estimate cost

curl --request POST \
  --url https://eversince.ai/api/v1/estimate-cost \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "operations": [
    {
      "tool": "<string>",
      "model": "<string>",
      "settings": {}
    }
  ]
}
'

import requests

url = "https://eversince.ai/api/v1/estimate-cost"

payload = { "operations": [
        {
            "tool": "<string>",
            "model": "<string>",
            "settings": {}
        }
    ] }
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({operations: [{tool: '<string>', model: '<string>', settings: {}}]})
};

fetch('https://eversince.ai/api/v1/estimate-cost', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "ok": true,
  "data": {
    "total": {
      "credits": 123,
      "cloud_minutes": 123,
      "estimated": true
    },
    "per_op": [
      {}
    ]
  },
  "meta": {
    "request_id": "<string>"
  }
}

{
  "ok": false,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "suggested_action": "<string>",
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}