mirror of
https://github.com/BerriAI/litellm.git
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- a2a_protocol/exception_mapping_utils.py: Fix type ignore comment for None assignment - caching/redis_cache.py: Add type ignore for async ping return type - caching/redis_cluster_cache.py: Add type ignore for async ping return type - llms/deprecated_providers/palm.py: Add type ignore for palm.generate_text - proxy/auth/handle_jwt.py: Add type ignore for jwt.decode options argument All changes add appropriate type: ignore comments to handle library typing inconsistencies. |
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|---|---|---|
| .. | ||
| __init__.py | ||
| _internal_lru_cache.py | ||
| azure_blob_cache.py | ||
| base_cache.py | ||
| caching.py | ||
| caching_handler.py | ||
| disk_cache.py | ||
| dual_cache.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_semantic_cache.py | ||
| s3_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