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"""
Wrapper around router cache. Meant to handle model cooldown logic
"""
import time
from typing import TYPE_CHECKING, Any, List, Optional, Tuple, TypedDict
from litellm import verbose_logger
from litellm.caching.caching import DualCache
from litellm.caching.in_memory_cache import InMemoryCache
if TYPE_CHECKING:
from opentelemetry.trace import Span as _Span
Span = _Span
else:
Span = Any
class CooldownCacheValue(TypedDict):
exception_received: str
status_code: str
timestamp: float
cooldown_time: float
class CooldownCache:
def __init__(self, cache: DualCache, default_cooldown_time: float):
self.cache = cache
self.default_cooldown_time = default_cooldown_time
self.in_memory_cache = InMemoryCache()
def _common_add_cooldown_logic(
self, model_id: str, original_exception, exception_status, cooldown_time: float
) -> Tuple[str, CooldownCacheValue]:
try:
current_time = time.time()
cooldown_key = f"deployment:{model_id}:cooldown"
# Store the cooldown information for the deployment separately
cooldown_data = CooldownCacheValue(
exception_received=str(original_exception),
status_code=str(exception_status),
timestamp=current_time,
cooldown_time=cooldown_time,
)
return cooldown_key, cooldown_data
except Exception as e:
verbose_logger.error(
"CooldownCache::_common_add_cooldown_logic - Exception occurred - {}".format(
str(e)
)
)
raise e
def add_deployment_to_cooldown(
self,
model_id: str,
original_exception: Exception,
exception_status: int,
cooldown_time: Optional[float],
):
try:
_cooldown_time = cooldown_time or self.default_cooldown_time
cooldown_key, cooldown_data = self._common_add_cooldown_logic(
model_id=model_id,
original_exception=original_exception,
exception_status=exception_status,
cooldown_time=_cooldown_time,
)
# Set the cache with a TTL equal to the cooldown time
self.cache.set_cache(
value=cooldown_data,
key=cooldown_key,
ttl=_cooldown_time,
)
except Exception as e:
verbose_logger.error(
"CooldownCache::add_deployment_to_cooldown - Exception occurred - {}".format(
str(e)
)
)
raise e
@staticmethod
def get_cooldown_cache_key(model_id: str) -> str:
return f"deployment:{model_id}:cooldown"
async def async_get_active_cooldowns(
self, model_ids: List[str], parent_otel_span: Optional[Span]
) -> List[Tuple[str, CooldownCacheValue]]:
# Generate the keys for the deployments
keys = [
CooldownCache.get_cooldown_cache_key(model_id) for model_id in model_ids
]
# Retrieve the values for the keys using mget
## more likely to be none if no models ratelimited. So just check redis every 1s
## each redis call adds ~100ms latency.
## check in memory cache first
results = await self.cache.async_batch_get_cache(
keys=keys, parent_otel_span=parent_otel_span
)
active_cooldowns: List[Tuple[str, CooldownCacheValue]] = []
if results is None:
return active_cooldowns
# Process the results
for model_id, result in zip(model_ids, results):
if result and isinstance(result, dict):
cooldown_cache_value = CooldownCacheValue(**result) # type: ignore
active_cooldowns.append((model_id, cooldown_cache_value))
return active_cooldowns
def get_active_cooldowns(
self, model_ids: List[str], parent_otel_span: Optional[Span]
) -> List[Tuple[str, CooldownCacheValue]]:
# Generate the keys for the deployments
keys = [f"deployment:{model_id}:cooldown" for model_id in model_ids]
# Retrieve the values for the keys using mget
results = (
self.cache.batch_get_cache(keys=keys, parent_otel_span=parent_otel_span)
or []
)
active_cooldowns = []
# Process the results
for model_id, result in zip(model_ids, results):
if result and isinstance(result, dict):
cooldown_cache_value = CooldownCacheValue(**result) # type: ignore
active_cooldowns.append((model_id, cooldown_cache_value))
return active_cooldowns
def get_min_cooldown(
self, model_ids: List[str], parent_otel_span: Optional[Span]
) -> float:
"""Return min cooldown time required for a group of model id's."""
# Generate the keys for the deployments
keys = [f"deployment:{model_id}:cooldown" for model_id in model_ids]
# Retrieve the values for the keys using mget
results = (
self.cache.batch_get_cache(keys=keys, parent_otel_span=parent_otel_span)
or []
)
min_cooldown_time: Optional[float] = None
# Process the results
for model_id, result in zip(model_ids, results):
if result and isinstance(result, dict):
cooldown_cache_value = CooldownCacheValue(**result) # type: ignore
if min_cooldown_time is None:
min_cooldown_time = cooldown_cache_value["cooldown_time"]
elif cooldown_cache_value["cooldown_time"] < min_cooldown_time:
min_cooldown_time = cooldown_cache_value["cooldown_time"]
return min_cooldown_time or self.default_cooldown_time
# Usage example:
# cooldown_cache = CooldownCache(cache=your_cache_instance, cooldown_time=your_cooldown_time)
# cooldown_cache.add_deployment_to_cooldown(deployment, original_exception, exception_status)
# active_cooldowns = cooldown_cache.get_active_cooldowns()
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