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Krish Dholakia 7cc12bd5c6
LiteLLM Minor Fixes & Improvements (10/18/2024) (#6320) 
* fix(converse_transformation.py): handle cross region model name when getting openai param support

Fixes https://github.com/BerriAI/litellm/issues/6291

* LiteLLM Minor Fixes & Improvements (10/17/2024)  (#6293)

* fix(ui_sso.py): fix faulty admin only check

Fixes https://github.com/BerriAI/litellm/issues/6286

* refactor(sso_helper_utils.py): refactor /sso/callback to use helper utils, covered by unit testing

Prevent future regressions

* feat(prompt_factory): support 'ensure_alternating_roles' param

Closes https://github.com/BerriAI/litellm/issues/6257

* fix(proxy/utils.py): add dailytagspend to expected views

* feat(auth_utils.py): support setting regex for clientside auth credentials

Fixes https://github.com/BerriAI/litellm/issues/6203

* build(cookbook): add tutorial for mlflow + langchain + litellm proxy tracing

* feat(argilla.py): add argilla logging integration

Closes https://github.com/BerriAI/litellm/issues/6201

* fix: fix linting errors

* fix: fix ruff error

* test: fix test

* fix: update vertex ai assumption - parts not always guaranteed (#6296)

* docs(configs.md): add argila env var to docs

* docs(user_keys.md): add regex doc for clientside auth params

* docs(argilla.md): add doc on argilla logging

* docs(argilla.md): add sampling rate to argilla calls

* bump: version 1.49.6 → 1.49.7

* add gpt-4o-audio models to model cost map (#6306)

* (code quality) add ruff check PLR0915 for `too-many-statements`  (#6309)

* ruff add PLR0915

* add noqa for PLR0915

* fix noqa

* add # noqa: PLR0915

* # noqa: PLR0915

* # noqa: PLR0915

* # noqa: PLR0915

* add # noqa: PLR0915

* # noqa: PLR0915

* # noqa: PLR0915

* # noqa: PLR0915

* # noqa: PLR0915

* doc fix Turn on / off caching per Key. (#6297)

* (feat) Support `audio`,  `modalities` params (#6304)

* add audio, modalities param

* add test for gpt audio models

* add get_supported_openai_params for GPT audio models

* add supported params for audio

* test_audio_output_from_model

* bump openai to openai==1.52.0

* bump openai on pyproject

* fix audio test

* fix test mock_chat_response

* handle audio for Message

* fix handling audio for OAI compatible API endpoints

* fix linting

* fix mock dbrx test

* (feat) Support audio param in responses streaming (#6312)

* add audio, modalities param

* add test for gpt audio models

* add get_supported_openai_params for GPT audio models

* add supported params for audio

* test_audio_output_from_model

* bump openai to openai==1.52.0

* bump openai on pyproject

* fix audio test

* fix test mock_chat_response

* handle audio for Message

* fix handling audio for OAI compatible API endpoints

* fix linting

* fix mock dbrx test

* add audio to Delta

* handle model_response.choices.delta.audio

* fix linting

* build(model_prices_and_context_window.json): add gpt-4o-audio audio token cost tracking

* refactor(model_prices_and_context_window.json): refactor 'supports_audio' to be 'supports_audio_input' and 'supports_audio_output'

Allows for flag to be used for openai + gemini models (both support audio input)

* feat(cost_calculation.py): support cost calc for audio model

Closes https://github.com/BerriAI/litellm/issues/6302

* feat(utils.py): expose new `supports_audio_input` and `supports_audio_output` functions

Closes https://github.com/BerriAI/litellm/issues/6303

* feat(handle_jwt.py): support single dict list

* fix(cost_calculator.py): fix linting errors

* fix: fix linting error

* fix(cost_calculator): move to using standard openai usage cached tokens value

* test: fix test

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2024-10-19 22:23:27 -07:00
..
__init__.py (testing) add unit tests for LLMCachingHandler Class (#6279) 2024-10-17 19:12:57 +05:30
base_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
caching.py LiteLLM Minor Fixes & Improvements (10/18/2024) (#6320) 2024-10-19 22:23:27 -07:00
caching_handler.py (refactor) get_cache_key to be under 100 LOC function (#6327) 2024-10-19 15:21:11 +05:30
disk_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
dual_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
in_memory_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
qdrant_semantic_cache.py (code quality) add ruff check PLR0915 for too-many-statements (#6309) 2024-10-18 15:36:49 +05:30
Readme.md (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
redis_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
redis_semantic_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30
s3_cache.py (refactor) - caching use separate files for each cache class (#6251) 2024-10-16 13:17:21 +05:30

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