ITBench-AA
Not in model cards
Agents read an offline snapshot of a failing Kubernetes cluster and name the entities that caused the incident, in structured JSON.
Launched 2026-05-27 with 59 SRE scenarios from ITBench, 40 of them public. FinOps and CISO tasks are planned. An LLM normalizes entities before matching.
Made by Artificial Analysis + IBM Research Released May 2026 Terminal tasks Public tasks plus a private test set
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
No scores here yet
Artificial Analysis doesn’t allow reuse of its data, so we link to its board instead.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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