Refresh Redis TTL on counter writes and skip stale in-memory on Redis miss

This commit is contained in:
Michael Riad Zaky
2026-04-29 14:07:05 -07:00
parent 76e43b7bb2
commit 9f08db91f9
6 changed files with 165 additions and 22 deletions
+5 -6
View File
@@ -392,15 +392,13 @@ class DualCache(BaseCache):
value: float,
parent_otel_span: Optional[Span] = None,
local_only: bool = False,
refresh_ttl: bool = False,
**kwargs,
) -> Optional[float]:
"""
Key - the key in cache
Value - float - the value you want to increment by
Returns - the incremented value, or None if no cache backend is
available (in_memory_cache is None and Redis failed/is absent).
Increment counter in both caches. refresh_ttl bumps the Redis TTL
on every write (counter-style). Default preserves window-style
semantics (TTL set once on first write).
"""
result: Optional[float] = None
try:
@@ -415,6 +413,7 @@ class DualCache(BaseCache):
value,
parent_otel_span=parent_otel_span,
ttl=kwargs.get("ttl", None),
refresh_ttl=refresh_ttl,
)
return result
+6 -4
View File
@@ -824,6 +824,7 @@ class RedisCache(BaseCache):
value: float,
ttl: Optional[int] = None,
parent_otel_span: Optional[Span] = None,
refresh_ttl: bool = False,
) -> float:
from redis.asyncio import Redis
@@ -834,11 +835,12 @@ class RedisCache(BaseCache):
try:
result = await _redis_client.incrbyfloat(name=key, amount=value)
if _used_ttl is not None:
# check if key already has ttl, if not -> set ttl
current_ttl = await _redis_client.ttl(key)
if current_ttl == -1:
# Key has no expiration
if refresh_ttl:
await _redis_client.expire(key, _used_ttl)
else:
current_ttl = await _redis_client.ttl(key)
if current_ttl == -1:
await _redis_client.expire(key, _used_ttl)
## LOGGING ##
end_time = time.time()
+9 -5
View File
@@ -129,7 +129,9 @@ class SpendCounterReseed:
"""
lock = await SpendCounterReseed._get_lock(counter_key)
async with lock:
# Re-check after acquiring the lock - another waiter may have warmed it.
# Re-check after acquiring the lock. Skip in-memory on a clean
# Redis miss - in-memory is per-pod-stale.
redis_clean_miss = False
if spend_counter_cache.redis_cache is not None:
try:
val = await spend_counter_cache.redis_cache.async_get_cache(
@@ -137,11 +139,13 @@ class SpendCounterReseed:
)
if val is not None:
return float(val)
redis_clean_miss = True
except Exception:
pass
val = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
if val is not None:
return float(val)
if not redis_clean_miss:
val = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
if val is not None:
return float(val)
db_spend = await SpendCounterReseed.from_db(prisma_client, counter_key)
if db_spend is None:
@@ -149,7 +153,7 @@ class SpendCounterReseed:
# Warm even when 0 so subsequent reads hit cache, not DB.
try:
await spend_counter_cache.async_increment_cache(
key=counter_key, value=db_spend
key=counter_key, value=db_spend, refresh_ttl=True
)
except Exception:
verbose_proxy_logger.exception(
+14 -7
View File
@@ -1798,12 +1798,16 @@ async def get_current_spend(counter_key: str, fallback_spend: float) -> float:
3. Reseed from authoritative DB spend (counter expired, cross-pod stale)
4. Caller-supplied fallback (DB unavailable, cold start)
"""
# 1. Try Redis first (cross-pod authoritative)
# 1. Redis first (cross-pod authoritative). On clean miss, skip
# in-memory: per-pod in-memory only has this pod's writes, so it
# would mask cross-pod increments.
redis_clean_miss = False
if spend_counter_cache.redis_cache is not None:
try:
val = await spend_counter_cache.redis_cache.async_get_cache(key=counter_key)
if val is not None:
return float(val)
redis_clean_miss = True
except Exception as e:
verbose_proxy_logger.debug(
"get_current_spend: Redis read failed for %s, falling back to in-memory: %s",
@@ -1811,10 +1815,11 @@ async def get_current_spend(counter_key: str, fallback_spend: float) -> float:
e,
)
# 2. Fall back to in-memory counter (single-instance or Redis failure)
val = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
if val is not None:
return float(val)
# 2. In-memory only when Redis is unreachable.
if not redis_clean_miss:
val = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
if val is not None:
return float(val)
# 3. Reseed from DB - fallback_spend lags cross-pod, would allow bypass.
db_spend = await SpendCounterReseed.coalesced(
@@ -1976,10 +1981,12 @@ async def _init_and_increment_spend_counter(
base_spend = getattr(source, "spend", 0.0) or 0.0
if base_spend > 0:
await spend_counter_cache.async_increment_cache(
key=counter_key, value=base_spend
key=counter_key, value=base_spend, refresh_ttl=True
)
await spend_counter_cache.async_increment_cache(key=counter_key, value=increment)
await spend_counter_cache.async_increment_cache(
key=counter_key, value=increment, refresh_ttl=True
)
async def update_cache( # noqa: PLR0915
@@ -50,6 +50,50 @@ async def test_redis_cache_async_increment(namespace, monkeypatch, redis_no_ping
)
@pytest.mark.asyncio
async def test_redis_cache_async_increment_refresh_ttl_true_bumps_existing_ttl(
monkeypatch, redis_no_ping
):
"""With refresh_ttl=True, every increment should call expire() to bump
the TTL, even when the key already has a TTL (counter-style use)."""
monkeypatch.setenv("REDIS_HOST", "https://my-test-host")
redis_cache = RedisCache()
mock_redis_instance = AsyncMock()
mock_redis_instance.__aenter__.return_value = mock_redis_instance
mock_redis_instance.__aexit__.return_value = None
mock_redis_instance.ttl.return_value = 42 # key already has ~42s left
with patch.object(
redis_cache, "init_async_client", return_value=mock_redis_instance
):
await redis_cache.async_increment(
key="spend:team_member:u:t", value=0.05, refresh_ttl=True
)
mock_redis_instance.expire.assert_awaited_once_with("spend:team_member:u:t", 60)
@pytest.mark.asyncio
async def test_redis_cache_async_increment_default_does_not_bump_existing_ttl(
monkeypatch, redis_no_ping
):
"""Default (refresh_ttl=False) preserves window-style semantics: TTL is
set only on first creation, never refreshed (used by rate-limit windows)."""
monkeypatch.setenv("REDIS_HOST", "https://my-test-host")
redis_cache = RedisCache()
mock_redis_instance = AsyncMock()
mock_redis_instance.__aenter__.return_value = mock_redis_instance
mock_redis_instance.__aexit__.return_value = None
mock_redis_instance.ttl.return_value = 42 # key already has ~42s left
with patch.object(
redis_cache, "init_async_client", return_value=mock_redis_instance
):
await redis_cache.async_increment(key="rate_limit:window", value=1)
mock_redis_instance.expire.assert_not_awaited()
@pytest.mark.asyncio
async def test_redis_client_init_with_socket_timeout(monkeypatch, redis_no_ping):
monkeypatch.setenv("REDIS_HOST", "my-fake-host")
@@ -5750,3 +5750,90 @@ class TestLazyFeatureMiddleware:
assert attempts == [
"called"
], f"failing register_fn should be invoked once, not on every request; got {attempts}"
@pytest.mark.asyncio
async def test_get_current_spend_redis_clean_miss_skips_stale_in_memory():
"""When Redis is reachable and cleanly returns None (TTL expired,
counter genuinely absent), the read must reseed from DB - NOT fall
through to per-pod in-memory which only contains this pod's writes.
Pre-fix in multi-pod deployments, in-memory contained a stale local
subset (e.g. $30) while DB had the true cross-pod total ($500). The
fall-through returned $30, enforcement passed, bypass.
"""
from litellm.caching.dual_cache import DualCache
from litellm.proxy.proxy_server import get_current_spend
counter_cache = DualCache()
counter_key = "spend:team_member:user-1:team-1"
# Per-pod stale in-memory: only this pod's writes, not cross-pod truth.
counter_cache.in_memory_cache.set_cache(key=counter_key, value=30.0)
# Redis cleanly returns None (key expired or never written on this pod).
fake_redis = AsyncMock()
fake_redis.async_get_cache = AsyncMock(return_value=None)
fake_redis.async_increment = AsyncMock(return_value=500.0)
counter_cache.redis_cache = fake_redis
# DB has the authoritative cross-pod spend.
db_row = MagicMock()
db_row.spend = 500.0
fake_prisma = MagicMock()
fake_prisma.db.litellm_teammembership.find_unique = AsyncMock(return_value=db_row)
import litellm.proxy.proxy_server as ps
orig_counter, orig_prisma = ps.spend_counter_cache, ps.prisma_client
ps.spend_counter_cache = counter_cache
ps.prisma_client = fake_prisma
try:
spend = await get_current_spend(counter_key=counter_key, fallback_spend=0.0)
assert spend == 500.0, (
f"expected DB-authoritative 500.0 on clean Redis miss, got {spend} "
f"(stale per-pod in-memory $30 would have caused multi-pod bypass)"
)
finally:
ps.spend_counter_cache = orig_counter
ps.prisma_client = orig_prisma
@pytest.mark.asyncio
async def test_get_current_spend_redis_error_falls_back_to_in_memory():
"""When Redis raises, the read should still degrade to in-memory rather
than going straight to DB - in-memory is at least same-pod-fresh and
cheaper than a DB query during a Redis outage."""
from litellm.caching.dual_cache import DualCache
from litellm.proxy.proxy_server import get_current_spend
counter_cache = DualCache()
counter_key = "spend:team_member:user-1:team-1"
counter_cache.in_memory_cache.set_cache(key=counter_key, value=42.0)
fake_redis = AsyncMock()
fake_redis.async_get_cache = AsyncMock(side_effect=ConnectionError("redis down"))
counter_cache.redis_cache = fake_redis
fake_prisma = MagicMock()
fake_prisma.db.litellm_teammembership.find_unique = AsyncMock(
return_value=MagicMock(spend=999.0)
)
import litellm.proxy.proxy_server as ps
orig_counter, orig_prisma = ps.spend_counter_cache, ps.prisma_client
ps.spend_counter_cache = counter_cache
ps.prisma_client = fake_prisma
try:
spend = await get_current_spend(counter_key=counter_key, fallback_spend=0.0)
assert spend == 42.0, (
f"expected in-memory fallback 42.0 on Redis error, got {spend} "
f"(should not have hit DB when Redis errored)"
)
# DB query should NOT have fired - in-memory short-circuits.
fake_prisma.db.litellm_teammembership.find_unique.assert_not_awaited()
finally:
ps.spend_counter_cache = orig_counter
ps.prisma_client = orig_prisma