diff --git a/app/middleware/smart_routing_middleware.py b/app/middleware/smart_routing_middleware.py
index e8a4756..1ba73f7 100644
--- a/app/middleware/smart_routing_middleware.py
+++ b/app/middleware/smart_routing_middleware.py
@@ -15,18 +15,18 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
     async def dispatch(self, request: Request, call_next):
         if not settings.URL_NORMALIZATION_ENABLED:
             return await call_next(request)
-        
+        logger.debug(f"request: {request}")
         original_path = str(request.url.path)
         method = request.method
         
         # 尝试修复URL
         fixed_path, fix_info = self.fix_request_url(original_path, method, request)
-        
+
         if fixed_path != original_path:
             logger.info(f"URL fixed: {method} {original_path} → {fixed_path}")
             if fix_info:
                 logger.debug(f"Fix details: {fix_info}")
-            
+
             # 重写请求路径
             request.scope["path"] = fixed_path
             request.scope["raw_path"] = fixed_path.encode()
@@ -41,20 +41,20 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
             return path, None
 
         # 1. 最高优先级：包含generateContent → Gemini格式
-        if 'generatecontent' in path.lower():
+        if "generatecontent" in path.lower() or "v1beta/models" in path.lower():
             return self.fix_gemini_by_operation(path, method, request)
 
         # 2. 第二优先级：包含/openai/ → OpenAI格式
-        if '/openai/' in path.lower():
+        if "/openai/" in path.lower():
             return self.fix_openai_by_operation(path, method)
 
         # 3. 第三优先级：包含/v1/ → v1格式
-        if '/v1/' in path.lower():
+        if "/v1/" in path.lower():
             return self.fix_v1_by_operation(path, method)
 
         # 4. 第四优先级：包含/chat/completions → chat功能
-        if '/chat/completions' in path.lower():
-            return '/v1/chat/completions', {'type': 'v1_chat'}
+        if "/chat/completions" in path.lower():
+            return "/v1/chat/completions", {"type": "v1_chat"}
 
         # 5. 默认：原样传递
         return path, None
@@ -63,16 +63,16 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
         """检查是否已经是正确的API格式"""
         # 检查是否已经是正确的端点格式
         correct_patterns = [
-            r'^/v1beta/models/[^/:]+:(generate|streamGenerate)Content$',  # Gemini原生
-            r'^/gemini/v1beta/models/[^/:]+:(generate|streamGenerate)Content$',  # Gemini带前缀
-            r'^/v1beta/models$',  # Gemini模型列表
-            r'^/gemini/v1beta/models$',  # Gemini带前缀的模型列表
-            r'^/v1/(chat/completions|models|embeddings|images/generations)$',  # v1格式
-            r'^/openai/v1/(chat/completions|models|embeddings|images/generations)$',  # OpenAI格式
-            r'^/hf/v1/(chat/completions|models|embeddings|images/generations)$',  # HF格式
-            r'^/vertex-express/v1beta/models/[^/:]+:(generate|streamGenerate)Content$',  # Vertex Express Gemini格式
-            r'^/vertex-express/v1beta/models$',  # Vertex Express模型列表
-            r'^/vertex-express/v1/(chat/completions|models|embeddings|images/generations)$',  # Vertex Express OpenAI格式
+            r"^/v1beta/models/[^/:]+:(generate|streamGenerate)Content$",  # Gemini原生
+            r"^/gemini/v1beta/models/[^/:]+:(generate|streamGenerate)Content$",  # Gemini带前缀
+            r"^/v1beta/models$",  # Gemini模型列表
+            r"^/gemini/v1beta/models$",  # Gemini带前缀的模型列表
+            r"^/v1/(chat/completions|models|embeddings|images/generations)$",  # v1格式
+            r"^/openai/v1/(chat/completions|models|embeddings|images/generations)$",  # OpenAI格式
+            r"^/hf/v1/(chat/completions|models|embeddings|images/generations)$",  # HF格式
+            r"^/vertex-express/v1beta/models/[^/:]+:(generate|streamGenerate)Content$",  # Vertex Express Gemini格式
+            r"^/vertex-express/v1beta/models$",  # Vertex Express模型列表
+            r"^/vertex-express/v1/(chat/completions|models|embeddings|images/generations)$",  # Vertex Express OpenAI格式
         ]
 
         for pattern in correct_patterns:
@@ -81,10 +81,14 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
 
         return False
 
-    def fix_gemini_by_operation(self, path: str, method: str, request: Request) -> tuple:
+    def fix_gemini_by_operation(
+        self, path: str, method: str, request: Request
+    ) -> tuple:
         """根据Gemini操作修复，考虑端点偏好"""
-        if method != 'POST':
-            return path, None
+        if method == "GET":
+            return "/v1beta/models", {
+                "role": "gemini_models",
+            }
 
         # 提取模型名称
         try:
@@ -97,72 +101,80 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
         is_stream = self.detect_stream_request(path, request)
 
         # 检查是否有vertex-express偏好
-        if '/vertex-express/' in path.lower():
+        if "/vertex-express/" in path.lower():
             if is_stream:
-                target_url = f'/vertex-express/v1beta/models/{model_name}:streamGenerateContent'
+                target_url = (
+                    f"/vertex-express/v1beta/models/{model_name}:streamGenerateContent"
+                )
             else:
-                target_url = f'/vertex-express/v1beta/models/{model_name}:generateContent'
+                target_url = (
+                    f"/vertex-express/v1beta/models/{model_name}:generateContent"
+                )
 
             fix_info = {
-                'rule': 'vertex_express_generate' if not is_stream else 'vertex_express_stream',
-                'preference': 'vertex_express_format',
-                'is_stream': is_stream,
-                'model': model_name
+                "rule": (
+                    "vertex_express_generate"
+                    if not is_stream
+                    else "vertex_express_stream"
+                ),
+                "preference": "vertex_express_format",
+                "is_stream": is_stream,
+                "model": model_name,
             }
         else:
             # 标准Gemini端点
             if is_stream:
-                target_url = f'/v1beta/models/{model_name}:streamGenerateContent'
+                target_url = f"/v1beta/models/{model_name}:streamGenerateContent"
             else:
-                target_url = f'/v1beta/models/{model_name}:generateContent'
+                target_url = f"/v1beta/models/{model_name}:generateContent"
 
             fix_info = {
-                'rule': 'gemini_generate' if not is_stream else 'gemini_stream',
-                'preference': 'gemini_format',
-                'is_stream': is_stream,
-                'model': model_name
+                "rule": "gemini_generate" if not is_stream else "gemini_stream",
+                "preference": "gemini_format",
+                "is_stream": is_stream,
+                "model": model_name,
             }
 
         return target_url, fix_info
 
     def fix_openai_by_operation(self, path: str, method: str) -> tuple:
         """根据操作类型修复OpenAI格式"""
-        if method == 'POST':
-            if 'chat' in path.lower() or 'completion' in path.lower():
-                return '/openai/v1/chat/completions', {'type': 'openai_chat'}
-            elif 'embedding' in path.lower():
-                return '/openai/v1/embeddings', {'type': 'openai_embeddings'}
-            elif 'image' in path.lower():
-                return '/openai/v1/images/generations', {'type': 'openai_images'}
-        elif method == 'GET':
-            if 'model' in path.lower():
-                return '/openai/v1/models', {'type': 'openai_models'}
+        if method == "POST":
+            if "chat" in path.lower() or "completion" in path.lower():
+                return "/openai/v1/chat/completions", {"type": "openai_chat"}
+            elif "embedding" in path.lower():
+                return "/openai/v1/embeddings", {"type": "openai_embeddings"}
+            elif "image" in path.lower():
+                return "/openai/v1/images/generations", {"type": "openai_images"}
+        elif method == "GET":
+            if "model" in path.lower():
+                return "/openai/v1/models", {"type": "openai_models"}
 
         return path, None
 
     def fix_v1_by_operation(self, path: str, method: str) -> tuple:
         """根据操作类型修复v1格式"""
-        if method == 'POST':
-            if 'chat' in path.lower() or 'completion' in path.lower():
-                return '/v1/chat/completions', {'type': 'v1_chat'}
-            elif 'embedding' in path.lower():
-                return '/v1/embeddings', {'type': 'v1_embeddings'}
-            elif 'image' in path.lower():
-                return '/v1/images/generations', {'type': 'v1_images'}
-        elif method == 'GET':
-            if 'model' in path.lower():
-                return '/v1/models', {'type': 'v1_models'}
+        if method == "POST":
+            if "chat" in path.lower() or "completion" in path.lower():
+                return "/v1/chat/completions", {"type": "v1_chat"}
+            elif "embedding" in path.lower():
+                return "/v1/embeddings", {"type": "v1_embeddings"}
+            elif "image" in path.lower():
+                return "/v1/images/generations", {"type": "v1_images"}
+        elif method == "GET":
+            if "model" in path.lower():
+                return "/v1/models", {"type": "v1_models"}
 
         return path, None
 
     def detect_stream_request(self, path: str, request: Request) -> bool:
         """检测是否为流式请求"""
         # 1. 路径中包含stream关键词
-        if 'stream' in path.lower():
+        if "stream" in path.lower():
             return True
 
         # 2. 查询参数
-        if request.query_params.get('stream') == 'true':
+        if request.query_params.get("stream") == "true":
             return True
 
         return False
@@ -171,23 +183,24 @@ class SmartRoutingMiddleware(BaseHTTPMiddleware):
         """从请求中提取模型名称，用于构建Gemini API URL"""
         # 1. 从请求体中提取
         try:
-            if hasattr(request, '_body') and request._body:
+            if hasattr(request, "_body") and request._body:
                 import json
+
                 body = json.loads(request._body.decode())
-                if 'model' in body and body['model']:
-                    return body['model']
-        except:
+                if "model" in body and body["model"]:
+                    return body["model"]
+        except Exception:
             pass
 
         # 2. 从查询参数中提取
-        model_param = request.query_params.get('model')
+        model_param = request.query_params.get("model")
         if model_param:
             return model_param
 
         # 3. 从路径中提取（用于已包含模型名称的路径）
-        match = re.search(r'/models/([^/:]+)', path, re.IGNORECASE)
+        match = re.search(r"/models/([^/:]+)", path, re.IGNORECASE)
         if match:
             return match.group(1)
 
         # 4. 如果无法提取模型名称，抛出异常
-        raise ValueError("Unable to extract model name from request")
\ No newline at end of file
+        raise ValueError("Unable to extract model name from request")