diff --git a/app/utils/qwenvl_analyzer.py b/app/utils/qwenvl_analyzer.py
index 254cee1..54e6e36 100644
--- a/app/utils/qwenvl_analyzer.py
+++ b/app/utils/qwenvl_analyzer.py
@@ -16,28 +16,38 @@
 class QwenAnalyzer:
     """千问视觉分析器类"""
 
-    def __init__(self, model_name: str = "qwen-vl-max-latest", api_key: str = None):
+    def __init__(self, model_name: str = "qwen-vl-max-latest", api_key: str = None, base_url: str = None):
         """
         初始化千问视觉分析器
+        
         Args:
             model_name: 模型名称，默认使用 qwen-vl-max-latest
             api_key: 阿里云API密钥
+            base_url: API基础URL，如果为None则使用默认值
         """
         if not api_key:
             raise ValueError("必须提供API密钥")
 
         self.model_name = model_name
         self.api_key = api_key
+        self.base_url = base_url or "https://dashscope.aliyuncs.com/compatible-mode/v1"
 
         # 配置API客户端
         self._configure_client()
 
     def _configure_client(self):
-        """配置API客户端"""
-        self.client = OpenAI(
-            api_key=self.api_key,
-            base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
-        )
+        """
+        配置API客户端
+        使用最简化的参数配置，避免不必要的参数
+        """
+        try:
+            self.client = OpenAI(
+                api_key=self.api_key,
+                base_url=self.base_url
+            )
+        except Exception as e:
+            logger.error(f"初始化OpenAI客户端失败: {str(e)}")
+            raise
 
     def _image_to_base64(self, image: PIL.Image.Image) -> str:
         """
@@ -141,7 +151,7 @@ async def analyze_images(self,
 
                     while retry_count < 3:
                         try:
-                            # 在每个批次处理前添加小延迟
+                            # 在每个批次处理前��加小延迟
                             if i > 0:
                                 await asyncio.sleep(2)
 
@@ -199,7 +209,7 @@ def save_results_to_txt(self, results: List[Dict], output_dir: str):
         for i, result in enumerate(results):
             response_text = result['response']
 
-            # 如果有图片路径信息，使用它来生成文件名
+            # 如果有图片路径信息，���用它来生成文件名
             if result.get('image_paths'):
                 image_paths = result['image_paths']
                 img_name_start = Path(image_paths[0]).stem.split('_')[-1]
diff --git a/requirements.txt b/requirements.txt
index 60ca2b8..f98c399 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -34,3 +34,4 @@ tenacity>=9.0.0
 tiktoken==0.8.0
 yt-dlp==2024.11.18
 pysrt==1.1.2
+httpx==0.27.2
diff --git a/webui/tools/base.py b/webui/tools/base.py
index 4148d34..d6dc3de 100644
--- a/webui/tools/base.py
+++ b/webui/tools/base.py
@@ -6,10 +6,27 @@
 
 
 def create_vision_analyzer(provider, api_key, model, base_url):
+    """
+    创建视觉分析器实例
+    
+    Args:
+        provider: 提供商名称 ('gemini' 或 'qwenvl')
+        api_key: API密钥
+        model: 模型名称
+        base_url: API基础URL
+        
+    Returns:
+        VisionAnalyzer 或 QwenAnalyzer 实例
+    """
     if provider == 'gemini':
         return gemini_analyzer.VisionAnalyzer(model_name=model, api_key=api_key)
     elif provider == 'qwenvl':
-        return qwenvl_analyzer.QwenAnalyzer(model_name=model, api_key=api_key)
+        # 只传入必要的参数
+        return qwenvl_analyzer.QwenAnalyzer(
+            model_name=model, 
+            api_key=api_key,
+            base_url=base_url
+        )
     else:
         raise ValueError(f"不支持的视觉分析提供商: {provider}")