diff --git a/app/abstract.py b/app/abstract.py
index 13c8eef..e622f70 100644
--- a/app/abstract.py
+++ b/app/abstract.py
@@ -2,6 +2,8 @@ from abc import ABC, abstractmethod
 
 #------ 抽象 ASR, LLM, TTS 类 ------ #
 class ASR(ABC):
+    def __init__(self):
+        self.is_slience = False
     @abstractmethod
     async def stream_recognize(self, chunk):
         pass
diff --git a/app/concrete.py b/app/concrete.py
index b218811..8263b38 100644
--- a/app/concrete.py
+++ b/app/concrete.py
@@ -29,6 +29,7 @@ LAST_FRAME =3
 
 class XF_ASR(ASR):
     def __init__(self):
+        super().__init__()
         self.websocket = None
         self.current_message = ""
         self.audio = ""
@@ -58,6 +59,16 @@ class XF_ASR(ASR):
             self.current_message += parse_xfasr_recv(json.loads(await self.websocket.recv()))
             if self.current_message == "":
                 raise AsrResultNoneError()
+            if "进入沉默模式" in self.current_message:
+                self.is_slience = True
+                asyncio.create_task(self.websocket.close())
+                raise EnterSlienceMode()
+            if "退出沉默模式" in self.current_message:
+                self.is_slience = False
+                self.current_message = "已退出沉默模式"
+            if self.is_slience:
+                asyncio.create_task(self.websocket.close())
+                raise SlienceMode()
             asyncio.create_task(self.websocket.close())
             return [{"text":self.current_message, "audio":self.audio}]
         
@@ -145,6 +156,9 @@ class VOLCENGINE_LLM(LLM):
             model = model,
             messages=messages,
             stream=True,
+            temperature=llm_info['temperature'],
+            top_p=llm_info['top_p'],
+            max_tokens=llm_info['max_tokens'],
             stream_options={'include_usage': True}
         )
         for chunk in stream:
diff --git a/app/exception.py b/app/exception.py
index dd0e83b..f5fdbcd 100644
--- a/app/exception.py
+++ b/app/exception.py
@@ -51,3 +51,15 @@ class LLMResponseEnd(Exception):
     def __init__(self, message="LLM Response End!"):
         super().__init__(message)
         self.message = message
+
+# 进入静音模式（非异常）
+class EnterSlienceMode(Exception):
+    def __init__(self, message="Enter Slience Mode!"):
+        super().__init__(message)
+        self.message = message
+
+# 处于静音模式(非异常)
+class SlienceMode(Exception):
+    def __init__(self, message="Slience Mode!"):
+        super().__init__(message)
+        self.message = message
diff --git a/main.py b/main.py
index 200136b..4962d82 100644
--- a/main.py
+++ b/main.py
@@ -221,6 +221,12 @@ async def streaming_chat(ws: WebSocket,db=Depends(get_db)):
         agent.recorder.output_text = llm_text
         agent.save()
         logger.debug("音频保存成功")
+    except EnterSlienceMode:
+        tts_audio = agent.synthetize(assistant, "已进入沉默模式", db)
+        await ws.send_bytes(agent.encode("已进入沉默模式", tts_audio))
+        await ws.send_text(json.dumps({"type":"info","code":201,"msg":"进入沉默模式"}, ensure_ascii=False))
+    except SlienceMode:
+        await ws.send_text(json.dumps({"type":"info","code":201,"msg":"处于沉默模式"}, ensure_ascii=False))
     except AsrResultNoneError:
         await ws.send_text(json.dumps({"type":"error","code":501,"msg":"asr结果为空"}, ensure_ascii=False))
     except AbnormalLLMFrame as e: