Canary rollouts: upgrade models in production without downtime

Model rollouts provide a managed way to migrate live endpoint traffic from an existing deployment to a new model through canary, blue-green, or rolling strategies, replacing manual cutovers with staged capacity scaling, health checks, routing-propagation waits, and optional metric gates. Canary rollouts move traffic through defined percentages and can compare router-side latency, error rate, or in-flight requests between source and target deployments, automatically pausing for human review when regressions, unavailable metrics, capacity shortages, or policy constraints occur. Operators can create, start, monitor, pause, resume, promote, cancel, or reverse rollouts through the CLI, REST API, or Python SDK; cancellation freezes the current traffic split, while a reverse rollout moves traffic back safely. The platform is designed to prevent traffic from reaching unready capacity, preserve sufficient replicas for each traffic share, respect autoscaling policies, and avoid declaring a regressed step successful. In a demonstrated Qwen2.5-7B to Qwen3.5-9B migration, a p95 latency gate detected a 137% regression at 10% traffic, paused the rollout, and enabled reversal to the original model without failed requests across 6,800 live requests.

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