AlexZhao 8820821b59
[Misc] Fixed the abnormally high TTFT issue in the PD disaggregation example (#18644)
Signed-off-by: zhaohaidao <zhaohaidao2008@hotmail.com>
Signed-off-by: zhaohaiyuan <zhaohaiyuan@xiaohongshu.com>
Co-authored-by: zhaohaiyuan <zhaohaiyuan@xiaohongshu.com>
2025-05-26 13:51:27 +08:00

194 lines
6.2 KiB
Python

# SPDX-License-Identifier: Apache-2.0
import argparse
import os
import time
from contextlib import asynccontextmanager
import httpx
import numpy as np
from fastapi import FastAPI, Request
from fastapi.responses import StreamingResponse
@asynccontextmanager
async def lifespan(app: FastAPI):
"""
Lifespan context manager to handle startup and shutdown events.
"""
# Startup: Initialize clients
prefiller_base_url = f'http://{global_args.prefiller_host}:{global_args.prefiller_port}/v1'
decoder_base_url = f'http://{global_args.decoder_host}:{global_args.decoder_port}/v1'
app.state.prefill_client = httpx.AsyncClient(timeout=None,
base_url=prefiller_base_url)
app.state.decode_client = httpx.AsyncClient(timeout=None,
base_url=decoder_base_url)
yield
# Shutdown: Close clients
await app.state.prefill_client.aclose()
await app.state.decode_client.aclose()
# Update FastAPI app initialization to use lifespan
app = FastAPI(lifespan=lifespan)
class StatsCalculator:
def __init__(self):
self._stats = []
self._last_log_time = time.time()
def add(self, value):
self._stats.append(value)
if time.time() - self._last_log_time > 5:
self._log_stats()
self._last_log_time = time.time()
def _log_stats(self):
# Print average, median, and 99th percentile
np_arr = np.array(self._stats)
output_str = f"\nNum requests: {len(self._stats)}" + \
"\nPrefill node TTFT stats:" + \
f"\n - Average (ms): {np.mean(np_arr)}" + \
f"\n - Median (ms): {np.median(np_arr)}" + \
f"\n - 99th Percentile (ms): {np.percentile(np_arr, 99)}\n"
print("===============================", output_str,
"===============================")
stats_calculator = StatsCalculator()
counter = 0
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=8000)
parser.add_argument("--host", type=str, default="localhost")
parser.add_argument("--prefiller-host", type=str, default="localhost")
parser.add_argument("--prefiller-port", type=int, default=8100)
parser.add_argument("--decoder-host", type=str, default="localhost")
parser.add_argument("--decoder-port", type=int, default=8200)
args = parser.parse_args()
return args
# Initialize variables to hold the persistent clients
app.state.prefill_client = None
app.state.decode_client = None
async def send_request_to_service(client: httpx.AsyncClient, endpoint: str,
req_data: dict):
"""
Send a request to a service using a persistent client.
"""
req_data = req_data.copy()
req_data['max_tokens'] = 1
if 'max_completion_tokens' in req_data:
req_data['max_completion_tokens'] = 1
headers = {"Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}"}
response = await client.post(endpoint, json=req_data, headers=headers)
response.raise_for_status()
return response
async def stream_service_response(client: httpx.AsyncClient, endpoint: str,
req_data: dict):
"""
Asynchronously stream the response from a service using a persistent client.
"""
headers = {"Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}"}
async with client.stream("POST", endpoint, json=req_data,
headers=headers) as response:
response.raise_for_status()
async for chunk in response.aiter_bytes():
yield chunk
@app.post("/v1/completions")
async def handle_completions(request: Request):
global counter, stats_calculator
counter += 1
st = time.time()
try:
req_data = await request.json()
# Send request to prefill service, ignore the response
await send_request_to_service(app.state.prefill_client, "/completions",
req_data)
et = time.time()
stats_calculator.add(et - st)
# Stream response from decode service
async def generate_stream():
async for chunk in stream_service_response(app.state.decode_client,
"/completions",
req_data):
yield chunk
return StreamingResponse(generate_stream(),
media_type="text/event-stream")
except Exception as e:
import sys
import traceback
exc_info = sys.exc_info()
print("Error occurred in disagg prefill proxy server"
" - completions endpoint")
print(e)
print("".join(traceback.format_exception(*exc_info)))
raise
@app.post("/v1/chat/completions")
async def handle_chat_completions(request: Request):
global counter, stats_calculator
counter += 1
st = time.time()
try:
req_data = await request.json()
# Send request to prefill service, ignore the response
await send_request_to_service(app.state.prefill_client,
"/chat/completions", req_data)
et = time.time()
stats_calculator.add(et - st)
# Stream response from decode service
async def generate_stream():
async for chunk in stream_service_response(app.state.decode_client,
"/chat/completions",
req_data):
yield chunk
return StreamingResponse(generate_stream(),
media_type="text/event-stream")
except Exception as e:
import sys
import traceback
exc_info = sys.exc_info()
print("Error occurred in disagg prefill proxy server "
" - chat completions endpoint")
print(e)
print("".join(traceback.format_exception(*exc_info)))
raise
if __name__ == '__main__':
global global_args
global_args = parse_args()
import uvicorn
uvicorn.run(app, host=global_args.host, port=global_args.port)