diff --git a/app/server/ChatbotAgent/agent_server.py b/app/server/ChatbotAgent/agent_server.py
index 6cc9450..2579905 100644
--- a/app/server/ChatbotAgent/agent_server.py
+++ b/app/server/ChatbotAgent/agent_server.py
@@ -21,6 +21,7 @@ class AgentRequestModel(BaseModel):
     stylist_path: str
     callback_url: str
     gender: str
+    max_len: int
 
 
 class LCAgent(ls.LitAPI):
@@ -39,7 +40,7 @@ class LCAgent(ls.LitAPI):
         )
         self.stylist_agent_kwages = {
             'local_db': self.vector_db,
-            'max_len': 5,
+            'max_len': 9,
             'gemini_model_name': settings.LLM_MODEL_NAME
         }
         self.outfit_ids = []
@@ -80,7 +81,8 @@ class LCAgent(ls.LitAPI):
                                                              num_outfits=request.num_outfits,
                                                              user_id=request.user_id,
                                                              gender=request.gender,
-                                                             callback_url=request.callback_url)
+                                                             callback_url=request.callback_url,
+                                                             max_len=request.max_len)
         logger.info("--- Final Recommendation Results ---")
         for i, path in enumerate(recommendation_results.get("successful_outfits", [])):
             logger.info(f"✅ Outfit {i + 1} saved to: {path}")
@@ -101,7 +103,7 @@ class LCAgent(ls.LitAPI):
         return summary
 
     async def recommend_outfit(self, request_summary: str, stylist_name: str, start_outfit=None, num_outfits: int = 1,
-                               user_id: str = "test", gender: str = "male", callback_url: str = None):
+                               user_id: str = "test", gender: str = "male", callback_url: str = None, max_len: str = 9):
         """
         基于用户的对话历史和需求，推荐一套搭配。
 
@@ -115,6 +117,7 @@ class LCAgent(ls.LitAPI):
         task_map = {}
         for i in range(num_outfits):
             self.stylist_agent_kwages['outfit_id'] = self.outfit_ids[i]
+            self.stylist_agent_kwages['max_len'] = max_len
             agent = AsyncStylistAgent(**self.stylist_agent_kwages)
             task = agent.run_styling_process(
                 request_summary=request_summary,
@@ -198,4 +201,4 @@ class LCAgent(ls.LitAPI):
             "successful_outfits": successful_outfits,
             "failed_outfits": failed_outfits,
             "error": ""
-        }
\ No newline at end of file
+        }