Veo 3.1

curl https://llm.bytespike.ai/v1/tasks/submit \
  -H "x-api-key: $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model": "veo-3.1", "prompt": "Drone shot along river", "duration_seconds": 5, "resolution": "1080p"}'

import time, requests

API = "https://llm.bytespike.ai/v1"
HEADERS = {"x-api-key": "$BYTESPIKE_API_KEY"}

submit = requests.post(
    f"{API}/tasks/submit",
    headers=HEADERS,
    json={"model": "veo-3.1", "prompt": "Drone shot along river", "duration_seconds": 5, "resolution": "1080p"},
).json()
task_id = submit["task_id"]

while True:
    r = requests.get(f"{API}/tasks/query", params={"task_id": task_id}, headers=HEADERS).json()
    if r["status"] == "completed":
        print(r["result"]["video_url"])
        break
    if r["status"] in ("failed", "cancelled"):
        raise RuntimeError(r)
    time.sleep(2)

const API = "https://llm.bytespike.ai/v1"
const headers = { "x-api-key": process.env.BYTESPIKE_API_KEY, "content-type": "application/json" }

const { task_id } = await fetch(`${API}/tasks/submit`, {
  method: "POST", headers,
  body: JSON.stringify({ model: "veo-3.1", prompt: "Drone shot along river", duration_seconds: 5, resolution: "1080p" }),
}).then((r) => r.json())

while (true) {
  const r = await fetch(`${API}/tasks/query?task_id=${task_id}`, { headers }).then((r) => r.json())
  if (r.status === "completed") { console.log(r.result.video_url); break }
  if (r.status === "failed" || r.status === "cancelled") throw new Error(JSON.stringify(r))
  await new Promise((r) => setTimeout(r, 2000))
}