# Using npm
npm install @visent/sdk

# Using yarn
yarn add @visent/sdk

# Using pnpm
pnpm add @visent/sdk

const { VisentClient } = require('@visent/sdk');

// Initialize client
const client = new VisentClient({
  apiKey: process.env.VISENT_API_KEY,
  // Optional: specify environment
  environment: 'production' // or 'staging'
});

// TypeScript/ES modules
import { VisentClient } from '@visent/sdk';

const client = new VisentClient({
  apiKey: process.env.VISENT_API_KEY
});

// Get current GPU metrics
const metrics = await client.telemetry.getMetrics({
  node: 'gpu-worker-1',
  gpu: 0
});

console.log('GPU Utilization:', metrics.utilization);
console.log('Memory Usage:', metrics.memory_used);

// Stream real-time metrics
const stream = client.telemetry.streamMetrics({
  nodes: ['gpu-worker-1', 'gpu-worker-2']
});

stream.on('data', (metric) => {
  console.log('New metric:', metric);
});

stream.on('error', (error) => {
  console.error('Stream error:', error);
});

// Get current pricing
const pricing = await client.atlas.getCurrentPricing({
  gpu: 'h100',
  provider: 'aws',
  region: 'us-east-1'
});

console.log('Price per hour:', pricing.price_per_hour);

// Get cost optimization recommendations
const recommendations = await client.atlas.getOptimizationRecommendations({
  workload: 'ml-training',
  budget: 10000,
  duration: '30d'
});

// Start a benchmark
const benchmark = await client.forge.startBenchmark({
  type: 'ml-training',
  gpu: 'h100',
  config: {
    model: 'resnet50',
    batch_size: 32,
    iterations: 100
  }
});

// Monitor benchmark progress
const job = await client.forge.waitForCompletion(benchmark.job_id);
console.log('Benchmark completed:', job.results);