Benchspan

Benchspan is a platform designed to make testing and improving artificial intelligence AI agents much easier and faster. Normally, checking how well AI agents perform can take a lot of time, effort, and money. Existing methods often don't work well because they aren't made for specific agents. This means engineers have to spend a lot of time getting things to work instead of actually making the AI better. Running all the tests locally can take many hours or even days, which slows down research and limits how many tests can be done each day. If a test fails because of internet problems, limits on how often you can ask something, or mistakes in the instructions, it wastes resources and time. You can't just pick up where you left off, so you have to start all over. Also, without a standard way to test, it's hard to trust the results. Different setups and versions can give very different answers, making it tough to work together or compare results. Finally, test results often end up lost in messy spreadsheets or messages, making it impossible to track progress or compare different tests.

Benefits

Benchspan helps solve these issues by offering a simpler and more effective way to test AI agents. It only needs a one-time setup where you give Benchspan a simple command to start your agent. This means you don't need to connect it to specific AI systems. After setup, you can choose from many common tests or use your own. Benchspan runs each test in its own separate container at the same time, which greatly speeds up the process. For example, a test that used to take 14 hours can now be done in just minutes. The platform also lets you rerun only the tests that failed, saving money and time by adding new results to the original test run. Every test uses the exact same setup, including the same software, test version, and settings. Everything is marked with the agent's specific code version to ensure results can be repeated and to avoid problems where something works on one computer but not another. Benchspan provides one central place for all test results, making them easy to search, compare, and share with your team. It also has a quick check feature that lets you test your setup with a small number of tests before running a full set. This helps find problems early and cheaply.

Use Cases

Benchspan can be used to test a variety of AI agents. It supports industry-standard benchmarks like SWE-bench Verified, SWE-bench Lite, Terminal-Bench, HumanEval, MBP, PPMATH, and GPQA. It also allows for custom or internal evaluations, giving users flexibility to test based on their specific needs. This is useful for developers and researchers who need to quickly iterate on AI models, ensure reproducibility, and collaborate effectively on AI projects.

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