diff --git a/dingo/config/input_args.py b/dingo/config/input_args.py
index e0eae246..908ba14c 100644
--- a/dingo/config/input_args.py
+++ b/dingo/config/input_args.py
@@ -87,6 +87,8 @@ class ExecutorArgs(BaseModel):
 
 
 class EvaluatorRuleArgs(BaseModel):
+    model_config = {"extra": "forbid"}
+
     threshold: Optional[float] = None
     pattern: Optional[str] = None
     key_list: Optional[List[str]] = None
@@ -119,7 +121,7 @@ class EvaluatorLLMArgs(BaseModel):
 
 
 class EvalPiplineConfig(BaseModel):
-    """Single evaluator configuration item"""
+    """Single evaluator configuration item."""
     name: str
     config: Optional[EvaluatorRuleArgs | EvaluatorLLMArgs] = None
 
diff --git a/dingo/exec/local.py b/dingo/exec/local.py
index 3dc170b1..5f11b1ea 100644
--- a/dingo/exec/local.py
+++ b/dingo/exec/local.py
@@ -178,8 +178,9 @@ def evaluate_single_data(self, dingo_id: str, eval_fields: dict, eval_type: str,
                 Model.set_config_rule(model, e_c_i.config)
             elif eval_type == 'llm':
                 model_cls = Model.llm_name_map.get(e_c_i.name)
-                model = model_cls()  # 实例化类为对象，避免多线程配置覆盖
+                model = model_cls()
                 Model.set_config_llm(model, e_c_i.config)
+                Model.set_config_llm(model_cls, e_c_i.config)
             else:
                 raise ValueError(f"Error eval_type: {eval_type}")