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import time, asyncio
from openai import AsyncOpenAI
import uuid
import traceback
litellm_client = AsyncOpenAI(base_url="http://0.0.0.0:8000", api_key="any")
async def litellm_completion():
# Your existing code for litellm_completion goes here
try:
response = await litellm_client.chat.completions.create(
model="Azure OpenAI GPT-4 Canada-East (External)",
stream=True,
messages=[{"role": "user", "content": f"This is a test: {uuid.uuid4()}"}],
)
async for chunk in response:
print(chunk)
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():
for i in range(1000000):
start = time.time()
n = 1000 # 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))
time.sleep(10)
if __name__ == "__main__":
# Blank out contents of error_log.txt
open("error_log.txt", "w").close()
asyncio.run(main())
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