Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
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Evaluate agent workflows and LLMs on your own data: find wasted steps, pick models, catch drift.
Run AI evaluations, record agent traces and gate releases on evidence, with scoped org access.
Train, evaluate, red-team and deploy AI agents: prompt tuning, LLM-judged evals, katas.
Build datasets and rubrics, then run evals that score your AI in Caliper.
Add one secure layer between your agents and this server.