import asyncio import time import uuid from unittest.mock import AsyncMock, MagicMock, patch import pytest from litellm.caching.dual_cache import DualCache from litellm.caching.in_memory_cache import InMemoryCache from litellm.caching.redis_cache import RedisCache @pytest.mark.asyncio async def test_dual_cache_async_batch_get_cache_coalesces_concurrent_redis_reads(): dual_cache = DualCache( redis_cache=MagicMock(spec=RedisCache), default_redis_batch_cache_expiry=10 ) keys = ["shared_a", "shared_b"] start_gate = asyncio.Event() async def _mock_async_batch_get_cache(key_list, parent_otel_span=None): await asyncio.sleep(0.05) return {k: None for k in key_list} with patch.object( dual_cache.redis_cache, "async_batch_get_cache", new=AsyncMock(side_effect=_mock_async_batch_get_cache), ) as mock_async_batch_get_cache: async def worker(): await start_gate.wait() return await dual_cache.async_batch_get_cache(keys=keys) tasks = [asyncio.create_task(worker()) for _ in range(50)] start_gate.set() await asyncio.gather(*tasks) assert mock_async_batch_get_cache.call_count == 1 @pytest.mark.asyncio async def test_dual_cache_async_batch_get_cache_rolls_back_redis_reservation_on_error(): dual_cache = DualCache( redis_cache=MagicMock(spec=RedisCache), default_redis_batch_cache_expiry=10 ) keys = ["shared_a", "shared_b"] with patch.object( dual_cache.redis_cache, "async_batch_get_cache", new=AsyncMock(side_effect=RuntimeError("redis unavailable")), ) as mock_async_batch_get_cache: first_result = await dual_cache.async_batch_get_cache(keys=keys) second_result = await dual_cache.async_batch_get_cache(keys=keys) assert first_result is None assert second_result is None assert mock_async_batch_get_cache.call_count == 2 assert "shared_a" not in dual_cache.last_redis_batch_access_time assert "shared_b" not in dual_cache.last_redis_batch_access_time def _redis_mock_for_sync_batch(redis_result: dict) -> MagicMock: mock_redis = MagicMock(spec=RedisCache) mock_redis.batch_get_cache.return_value = redis_result return mock_redis def _assert_sync_batch_used_blocking_client(dual_cache: DualCache, mock_redis: MagicMock) -> None: with patch("asyncio.new_event_loop", side_effect=AssertionError("sync path must not create an event loop")): result = dual_cache.batch_get_cache(keys=["lit6729_key"]) assert result == ["redis_value"] mock_redis.batch_get_cache.assert_called_once_with(key_list=["lit6729_key"], parent_otel_span=None) mock_redis.async_batch_get_cache.assert_not_called() mock_redis.init_async_client.assert_not_called() assert dual_cache.in_memory_cache.get_cache("lit6729_key") == "redis_value" @pytest.mark.asyncio async def test_dual_cache_batch_get_cache_uses_sync_redis_client_inside_running_loop(): """ Regression test for LIT-6729: sync batch_get_cache ran async_batch_get_cache on a throwaway event loop, reusing an async Redis client created on another loop and corrupting its connection pool. The sync path must use the blocking client, never the async one, and never create an event loop, even when called from a coroutine (e.g. async_raise_no_deployment_exception -> get_min_cooldown). """ mock_redis = _redis_mock_for_sync_batch({"lit6729_key": "redis_value"}) dual_cache = DualCache(in_memory_cache=InMemoryCache(), redis_cache=mock_redis) _assert_sync_batch_used_blocking_client(dual_cache, mock_redis) def test_dual_cache_batch_get_cache_uses_sync_redis_client_without_running_loop(): mock_redis = _redis_mock_for_sync_batch({"lit6729_key": "redis_value"}) dual_cache = DualCache(in_memory_cache=InMemoryCache(), redis_cache=mock_redis) _assert_sync_batch_used_blocking_client(dual_cache, mock_redis) def test_dual_cache_batch_get_cache_only_reads_missing_keys_from_redis(): mock_redis = _redis_mock_for_sync_batch({"miss_key": "from_redis"}) dual_cache = DualCache(in_memory_cache=InMemoryCache(), redis_cache=mock_redis) dual_cache.in_memory_cache.set_cache("hit_key", "from_memory") result = dual_cache.batch_get_cache(keys=["hit_key", "miss_key"]) assert result == ["from_memory", "from_redis"] mock_redis.batch_get_cache.assert_called_once_with(key_list=["miss_key"], parent_otel_span=None) def test_dual_cache_batch_get_cache_throttles_repeat_redis_reads(): mock_redis = _redis_mock_for_sync_batch({"absent_key": None}) dual_cache = DualCache( in_memory_cache=InMemoryCache(), redis_cache=mock_redis, default_redis_batch_cache_expiry=10 ) first = dual_cache.batch_get_cache(keys=["absent_key"]) second = dual_cache.batch_get_cache(keys=["absent_key"]) assert first == [None] assert second == [None] mock_redis.batch_get_cache.assert_called_once() def test_dual_cache_batch_get_cache_rolls_back_redis_reservation_on_error(): mock_redis = MagicMock(spec=RedisCache) mock_redis.batch_get_cache.side_effect = RuntimeError("redis unavailable") dual_cache = DualCache( in_memory_cache=InMemoryCache(), redis_cache=mock_redis, default_redis_batch_cache_expiry=10 ) first_result = dual_cache.batch_get_cache(keys=["shared_a"]) second_result = dual_cache.batch_get_cache(keys=["shared_a"]) assert first_result is None assert second_result is None assert mock_redis.batch_get_cache.call_count == 2 assert "shared_a" not in dual_cache.last_redis_batch_access_time def test_dual_cache_batch_get_cache_returns_memory_only_when_redis_read_is_throttled(): mock_redis = _redis_mock_for_sync_batch({"throttled_key": "redis_value"}) dual_cache = DualCache( in_memory_cache=InMemoryCache(), redis_cache=mock_redis, default_redis_batch_cache_expiry=10 ) dual_cache.last_redis_batch_access_time["throttled_key"] = time.time() result = dual_cache.batch_get_cache(keys=["throttled_key"]) assert result == [None] mock_redis.batch_get_cache.assert_not_called() def test_dual_cache_sync_batch_redis_backfill_injects_default_in_memory_ttl(): """Sync batch_get_cache's Redis-to-memory backfill must honor default_in_memory_ttl, same as the async path.""" in_memory_cache = InMemoryCache(default_ttl=600) mock_redis = _redis_mock_for_sync_batch({"batch_backfill_key": "redis_value"}) dual_cache = DualCache( in_memory_cache=in_memory_cache, redis_cache=mock_redis, default_in_memory_ttl=60, ) before = time.time() result = dual_cache.batch_get_cache(keys=["batch_backfill_key"]) after = time.time() assert result == ["redis_value"] expiry = in_memory_cache.ttl_dict["batch_backfill_key"] assert expiry >= before + 60 assert expiry <= after + 60 def test_dual_cache_batch_get_cache_forwards_explicit_ttl_to_backfill(): """An explicit ttl kwarg must reach the in-memory backfill flat, not nested under a 'kwargs' key the way the old locals()-forwarding path sent it.""" in_memory_cache = InMemoryCache(default_ttl=600) mock_redis = _redis_mock_for_sync_batch({"explicit_ttl_key": "redis_value"}) dual_cache = DualCache(in_memory_cache=in_memory_cache, redis_cache=mock_redis) before = time.time() result = dual_cache.batch_get_cache(keys=["explicit_ttl_key"], ttl=5) after = time.time() assert result == ["redis_value"] expiry = in_memory_cache.ttl_dict["explicit_ttl_key"] assert expiry >= before + 5 assert expiry <= after + 5 @pytest.mark.asyncio async def test_dual_cache_async_set_cache_injects_default_in_memory_ttl(): """ Test that async_set_cache injects default_in_memory_ttl into kwargs when no explicit ttl is provided, matching the sync set_cache behavior. Regression test for: async_set_cache was missing the TTL injection that sync set_cache has, causing InMemoryCache to use its own default_ttl (600s) instead of DualCache's default_in_memory_ttl. """ in_memory_cache = InMemoryCache(default_ttl=600) dual_cache = DualCache( in_memory_cache=in_memory_cache, default_in_memory_ttl=60, ) before = time.time() await dual_cache.async_set_cache(key="test_key", value="test_value") after = time.time() # The TTL stored should reflect default_in_memory_ttl (60s), not # InMemoryCache's default_ttl (600s) expiry = in_memory_cache.ttl_dict["test_key"] assert expiry >= before + 60 assert expiry <= after + 60 @pytest.mark.asyncio async def test_dual_cache_redis_backfill_injects_default_in_memory_ttl(): """ A Redis-hit backfill into the in-memory tier must honor default_in_memory_ttl the same way the write paths do. Without it, the backfilled entry falls to InMemoryCache's own default_ttl (600s), so a replica that primed a management object (e.g. a virtual key's auth blob) from Redis keeps serving it for 10 minutes after the object was updated and invalidated, instead of re-reading within the configured TTL. """ in_memory_cache = InMemoryCache(default_ttl=600) redis_cache = MagicMock() redis_cache.async_get_cache = AsyncMock(return_value="redis_value") dual_cache = DualCache( in_memory_cache=in_memory_cache, redis_cache=redis_cache, default_in_memory_ttl=60, ) before = time.time() result = await dual_cache.async_get_cache(key="backfill_key") after = time.time() assert result == "redis_value" expiry = in_memory_cache.ttl_dict["backfill_key"] assert expiry >= before + 60 assert expiry <= after + 60 @pytest.mark.asyncio async def test_dual_cache_batch_redis_backfill_injects_default_in_memory_ttl(): """async_batch_get_cache's Redis-to-memory backfill must honor default_in_memory_ttl, same as the single-key path.""" in_memory_cache = InMemoryCache(default_ttl=600) mock_redis = MagicMock(spec=RedisCache) mock_redis.async_batch_get_cache = AsyncMock( return_value={"batch_backfill_key": "redis_value"} ) dual_cache = DualCache( in_memory_cache=in_memory_cache, redis_cache=mock_redis, default_in_memory_ttl=60, ) before = time.time() result = await dual_cache.async_batch_get_cache(keys=["batch_backfill_key"]) after = time.time() assert result == ["redis_value"] expiry = in_memory_cache.ttl_dict["batch_backfill_key"] assert expiry >= before + 60 assert expiry <= after + 60 @pytest.mark.asyncio async def test_dual_cache_async_set_cache_respects_explicit_ttl(): """ Test that async_set_cache does NOT override an explicitly provided ttl. """ in_memory_cache = InMemoryCache(default_ttl=600) dual_cache = DualCache( in_memory_cache=in_memory_cache, default_in_memory_ttl=60, ) before = time.time() await dual_cache.async_set_cache(key="test_key", value="test_value", ttl=30) after = time.time() # The explicit ttl=30 should be used, not default_in_memory_ttl (60) expiry = in_memory_cache.ttl_dict["test_key"] assert expiry >= before + 30 assert expiry <= after + 30 @pytest.mark.asyncio async def test_dual_cache_async_set_cache_pipeline_injects_default_in_memory_ttl(): """ Test that async_set_cache_pipeline injects default_in_memory_ttl into kwargs when no explicit ttl is provided. """ in_memory_cache = InMemoryCache(default_ttl=600) dual_cache = DualCache( in_memory_cache=in_memory_cache, default_in_memory_ttl=60, ) cache_list = [("key_a", "value_a"), ("key_b", "value_b")] before = time.time() await dual_cache.async_set_cache_pipeline(cache_list=cache_list) after = time.time() for key in ["key_a", "key_b"]: expiry = in_memory_cache.ttl_dict[key] assert expiry >= before + 60 assert expiry <= after + 60 @pytest.mark.asyncio async def test_dual_cache_sync_and_async_set_cache_use_same_ttl(): """ Test that sync set_cache and async async_set_cache produce the same TTL when no explicit ttl is provided, ensuring parity between the two paths. """ in_memory_sync = InMemoryCache(default_ttl=600) dual_cache_sync = DualCache( in_memory_cache=in_memory_sync, default_in_memory_ttl=60, ) in_memory_async = InMemoryCache(default_ttl=600) dual_cache_async = DualCache( in_memory_cache=in_memory_async, default_in_memory_ttl=60, ) dual_cache_sync.set_cache(key="test_key", value="test_value") await dual_cache_async.async_set_cache(key="test_key", value="test_value") sync_expiry = in_memory_sync.ttl_dict["test_key"] async_expiry = in_memory_async.ttl_dict["test_key"] # Both should use default_in_memory_ttl=60, so their expiry times # should be within a small tolerance of each other assert abs(sync_expiry - async_expiry) < 1.0 def test_circuit_breaker_opens_after_threshold(): """Circuit opens after N consecutive Redis failures.""" from litellm.caching.redis_cache import RedisCircuitBreaker cb = RedisCircuitBreaker(failure_threshold=3, recovery_timeout=60) for _ in range(3): cb.record_failure() assert cb._state == "open" @pytest.mark.asyncio async def test_circuit_breaker_open_skips_redis(): """When circuit is open, the guard decorator raises immediately without calling the method.""" from litellm.caching.redis_cache import ( RedisCircuitBreaker, _redis_circuit_breaker_guard, ) class FakeRedis: def __init__(self): self._circuit_breaker = RedisCircuitBreaker( failure_threshold=3, recovery_timeout=60 ) self._circuit_breaker._state = "open" self._circuit_breaker._opened_at = time.time() self.call_count = 0 @_redis_circuit_breaker_guard async def do_thing(self): self.call_count += 1 return "result" fr = FakeRedis() with pytest.raises(Exception, match="circuit breaker is open"): await fr.do_thing() assert fr.call_count == 0 # method body never executed def test_circuit_breaker_closes_on_recovery(): """After recovery_timeout expires, probe is allowed and success closes the circuit.""" from litellm.caching.redis_cache import RedisCircuitBreaker cb = RedisCircuitBreaker(failure_threshold=3, recovery_timeout=60) cb._state = "open" cb._opened_at = time.time() - 9999 # recovery timeout long expired # is_open() should return False to allow a probe through, and transition to HALF_OPEN assert cb.is_open() is False assert cb._state == "half_open" # Successful probe closes the circuit cb.record_success() assert cb._state == "closed" def test_circuit_breaker_half_open_concurrent_calls_are_fast_failed(): """ Regression test: only ONE probe gets through when the circuit transitions OPEN → HALF_OPEN. All concurrent callers that check is_open() while the state is already HALF_OPEN must be fast-failed (return True), not allowed through as additional probes. """ from litellm.caching.redis_cache import RedisCircuitBreaker cb = RedisCircuitBreaker(failure_threshold=3, recovery_timeout=60) cb._state = "open" cb._opened_at = time.time() - 9999 # recovery timeout long expired # First caller: OPEN + expired → transitions to HALF_OPEN, returns False (probe) assert cb.is_open() is False assert cb._state == "half_open" # All subsequent concurrent callers: HALF_OPEN → fast-fail (return True) for _ in range(10): assert ( cb.is_open() is True ), "concurrent callers should be fast-failed in HALF_OPEN" def test_circuit_breaker_disabled_never_opens(): """When disabled, failures never open the circuit and is_open() stays False.""" from litellm.caching.redis_cache import RedisCircuitBreaker cb = RedisCircuitBreaker(failure_threshold=3, recovery_timeout=60, enabled=False) for _ in range(100): cb.record_failure() assert cb._state == "closed" assert cb.is_open() is False def test_circuit_breaker_disabled_record_success_leaves_state_untouched(): """ A disabled breaker must not mutate state in any state-machine method. Force a non-default (OPEN) state and assert record_success() returns without resetting it — the same enabled-guard contract as is_open/record_failure. """ from litellm.caching.redis_cache import RedisCircuitBreaker cb = RedisCircuitBreaker(failure_threshold=3, recovery_timeout=60, enabled=False) cb._state = "open" cb._failure_count = 3 cb.record_success() assert cb._state == "open" assert cb._failure_count == 3 @pytest.mark.asyncio async def test_circuit_breaker_disabled_guard_always_calls_method(): """A disabled breaker lets every guarded call through, even after failures.""" from litellm.caching.redis_cache import ( RedisCircuitBreaker, _redis_circuit_breaker_guard, ) class FakeRedis: def __init__(self): self._circuit_breaker = RedisCircuitBreaker( failure_threshold=1, recovery_timeout=60, enabled=False ) self.call_count = 0 @_redis_circuit_breaker_guard async def boom(self): self.call_count += 1 raise RuntimeError("redis down") fr = FakeRedis() for _ in range(5): with pytest.raises(RuntimeError, match="redis down"): await fr.boom() # Every call reached the method body; the breaker never short-circuited. assert fr.call_count == 5 assert fr._circuit_breaker.is_open() is False @pytest.mark.asyncio async def test_async_increment_cache_returns_none_when_no_in_memory_cache_and_redis_fails(): """ Regression test: when in_memory_cache is None and Redis fails, async_increment_cache must return None — not the raw increment delta — to avoid silently miscalculating rate-limit counters. """ dc = DualCache() dc.in_memory_cache = None # type: ignore[assignment] # constructor always creates InMemoryCache, so null it manually dc.redis_cache = MagicMock() dc.redis_cache.async_increment = AsyncMock(side_effect=Exception("redis down")) result = await dc.async_increment_cache("rpm:model:14-05", 1.0, ttl=60) assert result is None, ( f"Expected None when in_memory_cache is absent and Redis fails, got {result!r}. " "Returning the delta (1.0) would silently miscalculate rate-limit counters." ) def test_dual_cache_late_attach_redis_wires_writes_and_ttl_sync(): """ Typical lazy startup (sync): DualCache runs with in-memory only, then Redis becomes available and is attached. New writes must reach Redis; keys written before attach are not backfilled. Optional default_redis_ttl is applied on attach. """ in_memory = InMemoryCache() dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=None) mock_redis = MagicMock() mock_redis.set_cache = MagicMock() mock_redis.async_set_cache = AsyncMock() key_before = f"before_attach_{uuid.uuid4()}" val_before = {"phase": "memory_only"} dual_cache.set_cache(key_before, val_before) assert in_memory.get_cache(key_before) == val_before dual_cache.attach_redis_cache(mock_redis, default_redis_ttl=99.0) assert dual_cache.redis_cache is mock_redis assert dual_cache.default_redis_ttl == 99.0 mock_redis.set_cache.assert_not_called() key_after = f"after_attach_{uuid.uuid4()}" val_after = {"phase": "memory_and_redis"} dual_cache.set_cache(key_after, val_after) mock_redis.set_cache.assert_called_once() assert mock_redis.set_cache.call_args[0][:2] == (key_after, val_after) assert in_memory.get_cache(key_after) == val_after @pytest.mark.asyncio async def test_dual_cache_late_attach_redis_wires_writes_and_ttl_async(): """ Typical lazy startup (async): DualCache runs with in-memory only, then Redis becomes available and is attached. New writes must reach Redis; keys written before attach are not backfilled. Optional default_redis_ttl is applied on attach. """ in_memory = InMemoryCache() dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=None) mock_redis = MagicMock() mock_redis.set_cache = MagicMock() mock_redis.async_set_cache = AsyncMock() key_before = f"before_attach_{uuid.uuid4()}" val_before = {"phase": "memory_only"} await dual_cache.async_set_cache(key_before, val_before) assert in_memory.get_cache(key_before) == val_before dual_cache.attach_redis_cache(mock_redis, default_redis_ttl=99.0) assert dual_cache.redis_cache is mock_redis assert dual_cache.default_redis_ttl == 99.0 mock_redis.async_set_cache.assert_not_called() key_after = f"after_attach_{uuid.uuid4()}" val_after = {"phase": "memory_and_redis"} await dual_cache.async_set_cache(key_after, val_after) mock_redis.async_set_cache.assert_called_once() assert mock_redis.async_set_cache.call_args[0][:2] == (key_after, val_after) assert in_memory.get_cache(key_after) == val_after