curl --request POST \
  --url https://api.pramaan.dev/v1/capabilities/text.embed \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": [
    "Pramaan routes one capability call to a serving provider.",
    "Vectors turn text into points that search can compare."
  ],
  "model": "fast"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    input: [
      'Pramaan routes one capability call to a serving provider.',
      'Vectors turn text into points that search can compare.'
    ],
    model: 'fast'
  })
};

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

import requests

url = "https://api.pramaan.dev/v1/capabilities/text.embed"

payload = {
    "input": ["Pramaan routes one capability call to a serving provider.", "Vectors turn text into points that search can compare."],
    "model": "fast"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "model": "<string>",
  "space": "<string>",
  "dimensions": 123,
  "embeddings": [
    [
      123
    ]
  ],
  "usage": {
    "inputTokens": 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>"
      }
    ]
  }
}