Local-enough is an open-source Python tool for benchmarking back-office AI tasks against local hardware. It measures accuracy against gold standards, latency percentiles, and amortized hardware costs to find break-even volumes. Developers can use its OpenAI-compatible router to dynamically route each task to the cheapest model that meets a specific quality threshold.
Opening Kapyn…