curl --request PATCH \
  --url https://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "contact_fields": [
    {
      "field_id": "base_email",
      "memorize": true,
      "extract_entities": true,
      "detect_patterns": true,
      "fuzzy_matching": true,
      "include_in_context": true
    }
  ]
}
'

import requests

url = "https://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk"

payload = { "contact_fields": [
        {
            "field_id": "base_email",
            "memorize": True,
            "extract_entities": True,
            "detect_patterns": True,
            "fuzzy_matching": True,
            "include_in_context": True
        }
    ] }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    contact_fields: [
      {
        field_id: 'base_email',
        memorize: true,
        extract_entities: true,
        detect_patterns: true,
        fuzzy_matching: true,
        include_in_context: true
      }
    ]
  })
};

fetch('https://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk', 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://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'contact_fields' => [
        [
                'field_id' => 'base_email',
                'memorize' => true,
                'extract_entities' => true,
                'detect_patterns' => true,
                'fuzzy_matching' => true,
                'include_in_context' => true
        ]
    ]
  ]),
  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://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk"

	payload := strings.NewReader("{\n  \"contact_fields\": [\n    {\n      \"field_id\": \"base_email\",\n      \"memorize\": true,\n      \"extract_entities\": true,\n      \"detect_patterns\": true,\n      \"fuzzy_matching\": true,\n      \"include_in_context\": true\n    }\n  ]\n}")

	req, _ := http.NewRequest("PATCH", 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.patch("https://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"contact_fields\": [\n    {\n      \"field_id\": \"base_email\",\n      \"memorize\": true,\n      \"extract_entities\": true,\n      \"detect_patterns\": true,\n      \"fuzzy_matching\": true,\n      \"include_in_context\": true\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{subdomain}.mihu.ai/api/v1/agents/{uuid}/memorize/bulk")

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

request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"contact_fields\": [\n    {\n      \"field_id\": \"base_email\",\n      \"memorize\": true,\n      \"extract_entities\": true,\n      \"detect_patterns\": true,\n      \"fuzzy_matching\": true,\n      \"include_in_context\": true\n    }\n  ]\n}"

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