curl --request POST \
  --url https://api.ppio.com/gpus/v2/templates \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "name": "pytorch-2.3-cuda12",
  "type": "instance",
  "image": "registry.example.com/ml/pytorch:2.3-cuda12",
  "registry_auth_id": "auth-001",
  "command": "",
  "entrypoint": "/bin/bash",
  "rootfs_size_gb": 50,
  "ports": [
    {
      "protocol": "http",
      "port": 8888
    }
  ],
  "envs": [
    {
      "key": "ENV",
      "value": "prod"
    }
  ],
  "metadata": {
    "readme": "PyTorch 2.3 with CUDA 12",
    "logo": "https://example.com/logo.png",
    "description": "PyTorch development template",
    "author": "PAI",
    "tags": [
      "pytorch",
      "cuda"
    ]
  },
  "min_cuda_version": "12.2"
}
'

import requests

url = "https://api.ppio.com/gpus/v2/templates"

payload = {
    "name": "pytorch-2.3-cuda12",
    "type": "instance",
    "image": "registry.example.com/ml/pytorch:2.3-cuda12",
    "registry_auth_id": "auth-001",
    "command": "",
    "entrypoint": "/bin/bash",
    "rootfs_size_gb": 50,
    "ports": [
        {
            "protocol": "http",
            "port": 8888
        }
    ],
    "envs": [
        {
            "key": "ENV",
            "value": "prod"
        }
    ],
    "metadata": {
        "readme": "PyTorch 2.3 with CUDA 12",
        "logo": "https://example.com/logo.png",
        "description": "PyTorch development template",
        "author": "PAI",
        "tags": ["pytorch", "cuda"]
    },
    "min_cuda_version": "12.2"
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "<authorization>"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
  body: JSON.stringify({
    name: 'pytorch-2.3-cuda12',
    type: 'instance',
    image: 'registry.example.com/ml/pytorch:2.3-cuda12',
    registry_auth_id: 'auth-001',
    command: '',
    entrypoint: '/bin/bash',
    rootfs_size_gb: 50,
    ports: [{protocol: 'http', port: 8888}],
    envs: [{key: 'ENV', value: 'prod'}],
    metadata: {
      readme: 'PyTorch 2.3 with CUDA 12',
      logo: 'https://example.com/logo.png',
      description: 'PyTorch development template',
      author: 'PAI',
      tags: ['pytorch', 'cuda']
    },
    min_cuda_version: '12.2'
  })
};

fetch('https://api.ppio.com/gpus/v2/templates', 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.ppio.com/gpus/v2/templates",
  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([
    'name' => 'pytorch-2.3-cuda12',
    'type' => 'instance',
    'image' => 'registry.example.com/ml/pytorch:2.3-cuda12',
    'registry_auth_id' => 'auth-001',
    'command' => '',
    'entrypoint' => '/bin/bash',
    'rootfs_size_gb' => 50,
    'ports' => [
        [
                'protocol' => 'http',
                'port' => 8888
        ]
    ],
    'envs' => [
        [
                'key' => 'ENV',
                'value' => 'prod'
        ]
    ],
    'metadata' => [
        'readme' => 'PyTorch 2.3 with CUDA 12',
        'logo' => 'https://example.com/logo.png',
        'description' => 'PyTorch development template',
        'author' => 'PAI',
        'tags' => [
                'pytorch',
                'cuda'
        ]
    ],
    'min_cuda_version' => '12.2'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "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.ppio.com/gpus/v2/templates"

	payload := strings.NewReader("{\n  \"name\": \"pytorch-2.3-cuda12\",\n  \"type\": \"instance\",\n  \"image\": \"registry.example.com/ml/pytorch:2.3-cuda12\",\n  \"registry_auth_id\": \"auth-001\",\n  \"command\": \"\",\n  \"entrypoint\": \"/bin/bash\",\n  \"rootfs_size_gb\": 50,\n  \"ports\": [\n    {\n      \"protocol\": \"http\",\n      \"port\": 8888\n    }\n  ],\n  \"envs\": [\n    {\n      \"key\": \"ENV\",\n      \"value\": \"prod\"\n    }\n  ],\n  \"metadata\": {\n    \"readme\": \"PyTorch 2.3 with CUDA 12\",\n    \"logo\": \"https://example.com/logo.png\",\n    \"description\": \"PyTorch development template\",\n    \"author\": \"PAI\",\n    \"tags\": [\n      \"pytorch\",\n      \"cuda\"\n    ]\n  },\n  \"min_cuda_version\": \"12.2\"\n}")

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

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

	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.ppio.com/gpus/v2/templates")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "<authorization>")
  .body("{\n  \"name\": \"pytorch-2.3-cuda12\",\n  \"type\": \"instance\",\n  \"image\": \"registry.example.com/ml/pytorch:2.3-cuda12\",\n  \"registry_auth_id\": \"auth-001\",\n  \"command\": \"\",\n  \"entrypoint\": \"/bin/bash\",\n  \"rootfs_size_gb\": 50,\n  \"ports\": [\n    {\n      \"protocol\": \"http\",\n      \"port\": 8888\n    }\n  ],\n  \"envs\": [\n    {\n      \"key\": \"ENV\",\n      \"value\": \"prod\"\n    }\n  ],\n  \"metadata\": {\n    \"readme\": \"PyTorch 2.3 with CUDA 12\",\n    \"logo\": \"https://example.com/logo.png\",\n    \"description\": \"PyTorch development template\",\n    \"author\": \"PAI\",\n    \"tags\": [\n      \"pytorch\",\n      \"cuda\"\n    ]\n  },\n  \"min_cuda_version\": \"12.2\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ppio.com/gpus/v2/templates")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n  \"name\": \"pytorch-2.3-cuda12\",\n  \"type\": \"instance\",\n  \"image\": \"registry.example.com/ml/pytorch:2.3-cuda12\",\n  \"registry_auth_id\": \"auth-001\",\n  \"command\": \"\",\n  \"entrypoint\": \"/bin/bash\",\n  \"rootfs_size_gb\": 50,\n  \"ports\": [\n    {\n      \"protocol\": \"http\",\n      \"port\": 8888\n    }\n  ],\n  \"envs\": [\n    {\n      \"key\": \"ENV\",\n      \"value\": \"prod\"\n    }\n  ],\n  \"metadata\": {\n    \"readme\": \"PyTorch 2.3 with CUDA 12\",\n    \"logo\": \"https://example.com/logo.png\",\n    \"description\": \"PyTorch development template\",\n    \"author\": \"PAI\",\n    \"tags\": [\n      \"pytorch\",\n      \"cuda\"\n    ]\n  },\n  \"min_cuda_version\": \"12.2\"\n}"

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

{
  "template_id": "tpl-001"
}