curl --request POST \
  --url https://api.tensormesh.ai/v1/models/check \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "modelId": "<string>"
}
'

import requests

url = "https://api.tensormesh.ai/v1/models/check"

payload = { "modelId": "<string>" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({modelId: '<string>'})
};

fetch('https://api.tensormesh.ai/v1/models/check', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "requiredGpuMemoryGib": 123,
  "requiredLmCacheMemoryGib": 123
}

{
  "code": 123,
  "message": "<string>",
  "details": [
    {
      "@type": "<string>"
    }
  ]
}