diff --git a/app/core/stylist_agent_server.py b/app/core/stylist_agent_server.py
index 5366f07..baaf1c2 100644
--- a/app/core/stylist_agent_server.py
+++ b/app/core/stylist_agent_server.py
@@ -150,7 +150,7 @@ class AsyncStylistAgent:
         # self._clear_uploaded_files()
         # 1. 添加图片内容
         if self.outfit_items:
-            merged_image = merge_images_to_square(self.outfit_items, max_len=self.max_len)
+            merged_image = merge_images_to_square(self.outfit_items, max_len=self.max_len, add_text=False)
             image_bytes_io = io.BytesIO()
             image_format = 'JPEG'
             mime_type = 'image/jpeg'
@@ -275,6 +275,7 @@ class AsyncStylistAgent:
                          }
         logger.info(response_data)
         item_id = ""
+        item_category = ""
         while True:
             # 1. 准备用户输入(上下文)
             user_input = self._build_user_input()
@@ -284,7 +285,7 @@ class AsyncStylistAgent:
             gemini_data = self._parse_gemini_response(gemini_response_text)
             response_data['path'] = minio_path
             if item_id:
-                response_data['items'].append(item_id)
+                response_data['items'].append({"item_id": item_id, "category": item_category})
             if not gemini_data:
                 print("🚨 Agent 返回无效响应,终止流程。")
                 self.stop_reason = "Agent failed to return response"
@@ -316,6 +317,7 @@ class AsyncStylistAgent:
                 # 4b. 在本地 DB 中查询单品
                 new_item = self._get_next_item(description, category)
                 item_id = new_item.get('item_id')
+                item_category = new_item.get('category')
 
                 if new_item:
                     # 4c. (实际步骤) 将选中的单品图片和描述发回给 Agent 进行最终审核
diff --git a/app/main.py b/app/main.py
index c94c4f2..64ecfa9 100644
--- a/app/main.py
+++ b/app/main.py
@@ -4,6 +4,7 @@ import litserve as ls
 from app.core.config import DEBUG, settings
 from app.server.ChatbotAgent.agent_server import LCAgent
 from app.server.ChatbotAgent.chatbot_server import LCChatBot
+from app.server.ReFace.server import ReFace
 from logging_env import LOGGER_CONFIG_DICT
 
 logger = logging.getLogger(__name__)
@@ -24,5 +25,6 @@ if __name__ == "__main__":
     logger.info(f"VECTOR_DB_DIR -> :{settings.VECTOR_DB_DIR}")
     chat_boot_api = LCChatBot(enable_async=True, stream=True, api_path='/api/v1/chatbot')
     agent_api = LCAgent(enable_async=True, api_path='/api/v1/agent')
-    server = ls.LitServer([chat_boot_api, agent_api])
+    reface_api = ReFace(api_path='/api/v1/reface')
+    server = ls.LitServer([chat_boot_api, agent_api, reface_api])
     server.run(port=8000)
diff --git a/app/server/ChatbotAgent/agent_server.py b/app/server/ChatbotAgent/agent_server.py
index 1605cd4..c2a3eb0 100644
--- a/app/server/ChatbotAgent/agent_server.py
+++ b/app/server/ChatbotAgent/agent_server.py
@@ -1,9 +1,6 @@
 import asyncio
-import json
 import logging
-import os
 import uuid
-from typing import List, Dict
 
 import litserve as ls
 from pydantic import BaseModel
diff --git a/app/server/ReFace/server.py b/app/server/ReFace/server.py
new file mode 100644
index 0000000..413e5f1
--- /dev/null
+++ b/app/server/ReFace/server.py
@@ -0,0 +1,59 @@
+import json
+
+import litserve as ls
+import requests
+from pydantic import BaseModel
+
+
+class PredictRequest(BaseModel):
+    input_image_list: list[str]  # 待换脸图片
+    input_face: str  # 目标脸图片
+    threshold: float = 0.2  # 相似度 max：0.5
+
+
+class ReFace(ls.LitAPI):
+    def decode_request(self, request: PredictRequest):
+        return request
+
+    def predict(self, request):
+        # 服务的 URL
+        url = "http://10.1.1.240:10071/predict"
+
+        # 请求头
+        headers = {
+            "accept": "application/json",
+            "Content-Type": "application/json"
+        }
+
+        # 请求体数据
+        # 这里的结构要和你的 LitServe 服务的 LitAPI.decode_request 预期的一致
+        data = {
+            "input_image_list": request.input_image_list,
+            "input_face": request.input_face,
+            "threshold": request.threshold
+        }
+
+        try:
+            # 使用 requests.post 发送请求
+            # 使用 json= 参数可以自动将 Python 字典转换为 JSON 格式，并设置 Content-Type 头部
+            response = requests.post(url, headers=headers, json=data)
+
+            # 检查 HTTP 响应状态码，如果不是 200/201 等成功状态，将抛出异常
+            response.raise_for_status()
+
+            # 打印返回的 JSON 结果
+            print("成功调用 LitServe 接口，返回结果:")
+            # .json() 方法将响应体解析为 Python 字典
+            print(json.dumps(response.json(), indent=4, ensure_ascii=False))
+            return response.json()
+
+        except requests.exceptions.RequestException as e:
+            # 处理请求失败、连接错误或 HTTP 错误状态
+            print(f"请求发生错误: {e}")
+            if 'response' in locals() and response is not None:
+                print(f"响应状态码: {response.status_code}")
+                try:
+                    # 尝试打印服务器返回的错误详情
+                    print(f"服务器错误详情: {response.json()}")
+                except:
+                    print(f"服务器错误详情 (非 JSON 格式): {response.text}")