Batch Associate Datasets With Model

curl --request POST \
  --url https://api.cuadra.ai/v1/models/{model_id}/datasets/batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "datasets": [
    {
      "datasetId": "<string>",
      "usageType": "rag",
      "datasetSnapshotId": "550e8400-e29b-41d4-a716-446655440003",
      "priority": 0
    }
  ]
}
'

import requests

url = "https://api.cuadra.ai/v1/models/{model_id}/datasets/batch"

payload = { "datasets": [
        {
            "datasetId": "<string>",
            "usageType": "rag",
            "datasetSnapshotId": "550e8400-e29b-41d4-a716-446655440003",
            "priority": 0
        }
    ] }
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({
    datasets: [
      {
        datasetId: '<string>',
        usageType: 'rag',
        datasetSnapshotId: '550e8400-e29b-41d4-a716-446655440003',
        priority: 0
      }
    ]
  })
};

fetch('https://api.cuadra.ai/v1/models/{model_id}/datasets/batch', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.cuadra.ai/v1/models/{model_id}/datasets/batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'datasets' => [
        [
                'datasetId' => '<string>',
                'usageType' => 'rag',
                'datasetSnapshotId' => '550e8400-e29b-41d4-a716-446655440003',
                'priority' => 0
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.cuadra.ai/v1/models/{model_id}/datasets/batch"

	payload := strings.NewReader("{\n  \"datasets\": [\n    {\n      \"datasetId\": \"<string>\",\n      \"usageType\": \"rag\",\n      \"datasetSnapshotId\": \"550e8400-e29b-41d4-a716-446655440003\",\n      \"priority\": 0\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.cuadra.ai/v1/models/{model_id}/datasets/batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"datasets\": [\n    {\n      \"datasetId\": \"<string>\",\n      \"usageType\": \"rag\",\n      \"datasetSnapshotId\": \"550e8400-e29b-41d4-a716-446655440003\",\n      \"priority\": 0\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cuadra.ai/v1/models/{model_id}/datasets/batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"datasets\": [\n    {\n      \"datasetId\": \"<string>\",\n      \"usageType\": \"rag\",\n      \"datasetSnapshotId\": \"550e8400-e29b-41d4-a716-446655440003\",\n      \"priority\": 0\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "created": [
    {
      "createdAt": "2025-10-18T06:33:19Z",
      "datasetId": "550e8400-e29b-41d4-a716-446655440001",
      "modelId": "550e8400-e29b-41d4-a716-446655440000",
      "priority": 0,
      "updatedAt": "2025-10-18T06:33:19Z",
      "usageType": "rag"
    }
  ],
  "skipped": []
}

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