curl --request POST \
  --url http://localhost:6699/api/v1/faces/clusters/samples \
  --header 'Content-Type: application/json' \
  --header 'X-License-Key: <api-key>' \
  --data '
{
  "cache_dir": "<string>",
  "cluster_job_name": "<string>",
  "limit_per_cluster": 12,
  "min_cluster_size": 1,
  "max_cluster_size": 1000000000,
  "max_clusters": 100,
  "include_noise": false
}
'

import requests

url = "http://localhost:6699/api/v1/faces/clusters/samples"

payload = {
    "cache_dir": "<string>",
    "cluster_job_name": "<string>",
    "limit_per_cluster": 12,
    "min_cluster_size": 1,
    "max_cluster_size": 1000000000,
    "max_clusters": 100,
    "include_noise": False
}
headers = {
    "X-License-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-License-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    cache_dir: '<string>',
    cluster_job_name: '<string>',
    limit_per_cluster: 12,
    min_cluster_size: 1,
    max_cluster_size: 1000000000,
    max_clusters: 100,
    include_noise: false
  })
};

fetch('http://localhost:6699/api/v1/faces/clusters/samples', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "6699",
  CURLOPT_URL => "http://localhost:6699/api/v1/faces/clusters/samples",
  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([
    'cache_dir' => '<string>',
    'cluster_job_name' => '<string>',
    'limit_per_cluster' => 12,
    'min_cluster_size' => 1,
    'max_cluster_size' => 1000000000,
    'max_clusters' => 100,
    'include_noise' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-License-Key: <api-key>"
  ],
]);

$response = curl_exec($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 := "http://localhost:6699/api/v1/faces/clusters/samples"

	payload := strings.NewReader("{\n  \"cache_dir\": \"<string>\",\n  \"cluster_job_name\": \"<string>\",\n  \"limit_per_cluster\": 12,\n  \"min_cluster_size\": 1,\n  \"max_cluster_size\": 1000000000,\n  \"max_clusters\": 100,\n  \"include_noise\": false\n}")

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

	req.Header.Add("X-License-Key", "<api-key>")
	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("http://localhost:6699/api/v1/faces/clusters/samples")
  .header("X-License-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"cache_dir\": \"<string>\",\n  \"cluster_job_name\": \"<string>\",\n  \"limit_per_cluster\": 12,\n  \"min_cluster_size\": 1,\n  \"max_cluster_size\": 1000000000,\n  \"max_clusters\": 100,\n  \"include_noise\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://localhost:6699/api/v1/faces/clusters/samples")

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

request = Net::HTTP::Post.new(url)
request["X-License-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"cache_dir\": \"<string>\",\n  \"cluster_job_name\": \"<string>\",\n  \"limit_per_cluster\": 12,\n  \"min_cluster_size\": 1,\n  \"max_cluster_size\": 1000000000,\n  \"max_clusters\": 100,\n  \"include_noise\": false\n}"

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

{
  "cluster_job_name": "<string>",
  "num_clusters": 123,
  "num_clusters_after_filter": 123,
  "total_entries": 123,
  "clusters": [
    {
      "cluster_id": "<string>",
      "name": "<string>",
      "size": 123,
      "sample_faces": [
        "aSDinaTvuI8gbWludGxpZnk="
      ]
    }
  ],
  "noise_size": 123,
  "noise_sample": [
    "aSDinaTvuI8gbWludGxpZnk="
  ]
}