FAULTLINE Evals
The open-source research workbench for multi-trial reliability and fault-injection evaluations.
Evaluate autonomous agents under repeated execution before shipping. Turn run-to-run variance into empirical noise bands with a deterministic oracle.
Repeated trials
1,350 graded runs across 150 held-out hard Tier-3 scenarios at pinned temperature 0.0.
Deterministic dual-condition oracle
Evaluates normalized string answers and verified citation hashes against a frozen corpus. Zero LLM judges in the evaluation loop.
Seeded fault injection
Reproducible catalog (F1–F6) covering schema violations, synthetic latency, payload corruption, and infinite tool loops.
Pre-registered hypotheses
Master Experiment Contract (MEC.md) and all primary hypotheses committed to git prior to execution.
Paired McNemar statistics
Rigorous 2×2 contingency table significance testing (McNemar exact p = 5.61 × 10⁻⁹³ across 1,800 paired runs).
pass^k joint reliability
Empirical test of naive compounding shows joint reliability holds within 2.5 percentage points at k=3.