rename llms/OpenAI/ -> llms/openai/ (#7154)

* rename OpenAI -> openai

* fix file rename

* fix rename changes

* fix organization of openai/transcription

* fix import OA fine tuning API

* fix openai ft handler

* fix handler import

litellm/llms/openai/chat/o1_handler.py

@@ -0,0 +1,63 @@
+"""
+Handler file for calls to OpenAI's o1 family of models
+
+Written separately to handle faking streaming for o1 models.
+"""
+
+import asyncio
+from typing import Any, Callable, List, Optional, Union
+
+from httpx._config import Timeout
+
+from litellm.llms.bedrock.chat.invoke_handler import MockResponseIterator
+from litellm.llms.openai.openai import OpenAIChatCompletion
+from litellm.types.utils import ModelResponse
+from litellm.utils import CustomStreamWrapper
+
+
+class OpenAIO1ChatCompletion(OpenAIChatCompletion):
+
+    def completion(
+        self,
+        model_response: ModelResponse,
+        timeout: Union[float, Timeout],
+        optional_params: dict,
+        logging_obj: Any,
+        model: Optional[str] = None,
+        messages: Optional[list] = None,
+        print_verbose: Optional[Callable[..., Any]] = None,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+        acompletion: bool = False,
+        litellm_params=None,
+        logger_fn=None,
+        headers: Optional[dict] = None,
+        custom_prompt_dict: dict = {},
+        client=None,
+        organization: Optional[str] = None,
+        custom_llm_provider: Optional[str] = None,
+        drop_params: Optional[bool] = None,
+    ):
+        # stream: Optional[bool] = optional_params.pop("stream", False)
+        response = super().completion(
+            model_response,
+            timeout,
+            optional_params,
+            logging_obj,
+            model,
+            messages,
+            print_verbose,
+            api_key,
+            api_base,
+            acompletion,
+            litellm_params,
+            logger_fn,
+            headers,
+            custom_prompt_dict,
+            client,
+            organization,
+            custom_llm_provider,
+            drop_params,
+        )
+
+        return response