Modele AI jako endpointy REST.

curl https://kadraris.com/v1/generate?wait=60 \
  -H "Authorization: Bearer $KADRARIS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "seedance-2.5",
  "input": {
    "prompt": "Tracking shot of a cyclist riding through an empty city street at dawn, long shadows, light fog, film look",
    "aspect_ratio": "adaptive",
    "resolution": "720p",
    "duration": 5
  }
}'

import os, time, requests

API = "https://kadraris.com/v1"
H = {"Authorization": f"Bearer {os.environ['KADRARIS_API_KEY']}"}

task = requests.post(f"{API}/generate", headers=H, json={
    "model": "seedance-2.5",
    "input": {
        "prompt": "Tracking shot of a cyclist riding through an empty city street at dawn, long shadows, light fog, film look",
        "aspect_ratio": "adaptive",
        "resolution": "720p",
        "duration": 5
    }
}).json()
while task["status"] in ("queued", "running"):
    time.sleep(3)
    task = requests.get(f"{API}/tasks/{task['id']}", headers=H).json()

print(task["status"], task["cost"], [o["url"] for o in task["output"]])

const API = "https://kadraris.com/v1";
const headers = { Authorization: `Bearer ${process.env.KADRARIS_API_KEY}`, "Content-Type": "application/json" };

let task = await (await fetch(`${API}/generate`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "seedance-2.5",
    "input": {
      "prompt": "Tracking shot of a cyclist riding through an empty city street at dawn, long shadows, light fog, film look",
      "aspect_ratio": "adaptive",
      "resolution": "720p",
      "duration": 5
    }
  }),
})).json();

while (task.status === "queued" || task.status === "running") {
  await new Promise((r) => setTimeout(r, 3000));
  task = await (await fetch(`${API}/tasks/${task.id}`, { headers })).json();
}
console.log(task.status, task.cost, task.output.map((o) => o.url));