feat(mma): Implement HITL execution clutch and step-mode

tests/test_conductor_engine.py

@@ -138,3 +138,59 @@ def test_run_worker_lifecycle_handles_blocked_response():
         
         assert ticket.status == "blocked"
         assert "BLOCKED" in ticket.blocked_reason
+
+def test_run_worker_lifecycle_step_mode_confirmation():
+    """
+    Test that run_worker_lifecycle passes confirm_execution to ai_client.send when step_mode is True.
+    Verify that if confirm_execution is called (simulated by mocking ai_client.send to call its callback),
+    the flow works as expected.
+    """
+    ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
+    context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
+    
+    from multi_agent_conductor import run_worker_lifecycle, confirm_execution
+    
+    with patch("ai_client.send") as mock_send, \
+         patch("multi_agent_conductor.confirm_execution") as mock_confirm:
+        
+        # We simulate ai_client.send by making it call the pre_tool_callback it received
+        def mock_send_side_effect(*args, **kwargs):
+            callback = kwargs.get("pre_tool_callback")
+            if callback:
+                # Simulate calling it with some payload
+                callback('{"tool": "read_file", "args": {"path": "test.txt"}}')
+            return "Success"
+        
+        mock_send.side_effect = mock_send_side_effect
+        mock_confirm.return_value = True
+        
+        run_worker_lifecycle(ticket, context)
+        
+        # Verify confirm_execution was called
+        mock_confirm.assert_called_once()
+        assert ticket.status == "completed"
+
+def test_run_worker_lifecycle_step_mode_rejection():
+    """
+    Verify that if confirm_execution returns False, the logic (in ai_client, which we simulate here)
+    would prevent execution. In run_worker_lifecycle, we just check if it's passed.
+    """
+    ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
+    context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
+    
+    from multi_agent_conductor import run_worker_lifecycle
+    
+    with patch("ai_client.send") as mock_send, \
+         patch("multi_agent_conductor.confirm_execution") as mock_confirm:
+        
+        mock_confirm.return_value = False
+        mock_send.return_value = "Task failed because tool execution was rejected."
+        
+        run_worker_lifecycle(ticket, context)
+        
+        # Verify it was passed to send
+        args, kwargs = mock_send.call_args
+        assert kwargs["pre_tool_callback"] is not None
+        
+        # Since we've already tested ai_client's implementation of pre_tool_callback (mentally or via other tests),
+        # here we just verify the wiring.