curl --request PUT \
  --url https://api.galileo.ai/v2/integrations/azure \
  --header 'Content-Type: application/json' \
  --header 'Splunk-AO-API-Key: <api-key>' \
  --data '
{
  "token": "my_secret_api_token",
  "endpoint": "https://example-proxy.rungalileo.io",
  "proxy": true,
  "available_deployments": [
    {
      "model": "gpt-4o-mini",
      "id": "id1"
    },
    {
      "model": "gpt-5",
      "id": "id2"
    }
  ]
}
'

import requests

url = "https://api.galileo.ai/v2/integrations/azure"

payload = {
    "token": "my_secret_api_token",
    "endpoint": "https://example-proxy.rungalileo.io",
    "proxy": True,
    "available_deployments": [
        {
            "model": "gpt-4o-mini",
            "id": "id1"
        },
        {
            "model": "gpt-5",
            "id": "id2"
        }
    ]
}
headers = {
    "Splunk-AO-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {'Splunk-AO-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    token: 'my_secret_api_token',
    endpoint: 'https://example-proxy.rungalileo.io',
    proxy: true,
    available_deployments: [{model: 'gpt-4o-mini', id: 'id1'}, {model: 'gpt-5', id: 'id2'}]
  })
};

fetch('https://api.galileo.ai/v2/integrations/azure', 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.galileo.ai/v2/integrations/azure",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'token' => 'my_secret_api_token',
    'endpoint' => 'https://example-proxy.rungalileo.io',
    'proxy' => true,
    'available_deployments' => [
        [
                'model' => 'gpt-4o-mini',
                'id' => 'id1'
        ],
        [
                'model' => 'gpt-5',
                'id' => 'id2'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Splunk-AO-API-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 := "https://api.galileo.ai/v2/integrations/azure"

	payload := strings.NewReader("{\n  \"token\": \"my_secret_api_token\",\n  \"endpoint\": \"https://example-proxy.rungalileo.io\",\n  \"proxy\": true,\n  \"available_deployments\": [\n    {\n      \"model\": \"gpt-4o-mini\",\n      \"id\": \"id1\"\n    },\n    {\n      \"model\": \"gpt-5\",\n      \"id\": \"id2\"\n    }\n  ]\n}")

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

	req.Header.Add("Splunk-AO-API-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.put("https://api.galileo.ai/v2/integrations/azure")
  .header("Splunk-AO-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"token\": \"my_secret_api_token\",\n  \"endpoint\": \"https://example-proxy.rungalileo.io\",\n  \"proxy\": true,\n  \"available_deployments\": [\n    {\n      \"model\": \"gpt-4o-mini\",\n      \"id\": \"id1\"\n    },\n    {\n      \"model\": \"gpt-5\",\n      \"id\": \"id2\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galileo.ai/v2/integrations/azure")

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

request = Net::HTTP::Put.new(url)
request["Splunk-AO-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"token\": \"my_secret_api_token\",\n  \"endpoint\": \"https://example-proxy.rungalileo.io\",\n  \"proxy\": true,\n  \"available_deployments\": [\n    {\n      \"model\": \"gpt-4o-mini\",\n      \"id\": \"id1\"\n    },\n    {\n      \"model\": \"gpt-5\",\n      \"id\": \"id2\"\n    }\n  ]\n}"

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

{
  "id": "<string>",
  "name": "<string>",
  "provider": "anthropic",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "created_by": "<string>",
  "permissions": [],
  "is_selected": false,
  "is_disabled": false
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}