refactor(proxy): make scheduled job shutdown timeouts configurable via env

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
yucheng 2026-09-21 19:35:29 +00:00
parent 29bd2ceb2b
commit 9c411dd6f2
3 changed files with 24 additions and 16 deletions

View file

@ -1742,6 +1742,8 @@ SPEND_LOG_CLEANUP_BATCH_FAILURE_BACKOFF_SECONDS: Final = float(
SPEND_LOG_CLEANUP_RUN_BUDGET_SECONDS: Final = float(os.getenv("SPEND_LOG_CLEANUP_RUN_BUDGET_SECONDS", "300"))
SPEND_LOG_CLEANUP_BATCH_TIMEOUT_SECONDS: Final = float(os.getenv("SPEND_LOG_CLEANUP_BATCH_TIMEOUT_SECONDS", "30"))
SPEND_LOG_CLEANUP_REMAINING_COUNT_CAP: Final = int(os.getenv("SPEND_LOG_CLEANUP_REMAINING_COUNT_CAP", "100000"))
SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS: Final = float(os.getenv("SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS", "5"))
SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS: Final = float(os.getenv("SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS", "5"))
TOOL_SPEND_TOP_TOOLS: Final = 100
SPEND_LOG_PARTITION_INTERVAL: Final = os.getenv("SPEND_LOG_PARTITION_INTERVAL", "day")
SPEND_LOG_PARTITION_PRECREATE_AHEAD: Final = int(os.getenv("SPEND_LOG_PARTITION_PRECREATE_AHEAD", 7))

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@ -7,9 +7,10 @@ from typing import Final, Protocol
from apscheduler.executors.asyncio import AsyncIOExecutor
from litellm._logging import verbose_proxy_logger
JOB_FINISH_TIMEOUT_SECONDS: Final = 5.0
JOB_CANCEL_TIMEOUT_SECONDS: Final = 5.0
from litellm.constants import (
SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS,
SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS,
)
class StoppableScheduler(Protocol):
@ -41,8 +42,8 @@ def pause_scheduled_jobs(scheduler: StoppableScheduler) -> None:
async def stop_in_flight_scheduler_jobs(scheduler: StoppableScheduler, executor: AwaitableAsyncIOExecutor) -> None:
"""
Let in-flight jobs finish for up to JOB_FINISH_TIMEOUT_SECONDS, then stop the scheduler and
wait, bounded by JOB_CANCEL_TIMEOUT_SECONDS, for the jobs it cancels.
Let in-flight jobs finish for up to SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS, then stop the scheduler and
wait, bounded by SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS, for the jobs it cancels.
Must run before the database is disconnected: a write job that finishes needs its connection,
and a job's cancellation handler is what records the run's outcome.
@ -52,19 +53,23 @@ async def stop_in_flight_scheduler_jobs(scheduler: StoppableScheduler, executor:
in_flight: Final = executor.in_flight_jobs()
if in_flight:
verbose_proxy_logger.info(
"Waiting up to %ss for %d in-flight scheduled job(s) to finish", JOB_FINISH_TIMEOUT_SECONDS, len(in_flight)
"Waiting up to %ss for %d in-flight scheduled job(s) to finish",
SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS,
len(in_flight),
)
still_running: Final = (
(await asyncio.wait(in_flight, timeout=JOB_FINISH_TIMEOUT_SECONDS))[1] if in_flight else frozenset()
(await asyncio.wait(in_flight, timeout=SCHEDULED_JOB_SHUTDOWN_FINISH_TIMEOUT_SECONDS))[1]
if in_flight
else frozenset()
)
scheduler.shutdown(wait=False)
if not still_running:
return
verbose_proxy_logger.info("Cancelling %d in-flight scheduled job(s) for shutdown", len(still_running))
_done, pending = await asyncio.wait(still_running, timeout=JOB_CANCEL_TIMEOUT_SECONDS)
_done, pending = await asyncio.wait(still_running, timeout=SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS)
if pending:
verbose_proxy_logger.warning(
"%d scheduled job(s) did not finish within %ss of cancellation; giving up on them",
len(pending),
JOB_CANCEL_TIMEOUT_SECONDS,
SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS,
)

View file

@ -7,11 +7,11 @@ from datetime import datetime, timedelta
import pytest
from apscheduler.schedulers.asyncio import AsyncIOScheduler
import litellm.proxy.shutdown.scheduled_jobs as scheduled_jobs
from litellm.constants import SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS
from litellm.proxy.shutdown.scheduled_jobs import (
AwaitableAsyncIOExecutor,
stop_in_flight_scheduler_jobs,
pause_scheduled_jobs,
stop_in_flight_scheduler_jobs,
)
@ -75,9 +75,8 @@ async def test_in_flight_jobs_observe_cancellation_before_shutdown_returns():
@pytest.mark.asyncio
async def test_a_job_that_is_finishing_is_allowed_to_finish_rather_than_cancelled(monkeypatch):
async def test_a_job_that_is_finishing_is_allowed_to_finish_rather_than_cancelled():
"""A spend write cancelled mid-commit drops the rows it popped, so short jobs get to finish first"""
monkeypatch.setattr(scheduled_jobs, "JOB_FINISH_TIMEOUT_SECONDS", 2.0)
write = _Job(work_seconds=0.2)
stuck = _Job()
async with _running_scheduler(write, stuck) as (scheduler, executor):
@ -99,16 +98,18 @@ async def test_every_in_flight_job_is_cancelled_not_only_the_first():
@pytest.mark.asyncio
async def test_a_job_that_ignores_cancellation_is_abandoned_after_the_timeout(monkeypatch, caplog):
async def test_a_job_that_ignores_cancellation_is_abandoned_after_the_timeout(caplog):
"""A job that swallows CancelledError must not hold the pod past its termination grace period"""
monkeypatch.setattr(scheduled_jobs, "JOB_CANCEL_TIMEOUT_SECONDS", 0.05)
job = _Job(swallow_cancellation=True)
async with _running_scheduler(job) as (scheduler, executor):
with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
await stop_in_flight_scheduler_jobs(scheduler, executor)
assert job.events == ["cancelled"]
assert "1 scheduled job(s) did not finish within 0.05s of cancellation" in caplog.text
assert (
f"1 scheduled job(s) did not finish within {SCHEDULED_JOB_SHUTDOWN_CANCEL_TIMEOUT_SECONDS}s of cancellation"
in caplog.text
)
@pytest.mark.asyncio