diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py
index ae6d646b5ae..305a5c20764 100644
--- a/litellm/integrations/custom_guardrail.py
+++ b/litellm/integrations/custom_guardrail.py
@@ -901,8 +901,16 @@ class CustomGuardrail(CustomLogger):
             for key, value in (litellm_params.get("metadata") or {}).items()
             if key != "standard_logging_guardrail_information"
         }
+        response: Final = (
+            kwargs.get("async_complete_streaming_response") or kwargs.get("complete_streaming_response") or result
+        )
+        output_translation: Final = (
+            get_guardrail_translation_mapping(CallTypes.acompletion)()
+            if isinstance(response, ModelResponse)
+            else translation
+        )
         try:
-            await self._scan_logged_call(kwargs, result, translation, scratch_metadata)
+            await self._scan_logged_call(kwargs, response, translation, output_translation, scratch_metadata)
         except Exception as e:
             verbose_logger.warning("Guardrail %s: logging_only scan raised: %s", self.guardrail_name, e)
         recorded: Final = scratch_metadata.get("standard_logging_guardrail_information")
@@ -919,12 +927,11 @@ class CustomGuardrail(CustomLogger):
     async def _scan_logged_call(
         self,
         kwargs: dict,  # mutable-ok: CustomLogger.async_logging_hook contract
-        result: object,
+        response: object | None,
         translation: "BaseTranslation",
+        output_translation: "BaseTranslation",
         scratch_metadata: dict,  # mutable-ok: apply_guardrail records its verdict into request metadata
     ) -> None:
-        from litellm.llms import get_guardrail_translation_mapping
-
         optional_params: Final = kwargs.get("optional_params") or {}
         scratch_input: Final = copy.deepcopy(kwargs.get("messages") or kwargs.get("input"))
         scratch_request: Final = {
@@ -936,16 +943,8 @@ class CustomGuardrail(CustomLogger):
             "metadata": scratch_metadata,
         }
         await translation.process_input_messages(data=scratch_request, guardrail_to_apply=self)
-        response: Final = (
-            kwargs.get("async_complete_streaming_response") or kwargs.get("complete_streaming_response") or result
-        )
         if response is None:
             return
-        output_translation: Final = (
-            get_guardrail_translation_mapping(CallTypes.acompletion)()
-            if isinstance(response, ModelResponse)
-            else translation
-        )
         await output_translation.process_output_response(
             response=copy.deepcopy(response), guardrail_to_apply=self, request_data=scratch_request
         )