Linting

Author: knfreemLD

packages/sdk/server-ai/src/ldai/client.py

@@ -99,28 +99,31 @@ def judge_config(
         )
 
         variation = self._client.variation(key, context, default_value.to_dict())
-        def _extract_evaluation_metric_key(variation: Dict[str, Any], default_value: AIJudgeConfigDefault) -> Optional[str]:
+
+        def _extract_evaluation_metric_key(
+            variation: Dict[str, Any], default_value: AIJudgeConfigDefault
+        ) -> Optional[str]:
             """
             Extract evaluation_metric_key with backward compatibility.
-            
+
             Priority: 1) evaluationMetricKey from variation, 2) evaluation_metric_key from default,
                       3) first from evaluationMetricKeys in variation, 4) first from evaluation_metric_keys in default
             """
             if evaluation_metric_key := variation.get('evaluationMetricKey'):
                 return evaluation_metric_key
-            
+
             if default_value.evaluation_metric_key:
                 return default_value.evaluation_metric_key
-            
+
             variation_keys = variation.get('evaluationMetricKeys')
             if isinstance(variation_keys, list) and variation_keys:
                 return variation_keys[0]
-            
+
             if default_value.evaluation_metric_keys:
                 return default_value.evaluation_metric_keys[0]
-            
+
             return None
-        
+
         evaluation_metric_key = _extract_evaluation_metric_key(variation, default_value)
 
         config = AIJudgeConfig(

packages/sdk/server-ai/src/ldai/judge/evaluation_schema_builder.py

@@ -19,7 +19,7 @@ def build(evaluation_metric_key: Optional[str]) -> Optional[Dict[str, Any]]:
         """
         if not evaluation_metric_key:
             return None
-        
+
         return {
             'title': 'EvaluationResponse',
             'description': f"Response containing evaluation results for {evaluation_metric_key} metric",