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BenchSpan is an agent benchmarking platform designed for developers building AI agents, enabling benchmarks to complete in minutes rather than hours.[1] It runs evaluations in isolated Docker containers in parallel, supporting workloads like the 14-hour SWE-bench with minimal setup.[1]
Users provide a simple bash script to launch their agent, with no need for framework lock-in or specific interface changes.[1] The platform offers a library of standard benchmarks, including SWE-bench Verified, SWE-bench Lite, Terminal-Bench, HumanEval, MBPP, MATH, and GPQA, or allows custom benchmarks.[1] Configure the number of parallel instances and initiate runs directly from the interface.[1]
Results capture detailed metrics such as scores, trajectories, token usage, latency, and custom data, all centralized in a searchable team dashboard.[1] Runs are tagged by commit hash for easy reproducibility and comparison across versions.[1] This setup streamlines AI agent evaluation, benchmarking workflows, and performance tracking for engineering teams.[1][9]
Website: benchspan.com
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