diff --git a/server/routers/chat_router.py b/server/routers/chat_router.py
index 7c66ba81..17b9a72b 100644
--- a/server/routers/chat_router.py
+++ b/server/routers/chat_router.py
@@ -169,7 +169,6 @@ async def chat_agent(
             async for msg, metadata in agent.stream_messages(messages, input_context=input_context):
                 # logger.debug(f"msg: {msg.model_dump()}, metadata: {metadata}")
                 if isinstance(msg, AIMessageChunk):
-
                     accumulated_content += msg.content
                     if conf.enable_content_guard and content_guard.check(accumulated_content):
                         logger.warning(f"Sensitive content detected in stream: {accumulated_content}")
diff --git a/src/config/app.py b/src/config/app.py
index 72a05079..f20c6b28 100644
--- a/src/config/app.py
+++ b/src/config/app.py
@@ -52,9 +52,7 @@ class Config(SimpleConfig):
         self.add_item("enable_content_guard", default=False, des="是否启用内容审查")
         self.add_item("enable_content_guard_llm", default=False, des="是否启用LLM内容审查")
         self.add_item(
-            "content_guard_llm_model",
-            default="siliconflow/Qwen/Qwen3-235B-A22B-Instruct-2507",
-            des="内容审查LLM模型"
+            "content_guard_llm_model", default="siliconflow/Qwen/Qwen3-235B-A22B-Instruct-2507", des="内容审查LLM模型"
         )
         self.add_item(
             "enable_web_search",
diff --git a/src/models/chat_model.py b/src/models/chat_model.py
index b2392788..22db391d 100644
--- a/src/models/chat_model.py
+++ b/src/models/chat_model.py
@@ -2,7 +2,7 @@ import os
 import traceback
 
 from openai import OpenAI
-from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type, before_sleep_log, after_log
+from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type, before_sleep_log
 
 from src import config
 from src.utils import get_docker_safe_url, logger
@@ -21,7 +21,7 @@ class OpenAIBase:
         wait=wait_exponential(multiplier=1, min=1, max=10),
         retry=retry_if_exception_type((Exception,)),
         before_sleep=before_sleep_log(logger, log_level="WARNING"),
-        reraise=True
+        reraise=True,
     )
     def call(self, message, stream=False):
         if isinstance(message, str):
@@ -33,7 +33,7 @@ class OpenAIBase:
             if stream:
                 response = self._stream_response(messages)
             else:
-                response =  self._get_response(messages)
+                response = self._get_response(messages)
 
         except Exception as e:
             err = (
@@ -55,7 +55,6 @@ class OpenAIBase:
             if len(chunk.choices) > 0:
                 yield chunk.choices[0].delta
 
-
     def _get_response(self, messages):
         response = self.client.chat.completions.create(
             model=self.model_name,
diff --git a/src/plugins/guard.py b/src/plugins/guard.py
index b57dc0dd..071ecf57 100644
--- a/src/plugins/guard.py
+++ b/src/plugins/guard.py
@@ -27,6 +27,7 @@ PROMPT_TEMPLATE = """
 输入内容：{content}
 输出内容："""
 
+
 def load_keywords(file_path: str) -> list[str]:
     """Loads keywords from a file, one per line."""
     if not os.path.exists(file_path):
@@ -51,7 +52,6 @@ class ContentGuard:
         else:
             self.llm_model = None
 
-
     def check(self, text: str) -> bool:
         """
         Checks if the text contains any sensitive keywords.
@@ -88,5 +88,6 @@ class ContentGuard:
         logger.debug(f"LLM response: {response.content}")
         return True if "不合规" in response.content else False
 
+
 # Global instance
 content_guard = ContentGuard()