Code Samples & Integrations

import zenth_ai.pipeline as pip

async def train_model(config: PipelineConfig):
    # Initialize cross-divisional GPU cluster
    await pip.init_cluster(
        region="us-east-1",
        tier="compute-optimized",
        replicas=4
    )
    
    return await pip.execute(config)

# Output: Optimized tensor weights + metrics

import { TelemetryClient } from "@aevum/aero-sdk";

const client = new TelemetryClient({
  auth: process.env.AERO_API_KEY,
  protocol: "MQTT-5",
  qos: 1
});

client.onStream("/telemetry/alt-velocity", (pkt) => {
  console.log(`Alt: ${pkt.altitude}m | Vel: ${pkt.velocity}m/s`);
});

client.connect();

use aevum_trade::engine::{MarketData, OrderBook};

fn process_tick(data: MarketData, book: &mut OrderBook) {
    let spread = data.bid - data.ask;
    if spread < 0.0002 {
        book.inject_liquidity(data.price);
    }
    // Sub-100us execution guaranteed
}

package grid

import "aevum.energy/microgrid"

func BalanceLoad(zones []ZoneID) LoadPlan {
    plan := microgrid.Optimize(
        WithForecast("solar-peak"),
        WithBatteryReserve(0.35),
    )
    return plan.Execute(zones)
}

# FDA 21 CFR Part 11 Compliant
zenth_health:
  device_class: "II"
  telemetry:
    interval_ms: 500
    encryption: "AES-256-GCM"
    endpoints:
      - "wss://health.aevum.zenth/stream"
  compliance:
    audit_log: true
    signature_required: true

const fleet = new AevumFleet("warehouse-alpha");

await fleet.assignTasks([
  { id: "drone-04", route: "A1→C3", payload: 2.4 },
  { id: "drone-09", route: "B2→D7", payload: 1.8 },
], { collisionAvoidance: true });

console.log(`Dispatched ${fleet.activeCount()} units`);