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

all fixes to linting

Browse source
This commit is contained in:
ishaan-jaff 2023-08-18 11:56:44 -07:00
parent 5e7d22512d
commit 1bb2aefea1
8 changed files with 44 additions and 34 deletions
Download patch file Download diff file Expand all files Collapse all files

8
litellm/main.py
View file

@ -4,7 +4,7 @@ from functools import partial
import dotenv, traceback, random, asyncio, time
from copy import deepcopy
import litellm
from litellm import (
from litellm import ( # type: ignore
client,
logging,
exception_type,
@ -55,7 +55,7 @@ async def acompletion(*args, **kwargs):
@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`
@timeout(
@timeout( # type: ignore
600
) ## set timeouts, in case calls hang (e.g. Azure) - default is 60s, override with `force_timeout`
def completion(
@ -266,7 +266,7 @@ def completion(
or litellm.replicate_key
)
# set replicate key
os.environ["REPLICATE_API_TOKEN"]: str = replicate_key
os.environ["REPLICATE_API_TOKEN"] = str(replicate_key)
prompt = " ".join([message["content"] for message in messages])
input = {"prompt": prompt}
if "max_tokens" in optional_params:
@ -807,7 +807,7 @@ def batch_completion(*args, **kwargs):
### EMBEDDING ENDPOINTS ####################
@client
@timeout(
@timeout( # type: ignore
60
) ## set timeouts, in case calls hang (e.g. Azure) - default is 60s, override with `force_timeout`
def embedding(model, input=[], azure=False, force_timeout=60, logger_fn=None):