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This commit is contained in:
Krrish Dholakia 2023-08-03 16:31:01 -07:00
parent b5408b08e5
commit 55e670dca2
10 changed files with 63 additions and 29 deletions
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7
litellm/main.py
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@ -74,7 +74,7 @@ async def acompletion(*args, **kwargs):
return await loop.run_in_executor(None, func)
@client
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(2), reraise=True, retry_error_callback=lambda retry_state: setattr(retry_state.outcome, 'retry_variable', litellm.retry)) # retry call, turn this off by setting `litellm.retry = False`
# @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(2), reraise=True, retry_error_callback=lambda retry_state: setattr(retry_state.outcome, 'retry_variable', litellm.retry)) # retry call, turn this off by setting `litellm.retry = False`
@timeout(60) ## set timeouts, in case calls hang (e.g. Azure) - default is 60s, override with `force_timeout`
def completion(
model, messages, # required params
@ -255,8 +255,8 @@ def completion(
elif model in litellm.cohere_models:
if api_key:
cohere_key = api_key
elif litellm.api_key:
cohere_key = litellm.api_key
elif litellm.cohere_key:
cohere_key = litellm.cohere_key
else:
cohere_key = os.environ.get("COHERE_API_KEY")
co = cohere.Client(cohere_key)
@ -330,6 +330,7 @@ def embedding(model, input=[], azure=False, force_timeout=60, logger_fn=None):
logging(model=model, input=input, azure=azure, logger_fn=logger_fn, exception=e)
## Map to OpenAI Exception
raise exception_type(model=model, original_exception=e)
raise e
####### HELPER FUNCTIONS ################
## Set verbose to true -> ```litellm.set_verbose = True```
def print_verbose(print_statement):