> ## Documentation Index
> Fetch the complete documentation index at: https://gccai.heqingsong.uk/llms.txt
> Use this file to discover all available pages before exploring further.

# Kling Video O1 Video Generation

>  - Reasoning-enhanced model for highest quality video generation
- Async processing mode, returns task ID for subsequent queries
- Unified text-to-video/image-to-video interface with image reference syntax
- Supports standard mode (720P) and professional mode (1080P)
- Reference images in prompts using `<<<image_N>>>` syntax 

<RequestExample>
  ```bash cURL theme={null}
  curl --request POST \
    --url https://gccai.heqingsong.uk/v1/videos/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "kling-video-o1",
      "prompt": "Make the person in <<<image_1>>> wave at the camera",
      "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "mode": "std",
      "duration": 5,
      "aspect_ratio": "16:9"
    }'
  ```

  ```python Python theme={null}
  import requests

  url = "https://gccai.heqingsong.uk/v1/videos/generations"

  payload = {
      "model": "kling-video-o1",
      "prompt": "Make the person in <<<image_1>>> wave at the camera",
      "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "mode": "std",
      "duration": 5,
      "aspect_ratio": "16:9"
  }

  headers = {
      "Authorization": "Bearer <token>",
      "Content-Type": "application/json"
  }

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

  print(response.json())
  ```

  ```javascript JavaScript theme={null}
  const url = "https://gccai.heqingsong.uk/v1/videos/generations";

  const payload = {
    model: "kling-video-o1",
    prompt: "Make the person in <<<image_1>>> wave at the camera",
    image_urls: ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    mode: "std",
    duration: 5,
    aspect_ratio: "16:9"
  };

  const headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  };

  fetch(url, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(payload)
  })
    .then(response => response.json())
    .then(data => console.log(data))
    .catch(error => console.error('Error:', error));
  ```

  ```go Go theme={null}
  package main

  import (
      "bytes"
      "encoding/json"
      "fmt"
      "io/ioutil"
      "net/http"
  )

  func main() {
      url := "https://gccai.heqingsong.uk/v1/videos/generations"

      payload := map[string]interface{}{
          "model":        "kling-video-o1",
          "prompt":       "Make the person in <<<image_1>>> wave at the camera",
          "image_urls":   []string{"https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
          "mode":         "std",
          "duration":     5,
          "aspect_ratio": "16:9",
      }

      jsonData, _ := json.Marshal(payload)

      req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
      req.Header.Set("Authorization", "Bearer <token>")
      req.Header.Set("Content-Type", "application/json")

      client := &http.Client{}
      resp, err := client.Do(req)
      if err != nil {
          panic(err)
      }
      defer resp.Body.Close()

      body, _ := ioutil.ReadAll(resp.Body)
      fmt.Println(string(body))
  }
  ```

  ```java Java theme={null}
  import java.net.http.HttpClient;
  import java.net.http.HttpRequest;
  import java.net.http.HttpResponse;
  import java.net.URI;

  public class Main {
      public static void main(String[] args) throws Exception {
          String url = "https://gccai.heqingsong.uk/v1/videos/generations";

          String payload = """
          {
            "model": "kling-video-o1",
            "prompt": "Make the person in <<<image_1>>> wave at the camera",
            "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
            "mode": "std",
            "duration": 5,
            "aspect_ratio": "16:9"
          }
          """;

          HttpClient client = HttpClient.newHttpClient();
          HttpRequest request = HttpRequest.newBuilder()
              .uri(URI.create(url))
              .header("Authorization", "Bearer <token>")
              .header("Content-Type", "application/json")
              .POST(HttpRequest.BodyPublishers.ofString(payload))
              .build();

          HttpResponse<String> response = client.send(request,
              HttpResponse.BodyHandlers.ofString());

          System.out.println(response.body());
      }
  }
  ```

  ```php PHP theme={null}
  <?php

  $url = "https://gccai.heqingsong.uk/v1/videos/generations";

  $payload = [
      "model" => "kling-video-o1",
      "prompt" => "Make the person in <<<image_1>>> wave at the camera",
      "image_urls" => ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "mode" => "std",
      "duration" => 5,
      "aspect_ratio" => "16:9"
  ];

  $ch = curl_init($url);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_POST, true);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
      "Authorization: Bearer <token>",
      "Content-Type: application/json"
  ]);

  $response = curl_exec($ch);
  curl_close($ch);

  echo $response;
  ?>
  ```

  ```ruby Ruby theme={null}
  require 'net/http'
  require 'json'
  require 'uri'

  url = URI("https://gccai.heqingsong.uk/v1/videos/generations")

  payload = {
    model: "kling-video-o1",
    prompt: "Make the person in <<<image_1>>> wave at the camera",
    image_urls: ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    mode: "std",
    duration: 5,
    aspect_ratio: "16:9"
  }

  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 = payload.to_json

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

  ```swift Swift theme={null}
  import Foundation

  let url = URL(string: "https://gccai.heqingsong.uk/v1/videos/generations")!

  let payload: [String: Any] = [
      "model": "kling-video-o1",
      "prompt": "Make the person in <<<image_1>>> wave at the camera",
      "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "mode": "std",
      "duration": 5,
      "aspect_ratio": "16:9"
  ]

  var request = URLRequest(url: url)
  request.httpMethod = "POST"
  request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
  request.setValue("application/json", forHTTPHeaderField: "Content-Type")
  request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

  let task = URLSession.shared.dataTask(with: request) { data, response, error in
      if let error = error {
          print("Error: \(error)")
          return
      }

      if let data = data, let responseString = String(data: data, encoding: .utf8) {
          print(responseString)
      }
  }

  task.resume()
  ```

  ```csharp C# theme={null}
  using System;
  using System.Net.Http;
  using System.Text;
  using System.Threading.Tasks;

  class Program
  {
      static async Task Main(string[] args)
      {
          var url = "https://gccai.heqingsong.uk/v1/videos/generations";

          var payload = @"{
              ""model"": ""kling-video-o1"",
              ""prompt"": ""Make the person in <<<image_1>>> wave at the camera"",
              ""image_urls"": [""https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
              ""mode"": ""std"",
              ""duration"": 5,
              ""aspect_ratio"": ""16:9""
          }";

          using var client = new HttpClient();
          client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

          var content = new StringContent(payload, Encoding.UTF8, "application/json");
          var response = await client.PostAsync(url, content);
          var result = await response.Content.ReadAsStringAsync();

          Console.WriteLine(result);
      }
  }
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "code": 200,
    "data": [
      {
        "status": "submitted",
        "task_id": "task_xxxxxxxxxx"
      }
    ]
  }
  ```

  ```json 400 theme={null}
  {
    "error": {
      "code": 400,
      "message": "Invalid request parameters",
      "type": "invalid_request_error"
    }
  }
  ```

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Invalid authentication credentials",
      "type": "authentication_error"
    }
  }
  ```

  ```json 402 theme={null}
  {
    "error": {
      "code": 402,
      "message": "Insufficient balance. Please top up your account",
      "type": "payment_required"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Rate limit exceeded. Please try again later",
      "type": "rate_limit_error"
    }
  }
  ```

  ```json 500 theme={null}
  {
    "error": {
      "code": 500,
      "message": "Internal server error. Please try again later",
      "type": "server_error"
    }
  }
  ```
</ResponseExample>

## Authorization

<ParamField header="Authorization" type="string" required>
  All API endpoints require Bearer Token authentication

  Get your API Key:

  Visit the [API Key Management Page](https://gccai.heqingsong.uk/keys) to get your API Key

  Add it to the request header:

  ```
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## Request Parameters

<ParamField body="model" type="string" required>
  Video generation model name

  Supported models:

  * `kling-video-o1` - Kling Video O1 (reasoning-enhanced, highest quality)
</ParamField>

<ParamField body="prompt" type="string" required>
  Positive text prompt

  Supports referencing images from `image_urls` using `<<<image_N>>>` syntax, where `N` starts from 1.

  Example: `"Make the person in <<<image_1>>> wave at the camera"`

  <Note>
    If images are provided but the prompt does not contain any `<<<image_N>>>` reference, the system will automatically prepend `<<<image_1>>>` to the prompt.
  </Note>
</ParamField>

<ParamField body="mode" type="string" default="std">
  Generation mode

  Options:

  * `std` - Standard mode (720P)
  * `pro` - Professional mode (1080P)

  Default: `std`
</ParamField>

<ParamField body="duration" type="integer" default="5">
  Video duration (seconds)

  Options: `5` or `10`

  Default: `5`
</ParamField>

<ParamField body="aspect_ratio" type="string" default="16:9">
  Video aspect ratio

  Options:

  * `16:9` - Landscape
  * `9:16` - Portrait
  * `1:1` - Square

  Default: `16:9`
</ParamField>

<ParamField body="image_urls" type="array<url>">
  Image URL array for image referencing

  Reference corresponding images in the prompt using `<<<image_N>>>` syntax (N starts from 1)

  Example: `["https://example.png"]`

  <Warning>
    * Image URLs must be publicly accessible without hotlink protection
    * In image-to-video mode, `aspect_ratio` may be overridden by the actual image ratio
    * Up to two images. The first item in the array is the start frame, and the second is the end frame
  </Warning>
</ParamField>

<ParamField body="image_with_roles" type="array<object>">
  Role-based image array, recommended for image-to-video.

  Each item format: `{ "url": "...", "role": "..." }`

  * `first_frame`: first frame
  * `last_frame`: last frame
  * `reference`: reference image

  <Warning>
    - `image_urls` and `image_with_roles` are mutually exclusive, do not pass both.
    - When more than 2 images are provided, setting start/end frames is not supported.
  </Warning>
</ParamField>

<ParamField body="video_list" type="array" optional>
  Reference video list (URL-based), up to 1 video.

  Use `refer_type` to distinguish types:

  * `base`: video to be edited (default)
  * `feature`: feature reference video

  Use `keep_original_sound` to control whether to keep original audio:

  * `no`: do not keep (default)
  * `yes`: keep original sound

  Request format:

  ```json theme={null}
  "video_list":[
    { "video_url": "video_url", "refer_type": "base", "keep_original_sound": "no" }
  ]
  ```

  <Warning>
    * `video_url` cannot be empty, and the video URL must be accessible
    * When `refer_type=base`:
      * Start/end frames cannot be defined
      * Reference video must be 3-10 seconds
      * Generated video duration follows the uploaded video
    * When `refer_type=feature` and `video_url` is not empty:
      * `image_urls` can only include a first-frame image
    * Video requirements: MP4/MOV only; duration at least 3 seconds; resolution 720px-2160px; frame rate 24-60fps (output is 24fps); size no more than 200MB
  </Warning>
</ParamField>

## Image Reference Syntax

The Video O1 model uses `<<<image_N>>>` syntax to reference images in prompts, providing a unified text-to-video/image-to-video experience:

| Syntax          | Description                                        |
| --------------- | -------------------------------------------------- |
| `<<<image_1>>>` | References the 1st image in the `image_urls` array |
| `<<<image_2>>>` | References the 2nd image in the `image_urls` array |

<Note>
  **Auto Reference**: If `image_urls` is provided but the prompt does not contain any `<<<image_N>>>` reference, the system will automatically prepend `<<<image_1>>>` to the prompt.
</Note>

## Response

<ResponseField name="code" type="integer">
  Response status code, 200 on success
</ResponseField>

<ResponseField name="data" type="array">
  Response data array

  <Expandable title="Array Elements">
    <ResponseField name="status" type="string">
      Task status, `submitted` when initially submitted
    </ResponseField>

    <ResponseField name="task_id" type="string">
      Unique task identifier for querying task status and results
    </ResponseField>
  </Expandable>
</ResponseField>

## Use Cases

### Case 1: Text-to-Video (Highest Quality)

```json theme={null}
{
  "model": "kling-video-o1",
  "prompt": "A cinematic shot of a city skyline at golden hour",
  "mode": "pro",
  "duration": 5,
  "aspect_ratio": "16:9"
}
```

### Case 2: Image Reference (Single Image)

```json theme={null}
{
  "model": "kling-video-o1",
  "prompt": "Make the person in <<<image_1>>> wave at the camera",
  "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "pro",
  "duration": 5
}
```

### Case 3: Multiple Image References

```json theme={null}
{
  "model": "kling-video-o1",
  "prompt": "The character in <<<image_1>>> walks toward the scene in <<<image_2>>>",
  "image_urls": [
    "https://example.com/character.jpg",
    "https://example.com/scene.jpg"
  ],
  "mode": "pro",
  "duration": 5
}
```

### Case 4: Image Provided Without Explicit Reference (Auto-added)

```json theme={null}
{
  "model": "kling-video-o1",
  "prompt": "The person slowly turns and smiles",
  "image_urls": ["https://upload.gccai.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "std",
  "duration": 5
}
```

> The system will automatically prepend `<<<image_1>>>` to the prompt, equivalent to `"<<<image_1>>>The person slowly turns and smiles"`.

<Note>
  **Query Task Results**

  Video generation is an async task that returns a `task_id` upon submission. Use the [Get Task Status](/en/api-reference/tasks/status) endpoint to query generation progress and results.
</Note>