API reference · OpenAI

openai/gpt-image-2

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 IDopenai/gpt-image-2

Input Schema

5 parameters · 1 required · 4 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The text prompt to generate an image from. · Min length: 3 · Max length: 50000 · Default: "Generate an image of gray tabby cat hugging an otter with an orange scarf"
`quality`	string	Optional	Quality for the generated image · Options: low, medium, high · Default: "high" lowmediumhigh
`resolution`	string	Optional	The resolution of the generated image. Leave unset to preserve the provider's standard dimensions. · Options: 1k, 2k, 4k 1k2k4k
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, 21:9 · Default: "1:1" 1:11:22:11:33:12:33:23:44:34:55:49:1616:99:2121:9
`output_format`	string	Optional	The format of the generated image. · Options: jpeg, png, webp · Default: "png" jpegpngwebp

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": "openai/gpt-image-2",
    "prompt": "Generate an image of gray tabby cat hugging an otter with an orange scarf",
    "quality": "high",
    "aspect_ratio": "1:1",
    "output_format": "png"
  }),
});

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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