API reference · OpenAI
openai/gpt-5.6-luna-pro
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/chat/completionsModel ID
openai/gpt-5.6-luna-pro01
Input Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
messages | object[] | Required | — |
seed | integer | Optional | — |
tools | array | Optional | — |
stream | boolean | Optional | Default: false |
max_tokens | integer | Optional | Max: 128000 |
temperature | number | Optional | Min: 0 · Max: 2 · Default: 1 |
tool_choice | string | Optional | — |
response_format | object | Optional | — |
02
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the completion |
object | string | Object type, e.g. "chat.completion" |
model | string | Model used for the completion |
choices | array | List of completion choices |
choices[].message.content | string | Generated text content |
choices[].finish_reason | string | Reason the generation stopped |
usage.prompt_tokens | integer | Number of tokens in the prompt |
usage.completion_tokens | integer | Number of tokens in the completion |
usage.total_tokens | integer | Total tokens used |
03
Code Examples
Ready-to-run snippets
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-5.6-luna-pro",
"messages": [
{
"role": "user",
"content": "Hello"
}
],
"max_tokens": 2048
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());