mirror of
https://github.com/tiennm99/litellm.git
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131 lines
4.3 KiB
Python
131 lines
4.3 KiB
Python
import ast
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import os
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import sys
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from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
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import asyncio
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import aiohttp
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import base64
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import time
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from typing import Tuple
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import statistics
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async def asyncify(func, *args, **kwargs):
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return await asyncio.to_thread(func, *args, **kwargs)
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def get_image_details(image_url) -> Tuple[str, str]:
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try:
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client = HTTPHandler(concurrent_limit=1)
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response = client.get(image_url)
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response.raise_for_status()
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content_type = response.headers.get("content-type")
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if not content_type or "image" not in content_type:
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raise ValueError(
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f"URL does not point to a valid image (content-type: {content_type})"
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)
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base64_bytes = base64.b64encode(response.content).decode("utf-8")
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return base64_bytes, content_type
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except Exception as e:
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raise e
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async def get_image_details_async(image_url) -> Tuple[str, str]:
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try:
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client = AsyncHTTPHandler(concurrent_limit=1)
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response = await client.get(image_url)
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response.raise_for_status()
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content_type = response.headers.get("content-type")
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if not content_type or "image" not in content_type:
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raise ValueError(
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f"URL does not point to a valid image (content-type: {content_type})"
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)
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base64_bytes = base64.b64encode(response.content).decode("utf-8")
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return base64_bytes, content_type
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except Exception as e:
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raise e
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async def get_image_details_aio(image_url) -> Tuple[str, str]:
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(image_url) as response:
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response.raise_for_status()
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content_type = response.headers.get("content-type")
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if not content_type or "image" not in content_type:
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raise ValueError(
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f"URL does not point to a valid image (content-type: {content_type})"
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)
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content = await response.read()
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base64_bytes = base64.b64encode(content).decode("utf-8")
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return base64_bytes, content_type
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except Exception as e:
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raise e
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async def test_asyncified(urls: list[str], iterations: int = 3) -> list[float]:
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times = []
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for _ in range(iterations):
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start = time.perf_counter()
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await asyncio.gather(*[asyncify(get_image_details, url) for url in urls])
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times.append(time.perf_counter() - start)
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return times
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async def test_async_httpx(urls: list[str], iterations: int = 3) -> list[float]:
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times = []
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for _ in range(iterations):
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start = time.perf_counter()
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await asyncio.gather(*[get_image_details_async(url) for url in urls])
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times.append(time.perf_counter() - start)
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return times
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async def test_aiohttp(urls: list[str], iterations: int = 3) -> list[float]:
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times = []
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for _ in range(iterations):
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start = time.perf_counter()
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await asyncio.gather(*[get_image_details_aio(url) for url in urls])
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times.append(time.perf_counter() - start)
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return times
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async def run_comparison():
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urls = [
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"https://awsmp-logos.s3.amazonaws.com/seller-xw5kijmvmzasy/c233c9ade2ccb5491072ae232c814942.png"
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] * 150
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print("Testing asyncified version...")
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asyncified_times = await test_asyncified(urls)
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print("Testing async httpx version...")
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async_httpx_times = await test_async_httpx(urls)
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print("Testing aiohttp version...")
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aiohttp_times = await test_aiohttp(urls)
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print("\nResults:")
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print(
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f"Asyncified version - Mean: {statistics.mean(asyncified_times):.3f}s, Std: {statistics.stdev(asyncified_times):.3f}s"
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)
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print(
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f"Async HTTPX version - Mean: {statistics.mean(async_httpx_times):.3f}s, Std: {statistics.stdev(async_httpx_times):.3f}s"
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)
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print(
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f"Aiohttp version - Mean: {statistics.mean(aiohttp_times):.3f}s, Std: {statistics.stdev(aiohttp_times):.3f}s"
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)
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print(
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f"Speed improvement over asyncified: {statistics.mean(asyncified_times)/statistics.mean(aiohttp_times):.2f}x"
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)
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print(
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f"Speed improvement over async httpx: {statistics.mean(async_httpx_times)/statistics.mean(aiohttp_times):.2f}x"
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)
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if __name__ == "__main__":
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asyncio.run(run_comparison())
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