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litellm/litellm/caching
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devin-ai-integration[bot] 16db51e2cf
feat(caching): add semantic_cache_scope to isolate semantic cache hits per end user (#39590) 
Semantic cache keys omit the prompt, so every end user behind one virtual key
shares a bucket and can be served another user's semantically similar response.
Add an opt-in cache_params.semantic_cache_scope (key | end_user) that appends the
authenticated end-user id to the tenant scope, read from metadata and
litellm_metadata so /v1/chat/completions, /v1/responses and /v1/messages are all
covered, falling back to the key scope when no end-user id is present. Expose the
setting in the cache settings API and the Admin UI cache settings form

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-03 18:44:54 -07:00
..
__init__.py refactor(lint): apply every safe ruff autofix and zero 28 strict-rule budgets 2026-08-01 15:43:29 -07:00
_embedding_router.py fix(caching): bound the semantic cache embedding lookup 2026-08-20 16:09:30 -07:00
_internal_lru_cache.py feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011) 2026-08-04 12:54:39 -07:00
azure_blob_cache.py feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011) 2026-08-04 12:54:39 -07:00
base_cache.py chore(lint): clear grandfathered over-limit lint drift and ratchet budgets down 2026-08-05 12:18:13 -07:00
caching.py feat(caching): add semantic_cache_scope to isolate semantic cache hits per end user (#39590) 2026-09-03 18:44:54 -07:00
caching_handler.py fix(responses): flush streaming cache write cancelled at event loop shutdown 2026-08-26 12:05:11 -07:00
disk_cache.py chore(lint): clear grandfathered over-limit lint drift and ratchet budgets down 2026-08-05 12:18:13 -07:00
dual_cache.py fix(cache): use sync Redis batch reads (#39358) 2026-09-03 14:37:48 -07:00
evicted_client_closer.py fix(caching): clear strict-lint budget breaches in re-landed closer code 2026-08-05 11:08:19 -07:00
gcs_cache.py feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011) 2026-08-04 12:54:39 -07:00
in_memory_cache.py feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011) 2026-08-04 12:54:39 -07:00
llm_caching_handler.py fix(caching): clear strict-lint budget breaches in re-landed closer code 2026-08-05 11:08:19 -07:00
qdrant_semantic_cache.py refactor(types): replace Any with precise types across 73 modules 2026-09-01 11:05:02 +00:00
Readme.md add azure blob cache support (#12587) 2025-07-15 11:47:38 -07:00
redis_cache.py fix(caching): don't trip redis circuit breaker on short timeout bursts (#38999) 2026-09-03 22:18:20 +00:00
redis_cluster_cache.py fix(redis): support credential providers across clients 2026-08-24 19:07:13 -04:00
redis_cluster_node_isolation.py fix(caching): keep a node timeout from forcing a cluster-wide topology reinit on redis-py 8.x (#39349) 2026-09-03 17:31:58 -07:00
redis_semantic_cache.py fix(caching): bound the semantic cache embedding lookup 2026-08-20 16:09:30 -07:00
s3_cache.py chore(lint): strip inert type: ignore comments and zero LIT009, LIT010, LIT011 headroom 2026-08-05 02:37:24 -07:00
valkey_semantic_cache.py chore(lint): fix post-merge type regressions and ratchet lint budgets 2026-08-29 20:16:04 +00:00

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