API reference · KwaiVGI

kwaivgi/kling-video/video-to-audio

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

AUDIOAsyncOpen 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/video-to-audio

Input Schema

4 parameters · 0 required · 4 optional

Parameter	Type	Required	Description
`video`	string	Optional	The video URL to extract audio from. Only .mp4/.mov formats are supported. File size does not exceed 100MB. Video duration between 3.0s and 20.0s.
`asmr_mode`	boolean	Optional	Enable ASMR mode. This mode enhances detailed sound effects and is suitable for highly immersive content scenarios. · Default: false
`sound_effect_prompt`	string	Optional	Sound effect prompt. Cannot exceed 200 characters. · Max length: 200 · Default: "Car tires screech as they accelerate in a drag race"
`background_music_prompt`	string	Optional	Background music prompt. Cannot exceed 200 characters. · Max length: 200 · Default: "intense car race"

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

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

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

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/video-to-audio",
    "video": "https://static.sandbase.ai/examples/kwaivgi/kling-video/video-to-audio/output_url_0.mp4",
    "asmr_mode": false,
    "sound_effect_prompt": "Car tires screech as they accelerate in a drag race",
    "background_music_prompt": "intense car race"
  }),
});

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);

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