curl --request POST \
  --url 'https://api.elkapi.com/v1/responses' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gpt-5.5",
  "input": "今天天气真好，适合出去散步。",
  "temperature": 1,
  "stream": false
}'

import requests

url = "https://api.elkapi.com/v1/responses"
headers = {
    "Authorization": "Bearer <token>"
}
headers["Content-Type"] = "application/json"
payload = {
    "model": "gpt-5.5",
    "input": "今天天气真好，适合出去散步。",
    "temperature": 1,
    "stream": False
}

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

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

const headers = {
  "Authorization": "Bearer <token>"
};
headers["Content-Type"] = "application/json";
const payload = {
  "model": "gpt-5.5",
  "input": "今天天气真好，适合出去散步。",
  "temperature": 1,
  "stream": false
};

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

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

{
  "id": "id",
  "object": "response",
  "created_at": 1,
  "status": "completed",
  "model": "gpt-5.5",
  "output": [
    {
      "type": "type",
      "id": "id",
      "status": "status",
      "role": "user",
      "content": "你好，请介绍一下你自己"
    }
  ],
  "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
    }
  }
}