合并openai兼容，过ruff

src/api/config_api.py

@@ -1,10 +1,10 @@
 from typing import Dict, List, Optional
 import strawberry
-from packaging.version import Version, InvalidVersion
-from packaging.specifiers import SpecifierSet, InvalidSpecifier
-from ..config.config import global_config
-import os
-
+# from packaging.version import Version, InvalidVersion
+# from packaging.specifiers import SpecifierSet, InvalidSpecifier
+# from ..config.config import global_config
+# import os
+from packaging.version import Version
 
 @strawberry.type
 class BotConfig:

src/plugins/models/utils_model.py

@@ -79,8 +79,7 @@ class LLMRequest:
         "o3",
         "o3-2025-04-16",
         "o3-mini",
-        "o3-mini-2025-01-31"
-        "o4-mini",
+        "o3-mini-2025-01-31o4-mini",
         "o4-mini-2025-04-16",
     ]
 
@@ -806,10 +805,8 @@ class LLMRequest:
     ) -> Union[Tuple[Dict[str, Any], int], Tuple[None, int]]:
         policy = request_content["policy"]
         payload = request_content["payload"]
-        keep_request = False
-        wait_time = 0.1
-        if retry_count < policy["max_retries"] - 1:
         wait_time = policy["base_wait"] * (2**retry_count)
+        if retry_count < policy["max_retries"] - 1:
             keep_request = True
         if isinstance(exception, RequestAbortException):
             response = exception.response
@@ -989,9 +986,7 @@ class LLMRequest:
         # 复制一份参数，避免直接修改 self.params
         params_copy = await self._transform_parameters(self.params)
         if image_base64:
-            payload = {
-                "model": self.model_name,
-                "messages": [
+            messages = [
                 {
                     "role": "user",
                     "content": [
@@ -1002,17 +997,16 @@ class LLMRequest:
                         },
                     ],
                 }
-                ],
-                "max_tokens": global_config.max_response_length,
-                **params_copy,
-            }
+            ]
         else:
+            messages = [{"role": "user", "content": prompt}]
         payload = {
             "model": self.model_name,
-                "messages": [{"role": "user", "content": prompt}],
-                "max_tokens": global_config.max_response_length,
+            "messages": messages,
             **params_copy,
         }
+        if "max_tokens" not in payload and "max_completion_tokens" not in payload:
+            payload["max_tokens"] = global_config.max_response_length
         # 如果 payload 中依然存在 max_tokens 且需要转换，在这里进行再次检查
         if self.model_name.lower() in self.MODELS_NEEDING_TRANSFORMATION and "max_tokens" in payload:
             payload["max_completion_tokens"] = payload.pop("max_tokens")
@@ -1105,11 +1099,10 @@ class LLMRequest:
 
     async def generate_response_async(self, prompt: str, **kwargs) -> Union[str, Tuple]:
         """异步方式根据输入的提示生成模型的响应"""
-        # 构建请求体
+        # 构建请求体，不硬编码max_tokens
         data = {
             "model": self.model_name,
             "messages": [{"role": "user", "content": prompt}],
-            "max_tokens": global_config.max_response_length,
             **self.params,
             **kwargs,
         }