ruff fix但指定了--unsafe-fixes

src/llm_models/payload_content/resp_format.py

@@ -68,14 +68,14 @@ def _remove_title(schema: dict[str, Any] | list[Any]) -> dict[str, Any] | list[A
     if isinstance(schema, list):
         # 如果当前Schema是列表，则对所有dict/list子元素递归调用
         for idx, item in enumerate(schema):
-            if isinstance(item, (dict, list)):
+            if isinstance(item, dict | list):
                 schema[idx] = _remove_title(item)
     elif isinstance(schema, dict):
         # 是字典，移除title字段，并对所有dict/list子元素递归调用
         if "title" in schema:
             del schema["title"]
         for key, value in schema.items():
-            if isinstance(value, (dict, list)):
+            if isinstance(value, dict | list):
                 schema[key] = _remove_title(value)
 
     return schema
@@ -120,7 +120,7 @@ def _link_definitions(schema: dict[str, Any]) -> dict[str, Any]:
                     raise ValueError(f"Schema中引用的定义'{def_key}'不存在")
             # 遍历键值对
             for key, value in sub_schema.items():
-                if isinstance(value, (dict, list)):
+                if isinstance(value, dict | list):
                     # 如果当前值是字典或列表，则递归调用
                     sub_schema[key] = link_definitions_recursive(f"{path}/{key}", value, defs)
 
@@ -136,13 +136,13 @@ def _remove_defs(schema: dict[str, Any]) -> dict[str, Any]:
     if isinstance(schema, list):
         # 如果当前Schema是列表，则对所有dict/list子元素递归调用
         for idx, item in enumerate(schema):
-            if isinstance(item, (dict, list)):
+            if isinstance(item, dict | list):
                 schema[idx] = _remove_title(item)
     elif isinstance(schema, dict):
         # 是字典，移除title字段，并对所有dict/list子元素递归调用
         schema.pop("$defs", None)
         for key, value in schema.items():
-            if isinstance(value, (dict, list)):
+            if isinstance(value, dict | list):
                 schema[key] = _remove_title(value)
 
     return schema

src/llm_models/utils.py

@@ -157,7 +157,7 @@ class LLMUsageRecorder:
     ):
         input_cost = (model_usage.prompt_tokens / 1000000) * model_info.price_in
         output_cost = (model_usage.completion_tokens / 1000000) * model_info.price_out
-        total_cost = round(input_cost + output_cost, 6)
+        round(input_cost + output_cost, 6)
 
         session = None
         try:

src/llm_models/utils_model.py

@@ -228,7 +228,7 @@ class _ModelSelector:
         penalty_increment = self.DEFAULT_PENALTY_INCREMENT
 
         # 对严重错误施加更高的惩罚，以便快速将问题模型移出候选池
-        if isinstance(e, (NetworkConnectionError, ReqAbortException)):
+        if isinstance(e, NetworkConnectionError | ReqAbortException):
             # 网络连接错误或请求被中断，通常是基础设施问题，应重罚
             penalty_increment = self.CRITICAL_PENALTY_MULTIPLIER
             logger.warning(
@@ -525,7 +525,7 @@ class _RequestExecutor:
         model_name = model_info.name
         retry_interval = api_provider.retry_interval
 
-        if isinstance(e, (NetworkConnectionError, ReqAbortException)):
+        if isinstance(e, NetworkConnectionError | ReqAbortException):
             return self._check_retry(remain_try, retry_interval, "连接异常", model_name)
         elif isinstance(e, RespNotOkException):
             return self._handle_resp_not_ok(e, model_info, api_provider, remain_try, messages_info)