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test: cleanup testing

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This commit is contained in:
Krrish Dholakia 2023-11-15 17:57:06 -08:00
parent a48445c11c
commit a3d280baa3
3 changed files with 79 additions and 83 deletions
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29
litellm/llms/openai.py
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@ -265,17 +265,15 @@ class OpenAIChatCompletion(BaseLLM):
data: dict, headers: dict,
model_response: ModelResponse):
kwargs = locals()
if self._aclient_session is None:
self._aclient_session = self.create_aclient_session()
client = self._aclient_session
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, request=response.request, response=response)
## RESPONSE OBJECT
return convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
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, request=response.request, response=response)
## RESPONSE OBJECT
return convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
except Exception as e:
if isinstance(e, httpx.TimeoutException):
raise OpenAIError(status_code=500, message="Request Timeout Error")
@ -292,9 +290,7 @@ class OpenAIChatCompletion(BaseLLM):
model_response: ModelResponse,
model: str
):
if self._client_session is None:
self._client_session = self.create_client_session()
with self._client_session.stream(
with httpx.stream(
url=f"{api_base}", # type: ignore
json=data,
headers=headers,
@ -316,9 +312,8 @@ class OpenAIChatCompletion(BaseLLM):
headers: dict,
model_response: ModelResponse,
model: str):
if self._aclient_session is None:
self._aclient_session = self.create_aclient_session()
async with self._aclient_session.stream(
client = httpx.AsyncClient()
async with client.stream(
url=f"{api_base}",
json=data,
headers=headers,
@ -361,7 +356,7 @@ class OpenAIChatCompletion(BaseLLM):
additional_args={"complete_input_dict": data},
)
## COMPLETION CALL
response = self._client_session.post(
response = httpx.post(
api_base, headers=headers, json=data, timeout=litellm.request_timeout
)
## LOGGING