curl --request POST \
  --url https://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "url": "<string>",
  "text": "<string>",
  "voice": "<string>",
  "mood": "<string>",
  "duration": 123,
  "volume": 123,
  "muted": true,
  "ducking": true
}
'

import requests

url = "https://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks"

payload = {
    "url": "<string>",
    "text": "<string>",
    "voice": "<string>",
    "mood": "<string>",
    "duration": 123,
    "volume": 123,
    "muted": True,
    "ducking": True
}
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({
    url: '<string>',
    text: '<string>',
    voice: '<string>',
    mood: '<string>',
    duration: 123,
    volume: 123,
    muted: true,
    ducking: true
  })
};

fetch('https://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks', 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://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks",
  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([
    'url' => '<string>',
    'text' => '<string>',
    'voice' => '<string>',
    'mood' => '<string>',
    'duration' => 123,
    'volume' => 123,
    'muted' => true,
    'ducking' => true
  ]),
  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://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks"

	payload := strings.NewReader("{\n  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"voice\": \"<string>\",\n  \"mood\": \"<string>\",\n  \"duration\": 123,\n  \"volume\": 123,\n  \"muted\": true,\n  \"ducking\": true\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://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"voice\": \"<string>\",\n  \"mood\": \"<string>\",\n  \"duration\": 123,\n  \"volume\": 123,\n  \"muted\": true,\n  \"ducking\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://lavendly.ai/api/v1/workflows/{id}/clips/{clip_id}/tracks")

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  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"voice\": \"<string>\",\n  \"mood\": \"<string>\",\n  \"duration\": 123,\n  \"volume\": 123,\n  \"muted\": true,\n  \"ducking\": true\n}"

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

{
  "track_id": "<string>",
  "source_node_id": "<string>",
  "target_clip_id": "<string>",
  "kind": "<string>",
  "url": "<string>",
  "synthesized": true
}

{
  "error": {
    "code": "invalid_args",
    "message": "..."
  }
}

{
  "error": {
    "code": "unauthenticated",
    "message": "..."
  }
}

{
  "error": {
    "code": "insufficient_credits",
    "message": "..."
  }
}

{
  "error": {
    "code": "workflow_not_found",
    "message": "..."
  }
}