phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-25 18:54:30 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

feat(utils.py): accept context window fallback dictionary

Browse source
This commit is contained in:
Krrish Dholakia 2023-10-31 22:32:29 -07:00
parent 2f6fed30ad
commit 7762ae7762
4 changed files with 32 additions and 12 deletions
Download patch file Download diff file Expand all files Collapse all files

17
litellm/utils.py
View file

@ -824,6 +824,23 @@ def client(original_function):
result._response_ms = (end_time - start_time).total_seconds() * 1000 # return response latency in ms like openai
return result
except Exception as e:
call_type = original_function.__name__
if call_type == CallTypes.completion.value:
num_retries = kwargs.get("num_retries", None)
context_window_fallback_dict = kwargs.get("context_window_fallback_dict", {})
if num_retries:
if (isinstance(e, openai.error.APIError)
or isinstance(e, openai.error.Timeout)
or isinstance(e, openai.error.ServiceUnavailableError)):
kwargs["num_retries"] = num_retries
return litellm.completion_with_retries(*args, **kwargs)
elif isinstance(e, litellm.exceptions.ContextWindowExceededError) and context_window_fallback_dict and model in context_window_fallback_dict:
if len(args) > 0:
args[0] = context_window_fallback_dict[model]
else:
kwargs["model"] = context_window_fallback_dict[model]
return original_function(*args, **kwargs)
traceback_exception = traceback.format_exc()
crash_reporting(*args, **kwargs, exception=traceback_exception)
end_time = datetime.datetime.now()