POST /tasks/query

curl https://llm.bytespike.ai/v1/tasks/query \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"task_id": "task_01HQX9F2P6Y8VEX3CRZ8GXJVD9"}'

curl https://llm.bytespike.ai/v1/tasks/query \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"out_task_id": "my-render-2026-05-25-001"}'

{
  "task_id": "task_01HQX9F2P6Y8VEX3CRZ8GXJVD9",
  "out_task_id": "my-render-2026-05-25-001",
  "status": "running",
  "estimated_credits": 1.50,
  "estimated_seconds": 35
}

{
  "task_id": "task_01HQX9F2P6Y8VEX3CRZ8GXJVD9",
  "out_task_id": "my-render-2026-05-25-001",
  "status": "completed",
  "credits_used": 1.47,
  "output": [
    {
      "type": "video",
      "url": "https://cdn.bytespike.ai/multimodal/veo-3-1/2026-05-25/01HQX9F2P6Y8VEX3CRZ8GXJVD9.mp4",
      "duration_seconds": 8,
      "width": 1920,
      "height": 1080
    }
  ]
}

{
  "task_id": "task_01HQX9F2P6Y8VEX3CRZ8GXJVD9",
  "out_task_id": "my-render-2026-05-25-001",
  "status": "failed",
  "error_code": "content_policy_violation",
  "error_message": "The prompt was rejected under content policy."
}

import time, requests

eta = submit_resp.json()["estimated_seconds"] or 30
sleep_for = max(2, eta // 6)  # poll ~6 times across the expected duration

while True:
    r = requests.post(
        "https://llm.bytespike.ai/v1/tasks/query",
        headers={"Authorization": f"Bearer {os.environ['BYTESPIKE_API_KEY']}"},
        json={"task_id": task_id},
    )
    state = r.json()
    if state["status"] in ("completed", "failed", "cancelled"):
        break
    time.sleep(sleep_for)