mirror of
https://github.com/BerriAI/litellm.git
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d88e8922d4
* fix(dual_cache.py): update in-memory check for redis batch get cache Fixes latency delay for async_batch_redis_cache * fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set * feat(user_api_key_auth.py): add parent otel component for auth allows us to isolate how much latency is added by auth checks * perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task) reduces latency by 200ms * feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter) Reduces latency by 400-800ms * fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls reduces latency by 50-100ms * fix: fix linting error * fix(_service_logger.py): fix import * fix(user_api_key_auth.py): fix service logging * fix(dual_cache.py): don't pass 'self' * fix: fix python3.8 error * fix: fix init] |
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|---|---|---|
| .. | ||
| __init__.py | ||
| azure_content_safety.py | ||
| batch_redis_get.py | ||
| cache_control_check.py | ||
| dynamic_rate_limiter.py | ||
| example_presidio_ad_hoc_recognizer.json | ||
| max_budget_limiter.py | ||
| parallel_request_limiter.py | ||
| presidio_pii_masking.py | ||
| prompt_injection_detection.py | ||