Fix brain configuration update issue - ensure UI values override preset values

app_with_mcp.py

@@ -191,7 +191,7 @@ async def minion_respond_async(query: str, preset_model: str, api_type: str,
                              use_tools: bool):
     """Respond to query using specified configuration with optional MCP tools"""
     
-    # If a preset model is selected, use preset configuration
+    # If a preset model is selected, use preset configuration as base but allow overrides
     if preset_model != "Custom":
         config_obj = preset_configs.get(preset_model, default_config)
         llm_config_dict = {
@@ -200,17 +200,22 @@ async def minion_respond_async(query: str, preset_model: str, api_type: str,
             'base_url': config_obj.base_url,
             'api_version': config_obj.api_version,
             'model': config_obj.model,
-            'temperature': config_obj.temperature,
-            'max_tokens': config_obj.max_tokens,
+            'temperature': temperature,  # Use UI value, not preset value
+            'max_tokens': max_tokens,    # Use UI value, not preset value
             'vision_enabled': config_obj.vision_enabled
         }
+        print(f"Using preset '{preset_model}' with temperature={temperature}, max_tokens={max_tokens}")
     else:
         # Use custom configuration
         llm_config_dict = create_custom_llm_config(
             api_type, api_key, base_url, api_version, model, temperature, max_tokens
         )
+        print(f"Using custom config with temperature={temperature}, max_tokens={max_tokens}")
     
+    # Always rebuild brain with current configuration
     brain = build_brain_with_config(llm_config_dict)
+    print(f"Brain rebuilt with config: api_type={llm_config_dict['api_type']}, model={llm_config_dict['model']}")
+    
     # Handle empty route selection for auto route
     route_param = route if route else None