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Every learned artifact in Cadenza — a LoRA adapter, a residual policy, a distilled student, a GRD-adapted VLA — passes through the same governance gate before it can be promoted. Governance is what turns “the loss went down” into a deployment decision you can trust.

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The verdict

Each governed command measures the artifact locally, sends the raw metrics to the Cadenza API, and the API returns one of three verdicts:
Verdicts are computed server-side. The client only measures — it never decides. That’s why the governed commands (lora eval, lora finetune --gate, residual train/eval/bench, distill eval, vla grd/eval) require sign-in: the API needs to authenticate the run and attribute the baseline to your account.

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What gets scored

The scorecard dimensions depend on the artifact, but the shape is the same — a mix of fidelity, safety, coverage, stability, and regression:

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Promotion, rollback & baselines

Governance is stateful. Each project keeps a promoted baseline per artifact kind. When a new artifact earns DEPLOY, it replaces the baseline and the old one is snapshotted. When a candidate earns BLOCK, the gate restores the previous baseline automatically — so a bad run can never leave you worse off than before.
  • --gate (on env lora finetune) runs the scorecard inline and promotes or rolls back automatically as part of the training command.
  • --promote (on the eval commands) deploys the candidate only if it earns DEPLOY; a BLOCK is refused and rolled back.

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Steering the next round

For the closed-loop stages (env residual train, env vla grd), the API does more than judge — it steers. Each round it returns the hyperparameters and dials for the next round (the residual’s PPO schedule; GRD’s λ / RL-budget / change-cap), so the loop converges toward a deployable artifact under the gate rather than just optimizing a raw objective.
You don’t need to read or tune the schedule — the client surfaces opaque per-round progress and the final verdict. Governance is the product: a verdict you can act on, not a curve you have to interpret.