新增回调接口url前缀

app/core/stylist_agent_server.py

@@ -258,7 +258,7 @@ class AsyncStylistAgent:
         context += "\nPlease recommend the next single item based on the selected items, user's request, and style guide."
         return context
 
-    async def run_styling_process(self, request_summary, stylist_path, start_outfit=None, user_id="test"):
+    async def run_styling_process(self, request_summary, stylist_path, start_outfit=None, user_id="test", callback_url=""):
         if start_outfit is None:
             start_outfit = []
         self.outfit_items = start_outfit if start_outfit else []
@@ -365,7 +365,7 @@ class AsyncStylistAgent:
                 'Connection': "keep-alive",
                 'Content-Type': "application/json"
             }
-            url = 'https://83aa2db8e006.ngrok-free.app/api/style/callback'
+            url = f'{callback_url}/api/style/callback'
             response = post_request(url=url, data=json.dumps(response_data), headers=headers)
             logger.info(response.text)
         return response_data

app/server/ChatbotAgent/agent_server.py

@@ -22,6 +22,7 @@ class AgentRequestModel(BaseModel):
     user_id: str
     num_outfits: int
     stylist_path: str
+    callback_url: str
 
 
 class LCAgent(ls.LitAPI):
@@ -79,7 +80,8 @@ class LCAgent(ls.LitAPI):
                                                              stylist_name=request.stylist_path,
                                                              start_outfit=[],
                                                              num_outfits=request.num_outfits,
-                                                             user_id=request.user_id)
+                                                             user_id=request.user_id,
+                                                             callback_url=request.callback_url)
 
         logger.info("\n--- Final Recommendation Results ---")
         for i, path in enumerate(recommendation_results.get("successful_outfits", [])):
@@ -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"):
+                               user_id: str = "test", callback_url: str = None):
         """
         基于用户的对话历史和需求，推荐一套搭配。
 
@@ -119,7 +121,8 @@ class LCAgent(ls.LitAPI):
                 request_summary=request_summary,
                 stylist_path=stylist_name,
                 start_outfit=start_outfit,
-                user_id=user_id
+                user_id=user_id,
+                callback_url=callback_url
             )
             tasks.append(task)
         print(f"--- Starting {num_outfits} concurrent outfit generation tasks. ---")

app/server/utils/request_post.py

@@ -33,7 +33,7 @@ def post_request(url, data=None, json_data=None, headers=None, auth=None, timeou
 
 
 if __name__ == '__main__':
-    url = 'https://83aa2db8e006.ngrok-free.app/api/style/callback'
+    url = 'https://0dd6f6504aff.ngrok-free.app/api/style/callback'
 
     object_data = {
         'outfit_id': "test",