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litellm/litellm/caching
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Alexsander Hamir 2e7b554747
3[Fix] CI/CD - logging_testing (#18204) 
* fix: enforce team member budget check in common_checks

- Add missing team member budget validation in common_checks() function
  - Checks team membership budget when team key is used
  - Raises BudgetExceededError when team member spend exceeds max_budget_in_team
  - Follows same pattern as other budget checks (team, user, end_user)
  - Uses cached get_team_membership() for performance

- Fix AttributeError in lowest_tpm_rpm.py
  - Add null check for model_info before accessing .get() method
  - Prevents 'NoneType' object has no attribute 'get' error

- Add unit tests for team member budget enforcement
  - Test budget exceeded scenario
  - Test within budget scenario
  - Test edge cases (no budget, no membership, personal keys)
  - Tests run without requiring proxy server

Fixes failing test: test_users_in_team_budget

* fix: mock get_async_httpx_client in test_langsmith_key_based_logging

- Mock get_async_httpx_client to return a mock AsyncHTTPHandler instance
- Fixes test failure where mock_post was never called
- LangsmithLogger creates its own httpx client instance via get_async_httpx_client,
  so we need to mock the factory function rather than the class method
- Use MagicMock for response.raise_for_status (sync method) instead of AsyncMock

* fix: resolve linting errors (PLR0915, F401)

- Remove unused imports (datetime, ServiceLoggerPayload) from arize_phoenix.py
- Extract health ping setup logic from RedisCache.__init__ to reduce statement count
- Extract team member budget check from common_checks to reduce statement count

* fix: resolve type errors in ChatCompletionToolCallChunk construction

- Cast type field to Literal['function'] to satisfy TypedDict requirements
- Ensure arguments field is explicitly str type to match TypedDict signature
- Fixes pyright errors for incompatible types in transformation.py
2025-12-18 10:52:24 -08:00
..
__init__.py Add GCS bucket caching support (#13122) 2025-08-04 16:09:33 -07:00
_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
azure_blob_cache.py add azure blob cache support (#12587) 2025-07-15 11:47:38 -07:00
base_cache.py [Feat] UI - Allow setting cache settings on UI (#16143) 2025-10-31 17:43:59 -07:00
caching.py init asyc implementation 2025-08-21 10:22:54 +02:00
caching_handler.py Update model logging format for custom LLM provider (#16485) 2025-11-11 19:13:42 -08:00
disk_cache.py [Bug Fix] No module named 'diskcache' (#11600) 2025-06-10 14:54:11 -07:00
dual_cache.py [Perf] Alexsander fixes round 2 - Oct 18th (#15695) 2025-10-18 11:12:00 -07:00
gcs_cache.py Add GCS bucket caching support (#13122) 2025-08-04 16:09:33 -07:00
in_memory_cache.py [Performance] Reduce complexity of InMemoryCache.evict_cache from O(n*log(n)) to O(log(n)) (#15000) 2025-09-30 16:49:35 -07:00
llm_caching_handler.py Fix pytest event loop warning (#10512) 2025-05-02 19:43:18 -07:00
qdrant_semantic_cache.py fix: use fastuuid helper (#14903) 2025-09-25 15:47:01 -07:00
Readme.md add azure blob cache support (#12587) 2025-07-15 11:47:38 -07:00
redis_cache.py 3[Fix] CI/CD - logging_testing (#18204) 2025-12-18 10:52:24 -08:00
redis_cluster_cache.py fix: Resolve MyPy type checking errors and CI linting (#16277) 2025-11-05 18:36:06 -08:00
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 clean imports 2025-08-25 11:09:06 +02:00

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