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Two routers in one process shared a single handler, because the callback manager dedupes on the class name plus the handler's public attributes and the handler had none. The second router's requests were never counted. The handler now carries the id of the cache it was built on, so routers with different caches both register while the two selectors one router builds for its routing groups still collapse into one. Clamping a negative count back to zero used SET, which drops the key's TTL, so the next write started the hour over. It uses INCRBY by the negative amount now, which leaves the expiry alone. The Lua script had no test that ran it, so tests/local_testing covers both the sync and async paths against a real Redis, and the file is wired into the CircleCI job that provides one. |
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|---|---|---|
| .. | ||
| __init__.py | ||
| _embedding_router.py | ||
| _internal_lru_cache.py | ||
| azure_blob_cache.py | ||
| base_cache.py | ||
| caching.py | ||
| caching_handler.py | ||
| disk_cache.py | ||
| dual_cache.py | ||
| evicted_client_closer.py | ||
| gcs_cache.py | ||
| in_memory_cache.py | ||
| llm_caching_handler.py | ||
| qdrant_semantic_cache.py | ||
| Readme.md | ||
| redis_cache.py | ||
| redis_cluster_cache.py | ||
| redis_cluster_node_isolation.py | ||
| redis_semantic_cache.py | ||
| s3_cache.py | ||
| valkey_semantic_cache.py | ||
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:
- RedisCache
- RedisSemanticCache
- QdrantSemanticCache
- InMemoryCache
- DiskCache
- S3Cache
- AzureBlobCache
- 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