> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.tramlabs.io/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.tramlabs.io/_mcp/server.

# Tạo video

POST https://api.tramlabs.io/v1/videos
Content-Type: application/json

Gửi request tạo video (bất đồng bộ). Trả về job ID để poll trạng thái.


Reference: https://docs.tramlabs.io/api/endpoints/chat-completions/videos/create-video

## Authentication

- `Authorization` header (bearer token, required) — API key làm bearer token. Tạo API key tại [Console](https://console.tramlabs.io/keys).

## Request

### Body (application/json)

This endpoint expects a VideoCreateRequest.

- `model` (string, required) — Model ID. Chọn model có mode: `video_generation` (ví dụ: `veo-3.1`, `seedance-2.0-mini`)
- `prompt` (string, required) — Text mô tả video (tối đa 10.000 ký tự)
- `seconds` (integer, optional) — Thời lượng video (giây). Phải nằm trong `allowedDurations` của model
- `size` (string, optional) — Kích thước / tỷ lệ khung hình (ví dụ: `1280x720`, `16:9`)
- `input_reference` (VideoCreateRequestInputReference, optional) — Ảnh first frame cho image-to-video
- `last_frame` (VideoCreateRequestLastFrame, optional) — Ảnh last frame (chỉ model Seedance). Phải gửi kèm input_reference
- `reference_images` (list of string, optional) — Danh sách URL hoặc data URI ảnh tham khảo (tối đa 9, chỉ model Seedance)
- `resolution` (string, optional) — Độ phân giải (ví dụ: `480p`, `720p`, `1080p`, `4k`). Chỉ model Seedance
- `seed` (integer, optional) — Seed để tạo kết quả có thể tái tạo
- `generate_audio` (boolean, optional) — Tạo âm thanh đồng bộ
- `watermark` (boolean, optional) — Đóng dấu AI-generated vào video (chỉ model Seedance)
- `return_last_frame` (boolean, optional) — Trả URL ảnh frame cuối khi hoàn tất (chỉ model Seedance)
- `parameters` (VideoCreateRequestParameters, optional) — Tham số pass-through đến provider

## Response

### 202

Job đã tạo

- `id` (string, optional)
- `object` (string, optional)
- `status` (enum, optional) — - `submitted`: Job đã được gửi và đang trong hàng đợi - `processing`: Video đang được tạo - `completed`: Video đã sẵn sàng để tải - `failed`: Quá trình tạo thất bại - `expired`: Job đã hết hạn trước khi hoàn tất
  - Allowed values: `submitted`, `processing`, `completed`, `failed`, `expired`
- `model` (string, optional)
- `created_at` (integer, optional)
- `completed_at` (integer, optional)
- `result` (VideoJobResult, optional)
- `usage` (VideoJobUsage, optional)
- `error` (VideoJobError, optional)

## Errors

### 400 Bad Request Error

Request không hợp lệ

- `error` (ErrorResponseError, optional)

### 401 Unauthorized Error

API key không hợp lệ hoặc thiếu

- `error` (ErrorResponseError, optional)

### 403 Forbidden Error

Vượt budget hoặc model không được phép

- `error` (ErrorResponseError, optional)

### 429 Too Many Requests Error

Rate limit exceeded

- `error` (ErrorResponseError, optional)

## Types

### VideoCreateRequestInputReference

Ảnh first frame cho image-to-video

- string
- VideoCreateRequestInputReference1

### VideoCreateRequestLastFrame

Ảnh last frame (chỉ model Seedance). Phải gửi kèm input_reference

- string
- VideoCreateRequestLastFrame1

### VideoCreateRequestParameters

Tham số pass-through đến provider

### VideoJobResult

- `duration_seconds` (integer, optional)

### VideoJobUsage

- `duration_seconds` (integer, optional)
- `cost_vnd` (integer, optional)

### VideoJobError

- `message` (string, optional)

### ErrorResponseError

- `message` (string, optional)
- `type` (string, optional)
- `code` (string, optional)

### VideoCreateRequestInputReference1

- `bytesBase64Encoded` (string, optional)
- `mimeType` (string, optional)

### VideoCreateRequestLastFrame1

- `bytesBase64Encoded` (string, optional)
- `mimeType` (string, optional)

## Examples

**Request**

```json
{
  "model": "veo-3.1",
  "prompt": "A golden retriever playing fetch on a sunny beach",
  "seconds": 4
}
```

**SDK Code**

```python
import requests

url = "https://api.tramlabs.io/v1/videos"

payload = {
    "model": "veo-3.1",
    "prompt": "A golden retriever playing fetch on a sunny beach",
    "seconds": 4
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
```

```javascript
const url = 'https://api.tramlabs.io/v1/videos';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"model":"veo-3.1","prompt":"A golden retriever playing fetch on a sunny beach","seconds":4}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.tramlabs.io/v1/videos"

	payload := strings.NewReader("{\n  \"model\": \"veo-3.1\",\n  \"prompt\": \"A golden retriever playing fetch on a sunny beach\",\n  \"seconds\": 4\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://api.tramlabs.io/v1/videos")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"veo-3.1\",\n  \"prompt\": \"A golden retriever playing fetch on a sunny beach\",\n  \"seconds\": 4\n}"

response = http.request(request)
puts response.read_body
```

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.tramlabs.io/v1/videos")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"veo-3.1\",\n  \"prompt\": \"A golden retriever playing fetch on a sunny beach\",\n  \"seconds\": 4\n}")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.tramlabs.io/v1/videos', [
  'body' => '{
  "model": "veo-3.1",
  "prompt": "A golden retriever playing fetch on a sunny beach",
  "seconds": 4
}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://api.tramlabs.io/v1/videos");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"model\": \"veo-3.1\",\n  \"prompt\": \"A golden retriever playing fetch on a sunny beach\",\n  \"seconds\": 4\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [
  "model": "veo-3.1",
  "prompt": "A golden retriever playing fetch on a sunny beach",
  "seconds": 4
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://api.tramlabs.io/v1/videos")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```