Add RLUtils class for managing RL/AI dashboard endpoints

- Implemented methods for fetching AI stats, training history, and recent experiences.
- Added functionality to set operation mode (MANUAL, AUTO, AI) with appropriate handling.
- Included helper methods for querying the database and sending JSON responses.
- Integrated model metadata extraction for visualization purposes.

utils.py

@@ -20,7 +20,8 @@ class WebUtils:
         "studio_utils": ("web_utils.studio_utils", "StudioUtils"),
         "db_utils": ("web_utils.db_utils", "DBUtils"),
         "action_utils": ("web_utils.action_utils", "ActionUtils"),
-
+        "rl": ("web_utils.rl_utils", "RLUtils"),
+        "debug_utils": ("web_utils.debug_utils", "DebugUtils"),
     }