API Reference

OpenAI Video

POST https://api.tu-zi.com/v1/videos

Preview guide

Paste into an AI assistant to help with integration. Documentation and examples only; no real credentials.

# OpenAI Video

OpenAI Video

## Endpoint and authentication

`POST https://api.tu-zi.com/v1/videos`

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

```http
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
```

## Body parameters

| Field | Type | Required | Description / constraints |
| --- | --- | --- | --- |
| model | string | Yes | Video model identifier. Example: sora-2 |
| prompt | string | Yes | Video generation prompt. Example: 一段穿越云层的航拍镜头，电影感，8 秒 |
| seconds | string | No | Video duration in seconds. Form initial value (not an upstream default): "8" Values: "4", "8", "10", "12", "15", "25" Example: 8 |
| size | string | No | Video dimensions (width x height). Form initial value (not an upstream default): "1280x720" Values: "1280x720", "720x1280", "1792x1024", "1024x1792" Example: 1280x720 |
| input_reference | string \| array | No | Reference image or video: JSON accepts URL, data URL or base64; multipart allows repeated fields. Example: https://example.com/reference.png |
| watermark | boolean | No | Whether to include a watermark. Omitted requests use no watermark in this definition. Form initial value (not an upstream default): false Example: false |

## Minimal request example

```json
{
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}
```

## Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

## Code examples

### curl

```bash
curl --request POST 'https://api.tu-zi.com/v1/videos' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}'
```

### python

```python
import json
import os
import requests

url = "https://api.tu-zi.com/v1/videos"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\",\"Content-Type\":\"application/json\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
payload = json.loads("{\"model\":\"YOUR_MODEL\",\"prompt\":\"A valley at sunrise\"}")
response = requests.request("POST", url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
result = response.json()
if isinstance(result, dict) and (result.get("success") is False or result.get("error")):
    raise RuntimeError(json.dumps(result, ensure_ascii=False))
print(result)  # Also inspect protocol-specific status/code fields.
```

### javascript

```javascript
// Node.js 20+
const url = "https://api.tu-zi.com/v1/videos";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "POST", headers, body: JSON.stringify({
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}) });
if (!response.ok) throw new Error(await response.text());
const result = await response.json();
if (result?.success === false || result?.error) throw new Error(JSON.stringify(result));
console.log(result); // Also inspect protocol-specific status/code fields.
```

## Response fields

| Field | Type | Description / constraints |
| --- | --- | --- |
| id | string | Task ID used for polling. |
| status | string | Task state; terminal states depend on the model. |
| video_url | string | Some compatible models return this when complete; others use their result or content endpoint. |

Illustrative response; some endpoints show essential fields only. Optional fields may be absent.

```json
{
  "id": "task_example",
  "status": "queued"
}
```

## Asynchronous workflow

Save the submitted task ID; GET /v1/videos/{task_id} with the same credential. Poll until the protocol-specific success/failure state, then retrieve results. Some video models use /v1/videos/{task_id}/content. Back off polling; do not blindly resubmit a timed-out creation.

## Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

## Constraints

This page describes the base protocol. Use the selected model quick start for supported fields, enums, limits and asynchronous behavior. Replace YOUR_MODEL. Form initial values are not upstream defaults.

## Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-relay-openai-video

Related protocol guide: https://api.tu-zi.com/docs/api/video

This export contains documentation and examples only, without real credentials, account data or user requests.

Updated 2026-11-02 · Reviewed 2026-11-02

Endpoint and authentication

POST https://api.tu-zi.com/v1/videos

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Minimal request example

{
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}

Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

Constraints

This page describes the base protocol. Use the selected model quick start for supported fields, enums, limits and asynchronous behavior. Replace YOUR_MODEL. Form initial values are not upstream defaults.

Body parameters

Field	Type	Required	Description / constraints
model	string	Yes	Video model identifier. Example: sora-2
prompt	string	Yes	Video generation prompt. Example: 一段穿越云层的航拍镜头，电影感，8 秒
seconds	string	No	Video duration in seconds. Form initial value (not an upstream default): "8" Values: "4", "8", "10", "12", "15", "25" Example: 8
size	string	No	Video dimensions (width x height). Form initial value (not an upstream default): "1280x720" Values: "1280x720", "720x1280", "1792x1024", "1024x1792" Example: 1280x720
input_reference	string \| array	No	Reference image or video: JSON accepts URL, data URL or base64; multipart allows repeated fields. Example: https://example.com/reference.png
watermark	boolean	No	Whether to include a watermark. Omitted requests use no watermark in this definition. Form initial value (not an upstream default): false Example: false

Response fields

Field	Type	Description / constraints
id	string	Task ID used for polling.
status	string	Task state; terminal states depend on the model.
video_url	string	Some compatible models return this when complete; others use their result or content endpoint.

Illustrative response; some endpoints show essential fields only. Optional fields may be absent.

{
  "id": "task_example",
  "status": "queued"
}

Asynchronous workflow

Save the submitted task ID; GET /v1/videos/{task_id} with the same credential. Poll until the protocol-specific success/failure state, then retrieve results. Some video models use /v1/videos/{task_id}/content. Back off polling; do not blindly resubmit a timed-out creation.

Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

Document information and sources

Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-relay-openai-video

Related protocol guide: https://api.tu-zi.com/docs/api/video

This export contains documentation and examples only, without real credentials, account data or user requests.

Request examples

curl --request POST 'https://api.tu-zi.com/v1/videos' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}'

import json
import os
import requests

url = "https://api.tu-zi.com/v1/videos"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\",\"Content-Type\":\"application/json\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
payload = json.loads("{\"model\":\"YOUR_MODEL\",\"prompt\":\"A valley at sunrise\"}")
response = requests.request("POST", url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
result = response.json()
if isinstance(result, dict) and (result.get("success") is False or result.get("error")):
    raise RuntimeError(json.dumps(result, ensure_ascii=False))
print(result)  # Also inspect protocol-specific status/code fields.

// Node.js 20+
const url = "https://api.tu-zi.com/v1/videos";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "POST", headers, body: JSON.stringify({
  "model": "YOUR_MODEL",
  "prompt": "A valley at sunrise"
}) });
if (!response.ok) throw new Error(await response.text());
const result = await response.json();
if (result?.success === false || result?.error) throw new Error(JSON.stringify(result));
console.log(result); // Also inspect protocol-specific status/code fields.