curl --request POST \
  --url 'https://api.elkapi.com/v1/completions' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gpt-5.5",
  "prompt": "一只小猫在阳光下的花园里奔跑，电影感，高细节",
  "max_tokens": 1024,
  "temperature": 1,
  "stream": false
}'

import requests

url = "https://api.elkapi.com/v1/completions"
headers = {
    "Authorization": "Bearer <token>"
}
headers["Content-Type"] = "application/json"
payload = {
    "model": "gpt-5.5",
    "prompt": "一只小猫在阳光下的花园里奔跑，电影感，高细节",
    "max_tokens": 1024,
    "temperature": 1,
    "stream": False
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())

const url = "https://api.elkapi.com/v1/completions";

const headers = {
  "Authorization": "Bearer <token>"
};
headers["Content-Type"] = "application/json";
const payload = {
  "model": "gpt-5.5",
  "prompt": "一只小猫在阳光下的花园里奔跑，电影感，高细节",
  "max_tokens": 1024,
  "temperature": 1,
  "stream": false
};

const response = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(payload)
});

console.log(await response.json());

{
  "id": "id",
  "object": "text_completion",
  "created": 1,
  "model": "gpt-5.5",
  "choices": [
    {
      "text": "你好，请介绍一下你自己",
      "index": 1,
      "finish_reason": "finish_reason"
    }
  ],
  "usage": {
    "prompt_tokens": 1,
    "completion_tokens": 1,
    "total_tokens": 1,
    "prompt_tokens_details": {
      "cached_tokens": 1,
      "text_tokens": 1,
      "audio_tokens": 1,
      "image_tokens": 1
    },
    "completion_tokens_details": {
      "text_tokens": 1,
      "audio_tokens": 1,
      "reasoning_tokens": 1
    }
  }
}