diff --git a/src/plugins/chat_module/reasoning_chat/reasoning_generator.py b/src/plugins/chat_module/reasoning_chat/reasoning_generator.py
index 787b8b229..354ddaefc 100644
--- a/src/plugins/chat_module/reasoning_chat/reasoning_generator.py
+++ b/src/plugins/chat_module/reasoning_chat/reasoning_generator.py
@@ -26,10 +26,10 @@ class ResponseGenerator:
             model=global_config.llm_reasoning,
             temperature=0.7,
             max_tokens=3000,
-            request_type="response",
+            request_type="response_reasoning",
         )
         self.model_normal = LLM_request(
-            model=global_config.llm_normal, temperature=0.8, max_tokens=256, request_type="response"
+            model=global_config.llm_normal, temperature=0.8, max_tokens=256, request_type="response_reasoning"
         )
 
         self.model_sum = LLM_request(
diff --git a/src/plugins/chat_module/think_flow_chat/think_flow_chat.py b/src/plugins/chat_module/think_flow_chat/think_flow_chat.py
index cd9452438..e644e1eb9 100644
--- a/src/plugins/chat_module/think_flow_chat/think_flow_chat.py
+++ b/src/plugins/chat_module/think_flow_chat/think_flow_chat.py
@@ -148,7 +148,7 @@ class ThinkFlowChat:
 
         if groupinfo.group_id not in global_config.talk_allowed_groups:
             return
-        logger.info("使用思维流聊天模式")
+        # logger.info("使用思维流聊天模式")
 
         # 创建聊天流
         chat = await chat_manager.get_or_create_stream(
diff --git a/src/plugins/chat_module/think_flow_chat/think_flow_generator.py b/src/plugins/chat_module/think_flow_chat/think_flow_generator.py
index d9a5c4ce0..18769983f 100644
--- a/src/plugins/chat_module/think_flow_chat/think_flow_generator.py
+++ b/src/plugins/chat_module/think_flow_chat/think_flow_generator.py
@@ -23,7 +23,7 @@ logger = get_module_logger("llm_generator", config=llm_config)
 class ResponseGenerator:
     def __init__(self):
         self.model_normal = LLM_request(
-            model=global_config.llm_normal, temperature=0.8, max_tokens=256, request_type="response"
+            model=global_config.llm_normal, temperature=0.8, max_tokens=256, request_type="response_heartflow"
         )
 
         self.model_sum = LLM_request(