Client

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

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.

const client = new wavekit.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

Client

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

stream.pipe(retry( maxAttempts: 3, backoff: 'exponential' ), timeout(30000)).subscribe(console.log);

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