from rotastellar import RotaStellarClient

client = RotaStellarClient(api_key="rs_...")

# Submit inference job with constraints
job = client.runtime.submit(
    model="llama-70b",
    prompt="Analyze this satellite telemetry...",
    constraints={
        "latency_sla_ms": 200,
        "energy_budget_wh": 0.5,
        "quality": "best_effort"  # or "exact"
    }
)

# Job is routed to optimal node (Earth or orbit)
print(f"Job ID: {job.id}")
print(f"Routed to: {job.node}")  # e.g., "orbital-leo-1"
print(f"Estimated completion: {job.eta}")

# Get result
result = job.result(timeout=30)
print(f"Response: {result.text}")
print(f"Adaptations: {result.adaptations}")
print(f"Energy used: {result.energy_wh} Wh")

import { RotaStellarClient } from '@rotastellar/sdk';

const client = new RotaStellarClient({ apiKey: 'rs_...' });

const job = await client.runtime.submit({
  model: 'llama-70b',
  prompt: 'Analyze this satellite telemetry...',
  constraints: {
    latencySlams: 200,
    energyBudgetWh: 0.5,
    quality: 'best_effort'
  }
});

console.log(`Job ID: ${job.id}`);
console.log(`Routed to: ${job.node}`);

const result = await job.result({ timeout: 30000 });
console.log(`Response: ${result.text}`);

use rotastellar::RotaStellar;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = RotaStellar::new("rs_...")?;

    let job = client.runtime().submit(JobRequest {
        model: "llama-70b".to_string(),
        prompt: "Analyze this satellite telemetry...".to_string(),
        constraints: Constraints {
            latency_sla_ms: Some(200),
            energy_budget_wh: Some(0.5),
            quality: Quality::BestEffort,
        },
    }).await?;

    println!("Job ID: {}", job.id);
    println!("Routed to: {}", job.node);

    let result = job.result(30).await?;
    println!("Response: {}", result.text);

    Ok(())
}

curl -X POST https://api.rotastellar.com/v1/runtime/jobs \
  -H "Authorization: Bearer rs_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-70b",
    "prompt": "Analyze this satellite telemetry...",
    "constraints": {
      "latency_sla_ms": 200,
      "energy_budget_wh": 0.5,
      "quality": "best_effort"
    }
  }'