forked from phoenix/litellm-mirror
add all openai file endpoints
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1 changed files with 100 additions and 0 deletions
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@ -18,6 +18,7 @@ import httpx
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import openai
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from openai import AsyncOpenAI, OpenAI
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from openai.types.beta.assistant_deleted import AssistantDeleted
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from openai.types.file_deleted import FileDeleted
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from pydantic import BaseModel
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from typing_extensions import overload, override
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@ -2110,6 +2111,105 @@ class OpenAIFilesAPI(BaseLLM):
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return response
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async def adelete_file(
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self,
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file_id: str,
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openai_client: AsyncOpenAI,
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) -> FileDeleted:
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response = await openai_client.files.delete(file_id=file_id)
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return response
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def delete_file(
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self,
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_is_async: bool,
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file_id: str,
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api_base: str,
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api_key: Optional[str],
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timeout: Union[float, httpx.Timeout],
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max_retries: Optional[int],
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organization: Optional[str],
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client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
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):
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
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api_key=api_key,
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api_base=api_base,
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timeout=timeout,
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max_retries=max_retries,
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organization=organization,
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client=client,
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_is_async=_is_async,
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)
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if openai_client is None:
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raise ValueError(
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"OpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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return self.adelete_file( # type: ignore
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file_id=file_id,
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openai_client=openai_client,
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)
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response = openai_client.files.delete(file_id=file_id)
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return response
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async def alist_files(
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self,
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openai_client: AsyncOpenAI,
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purpose: Optional[str] = None,
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):
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if isinstance(purpose, str):
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response = await openai_client.files.list(purpose=purpose)
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else:
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response = await openai_client.files.list()
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return response
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def list_files(
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self,
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_is_async: bool,
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api_base: str,
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api_key: Optional[str],
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timeout: Union[float, httpx.Timeout],
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max_retries: Optional[int],
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organization: Optional[str],
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purpose: Optional[str] = None,
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client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
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):
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = self.get_openai_client(
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api_key=api_key,
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api_base=api_base,
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timeout=timeout,
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max_retries=max_retries,
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organization=organization,
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client=client,
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_is_async=_is_async,
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)
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if openai_client is None:
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raise ValueError(
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"OpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
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)
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if _is_async is True:
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if not isinstance(openai_client, AsyncOpenAI):
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raise ValueError(
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"OpenAI client is not an instance of AsyncOpenAI. Make sure you passed an AsyncOpenAI client."
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)
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return self.alist_files( # type: ignore
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purpose=purpose,
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openai_client=openai_client,
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)
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if isinstance(purpose, str):
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response = openai_client.files.list(purpose=purpose)
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else:
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response = openai_client.files.list()
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return response
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class OpenAIBatchesAPI(BaseLLM):
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"""
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