curl --request POST \
  --url https://api.lindo.ai/v1/workspace/website/{website_id}/media/upload/batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "files": [
    {
      "file_base64": "<string>",
      "file_name": "<string>",
      "media_type": "images",
      "content_type": "<string>"
    }
  ]
}
'

import requests

url = "https://api.lindo.ai/v1/workspace/website/{website_id}/media/upload/batch"

payload = { "files": [
        {
            "file_base64": "<string>",
            "file_name": "<string>",
            "media_type": "images",
            "content_type": "<string>"
        }
    ] }
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({
    files: [
      {
        file_base64: '<string>',
        file_name: '<string>',
        media_type: 'images',
        content_type: '<string>'
      }
    ]
  })
};

fetch('https://api.lindo.ai/v1/workspace/website/{website_id}/media/upload/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.lindo.ai/v1/workspace/website/{website_id}/media/upload/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([
    'files' => [
        [
                'file_base64' => '<string>',
                'file_name' => '<string>',
                'media_type' => 'images',
                'content_type' => '<string>'
        ]
    ]
  ]),
  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.lindo.ai/v1/workspace/website/{website_id}/media/upload/batch"

	payload := strings.NewReader("{\n  \"files\": [\n    {\n      \"file_base64\": \"<string>\",\n      \"file_name\": \"<string>\",\n      \"media_type\": \"images\",\n      \"content_type\": \"<string>\"\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.lindo.ai/v1/workspace/website/{website_id}/media/upload/batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"files\": [\n    {\n      \"file_base64\": \"<string>\",\n      \"file_name\": \"<string>\",\n      \"media_type\": \"images\",\n      \"content_type\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.lindo.ai/v1/workspace/website/{website_id}/media/upload/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  \"files\": [\n    {\n      \"file_base64\": \"<string>\",\n      \"file_name\": \"<string>\",\n      \"media_type\": \"images\",\n      \"content_type\": \"<string>\"\n    }\n  ]\n}"

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

{
  "success": true,
  "result": {
    "uploaded": [
      {
        "url": "https://cdn.ln-cdn.com/c/website_abc123/images/hero-image.jpg",
        "file_name": "hero-image.jpg",
        "media_type": "images",
        "success": true,
        "error": "File too large"
      }
    ],
    "total": 5,
    "successful": 5,
    "failed": 0
  }
}

{
  "success": false,
  "errors": [
    "Client already exists"
  ],
  "message": "Validation failed"
}

{
  "success": false,
  "errors": [
    "Client already exists"
  ],
  "message": "Validation failed"
}

{
  "success": false,
  "errors": [
    "Client already exists"
  ],
  "message": "Validation failed"
}

{
  "success": false,
  "errors": [
    "Client already exists"
  ],
  "message": "Validation failed"
}