mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 18:54:30 +00:00
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
import time, asyncio
|
|
from openai import AsyncOpenAI
|
|
import uuid
|
|
import traceback
|
|
|
|
|
|
litellm_client = AsyncOpenAI(
|
|
api_key="test",
|
|
base_url="http://0.0.0.0:8000"
|
|
)
|
|
|
|
|
|
|
|
async def litellm_completion():
|
|
# Your existing code for litellm_completion goes here
|
|
try:
|
|
print("starting embedding calls")
|
|
response = await litellm_client.embeddings.create(
|
|
model="text-embedding-ada-002",
|
|
input = [
|
|
"hello who are you" * 2000,
|
|
"hello who are you tomorrow 1234" * 1000,
|
|
"hello who are you tomorrow 1234" * 1000
|
|
]
|
|
)
|
|
print(response)
|
|
return response
|
|
|
|
except Exception as e:
|
|
# If there's an exception, log the error message
|
|
with open("error_log.txt", "a") as error_log:
|
|
error_log.write(f"Error during completion: {str(e)}\n")
|
|
pass
|
|
|
|
|
|
|
|
async def main():
|
|
start = time.time()
|
|
n = 10 # Number of concurrent tasks
|
|
tasks = [litellm_completion() for _ in range(n)]
|
|
|
|
chat_completions = await asyncio.gather(*tasks)
|
|
|
|
successful_completions = [c for c in chat_completions if c is not None]
|
|
|
|
# Write errors to error_log.txt
|
|
with open("error_log.txt", "a") as error_log:
|
|
for completion in chat_completions:
|
|
if isinstance(completion, str):
|
|
error_log.write(completion + "\n")
|
|
|
|
print(n, time.time() - start, len(successful_completions))
|
|
|
|
if __name__ == "__main__":
|
|
# Blank out contents of error_log.txt
|
|
open("error_log.txt", "w").close()
|
|
|
|
asyncio.run(main())
|