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SREGym

Platform and benchmark for AI agents that resolve production incidents in live Kubernetes environments (90 SRE problems, SREGym-Lite starter set),…

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From the repository

Can AI agents resolve production incidents?

How builders describe it

Platform and benchmark for AI agents that resolve production incidents in live Kubernetes environments (90 SRE problems, SREGym-Lite starter set), with optional Jev decision support that reviews an agent's diagnostic tests and submissions using evidence sent to TypeSafe.
SREGym stands up live Kubernetes clusters so SRE agents can be evaluated against 90 fault scenarios, including OS-level faults and metastable and concurrent failures, in containers that cannot see the grading logic.

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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