An open-source harness measures cost per correct answer for OpenAI models on Amazon Bedrock. The tool evaluates cost per token, agent trajectory cost, and rubric-graded deliverable quality, offering developers a more outcome-focused metric than traditional dollars per million tokens. It helps teams choose the most efficient model for production workloads by quantifying real-world performance and cost.
Opening Kapyn…