mirror of
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116 lines
No EOL
3.9 KiB
Python
116 lines
No EOL
3.9 KiB
Python
# #### What this tests ####
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# # This profiles a router call to find where calls are taking the most time.
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# import sys, os, time, logging
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# import traceback, asyncio, uuid
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# import pytest
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# import cProfile
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# from pstats import Stats
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# sys.path.insert(
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# 0, os.path.abspath("../..")
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# ) # Adds the parent directory to the system path
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# import litellm
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# from litellm import Router
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# from concurrent.futures import ThreadPoolExecutor
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# from dotenv import load_dotenv
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# from aiodebug import log_slow_callbacks # Import the aiodebug utility for logging slow callbacks
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# load_dotenv()
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# logging.basicConfig(
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# level=logging.DEBUG,
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# format='%(asctime)s %(levelname)s: %(message)s',
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# datefmt='%I:%M:%S %p',
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# filename='aiologs.log', # Name of the log file where logs will be written
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# filemode='w' # 'w' to overwrite the log file on each run, use 'a' to append
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# )
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# model_list = [{
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# "model_name": "azure-model",
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# "litellm_params": {
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# "model": "azure/gpt-turbo",
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# "api_key": "os.environ/AZURE_FRANCE_API_KEY",
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# "api_base": "https://openai-france-1234.openai.azure.com",
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# "rpm": 1440,
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# }
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# }, {
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# "model_name": "azure-model",
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# "litellm_params": {
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# "model": "azure/gpt-35-turbo",
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# "api_key": "os.environ/AZURE_EUROPE_API_KEY",
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# "api_base": "https://my-endpoint-europe-berri-992.openai.azure.com",
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# "rpm": 6
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# }
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# }, {
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# "model_name": "azure-model",
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# "litellm_params": {
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# "model": "azure/gpt-35-turbo",
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# "api_key": "os.environ/AZURE_CANADA_API_KEY",
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# "api_base": "https://my-endpoint-canada-berri992.openai.azure.com",
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# "rpm": 6
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# }
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# }]
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# router = Router(model_list=model_list, set_verbose=False, num_retries=3)
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# async def router_completion():
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# try:
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# messages=[{"role": "user", "content": f"This is a test: {uuid.uuid4()}"}]
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# response = await router.acompletion(model="azure-model", messages=messages)
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# return response
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# except asyncio.exceptions.CancelledError:
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# print("Task was cancelled")
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# return None
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# except Exception as e:
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# return None
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# async def loadtest_fn(n = 1000):
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# start = time.time()
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# tasks = [router_completion() for _ in range(n)]
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# chat_completions = await asyncio.gather(*tasks)
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# successful_completions = [c for c in chat_completions if c is not None]
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# print(n, time.time() - start, len(successful_completions))
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# # loop = asyncio.get_event_loop()
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# # loop.set_debug(True)
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# # log_slow_callbacks.enable(0.05) # Log callbacks slower than 0.05 seconds
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# # # Excute the load testing function within the asyncio event loop
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# # loop.run_until_complete(loadtest_fn())
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# ### SUSTAINED LOAD TESTS ###
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# import time, asyncio
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# async def make_requests(n):
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# tasks = [router_completion() for _ in range(n)]
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# print(f"num tasks: {len(tasks)}")
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# chat_completions = await asyncio.gather(*tasks)
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# successful_completions = [c for c in chat_completions if c is not None]
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# print(f"successful_completions: {len(successful_completions)}")
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# return successful_completions
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# async def main():
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# start_time = time.time()
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# total_successful_requests = 0
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# request_limit = 1000
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# batches = 2 # batches of 1k requests
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# start = time.time()
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# tasks = [] # list to hold all tasks
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# async def request_loop():
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# nonlocal tasks
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# for _ in range(batches):
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# # Make 1,000 requests
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# task = asyncio.create_task(make_requests(request_limit))
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# tasks.append(task)
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# # Introduce a delay to achieve 1,000 requests per second
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# await asyncio.sleep(1)
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# await request_loop()
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# results = await asyncio.gather(*tasks)
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# total_successful_requests = sum(len(res) for res in results)
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# print(request_limit*batches, time.time() - start, total_successful_requests)
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# asyncio.run(main()) |