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litellm/litellm/caching
History
Ishaan Jaff 2d0ea74cf4
[Bug Fix] No module named 'diskcache' (#11600) 
* (build) show clear error when disk cache does not exist

* docs disk cache

* add caching to pyproject
2025-06-10 14:54:11 -07:00
..
__init__.py (Redis Cluster) - Fixes for using redis cluster + pipeline (#8442) 2025-02-12 18:01:32 -08:00
_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
base_cache.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
caching.py Embedding caching fixes - handle str -> list cache, set usage tokens for cache hits, combine usage tokens on partial cache hits (#10424) 2025-04-29 21:21:28 -07:00
caching_handler.py Helicone base url support + fix for embedding cache hits on str input (#11211) 2025-05-28 22:02:55 -07:00
disk_cache.py [Bug Fix] No module named 'diskcache' (#11600) 2025-06-10 14:54:11 -07:00
dual_cache.py Simplify experimental multi-instance rate limiter - more accurate (#11424) 2025-06-07 11:10:55 -07:00
in_memory_cache.py Simplify experimental multi-instance rate limiter - more accurate (#11424) 2025-06-07 11:10:55 -07:00
llm_caching_handler.py Fix pytest event loop warning (#10512) 2025-05-02 19:43:18 -07:00
qdrant_semantic_cache.py Squashed commit of the following: (#9709) 2025-04-02 21:24:54 -07:00
Readme.md (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
redis_cache.py Simplify experimental multi-instance rate limiter - more accurate (#11424) 2025-06-07 11:10:55 -07:00
redis_cluster_cache.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
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 build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00

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. 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