curl --request POST \
  --url https://api.pramaan.dev/v1/capabilities/vector.vectors.query \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ref": "ref_01ARZ3NDEKTSV4RRFFQ69G5FAV",
  "vector": [
    0.1,
    0.2,
    0.3
  ],
  "limit": 5
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ref: 'ref_01ARZ3NDEKTSV4RRFFQ69G5FAV', vector: [0.1, 0.2, 0.3], limit: 5})
};

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

import requests

url = "https://api.pramaan.dev/v1/capabilities/vector.vectors.query"

payload = {
    "ref": "ref_01ARZ3NDEKTSV4RRFFQ69G5FAV",
    "vector": [0.1, 0.2, 0.3],
    "limit": 5
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "matches": [
    {
      "id": "<string>",
      "score": 123,
      "values": [
        123
      ],
      "metadata": {}
    }
  ]
}

{
  "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>"
      }
    ]
  }
}