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fix(openai.py-+-azure.py): fix linting issues

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This commit is contained in:
Krrish Dholakia 2023-11-20 19:29:23 -08:00
parent f715c845c5
commit 35e5a757b0
4 changed files with 30 additions and 14 deletions
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20
litellm/llms/azure.py
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@ -136,7 +136,10 @@ class AzureChatCompletion(BaseLLM):
elif "stream" in optional_params and optional_params["stream"] == True:
return self.streaming(logging_obj=logging_obj, api_base=api_base, data=data, model=model, api_key=api_key, api_version=api_version, azure_ad_token=azure_ad_token, timeout=timeout)
else:
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, timeout=timeout, max_retries=data.pop("max_retries", 2))
max_retries = data.pop("max_retries", 2)
if not isinstance(max_retries, int):
raise AzureOpenAIError(status_code=422, message="max retries must be an int")
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, timeout=timeout, max_retries=max_retries)
response = azure_client.chat.completions.create(**data) # type: ignore
return convert_to_model_response_object(response_object=json.loads(response.model_dump_json()), model_response_object=model_response)
except AzureOpenAIError as e:
@ -156,7 +159,10 @@ class AzureChatCompletion(BaseLLM):
azure_ad_token: Optional[str]=None, ):
response = None
try:
azure_client = AsyncAzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.aclient_session, timeout=timeout, max_retries=data.pop("max_retries", 2))
max_retries = data.pop("max_retries", 2)
if not isinstance(max_retries, int):
raise AzureOpenAIError(status_code=422, message="max retries must be an int")
azure_client = AsyncAzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.aclient_session, timeout=timeout, max_retries=max_retries)
response = await azure_client.chat.completions.create(**data)
return convert_to_model_response_object(response_object=json.loads(response.model_dump_json()), model_response_object=model_response)
except Exception as e:
@ -177,7 +183,10 @@ class AzureChatCompletion(BaseLLM):
timeout: Any,
azure_ad_token: Optional[str]=None,
):
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, timeout=timeout, max_retries=data.pop("max_retries", 2))
max_retries = data.pop("max_retries", 2)
if not isinstance(max_retries, int):
raise AzureOpenAIError(status_code=422, message="max retries must be an int")
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, timeout=timeout, max_retries=max_retries)
response = azure_client.chat.completions.create(**data)
streamwrapper = CustomStreamWrapper(completion_stream=response, model=model, custom_llm_provider="azure",logging_obj=logging_obj)
for transformed_chunk in streamwrapper:
@ -218,7 +227,10 @@ class AzureChatCompletion(BaseLLM):
"input": input,
**optional_params
}
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, max_retries=data.pop("max_retries", 2))
max_retries = data.pop("max_retries", 2)
if not isinstance(max_retries, int):
raise AzureOpenAIError(status_code=422, message="max retries must be an int")
azure_client = AzureOpenAI(api_key=api_key, api_version=api_version, azure_endpoint=api_base, azure_deployment=model, azure_ad_token=azure_ad_token, http_client=litellm.client_session, max_retries=max_retries)
## LOGGING
logging_obj.pre_call(