add all openai file endpoints

litellm/llms/openai.py

@@ -18,6 +18,7 @@ import httpx
 import openai
 from openai import AsyncOpenAI, OpenAI
 from openai.types.beta.assistant_deleted import AssistantDeleted
+from openai.types.file_deleted import FileDeleted
 from pydantic import BaseModel
 from typing_extensions import overload, override
 
@@ -2110,6 +2111,105 @@ class OpenAIFilesAPI(BaseLLM):
 
         return response
 
+    async def adelete_file(
+        self,
+        file_id: str,
+        openai_client: AsyncOpenAI,
+    ) -> FileDeleted:
+        response = await openai_client.files.delete(file_id=file_id)
+        return response
+
+    def delete_file(
+        self,
+        _is_async: bool,
+        file_id: str,
+        api_base: str,
+        api_key: Optional[str],
+        timeout: Union[float, httpx.Timeout],
+        max_retries: Optional[int],
+        organization: Optional[str],
+        client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
+    ):
+        openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            timeout=timeout,
+            max_retries=max_retries,
+            organization=organization,
+            client=client,
+            _is_async=_is_async,
+        )
+        if openai_client is None:
+            raise ValueError(
+                "OpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
+            )
+
+        if _is_async is True:
+            if not isinstance(openai_client, AsyncOpenAI):
+                raise ValueError(
+                    "OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
+                )
+            return self.adelete_file(  # type: ignore
+                file_id=file_id,
+                openai_client=openai_client,
+            )
+        response = openai_client.files.delete(file_id=file_id)
+
+        return response
+
+    async def alist_files(
+        self,
+        openai_client: AsyncOpenAI,
+        purpose: Optional[str] = None,
+    ):
+        if isinstance(purpose, str):
+            response = await openai_client.files.list(purpose=purpose)
+        else:
+            response = await openai_client.files.list()
+        return response
+
+    def list_files(
+        self,
+        _is_async: bool,
+        api_base: str,
+        api_key: Optional[str],
+        timeout: Union[float, httpx.Timeout],
+        max_retries: Optional[int],
+        organization: Optional[str],
+        purpose: Optional[str] = None,
+        client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
+    ):
+        openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
+            api_key=api_key,
+            api_base=api_base,
+            timeout=timeout,
+            max_retries=max_retries,
+            organization=organization,
+            client=client,
+            _is_async=_is_async,
+        )
+        if openai_client is None:
+            raise ValueError(
+                "OpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
+            )
+
+        if _is_async is True:
+            if not isinstance(openai_client, AsyncOpenAI):
+                raise ValueError(
+                    "OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
+                )
+            return self.alist_files(  # type: ignore
+                purpose=purpose,
+                openai_client=openai_client,
+            )
+
+        if isinstance(purpose, str):
+            response = openai_client.files.list(purpose=purpose)
+        else:
+            response = openai_client.files.list()
+
+        return response
+
 
 class OpenAIBatchesAPI(BaseLLM):
     """