fix(tokenizer): preserve known-word highlight when POS filters suppress

- Known-word cache matches now set isKnown=true even for tokens excluded by POS filters
- POS exclusion gate suppresses N+1, frequency, and JLPT only; known status is computed before the gate
- Jellyfin subtitle preload continues after cleanup failures instead of aborting
- Update config docs and option description to document the known-word bypass behavior

config.example.jsonc

@@ -523,7 +523,7 @@
       "highlightEnabled": false, // Enable fast local highlighting for words already known in Anki. Values: true | false
       "refreshMinutes": 1440, // Minutes between known-word cache refreshes.
       "addMinedWordsImmediately": true, // Immediately append newly mined card words into the known-word cache. Values: true | false
-      "matchMode": "headword", // Known-word matching strategy for subtitle annotations. Values: headword | surface
+      "matchMode": "headword", // Known-word matching strategy for subtitle annotations. Cache matches always receive known-word highlighting even when POS filters suppress other annotation types. Values: headword | surface
       "decks": {} // Decks and fields for known-word cache. Object mapping deck names to arrays of field names to extract, e.g. { "Kaishi 1.5k": ["Word", "Word Reading"] }.
     }, // Known words setting.
     "behavior": {

docs-site/configuration.md

@@ -1045,6 +1045,7 @@ Known-word cache policy:
 - Cache state is persisted to `known-words-cache.json` under the app `userData` directory.
 - The cache is automatically invalidated when the configured scope changes (for example, when deck changes).
 - Cache lookups are in-memory. By default, token headwords are matched against cached `Expression` / `Word` values; set `ankiConnect.knownWords.matchMode` to `"surface"` for raw subtitle text matching.
+- A known-word cache match always receives known-word highlighting, even when part-of-speech filters suppress N+1, frequency, or JLPT annotations for that token.
 - Legacy moved keys under `ankiConnect.nPlusOne` (`highlightEnabled`, `refreshMinutes`, `matchMode`, `decks`, `knownWord`) and older `ankiConnect.behavior.nPlusOne*` keys are deprecated and only kept for backward compatibility.
 - Legacy top-level `ankiConnect` migration keys (for example `audioField`, `generateAudio`, `imageType`) are compatibility-only, validated before mapping, and ignored with a warning when invalid.
 - If AnkiConnect is unreachable, the cache remains in its previous state and an on-screen/system status message is shown.

docs-site/public/config.example.jsonc

@@ -523,7 +523,7 @@
       "highlightEnabled": false, // Enable fast local highlighting for words already known in Anki. Values: true | false
       "refreshMinutes": 1440, // Minutes between known-word cache refreshes.
       "addMinedWordsImmediately": true, // Immediately append newly mined card words into the known-word cache. Values: true | false
-      "matchMode": "headword", // Known-word matching strategy for subtitle annotations. Values: headword | surface
+      "matchMode": "headword", // Known-word matching strategy for subtitle annotations. Cache matches always receive known-word highlighting even when POS filters suppress other annotation types. Values: headword | surface
       "decks": {} // Decks and fields for known-word cache. Object mapping deck names to arrays of field names to extract, e.g. { "Kaishi 1.5k": ["Word", "Word Reading"] }.
     }, // Known words setting.
     "behavior": {

src/config/definitions/options-integrations.ts

@@ -265,7 +265,8 @@ export function buildIntegrationConfigOptionRegistry(
       kind: 'enum',
       enumValues: ['headword', 'surface'],
       defaultValue: defaultConfig.ankiConnect.knownWords.matchMode,
-      description: 'Known-word matching strategy for subtitle annotations.',
+      description:
+        'Known-word matching strategy for subtitle annotations. Cache matches always receive known-word highlighting even when POS filters suppress other annotation types.',
     },
     {
       path: 'ankiConnect.knownWords.highlightEnabled',

src/core/services/tokenizer.test.ts

@@ -129,7 +129,7 @@ test('tokenizeSubtitle splits same-line grammar endings before applying annotati
   assert.equal(result.tokens?.[0]?.jlptLevel, 'N5');
   assert.equal(result.tokens?.[0]?.frequencyRank, 40);
   assert.equal(result.tokens?.[1]?.surface, 'です');
-  assert.equal(result.tokens?.[1]?.isKnown, false);
+  assert.equal(result.tokens?.[1]?.isKnown, true);
   assert.equal(result.tokens?.[1]?.isNPlusOneTarget, false);
   assert.equal(result.tokens?.[1]?.frequencyRank, undefined);
   assert.equal(result.tokens?.[1]?.jlptLevel, undefined);
@@ -3365,7 +3365,7 @@ test('tokenizeSubtitle excludes default non-independent pos2 from N+1 and freque
   assert.equal(result.tokens?.[0]?.isNPlusOneTarget, false);
 });
 
-test('tokenizeSubtitle clears known-word highlight for exact non-independent kanji noun tokens', async () => {
+test('tokenizeSubtitle keeps known-word highlight for exact non-independent kanji noun tokens', async () => {
   const result = await tokenizeSubtitle(
     'その点',
     makeDepsFromYomitanTokens(
@@ -3413,7 +3413,7 @@ test('tokenizeSubtitle clears known-word highlight for exact non-independent kan
   assert.equal(result.tokens?.length, 2);
   assert.equal(result.tokens?.[0]?.isKnown, false);
   assert.equal(result.tokens?.[1]?.surface, '点');
-  assert.equal(result.tokens?.[1]?.isKnown, false);
+  assert.equal(result.tokens?.[1]?.isKnown, true);
   assert.equal(result.tokens?.[1]?.isNPlusOneTarget, false);
   assert.equal(result.tokens?.[1]?.frequencyRank, undefined);
   assert.equal(result.tokens?.[1]?.jlptLevel, undefined);
@@ -4028,7 +4028,7 @@ test('tokenizeSubtitle clears all annotations for kana-only demonstrative helper
       {
         surface: 'これで',
         headword: 'これ',
-        isKnown: false,
+        isKnown: true,
         isNPlusOneTarget: false,
         frequencyRank: undefined,
         jlptLevel: undefined,
@@ -4143,7 +4143,7 @@ test('tokenizeSubtitle clears all annotations for explanatory pondering endings'
       {
         surface: 'のかな',
         headword: 'の',
-        isKnown: false,
+        isKnown: true,
         isNPlusOneTarget: false,
         frequencyRank: undefined,
         jlptLevel: undefined,
@@ -4672,7 +4672,7 @@ test('tokenizeSubtitle clears annotations for ja-nai explanatory endings and aru
     {
       surface: 'ある',
       headword: 'ある',
-      isKnown: false,
+      isKnown: true,
       isNPlusOneTarget: false,
       frequencyRank: undefined,
       jlptLevel: undefined,
@@ -4717,7 +4717,7 @@ test('tokenizeSubtitle clears annotations for standalone polite copula endings w
     {
       surface: 'ですよ',
       headword: 'です',
-      isKnown: false,
+      isKnown: true,
       isNPlusOneTarget: false,
       frequencyRank: undefined,
       jlptLevel: undefined,
@@ -5044,7 +5044,7 @@ test('tokenizeSubtitle clears annotations for auxiliary inflection fragments whi
     {
       surface: 'れた',
       headword: 'れる',
-      isKnown: false,
+      isKnown: true,
       isNPlusOneTarget: false,
       frequencyRank: undefined,
       jlptLevel: undefined,
@@ -5181,7 +5181,7 @@ test('tokenizeSubtitle clears annotations for te-kureru auxiliary helper spans',
     {
       surface: 'てく',
       headword: 'てく',
-      isKnown: false,
+      isKnown: true,
       isNPlusOneTarget: false,
       frequencyRank: undefined,
       jlptLevel: undefined,
@@ -5192,7 +5192,7 @@ test('tokenizeSubtitle clears annotations for te-kureru auxiliary helper spans',
     {
       surface: 'れた',
       headword: 'れる',
-      isKnown: false,
+      isKnown: true,
       isNPlusOneTarget: false,
       frequencyRank: undefined,
       jlptLevel: undefined,

src/core/services/tokenizer/annotation-stage.test.ts

@@ -425,6 +425,21 @@ test('shouldExcludeTokenFromSubtitleAnnotations keeps lexical tokens outside exp
   assert.equal(shouldExcludeTokenFromSubtitleAnnotations(token), false);
 });
 
+test('shouldExcludeTokenFromSubtitleAnnotations still excludes lexical non-independent kanji nouns from non-known annotations', () => {
+  const token = makeToken({
+    surface: '以外',
+    headword: '以外',
+    reading: 'イガイ',
+    partOfSpeech: PartOfSpeech.noun,
+    pos1: '名詞',
+    pos2: '非自立',
+    pos3: '副詞可能',
+  });
+
+  assert.equal(shouldExcludeTokenFromSubtitleAnnotations(token), true);
+  assert.equal(shouldExcludeTokenFromVocabularyPersistence(token), true);
+});
+
 test('shouldExcludeTokenFromSubtitleAnnotations excludes standalone particles auxiliaries and adnominals', () => {
   const tokens = [
     makeToken({
@@ -971,8 +986,8 @@ test('annotateTokens N+1 minimum sentence words counts only eligible word tokens
   );
 
   assert.equal(result[0]?.isKnown, false);
-  assert.equal(result[1]?.isKnown, false);
-  assert.equal(result[2]?.isKnown, false);
+  assert.equal(result[1]?.isKnown, true);
+  assert.equal(result[2]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
 });
 
@@ -1186,7 +1201,7 @@ test('annotateTokens excludes default non-independent pos2 from frequency and N+
   assert.equal(result[0]?.isNPlusOneTarget, false);
 });
 
-test('annotateTokens clears known-word status for non-independent kanji noun tokens', () => {
+test('annotateTokens keeps known-word status for non-independent kanji noun tokens', () => {
   const tokens = [
     makeToken({
       surface: '点',
@@ -1211,12 +1226,41 @@ test('annotateTokens clears known-word status for non-independent kanji noun tok
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
+test('annotateTokens keeps known-word status for lexical non-independent kanji nouns', () => {
+  const tokens = [
+    makeToken({
+      surface: '以外',
+      reading: 'イガイ',
+      headword: '以外',
+      partOfSpeech: PartOfSpeech.noun,
+      pos1: '名詞',
+      pos2: '非自立',
+      pos3: '副詞可能',
+      startPos: 2,
+      endPos: 4,
+      frequencyRank: 437,
+    }),
+  ];
+
+  const result = annotateTokens(
+    tokens,
+    makeDeps({
+      isKnownWord: (text) => text === '以外',
+    }),
+    { minSentenceWordsForNPlusOne: 1 },
+  );
+
+  assert.equal(result[0]?.isKnown, true);
+  assert.equal(result[0]?.frequencyRank, undefined);
+  assert.equal(result[0]?.isNPlusOneTarget, false);
+});
+
 test('annotateTokens clears all annotations for non-independent kanji noun tokens under unified gate', () => {
   const tokens = [
     makeToken({
@@ -1401,7 +1445,7 @@ test('annotateTokens excludes composite tokens when all component pos tags are e
   assert.equal(result[0]?.isNPlusOneTarget, false);
 });
 
-test('annotateTokens applies one shared exclusion gate across known N+1 frequency and JLPT', () => {
+test('annotateTokens lets known words bypass the shared exclusion gate for known status only', () => {
   const tokens = [
     makeToken({
       surface: 'これで',
@@ -1425,13 +1469,13 @@ test('annotateTokens applies one shared exclusion gate across known N+1 frequenc
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for kana-only non-independent noun helper merges', () => {
+test('annotateTokens keeps known status while clearing other annotations for kana-only non-independent noun helper merges', () => {
   const tokens = [
     makeToken({
       surface: 'ことに',
@@ -1455,13 +1499,13 @@ test('annotateTokens clears known status and other annotations for kana-only non
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for standalone auxiliary inflection fragments', () => {
+test('annotateTokens keeps known status while clearing other annotations for standalone auxiliary inflection fragments', () => {
   const tokens = [
     makeToken({
       surface: 'れる',
@@ -1497,14 +1541,14 @@ test('annotateTokens clears known status and other annotations for standalone au
   );
 
   for (const token of result) {
-    assert.equal(token.isKnown, false, token.surface);
+    assert.equal(token.isKnown, true, token.surface);
     assert.equal(token.isNPlusOneTarget, false, token.surface);
     assert.equal(token.frequencyRank, undefined, token.surface);
     assert.equal(token.jlptLevel, undefined, token.surface);
   }
 });
 
-test('annotateTokens clears known status and other annotations for auxiliary-only te-kureru helper spans', () => {
+test('annotateTokens keeps known status while clearing other annotations for auxiliary-only te-kureru helper spans', () => {
   const tokens = [
     makeToken({
       surface: 'てく',
@@ -1540,7 +1584,7 @@ test('annotateTokens clears known status and other annotations for auxiliary-onl
   );
 
   for (const token of result) {
-    assert.equal(token.isKnown, false, token.surface);
+    assert.equal(token.isKnown, true, token.surface);
     assert.equal(token.isNPlusOneTarget, false, token.surface);
     assert.equal(token.frequencyRank, undefined, token.surface);
     assert.equal(token.jlptLevel, undefined, token.surface);
@@ -1576,7 +1620,7 @@ test('annotateTokens keeps lexical くれる forms eligible for annotation', ()
   assert.equal(result[0]?.jlptLevel, 'N4');
 });
 
-test('annotateTokens clears known status and other annotations for standalone して helper fragments', () => {
+test('annotateTokens keeps known status while clearing other annotations for standalone して helper fragments', () => {
   const tokens = [
     makeToken({
       surface: 'してる',
@@ -1600,13 +1644,13 @@ test('annotateTokens clears known status and other annotations for standalone
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for standalone particle fragments without POS tags', () => {
+test('annotateTokens keeps known status while clearing other annotations for standalone particle fragments without POS tags', () => {
   const tokens = [
     makeToken({
       surface: 'と',
@@ -1630,13 +1674,13 @@ test('annotateTokens clears known status and other annotations for standalone pa
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status from standalone particles even when the known-word cache contains them', () => {
+test('annotateTokens keeps known status on standalone particles when the known-word cache contains them', () => {
   const tokens = [
     makeToken({
       surface: 'に',
@@ -1671,7 +1715,7 @@ test('annotateTokens clears known status from standalone particles even when the
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
@@ -1728,7 +1772,7 @@ test('annotateTokens does not mark standalone connective particles as N+1', () =
   assert.equal(result[1]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for rhetorical もんか grammar particle phrases', () => {
+test('annotateTokens keeps known status while clearing other annotations for rhetorical もんか grammar particle phrases', () => {
   const tokens = [
     makeToken({
       surface: 'もんか',
@@ -1752,13 +1796,13 @@ test('annotateTokens clears known status and other annotations for rhetorical
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for bare くれ auxiliary fragments', () => {
+test('annotateTokens keeps known status while clearing other annotations for bare くれ auxiliary fragments', () => {
   const tokens = [
     makeToken({
       surface: 'くれ',
@@ -1782,13 +1826,13 @@ test('annotateTokens clears known status and other annotations for bare くれ a
     { minSentenceWordsForNPlusOne: 1 },
   );
 
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for aru existence verbs', () => {
+test('annotateTokens keeps known status while clearing other annotations for aru existence verbs', () => {
   const tokens = [
     makeToken({
       surface: '有る',
@@ -1818,14 +1862,14 @@ test('annotateTokens clears known status and other annotations for aru existence
 
   assert.equal(result[0]?.surface, '有る');
   assert.equal(result[0]?.headword, '有る');
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.isNameMatch, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears known status and other annotations for standalone quote particle and auxiliary grammar terms', () => {
+test('annotateTokens keeps known status while clearing other annotations for standalone quote particle and auxiliary grammar terms', () => {
   const tokens = [
     makeToken({
       surface: 'って',
@@ -1861,14 +1905,14 @@ test('annotateTokens clears known status and other annotations for standalone qu
   );
 
   for (const token of result) {
-    assert.equal(token.isKnown, false, token.surface);
+    assert.equal(token.isKnown, true, token.surface);
     assert.equal(token.isNPlusOneTarget, false, token.surface);
     assert.equal(token.frequencyRank, undefined, token.surface);
     assert.equal(token.jlptLevel, undefined, token.surface);
   }
 });
 
-test('annotateTokens clears known status and other annotations from standalone あ interjections without POS tags', () => {
+test('annotateTokens keeps known status while clearing other annotations from standalone あ interjections without POS tags', () => {
   const tokens = [
     makeToken({
       surface: 'あ',
@@ -1898,13 +1942,13 @@ test('annotateTokens clears known status and other annotations from standalone
   assert.equal(result[0]?.surface, 'あ');
   assert.equal(result[0]?.headword, 'あ');
   assert.equal(result[0]?.reading, 'あ');
-  assert.equal(result[0]?.isKnown, false);
+  assert.equal(result[0]?.isKnown, true);
   assert.equal(result[0]?.isNPlusOneTarget, false);
   assert.equal(result[0]?.frequencyRank, undefined);
   assert.equal(result[0]?.jlptLevel, undefined);
 });
 
-test('annotateTokens clears all annotations from expressive subtitle interjections without POS tags', () => {
+test('annotateTokens keeps known status while clearing other annotations from expressive subtitle interjections without POS tags', () => {
   const tokens = [
     makeToken({
       surface: 'ハァ',
@@ -1960,7 +2004,7 @@ test('annotateTokens clears all annotations from expressive subtitle interjectio
   );
 
   for (const token of result.slice(0, 2)) {
-    assert.equal(token.isKnown, false, token.surface);
+    assert.equal(token.isKnown, true, token.surface);
     assert.equal(token.isNPlusOneTarget, false, token.surface);
     assert.equal(token.frequencyRank, undefined, token.surface);
     assert.equal(token.jlptLevel, undefined, token.surface);

src/core/services/tokenizer/annotation-stage.ts

@@ -680,6 +680,11 @@ export function annotateTokens(
 
   // Single pass: compute known word status, frequency filtering, and JLPT level together
   const annotated = tokens.map((token, index) => {
+    const isKnownForMatching = shouldComputeKnownStatus
+      ? computeTokenKnownStatus(token, deps.isKnownWord, deps.knownWordMatchMode)
+      : false;
+    nPlusOneKnownStatuses[index] = isKnownForMatching;
+
     if (
       sharedShouldExcludeTokenFromSubtitleAnnotations(token, {
         pos1Exclusions,
@@ -690,18 +695,13 @@ export function annotateTokens(
         pos1Exclusions,
         pos2Exclusions,
       });
-      nPlusOneKnownStatuses[index] = false;
       return {
         ...strippedToken,
-        isKnown: false,
+        isKnown: knownWordsEnabled ? isKnownForMatching : false,
       };
     }
 
     const prioritizedNameMatch = nameMatchEnabled && token.isNameMatch === true;
-    const isKnownForMatching = shouldComputeKnownStatus
-      ? computeTokenKnownStatus(token, deps.isKnownWord, deps.knownWordMatchMode)
-      : false;
-    nPlusOneKnownStatuses[index] = isKnownForMatching;
 
     const frequencyRank =
       frequencyEnabled && !prioritizedNameMatch

src/main/runtime/jellyfin-subtitle-preload.test.ts

@@ -331,7 +331,8 @@ test('preload jellyfin subtitles cleans previous cached subtitles before a new p
   assert.deepEqual(cleanupCalls, [['/tmp/subminer-jellyfin-subtitles-0']]);
 });
 
-test('preload jellyfin subtitles logs cleanup failures without rejecting', async () => {
+test('preload jellyfin subtitles continues after cleanup failures', async () => {
+  const commands: Array<Array<string | number>> = [];
   const logs: string[] = [];
   let cleanupShouldFail = false;
   const preload = createPreloadJellyfinExternalSubtitlesHandler(
@@ -344,6 +345,7 @@ test('preload jellyfin subtitles logs cleanup failures without rejecting', async
         path: `/tmp/subminer-jellyfin-subtitles-${track.index}/track.srt`,
         cleanupDir: `/tmp/subminer-jellyfin-subtitles-${track.index}`,
       }),
+      sendMpvCommand: (command) => commands.push(command),
       cleanupCachedSubtitles: () => {
         if (cleanupShouldFail) {
           throw new Error('cleanup failed');
@@ -357,7 +359,14 @@ test('preload jellyfin subtitles logs cleanup failures without rejecting', async
   cleanupShouldFail = true;
   await assert.doesNotReject(() => preload({ session, clientInfo, itemId: 'item-2' }));
 
-  assert.deepEqual(logs, ['Failed to preload Jellyfin external subtitles']);
+  assert.deepEqual(logs, ['Failed to cleanup Jellyfin cached subtitles']);
+  assert.deepEqual(
+    commands.filter((command) => command[0] === 'sub-add'),
+    [
+      ['sub-add', '/tmp/subminer-jellyfin-subtitles-0/track.srt', 'auto', 'English', 'eng'],
+      ['sub-add', '/tmp/subminer-jellyfin-subtitles-0/track.srt', 'auto', 'English', 'eng'],
+    ],
+  );
 });
 
 test('preload jellyfin subtitles serializes overlapping preload runs', async () => {

src/main/runtime/jellyfin-subtitle-preload.ts

@@ -246,7 +246,11 @@ export function createPreloadJellyfinExternalSubtitlesHandler(deps: {
     itemId: string;
   }): Promise<void> => {
     try {
-      cleanupActiveCache();
+      try {
+        cleanupActiveCache();
+      } catch (error) {
+        deps.logDebug('Failed to cleanup Jellyfin cached subtitles', error);
+      }
       const tracks = await deps.listJellyfinSubtitleTracks(
         params.session,
         params.clientInfo,