forked from phoenix/litellm-mirror
152 lines
5.2 KiB
Python
152 lines
5.2 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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# # litellm.telemetry = False
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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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# # Dictionary to store exception types and their counts
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# exception_counts = {}
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# exception_data = []
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# litellm.telemetry = False
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# num_task_cancelled_errors = 0
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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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# global num_task_cancelled_errors, exception_counts
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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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# exception_type = "CancelledError"
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# exception_counts[exception_type] = exception_counts.get(exception_type, 0) + 1
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# print("Task was cancelled")
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# num_task_cancelled_errors += 1
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# exception_data.append({
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# "type": exception_type,
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# "traceback": None
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# })
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# return None
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# except Exception as e:
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# exception_type = type(e).__name__
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# exception_counts[exception_type] = exception_counts.get(exception_type, 0) + 1
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# exception_data.append({
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# "type": exception_type,
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# "traceback": traceback.format_exc()
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# })
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# return None
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# async def loadtest_fn(n = 1452):
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# global num_task_cancelled_errors, exception_counts
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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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# # Print exception breakdown
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# print("Exception Breakdown:")
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# for exception_type, count in exception_counts.items():
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# print(f"{exception_type}: {count}")
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# # Store exception_data in a file
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# with open('exception_data.txt', 'w') as file:
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# for data in exception_data:
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# file.write(f"Type: {data['type']}\n")
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# if data['traceback']:
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# file.write(f"Traceback:\n{data['traceback']}\n\n")
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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())
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