conductor(checkpoint): Phase 3: AI Settings and Tools Simulation complete

tests/test_sim_ai_settings.py

@@ -0,0 +1,41 @@
+import pytest
+from unittest.mock import MagicMock, patch
+import os
+import sys
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from simulation.sim_ai_settings import AISettingsSimulation
+
+def test_ai_settings_simulation_run():
+    mock_client = MagicMock()
+    mock_client.wait_for_server.return_value = True
+    
+    mock_client.get_value.side_effect = lambda key: {
+        "current_provider": "gemini",
+        "current_model": "gemini-2.0-flash"
+    }.get(key)
+    
+    with patch('simulation.sim_base.WorkflowSimulator') as mock_sim_class:
+        mock_sim = MagicMock()
+        mock_sim_class.return_value = mock_sim
+        
+        sim = AISettingsSimulation(mock_client)
+        
+        # Override the side effect after initial setup if needed or just let it return the same for simplicity
+        # Actually, let's use a side effect that updates
+        vals = {"current_provider": "gemini", "current_model": "gemini-2.0-flash"}
+        def side_effect(key):
+            return vals.get(key)
+        def set_side_effect(key, val):
+            vals[key] = val
+            
+        mock_client.get_value.side_effect = side_effect
+        mock_client.set_value.side_effect = set_side_effect
+        
+        sim.run()
+        
+        # Verify calls
+        mock_client.set_value.assert_any_call("current_provider", "anthropic")
+        mock_client.set_value.assert_any_call("current_provider", "gemini")