Cap beli_search_restaurants results at 30 to prevent context overflow

50k+ token requests were blowing past the 32k llama-server context window
when returning the full ranked list.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

blueprints/conversation/agents.py

@@ -1366,9 +1366,11 @@ async def beli_search_restaurants(
         if name:
             qs = qs.filter(name__icontains=name)
 
-        restaurants = await qs.order_by(
-            "friend_beli_user_id", "rank_index", "name"
-        ).all()
+        restaurants = (
+            await qs.order_by("friend_beli_user_id", "rank_index", "name")
+            .limit(30)
+            .all()
+        )
 
         if cuisine:
             cuisine_lower = cuisine.lower()