OpenBench provides multiple ways to customize the evaluation process, with environment variable configuration being one of the most flexible. Users can set the API_KEY variable to specify access credentials for different vendors, control the randomness of the model output via the TEMPERATURE variable, regulate the number of parallel requests using MAX_CONNECTIONS, etc.
This configuration approach complements command line parameters and is particularly suited to team collaboration or CI/CD integration scenarios. By externalizing configuration parameters, it is easy to unify the management of evaluation environments while maintaining reproducibility between different runs. For example, in a continuous integration system, timeout parameters and concurrency limits for all evaluation tasks can be uniformly set via environment variables.
This answer comes from the articleOpenBench: an open source benchmarking tool for evaluating language modelsThe
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