mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
d9a71650e3
* fix remove qdrant semantic caching to it's own folder * refactor use 1 file for s3 caching * fix use sep files for in mem and redis caching * fix refactor caching * add readme.md for caching folder
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
import json
|
|
from typing import Optional
|
|
|
|
from litellm._logging import print_verbose
|
|
|
|
from .base_cache import BaseCache
|
|
|
|
|
|
class DiskCache(BaseCache):
|
|
def __init__(self, disk_cache_dir: Optional[str] = None):
|
|
import diskcache as dc
|
|
|
|
# if users don't provider one, use the default litellm cache
|
|
if disk_cache_dir is None:
|
|
self.disk_cache = dc.Cache(".litellm_cache")
|
|
else:
|
|
self.disk_cache = dc.Cache(disk_cache_dir)
|
|
|
|
def set_cache(self, key, value, **kwargs):
|
|
print_verbose("DiskCache: set_cache")
|
|
if "ttl" in kwargs:
|
|
self.disk_cache.set(key, value, expire=kwargs["ttl"])
|
|
else:
|
|
self.disk_cache.set(key, value)
|
|
|
|
async def async_set_cache(self, key, value, **kwargs):
|
|
self.set_cache(key=key, value=value, **kwargs)
|
|
|
|
async def async_set_cache_pipeline(self, cache_list, ttl=None):
|
|
for cache_key, cache_value in cache_list:
|
|
if ttl is not None:
|
|
self.set_cache(key=cache_key, value=cache_value, ttl=ttl)
|
|
else:
|
|
self.set_cache(key=cache_key, value=cache_value)
|
|
|
|
def get_cache(self, key, **kwargs):
|
|
original_cached_response = self.disk_cache.get(key)
|
|
if original_cached_response:
|
|
try:
|
|
cached_response = json.loads(original_cached_response) # type: ignore
|
|
except Exception:
|
|
cached_response = original_cached_response
|
|
return cached_response
|
|
return None
|
|
|
|
def batch_get_cache(self, keys: list, **kwargs):
|
|
return_val = []
|
|
for k in keys:
|
|
val = self.get_cache(key=k, **kwargs)
|
|
return_val.append(val)
|
|
return return_val
|
|
|
|
def increment_cache(self, key, value: int, **kwargs) -> int:
|
|
# get the value
|
|
init_value = self.get_cache(key=key) or 0
|
|
value = init_value + value # type: ignore
|
|
self.set_cache(key, value, **kwargs)
|
|
return value
|
|
|
|
async def async_get_cache(self, key, **kwargs):
|
|
return self.get_cache(key=key, **kwargs)
|
|
|
|
async def async_batch_get_cache(self, keys: list, **kwargs):
|
|
return_val = []
|
|
for k in keys:
|
|
val = self.get_cache(key=k, **kwargs)
|
|
return_val.append(val)
|
|
return return_val
|
|
|
|
async def async_increment(self, key, value: int, **kwargs) -> int:
|
|
# get the value
|
|
init_value = await self.async_get_cache(key=key) or 0
|
|
value = init_value + value # type: ignore
|
|
await self.async_set_cache(key, value, **kwargs)
|
|
return value
|
|
|
|
def flush_cache(self):
|
|
self.disk_cache.clear()
|
|
|
|
async def disconnect(self):
|
|
pass
|
|
|
|
def delete_cache(self, key):
|
|
self.disk_cache.pop(key)
|