curl --request PATCH \
  --url https://api.cradl.ai/{basePath}/models/{modelId} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "metadata": {},
  "preprocessConfig": {
    "trimMargins": true,
    "useGhostScript": true,
    "startPage": 123,
    "pages": [
      123
    ],
    "usePoppler": true,
    "padToFit": true,
    "useTextDetection": true,
    "maxPages": 50,
    "deskewImage": true,
    "autoRotate": true
  },
  "trainingId": "<string>",
  "postprocessConfig": {
    "strategy": "BEST_FIRST"
  },
  "name": "<string>",
  "description": "<string>",
  "fieldConfig": {}
}
'

import requests

url = "https://api.cradl.ai/{basePath}/models/{modelId}"

payload = {
    "metadata": {},
    "preprocessConfig": {
        "trimMargins": True,
        "useGhostScript": True,
        "startPage": 123,
        "pages": [123],
        "usePoppler": True,
        "padToFit": True,
        "useTextDetection": True,
        "maxPages": 50,
        "deskewImage": True,
        "autoRotate": True
    },
    "trainingId": "<string>",
    "postprocessConfig": { "strategy": "BEST_FIRST" },
    "name": "<string>",
    "description": "<string>",
    "fieldConfig": {}
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "Bearer <token>"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'Content-Type': '<content-type>', Authorization: 'Bearer <token>'},
  body: JSON.stringify({
    metadata: {},
    preprocessConfig: {
      trimMargins: true,
      useGhostScript: true,
      startPage: 123,
      pages: [123],
      usePoppler: true,
      padToFit: true,
      useTextDetection: true,
      maxPages: 50,
      deskewImage: true,
      autoRotate: true
    },
    trainingId: '<string>',
    postprocessConfig: {strategy: 'BEST_FIRST'},
    name: '<string>',
    description: '<string>',
    fieldConfig: {}
  })
};

fetch('https://api.cradl.ai/{basePath}/models/{modelId}', 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.cradl.ai/{basePath}/models/{modelId}",
  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([
    'metadata' => [
        
    ],
    'preprocessConfig' => [
        'trimMargins' => true,
        'useGhostScript' => true,
        'startPage' => 123,
        'pages' => [
                123
        ],
        'usePoppler' => true,
        'padToFit' => true,
        'useTextDetection' => true,
        'maxPages' => 50,
        'deskewImage' => true,
        'autoRotate' => true
    ],
    'trainingId' => '<string>',
    'postprocessConfig' => [
        'strategy' => 'BEST_FIRST'
    ],
    'name' => '<string>',
    'description' => '<string>',
    'fieldConfig' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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.cradl.ai/{basePath}/models/{modelId}"

	payload := strings.NewReader("{\n  \"metadata\": {},\n  \"preprocessConfig\": {\n    \"trimMargins\": true,\n    \"useGhostScript\": true,\n    \"startPage\": 123,\n    \"pages\": [\n      123\n    ],\n    \"usePoppler\": true,\n    \"padToFit\": true,\n    \"useTextDetection\": true,\n    \"maxPages\": 50,\n    \"deskewImage\": true,\n    \"autoRotate\": true\n  },\n  \"trainingId\": \"<string>\",\n  \"postprocessConfig\": {\n    \"strategy\": \"BEST_FIRST\"\n  },\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"fieldConfig\": {}\n}")

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

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.patch("https://api.cradl.ai/{basePath}/models/{modelId}")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "Bearer <token>")
  .body("{\n  \"metadata\": {},\n  \"preprocessConfig\": {\n    \"trimMargins\": true,\n    \"useGhostScript\": true,\n    \"startPage\": 123,\n    \"pages\": [\n      123\n    ],\n    \"usePoppler\": true,\n    \"padToFit\": true,\n    \"useTextDetection\": true,\n    \"maxPages\": 50,\n    \"deskewImage\": true,\n    \"autoRotate\": true\n  },\n  \"trainingId\": \"<string>\",\n  \"postprocessConfig\": {\n    \"strategy\": \"BEST_FIRST\"\n  },\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"fieldConfig\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cradl.ai/{basePath}/models/{modelId}")

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

request = Net::HTTP::Patch.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = 'Bearer <token>'
request.body = "{\n  \"metadata\": {},\n  \"preprocessConfig\": {\n    \"trimMargins\": true,\n    \"useGhostScript\": true,\n    \"startPage\": 123,\n    \"pages\": [\n      123\n    ],\n    \"usePoppler\": true,\n    \"padToFit\": true,\n    \"useTextDetection\": true,\n    \"maxPages\": 50,\n    \"deskewImage\": true,\n    \"autoRotate\": true\n  },\n  \"trainingId\": \"<string>\",\n  \"postprocessConfig\": {\n    \"strategy\": \"BEST_FIRST\"\n  },\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"fieldConfig\": {}\n}"

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

{
  "updatedTime": "<string>",
  "metadata": {},
  "updatedBy": "<string>",
  "trainingId": "<string>",
  "modelId": "<string>",
  "description": "<string>",
  "fieldConfig": {},
  "organizationId": "<string>",
  "preprocessConfig": {
    "trimMargins": true,
    "useGhostScript": true,
    "startPage": 123,
    "pages": [
      123
    ],
    "usePoppler": true,
    "padToFit": true,
    "useTextDetection": true,
    "maxPages": 50,
    "deskewImage": true,
    "autoRotate": true
  },
  "createdBy": "<string>",
  "numberOfRunningTrainings": 1,
  "name": "<string>",
  "numberOfDataBundles": 1,
  "createdTime": "<string>",
  "postprocessConfig": {
    "strategy": "BEST_FIRST"
  },
  "version": 1,
  "updatedFieldConfigTime": "<string>",
  "statistics": {}
}

{
  "message": "<string>"
}

{
  "message": "<string>"
}

{
  "message": "<string>"
}

{
  "message": "<string>"
}

{
  "message": "<string>"
}