Know when your
agents regress
TraceGrade runs standardized cohorts against your AI agents continuously. Same scenarios, every deploy. Drift surfaces before users notice.
$ tracegrade run --cohort baseline-v3 --model sonnet-4 PASS task_completion 0.94 (baseline: 0.92) PASS tool_correctness 0.97 (baseline: 0.95) DRIFT hallucination_rate 0.08 (baseline: 0.03) +167% PASS latency_p95 2.1s (baseline: 2.4s) PASS cost_per_task $0.12 (baseline: $0.14) cohort: 48/50 scenarios passed | 1 regression detected report: https://tracegrade.polsia.app/runs/r-4821
Cohort-based quality measurement
Define scenarios once. Run them on every model change, routing update, or infrastructure deploy. TraceGrade builds a quality history so you see exactly when and why things changed.
Scenario Cohorts
Group standardized test scenarios that represent your production workload. Same inputs, measured outputs, every time.
Drift Detection
Statistical comparison against your quality baseline. Know if a model swap or routing change degraded any dimension.
Multi-Model Routing
Track quality per-route. Opus vs Sonnet vs Haiku, each with their own baseline and regression thresholds.
Continuous Runs
Schedule cohort runs on every deploy, daily, or triggered by model version bumps. Quality history builds automatically.
Quality is a moving target.
Baselines keep you honest.
Every model update, every routing change, every infrastructure tweak shifts your agent's behavior. TraceGrade measures the shift so you ship with confidence.