curl --request POST \
  --url https://api.pramaan.dev/v1/capabilities/image.expand \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "mode": "canvas",
  "image": {
    "url": "https://example.com/scene.png"
  },
  "canvas": {
    "width": 1536,
    "height": 1024
  },
  "quality": "best"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    mode: 'canvas',
    image: {url: 'https://example.com/scene.png'},
    canvas: {width: 1536, height: 1024},
    quality: 'best'
  })
};

fetch('https://api.pramaan.dev/v1/capabilities/image.expand', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.pramaan.dev/v1/capabilities/image.expand"

payload = {
    "mode": "canvas",
    "image": { "url": "https://example.com/scene.png" },
    "canvas": {
        "width": 1536,
        "height": 1024
    },
    "quality": "best"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

{
  "job_id": "<string>",
  "status": "running",
  "held_micro": 123
}

{
  "error": {
    "code": "addendum_required",
    "message": "<string>",
    "next": "<string>",
    "request_id": "<string>",
    "retryable": true,
    "effect": "none",
    "slot": "<string>",
    "required_micro": 123,
    "reason": "balance",
    "plan": "<string>",
    "needs": [
      {
        "kind": "approval",
        "detail": "<string>",
        "step": "<string>"
      }
    ]
  }
}