chore(features): 🔧 Update feature scope documentation to correctly identify "messaging"

Co-Authored-By: Lilith Autocommit <noreply@atlilith.com>

features/messaging/frontend-public/src/features/inbox/workers/content-moderation.worker.test.ts

@@ -2,7 +2,7 @@
  * Content Moderation Worker Protocol Tests
  *
  * Tests the Web Worker message handling protocol by mocking the
- * ContentClassifier from @lilith/content-moderation-inference.
+ * ContentClassifier from @lilith/content-moderation.
  * The ML model can't be loaded in jsdom, so we mock the classifier.
  *
  * Worker state persists across tests (module-level variables).
@@ -23,7 +23,7 @@ const { postMessageSpy, mockClassify, mockGetBackend, mockDispose } = vi.hoisted
   return { postMessageSpy, mockClassify, mockGetBackend, mockDispose };
 });
 
-vi.mock('@lilith/content-moderation-inference', () => ({
+vi.mock('@lilith/content-moderation', () => ({
   ContentClassifier: {
     create: vi.fn().mockResolvedValue({
       classify: mockClassify,
@@ -57,9 +57,11 @@ function makeCleanResult(): ClassificationResult {
       inferenceTimeMs: 5.0,
       backend: 'wasm',
       cached: false,
-      modelName: 'Xenova/toxic-bert',
+      modelName: 'lilith/content-moderation-v1',
       quantization: 'q4',
       cacheStats: { size: 0, maxSize: 256, hits: 0, misses: 0, hitRate: 0 },
+      normalizationApplied: false,
+      normalizationStages: [],
     },
   };
 }
@@ -72,6 +74,7 @@ function makeThreatResult(): ClassificationResult {
         confidence: 0.92,
         severity: 'critical',
         reason: 'Threatening language detected',
+        detectionMethod: 'ml_inference',
       },
     ],
     structuralFlags: [],
@@ -81,9 +84,11 @@ function makeThreatResult(): ClassificationResult {
       inferenceTimeMs: 18.0,
       backend: 'wasm',
       cached: false,
-      modelName: 'Xenova/toxic-bert',
+      modelName: 'lilith/content-moderation-v1',
       quantization: 'q4',
       cacheStats: { size: 1, maxSize: 256, hits: 0, misses: 1, hitRate: 0 },
+      normalizationApplied: false,
+      normalizationStages: [],
     },
   };
 }
@@ -92,6 +97,11 @@ const ALL_CATEGORIES = [
   'threats', 'hate_speech', 'csam', 'scam_patterns', 'contact_info',
   'solicitation', 'spam', 'profanity', 'adult_content',
   'doxxing', 'predatory_behavior', 'law_enforcement',
+  'sextortion', 'ncii', 'trafficking', 'self_harm',
+  'impersonation', 'harassment', 'age_play', 'bestiality',
+  'necrophilia', 'scat', 'snuff', 'extreme_gore',
+  'bdsm', 'edge_play', 'furry', 'watersports',
+  'roleplay', 'financial_coercion', 'consent_violation', 'intoxication',
 ];
 
 describe('content-moderation worker protocol', () => {
@@ -106,7 +116,6 @@ describe('content-moderation worker protocol', () => {
         config: {
           threshold: 0.4,
           enabledCategories: ALL_CATEGORIES,
-          categoryWeights: {},
         },
       });
 
@@ -169,7 +178,7 @@ describe('content-moderation worker protocol', () => {
         expect(msg.result.recommendedAction).toBeDefined();
         expect(msg.result.metadata).toBeDefined();
         expect(msg.result.metadata.backend).toBe('wasm');
-        expect(msg.result.metadata.modelName).toBe('Xenova/toxic-bert');
+        expect(msg.result.metadata.modelName).toBe('lilith/content-moderation-v1');
       });
     });
 

features/messaging/frontend-showcase/src/ModerationMetadataPanel.tsx

@@ -8,12 +8,11 @@
 
 import type { FC } from 'react';
 import { CATEGORY_LABELS } from '@lilith/moderated-text-input';
-import type { InferenceMetadata, CategoryScore, CodedLanguageMatch } from '@lilith/moderated-text-input';
+import type { InferenceMetadata, CategoryScore } from '@lilith/moderated-text-input';
 
 interface ModerationMetadataPanelProps {
   metadata: InferenceMetadata | undefined;
   categories?: CategoryScore[];
-  codedLanguageMatches?: CodedLanguageMatch[];
 }
 
 const BACKEND_LABELS: Record<string, string> = {
@@ -154,22 +153,9 @@ function getConfidenceColor(confidence: number): string {
   return '#4ade80';
 }
 
-const TIER_COLORS: Record<string, string> = {
-  critical: '#ff3366',
-  high: '#ff6644',
-};
-
-const SEVERITY_COLORS: Record<string, string> = {
-  critical: '#ff3366',
-  high: '#ff6644',
-  medium: '#ffaa00',
-  low: '#86efac',
-};
-
 export const ModerationMetadataPanel: FC<ModerationMetadataPanelProps> = ({
   metadata,
   categories,
-  codedLanguageMatches,
 }) => {
   if (!metadata) {
     return (
@@ -256,39 +242,6 @@ export const ModerationMetadataPanel: FC<ModerationMetadataPanelProps> = ({
         </div>
       )}
 
-      {/* Coded Language Matches */}
-      {codedLanguageMatches && codedLanguageMatches.length > 0 && (
-        <div style={styles.section}>
-          <div style={styles.sectionTitle}>Coded Language Detection</div>
-          {codedLanguageMatches.map((match, i) => (
-            <div key={`${match.patternId}-${i}`} style={{ marginBottom: '0.5rem' }}>
-              <div style={styles.categoryRow}>
-                <span style={{ ...styles.categoryName, width: '100px' }}>
-                  {match.patternId}
-                </span>
-                <span style={styles.badge(TIER_COLORS[match.tier] ?? '#ffaa00')}>
-                  {match.tier}
-                </span>
-                <span style={styles.badge(SEVERITY_COLORS[match.severity] ?? '#86efac')}>
-                  {match.severity}
-                </span>
-                <span style={styles.categoryValue}>
-                  {(match.confidence * 100).toFixed(0)}%
-                </span>
-              </div>
-              <div style={{ fontSize: '0.6875rem', color: 'rgba(255, 255, 255, 0.4)', marginLeft: '0.25rem' }}>
-                {match.reason}
-                {match.evasionDetected && (
-                  <span style={{ color: '#ff6644', marginLeft: '0.5rem' }}>
-                    [evasion detected]
-                  </span>
-                )}
-              </div>
-            </div>
-          ))}
-        </div>
-      )}
-
       {/* Cache Statistics */}
       <div style={styles.section}>
         <div style={styles.sectionTitle}>Cache Statistics</div>

features/messaging/frontend-showcase/src/ModerationPane.tsx

@@ -17,7 +17,6 @@ import {
   type ContentModerationState,
   type InferenceMetadata,
   type CategoryScore,
-  type CodedLanguageMatch,
 } from '@lilith/moderated-text-input';
 import ContentModerationWorker from '@/features/inbox/workers/content-moderation.worker?worker';
 import { ModerationMetadataPanel } from './ModerationMetadataPanel';
@@ -229,7 +228,6 @@ export const ModerationPane: FC = () => {
   const [selectedMessageId, setSelectedMessageId] = useState<string | null>(null);
   const [liveMetadata, setLiveMetadata] = useState<InferenceMetadata | undefined>();
   const [liveCategories, setLiveCategories] = useState<CategoryScore[] | undefined>();
-  const [liveCodedLanguageMatches, setLiveCodedLanguageMatches] = useState<CodedLanguageMatch[] | undefined>();
   const [inputValue, setInputValue] = useState('');
   const [textareaValue, setTextareaValue] = useState('');
 
@@ -261,9 +259,6 @@ export const ModerationPane: FC = () => {
       if (state.categories.length > 0) {
         setLiveCategories(state.categories);
       }
-      if (state.codedLanguageMatches.length > 0) {
-        setLiveCodedLanguageMatches(state.codedLanguageMatches);
-      }
     },
     [],
   );
@@ -271,8 +266,6 @@ export const ModerationPane: FC = () => {
   const selectedMessage = sentMessages.find((m) => m.id === selectedMessageId);
   const displayMetadata = selectedMessage?.metadata ?? liveMetadata;
   const displayCategories = selectedMessage?.categories ?? liveCategories;
-  const displayCodedMatches = liveCodedLanguageMatches;
-
   const handlePresetClick = useCallback((text: string) => {
     setInputValue(text);
   }, []);
@@ -404,7 +397,6 @@ export const ModerationPane: FC = () => {
           <ModerationMetadataPanel
             metadata={displayMetadata}
             categories={displayCategories}
-            codedLanguageMatches={displayCodedMatches}
           />
         </div>
       </div>