veo-3.1-lite-image

# create
import requests

resp = requests.post(
    "https://videorouter.sh/api/v1/videos",
    headers={"Authorization": "Bearer llmr_sk_...", "Content-Type": "application/json"},
    json={"model": "google/veo-3.1-lite/wavespeedai", "prompt": "A drone shot flying over snowy mountains", "duration_secs": 5},
)
job = resp.json()

# poll
status = requests.get(
    f"https://videorouter.sh/api/v1/videos/{job['id']}",
    headers={"Authorization": "Bearer llmr_sk_..."},
).json()
print(status["status"])  # pending -> in_progress -> completed

// create
const res = await fetch("https://videorouter.sh/api/v1/videos", {
  method: "POST",
  headers: {
    Authorization: "Bearer llmr_sk_...",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "google/veo-3.1-lite/wavespeedai",
    prompt: "A drone shot flying over snowy mountains",
    duration_secs: 5,
  }),
});
const job = await res.json();

// poll
const statusRes = await fetch(`https://videorouter.sh/api/v1/videos/${job.id}`, {
  headers: { Authorization: "Bearer llmr_sk_..." },
});
const status = await statusRes.json();
console.log(status.status);  // pending -> in_progress -> completed

# create
curl https://videorouter.sh/api/v1/videos \
  -H "Authorization: Bearer llmr_sk_..." \
  -H "Content-Type: application/json" \
  -d '{"model": "google/veo-3.1-lite/wavespeedai", "prompt": "A drone shot flying over snowy mountains", "duration_secs": 5}'

# poll (repeat until status is "completed" or "failed")
curl https://videorouter.sh/api/v1/videos/video_... \
  -H "Authorization: Bearer llmr_sk_..."