forked from phoenix/litellm-mirror
d57be47b0f
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
import time
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import asyncio
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import os
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from openai import AsyncOpenAI, AsyncAzureOpenAI
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import uuid
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import traceback
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from large_text import text
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from dotenv import load_dotenv
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from statistics import mean, median
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litellm_client = AsyncOpenAI(base_url="http://0.0.0.0:4000/", api_key="sk-1234")
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async def litellm_completion():
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try:
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start_time = time.time()
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response = await litellm_client.chat.completions.create(
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model="fake-openai-endpoint",
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messages=[
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{
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"role": "user",
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"content": f"This is a test{uuid.uuid4()}",
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}
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],
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user="my-new-end-user-1",
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)
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end_time = time.time()
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latency = end_time - start_time
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print("response time=", latency)
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return response, latency
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except Exception as e:
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with open("error_log.txt", "a") as error_log:
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error_log.write(f"Error during completion: {str(e)}\n")
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return None, 0
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async def main():
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latencies = []
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for i in range(5):
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start = time.time()
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n = 100 # Number of concurrent tasks
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tasks = [litellm_completion() for _ in range(n)]
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chat_completions = await asyncio.gather(*tasks)
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successful_completions = [c for c, l in chat_completions if c is not None]
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completion_latencies = [l for c, l in chat_completions if c is not None]
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latencies.extend(completion_latencies)
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with open("error_log.txt", "a") as error_log:
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for completion, latency in chat_completions:
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if isinstance(completion, str):
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error_log.write(completion + "\n")
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print(n, time.time() - start, len(successful_completions))
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if latencies:
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average_latency = mean(latencies)
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median_latency = median(latencies)
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print(f"Average Latency per Response: {average_latency} seconds")
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print(f"Median Latency per Response: {median_latency} seconds")
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if __name__ == "__main__":
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open("error_log.txt", "w").close()
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asyncio.run(main())
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