forked from phoenix/litellm-mirror
feat - add litellm.acreate_file
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commit
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3 changed files with 139 additions and 14 deletions
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@ -21,7 +21,7 @@ from litellm.utils import (
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TranscriptionResponse,
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TextCompletionResponse,
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)
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from typing import Callable, Optional
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from typing import Callable, Optional, Coroutine
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import litellm
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from .prompt_templates.factory import prompt_factory, custom_prompt
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from openai import OpenAI, AsyncOpenAI
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@ -1518,42 +1518,70 @@ class OpenAIFilesAPI(BaseLLM):
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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[OpenAI] = None,
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) -> OpenAI:
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client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
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_is_async: bool = False,
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) -> Optional[Union[OpenAI, AsyncOpenAI]]:
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received_args = locals()
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openai_client: Optional[Union[OpenAI, AsyncOpenAI]] = None
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if client is None:
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data = {}
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for k, v in received_args.items():
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if k == "self" or k == "client":
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if k == "self" or k == "client" or k == "_is_async":
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pass
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elif k == "api_base" and v is not None:
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data["base_url"] = v
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elif v is not None:
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data[k] = v
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openai_client = OpenAI(**data) # type: ignore
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if _is_async is True:
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openai_client = AsyncOpenAI(**data)
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else:
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openai_client = OpenAI(**data) # type: ignore
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else:
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openai_client = client
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return openai_client
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async def acreate_file(
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self,
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create_file_data: CreateFileRequest,
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openai_client: AsyncOpenAI,
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) -> FileObject:
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response = await openai_client.files.create(**create_file_data)
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return response
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def create_file(
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self,
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_is_async: bool,
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create_file_data: CreateFileRequest,
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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[OpenAI] = None,
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) -> FileObject:
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openai_client: OpenAI = self.get_openai_client(
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client: Optional[Union[OpenAI, AsyncOpenAI]] = None,
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) -> Union[FileObject, Coroutine[Any, Any, FileObject]]:
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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.acreate_file( # type: ignore
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create_file_data=create_file_data, openai_client=openai_client
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)
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response = openai_client.files.create(**create_file_data)
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return response
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