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litellm/litellm/caching
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Emerson Gomes 8a650f0170 fix(cache): prevent DualCache async batch check-then-act race (#20986) 
* fix(cache): prevent dual cache batch redis race under concurrency

* chore(cache): remove unused dual cache batch key helper

* chore(cache): align dual cache type hints and throttle comment
2026-02-13 18:32:41 +05:30
..
__init__.py Add GCS bucket caching support (#13122) 2025-08-04 16:09:33 -07:00
_internal_lru_cache.py (litellm SDK perf improvements) - handle cases when unable to lookup model in model cost map (#7750) 2025-01-13 19:58:46 -08:00
azure_blob_cache.py add azure blob cache support (#12587) 2025-07-15 11:47:38 -07:00
base_cache.py [Feat] UI - Allow setting cache settings on UI (#16143) 2025-10-31 17:43:59 -07:00
caching.py Add support for caching for responses API 2026-01-14 13:33:07 +05:30
caching_handler.py Add support for caching for responses API 2026-01-14 13:33:07 +05:30
disk_cache.py [Bug Fix] No module named 'diskcache' (#11600) 2025-06-10 14:54:11 -07:00
dual_cache.py fix(cache): prevent DualCache async batch check-then-act race (#20986) 2026-02-13 18:32:41 +05:30
gcs_cache.py Add GCS bucket caching support (#13122) 2025-08-04 16:09:33 -07:00
in_memory_cache.py [Performance] Reduce complexity of InMemoryCache.evict_cache from O(n*log(n)) to O(log(n)) (#15000) 2025-09-30 16:49:35 -07:00
llm_caching_handler.py Fix pytest event loop warning (#10512) 2025-05-02 19:43:18 -07:00
qdrant_semantic_cache.py fix: use fastuuid helper (#14903) 2025-09-25 15:47:01 -07:00
Readme.md add azure blob cache support (#12587) 2025-07-15 11:47:38 -07:00
redis_cache.py fix(mypy): resolve type checking errors in 5 files (#20627) 2026-02-06 18:34:55 -08:00
redis_cluster_cache.py fix(mypy): resolve type checking errors in 5 files (#20627) 2026-02-06 18:34:55 -08:00
redis_semantic_cache.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
s3_cache.py clean imports 2025-08-25 11:09:06 +02:00

Readme.md

Caching on LiteLLM

LiteLLM supports multiple caching mechanisms. This allows users to choose the most suitable caching solution for their use case.

The following caching mechanisms are supported:

  1. RedisCache
  2. RedisSemanticCache
  3. QdrantSemanticCache
  4. InMemoryCache
  5. DiskCache
  6. S3Cache
  7. AzureBlobCache
  8. DualCache (updates both Redis and an in-memory cache simultaneously)

Folder Structure

litellm/caching/
├── base_cache.py
├── caching.py
├── caching_handler.py
├── disk_cache.py
├── dual_cache.py
├── in_memory_cache.py
├── qdrant_semantic_cache.py
├── redis_cache.py
├── redis_semantic_cache.py
├── s3_cache.py

Documentation