curl --request POST \
  --url https://api.galtea.ai/tests/generate-config \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "specificationIds": [
    "spec_123",
    "spec_456"
  ],
  "automaticCreation": false,
  "maxTestCases": 30,
  "groundTruthUri": "<string>",
  "dataCatalogUri": "<string>",
  "languageCode": "es-ES"
}
'

import requests

url = "https://api.galtea.ai/tests/generate-config"

payload = {
    "specificationIds": ["spec_123", "spec_456"],
    "automaticCreation": False,
    "maxTestCases": 30,
    "groundTruthUri": "<string>",
    "dataCatalogUri": "<string>",
    "languageCode": "es-ES"
}
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({
    specificationIds: ['spec_123', 'spec_456'],
    automaticCreation: false,
    maxTestCases: 30,
    groundTruthUri: '<string>',
    dataCatalogUri: '<string>',
    languageCode: 'es-ES'
  })
};

fetch('https://api.galtea.ai/tests/generate-config', 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.galtea.ai/tests/generate-config",
  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([
    'specificationIds' => [
        'spec_123',
        'spec_456'
    ],
    'automaticCreation' => false,
    'maxTestCases' => 30,
    'groundTruthUri' => '<string>',
    'dataCatalogUri' => '<string>',
    'languageCode' => 'es-ES'
  ]),
  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.galtea.ai/tests/generate-config"

	payload := strings.NewReader("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxTestCases\": 30,\n  \"groundTruthUri\": \"<string>\",\n  \"dataCatalogUri\": \"<string>\",\n  \"languageCode\": \"es-ES\"\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.galtea.ai/tests/generate-config")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxTestCases\": 30,\n  \"groundTruthUri\": \"<string>\",\n  \"dataCatalogUri\": \"<string>\",\n  \"languageCode\": \"es-ES\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/tests/generate-config")

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  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxTestCases\": 30,\n  \"groundTruthUri\": \"<string>\",\n  \"dataCatalogUri\": \"<string>\",\n  \"languageCode\": \"es-ES\"\n}"

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

{
  "config": [
    {
      "name": "Scenarios for polite refusals",
      "type": "SCENARIOS",
      "specificationId": "spec_123",
      "productId": "prod_123",
      "maxTestCases": 30,
      "variants": [
        "custom"
      ],
      "customVariantDescription": "<string>",
      "strategies": [
        "written"
      ],
      "languageCode": "es-ES"
    }
  ],
  "tests": [
    {
      "id": "test_123",
      "productId": "prod_123",
      "userId": "user_123",
      "name": "Quality Test",
      "type": "QUALITY",
      "models": [
        "gpt-4",
        "claude-3"
      ],
      "groundTruthUri": "https://files.galtea.ai/tests/test_123/ground-truth.csv",
      "uri": "https://files.galtea.ai/tests/test_123/test.csv",
      "error": "<string>",
      "status": "SUCCESS",
      "fewShot": "Example few-shot learning data",
      "languageCode": "es-MX",
      "backgroundNoiseProfile": "street",
      "backgroundNoiseLevel": "medium",
      "variants": [
        "rag",
        "summarization"
      ],
      "customVariantDescription": "Custom variant description",
      "strategies": [
        "original"
      ],
      "customUserPersona": "Business analyst",
      "maxTestCases": 100,
      "sourceTestId": "<string>",
      "dataCatalogUri": "https://files.galtea.ai/tests/test_123/data-catalog.json",
      "metadata": {
        "key": "value"
      },
      "specificationId": "spec_123",
      "isExtendable": true,
      "createdAt": "2023-11-07T05:31:56Z",
      "deletedAt": "2023-11-07T05:31:56Z"
    }
  ]
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}