Krrish Dholakia 5d96ff6694 fix(utils.py): handle scenario where model="azure/*" and custom_llm_provider="azure" ... Fixes https://github.com/BerriAI/litellm/issues/4912		2024-08-02 17:48:53 -07:00
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__init__.py	fix(proxy_server.py): enable pre+post-call hooks and max parallel request limits	2023-12-08 17:11:30 -08:00
azure_content_safety.py	feat(vertex_httpx.py): Moving to call vertex ai via httpx (instead of their sdk). Allows us to support all their api updates.	2024-06-12 16:47:00 -07:00
batch_redis_get.py	refactor: replace 'traceback.print_exc()' with logging library	2024-06-06 13:47:43 -07:00
cache_control_check.py	fix(litellm_pre_call_utils.py): add support for key level caching params	2024-06-07 22:09:14 -07:00
dynamic_rate_limiter.py	fix: fix linting errors	2024-07-13 14:39:42 -07:00
example_presidio_ad_hoc_recognizer.json	fix(presidio_pii_masking.py): enable user to pass ad hoc recognizer for pii masking	2024-02-20 16:01:15 -08:00
max_budget_limiter.py	refactor: replace 'traceback.print_exc()' with logging library	2024-06-06 13:47:43 -07:00
parallel_request_limiter.py	fix(utils.py): handle scenario where model="azure/*" and custom_llm_provider="azure"	2024-08-02 17:48:53 -07:00
presidio_pii_masking.py	fix(presidio_pii_masking.py): support logging_only pii masking	2024-07-11 18:04:12 -07:00
prompt_injection_detection.py	refactor: replace 'traceback.print_exc()' with logging library	2024-06-06 13:47:43 -07:00