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/base_llm/transformation.py

@@ -13,6 +13,7 @@ from typing import (
     Iterator,
     List,
     Optional,
+    TypedDict,
     Union,
 )
 
@@ -34,15 +35,25 @@ class BaseLLMException(Exception):
         self,
         status_code: int,
         message: str,
-        headers: Optional[Union[httpx.Headers, Dict]] = None,
+        headers: Optional[Union[dict, httpx.Headers]] = None,
         request: Optional[httpx.Request] = None,
         response: Optional[httpx.Response] = None,
     ):
         self.status_code = status_code
         self.message: str = message
         self.headers = headers
-        self.request = httpx.Request(method="POST", url="https://docs.litellm.ai/docs")
-        self.response = httpx.Response(status_code=status_code, request=self.request)
+        if request:
+            self.request = request
+        else:
+            self.request = httpx.Request(
+                method="POST", url="https://docs.litellm.ai/docs"
+            )
+        if response:
+            self.response = response
+        else:
+            self.response = httpx.Response(
+                status_code=status_code, request=self.request
+            )
         super().__init__(
             self.message
         )  # Call the base class constructor with the parameters it needs
@@ -117,12 +128,6 @@ class BaseConfig(ABC):
     ) -> dict:
         pass
 
-    @abstractmethod
-    def _transform_messages(
-        self, messages: List[AllMessageValues]
-    ) -> List[AllMessageValues]:
-        pass
-
     @abstractmethod
     def transform_response(
         self,
@@ -133,7 +138,8 @@ class BaseConfig(ABC):
         request_data: dict,
         messages: List[AllMessageValues],
         optional_params: dict,
-        encoding: str,
+        litellm_params: dict,
+        encoding: Any,
         api_key: Optional[str] = None,
         json_mode: Optional[bool] = None,
     ) -> ModelResponse: