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3 commits

Author SHA1 Message Date
Krish Dholakia
2e5c46ef6d
LiteLLM Minor Fixes & Improvements (10/04/2024) (#6064)
* fix(litellm_logging.py): ensure cache hits are scrubbed if 'turn_off_message_logging' is enabled

* fix(sagemaker.py): fix streaming to raise error immediately

Fixes https://github.com/BerriAI/litellm/issues/6054

* (fixes)  gcs bucket key based logging  (#6044)

* fixes for gcs bucket logging

* fix StandardCallbackDynamicParams

* fix - gcs logging when payload is not serializable

* add test_add_callback_via_key_litellm_pre_call_utils_gcs_bucket

* working success callbacks

* linting fixes

* fix linting error

* add type hints to functions

* fixes for dynamic success and failure logging

* fix for test_async_chat_openai_stream

* fix handle case when key based logging vars are set as os.environ/ vars

* fix prometheus track cooldown events on custom logger (#6060)

* (docs) add 1k rps load test doc  (#6059)

* docs 1k rps load test

* docs load testing

* docs load testing litellm

* docs load testing

* clean up load test doc

* docs prom metrics for load testing

* docs using prometheus on load testing

* doc load testing with prometheus

* (fixes) docs + qa - gcs key based logging  (#6061)

* fixes for required values for gcs bucket

* docs gcs bucket logging

* bump: version 1.48.12 → 1.48.13

* ci/cd run again

* bump: version 1.48.13 → 1.48.14

* update load test doc

* (docs) router settings - on litellm config  (#6037)

* add yaml with all router settings

* add docs for router settings

* docs router settings litellm settings

* (feat)  OpenAI prompt caching models to model cost map (#6063)

* add prompt caching for latest models

* add cache_read_input_token_cost for prompt caching models

* fix(litellm_logging.py): check if param is iterable

Fixes https://github.com/BerriAI/litellm/issues/6025#issuecomment-2393929946

* fix(factory.py): support passing an 'assistant_continue_message' to prevent bedrock error

Fixes https://github.com/BerriAI/litellm/issues/6053

* fix(databricks/chat): handle streaming responses

* fix(factory.py): fix linting error

* fix(utils.py): unify anthropic + deepseek prompt caching information to openai format

Fixes https://github.com/BerriAI/litellm/issues/6069

* test: fix test

* fix(types/utils.py): support all openai roles

Fixes https://github.com/BerriAI/litellm/issues/6052

* test: fix test

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2024-10-04 21:28:53 -04:00
Krish Dholakia
d57be47b0f
Litellm ruff linting enforcement (#5992)
* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check
2024-10-01 19:44:20 -04:00
Krrish Dholakia
3560f0ef2c refactor: move all testing to top-level of repo
Closes https://github.com/BerriAI/litellm/issues/486
2024-09-28 21:08:14 -07:00
Renamed from litellm/tests/test_custom_callback_input.py (Browse further)