mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-26 11:14:04 +00:00
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
import time, asyncio, os
|
|
from openai import AsyncOpenAI, AsyncAzureOpenAI
|
|
import uuid
|
|
import traceback
|
|
from large_text import text
|
|
from dotenv import load_dotenv
|
|
|
|
load_dotenv()
|
|
litellm_client = AsyncOpenAI(
|
|
base_url="http://0.0.0.0:4000",
|
|
api_key="sk-VEbqnb28-zDsFzQWTmiCsw",
|
|
# base_url="http://0.0.0.0:4000",
|
|
# api_key="sk-1234",
|
|
)
|
|
|
|
# litellm_client = AsyncAzureOpenAI(
|
|
# azure_endpoint="https://openai-gpt-4-test-v-1.openai.azure.com",
|
|
# api_key="d6f82361954b450188295b448e2091ca",
|
|
# api_version="2023-07-01-preview",
|
|
# )
|
|
|
|
|
|
async def litellm_completion():
|
|
# Your existing code for litellm_completion goes here
|
|
try:
|
|
response = await litellm_client.chat.completions.create(
|
|
model="fake_openai",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": f"{text}. Who was alexander the great? {uuid.uuid4()}",
|
|
}
|
|
],
|
|
)
|
|
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(6):
|
|
start = time.time()
|
|
n = 100 # 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())
|