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Krish Dholakia 662c59adcf
Support caching on reasoning content + other fixes (#8973) 
* fix(factory.py): pass on anthropic thinking content from assistant call

* fix(factory.py): fix anthropic messages to handle thinking blocks

Fixes https://github.com/BerriAI/litellm/issues/8961

* fix(factory.py): fix bedrock handling for assistant content in messages

Fixes https://github.com/BerriAI/litellm/issues/8961

* feat(convert_dict_to_response.py): handle reasoning content + thinking blocks in chat completion block

ensures caching works for anthropic thinking block

* fix(convert_dict_to_response.py): pass all message params to delta block

ensures streaming delta also contains the reasoning content / thinking block

* test(test_prompt_factory.py): remove redundant test

anthropic now supports assistant as the first message

* fix(factory.py): fix linting errors

* fix: fix code qa

* test: remove falsy test

* fix(litellm_logging.py): fix str conversion
2025-03-04 21:12:16 -08:00
..
__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 LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705) 2024-11-12 22:50:51 +05:30
caching.py (Bug fix) - don't log messages in model_parameters in StandardLoggingPayload (#8932) 2025-03-01 13:39:45 -08:00
caching_handler.py Support caching on reasoning content + other fixes (#8973) 2025-03-04 21:12:16 -08:00
disk_cache.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
dual_cache.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
in_memory_cache.py Provider Budget Routing - Get Budget, Spend Details (#7063) 2024-12-06 21:14:12 -08:00
qdrant_semantic_cache.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
Readme.md (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
redis_cache.py fix(proxy_server.py): fix setting router redis cache, if cache enable… (#8859) 2025-03-02 08:39:06 -08:00
redis_cluster_cache.py (Redis fix) - use mget_non_atomic (#8682) 2025-02-20 17:51:31 -08:00
redis_semantic_cache.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
s3_cache.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00

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