API reference · KwaiVGI

kwaivgi/kling-video/o1/standard/edit

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run
Model IDkwaivgi/kling-video/o1/standard/edit
01

Input Schema

4 parameters · 1 required · 3 optional

ParameterTypeRequiredDescription
promptstringRequiredUse @Element1, @Element2 to reference elements and @Image1, @Image2 to reference images in order. · Max length: 2500
videostringOptionalReference video URL. Only .mp4/.mov formats supported, 3-10 seconds duration, 720-2160px resolution, max 200MB. Max file size: 200.0MB, Min width: 720px, Min height: 720px, Max width: 2160px, Max height: 2160px, Min duration: 3.0s, Max duration: 10.05s, Min FPS: 24.0, Max FPS: 60.0, Timeout: 30.0s
imagesstring[]OptionalReference images for style/appearance. Reference in prompt as @Image1, @Image2, etc. Maximum 4 total (elements + reference images) when using video.
keep_audiobooleanOptionalWhether to keep the original audio from the video. · Default: false
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "kwaivgi/kling-video/o1/standard/edit",
    "video": "https://static.sandbase.ai/examples/mirrored/2038bf1f9c5a-ku8_Wdpf-oTbGRq4lB5DU_output.mp4",
    "images": [
      "https://static.sandbase.ai/examples/mirrored/e24d46d32342-MKvhFko5_wYnfORYacNII_AgPt8v25Wt4oyKhjnhVK5.png"
    ],
    "prompt": "Replace the character in the video with @Element1, maintaining the same movements and camera angles. Transform the landscape into @Image1",
    "keep_audio": false
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);