feat: smart search response includes start_frame/end_frame/fps, add limit param

docs_v1.0/API_WORKSPACE/modules/06_search.md

@@ -17,6 +17,7 @@ Semantic vector search using EmbeddingGemma-300m. Generates a query embedding vi
 |-------|------|----------|---------|-------------|
 | `file_uuid` | string | Yes | — | File UUID to search within |
 | `query` | string | Yes | — | Search text |
+| `limit` | integer | No | 5 | Max results to return |
 | `page` | integer | No | 1 | Page number |
 | `page_size` | integer | No | 5 | Items per page |
 
@@ -36,13 +37,19 @@ curl -s -X POST "$API/api/v1/search/smart" \
   "query": "Audrey Hepburn",
   "results": [
     {
-      "parent_id": 12345,
-      "start_time": 299.0,
-      "end_time": 300.0,
-      "summary": "[299s-300s, 1s] Cast: Audrey Hepburn. Total: 1 lines, 5 words...",
-      "similarity": 0.72
+      "parent_id": 1087822,
+      "scene_order": 1087822,
+      "start_frame": 104438,
+      "end_frame": 104538,
+      "fps": 24.0,
+      "start_time": 4351.6,
+      "end_time": 4355.76,
+      "summary": "[4352s-4356s, 4s] Cast: Audrey Hepburn. Total: 2 lines, 10 words. Speakers: Audrey Hepburn (2 lines)",
+      "similarity": 0.67
     }
   ],
+  "page": 1,
+  "page_size": 5,
   "strategy": "semantic_vector_search"
 }
 ```