curl --request POST \
  --url https://serverless.tensormesh.ai/tokenize \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "openai/gpt-oss-20b",
  "prompt": "Hello!"
}
'

import requests

url = "https://serverless.tensormesh.ai/tokenize"

payload = {
    "model": "openai/gpt-oss-20b",
    "prompt": "Hello!"
}
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({model: 'openai/gpt-oss-20b', prompt: 'Hello!'})
};

fetch('https://serverless.tensormesh.ai/tokenize', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "count": 123,
  "max_model_len": 123,
  "tokens": [
    123
  ],
  "token_strs": [
    "<string>"
  ]
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": "<string>",
    "code": "<string>"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": "<string>",
    "code": "<string>"
  }
}