feat: 使用量记录添加格式转换字段

- cli_handler_base 添加 needs_conversion 变量跟踪格式转换状态
- 用户使用量查询响应新增 endpoint_api_format 和 has_format_conversion 字段

src/api/handlers/base/cli_handler_base.py

@@ -2030,6 +2030,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
         key_id = None  # Key ID（用于失败记录）
         mapped_model_result = None  # 映射后的目标模型名（用于 Usage 记录）
         response_metadata_result: Dict[str, Any] = {}  # Provider 响应元数据
+        needs_conversion = False  # 是否需要格式转换（由 candidate 决定）
 
         # 可变请求体容器：允许 orchestrator 在遇到 Thinking 签名错误时整流请求体后重试
         # 结构: {"body": 实际请求体, "_rectified": 是否已整流, "_rectified_this_turn": 本轮是否整流}
@@ -2041,7 +2042,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
             key: ProviderAPIKey,
             candidate: ProviderCandidate,
         ) -> Dict[str, Any]:
-            nonlocal provider_name, response_json, status_code, response_headers, provider_api_format, provider_request_headers, provider_request_body, mapped_model_result, response_metadata_result
+            nonlocal provider_name, response_json, status_code, response_headers, provider_api_format, provider_request_headers, provider_request_body, mapped_model_result, response_metadata_result, needs_conversion
             provider_name = str(provider.name)
             provider_api_format = str(endpoint.api_format) if endpoint.api_format else ""
 

src/api/user_me/routes.py

@@ -900,6 +900,8 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
                     "model": r.model,
                     "target_model": r.target_model,  # 映射后的目标模型名
                     "api_format": r.api_format,
+                    "endpoint_api_format": r.endpoint_api_format,
+                    "has_format_conversion": bool(r.has_format_conversion) if r.has_format_conversion is not None else False,
                     "input_tokens": r.input_tokens,
                     "output_tokens": r.output_tokens,
                     "total_tokens": r.total_tokens,