feat: Add embedding status hint in clustering UI

- Add embedding status check API endpoints (embed-status, embed)
- Display embedding hint in cluster list view:
  - Warning when vector model not installed
  - Progress indicator when embeddings pending
  - Generate button for quick embedding
- Add i18n translations (EN/ZH)
- Add CSS styles for embedding hint components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

ccw/src/core/routes/core-memory-routes.ts

@@ -2,6 +2,9 @@ import * as http from 'http';
 import { URL } from 'url';
 import { getCoreMemoryStore } from '../core-memory-store.js';
 import type { CoreMemory, SessionCluster, ClusterMember, ClusterRelation } from '../core-memory-store.js';
+import { getEmbeddingStatus, generateEmbeddings, isEmbedderAvailable } from '../memory-embedder-bridge.js';
+import { StoragePaths } from '../../config/storage-paths.js';
+import { join } from 'path';
 
 /**
  * Route context interface
@@ -301,6 +304,62 @@ export async function handleCoreMemoryRoutes(ctx: RouteContext): Promise<boolean
     return true;
   }
 
+  // API: Get embedding status
+  if (pathname === '/api/core-memory/embed-status' && req.method === 'GET') {
+    const projectPath = url.searchParams.get('path') || initialPath;
+
+    try {
+      if (!isEmbedderAvailable()) {
+        res.writeHead(200, { 'Content-Type': 'application/json' });
+        res.end(JSON.stringify(null));
+        return true;
+      }
+
+      const paths = StoragePaths.project(projectPath);
+      const dbPath = join(paths.root, 'core-memory', 'core_memory.db');
+      const status = await getEmbeddingStatus(dbPath);
+
+      res.writeHead(200, { 'Content-Type': 'application/json' });
+      res.end(JSON.stringify(status));
+    } catch (error: unknown) {
+      res.writeHead(500, { 'Content-Type': 'application/json' });
+      res.end(JSON.stringify({ error: (error as Error).message }));
+    }
+    return true;
+  }
+
+  // API: Generate embeddings
+  if (pathname === '/api/core-memory/embed' && req.method === 'POST') {
+    handlePostRequest(req, res, async (body) => {
+      const { sourceId, force, batchSize, path: projectPath } = body;
+      const basePath = projectPath || initialPath;
+
+      try {
+        if (!isEmbedderAvailable()) {
+          return { error: 'Embedder not available. Install CodexLens first.', status: 503 };
+        }
+
+        const paths = StoragePaths.project(basePath);
+        const dbPath = join(paths.root, 'core-memory', 'core_memory.db');
+
+        const result = await generateEmbeddings(dbPath, {
+          sourceId,
+          force: force || false,
+          batchSize: batchSize || 8
+        });
+
+        return {
+          success: result.success,
+          chunks_processed: result.chunks_processed,
+          elapsed_time: result.elapsed_time
+        };
+      } catch (error: unknown) {
+        return { error: (error as Error).message, status: 500 };
+      }
+    });
+    return true;
+  }
+
   // API: Create new cluster
   if (pathname === '/api/core-memory/clusters' && req.method === 'POST') {
     handlePostRequest(req, res, async (body) => {