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fix(main.py): return async completion calls

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This commit is contained in:
Krrish Dholakia 2023-12-18 17:41:41 -08:00
parent 6edc7cc2b3
commit 34509d8dda
3 changed files with 65 additions and 38 deletions
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54
litellm/llms/openai.py
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@ -284,7 +284,7 @@ class OpenAIChatCompletion(BaseLLM):
additional_args={"complete_input_dict": data},
)
return convert_to_model_response_object(response_object=json.loads(stringified_response), model_response_object=model_response)
except Exception as e:
except Exception as e:
raise e
def streaming(self,
@ -631,24 +631,27 @@ class OpenAITextCompletion(BaseLLM):
api_key: str,
model: str):
async with httpx.AsyncClient() as client:
response = await client.post(api_base, json=data, headers=headers, timeout=litellm.request_timeout)
response_json = response.json()
if response.status_code != 200:
raise OpenAIError(status_code=response.status_code, message=response.text)
## LOGGING
logging_obj.post_call(
input=prompt,
api_key=api_key,
original_response=response,
additional_args={
"headers": headers,
"api_base": api_base,
},
)
try:
response = await client.post(api_base, json=data, headers=headers, timeout=litellm.request_timeout)
response_json = response.json()
if response.status_code != 200:
raise OpenAIError(status_code=response.status_code, message=response.text)
## LOGGING
logging_obj.post_call(
input=prompt,
api_key=api_key,
original_response=response,
additional_args={
"headers": headers,
"api_base": api_base,
},
)
## RESPONSE OBJECT
return self.convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
## RESPONSE OBJECT
return self.convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
except Exception as e:
raise e
def streaming(self,
logging_obj,
@ -687,9 +690,12 @@ class OpenAITextCompletion(BaseLLM):
method="POST",
timeout=litellm.request_timeout
) as response:
if response.status_code != 200:
raise OpenAIError(status_code=response.status_code, message=response.text)
streamwrapper = CustomStreamWrapper(completion_stream=response.aiter_lines(), model=model, custom_llm_provider="text-completion-openai",logging_obj=logging_obj)
async for transformed_chunk in streamwrapper:
yield transformed_chunk
try:
if response.status_code != 200:
raise OpenAIError(status_code=response.status_code, message=response.text)
streamwrapper = CustomStreamWrapper(completion_stream=response.aiter_lines(), model=model, custom_llm_provider="text-completion-openai",logging_obj=logging_obj)
async for transformed_chunk in streamwrapper:
yield transformed_chunk
except Exception as e:
raise e