curl --request POST \
  --url https://api.threetone.in/v1/convai/llm-usage/calculate \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt_length": 123,
  "number_of_pages": 123,
  "rag_enabled": true
}
'

import requests

url = "https://api.threetone.in/v1/convai/llm-usage/calculate"

payload = {
    "prompt_length": 123,
    "number_of_pages": 123,
    "rag_enabled": True
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({prompt_length: 123, number_of_pages: 123, rag_enabled: true})
};

fetch('https://api.threetone.in/v1/convai/llm-usage/calculate', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "llm_prices": [
    {
      "llm": "gpt-4o-mini",
      "price_per_minute": 123
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}