MiniMax-AI/skills · error · SystemExit

No task_id in response: {json.dumps(data, indent=2)}

Error message

No task_id in response: {json.dumps(data, indent=2)}

What it means

create_task() got HTTP 2xx and base_resp.status_code 0, but the response has no task_id field. task_id is required to poll the async job, so without it the pipeline cannot continue. The full JSON is dumped.

Source

Thrown at skills/frontend-dev/scripts/minimax_video.py:74

        "prompt": prompt,
        "duration": duration,
        "resolution": resolution,
        "prompt_optimizer": prompt_optimizer,
    }

    resp = requests.post(
        f"{API_BASE}/video_generation",
        headers=_headers(),
        json=payload,
        timeout=30,
    )
    resp.raise_for_status()
    data = resp.json()
    _check_resp(data)

    task_id = data.get("task_id")
    if not task_id:
        raise SystemExit(f"No task_id in response: {json.dumps(data, indent=2)}")
    return task_id


def poll_task(task_id: str, interval: int = 10, max_wait: int = 600) -> str:
    """Poll task status until Success. Returns file_id."""
    elapsed = 0
    while elapsed < max_wait:
        resp = requests.get(
            f"{API_BASE}/query/video_generation",
            headers=_headers(),
            params={"task_id": task_id},
            timeout=30,
        )
        resp.raise_for_status()
        data = resp.json()
        _check_resp(data)

        status = data.get("status", "")

View on GitHub (pinned to 60aaae52bb)

Solutions

1. Inspect the dumped JSON to locate the actual identifier key and adapt the lookup.
2. Retry once in case of a transient malformed response.
3. Confirm the model name and region are a supported combination (unsupported combos can yield odd success shapes).
4. If the key genuinely moved, update `data.get('task_id')` to read the correct field.

Example fix

// before: single expected key
task_id = data.get("task_id")

// after: tolerate common alternate keys
task_id = (data.get("task_id")
           or data.get("id")
           or data.get("data", {}).get("task_id"))
if not task_id:
    raise RuntimeError(f"no task_id in response: {data}")

def read_task_id(data: dict):
    """Return task_id from any plausible location, else None."""
    for path in (("task_id",), ("id",), ("data", "task_id")):
        v = data
        for k in path:
            v = v.get(k, {}) if isinstance(v, dict) else None
        if v:
            return v
    return None

def has_task_id(data: dict) -> bool:
    """True when the create response carries an identifier to poll."""
    return bool(read_task_id(data))

for attempt in range(2):
    data = create_task_api(payload)
    if data.get("base_resp", {}).get("status_code", 0) == 0:
        task_id = read_task_id(data)
        if task_id:
            return task_id
    time.sleep(3)
raise RuntimeError(f"no task_id after retries: {data}")

When it happens

Trigger: A create-task response that succeeded at the API level but omitted task_id — an API schema change, an alternate success shape for a model/region, or an endpoint that returned a different identifier field name.

Common situations: Model or region returns the id under a different key (e.g. id, data.task_id); API version drift; an account-tier-specific response shape; rarely a transient malformed response.

Related errors

• Task succeeded but no file_id returned
• No download_url in response: {json.dumps(data, indent=2)}
• No audio in response: {json.dumps(data, indent=2)}
• No audio in response: {json.dumps(data, indent=2)}
• API Error [{code}]: {msg}

AI-assisted analysis of MiniMax-AI/skills@60aaae52bb (2026-08-13). Data as JSON: /api/errors/591f63ca43d1101d. Report an issue: GitHub.