curl --request POST \
  --url https://api.nineninesix.ai/tts/sse \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model_id": "gepard-1.0",
  "transcript": "Streaming speech, chunk by chunk.",
  "voice": {
    "mode": "id",
    "id": "a0e99841-438c-4a64-b679-ae501e7d6091"
  },
  "output_format": {
    "container": "raw",
    "encoding": "pcm_s16le",
    "sample_rate": 22050
  }
}
'

import requests

url = "https://api.nineninesix.ai/tts/sse"

payload = {
    "model_id": "gepard-1.0",
    "transcript": "Streaming speech, chunk by chunk.",
    "voice": {
        "mode": "id",
        "id": "a0e99841-438c-4a64-b679-ae501e7d6091"
    },
    "output_format": {
        "container": "raw",
        "encoding": "pcm_s16le",
        "sample_rate": 22050
    }
}
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({
    model_id: 'gepard-1.0',
    transcript: 'Streaming speech, chunk by chunk.',
    voice: {mode: 'id', id: 'a0e99841-438c-4a64-b679-ae501e7d6091'},
    output_format: {container: 'raw', encoding: 'pcm_s16le', sample_rate: 22050}
  })
};

fetch('https://api.nineninesix.ai/tts/sse', 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.nineninesix.ai/tts/sse",
  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([
    'model_id' => 'gepard-1.0',
    'transcript' => 'Streaming speech, chunk by chunk.',
    'voice' => [
        'mode' => 'id',
        'id' => 'a0e99841-438c-4a64-b679-ae501e7d6091'
    ],
    'output_format' => [
        'container' => 'raw',
        'encoding' => 'pcm_s16le',
        'sample_rate' => 22050
    ]
  ]),
  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.nineninesix.ai/tts/sse"

	payload := strings.NewReader("{\n  \"model_id\": \"gepard-1.0\",\n  \"transcript\": \"Streaming speech, chunk by chunk.\",\n  \"voice\": {\n    \"mode\": \"id\",\n    \"id\": \"a0e99841-438c-4a64-b679-ae501e7d6091\"\n  },\n  \"output_format\": {\n    \"container\": \"raw\",\n    \"encoding\": \"pcm_s16le\",\n    \"sample_rate\": 22050\n  }\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.nineninesix.ai/tts/sse")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model_id\": \"gepard-1.0\",\n  \"transcript\": \"Streaming speech, chunk by chunk.\",\n  \"voice\": {\n    \"mode\": \"id\",\n    \"id\": \"a0e99841-438c-4a64-b679-ae501e7d6091\"\n  },\n  \"output_format\": {\n    \"container\": \"raw\",\n    \"encoding\": \"pcm_s16le\",\n    \"sample_rate\": 22050\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.nineninesix.ai/tts/sse")

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  \"model_id\": \"gepard-1.0\",\n  \"transcript\": \"Streaming speech, chunk by chunk.\",\n  \"voice\": {\n    \"mode\": \"id\",\n    \"id\": \"a0e99841-438c-4a64-b679-ae501e7d6091\"\n  },\n  \"output_format\": {\n    \"container\": \"raw\",\n    \"encoding\": \"pcm_s16le\",\n    \"sample_rate\": 22050\n  }\n}"

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

"data: {\"type\":\"chunk\",\"data\":\"<base64 pcm>\",\"context_id\":\"...\"}\n\ndata: {\"type\":\"done\",\"context_id\":\"...\"}\n"

{
  "error": "invalid_output_format",
  "message": "unsupported sample_rate"
}

{
  "error": "unauthorized",
  "message": "invalid API key"
}

{
  "error": "payment_required",
  "message": "insufficient credits"
}

{
  "error": "rate_limited",
  "message": "requests/min limit exceeded for your tier"
}

{
  "error": "upstream_unavailable",
  "message": "synthesis backend error"
}