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fix: fix linting error

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This commit is contained in:
Krrish Dholakia 2025-04-11 17:29:53 -07:00
parent b56122b164
commit b59e54d835
4 changed files with 59 additions and 36 deletions
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87
litellm/proxy/openai_files_endpoints/files_endpoints.py
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@ -159,6 +159,51 @@ async def create_file_for_each_model(
return response
async def route_create_file(
llm_router: Optional[Router],
_create_file_request: CreateFileRequest,
purpose: OpenAIFilesPurpose,
proxy_logging_obj: ProxyLogging,
user_api_key_dict: UserAPIKeyAuth,
target_model_names_list: List[str],
is_router_model: bool,
router_model: Optional[str],
custom_llm_provider: str,
) -> OpenAIFileObject:
if (
litellm.enable_loadbalancing_on_batch_endpoints is True
and is_router_model
and router_model is not None
):
response = await _deprecated_loadbalanced_create_file(
llm_router=llm_router,
router_model=router_model,
_create_file_request=_create_file_request,
)
elif target_model_names_list:
response = await create_file_for_each_model(
llm_router=llm_router,
_create_file_request=_create_file_request,
target_model_names_list=target_model_names_list,
purpose=purpose,
proxy_logging_obj=proxy_logging_obj,
user_api_key_dict=user_api_key_dict,
)
else:
# get configs for custom_llm_provider
llm_provider_config = get_files_provider_config(
custom_llm_provider=custom_llm_provider
)
if llm_provider_config is not None:
# add llm_provider_config to data
_create_file_request.update(llm_provider_config)
_create_file_request.pop("custom_llm_provider", None) # type: ignore
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
response = await litellm.acreate_file(**_create_file_request, custom_llm_provider=custom_llm_provider) # type: ignore
return response
@router.post(
"/{provider}/v1/files",
dependencies=[Depends(user_api_key_auth)],
@ -267,37 +312,17 @@ async def create_file(
file=file_data, purpose=cast(CREATE_FILE_REQUESTS_PURPOSE, purpose), **data
)
response: Optional[OpenAIFileObject] = None
if (
litellm.enable_loadbalancing_on_batch_endpoints is True
and is_router_model
and router_model is not None
):
response = await _deprecated_loadbalanced_create_file(
llm_router=llm_router,
router_model=router_model,
_create_file_request=_create_file_request,
)
elif target_model_names_list:
response = await create_file_for_each_model(
llm_router=llm_router,
_create_file_request=_create_file_request,
target_model_names_list=target_model_names_list,
purpose=purpose,
proxy_logging_obj=proxy_logging_obj,
user_api_key_dict=user_api_key_dict,
)
else:
# get configs for custom_llm_provider
llm_provider_config = get_files_provider_config(
custom_llm_provider=custom_llm_provider
)
if llm_provider_config is not None:
# add llm_provider_config to data
_create_file_request.update(llm_provider_config)
_create_file_request.pop("custom_llm_provider", None) # type: ignore
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
response = await litellm.acreate_file(**_create_file_request, custom_llm_provider=custom_llm_provider) # type: ignore
response = await route_create_file(
llm_router=llm_router,
_create_file_request=_create_file_request,
purpose=purpose,
proxy_logging_obj=proxy_logging_obj,
user_api_key_dict=user_api_key_dict,
target_model_names_list=target_model_names_list,
is_router_model=is_router_model,
router_model=router_model,
custom_llm_provider=custom_llm_provider,
)
if response is None:
raise HTTPException(