Client

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

const result = await stream.request('POST', '/transform',  data: payload ,  timeout: 5000 );

Authentication tokens are rotated silently in the background; your code never handles credentials directly.

Client

Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.