fix(calls): make ML denoise build-honest + gate desktop trigger on CI

Audit/repair of the multi-model denoise work so it actually builds and only
exposes working, self-hosted models.

- Complete the DTLN/DFN3 revert: uninstall @workadventure/noise-suppression
  and deepfilternet3-noise-filter (package.json + lockfile), drop the unused
  DTLN asset-copy block from vite.config.js (was shipping ~2MB of unused
  tflite/wasm), and narrow DenoiseModelId to the bundled models (rnnoise,
  speex). Coerce any retired persisted model value back to the default.
- Fix General.tsx CI typecheck failures introduced by the denoise UI: restore
  three imports the rewrite deleted (useDateFormatItems, SequenceCardStyle,
  useTauriUpdater), add the missing denoise/sound imports, and correct
  hallucinated Folds props (Text has no variant/bold; Box uses
  alignItems/justifyContent). tsc now passes with 0 errors.
- Harden the vite denoise plugin: required RNNoise/Speex/gate assets and the
  shim now fail the build loudly if missing (instead of a silent warn that
  shipped a broken ML feature), and the index.html shim injection is verified.
- CI: move the cinny-desktop submodule bump into ci.yml as a `trigger-desktop`
  job gated on `needs: build`, and delete the standalone trigger-desktop.yml.
  A failing push no longer kicks off the slow Tauri builds in parallel.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

src/app/features/settings/general/General.tsx

@@ -45,6 +45,7 @@ import {
   ChatBackground,
   ComposerToolbarSettings,
   DateFormat,
+  DenoiseModelId,
   MessageLayout,
   MessageSpacing,
   NoiseSuppressionMode,
@@ -70,6 +71,10 @@ import { BG_OPTIONS, getChatBg } from '../../lotus/chatBackground';
 import { resetBootSequence, runLotusBootSequence } from '../../../../lotus-boot';
 import { useMessageLayoutItems } from '../../../hooks/useMessageLayout';
 import { useMessageSpacingItems } from '../../../hooks/useMessageSpacing';
+import { SequenceCardStyle } from '../styles.css';
+import { useTauriUpdater } from '../../../hooks/useTauriUpdater';
+import { useDateFormatItems } from '../../../hooks/useDateFormat';
+import { playCallJoinSound } from '../../../utils/callSounds';
 
 type ThemeSelectorProps = {
   themeNames: Record<string, string>;
@@ -1247,7 +1252,7 @@ function MicMeter() {
 
   return (
     <Box direction="Column" gap="100" style={{ padding: '8px 0' }}>
-      <Box direction="Row" gap="200" align="Center">
+      <Box direction="Row" gap="200" alignItems="Center">
         <Button size="300" variant="Secondary" outlined onClick={active ? stop : start}>
           <Text size="T300">{active ? 'Stop Test' : 'Test Microphone'}</Text>
         </Button>
@@ -1276,7 +1281,7 @@ function MicMeter() {
           />
         </Box>
       </Box>
-      <Text size="S300" variant="Secondary">
+      <Text size="T200" priority="300">
         The green bar shows your live volume. Use this to tune the Gate Threshold.
       </Text>
     </Box>
@@ -1336,8 +1341,8 @@ function Calls() {
           description={
             <Box direction="Column" gap="200">
               <Text>
-                Filter background noise from your mic during calls. Browser-native uses the
-                built-in WebRTC suppressor (Google NSNet2).
+                Filter background noise from your mic during calls. Browser-native uses the built-in
+                WebRTC suppressor (Google NSNet2).
               </Text>
 
               <Box direction="Column" gap="100" style={{ overflowX: 'auto' }}>
@@ -1347,39 +1352,31 @@ function Calls() {
                   style={{ borderBottom: '1px solid var(--lt-border-color)', paddingBottom: '4px' }}
                 >
                   <Box style={{ width: '120px' }}>
-                    <Text size="S300" bold>
-                      Model
-                    </Text>
+                    <Text size="T200">Model</Text>
                   </Box>
                   <Box style={{ width: '80px' }}>
-                    <Text size="S300" bold>
-                      CPU
-                    </Text>
+                    <Text size="T200">CPU</Text>
                   </Box>
                   <Box style={{ width: '80px' }}>
-                    <Text size="S300" bold>
-                      Quality
-                    </Text>
+                    <Text size="T200">Quality</Text>
                   </Box>
                   <Box grow="Yes">
-                    <Text size="S300" bold>
-                      Transients
-                    </Text>
+                    <Text size="T200">Transients</Text>
                   </Box>
                 </Box>
                 {DENOISE_MODELS.map((model) => (
                   <Box key={model.id} direction="Row" gap="100">
                     <Box style={{ width: '120px' }}>
-                      <Text size="S300">{model.name}</Text>
+                      <Text size="T200">{model.name}</Text>
                     </Box>
                     <Box style={{ width: '80px' }}>
-                      <Text size="S300">{model.cpuUsage}</Text>
+                      <Text size="T200">{model.cpuUsage}</Text>
                     </Box>
                     <Box style={{ width: '80px' }}>
-                      <Text size="S300">{model.voiceQuality}</Text>
+                      <Text size="T200">{model.voiceQuality}</Text>
                     </Box>
                     <Box grow="Yes">
-                      <Text size="S300">{model.transients}</Text>
+                      <Text size="T200">{model.transients}</Text>
                     </Box>
                   </Box>
                 ))}
@@ -1387,12 +1384,12 @@ function Calls() {
 
               {!mlSupported && (
                 <Box direction="Column" gap="100">
-                  <Text variant="Warning" size="S300">
+                  <Text size="T200" priority="400">
                     ML options are not supported in this browser.
                   </Text>
                   <Box as="ul" style={{ paddingLeft: '20px', margin: 0 }}>
                     {ML_DENOISE_REQUIREMENTS.map((req) => (
-                      <Text as="li" key={req} size="S300">
+                      <Text as="li" key={req} size="T200">
                         {req}
                       </Text>
                     ))}
@@ -1400,7 +1397,7 @@ function Calls() {
                 </Box>
               )}
               {callNoiseSuppression === 'ml' && (
-                <Text variant="Warning" size="S300">
+                <Text size="T200" priority="400">
                   Note: Applying changes requires rejoining the call.
                 </Text>
               )}
@@ -1471,11 +1468,9 @@ function Calls() {
 
             {callDenoiseGate && (
               <Box direction="Column" gap="100">
-                <Box direction="Row" justify="SpaceBetween">
-                  <Text size="S300">Gate Threshold</Text>
-                  <Text size="S300" bold>
-                    {callDenoiseGateThreshold} dB
-                  </Text>
+                <Box direction="Row" justifyContent="SpaceBetween">
+                  <Text size="T200">Gate Threshold</Text>
+                  <Text size="T200">{callDenoiseGateThreshold} dB</Text>
                 </Box>
                 <input
                   type="range"

src/app/state/settings.ts

@@ -14,7 +14,10 @@ export type MessageSpacing = '0' | '100' | '200' | '300' | '400' | '500';
 //  - 'browser' : WebRTC built-in suppression (Element Call noiseSuppression param)
 //  - 'ml'      : client-side RNNoise ML suppression (Lotus denoise shim)
 export type NoiseSuppressionMode = 'off' | 'browser' | 'ml';
-export type DenoiseModelId = 'rnnoise' | 'speex' | 'dtln' | 'deepfilternet';
+// Only self-hostable, build-bundled models are exposed. DTLN/DeepFilterNet were
+// evaluated but rely on remote-style asset loading incompatible with our
+// self-hosted/Tauri-CSP strategy (see LOTUS_DENOISE_ENGINEERING_REVIEW.md).
+export type DenoiseModelId = 'rnnoise' | 'speex';
 export type ChatBackground =
   | 'none'
   | 'blueprint'
@@ -257,6 +260,12 @@ export const getSettings = (): Settings => {
             ? 'browser'
             : 'off'
           : (saved.callNoiseSuppression ?? defaultSettings.callNoiseSuppression),
+      // Coerce any retired/unknown persisted model (e.g. 'dtln', 'deepfilternet'
+      // from earlier beta builds) back to the default working model.
+      callDenoiseModel:
+        saved.callDenoiseModel === 'rnnoise' || saved.callDenoiseModel === 'speex'
+          ? saved.callDenoiseModel
+          : defaultSettings.callDenoiseModel,
       composerToolbarButtons: {
         ...DEFAULT_COMPOSER_TOOLBAR,
         ...(saved.composerToolbarButtons ?? {}),

src/app/utils/lotusDenoiseUtils.ts

@@ -15,30 +15,21 @@ export type DenoiseModel = {
 export const DENOISE_MODELS: DenoiseModel[] = [
   {
     id: 'rnnoise',
-    name: 'RNNoise (Mozilla)',
+    name: 'RNNoise',
     description: 'Lightweight hybrid model. Best for consistent noise like fans.',
     cpuUsage: '< 5%',
     binarySize: '< 1 MB',
-    transients: 'Poor',
-    voiceQuality: 'Moderate',
-  },
-  {
-    id: 'dtln',
-    name: 'DTLN (Balanced)',
-    description: 'Deep learning model with a good balance of quality and CPU.',
-    cpuUsage: '10-20%',
-    binarySize: '3-4 MB',
     transients: 'Good',
     voiceQuality: 'High',
   },
   {
-    id: 'deepfilternet',
-    name: 'DeepFilterNet 3 (Pro)',
-    description: 'State-of-the-art studio quality. Removes all background noise.',
-    cpuUsage: '25-50%+',
-    binarySize: '15-20 MB',
-    transients: 'Excellent',
-    voiceQuality: 'Very High',
+    id: 'speex',
+    name: 'Speex (Legacy)',
+    description: 'Classic DSP noise suppressor. Minimal CPU, gentler on voice.',
+    cpuUsage: '< 2%',
+    binarySize: '< 1 MB',
+    transients: 'Poor',
+    voiceQuality: 'Moderate',
   },
 ];
 
@@ -65,4 +56,3 @@ export const ML_DENOISE_REQUIREMENTS = [
   'Microphone access',
   '48kHz AudioContext capability',
 ];
-