Design the scheduler for a continuous-batching inference engine.

Continuous batching admits and retires requests at token boundaries instead of waiting for a static batch to finish. It improves device utilization and tail latency but needs careful scheduling, memory accounting, and fairness.

Make interfaces and ownership explicit; add versioning, access control, monitoring, canary rollout, rollback, and a plan for delayed labels or human review.