litellm-mirror/litellm/caching/dual_cache.py
Krish Dholakia 4f8a3fd4cf
redis otel tracing + async support for latency routing (#6452)
* docs(exception_mapping.md): add missing exception types

Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183

* fix(main.py): register custom model pricing with specific key

Ensure custom model pricing is registered to the specific model+provider key combination

* test: make testing more robust for custom pricing

* fix(redis_cache.py): instrument otel logging for sync redis calls

ensures complete coverage for all redis cache calls

* refactor: pass parent_otel_span for redis caching calls in router

allows for more observability into what calls are causing latency issues

* test: update tests with new params

* refactor: ensure e2e otel tracing for router

* refactor(router.py): add more otel tracing acrosss router

catch all latency issues for router requests

* fix: fix linting error

* fix(router.py): fix linting error

* fix: fix test

* test: fix tests

* fix(dual_cache.py): pass ttl to redis cache

* fix: fix param
2024-10-28 21:52:12 -07:00

380 lines
13 KiB
Python

"""
Dual Cache implementation - Class to update both Redis and an in-memory cache simultaneously.
Has 4 primary methods:
- set_cache
- get_cache
- async_set_cache
- async_get_cache
"""
import traceback
from typing import TYPE_CHECKING, Any, List, Optional
import litellm
from litellm._logging import print_verbose, verbose_logger
from .base_cache import BaseCache
from .in_memory_cache import InMemoryCache
from .redis_cache import RedisCache
if TYPE_CHECKING:
from opentelemetry.trace import Span as _Span
Span = _Span
else:
Span = Any
class DualCache(BaseCache):
"""
DualCache is a cache implementation that updates both Redis and an in-memory cache simultaneously.
When data is updated or inserted, it is written to both the in-memory cache + Redis.
This ensures that even if Redis hasn't been updated yet, the in-memory cache reflects the most recent data.
"""
def __init__(
self,
in_memory_cache: Optional[InMemoryCache] = None,
redis_cache: Optional[RedisCache] = None,
default_in_memory_ttl: Optional[float] = None,
default_redis_ttl: Optional[float] = None,
) -> None:
super().__init__()
# If in_memory_cache is not provided, use the default InMemoryCache
self.in_memory_cache = in_memory_cache or InMemoryCache()
# If redis_cache is not provided, use the default RedisCache
self.redis_cache = redis_cache
self.default_in_memory_ttl = (
default_in_memory_ttl or litellm.default_in_memory_ttl
)
self.default_redis_ttl = default_redis_ttl or litellm.default_redis_ttl
def update_cache_ttl(
self, default_in_memory_ttl: Optional[float], default_redis_ttl: Optional[float]
):
if default_in_memory_ttl is not None:
self.default_in_memory_ttl = default_in_memory_ttl
if default_redis_ttl is not None:
self.default_redis_ttl = default_redis_ttl
def set_cache(self, key, value, local_only: bool = False, **kwargs):
# Update both Redis and in-memory cache
try:
if self.in_memory_cache is not None:
if "ttl" not in kwargs and self.default_in_memory_ttl is not None:
kwargs["ttl"] = self.default_in_memory_ttl
self.in_memory_cache.set_cache(key, value, **kwargs)
if self.redis_cache is not None and local_only is False:
self.redis_cache.set_cache(key, value, **kwargs)
except Exception as e:
print_verbose(e)
def increment_cache(
self, key, value: int, local_only: bool = False, **kwargs
) -> int:
"""
Key - the key in cache
Value - int - the value you want to increment by
Returns - int - the incremented value
"""
try:
result: int = value
if self.in_memory_cache is not None:
result = self.in_memory_cache.increment_cache(key, value, **kwargs)
if self.redis_cache is not None and local_only is False:
result = self.redis_cache.increment_cache(key, value, **kwargs)
return result
except Exception as e:
verbose_logger.error(f"LiteLLM Cache: Excepton async add_cache: {str(e)}")
raise e
def get_cache(
self,
key,
parent_otel_span: Optional[Span] = None,
local_only: bool = False,
**kwargs,
):
# Try to fetch from in-memory cache first
try:
result = None
if self.in_memory_cache is not None:
in_memory_result = self.in_memory_cache.get_cache(key, **kwargs)
if in_memory_result is not None:
result = in_memory_result
if result is None and self.redis_cache is not None and local_only is False:
# If not found in in-memory cache, try fetching from Redis
redis_result = self.redis_cache.get_cache(
key, parent_otel_span=parent_otel_span
)
if redis_result is not None:
# Update in-memory cache with the value from Redis
self.in_memory_cache.set_cache(key, redis_result, **kwargs)
result = redis_result
print_verbose(f"get cache: cache result: {result}")
return result
except Exception:
verbose_logger.error(traceback.format_exc())
def batch_get_cache(
self,
keys: list,
parent_otel_span: Optional[Span],
local_only: bool = False,
**kwargs,
):
try:
result = [None for _ in range(len(keys))]
if self.in_memory_cache is not None:
in_memory_result = self.in_memory_cache.batch_get_cache(keys, **kwargs)
if in_memory_result is not None:
result = in_memory_result
if None in result and self.redis_cache is not None and local_only is False:
"""
- for the none values in the result
- check the redis cache
"""
sublist_keys = [
key for key, value in zip(keys, result) if value is None
]
# If not found in in-memory cache, try fetching from Redis
redis_result = self.redis_cache.batch_get_cache(
sublist_keys, parent_otel_span=parent_otel_span
)
if redis_result is not None:
# Update in-memory cache with the value from Redis
for key in redis_result:
self.in_memory_cache.set_cache(key, redis_result[key], **kwargs)
for key, value in redis_result.items():
result[keys.index(key)] = value
print_verbose(f"async batch get cache: cache result: {result}")
return result
except Exception:
verbose_logger.error(traceback.format_exc())
async def async_get_cache(
self,
key,
parent_otel_span: Optional[Span] = None,
local_only: bool = False,
**kwargs,
):
# Try to fetch from in-memory cache first
try:
print_verbose(
f"async get cache: cache key: {key}; local_only: {local_only}"
)
result = None
if self.in_memory_cache is not None:
in_memory_result = await self.in_memory_cache.async_get_cache(
key, **kwargs
)
print_verbose(f"in_memory_result: {in_memory_result}")
if in_memory_result is not None:
result = in_memory_result
if result is None and self.redis_cache is not None and local_only is False:
# If not found in in-memory cache, try fetching from Redis
redis_result = await self.redis_cache.async_get_cache(
key, parent_otel_span=parent_otel_span
)
if redis_result is not None:
# Update in-memory cache with the value from Redis
await self.in_memory_cache.async_set_cache(
key, redis_result, **kwargs
)
result = redis_result
print_verbose(f"get cache: cache result: {result}")
return result
except Exception:
verbose_logger.error(traceback.format_exc())
async def async_batch_get_cache(
self,
keys: list,
parent_otel_span: Optional[Span] = None,
local_only: bool = False,
**kwargs,
):
try:
result = [None for _ in range(len(keys))]
if self.in_memory_cache is not None:
in_memory_result = await self.in_memory_cache.async_batch_get_cache(
keys, **kwargs
)
if in_memory_result is not None:
result = in_memory_result
if None in result and self.redis_cache is not None and local_only is False:
"""
- for the none values in the result
- check the redis cache
"""
sublist_keys = [
key for key, value in zip(keys, result) if value is None
]
# If not found in in-memory cache, try fetching from Redis
redis_result = await self.redis_cache.async_batch_get_cache(
sublist_keys, parent_otel_span=parent_otel_span
)
if redis_result is not None:
# Update in-memory cache with the value from Redis
for key, value in redis_result.items():
if value is not None:
await self.in_memory_cache.async_set_cache(
key, redis_result[key], **kwargs
)
for key, value in redis_result.items():
index = keys.index(key)
result[index] = value
return result
except Exception:
verbose_logger.error(traceback.format_exc())
async def async_set_cache(self, key, value, local_only: bool = False, **kwargs):
print_verbose(
f"async set cache: cache key: {key}; local_only: {local_only}; value: {value}"
)
try:
if self.in_memory_cache is not None:
await self.in_memory_cache.async_set_cache(key, value, **kwargs)
if self.redis_cache is not None and local_only is False:
await self.redis_cache.async_set_cache(key, value, **kwargs)
except Exception as e:
verbose_logger.exception(
f"LiteLLM Cache: Excepton async add_cache: {str(e)}"
)
async def async_batch_set_cache(
self, cache_list: list, local_only: bool = False, **kwargs
):
"""
Batch write values to the cache
"""
print_verbose(
f"async batch set cache: cache keys: {cache_list}; local_only: {local_only}"
)
try:
if self.in_memory_cache is not None:
await self.in_memory_cache.async_set_cache_pipeline(
cache_list=cache_list, **kwargs
)
if self.redis_cache is not None and local_only is False:
await self.redis_cache.async_set_cache_pipeline(
cache_list=cache_list, ttl=kwargs.pop("ttl", None), **kwargs
)
except Exception as e:
verbose_logger.exception(
f"LiteLLM Cache: Excepton async add_cache: {str(e)}"
)
async def async_increment_cache(
self,
key,
value: float,
parent_otel_span: Optional[Span],
local_only: bool = False,
**kwargs,
) -> float:
"""
Key - the key in cache
Value - float - the value you want to increment by
Returns - float - the incremented value
"""
try:
result: float = value
if self.in_memory_cache is not None:
result = await self.in_memory_cache.async_increment(
key, value, **kwargs
)
if self.redis_cache is not None and local_only is False:
result = await self.redis_cache.async_increment(
key,
value,
parent_otel_span=parent_otel_span,
ttl=kwargs.get("ttl", None),
)
return result
except Exception as e:
raise e # don't log if exception is raised
async def async_set_cache_sadd(
self, key, value: List, local_only: bool = False, **kwargs
) -> None:
"""
Add value to a set
Key - the key in cache
Value - str - the value you want to add to the set
Returns - None
"""
try:
if self.in_memory_cache is not None:
_ = await self.in_memory_cache.async_set_cache_sadd(
key, value, ttl=kwargs.get("ttl", None)
)
if self.redis_cache is not None and local_only is False:
_ = await self.redis_cache.async_set_cache_sadd(
key, value, ttl=kwargs.get("ttl", None)
)
return None
except Exception as e:
raise e # don't log, if exception is raised
def flush_cache(self):
if self.in_memory_cache is not None:
self.in_memory_cache.flush_cache()
if self.redis_cache is not None:
self.redis_cache.flush_cache()
def delete_cache(self, key):
"""
Delete a key from the cache
"""
if self.in_memory_cache is not None:
self.in_memory_cache.delete_cache(key)
if self.redis_cache is not None:
self.redis_cache.delete_cache(key)
async def async_delete_cache(self, key: str):
"""
Delete a key from the cache
"""
if self.in_memory_cache is not None:
self.in_memory_cache.delete_cache(key)
if self.redis_cache is not None:
await self.redis_cache.async_delete_cache(key)