Wiring Replay Evals Into a CI/CD Pipeline for LLM Agents
Replay evals freeze production traces so you can test one fix live.
Replay evals freeze production traces so you can test one fix live.
Replay coverage means testing known failures, not code lines.
Temperature zero can't make agents repeatable, but layered recording can.
Replay test suites need carefully curated traces, not just volume.
Replay eval platforms trace agent failures to specific components, not just outcomes.
When agents act faster than humans can freeze, traditional release freezes become security theater.
Layer-by-layer failure tracking reveals root causes that aggregate SLA numbers hide.
Make sign-off decisions on traced evidence, not assurance, to close the trust-deployment gap.
Unconfirmed fixes leave root causes buried in your system.
Pinpoint which component failed to know which layer to revert safely.
Most AI project failures live in the harness, not the model—and they need structured release gates.
Prompt changes need the same evidence gates as code before shipping to production.