curl --request POST \
  --url https://api.primeintellect.ai/api/v1/images/build \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "image_name": "<string>",
  "image_tag": "<string>",
  "sourceImage": "<string>",
  "dockerfile_path": "Dockerfile",
  "platform": "linux/amd64",
  "teamId": "<string>",
  "visibility": "INHERIT",
  "ownerScope": "platform"
}
'

import requests

url = "https://api.primeintellect.ai/api/v1/images/build"

payload = {
    "image_name": "<string>",
    "image_tag": "<string>",
    "sourceImage": "<string>",
    "dockerfile_path": "Dockerfile",
    "platform": "linux/amd64",
    "teamId": "<string>",
    "visibility": "INHERIT",
    "ownerScope": "platform"
}
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({
    image_name: '<string>',
    image_tag: '<string>',
    sourceImage: '<string>',
    dockerfile_path: 'Dockerfile',
    platform: 'linux/amd64',
    teamId: '<string>',
    visibility: 'INHERIT',
    ownerScope: 'platform'
  })
};

fetch('https://api.primeintellect.ai/api/v1/images/build', 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.primeintellect.ai/api/v1/images/build",
  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([
    'image_name' => '<string>',
    'image_tag' => '<string>',
    'sourceImage' => '<string>',
    'dockerfile_path' => 'Dockerfile',
    'platform' => 'linux/amd64',
    'teamId' => '<string>',
    'visibility' => 'INHERIT',
    'ownerScope' => 'platform'
  ]),
  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.primeintellect.ai/api/v1/images/build"

	payload := strings.NewReader("{\n  \"image_name\": \"<string>\",\n  \"image_tag\": \"<string>\",\n  \"sourceImage\": \"<string>\",\n  \"dockerfile_path\": \"Dockerfile\",\n  \"platform\": \"linux/amd64\",\n  \"teamId\": \"<string>\",\n  \"visibility\": \"INHERIT\",\n  \"ownerScope\": \"platform\"\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.primeintellect.ai/api/v1/images/build")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image_name\": \"<string>\",\n  \"image_tag\": \"<string>\",\n  \"sourceImage\": \"<string>\",\n  \"dockerfile_path\": \"Dockerfile\",\n  \"platform\": \"linux/amd64\",\n  \"teamId\": \"<string>\",\n  \"visibility\": \"INHERIT\",\n  \"ownerScope\": \"platform\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.primeintellect.ai/api/v1/images/build")

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  \"image_name\": \"<string>\",\n  \"image_tag\": \"<string>\",\n  \"sourceImage\": \"<string>\",\n  \"dockerfile_path\": \"Dockerfile\",\n  \"platform\": \"linux/amd64\",\n  \"teamId\": \"<string>\",\n  \"visibility\": \"INHERIT\",\n  \"ownerScope\": \"platform\"\n}"

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

{
  "build_id": "<string>",
  "fullImagePath": "<string>",
  "buildIds": [
    "<string>"
  ],
  "upload_url": "<string>",
  "expires_in": 123,
  "visibility": "PRIVATE"
}

{
  "errors": [
    {
      "param": "<string>",
      "details": "<string>"
    }
  ]
}