We're running multi-step agents with tools and the eval bill is getting absurd. Sampling strategies, cached fixtures, anything that kept your eval budget sane?
7
Best practices for evaluating agent loops without burning $1k a run?
We're running multi-step agents with tools and the eval bill is getting absurd. Sampling strategies, cached fixtures, anything that kept your eval budget sane?
7
2 comments
We run a fixed set of 50 cached trajectories nightly + a 10-prompt smoke set on every PR. Full eval only on release candidates.
LangSmith's deterministic replay cut our spend ~60%. Worth the lock-in for us.
We run a fixed set of 50 cached trajectories nightly + a 10-prompt smoke set on every PR. Full eval only on release candidates.
LangSmith's deterministic replay cut our spend ~60%. Worth the lock-in for us.