diff --git a/astrbot/core/pipeline/respond/stage.py b/astrbot/core/pipeline/respond/stage.py
index 95ec8b898..fd4914b30 100644
--- a/astrbot/core/pipeline/respond/stage.py
+++ b/astrbot/core/pipeline/respond/stage.py
@@ -22,6 +22,7 @@ class RespondStage(Stage):
         except BaseException as e:
             logger.error(f'解析分段回复的间隔时间失败。{e}')
             self.interval = [1.5, 3.5]
+        logger.info(f"分段回复间隔时间：{self.interval}")
 
 
     async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
@@ -35,7 +36,7 @@ class RespondStage(Stage):
                 # 分段回复
                 for comp in result.chain:
                     await event.send(MessageChain([comp]))
-                await asyncio.sleep(random.uniform(self.interval[0], self.interval[1]))
+                    await asyncio.sleep(random.uniform(self.interval[0], self.interval[1]))
             else:
                 await event.send(result)
             await event._post_send()
diff --git a/astrbot/core/provider/sources/openai_source.py b/astrbot/core/provider/sources/openai_source.py
index 15931fff5..d9ae5f665 100644
--- a/astrbot/core/provider/sources/openai_source.py
+++ b/astrbot/core/provider/sources/openai_source.py
@@ -132,7 +132,8 @@ class ProviderOpenAIOfficial(Provider):
             
             # 适配 deepseek-r1 模型
             if r'<think>' in completion_text:
-                completion_text = re.sub(r'<think>.*?<think/>', '', completion_text).strip()
+                completion_text = re.sub(r'<think>.*?</think>', '', completion_text, flags=re.DOTALL).strip()
+                # 可能有单标签情况
                 completion_text = completion_text.replace(r'<think>', '').replace(r'</think>', '').strip()
             
             return LLMResponse("assistant", completion_text)