  downloadModelBackground error handler
333:  ✓ calls onError when background download fails (1 ms)
334:  repairMmProj
...

352:  ✓ returns model path when found (1 ms)
353:  ✓ returns null when model not found
354:  getImageModelsStorageUsed
355:  ✓ returns total storage used by image models (1 ms)
356:  ✓ returns 0 when no image models (1 ms)
357:  addDownloadedImageModel
358:  ✓ adds new image model to registry
359:  ✓ replaces existing image model with same ID (2 ms)
360:  scanForUntrackedTextModels edge cases
361:  ✓ returns empty when directory does not exist (1 ms)
362:  ✓ discovers untracked GGUF files
363:  ✓ skips mmproj files (1 ms)
364:  ✓ skips tiny files
365:  ✓ skips already registered models
366:  ✓ handles string file sizes
367:  ✓ catches errors during scan (1 ms)
368:  scanForUntrackedImageModels edge cases
369:  ✓ returns empty when directory does not exist
370:  ✓ discovers untracked image model directories
371:  ✓ detects qnn backend from directory name
372:  ✓ detects coreml backend from directory name (1 ms)
373:  ✓ skips directories with 0 size
374:  ✓ skips already registered model directories
375:  ✓ handles string file sizes in model directory
376:  importLocalModel additional branches
377:  ✓ replaces existing model with same ID in registry (1 ms)
378:  deleteOrphanedFile
379:  ✓ deletes file that exists (1 ms)
380:  ✓ does nothing when file does not exist
381:  ✓ throws when deletion fails
382:  getDownloadedImageModels
383:  ✓ returns empty array when no stored data
384:  ✓ filters out models whose files no longer exist (1 ms)
385:  setBackgroundDownloadMetadataCallback
386:  ✓ stores the callback
387:  importLocalModel — Android content:// URI handling
388:  ✓ copies content:// URI directly to models dir on Android (no temp cache) (1 ms)
389:  copyFileWithProgress — poll interval callback
390:  ✓ fires progress callback via setInterval poll during copy (1 ms)
391:  buildDownloadedModel
392:  ✓ sets mmProjFileName when mmproj file exists (1 ms)
393:  ✓ sets mmProjFileName from expectedMmProjFileName when mmproj download failed
394:  ✓ omits mmProjFileName when model has no vision support
...

400:  ✓ re-unzips from valid zip when _zip_name present and zip valid (2 ms)
401:  ✓ deletes partial dir when _zip_name present but zip is missing (1 ms)
402:  ✓ deletes stale dir when neither _ready nor _zip_name exist (1 ms)
403:  ✓ resolves CoreML model path via resolveCoreMLModelDir (1 ms)
404:  importLocalModel — LiteRT branches
405:  ✓ imports a .litertlm file with engine=litert and liteRTVision=false (1 ms)
406:  ✓ imports a .litertlm file with liteRTVision=true
407:  ✓ omits engine and liteRTVision when not provided
408:  PASS __tests__/unit/services/llm.test.ts
409:  LLMService
410:  loadModel
411:  ✓ calls initLlama with correct parameters (7 ms)
412:  ✓ throws when model file not found (50 ms)
413:  ✓ skips loading if same model already loaded (11 ms)
414:  ✓ unloads existing model before loading different one (77 ms)
415:  ✓ falls back to CPU when GPU init fails (2 ms)
416:  ✓ falls back to smaller context when CPU also fails (4 ms)
417:  ✓ warns when mmproj file not found but continues (2 ms)
418:  ✓ initializes multimodal when mmproj path provided and exists (1 ms)
419:  ✓ reads settings from appStore (2 ms)
420:  ✓ uses llama.rn jinja support to detect thinking support (3 ms)
421:  ✓ uses flashAttn=true from store and sets q8_0 KV cache (5 ms)
422:  ✓ uses flashAttn=false from store and sets f16 KV cache when cacheType is f16 (3 ms)
423:  ✓ falls back to platform default when flashAttn is undefined (iOS → flash attn ON) (1 ms)
424:  ✓ captures GPU status from context (1 ms)
425:  ✓ resets state on final error (3 ms)
426:  initializeMultimodal
427:  ✓ returns false when no context (4 ms)
428:  ✓ calls context.initMultimodal with correct path (4 ms)
429:  ✓ sets vision support on success (3 ms)
430:  ✓ returns false on initMultimodal failure (4 ms)
431:  ✓ handles exception gracefully (6 ms)
432:  unloadModel
433:  ✓ releases context and resets state (2 ms)
434:  ✓ is safe when no model loaded
435:  generateResponse
436:  ✓ throws when no model loaded (30 ms)
437:  ✓ throws when generation already in progress (2 ms)
438:  ✓ streams tokens via onStream callback (4 ms)
439:  ✓ returns full response and calls onComplete (2 ms)
440:  ✓ updates performance stats (2 ms)
441:  ✓ resets isGenerating on error (5 ms)
442:  ✓ uses messages format for text-only path (2 ms)
...

476:  ✓ formats user message with ChatML tags (2 ms)
477:  ✓ formats assistant message with ChatML tags (2 ms)
478:  ✓ ends with assistant prefix for generation (1 ms)
479:  ✓ preserves message order
480:  convertToOAIMessages
481:  ✓ converts text-only message to simple format (1 ms)
482:  ✓ converts message with images to multipart format (1 ms)
483:  ✓ adds file:// prefix to local image URIs
484:  ✓ preserves file:// prefix when already present
485:  ✓ handles multiple images in one message (1 ms)
486:  ✓ does not convert assistant messages with images
487:  context window tokenize fallback
488:  ✓ uses char/4 estimation when tokenize throws (2 ms)
489:  reloadWithSettings
490:  ✓ unloads existing model and reloads with new settings (2 ms)
491:  ✓ resets state on reload failure when all attempts fail (21 ms)
492:  hashString
493:  ✓ returns consistent hash for same input
494:  ✓ returns different hashes for different inputs
495:  getModelInfo
496:  ✓ returns null without model loaded (1 ms)
497:  ✓ returns info when model loaded (1 ms)
498:  vision support helpers
499:  ✓ supportsVision returns false when no model loaded
500:  ✓ getMultimodalSupport returns null when no model loaded (1 ms)
501:  stopGeneration error branch
502:  ✓ handles stopCompletion error gracefully (5 ms)
503:  clearKVCache error branch
504:  ✓ handles clearCache error gracefully (8 ms)
505:  ensureSessionCacheDir branches
506:  ✓ creates dir when it does not exist (3 ms)
507:  getGpuInfo Android branches
508:  ✓ returns OpenCL when OpenCL backend selected on Android with no devices (4 ms)
509:  ✓ returns device names when OpenCL backend selected on Android with devices (2 ms)
510:  getTokenCount
511:  ✓ returns token count for text (1 ms)
512:  ✓ returns 0 when tokens is undefined (2 ms)
513:  ✓ throws when no model loaded
514:  convertToOAIMessages empty content branch
515:  ✓ skips text part when message content is empty
516:  checkMultimodalSupport branches
517:  ✓ returns false when no context
518:  ✓ returns support from getMultimodalSupport when available (2 ms)
519:  ✓ handles getMultimodalSupport not being a function (3 ms)
520:  ✓ handles getMultimodalSupport throwing error (3 ms)
521:  loadModel metadata branches
522:  ✓ reads model metadata and logs context length warning (6 ms)
523:  ✓ handles metadata without context_length (2 ms)
524:  ✓ handles null model metadata (1 ms)
525:  reloadWithSettings flash attention
526:  ✓ passes flashAttn=true from store to reloadWithSettings (3 ms)
527:  ✓ passes flashAttn=false and cacheType=f16 from store to reloadWithSettings (2 ms)
528:  ✓ falls back to platform default in reloadWithSettings when flashAttn is undefined (iOS → ON) (2 ms)
529:  reloadWithSettings GPU fallback
530:  ✓ falls back to CPU when GPU reload fails (1 ms)
531:  loadModel without mmproj calls checkMultimodalSupport
532:  ✓ calls checkMultimodalSupport when no mmproj provided (1 ms)
533:  formatMessages with vision attachments
534:  ✓ adds image markers when vision is supported (2 ms)
535:  loadModel mmproj file size warning
536:  ✓ warns when mmproj file is suspiciously small (1 ms)
537:  ✓ does not warn when mmproj file is large enough (1 ms)
538:  ✓ handles stat error for mmproj file (4 ms)
539:  generateResponse with vision mode
...

542:  generateResponse uses store settings
543:  ✓ applies temperature from settings (3 ms)
544:  getContextDebugInfo
545:  ✓ returns debug info about context usage (6 ms)
546:  ✓ shows truncation info when messages are truncated (7 ms)
547:  ✓ uses char/4 estimation when tokenize throws in debug info (2 ms)
548:  reloadWithSettings with GPU disabled
549:  ✓ skips GPU attempt when GPU is disabled (2 ms)
550:  performance stats
551:  ✓ returns zero stats before any generation
552:  ✓ returns a copy of settings (not reference) (1 ms)
553:  ✓ returns a copy of stats (not reference)
554:  initializeMultimodal GPU usage based on device
555:  ✓ disables GPU for CLIP on iOS simulator (5 ms)
556:  ✓ enables GPU for CLIP on real iOS device (4 ms)
557:  loadModel error message wrapping
558:  ✓ wraps error with custom message (3 ms)
559:  ✓ handles error without message property (1 ms)
560:  unloadModel resets all state
561:  ✓ resets GPU info after unload (2 ms)
562:  getOptimalThreadCount and getOptimalBatchSize fallbacks
563:  ✓ uses getOptimalThreadCount when nThreads is 0 (1 ms)
564:  ✓ uses getOptimalBatchSize when nBatch is 0 (1 ms)
565:  ensureSessionCacheDir
566:  ✓ creates directory when it does not exist (1 ms)
567:  ✓ skips mkdir when directory already exists
568:  ✓ catches and logs errors without throwing (2 ms)
569:  getSessionPath
...

666:  project management
667:  ✓ shows project hint in empty chat state (14 ms)
668:  ✓ shows "Default" when no project assigned (16 ms)
669:  ✓ shows project name in settings modal when project is assigned (27 ms)
670:  ✓ opens project selector from settings modal (39 ms)
671:  ✓ assigns project to conversation when selected (57 ms)
672:  ✓ clears project when Default is selected (65 ms)
673:  image generation progress
674:  ✓ shows image generation progress indicator when generating (21 ms)
675:  ✓ shows "Refining Image" when preview is available (19 ms)
676:  ✓ does not show progress indicator when not generating (18 ms)
677:  model selector modal
678:  ✓ opens model selector from header via the manager sheet (40 ms)
679:  ✓ closes model selector when close is pressed (41 ms)
680:  ✓ handles model selection with memory check (116 ms)
681:  ✓ shows alert when memory check fails (46 ms)
682:  ✓ shows warning alert with Load Anyway option for low memory (134 ms)
683:  ✓ handles unload model from selector without crash (30 ms)
684:  settings modal
685:  ✓ opens settings modal from header icon (18 ms)
686:  ✓ closes settings modal (21 ms)
687:  ✓ does not show delete button when no active conversation
688:  ✓ shows gallery button when conversation has images (29 ms)
689:  conversation with images
690:  ✓ counts images in conversation messages (31 ms)
691:  error handling
692:  ✓ shows alert when no model is selected and trying to send (2 ms)
...

709:  scroll handling
710:  ✓ renders FlatList with scroll handler when messages exist (17 ms)
711:  model loading state
712:  ✓ shows loading indicator when model is loading (via internal state) (11 ms)
713:  queue management
714:  ✓ registers queue processor on mount (15 ms)
715:  ✓ clears queue processor on unmount (11 ms)
716:  image generation routing
717:  ✓ routes to image generation in force mode (28 ms)
718:  ✓ routes to text when image generation is already in progress (22 ms)
719:  classifying intent
720:  ✓ message is added to conversation when sent in auto mode with image model (31 ms)
721:  ✓ sends message in manual mode without force image (29 ms)
722:  ✓ does not route to image when no image model is active (31 ms)
723:  copy message
724:  ✓ handles copy message action without error (15 ms)
725:  keyboard handling
...

733:  system messages with showGenerationDetails
734:  ✓ skips system message when showGenerationDetails is false (11 ms)
735:  handleModelSelect early return
736:  ✓ closes selector when selecting already-loaded model (28 ms)
737:  handleModelSelect memory check
738:  ✓ shows insufficient memory alert when canLoad is false (27 ms)
739:  ✓ shows warning with Load Anyway option when severity is warning (31 ms)
740:  proceedWithModelLoad
741:  ✓ loads model and creates conversation when none exists (554 ms)
742:  handleUnloadModel during streaming
743:  ✓ unloads model via selector (553 ms)
744:  shouldRouteToImageGeneration manual mode
745:  ✓ generates image when forceImageMode=true in manual mode (570 ms)
746:  LLM intent classification
747:  ✓ classifies intent with LLM method and routes to image (567 ms)
748:  ✓ falls back to text when intent classification fails (61 ms)
749:  document attachment handling
750:  ✓ appends document content to message text (58 ms)
751:  image requested but no model
752:  ✓ prepends note when image requested but no image model loaded (81 ms)
753:  model reload during generation
754:  ✓ shows error when model fails to load during generation (328 ms)
755:  context debug and cache clearing
756:  ✓ clears cache when context usage is high (162 ms)
757:  delete conversation while streaming
758:  ✓ shows delete confirmation and deletes conversation (50 ms)
759:  regenerateResponse with image routing
760:  ✓ regenerates as image when intent is image (582 ms)
761:  handleSend without model
762:  ✓ shows alert when no active conversation and no model (7 ms)
763:  generation error handling
764:  ✓ shows alert when generation service throws (72 ms)
765:  gallery navigation
766:  ✓ navigates to Gallery from settings when images exist (36 ms)
767:  animation tracking
768:  ✓ tracks new message animations (39 ms)
769:  model loading screen
770:  ✓ does not show the loading bar on chat open (load deferred to send) (527 ms)
771:  ensureModelLoaded memory check
772:  ✓ does not run the memory check or alert on chat open (load deferred to send) (314 ms)
773:  image generation failure
774:  ✓ shows error alert when image generation fails (54 ms)
775:  settings from input
776:  ✓ opens settings panel from input button (71 ms)
777:  handleImageGeneration without model
778:  ✓ shows error when no image model is active (70 ms)
779:  project hint
780:  ✓ shows project initial in empty chat (42 ms)
781:  save image error
782:  ✓ handles save image failure gracefully (47 ms)
783:  generation ref cleared on conversation switch
...

786:  ✓ preloads classifier model when conditions are met (performance mode + LLM + no model loaded) (20 ms)
787:  ✓ does not preload classifier when model is already loaded (21 ms)
788:  handleScroll shows scroll-to-bottom button
789:  ✓ shows scroll-to-bottom button when user is far from bottom (64 ms)
790:  addSystemMessage after model load with showGenerationDetails
791:  ✓ does not load the model on chat open when showGenerationDetails is true (load deferred to send) (119 ms)
792:  Load Anyway button in memory warning alert
793:  ✓ pressing Load Anyway dismisses alert and proceeds with model load (577 ms)
794:  proceedWithModelLoad with no active conversation
795:  ✓ does not create a conversation when model loads and no conversation exists (571 ms)
796:  handleUnloadModel while streaming
797:  ✓ stops generation before unloading when streaming is active (329 ms)
798:  ✓ exercises showGenerationDetails branch when unloading model (594 ms)
799:  shouldRouteToImageGeneration LLM path with text result
800:  ✓ clears image generation status when LLM classifies as text (251 ms)
801:  handleImageGeneration shows error when no image model
802:  ✓ shows error alert from handleGenerateImageFromMessage when no image model (44 ms)
803:  handleSend alert when conversation exists but model missing
804:  ✓ shows No Model Selected alert when conversation exists but activeModel is null (8 ms)
805:  startGeneration fails when model cannot load
806:  ✓ exercises startGeneration path when model reload fails (938 ms)
807:  getContextDebugInfo error is silently caught
808:  ✓ continues generation even when context debug info throws (577 ms)
809:  generateResponse error shows alert
810:  ✓ shows Generation Error alert when generateResponse throws (629 ms)
811:  handleDeleteConversation while streaming
812:  ✓ stops generation before deleting conversation while streaming (108 ms)
813:  image generation failed alert shown
814:  ✓ exercises image generation failure path (line 625-626) (98 ms)
815:  clear queue button
816:  ✓ calls generationService.clearQueue when clear queue button is pressed (43 ms)
817:  project hint tap opens selector
818:  ✓ opens project selector when tapping project hint in empty chat (33 ms)
819:  image viewer backdrop tap closes viewer
820:  ✓ closes image viewer when backdrop is tapped (68 ms)
821:  gallery navigation from settings modal
822:  ✓ navigates to Gallery when open gallery button is pressed (64 ms)
823:  model loading screen vision hint
824:  ✓ does not load a vision model on chat open (load deferred to send) (127 ms)
825:  ensureModelLoaded already correctly loaded
826:  ✓ sets vision support from current loaded model without reloading (118 ms)
827:  proceedWithModelLoad error handling
828:  ✓ shows error alert when proceedWithModelLoad fails (594 ms)
829:  handleUnloadModel error handling
830:  ✓ shows error alert when unload fails (378 ms)
831:  vision support useEffect
...

834:  ✓ shows model selector modal from no-model screen (19 ms)
835:  proceedWithModelLoad with showGenerationDetails and existing conversation
836:  ✓ adds system message after model load when showGenerationDetails is enabled (674 ms)
837:  pending settings warning
838:  ✓ shows warning when settings have changed but model not reloaded (35 ms)
839:  ✓ does not show warning when settings match loaded settings (27 ms)
840:  ✓ does not show warning when no model is loaded (7 ms)
841:  PASS __tests__/integration/models/activeModelService.test.ts
842:  ActiveModelService Integration
843:  Text Model Loading
844:  ✓ should load text model via llmService and update store (6 ms)
845:  ✓ should save loadedSettings when model is loaded
846:  ✓ should save loadedSettings with flash attention enabled (1 ms)
847:  ✓ should skip loading if model already loaded
848:  ✓ should unload previous model when loading different model (2 ms)
849:  ✓ should throw error if model not found (14 ms)
850:  ✓ should notify listeners during loading state changes (5 ms)
...

870:  ✓ should sync internal state with native module state
871:  ✓ should clear internal state if native reports no model loaded
872:  Performance Stats
873:  ✓ should proxy performance stats from llmService (1 ms)
874:  Active Models Info
875:  ✓ should return correct info about the loaded model
876:  ✓ should report no models when none loaded
877:  Has Any Model Loaded
878:  ✓ should return true when text model loaded
879:  ✓ should return true when image model loaded
880:  ✓ should return false when no models loaded
881:  Concurrent Load Prevention
882:  ✓ should wait for pending load to complete before starting new load (4 ms)
883:  unloadImageModel when no model loaded
884:  ✓ should skip unload when all sources say no model
885:  unloadAllModels error handling
886:  ✓ should continue unloading image model when text unload fails (1 ms)
887:  getResourceUsage
888:  ✓ returns memory usage information (1 ms)
889:  checkMemoryForModel with image type
890:  ✓ checks memory for image model with correct overhead
891:  checkMemoryForDualModel with null IDs
892:  ✓ handles null text model ID (1 ms)
893:  ✓ handles null image model ID (3 ms)
894:  clearTextModelCache
895:  ✓ delegates to llmService.clearKVCache (1 ms)
896:  loadTextModel timeout
897:  ✓ should throw timeout error when loading takes too long (68 ms)
898:  loadTextModel with vision model mmproj detection
899:  ✓ should detect mmproj file for vision model (1 ms)
900:  loadTextModel error resets state
901:  ✓ should clear loadedTextModelId on load failure (21 ms)
902:  loadImageModel error resets state
903:  ✓ should clear loadedImageModelId on load failure (5 ms)
904:  loadImageModel not found
...

912:  ✓ counts text model memory when checking image model (1 ms)
913:  checkMemoryForModel critical with other models message
914:  ✓ includes other models in critical message
915:  checkMemoryForDualModel warning and critical paths
916:  ✓ returns warning when dual model exceeds 50% RAM (1 ms)
917:  ✓ returns critical when dual models exceed budget
918:  syncWithNativeState with image model
919:  ✓ syncs image model internal state from store
920:  ✓ clears image model internal state when native reports not loaded (1 ms)
921:  unloadTextModel with store but no native
922:  ✓ clears store even when native is not loaded
923:  unloadImageModel with store but no native
924:  ✓ clears store even when native is not loaded
925:  loadTextModel vision model no mmproj found
926:  ✓ logs warning when no mmproj file found in directory (1 ms)
927:  loadTextModel vision model mmproj search failure
928:  ✓ catches error when readDir fails (1 ms)
929:  loadTextModel mmproj found updates store with multiple models
930:  ✓ only updates the matching model in store
931:  unloadTextModel waits for pending load
932:  ✓ waits for pending textLoadPromise before unloading (11 ms)
933:  unloadImageModel waits for pending load
934:  ✓ waits for pending imageLoadPromise before unloading (5 ms)
935:  loadImageModel already loaded but needs thread reload
936:  ✓ reloads when imageThreads changed (1 ms)
937:  loadImageModel concurrent load - different model
938:  ✓ loads new model after pending load for different model completes (5 ms)
939:  unloadAllModels error handling - image unload fails
940:  ✓ handles image unload error gracefully
941:  loadImageModel with coreml backend
...

986:  ✓ returns true for active conversation during generation (3 ms)
987:  ✓ returns false for different conversation during generation (3 ms)
988:  subscribe
989:  ✓ immediately calls listener with current state (1 ms)
990:  ✓ returns unsubscribe function (1 ms)
991:  ✓ unsubscribe removes listener (1 ms)
992:  ✓ multiple listeners receive updates
993:  generateResponse
994:  ✓ throws when no model loaded (30 ms)
995:  ✓ returns immediately when already generating (2 ms)
996:  ✓ sets isThinking true initially (3 ms)
997:  ✓ calls chatStore.startStreaming (2 ms)
998:  ✓ accumulates streaming tokens (3 ms)
999:  ✓ calls onFirstToken callback on first token (2 ms)
1000:  ✓ finalizes message on completion
1001:  ✓ handles generation error (11 ms)
1002:  ✓ throws error on generation failure (8 ms)
1003:  stopGeneration
1004:  ✓ always attempts to stop native generation (1 ms)
1005:  ✓ returns empty string when not generating (1 ms)
1006:  ✓ saves partial content when stopped (53 ms)
1007:  ✓ clears streaming message when no content (2 ms)
1008:  ✓ resets state after stopping (53 ms)
1009:  ✓ handles stopGeneration error gracefully
1010:  queue management
...

1014:  ✓ clearQueue removes all items (1 ms)
1015:  ✓ notifies listeners on queue changes
1016:  queue processor
1017:  ✓ setQueueProcessor registers callback
1018:  ✓ setQueueProcessor with null clears callback
1019:  ✓ processNextInQueue aggregates multiple messages (12 ms)
1020:  ✓ processNextInQueue passes single message directly (12 ms)
1021:  ✓ processNextInQueue does nothing without processor
1022:  abort handling
1023:  ✓ ignores tokens after abort is requested (52 ms)
1024:  store integration
1025:  ✓ updates chatStore streaming state during generation (2 ms)
1026:  ✓ includes generation metadata on finalized message (2 ms)
1027:  remote provider
1028:  ✓ routes to remote provider when activeServerId is set (1 ms)
1029:  ✓ throws error when remote provider is not found (1 ms)
1030:  ✓ throws error when remote provider is not ready
1031:  ✓ handles remote generation error (3 ms)
1032:  ✓ tracks time to first token for remote generation (13 ms)
1033:  ✓ stops remote generation on abort (14 ms)
1034:  ✓ handles onReasoning callback for remote generation (1 ms)
1035:  ✓ uses remote metadata in generation meta (1 ms)
1036:  buildGenerationMeta
1037:  ✓ includes GPU info for local generation (1 ms)
1038:  share prompt check
1039:  ✓ does not trigger share prompt if already engaged (1 ms)
1040:  reasoning content in local generateResponse
1041:  ✓ accumulates reasoning content in reasoningBuffer (1 ms)
1042:  error path clears flushTimer
1043:  ✓ clearTimeout on flushTimer when generation throws with buffered tokens (1 ms)
1044:  generateWithTools — local path via runToolLoop
1045:  ✓ runs tool loop and finalizes on success (1 ms)
1046:  ✓ calls onStreamReset to flush pending content
1047:  ✓ calls onFinalResponse to set streaming content (1 ms)
1048:  ✓ throws and clears state on runToolLoop error (3 ms)
1049:  ✓ throws and clears flushTimer on error if timer was set (12 ms)
1050:  resetState with queued items triggers processNextInQueue
1051:  ✓ schedules processNextInQueue when queue is non-empty after reset (2 ms)
1052:  checkSharePrompt — triggers share
1053:  ✓ calls emitSharePrompt when shouldShowSharePrompt returns true (1 ms)
1054:  stopGeneration — edge cases
1055:  ✓ clears streaming when there is no content on stop
1056:  ✓ aborts remote controller when not generating and controller exists
1057:  ✓ returns streamingContent when stopping remote generation (1 ms)
1058:  generateWithTools — remote path via generateRemoteWithTools
1059:  ✓ routes generateWithTools to generateRemoteWithTools and calls runToolLoop with forceRemote (3 ms)
1060:  ✓ throws when remote provider not found in generateRemoteWithTools
1061:  ✓ finalizes after remote tool loop when not aborted (1 ms)
1062:  generateRemoteResponse — error updates server health
1063:  ✓ marks server offline when provider.generate throws (1 ms)
...

1075:  normalizeStreamChunk
1076:  ✓ wraps string data as content object (1 ms)
1077:  ✓ passes through object data unchanged
1078:  buildToolLoopHandlers — onStream abort guard
1079:  ✓ returns early from onStream when abortRequested is true
1080:  ✓ accumulates reasoning content in reasoningBuffer via onStream (1 ms)
1081:  isUsingRemoteProvider — local model wins when loaded
1082:  ✓ uses local LLM when local model is loaded even if remote server is configured (1 ms)
1083:  buildToolLoopHandlers — isAborted and timer flush
1084:  ✓ isAborted returns the current abortRequested value
1085:  ✓ onStream schedules flushTokenBuffer via setTimeout and fires on advance (1 ms)
1086:  generateRemoteWithTools — no provider available
1087:  ✓ getCurrentProvider returns local provider fallback when no activeServerId
1088:  resetState — flushTimer cleanup
1089:  ✓ clears flushTimer in resetState when timer is set (1 ms)
1090:  generateRemoteResponse — flushTimer in error paths
1091:  ✓ clears flushTimer in catch block when timer was set by onToken (3 ms)
1092:  ✓ clears flushTimer in onError callback when timer was set by onToken (2 ms)
1093:  ✓ triggers onReasoning flush timer path (1 ms)
...

1099:  ✓ returns false when already generating image (1 ms)
1100:  ✓ returns forceImageMode===true when mode is manual
1101:  ✓ returns true immediately when forceImageMode and imageModelLoaded (1 ms)
1102:  ✓ returns false when imageModelLoaded is false
1103:  ✓ with no text model, routes a chat request to text (heuristics)
1104:  ✓ with no text model, routes an image request to image (heuristics)
1105:  ✓ with no text model but a classifier configured, uses the SMOL LLM
1106:  ✓ classifies intent via LLM when autoDetectMethod=llm (1 ms)
1107:  ✓ resets image status when LLM returns non-image intent
1108:  ✓ returns false and resets state when classification throws
1109:  handleImageGenerationFn
1110:  ✓ shows alert when no image model loaded (1 ms)
1111:  ✓ adds user message when skipUserMessage is false (default) (6 ms)
1112:  ✓ keeps attachments (e.g. a voice note) on the user message in the image route (2 ms)
1113:  ✓ skips user message when skipUserMessage=true
1114:  ✓ shows alert when image generation returns null and there is a non-cancel error
1115:  ✓ does not show alert when error is "cancelled" (1 ms)
1116:  executeDeleteConversationFn
...

1153:  ✓ treats an unset gate as allowed (backward compatible)
1154:  ✓ regenerate also honours the UI tool gate (1 ms)
1155:  RAG context injection in startGenerationFn
1156:  ✓ injects doc list and RAG context when conversation has a projectId and search returns chunks
1157:  ✓ injects doc list even when BM25 returns no chunks (1 ms)
1158:  ✓ does not inject RAG context when conversation has no projectId
1159:  ✓ does not inject doc list when all docs are disabled
1160:  ✓ continues generation even if RAG search throws (40 ms)
1161:  ✓ auto-enables search_knowledge_base tool for project conversations
1162:  RAG context injection in regenerateResponseFn
1163:  ✓ injects RAG context for project conversations (1 ms)
1164:  ✓ skips RAG for non-project conversations
1165:  embedding model warmup in injectRagContext
1166:  ✓ fires embeddingService.load() when project has enabled docs and model is not loaded
1167:  ✓ does not call load() when embedding model is already loaded
1168:  ✓ does not block generation if embedding load fails (1 ms)
1169:  ✓ does not fire warmup when no enabled docs exist (1 ms)
1170:  handleSelectProjectFn
1171:  ✓ sets conversation project when activeConversationId is set
1172:  ✓ clears project when project is null
1173:  ✓ skips setConversationProject when no activeConversationId (2 ms)
1174:  handleSendFn — additional branches
1175:  ✓ appends document attachment content to message text
1176:  ✓ ignores attachments without textContent
1177:  ✓ enqueues message when generation is already in progress
1178:  ✓ prefixes message when shouldGenerateImage=true but no image model loaded
1179:  startGenerationFn — remote model path
1180:  ✓ skips local model loading for remote models
1181:  ✓ uses all tools when remote server is active (bypasses heuristic) (1 ms)
1182:  regenerateResponseFn — model not loaded
1183:  ✓ returns early when local model is not loaded
1184:  ✓ does not return early for remote models even if local model is not loaded
1185:  generateWithCompactionRetry — context full error path
1186:  ✓ rethrows non-context-full errors (1 ms)
1187:  ✓ retries with compacted messages on context full error
1188:  ✓ falls back to recent messages when compact throws
...

1223:  ✓ shows alert when toggling without image model loaded (17 ms)
1224:  ✓ cycles through auto -> force -> disabled -> auto (39 ms)
1225:  ✓ quick settings button is always visible regardless of props (5 ms)
1226:  vision capabilities
1227:  ✓ shows attach button when supportsVision is true (6 ms)
1228:  ✓ shows attach button even when supportsVision is false (4 ms)
1229:  ✓ shows alert when pressing photo without vision support (19 ms)
1230:  ✓ opens image picker when pressing photo with vision support (26 ms)
1231:  ✓ attach button is present when vision is supported (6 ms)
1232:  attachments
1233:  ✓ shows custom alert when photo is pressed via attach picker (31 ms)
1234:  ✓ shows attachment preview after selecting image (347 ms)
1235:  ✓ can send message with attachment (356 ms)
1236:  ✓ renders attach button always (6 ms)
1237:  ✓ opens document picker when document is pressed via attach picker (65 ms)
1238:  ✓ shows error alert for unsupported file types (71 ms)
1239:  ✓ does nothing when document picker is cancelled (46 ms)
1240:  ✓ shows document preview with file icon after picking document (81 ms)
1241:  ✓ sends message with document attachment (89 ms)
1242:  ✓ shows error alert when processDocumentFromPath fails (65 ms)
1243:  ✓ handles processDocumentFromPath returning null (17 ms)
...

1272:  ✓ renders and handles stop button when onStop is provided (3 ms)
1273:  send with attachment but no text
1274:  ✓ shows send button when only attachments are present (330 ms)
1275:  disabled does not send with attachment
1276:  ✓ does not call onSend when disabled even with attachments (4 ms)
1277:  voice recording integration
1278:  ✓ starts recording and tracks conversationId (4 ms)
1279:  ✓ inserts transcribed text into message when finalResult arrives (10 ms)
1280:  ✓ appends transcribed text to existing message (21 ms)
1281:  ✓ clears pending transcription when conversation changes (7 ms)
1282:  ✓ calls stopRecording and clearResult on cancel recording (4 ms)
1283:  image mode toggle alert when no model loaded
1284:  ✓ shows alert when toggling image mode without loaded model (10 ms)
1285:  camera capture flow
1286:  ✓ picks image from camera when Camera option is pressed (26 ms)
1287:  ✓ handles camera error gracefully (19 ms)
1288:  ✓ handles camera returning no assets (22 ms)
1289:  photo library error
1290:  ✓ handles photo library error gracefully (25 ms)
1291:  document picker error without message
1292:  ✓ shows fallback error message when error has no message (65 ms)
1293:  voice recording without conversationId
...

1337:  ✓ shows import button (53 ms)
1338:  ✓ triggers file picker on import press (54 ms)
1339:  recommended models
1340:  ✓ RECOMMENDED_MODELS has entries (1 ms)
1341:  ✓ all recommended models have minRam
1342:  ✓ all recommended models have type badges (text/vision/code) (1 ms)
1343:  ✓ recommended models have editorial ordering with Gemma 4 first
1344:  ✓ MODEL_ORGS contains expected organizations (1 ms)
1345:  type filter
1346:  ✓ filters by text models
1347:  ✓ filters by vision models
1348:  ✓ has no code models after removal
1349:  multi-file download
1350:  ✓ vision model files include mmProjFile (1 ms)
1351:  ✓ calculates combined size for vision model files
1352:  search error handling
1353:  ✓ handles search network error gracefully (47 ms)
1354:  text filter bar
...

1410:  ✓ shows image filter toggle on image tab (41 ms)
1411:  ✓ renders device recommendation banner on image tab (58 ms)
1412:  import progress
1413:  ✓ shows import progress card when importing (44 ms)
1414:  tab switching resets state
1415:  ✓ resets text filters when switching to image tab (103 ms)
1416:  model type detection
1417:  ✓ detects code models from tags (582 ms)
1418:  ✓ detects image-gen models from diffusion tags (571 ms)
1419:  file compatibility
1420:  ✓ hides models with files too large for device RAM (585 ms)
1421:  ✓ shows models with no file info (files not yet fetched) (575 ms)
1422:  recommended models with filters
1423:  ✓ filters recommended models by type filter (96 ms)
1424:  ✓ hides recommended models that are already downloaded (40 ms)
1425:  search error display
1426:  ✓ handles API error gracefully during search (52 ms)
1427:  detail view navigation
...

1446:  handleSearch with active filters
1447:  ✓ triggers HuggingFace search when vision type filter is set and query is empty (84 ms)
1448:  ✓ does not trigger HuggingFace search when query is empty and no filters are active (42 ms)
1449:  ✓ triggers HuggingFace search with "coder" keyword when code filter is set and query is empty (79 ms)
1450:  formatNumber display
1451:  ✓ shows formatted download count in detail view (575 ms)
1452:  PASS __tests__/integration/generation/imageGenerationFlow.test.ts
1453:  Image Generation Flow Integration
1454:  Image Generation Lifecycle
1455:  ✓ should update state during generation lifecycle (4 ms)
1456:  ✓ should call localDreamGeneratorService with correct parameters (1 ms)
1457:  ✓ should save generated image to gallery (2 ms)
1458:  ✓ should add message to chat when conversationId is provided (3 ms)
1459:  Progress Updates
1460:  ✓ should receive and propagate progress updates (1 ms)
1461:  Error Handling
1462:  ✓ should handle generation errors gracefully (27 ms)
1463:  ✓ should return null when no model is selected (1 ms)
1464:  ✓ should handle model load failure (1 ms)
1465:  Cancel Generation
...

1477:  Prompt Enhancement with Conversation Context
1478:  ✓ should pass conversation history to enhancement when conversationId provided (3 ms)
1479:  ✓ should not include conversation context when no conversationId (2 ms)
1480:  ✓ should truncate long messages in conversation context (1 ms)
1481:  ✓ should limit conversation context to last 10 messages (3 ms)
1482:  ✓ should skip system messages from conversation context (1 ms)
1483:  ✓ should use original prompt when enhancement is disabled (2 ms)
1484:  ✓ should handle empty conversation gracefully (2 ms)
1485:  cancelGeneration when not generating
1486:  ✓ should return immediately when not generating
1487:  isGeneratingFor
1488:  ✓ returns false when not generating (1 ms)
1489:  ✓ returns true when generating for matching conversation (3 ms)
1490:  generation returning null result (no imagePath)
1491:  ✓ should return null when native generator returns null (1 ms)
1492:  prompt enhancement error handling
1493:  ✓ should fall back to original prompt when enhancement fails (1 ms)
1494:  ✓ should skip enhancement when LLM is not loaded (1 ms)
1495:  enhancement result update vs delete thinking message
1496:  ✓ should update thinking message when enhancement produces different prompt (6 ms)
1497:  ✓ should delete thinking message when enhancement returns same prompt (2 ms)
1498:  generation with conversation metadata
1499:  ✓ should include correct backend metadata for QNN model (1 ms)
1500:  cancelRequested during generation
1501:  ✓ should check cancelRequested after model load (1 ms)
1502:  generation without conversationId
1503:  ✓ should save to gallery but not add chat message (1 ms)
1504:  enhancement with LLM currently generating
1505:  ✓ should still attempt enhancement even if LLM was generating (3 ms)
1506:  prompt enhancement strips thinking model tags
1507:  ✓ should strip <think> tags from thinking model responses (2 ms)
1508:  ✓ should handle thinking model response that is only a think block (1 ms)
1509:  ✓ should handle response without think tags normally (3 ms)
1510:  cancelled error handling
1511:  ✓ should reset state when error message includes cancelled (3 ms)
1512:  prompt enhancement stopGeneration cleanup (lines 247, 287-291)
1513:  ✓ should call stopGeneration after successful enhancement (line 247) (1 ms)
1514:  ✓ should call stopGeneration even when stopGeneration itself throws (lines 253-255) (3 ms)
1515:  ✓ should delete thinking message and call stopGeneration when enhancement fails with conversationId (lines 287-298) (5 ms)
1516:  ✓ should call stopGeneration in catch when stopGeneration itself throws during error cleanup (lines 290-292) (2 ms)
1517:  ✓ should update thinking message in chat when enhancement succeeds with conversationId (lines 263-278) (3 ms)
1518:  ✓ should delete thinking message when enhancement returns same prompt as original (lines 274-278) (2 ms)
1519:  onPreview callback normal path (lines 388-389)
1520:  ✓ should update previewPath state when onPreview fires without cancellation (1 ms)
1521:  onPreview callback skipped when cancelRequested (lines 387-389)
1522:  ✓ should skip preview update when cancelRequested is true during preview callback (4 ms)
1523:  cancelRequested check after generateImage resolves (lines 397-398)
1524:  ✓ should return null when cancelRequested is set before generateImage resolves (3 ms)
1525:  OpenCL kernel cache branches
1526:  ✓ logs warning and sets isFirstGpuRun=false when hasKernelCache throws (1 ms)
1527:  ✓ uses regular progress status when kernel cache exists (isFirstGpuRun=false) (8 ms)
1528:  _ensureImageModelLoaded with null activeImageModelId
1529:  ✓ returns false and sets error when activeImageModelId is null but model not loaded (1 ms)
1530:  PASS __tests__/rntl/screens/HomeScreen.test.tsx (10.158 s)
...

1594:  ✓ shows "Unload current model" when image model is active (28 ms)
1595:  ✓ shows model item for active text model (32 ms)
1596:  ✓ closes picker when close button pressed (33 ms)
1597:  ✓ shows "Browse more models" link in picker (29 ms)
1598:  ✓ navigates to ModelsTab when "Browse more models" pressed (42 ms)
1599:  ✓ shows memory estimate per model in picker (36 ms)
1600:  ✓ shows vision indicator for vision models in picker (33 ms)
1601:  model selection from picker
1602:  ✓ marks text model active without loading or checking memory (46 ms)
1603:  ✓ marks image model active without loading or checking memory (89 ms)
1604:  ✓ does not show a memory dialog when selecting a text model (132 ms)
1605:  ✓ closes the picker after selecting a text model (58 ms)
1606:  model unloading from picker
1607:  ✓ unloads text model when unload button pressed in picker (93 ms)
1608:  ✓ unloads image model when unload button pressed in picker (58 ms)
1609:  ✓ shows error alert when text model unload fails (44 ms)
1610:  ✓ shows error alert when image model unload fails (45 ms)
1611:  model load error handling
1612:  ✓ shows error when eject all fails (420 ms)
1613:  delete conversation
...

1620:  ✓ shows RAM estimates in both pickers when both models loaded (93 ms)
1621:  ✓ renders without crashing when both models loaded (16 ms)
1622:  delete conversation full flow
1623:  ✓ renders delete button in swipeable right actions (29 ms)
1624:  ✓ shows delete confirmation and deletes conversation (43 ms)
1625:  ✓ cancels delete conversation (59 ms)
1626:  gallery navigation
1627:  ✓ navigates to Gallery when gallery card is pressed (33 ms)
1628:  empty picker browse navigation
1629:  ✓ navigates to ModelsTab from empty text picker Browse Models button (69 ms)
1630:  ✓ navigates to ModelsTab from empty image picker Browse Models button (57 ms)
1631:  formatDate coverage
1632:  ✓ shows "Yesterday" for conversations updated yesterday (20 ms)
1633:  ✓ shows weekday name for conversations updated 2-6 days ago (30 ms)
1634:  ✓ shows month and day for conversations updated more than 7 days ago (22 ms)
1635:  memory info error handling
1636:  ✓ handles getResourceUsage failure gracefully (74 ms)
1637:  ✓ refreshes memory info when subscribe callback fires (27 ms)
...

2167:  ✓ should parse multiple SSE events (2 ms)
2168:  ✓ should handle multi-line data (2 ms)
2169:  ✓ should handle events without explicit event type (1 ms)
2170:  ✓ should throw when body is not readable (28 ms)
2171:  ✓ should handle events with id field (2 ms)
2172:  ✓ should handle data as object type (1 ms)
2173:  ✓ should handle chunked data correctly (4 ms)
2174:  ✓ should handle event with id field (1 ms)
2175:  ✓ should throw when response body is not readable
2176:  ✓ should handle events with only data field (1 ms)
2177:  ✓ should skip events without data
2178:  ✓ should yield remaining event at end of stream
2179:  parseOpenAIMessage
2180:  ✓ should parse content delta (1 ms)
2181:  ✓ should parse [DONE] marker (1 ms)
2182:  ✓ should parse error messages
2183:  ✓ should parse tool calls
...

2189:  ✓ should return null for empty data
2190:  isPrivateNetworkEndpoint
2191:  ✓ should detect localhost as private (1 ms)
2192:  ✓ should detect 192.168.x.x as private (1 ms)
2193:  ✓ should detect 10.x.x.x as private (1 ms)
2194:  ✓ should detect 172.16-31.x.x as private
2195:  ✓ should NOT detect 172.15.x.x as private
2196:  ✓ should NOT detect 172.32.x.x as private
2197:  ✓ should detect link-local 169.254.x.x as private
2198:  ✓ should detect .local (mDNS) as private
2199:  ✓ should detect public internet as NOT private
2200:  ✓ should handle invalid URLs (2 ms)
2201:  fetchWithTimeout
2202:  ✓ should resolve with JSON response (1 ms)
2203:  ✓ should resolve with text response for non-JSON
2204:  ✓ should throw on HTTP error (17 ms)
2205:  ✓ should timeout after specified duration (2 ms)
2206:  ✓ should retry on transient errors (2 ms)
2207:  ✓ should throw "Request cancelled" on AbortError (1 ms)
2208:  ✓ should fallback to text when content-type header is missing
2209:  ✓ should fallback to "Unknown error" when response.text() fails
2210:  ✓ should handle non-Error thrown values
2211:  testEndpoint
2212:  ✓ should return success for reachable endpoint (1 ms)
2213:  ✓ should return error for unreachable endpoint
2214:  ✓ should return error on HTTP error
2215:  ✓ should try alternate health endpoints when /v1/models fails
2216:  ✓ should strip trailing slashes from endpoint
2217:  imageToBase64DataUrl
2218:  ✓ should return data URL as-is if already encoded (1 ms)
2219:  ✓ should encode file:// URI to base64
2220:  ✓ should throw if file does not exist (4 ms)
2221:  ✓ should determine MIME type from extension (1 ms)
2222:  ✓ should default to jpeg for unknown extensions
2223:  ✓ should handle paths without file:// prefix
2224:  ✓ should fetch and encode remote URLs (2 ms)
2225:  ✓ should throw on fetch failure (1 ms)
2226:  ✓ should throw on FileReader error (2 ms)
2227:  detectServerType
2228:  ✓ should detect Ollama from server header
2229:  ✓ should detect Ollama from /api/tags endpoint (1 ms)
2230:  ✓ should detect LM Studio from model list
2231:  ✓ should detect generic OpenAI-compatible server
2232:  ✓ should return null when server type cannot be determined
2233:  ✓ should return null on network error
2234:  ✓ should strip trailing slashes from endpoint (1 ms)
2235:  ✓ should fallback to Ollama when OpenAI-compatible check fails
2236:  createStreamingRequest
2237:  ✓ should make POST request with correct headers (1 ms)
2238:  ✓ should parse SSE events on progress
2239:  ✓ should resolve on successful completion
2240:  ✓ should reject on HTTP error (3 ms)
2241:  ✓ should reject on network error (2 ms)
2242:  ✓ should reject on timeout (15 ms)
2243:  ✓ should handle events with event type (1 ms)
2244:  ✓ should handle events with id field
2245:  ✓ should handle multi-line data (1 ms)
2246:  ✓ should process final chunk on completion
2247:  ✓ should handle incremental progress updates (1 ms)
2248:  ✓ should handle events with id in final chunk (1 ms)
2249:  ✓ should handle multi-line data in final chunk
2250:  ✓ should handle events with event type in final chunk
2251:  ✓ should handle XHR timeout event (1 ms)
2252:  ✓ should handle XHR timeout via ontimeout (10 ms)
2253:  ✓ should reject on send error (4 ms)
2254:  ✓ should abort XHR when signal fires (3 ms)
2255:  ✓ should not process final data when responseText equals processed length (2 ms)
2256:  detectServerType — additional branches
2257:  ✓ returns null when JSON parse throws for /v1/models response
2258:  ✓ returns null when LM Studio response has no gguf models (2 ms)
2259:  ✓ handles generic OpenAI-compatible via Array.isArray(data.data) branch (1 ms)
2260:  parseAnthropicMessage — non-string data
2261:  ✓ returns null for non-string data
2262:  ✓ returns null for invalid JSON (1 ms)
2263:  createNDJSONStreamingRequest
2264:  ✓ resolves and calls onLine for each complete NDJSON line (1 ms)
2265:  ✓ flushes partial buffered line on readyState=4 (1 ms)
2266:  ✓ rejects on HTTP error status (2 ms)
2267:  ✓ rejects on network error (1 ms)
2268:  ✓ rejects on timeout
...

2270:  ✓ warns and skips invalid JSON lines
2271:  ✓ sets custom headers
2272:  ✓ processes onprogress chunks and merges partial lines (1 ms)
2273:  ✓ warns and skips invalid JSON in buffered final line (1 ms)
2274:  ✓ rejects when xhr.send throws (1 ms)
2275:  PASS __tests__/unit/services/parallelMmproj.test.ts
2276:  Parallel mmproj download
2277:  performBackgroundDownload
2278:  ✓ starts both main and mmproj downloads in parallel (1 ms)
2279:  ✓ persists mmProjDownloadId in metadata callback
2280:  ✓ sets mmProjCompleted=false and mainCompleted=false in context (1 ms)
2281:  ✓ skips mmproj download when mmproj already exists
2282:  ✓ only starts main download for non-vision models (2 ms)
2283:  ✓ returns immediately when both files already exist (2 ms)
2284:  ✓ re-downloads mmproj when an existing sidecar is only partially written (1 ms)
2285:  ✓ re-downloads mmproj when stat fails for an existing sidecar (1 ms)
2286:  ✓ reuses an existing failed entry by cancelling old downloads and retrying the store entry (1 ms)
2287:  combined progress
2288:  ✓ reports combined progress from both downloads (2 ms)
2289:  ✓ includes pre-existing mmproj size in progress when mmproj already downloaded
2290:  ✓ updates the native combined-progress notification when supported (1 ms)
2291:  ✓ swallows native combined-progress update failures (1 ms)
2292:  watchBackgroundDownload — completion gating
2293:  ✓ does not fire onComplete until both downloads finish (mmproj first) (1 ms)
2294:  ✓ does not fire onComplete until both downloads finish (main first) (1 ms)
2295:  ✓ fires onComplete immediately for non-vision model (no mmproj) (1 ms)
2296:  ✓ moves mmproj file on mmproj completion
2297:  ✓ clears metadata callback when both complete (3 ms)
2298:  ✓ ignores duplicate main completion events after the first one (1 ms)
2299:  ✓ drops vision when mmproj move fails and the target file is missing (18 ms)
2300:  watchBackgroundDownload — error handling
2301:  ✓ cancels mmproj when main download fails (1 ms)
2302:  ✓ preserves retry context and resets main finalization flags when main download fails
2303:  ✓ continues as text-only when mmproj download fails (1 ms)
2304:  watchBackgroundDownload — already-downloaded recovery
2305:  ✓ persists already-downloaded models before firing onComplete (1 ms)
2306:  ✓ still fires onComplete when persistence fails for already-downloaded models
2307:  ✓ surfaces an already-downloaded context error via onError (1 ms)
2308:  syncCompletedBackgroundDownloads
2309:  ✓ syncs completed model with mmproj download
2310:  ✓ skips sync when mmproj download is still running (1 ms)
2311:  ✓ cancels mmproj when main download failed
2312:  restoreInProgressDownloads — mmproj recovery
2313:  ✓ restores both main and mmproj progress listeners (1 ms)
2314:  ✓ handles mmproj completed while app was dead (1 ms)
2315:  ✓ marks mmproj as completed when it failed while app was dead
2316:  ✓ defers mmproj move to watchBackgroundDownload when file not yet on disk
2317:  ✓ does not create duplicate context for mmproj download ID (1 ms)
2318:  watchBackgroundDownload — catch-up paths
2319:  ✓ finalizes after mmproj was already completed before listener registration (8 ms)
2320:  ✓ continues without vision when catch-up mmproj move fails and target is missing (1 ms)
2321:  PASS __tests__/unit/services/generationToolLoop.test.ts (19.76 s)
2322:  runToolLoop
2323:  final response with no tool calls
2324:  ✓ returns final response when model produces no tool calls (6 ms)
2325:  ✓ calls onFirstToken callback when final response is produced
2326:  ✓ calls onFinalResponse with "_(No response)_" when fullResponse is empty and no tokens were streamed (1 ms)
2327:  ✓ does not add any messages to chat store when no tool calls
2328:  LiteRT image forwarding
2329:  ✓ forwards all image attachments from the last user message to LiteRT (35 ms)
2330:  ✓ forwards an audio attachment even when the turn has no text (1 ms)
2331:  tool execution loop
2332:  ✓ executes a tool call and re-injects the result (503 ms)
2333:  ✓ adds assistant and tool result messages to chat store (505 ms)
2334:  ✓ handles tool result with error (507 ms)
2335:  ✓ executes multiple tool calls in a single iteration (505 ms)
...

2355:  ✓ calls onToolCallComplete after executing each tool call (503 ms)
2356:  ✓ calls onToolCallStart and onToolCallComplete for multiple tool calls (507 ms)
2357:  ✓ does not throw when callbacks are undefined (501 ms)
2358:  ✓ calls onFirstToken only on final response, not during tool iterations (502 ms)
2359:  message construction
2360:  ✓ builds assistant message with serialized tool call arguments (502 ms)
2361:  ✓ uses empty string for assistant content when fullResponse is empty (503 ms)
2362:  ✓ passes conversationId to addMessage for both assistant and tool messages (502 ms)
2363:  ✓ tool result message uses tc.id for toolCallId when present (503 ms)
2364:  ✓ messages are appended to loopMessages for subsequent LLM calls (502 ms)
2365:  multi-iteration scenarios
2366:  ✓ handles two rounds of tool calls before final response (1008 ms)
2367:  remote provider path via forceRemote
2368:  ✓ throws "No remote provider active" when forceRemote=true and activeServerId is null (87 ms)
2369:  ✓ covers useRemote calculation — providerRegistry.hasProvider branch (1 ms)
2370:  non-retryable errors skip retry
2371:  ✓ fails immediately on "No model loaded" error without retry (1 ms)
2372:  ✓ fails immediately on "aborted" error without retry (1 ms)
2373:  parseToolCallsFromText
...

2387:  ✓ caps total tool calls across iterations at 5 (1008 ms)
2388:  runToolLoop – web search fallback query
2389:  ✓ uses last user message as query when web_search is called with empty args (504 ms)
2390:  runToolLoop – token streaming
2391:  ✓ passes onStream through to generateResponseWithTools (2 ms)
2392:  ✓ does not pass onStream when ctx.onStream is undefined (1 ms)
2393:  ✓ streams tokens to ctx.onStream and fires onThinkingDone + onFirstToken on first token (2 ms)
2394:  ✓ skips onFinalResponse when content was already streamed
2395:  ✓ calls onStreamReset and clears streaming message when tool calls follow streamed content (503 ms)
2396:  ✓ does not call onStreamReset when no content was streamed before tool calls (504 ms)
2397:  ✓ does not stream tokens when aborted (4 ms)
2398:  ✓ fires onFirstToken only once across multiple streaming tokens (1 ms)
2399:  runToolLoop – resolveToolCalls via embedded tool_call tags
2400:  ✓ parses and executes tool calls embedded in response text (504 ms)
2401:  ✓ returns response as-is when <tool_call> tags parse to no valid calls (2 ms)
2402:  runToolLoop – retry on transient errors
2403:  ✓ retries on transient error and succeeds (3 ms)
2404:  ✓ fails immediately on non-retryable error (No model loaded) (1 ms)
2405:  runToolLoop – web_search empty query fallback
2406:  ✓ uses empty string fallback when no user message exists (503 ms)
2407:  isAborted — abort at loop start
2408:  ✓ returns immediately without calling LLM when already aborted (1 ms)
2409:  ✓ aborts mid-loop when isAborted becomes true after first iteration (503 ms)
2410:  callRemoteLLMWithTools via forceRemote
2411:  ✓ resolves with fullResponse and empty toolCalls when onComplete fires without toolCalls (2 ms)
2412:  ✓ accumulates streaming tokens via onToken and fires onStream (1 ms)
2413:  ✓ rejects when onError callback fires (2 ms)
2414:  ✓ resolves toolCalls with string arguments parsed as JSON (3 ms)
...

2524:  ✓ "draw an elephant" should classify as image
2525:  ✓ "draw the sunset" should classify as image
2526:  ✓ "paint a landscape" should classify as image
2527:  ✓ "paint me a portrait" should classify as image
2528:  ✓ "paint an abstract piece" should classify as image
2529:  ✓ "sketch a building" should classify as image
2530:  ✓ "sketch me a character" should classify as image (1 ms)
2531:  ✓ "sketch the mountain" should classify as image
2532:  Text Intent Patterns
2533:  Questions and explanations
2534:  ✓ "explain how photosynthesis works" should classify as text
2535:  ✓ "tell me about the French Revolution" should classify as text
2536:  ✓ "describe the water cycle" should classify as text
2537:  ✓ "what is machine learning" should classify as text
2538:  ✓ "what are the benefits of exercise" should classify as text
2539:  ✓ "what does this error mean" should classify as text (1 ms)
2540:  ✓ "what's the capital of France" should classify as text
2541:  ✓ "whats happening in the code" should classify as text
2542:  How questions
2543:  ✓ "how do I install node.js" should classify as text
2544:  ✓ "how does electricity work" should classify as text
2545:  ✓ "how to make pasta" should classify as text
2546:  ✓ "how can I improve my writing" should classify as text
2547:  ✓ "how would you solve this problem" should classify as text
2548:  ✓ "how should I structure my code" should classify as text
2549:  Why questions
2550:  ✓ "why is the sky blue" should classify as text (1 ms)
2551:  ✓ "why does water boil" should classify as text
2552:  ✓ "why do birds migrate" should classify as text
2553:  ✓ "why are leaves green" should classify as text
2554:  ✓ "why would this fail" should classify as text
2555:  When/Where/Who/Which questions
...

2602:  ✓ "draft a script for a video" should classify as text (1 ms)
2603:  ✓ "write an article about technology" should classify as text (3 ms)
2604:  ✓ "compose a post for social media" should classify as text
2605:  ✓ "write a message to the team" should classify as text
2606:  ✓ "draft a response to this email" should classify as text
2607:  Programming and code
2608:  ✓ "write code to sort an array" should classify as text (1 ms)
2609:  ✓ "create a function to validate email" should classify as text
2610:  ✓ "write a script to automate backups" should classify as text
2611:  ✓ "create a program to parse CSV" should classify as text
2612:  ✓ "write a sql query to get users" should classify as text (1 ms)
2613:  ✓ "create a regex for phone numbers" should classify as text
2614:  ✓ "code a simple calculator" should classify as text
2615:  ✓ "coding challenge solution" should classify as text
2616:  ✓ "programming in python" should classify as text (1 ms)
2617:  ✓ "debug this error" should classify as text (1 ms)
2618:  ✓ "debugging the crash" should classify as text (1 ms)
2619:  ✓ "fix the code that throws an error" should classify as text
2620:  ✓ "debug this bug in my app" should classif...

@qodo-code-review

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Code Review by Qodo

🐞 Bugs (4) 📘 Rule violations (0) 📜 Skill insights (0)

Grey Divider


Action required

1. Persistent logs store transcripts 🐞 Bug ⛨ Security
Description
src/utils/logger.ts now writes all logs to an on-disk file in DocumentDirectory, and
whisperService logs transcription output previews, which can persist sensitive user content
unencrypted on-device. This increases privacy risk (device access/backup/exfil) and is hard to fully
“undo” once shipped because logs accumulate silently.
Code

src/utils/logger.ts[R29-45]

+function appendPersistentLog(level: 'log' | 'warn' | 'error', message: string): void {
+  const line = `[${new Date().toISOString()}] ${level.toUpperCase()}: ${message}\n`;
+  writeQueue = writeQueue.then(async () => {
+    try {
+      const path = getLogFilePath();
+      if (await RNFS.exists(path)) {
+        await RNFS.appendFile(path, line, 'utf8');
+      } else {
+        await RNFS.writeFile(path, line, 'utf8');
+      }
+      const stat = await RNFS.stat(path);
+      const size = typeof stat.size === 'string' ? Number.parseInt(stat.size, 10) : stat.size;
+      if (size > MAX_LOG_FILE_BYTES) {
+        const content = await RNFS.readFile(path, 'utf8');
+        const trimmed = content.split('\n').filter(Boolean).slice(-RETAINED_LOG_LINES).join('\n');
+        await RNFS.writeFile(path, trimmed ? `${trimmed}\n` : '', 'utf8');
+      }
Evidence
logger persists every message to a file under DocumentDirectory, and whisperService logs
transcript previews; together this causes user transcript content to be written to disk.

src/utils/logger.ts[12-45]
src/services/whisperService.ts[611-636]

Agent prompt
The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

### Issue description
The app now persists logs to an on-disk file for every `logger.log/warn/error` call. Some call sites log user-derived content (e.g., transcription result previews), so sensitive data can be written to disk without explicit user intent.

### Issue Context
- `logger` captures every log line and appends it to `${RNFS.DocumentDirectoryPath}/download-debug.log`.
- `whisperService.transcribeFile` logs a `preview="${result.slice(0, 100)}"`, which becomes part of the persisted log.

### Fix Focus Areas
- src/utils/logger.ts[4-60]
- src/services/whisperService.ts[553-636]

### What to change
1. Make persistent logging **opt-in** (e.g., a runtime flag in settings / dev-only flag / build-time `__DEV__` guard).
2. Default persistent logging path to a less sensitive location (e.g., `CachesDirectoryPath`) and/or ensure it is excluded from backup if you must keep it.
3. **Redact/avoid** logging transcript content:
  - remove the `preview=...` from `transcribeFile DONE`, or
  - only include it when an explicit debug flag is enabled.
4. Consider a “start/stop capture” mechanism so logs are only persisted when a user explicitly enables diagnostics.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools



Remediation recommended

2. Logging triggers heavy file IO 🐞 Bug ➹ Performance
Description
Each logger.* call enqueues RNFS exists/write/stat work (and sometimes read+rewrite on rotation),
and whisper native logs are piped into logger, creating high log volume during transcription. This
serialized IO can cause noticeable jank/battery drain in long or realtime transcription sessions.
Code

src/utils/logger.ts[R29-49]

+function appendPersistentLog(level: 'log' | 'warn' | 'error', message: string): void {
+  const line = `[${new Date().toISOString()}] ${level.toUpperCase()}: ${message}\n`;
+  writeQueue = writeQueue.then(async () => {
+    try {
+      const path = getLogFilePath();
+      if (await RNFS.exists(path)) {
+        await RNFS.appendFile(path, line, 'utf8');
+      } else {
+        await RNFS.writeFile(path, line, 'utf8');
+      }
+      const stat = await RNFS.stat(path);
+      const size = typeof stat.size === 'string' ? Number.parseInt(stat.size, 10) : stat.size;
+      if (size > MAX_LOG_FILE_BYTES) {
+        const content = await RNFS.readFile(path, 'utf8');
+        const trimmed = content.split('\n').filter(Boolean).slice(-RETAINED_LOG_LINES).join('\n');
+        await RNFS.writeFile(path, trimmed ? `${trimmed}\n` : '', 'utf8');
+      }
+    } catch {
+      // Logging must never break app execution.
+    }
+  });
Evidence
The logger performs multiple RNFS operations per log entry, and whisperService wires native
whisper.cpp logs into the same logger, raising call volume during transcription.

src/utils/logger.ts[29-49]
src/services/whisperService.ts[13-30]

Agent prompt
The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

### Issue description
The new logger implementation performs multiple filesystem operations per log line. When transcription is running, log volume can be high (progress logs, realtime events, native whisper.cpp logs), turning logging into a hot-path IO bottleneck.

### Issue Context
- `appendPersistentLog()` does `exists` + `appendFile/writeFile` + `stat` on every call.
- `wireNativeWhisperLog()` forwards native logs into `logger.log(...)`, potentially high-volume.

### Fix Focus Areas
- src/utils/logger.ts[29-49]
- src/services/whisperService.ts[8-30]

### What to change
1. Add an in-memory buffer (array of lines) and flush on an interval (e.g., every 250–1000ms) or when buffer exceeds N lines.
2. Avoid `RNFS.stat()` for every line; track approximate size in memory and stat/rotate periodically.
3. Consider disabling native whisper log forwarding by default, or only enable it while a debug flag is active.
4. Keep the in-memory debug store (already capped) but make disk persistence conditional.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


3. Pro autolink guard asymmetric 🐞 Bug ☼ Reliability
Description
react-native.config.js gates autolinking @offgrid/pro only on pro/android/build.gradle, even
though iOS autolinking depends on pro/ios/OffgridPro.podspec. If Android files are absent but iOS
files are present (partial checkout/platform-only setup/future layout changes), iOS autolinking will
be incorrectly disabled.
Code

react-native.config.js[R11-15]

+const proRoot = path.resolve(__dirname, 'pro');
+const proAndroidGradle = path.join(proRoot, 'android', 'build.gradle');
+const proPodspec = path.join(proRoot, 'ios', 'OffgridPro.podspec');
+const proHasNative = fs.existsSync(proAndroidGradle);
+
Evidence
The guard is based solely on the Android file even though the iOS autolink path is separately
specified, so iOS can be unintentionally disabled when only the iOS artifact is present.

react-native.config.js[11-34]

Agent prompt
The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

### Issue description
The autolink guard only checks for the Android Gradle file, but the config includes both Android and iOS native paths. This can incorrectly omit the dependency for iOS even when the iOS podspec exists.

### Issue Context
- `proHasNative` is computed from `pro/android/build.gradle` only.
- iOS platform config uses `pro/ios/OffgridPro.podspec`.

### Fix Focus Areas
- react-native.config.js[11-15]

### What to change
- Compute `proHasNative` as `existsSync(proAndroidGradle) || existsSync(proPodspec)`.
- (Optional) Make the guard per-platform (e.g., include android config only if android file exists; include ios config only if podspec exists) to be robust to future layout changes.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


4. Whisper servers still discovered 🐞 Bug ≡ Correctness
Description
The new whisper remote-server type skips provider registration, but bulk initialization still
calls discoverModels() for every server, and discovery always probes /v1/models and /api/tags.
This causes unnecessary network calls and warning logs for STT-only whisper endpoints.
Code

src/services/remoteServerManagerUtils.ts[R86-92]

export async function createProviderForServerImpl(server: RemoteServer): Promise<void> {
+  // Whisper servers don't expose an LLM API - they're used only for
+  // speech-to-text via the always-on recorder. Skip provider registration.
+  if (server.providerType === 'whisper') {
+    logger.log('[RemoteServerManager] skipping LLM provider for whisper server:', server.name);
+    return;
+  }
Evidence
Although whisper providers are skipped, the initialization path continues into model discovery and
the discovery helper always probes LLM endpoints, which a whisper STT server is not expected to
implement.

src/services/remoteServerManagerUtils.ts[86-196]
src/stores/remoteServerHelpers.ts[103-236]
src/types/remoteServer.ts[8-23]

Agent prompt
The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

### Issue description
`providerType: 'whisper'` is introduced as a non-LLM server type. Provider registration is skipped, but model discovery still runs and will hit LLM endpoints for whisper servers.

### Issue Context
- `createProviderForServerImpl()` returns early for `providerType === 'whisper'`.
- `initializeProvidersImpl()` still calls `store.discoverModels(server.id)` for *all* servers.
- `fetchModelsFromServer()` always probes OpenAI/Ollama model endpoints and does not special-case whisper servers.

### Fix Focus Areas
- src/services/remoteServerManagerUtils.ts[86-196]
- src/stores/remoteServerHelpers.ts[103-236]
- src/types/remoteServer.ts[8-23]

### What to change
1. In `initializeProvidersImpl`, skip `discoverModels` when `server.providerType === 'whisper'`.
2. Optionally add an early return in `fetchModelsFromServer(server)` for whisper servers (`return []`) to ensure any other call sites don’t probe LLM endpoints.
3. Consider suppressing LLM-health/model warnings for whisper servers to avoid log noise.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


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Qodo Logo

Comment thread src/utils/logger.ts
Comment on lines +29 to +45
function appendPersistentLog(level: 'log' | 'warn' | 'error', message: string): void {
const line = `[${new Date().toISOString()}] ${level.toUpperCase()}: ${message}\n`;
writeQueue = writeQueue.then(async () => {
try {
const path = getLogFilePath();
if (await RNFS.exists(path)) {
await RNFS.appendFile(path, line, 'utf8');
} else {
await RNFS.writeFile(path, line, 'utf8');
}
const stat = await RNFS.stat(path);
const size = typeof stat.size === 'string' ? Number.parseInt(stat.size, 10) : stat.size;
if (size > MAX_LOG_FILE_BYTES) {
const content = await RNFS.readFile(path, 'utf8');
const trimmed = content.split('\n').filter(Boolean).slice(-RETAINED_LOG_LINES).join('\n');
await RNFS.writeFile(path, trimmed ? `${trimmed}\n` : '', 'utf8');
}

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Action required

1. Persistent logs store transcripts 🐞 Bug ⛨ Security

src/utils/logger.ts now writes all logs to an on-disk file in DocumentDirectory, and
whisperService logs transcription output previews, which can persist sensitive user content
unencrypted on-device. This increases privacy risk (device access/backup/exfil) and is hard to fully
“undo” once shipped because logs accumulate silently.
Agent Prompt
### Issue description
The app now persists logs to an on-disk file for every `logger.log/warn/error` call. Some call sites log user-derived content (e.g., transcription result previews), so sensitive data can be written to disk without explicit user intent.

### Issue Context
- `logger` captures every log line and appends it to `${RNFS.DocumentDirectoryPath}/download-debug.log`.
- `whisperService.transcribeFile` logs a `preview="${result.slice(0, 100)}"`, which becomes part of the persisted log.

### Fix Focus Areas
- src/utils/logger.ts[4-60]
- src/services/whisperService.ts[553-636]

### What to change
1. Make persistent logging **opt-in** (e.g., a runtime flag in settings / dev-only flag / build-time `__DEV__` guard).
2. Default persistent logging path to a less sensitive location (e.g., `CachesDirectoryPath`) and/or ensure it is excluded from backup if you must keep it.
3. **Redact/avoid** logging transcript content:
   - remove the `preview=...` from `transcribeFile DONE`, or
   - only include it when an explicit debug flag is enabled.
4. Consider a “start/stop capture” mechanism so logs are only persisted when a user explicitly enables diagnostics.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

@coderabbitai coderabbitai Bot left a comment

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Actionable comments posted: 7

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (2)
patches/whisper.rn+0.5.5.patch (1)

51-60: 🩺 Stability & Availability | 🟠 Major | ⚡ Quick win

Avoid an unbounded join during context release.

release() can now block forever if either handler thread does not exit after stopCurrentTranscribe(), which can hang the JS/native release path. Use a bounded wait and avoid freeing context while a handler is still alive, or defer cleanup to the worker completion path.

Safer bounded-release sketch
-      if (rootFullHandler != null) rootFullHandler.join();
-      if (fullHandler != null) fullHandler.join();
+      if (rootFullHandler != null) rootFullHandler.join(5000);
+      if (fullHandler != null) fullHandler.join(5000);
+      if ((rootFullHandler != null && rootFullHandler.isAlive())
+          || (fullHandler != null && fullHandler.isAlive())) {
+        Log.w(NAME, "release: transcription thread still alive; not freeing context yet");
+        return;
+      }
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@patches/whisper.rn`+0.5.5.patch around lines 51 - 60, The release path in the
handler cleanup block currently uses unbounded Thread.join() on rootFullHandler
and fullHandler, which can hang context teardown if either worker never exits.
Update the release logic to use a bounded wait or another non-blocking
completion check in the release flow, and only free the native context after
both handler threads have definitely finished; refer to the release() cleanup
section and the rootFullHandler/fullHandler join handling when applying the fix.
src/services/whisperService.ts (1)

260-303: 🎯 Functional Correctness | 🟠 Major | ⚡ Quick win

Reload when acceleration options change.

Line 266 still returns for the same model path even if useGpu, useFlashAttn, or useCoreML changed, so toggles can silently keep the previous runtime configuration. Track the loaded option key and re-init when it differs.

Track runtime options with the loaded model
 class WhisperService {
   private context: WhisperContext | null = null;
   private currentModelPath: string | null = null;
+  private currentModelOptionsKey: string | null = null;
@@
-    if (this.context && this.currentModelPath !== modelPath) await this.unloadModel();
-    if (this.context && this.currentModelPath === modelPath) return;
@@
     let useCoreML = options?.useCoreML ?? false;
@@
+    const modelOptionsKey = JSON.stringify({
+      useGpu: options?.useGpu ?? false,
+      useFlashAttn: options?.useFlashAttn ?? false,
+      useCoreML,
+    });
+    if (this.context && (this.currentModelPath !== modelPath || this.currentModelOptionsKey !== modelOptionsKey)) {
+      await this.unloadModel();
+    }
+    if (this.context && this.currentModelPath === modelPath && this.currentModelOptionsKey === modelOptionsKey) return;
+
@@
       this.context = await initWhisper(initOpts as unknown as Parameters<typeof initWhisper>[0]);
       this.currentModelPath = modelPath;
+      this.currentModelOptionsKey = modelOptionsKey;
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/services/whisperService.ts` around lines 260 - 303, The loadModel method
currently returns early in whisperService even when the model path is unchanged
but useGpu, useFlashAttn, or useCoreML has changed, so runtime acceleration
toggles can stay stuck on the previous init options. Update loadModel to track
the currently loaded option set alongside currentModelPath, compare it against
the incoming options, and only reuse the existing context when both the model
path and the effective runtime options match; otherwise unload and re-init
before calling initWhisper.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@react-native.config.js`:
- Around line 14-34: The autolink guard in react-native.config.js currently uses
only pro/android/build.gradle to enable both Android and iOS entries, which can
still expose a missing podspecPath to CocoaPods. Update the module-level config
around proHasNative and module.exports so the iOS autolink under '`@offgrid/pro`'
is only included when the podspec exists, either by splitting the platform
guards or by extending the existing condition to check proPodspec before setting
the ios podspecPath.

In `@src/screens/HomeScreen/index.tsx`:
- Around line 137-144: Add explicit accessibility labels to the icon-only header
actions in HomeScreen’s headerRight so screen readers can identify them. Update
the TouchableOpacity controls that navigate to Settings and ProDetail to include
clear accessibilityLabel (and, if needed, accessibilityRole) values that
describe each action, using the existing navigation handlers and the headerRight
section to locate them.

In `@src/screens/MemoryTabScreen.tsx`:
- Around line 88-103: The paywall copy in MemoryTabScreen is making absolute
on-device/privacy claims that no longer hold with the remote whisper provider.
Update the text in the body and privacy row to describe local/default behavior
only, and keep the wording conditional on the selected transcription mode rather
than promising that audio and transcripts always stay on-device.

In `@src/screens/SettingsScreen.tsx`:
- Around line 40-43: SettingsScreen is using a tab-parent navigation reset path
even though it now mounts under RootStack, so the DEV onboarding reset never
runs because navigation.getParent() is undefined. Update the reset logic in
SettingsScreen to dispatch CommonActions.reset(...) directly on the navigation
object from the screen’s NavigationProp instead of targeting the parent
navigator.

In `@src/services/whisperService.ts`:
- Around line 611-615: The file-transcription stop handle in WhisperService is
being set and cleared without proving it still belongs to the active job, which
can lose cancellation for overlapping or failed starts. Update the transcription
flow around this.context.transcribe and the surrounding try/finally so each job
owns its own stop handle, and only clear fileTranscribeStop if it still matches
that job’s handle. Also guard the start path and any stop/cleanup path in
WhisperService to prevent an active native transcription from being left without
a usable cancel reference.
- Around line 553-557: The Whisper logging in transcribeFile and the later
result logging currently exposes sensitive data by writing local recording paths
and transcript previews to the persistent logger. Update the affected logger.log
calls in whisperService.ts to keep only non-sensitive metrics (for example
timing, model, language, thread counts) and remove filePath plus any transcript
slices unless they are explicitly gated behind a dev-only redaction flag. Use
the transcribeFile flow and the result preview logging near the later block to
locate both spots and apply the same redaction policy consistently.

In `@src/utils/logger.ts`:
- Around line 4-8: Persistent file logging in logger.capture() is currently
enabled for all builds, so app logs are being written to DocumentDirectoryPath
in release as well. Update appendPersistentLog() (and the call path from
capture(), using the logger.log/warn/error hooks) to only run when __DEV__ is
true or when an explicit debug opt-in is enabled. Keep the persistent log
behavior available for testing, but ensure production builds do not write the
on-device log file.

---

Outside diff comments:
In `@patches/whisper.rn`+0.5.5.patch:
- Around line 51-60: The release path in the handler cleanup block currently
uses unbounded Thread.join() on rootFullHandler and fullHandler, which can hang
context teardown if either worker never exits. Update the release logic to use a
bounded wait or another non-blocking completion check in the release flow, and
only free the native context after both handler threads have definitely
finished; refer to the release() cleanup section and the
rootFullHandler/fullHandler join handling when applying the fix.

In `@src/services/whisperService.ts`:
- Around line 260-303: The loadModel method currently returns early in
whisperService even when the model path is unchanged but useGpu, useFlashAttn,
or useCoreML has changed, so runtime acceleration toggles can stay stuck on the
previous init options. Update loadModel to track the currently loaded option set
alongside currentModelPath, compare it against the incoming options, and only
reuse the existing context when both the model path and the effective runtime
options match; otherwise unload and re-init before calling initWhisper.
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: 13a55df2-fc70-451a-93ce-7ccb5eea66db

📥 Commits

Reviewing files that changed from the base of the PR and between e65db82 and bf4ea87.

⛔ Files ignored due to path filters (1)
  • ios/Podfile.lock is excluded by !**/*.lock
📒 Files selected for processing (19)
  • __tests__/unit/stores/whisperStore.test.ts
  • __tests__/unit/utils/memorySnapshot.test.ts
  • ios/OffgridMobile/Info.plist
  • patches/whisper.rn+0.5.5.patch
  • pro
  • react-native.config.js
  • src/components/onboarding/spotlightConfig.tsx
  • src/navigation/AppNavigator.tsx
  • src/navigation/types.ts
  • src/screens/HomeScreen/index.tsx
  • src/screens/HomeScreen/styles.ts
  • src/screens/MemoryTabScreen.tsx
  • src/screens/SettingsScreen.tsx
  • src/services/remoteServerManagerUtils.ts
  • src/services/whisperService.ts
  • src/stores/whisperStore.ts
  • src/types/remoteServer.ts
  • src/utils/logger.ts
  • src/utils/memorySnapshot.ts

Comment thread react-native.config.js
Comment on lines +14 to +34
const proHasNative = fs.existsSync(proAndroidGradle);

module.exports = {
dependencies: {
...(proHasNative
? {
'@offgrid/pro': {
root: proRoot,
platforms: {
android: {
sourceDir: path.join(proRoot, 'android'),
packageImportPath: 'import ai.offgridmobile.alwayson.AlwaysOnTranscriptionPackage;',
packageInstance: 'new AlwaysOnTranscriptionPackage()',
},
ios: {
podspecPath: proPodspec,
},
},
},
}
: {}),

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🩺 Stability & Availability | 🟠 Major | ⚡ Quick win

Guard the iOS autolink with the podspec as well.

Line 14 uses pro/android/build.gradle to enable both platform entries, so a checkout with Android native files present but pro/ios/OffgridPro.podspec missing will still hand CocoaPods a dead podspecPath and break pod install. Split the guard per platform, or at least include the podspec in the condition.

Suggested fix
 const proRoot = path.resolve(__dirname, 'pro');
 const proAndroidGradle = path.join(proRoot, 'android', 'build.gradle');
 const proPodspec = path.join(proRoot, 'ios', 'OffgridPro.podspec');
-const proHasNative = fs.existsSync(proAndroidGradle);
+const proHasAndroidNative = fs.existsSync(proAndroidGradle);
+const proHasIosNative = fs.existsSync(proPodspec);

 module.exports = {
   dependencies: {
-    ...(proHasNative
+    ...(proHasAndroidNative || proHasIosNative
       ? {
           '`@offgrid/pro`': {
             root: proRoot,
             platforms: {
-              android: {
-                sourceDir: path.join(proRoot, 'android'),
-                packageImportPath: 'import ai.offgridmobile.alwayson.AlwaysOnTranscriptionPackage;',
-                packageInstance: 'new AlwaysOnTranscriptionPackage()',
-              },
-              ios: {
-                podspecPath: proPodspec,
-              },
+              ...(proHasAndroidNative
+                ? {
+                    android: {
+                      sourceDir: path.join(proRoot, 'android'),
+                      packageImportPath: 'import ai.offgridmobile.alwayson.AlwaysOnTranscriptionPackage;',
+                      packageInstance: 'new AlwaysOnTranscriptionPackage()',
+                    },
+                  }
+                : {}),
+              ...(proHasIosNative
+                ? {
+                    ios: {
+                      podspecPath: proPodspec,
+                    },
+                  }
+                : {}),
             },
           },
         }
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
const proHasNative = fs.existsSync(proAndroidGradle);
module.exports = {
dependencies: {
...(proHasNative
? {
'@offgrid/pro': {
root: proRoot,
platforms: {
android: {
sourceDir: path.join(proRoot, 'android'),
packageImportPath: 'import ai.offgridmobile.alwayson.AlwaysOnTranscriptionPackage;',
packageInstance: 'new AlwaysOnTranscriptionPackage()',
},
ios: {
podspecPath: proPodspec,
},
},
},
}
: {}),
const proRoot = path.resolve(__dirname, 'pro');
const proAndroidGradle = path.join(proRoot, 'android', 'build.gradle');
const proPodspec = path.join(proRoot, 'ios', 'OffgridPro.podspec');
const proHasAndroidNative = fs.existsSync(proAndroidGradle);
const proHasIosNative = fs.existsSync(proPodspec);
module.exports = {
dependencies: {
...(proHasAndroidNative || proHasIosNative
? {
'`@offgrid/pro`': {
root: proRoot,
platforms: {
...(proHasAndroidNative
? {
android: {
sourceDir: path.join(proRoot, 'android'),
packageImportPath: 'import ai.offgridmobile.alwayson.AlwaysOnTranscriptionPackage;',
packageInstance: 'new AlwaysOnTranscriptionPackage()',
},
}
: {}),
...(proHasIosNative
? {
ios: {
podspecPath: proPodspec,
},
}
: {}),
},
},
}
: {}),
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@react-native.config.js` around lines 14 - 34, The autolink guard in
react-native.config.js currently uses only pro/android/build.gradle to enable
both Android and iOS entries, which can still expose a missing podspecPath to
CocoaPods. Update the module-level config around proHasNative and module.exports
so the iOS autolink under '`@offgrid/pro`' is only included when the podspec
exists, either by splitting the platform guards or by extending the existing
condition to check proPodspec before setting the ios podspecPath.

Comment on lines +137 to +144
<View style={styles.headerRight}>
<TouchableOpacity onPress={() => navigation.navigate('Settings')} hitSlop={8} style={styles.iconButton}>
<Icon name="settings" size={18} color={colors.textSecondary} />
</TouchableOpacity>
<TouchableOpacity onPress={() => navigation.navigate('ProDetail')} hitSlop={8} style={styles.crownButton}>
<IconMC name="crown" size={16} color={colors.primary} />
</TouchableOpacity>
</View>

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🎯 Functional Correctness | 🟠 Major | ⚡ Quick win

Add accessibility labels to the new icon-only header actions.

These buttons are icon-only, so screen-reader users won’t get a reliable action name here without explicit labels.

Suggested fix
-              <TouchableOpacity onPress={() => navigation.navigate('Settings')} hitSlop={8} style={styles.iconButton}>
+              <TouchableOpacity
+                accessibilityRole="button"
+                accessibilityLabel="Open settings"
+                onPress={() => navigation.navigate('Settings')}
+                hitSlop={8}
+                style={styles.iconButton}
+              >
                 <Icon name="settings" size={18} color={colors.textSecondary} />
               </TouchableOpacity>
-              <TouchableOpacity onPress={() => navigation.navigate('ProDetail')} hitSlop={8} style={styles.crownButton}>
+              <TouchableOpacity
+                accessibilityRole="button"
+                accessibilityLabel="Open Pro details"
+                onPress={() => navigation.navigate('ProDetail')}
+                hitSlop={8}
+                style={styles.crownButton}
+              >
                 <IconMC name="crown" size={16} color={colors.primary} />
               </TouchableOpacity>
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
<View style={styles.headerRight}>
<TouchableOpacity onPress={() => navigation.navigate('Settings')} hitSlop={8} style={styles.iconButton}>
<Icon name="settings" size={18} color={colors.textSecondary} />
</TouchableOpacity>
<TouchableOpacity onPress={() => navigation.navigate('ProDetail')} hitSlop={8} style={styles.crownButton}>
<IconMC name="crown" size={16} color={colors.primary} />
</TouchableOpacity>
</View>
<View style={styles.headerRight}>
<TouchableOpacity
accessibilityRole="button"
accessibilityLabel="Open settings"
onPress={() => navigation.navigate('Settings')}
hitSlop={8}
style={styles.iconButton}
>
<Icon name="settings" size={18} color={colors.textSecondary} />
</TouchableOpacity>
<TouchableOpacity
accessibilityRole="button"
accessibilityLabel="Open Pro details"
onPress={() => navigation.navigate('ProDetail')}
hitSlop={8}
style={styles.crownButton}
>
<IconMC name="crown" size={16} color={colors.primary} />
</TouchableOpacity>
</View>
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/screens/HomeScreen/index.tsx` around lines 137 - 144, Add explicit
accessibility labels to the icon-only header actions in HomeScreen’s headerRight
so screen readers can identify them. Update the TouchableOpacity controls that
navigate to Settings and ProDetail to include clear accessibilityLabel (and, if
needed, accessibilityRole) values that describe each action, using the existing
navigation handlers and the headerRight section to locate them.

Comment on lines +88 to +103
<Text style={styles.body}>
Capture your meetings and conversations, then transcribe, summarise, and
search them - entirely on your phone.
</Text>

<View style={styles.features}>
{FEATURES.map((f) => (
<FeatureRow key={f.title} feature={f} styles={styles} colors={colors} />
))}
</View>

<View style={styles.privacyRow}>
<Icon name="lock" size={13} color={colors.textMuted} />
<Text style={styles.privacyText}>
The audio and transcript run in your phone and never leave the device.
</Text>

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🔒 Security & Privacy | 🟠 Major | ⚡ Quick win

Avoid absolute on-device/privacy claims in this paywall copy.

This PR also adds a remote whisper provider, so “entirely on your phone” / “never leave the device” stop being true once transcription is routed off-device. Please qualify this as local-mode/default behavior instead of an absolute promise.

Suggested copy tweak
-          Capture your meetings and conversations, then transcribe, summarise, and
-          search them - entirely on your phone.
+          Capture your meetings and conversations, then transcribe, summarise, and
+          search them with local-first processing on your phone.
...
-            The audio and transcript run in your phone and never leave the device.
+            With local processing enabled, your audio and transcript stay on-device.
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
<Text style={styles.body}>
Capture your meetings and conversations, then transcribe, summarise, and
search them - entirely on your phone.
</Text>
<View style={styles.features}>
{FEATURES.map((f) => (
<FeatureRow key={f.title} feature={f} styles={styles} colors={colors} />
))}
</View>
<View style={styles.privacyRow}>
<Icon name="lock" size={13} color={colors.textMuted} />
<Text style={styles.privacyText}>
The audio and transcript run in your phone and never leave the device.
</Text>
<Text style={styles.body}>
Capture your meetings and conversations, then transcribe, summarise, and
search them with local-first processing on your phone.
</Text>
<View style={styles.features}>
{FEATURES.map((f) => (
<FeatureRow key={f.title} feature={f} styles={styles} colors={colors} />
))}
</View>
<View style={styles.privacyRow}>
<Icon name="lock" size={13} color={colors.textMuted} />
<Text style={styles.privacyText}>
With local processing enabled, your audio and transcript stay on-device.
</Text>
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/screens/MemoryTabScreen.tsx` around lines 88 - 103, The paywall copy in
MemoryTabScreen is making absolute on-device/privacy claims that no longer hold
with the remote whisper provider. Update the text in the body and privacy row to
describe local/default behavior only, and keep the wording conditional on the
selected transcription mode rather than promising that audio and transcripts
always stay on-device.

Comment on lines 40 to 43
type NavigationProp = CompositeNavigationProp<
BottomTabNavigationProp<MainTabParamList, 'SettingsTab'>,
BottomTabNavigationProp<MainTabParamList>,
NativeStackNavigationProp<RootStackParamList>
>;

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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
set -euo pipefail

# Inspect the relevant files and the surrounding navigation setup.
git ls-files src/screens/SettingsScreen.tsx src/navigation/AppNavigator.tsx

printf '\n--- SettingsScreen outline ---\n'
ast-grep outline src/screens/SettingsScreen.tsx --view expanded || true

printf '\n--- AppNavigator outline ---\n'
ast-grep outline src/navigation/AppNavigator.tsx --view expanded || true

printf '\n--- SettingsScreen relevant lines ---\n'
cat -n src/screens/SettingsScreen.tsx | sed -n '1,220p'

printf '\n--- AppNavigator relevant lines ---\n'
cat -n src/navigation/AppNavigator.tsx | sed -n '1,260p'

Repository: off-grid-ai/mobile

Length of output: 23150


🏁 Script executed:

#!/bin/bash
set -euo pipefail

# Look for the reset/onboarding navigation usage and any SettingsTab references.
rg -n "handleResetOnboarding|getParent\(\)\?\.dispatch|SettingsTab|SettingsScreen" src -g '!**/*.map'

Repository: off-grid-ai/mobile

Length of output: 2439


Dispatch the onboarding reset on the root navigator.
SettingsScreen now mounts directly in RootStack, so navigation.getParent() is undefined here and the DEV reset does nothing. Call CommonActions.reset(...) on navigation instead.

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/screens/SettingsScreen.tsx` around lines 40 - 43, SettingsScreen is using
a tab-parent navigation reset path even though it now mounts under RootStack, so
the DEV onboarding reset never runs because navigation.getParent() is undefined.
Update the reset logic in SettingsScreen to dispatch CommonActions.reset(...)
directly on the navigation object from the screen’s NavigationProp instead of
targeting the parent navigator.

Comment on lines +553 to +557
logger.log(
`[Whisper] transcribeFile START path=${filePath} lang=${language} ` +
`maxThreads=${maxThreads} nProcessors=${nProcessors} ` +
`model=${loadedPath} gpu=${gpu}`,
);

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🔒 Security & Privacy | 🟠 Major | ⚡ Quick win

Don’t persist transcript content or local recording paths.

The logger is now persistent, so filePath and preview="${result.slice(0, 100)}" can write user speech or recording identifiers to disk. Keep these logs to metrics only, or gate redacted content behind an explicit dev-only flag.

Redact sensitive transcription logs
     logger.log(
-      `[Whisper] transcribeFile START path=${filePath} lang=${language} ` +
+      `[Whisper] transcribeFile START lang=${language} ` +
         `maxThreads=${maxThreads} nProcessors=${nProcessors} ` +
         `model=${loadedPath} gpu=${gpu}`,
@@
       logger.log(
         `[Whisper] transcribeFile DONE elapsed=${(totalMs / 1000).toFixed(1)}s ` +
-          `outputLen=${result.length} preview="${result.slice(0, 100)}"`,
+          `outputLen=${result.length}`,
       );

Also applies to: 633-636

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/services/whisperService.ts` around lines 553 - 557, The Whisper logging
in transcribeFile and the later result logging currently exposes sensitive data
by writing local recording paths and transcript previews to the persistent
logger. Update the affected logger.log calls in whisperService.ts to keep only
non-sensitive metrics (for example timing, model, language, thread counts) and
remove filePath plus any transcript slices unless they are explicitly gated
behind a dev-only redaction flag. Use the transcribeFile flow and the result
preview logging near the later block to locate both spots and apply the same
redaction policy consistently.

Comment on lines +611 to +615
const { stop, promise } = this.context.transcribe(
filePath,
transcribeOpts as Parameters<WhisperContext['transcribe']>[1],
);
this.fileTranscribeStop = stop;

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🩺 Stability & Availability | 🟠 Major | ⚡ Quick win

Protect the file-transcription stop handle lifecycle.

context.transcribe() runs before the try/finally, and fileTranscribeStop is cleared without checking which job owns it. A concurrent start, synchronous start failure, or stop failure can leave an active native job without a usable cancel handle.

Guard active jobs and clear only the matching handle
-    const { stop, promise } = this.context.transcribe(
-      filePath,
-      transcribeOpts as Parameters<WhisperContext['transcribe']>[1],
-    );
-    this.fileTranscribeStop = stop;
+    if (this.fileTranscribeStop) {
+      throw new Error('A file transcription is already running');
+    }
+    let stop: (() => void | Promise<void>) | null = null;
 
     try {
+      const started = this.context.transcribe(
+        filePath,
+        transcribeOpts as Parameters<WhisperContext['transcribe']>[1],
+      );
+      stop = started.stop;
+      this.fileTranscribeStop = stop;
-      const res = await promise;
+      const res = await started.promise;
@@
     } finally {
-      this.fileTranscribeStop = null;
+      if (this.fileTranscribeStop === stop) this.fileTranscribeStop = null;
     }
@@
-    const fn = this.fileTranscribeStop;
-    this.fileTranscribeStop = null;
+    const fn = this.fileTranscribeStop;
@@
-    try { await fn(); }
-    catch (e) { logger.warn(`[Whisper] stopFileTranscription threw: ${String(e)}`); }
+    try {
+      await fn();
+      if (this.fileTranscribeStop === fn) this.fileTranscribeStop = null;
+    } catch (e) {
+      logger.warn(`[Whisper] stopFileTranscription threw: ${String(e)}`);
+      throw e;
+    }

Also applies to: 642-661

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/services/whisperService.ts` around lines 611 - 615, The
file-transcription stop handle in WhisperService is being set and cleared
without proving it still belongs to the active job, which can lose cancellation
for overlapping or failed starts. Update the transcription flow around
this.context.transcribe and the surrounding try/finally so each job owns its own
stop handle, and only clear fileTranscribeStop if it still matches that job’s
handle. Also guard the start path and any stop/cleanup path in WhisperService to
prevent an active native transcription from being left without a usable cancel
reference.

Comment thread src/utils/logger.ts
Comment on lines +4 to +8
// Persistent on-disk log for export while testing. Rotated so a long session
// doesn't grow unbounded (~250 bytes/line -> 20 MB buys ~80k lines).
const LOG_FILE_NAME = 'download-debug.log';
const MAX_LOG_FILE_BYTES = 20 * 1024 * 1024;
const RETAINED_LOG_LINES = 50000;

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🔒 Security & Privacy | 🟠 Major | ⚡ Quick win

Guard persistent file logging in release builds.

capture() now writes every logger.log/warn/error call to DocumentDirectoryPath regardless of build type. The header says this is only for testing, but in production this still creates a durable on-device copy of whatever the app logs, which can include user/server data and may end up in device backups. Please gate appendPersistentLog() behind __DEV__ or an explicit debug opt-in.

Proposed fix
 function capture(level: 'log' | 'warn' | 'error', args: unknown[]): void {
   const message = args.map(formatArg).join(' ');
   try {
     useDebugLogsStore.getState().addLog({ timestamp: Date.now(), level, message });
   } catch {
     // Ignore store failures during logger bootstrap.
   }
-  appendPersistentLog(level, message);
+  if (__DEV__) {
+    appendPersistentLog(level, message);
+  }
 }

Also applies to: 52-73

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@src/utils/logger.ts` around lines 4 - 8, Persistent file logging in
logger.capture() is currently enabled for all builds, so app logs are being
written to DocumentDirectoryPath in release as well. Update
appendPersistentLog() (and the call path from capture(), using the
logger.log/warn/error hooks) to only run when __DEV__ is true or when an
explicit debug opt-in is enabled. Keep the persistent log behavior available for
testing, but ensure production builds do not write the on-device log file.

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