refactor: remove unused response normalizer module

- Delete unused ResponseNormalizer class and its initialization logic
- Remove response_normalizer and enable_response_normalization parameters from handlers
- Simplify chat adapter base initialization by removing normalizer setup
- Clean up unused imports in handler modules

src/api/handlers/base/chat_adapter_base.py

@@ -64,18 +64,6 @@ class ChatAdapterBase(ApiAdapter):
 
     def __init__(self, allowed_api_formats: Optional[list[str]] = None):
         self.allowed_api_formats = allowed_api_formats or [self.FORMAT_ID]
-        self.response_normalizer = None
-        # 可选启用响应规范化
-        self._init_response_normalizer()
-
-    def _init_response_normalizer(self):
-        """初始化响应规范化器 - 子类可覆盖"""
-        try:
-            from src.services.provider.response_normalizer import ResponseNormalizer
-
-            self.response_normalizer = ResponseNormalizer()
-        except ImportError:
-            pass
 
     async def handle(self, context: ApiRequestContext):
         """处理 Chat API 请求"""
@@ -228,8 +216,6 @@ class ChatAdapterBase(ApiAdapter):
             user_agent=user_agent,
             start_time=start_time,
             allowed_api_formats=self.allowed_api_formats,
-            response_normalizer=self.response_normalizer,
-            enable_response_normalization=self.response_normalizer is not None,
             adapter_detector=self.detect_capability_requirements,
         )
 

src/api/handlers/base/chat_handler_base.py

@@ -88,8 +88,6 @@ class ChatHandlerBase(BaseMessageHandler, ABC):
         user_agent: str,
         start_time: float,
         allowed_api_formats: Optional[list] = None,
-        response_normalizer: Optional[Any] = None,
-        enable_response_normalization: bool = False,
         adapter_detector: Optional[Callable[[Dict[str, str], Optional[Dict[str, Any]]], Dict[str, bool]]] = None,
     ):
         allowed = allowed_api_formats or [self.FORMAT_ID]
@@ -106,8 +104,6 @@ class ChatHandlerBase(BaseMessageHandler, ABC):
         )
         self._parser: Optional[ResponseParser] = None
         self._request_builder = PassthroughRequestBuilder()
-        self.response_normalizer = response_normalizer
-        self.enable_response_normalization = enable_response_normalization
 
     @property
     def parser(self) -> ResponseParser:

src/api/handlers/claude/handler.py

@@ -131,10 +131,5 @@ class ClaudeChatHandler(ChatHandlerBase):
         Returns:
             规范化后的响应
         """
-        if self.response_normalizer and self.response_normalizer.should_normalize(response):
+        # 作为中转站，直接透传响应，不做标准化处理
-            result: Dict[str, Any] = self.response_normalizer.normalize_claude_response(
-                response_data=response,
-                request_id=self.request_id,
-            )
-            return result
         return response

src/api/handlers/gemini/handler.py

@@ -148,17 +148,6 @@ class GeminiChatHandler(ChatHandlerBase):
 
         Returns:
             规范化后的响应
-
-        TODO: 如果需要，实现响应规范化逻辑
         """
-        # 可选：使用 response_normalizer 进行规范化
+        # 作为中转站，直接透传响应，不做标准化处理
-        # if (
-        #     self.response_normalizer
-        #     and self.response_normalizer.should_normalize(response)
-        # ):
-        #     return self.response_normalizer.normalize_gemini_response(
-        #         response_data=response,
-        #         request_id=self.request_id,
-        #         strict=False,
-        #     )
         return response

src/api/handlers/openai/handler.py

@@ -128,10 +128,5 @@ class OpenAIChatHandler(ChatHandlerBase):
         Returns:
             规范化后的响应
         """
-        if self.response_normalizer and self.response_normalizer.should_normalize(response):
+        # 作为中转站，直接透传响应，不做标准化处理
-            return self.response_normalizer.normalize_openai_response(
-                response_data=response,
-                request_id=self.request_id,
-                strict=False,
-            )
         return response

src/services/provider/response_normalizer.py

@@ -1,61 +0,0 @@
-"""响应标准化服务，用于 STANDARD 模式下的响应格式验证和补全"""
-
-from typing import Any, Dict, Optional
-
-from src.core.logger import logger
-from src.models.claude import ClaudeResponse
-
-
-
-class ResponseNormalizer:
-    """响应标准化器 - 用于标准模式下验证和补全响应字段"""
-
-    @staticmethod
-    def normalize_claude_response(
-        response_data: Dict[str, Any], request_id: Optional[str] = None
-    ) -> Dict[str, Any]:
-        """
-        标准化 Claude API 响应
-
-        Args:
-            response_data: 原始响应数据
-            request_id: 请求ID（用于日志）
-
-        Returns:
-            标准化后的响应数据（失败时返回原始数据）
-        """
-        if "error" in response_data:
-            logger.debug(f"[ResponseNormalizer] 检测到错误响应，跳过标准化 | ID:{request_id}")
-            return response_data
-
-        try:
-            validated = ClaudeResponse.model_validate(response_data)
-            normalized = validated.model_dump(mode="json", exclude_none=False)
-
-            logger.debug(f"[ResponseNormalizer] 响应标准化成功 | ID:{request_id}")
-            return normalized
-
-        except Exception as e:
-            logger.debug(f"[ResponseNormalizer] 响应验证失败，透传原始数据 | ID:{request_id}")
-            return response_data
-
-    @staticmethod
-    def should_normalize(response_data: Dict[str, Any]) -> bool:
-        """
-        判断是否需要进行标准化
-
-        Args:
-            response_data: 响应数据
-
-        Returns:
-            是否需要标准化
-        """
-        # 错误响应不需要标准化
-        if "error" in response_data:
-            return False
-
-        # 已经包含新字段的响应不需要再次标准化
-        if "context_management" in response_data and "container" in response_data:
-            return False
-
-        return True