Litellm merge pr (#7161)

* build: merge branch

* test: fix openai naming

* fix(main.py): fix openai renaming

* style: ignore function length for config factory

* fix(sagemaker/): fix routing logic

* fix: fix imports

* fix: fix override

litellm/llms/volcengine.py

@@ -2,9 +2,10 @@ import types
 from typing import Literal, Optional, Union
 
 import litellm
+from litellm.llms.openai_like.chat.transformation import OpenAILikeChatConfig
 
 
-class VolcEngineConfig:
+class VolcEngineConfig(OpenAILikeChatConfig):
     frequency_penalty: Optional[int] = None
     function_call: Optional[Union[str, dict]] = None
     functions: Optional[list] = None
@@ -38,21 +39,7 @@ class VolcEngineConfig:
 
     @classmethod
     def get_config(cls):
-        return {
-            k: v
-            for k, v in cls.__dict__.items()
-            if not k.startswith("__")
-            and not isinstance(
-                v,
-                (
-                    types.FunctionType,
-                    types.BuiltinFunctionType,
-                    classmethod,
-                    staticmethod,
-                ),
-            )
-            and v is not None
-        }
+        return super().get_config()
 
     def get_supported_openai_params(self, model: str) -> list:
         return [
@@ -77,14 +64,3 @@ class VolcEngineConfig:
             "max_retries",
             "extra_headers",
         ]  # works across all models
-
-    def map_openai_params(
-        self, non_default_params: dict, optional_params: dict, model: str
-    ) -> dict:
-        supported_openai_params = self.get_supported_openai_params(model)
-        for param, value in non_default_params.items():
-            if param == "max_completion_tokens":
-                optional_params["max_tokens"] = value
-            elif param in supported_openai_params:
-                optional_params[param] = value
-        return optional_params