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[Frontend] Improve Startup Failure UX #7716

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29 changes: 16 additions & 13 deletions tests/entrypoints/openai/test_mp_api_server.py
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import time

import pytest

from vllm.entrypoints.openai.api_server import build_async_engine_client
Expand All @@ -8,19 +10,20 @@
@pytest.mark.asyncio
async def test_mp_crash_detection():

with pytest.raises(RuntimeError) as excinfo:
parser = FlexibleArgumentParser(
description="vLLM's remote OpenAI server.")
parser = make_arg_parser(parser)
args = parser.parse_args([])
# use an invalid tensor_parallel_size to trigger the
# error in the server
args.tensor_parallel_size = 65536

async with build_async_engine_client(args):
pass
assert "The server process died before responding to the readiness probe"\
in str(excinfo.value)
parser = FlexibleArgumentParser(description="vLLM's remote OpenAI server.")
parser = make_arg_parser(parser)
args = parser.parse_args([])
# use an invalid tensor_parallel_size to trigger the
# error in the server
args.tensor_parallel_size = 65536

start = time.perf_counter()
async with build_async_engine_client(args):
pass
end = time.perf_counter()

assert end - start < 60, ("Expected vLLM to gracefully shutdown in <60s "
"if there is an error in the startup.")


@pytest.mark.asyncio
Expand Down
27 changes: 21 additions & 6 deletions vllm/entrypoints/openai/api_server.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
from argparse import Namespace
from contextlib import asynccontextmanager
from http import HTTPStatus
from typing import AsyncIterator, Set
from typing import AsyncIterator, Optional, Set

from fastapi import APIRouter, FastAPI, Request
from fastapi.exceptions import RequestValidationError
Expand Down Expand Up @@ -60,6 +60,7 @@
openai_serving_tokenization: OpenAIServingTokenization
prometheus_multiproc_dir: tempfile.TemporaryDirectory

# Cannot use __name__ (https://github.com/vllm-project/vllm/pull/4765)
logger = init_logger('vllm.entrypoints.openai.api_server')

_running_tasks: Set[asyncio.Task] = set()
Expand Down Expand Up @@ -94,7 +95,15 @@ async def _force_log():

@asynccontextmanager
async def build_async_engine_client(
args: Namespace) -> AsyncIterator[AsyncEngineClient]:
args: Namespace) -> AsyncIterator[Optional[AsyncEngineClient]]:
"""
Create AsyncEngineClient, either:
- in-process using the AsyncLLMEngine Directly
- multiprocess using AsyncLLMEngine RPC

Returns the Client or None if the creation failed.
"""

# Context manager to handle async_engine_client lifecycle
# Ensures everything is shutdown and cleaned up on error/exit
global engine_args
Expand Down Expand Up @@ -157,11 +166,13 @@ async def build_async_engine_client(
try:
await rpc_client.setup()
break
except TimeoutError as e:
except TimeoutError:
if not rpc_server_process.is_alive():
raise RuntimeError(
"The server process died before "
"responding to the readiness probe") from e
logger.error(
"RPCServer process died before responding "
"to readiness probe")
yield None
return

yield async_engine_client
finally:
Expand Down Expand Up @@ -410,6 +421,10 @@ async def run_server(args, **uvicorn_kwargs) -> None:
logger.info("args: %s", args)

async with build_async_engine_client(args) as async_engine_client:
# If None, creation of the client failed and we exit.
if async_engine_client is None:
return

app = await init_app(async_engine_client, args)

shutdown_task = await serve_http(
Expand Down
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