Catch LangChain error

L3Score.py

@@ -149,12 +149,17 @@ class L3Score(evaluate.Metric):
         L3Score = 0
         count = 0
         for question, prediction, reference in zip(questions, predictions, references):
-            response = llm.invoke(
-                (
-                    "human",
-                    _PROMPT.format(question=question, gt=reference, answer=prediction),
+            try:
+                response = llm.invoke(
+                    (
+                        "human",
+                        _PROMPT.format(question=question, gt=reference, answer=prediction),
+                    )
                 )
-            )
+            except Exception as e:
+                print(e)
+                continue
+            
             score = self._calculate_L3Score(
                 response.response_metadata["logprobs"]["content"][0]["top_logprobs"]
             )