Fix timer arg mismatch that wipes alternative agents table; remove OpenHands Sub-agents

The Gradio timer for the alternative agents page fired with 3 inputs mapped to a 4-parameter function (check_and_refresh_data). When show_open_only_checkbox is None the old code omitted that argument, so mark_by_dropdown landed in the show_open_only slot — a truthy string ("Company") — causing the handler to return the open-only filtered DataFrame, which is empty for a closed-source-only dataset.

Fix: when show_open_only_checkbox is None, connect the timer to a 3-parameter wrapper (_timer_refresh_no_open) that hardcodes show_open_only=False, matching the actual inputs exactly. gr.State cannot be used here because timer ticks have no session context.

Also removes OpenHands Sub-agents from the alternative agents list and adds an explicit skip for any unlisted agent-type directories.

simple_data_loader.py

@@ -245,7 +245,6 @@ class SimpleLeaderboardViewer:
                 'acp-claude': 'Claude Code',
                 'acp-codex': 'Codex',
                 'acp-gemini': 'Gemini CLI',
-                'openhands_subagents': 'OpenHands Sub-agents',
             }
             alt_dir = self.config_path / "alternative_agents"
             if alt_dir.exists():
@@ -253,6 +252,8 @@ class SimpleLeaderboardViewer:
                     if not type_dir.is_dir():
                         continue
                     default_name = agent_type_default_name.get(type_dir.name)
+                    if default_name is None:
+                        continue  # skip unlisted agent types (e.g. openhands_subagents)
                     for agent_dir in type_dir.iterdir():
                         if not agent_dir.is_dir():
                             continue

ui_components.py

@@ -954,7 +954,7 @@ def create_leaderboard_display(
             if not new_df.empty:
                 new_transformer = DataTransformer(new_df, new_tag_map)
                 new_df_view_full, _ = new_transformer.view(tag=category_name, use_plotly=True)
-                
+
                 # Prepare both complete and all entries versions
                 if 'Categories Attempted' in new_df_view_full.columns:
                     new_df_view_complete = new_df_view_full[new_df_view_full['Categories Attempted'] == '5/5'].copy()
@@ -1014,16 +1014,22 @@ def create_leaderboard_display(
     
     # Connect the timer to the refresh function
     if show_incomplete_checkbox is not None:
-        timer_inputs = [show_incomplete_checkbox]
         if show_open_only_checkbox is not None:
-            timer_inputs.append(show_open_only_checkbox)
-        timer_inputs.append(mark_by_dropdown)  # Always include mark_by
-        timer_inputs.append(show_all_labels_checkbox)
-        refresh_timer.tick(
-            fn=check_and_refresh_data,
-            inputs=timer_inputs,
-            outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
-        )
+            refresh_timer.tick(
+                fn=check_and_refresh_data,
+                inputs=[show_incomplete_checkbox, show_open_only_checkbox, mark_by_dropdown, show_all_labels_checkbox],
+                outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
+            )
+        else:
+            # No open/closed split in this dataset — gr.State can't fill the gap in a
+            # timer tick (no session context), so use a wrapper that fixes show_open_only=False.
+            def _timer_refresh_no_open(show_incomplete, mark_by, show_all_labels):
+                return check_and_refresh_data(show_incomplete, False, mark_by, show_all_labels)
+            refresh_timer.tick(
+                fn=_timer_refresh_no_open,
+                inputs=[show_incomplete_checkbox, mark_by_dropdown, show_all_labels_checkbox],
+                outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
+            )
     else:
         # If no incomplete checkbox, always show all data (but still filter by open if needed)
         def check_and_refresh_all(show_open_only=False, mark_by=MARK_BY_DEFAULT, show_all_labels=False):