Specific scenarios for plugging OpenBench into a continuous integration system:
- Set the API key environment variable in the CI configuration (e.g.
OPENAI_API_KEY) - Use a Docker image or install uv/OpenBench environment directly
- Write test scripts, examples:
bench eval mmlu --model 待测模型 --json > results.json - Parsing JSON results via tools like jq, setting accuracy thresholds to trigger build failures (e.g. <80%)
- Recommended to run simultaneously
humanevalCoding tests andaimeMath tests form multidimensional assessments - Archive historical results into CI artifacts for easy performance comparisons between versions.
This scheme is particularly well suited for regression testing after model fine-tuning to capture performance degradation issues in a timely manner.
This answer comes from the articleOpenBench: an open source benchmarking tool for evaluating language modelsThe
May not be reproduced without permission:AI productivity tools " How to integrate OpenBench into CI/CD process for automated testing?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil