Factual package intelligence from PyPI
Prompt-cache observability for LLM APIs. Per-call hit ratios, cost saved, regression alerts, miss-aware retry. Anthropic + OpenAI + Bedrock.
pip install cachebench
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
cachebench publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .