diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 84ff790ae48..804d667a788 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -662,6 +662,12 @@ class OpenAIResponsesHandler(BaseTranslation):
                 data["instructions"] = written_back.instructions  # rebind-ok: data is an out-param
         else:
             await self._apply_guardrailed_texts(data, input_data, extracted, guardrail_to_apply, guardrailed_inputs)
+        if litellm_logging_obj is not None:
+            sanitized_input: Final = data.get("input")
+            sanitized_messages: Final = self.get_structured_messages(data) or []
+            litellm_logging_obj.messages = sanitized_messages
+            litellm_logging_obj.model_call_details["messages"] = sanitized_messages
+            litellm_logging_obj.model_call_details["input"] = sanitized_input
         verbose_proxy_logger.debug("OpenAI Responses API: Processed input messages: %s", data.get("input"))
         return data
 
diff --git a/tests/unit/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/unit/llms/openai/responses/test_openai_responses_guardrail_handler.py
index bf871210074..25d4200e531 100644
--- a/tests/unit/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/unit/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -265,6 +265,27 @@ class TestOpenAIResponsesHandlerInputProcessing:
         assert result["input"] == "Hello world [GUARDRAILED]"
         assert result["model"] == "gpt-4"
 
+    @pytest.mark.asyncio
+    async def test_rewritten_input_refreshes_logging_snapshot(self):
+        handler = OpenAIResponsesHandler()
+        guardrail = MockGuardrail(guardrail_name="test")
+        logging_obj = MagicMock()
+        original_messages = [{"role": "user", "content": "sensitive-value"}]
+        logging_obj.messages = original_messages
+        logging_obj.model_call_details = {
+            "messages": original_messages,
+            "input": "sensitive-value",
+        }
+        data = {"input": "sensitive-value", "model": "gpt-4"}
+
+        result = await handler.process_input_messages(data, guardrail, logging_obj)
+
+        assert result["input"] == "sensitive-value [GUARDRAILED]"
+        sanitized_messages = [{"role": "user", "content": result["input"]}]
+        assert logging_obj.messages == sanitized_messages
+        assert logging_obj.model_call_details["messages"] == sanitized_messages
+        assert logging_obj.model_call_details["input"] == result["input"]
+
     @pytest.mark.asyncio
     async def test_process_input_none(self):
         """Test processing when input is None"""