Add warning when optimize_query is used with non-semantic search modes.

V0/agent_memory_server/long_term_memory.py

@@ -1434,6 +1434,12 @@ async def search_long_term_memories(
     # preserve the literal text for lexical matching.
     search_query = text
     optimized_applied = False
+
+    if optimize_query and search_mode != SearchModeEnum.SEMANTIC:
+        # log a message? 
+        logger.warning(f"optimize_query=True is only supported for semantic search, but search_mode='{search_mode.value}'")
+
+
     if optimize_query and text and search_mode == SearchModeEnum.SEMANTIC:
         search_query = await optimize_query_for_vector_search(text)
         optimized_applied = True

V0/agent_memory_server/summary_views.py

@@ -150,11 +150,22 @@ async def delete_summary_view(view_id: str) -> None:
     Stored partition summaries are left as-is for now; they can be cleaned
     up in a later pass if needed.
     """
+    cursor = 0
 
     redis = await get_redis_conn()
     await redis.delete(_config_key(view_id))
     await redis.srem(_SUMMARY_VIEW_INDEX_KEY, view_id)
 
+    pattern = _summary_key(view_id, "*")
+
+    while True: 
+        cursor, keys = await redis.scan(cursor=cursor, match=pattern, count=100) 
+
+        for key in keys:
+            await redis.delete(key)
+
+        if cursor == 0:
+            break
 
 async def save_partition_result(result: SummaryViewPartitionResult) -> None:
     """Persist a single partition result for a SummaryView."""