LLM evaluation and guardrails AIVANTA

Eval suites — Versioned case sets with assertions, scorers and human annotation in one score.

Regression gates — Block quality regressions in CI with configurable thresholds and a diff report per run.

LLM as judge — Built-in judge prompts with bias correction, and outputs you can sample for review.

Runtime guardrails — Intercept prompt injection, privilege escalation, data exfiltration and off-scope topics in production.

Cost and latency budgets — Token spend and P95 latency live in the same gate as accuracy, so you never optimise one axis only.

Dataset connectors — Sample production logs into new cases, so the eval suite grows with real traffic.