import BrainbaseLabs from 'brainbase-labs';

const client = new BrainbaseLabs({
  apiKey: process.env['BRAINBASE_LABS_API_KEY'], // This is the default and can be omitted
});

const response = await client.workers.deployments.voice.makeBatchCalls('deploymentId', {
  workerId: 'workerId',
  data: [{ foo: 'string' }],
});

console.log(response.message);

import os
from brainbase_labs import BrainbaseLabs

client = BrainbaseLabs(
    api_key=os.environ.get("BRAINBASE_LABS_API_KEY"),  # This is the default and can be omitted
)
response = client.workers.deployments.voice.make_batch_calls(
    deployment_id="deploymentId",
    worker_id="workerId",
    data=[{
        "foo": "string"
    }],
)
print(response.message)

curl --request POST \
  --url https://brainbase-monorepo-api.onrender.com/api/workers/{workerId}/deployments/voice/{deploymentId}/make-batch-calls \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "data": [
    {}
  ],
  "batch_size": 123,
  "batch_interval_minutes": 123,
  "condition": "<string>",
  "extractions": "<string>",
  "wsUrl": "<string>",
  "additional_data": "<string>",
  "country": "<string>"
}
'

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://brainbase-monorepo-api.onrender.com/api/workers/{workerId}/deployments/voice/{deploymentId}/make-batch-calls",
  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([
    'data' => [
        [
                
        ]
    ],
    'batch_size' => 123,
    'batch_interval_minutes' => 123,
    'condition' => '<string>',
    'extractions' => '<string>',
    'wsUrl' => '<string>',
    'additional_data' => '<string>',
    'country' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-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://brainbase-monorepo-api.onrender.com/api/workers/{workerId}/deployments/voice/{deploymentId}/make-batch-calls"

	payload := strings.NewReader("{\n  \"data\": [\n    {}\n  ],\n  \"batch_size\": 123,\n  \"batch_interval_minutes\": 123,\n  \"condition\": \"<string>\",\n  \"extractions\": \"<string>\",\n  \"wsUrl\": \"<string>\",\n  \"additional_data\": \"<string>\",\n  \"country\": \"<string>\"\n}")

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

	req.Header.Add("x-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.post("https://brainbase-monorepo-api.onrender.com/api/workers/{workerId}/deployments/voice/{deploymentId}/make-batch-calls")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"data\": [\n    {}\n  ],\n  \"batch_size\": 123,\n  \"batch_interval_minutes\": 123,\n  \"condition\": \"<string>\",\n  \"extractions\": \"<string>\",\n  \"wsUrl\": \"<string>\",\n  \"additional_data\": \"<string>\",\n  \"country\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://brainbase-monorepo-api.onrender.com/api/workers/{workerId}/deployments/voice/{deploymentId}/make-batch-calls")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"data\": [\n    {}\n  ],\n  \"batch_size\": 123,\n  \"batch_interval_minutes\": 123,\n  \"condition\": \"<string>\",\n  \"extractions\": \"<string>\",\n  \"wsUrl\": \"<string>\",\n  \"additional_data\": \"<string>\",\n  \"country\": \"<string>\"\n}"

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

{
  "message": "<string>",
  "rowsProcessed": 123
}