diff --git a/optimization_engine/llm_optimization_runner.py b/optimization_engine/llm_optimization_runner.py
index e5e25598..bf491825 100644
--- a/optimization_engine/llm_optimization_runner.py
+++ b/optimization_engine/llm_optimization_runner.py
@@ -77,6 +77,12 @@ class LLMOptimizationRunner:
         self.output_dir = Path(output_dir)
         self.output_dir.mkdir(parents=True, exist_ok=True)
 
+        # Save LLM workflow configuration for transparency and documentation
+        workflow_config_file = self.output_dir / "llm_workflow_config.json"
+        with open(workflow_config_file, 'w') as f:
+            json.dump(llm_workflow, f, indent=2)
+        logger.info(f"LLM workflow configuration saved to: {workflow_config_file}")
+
         # Initialize automation components
         self._initialize_automation()
 
@@ -201,8 +207,14 @@ class LLMOptimizationRunner:
         design_vars = {}
         for var_config in design_vars_config:
             var_name = var_config['parameter']
-            var_min = var_config.get('min', 0.0)
-            var_max = var_config.get('max', 1.0)
+
+            # Parse bounds - LLM returns 'bounds' as [min, max]
+            if 'bounds' in var_config:
+                var_min, var_max = var_config['bounds']
+            else:
+                # Fallback to old format
+                var_min = var_config.get('min', 0.0)
+                var_max = var_config.get('max', 1.0)
 
             # Suggest value using Optuna
             design_vars[var_name] = trial.suggest_float(var_name, var_min, var_max)