curl --request POST \
  --url https://platform.perso.ai/api/console/b2c/contexts/ \
  --header 'Content-Type: application/json' \
  --header 'PersoPlatform-APIKey: <api-key>' \
  --data '
{
  "name": "<string>",
  "tts_type": "<string>",
  "model_style": "<string>",
  "greeting": "<string>",
  "instructions": "<string>",
  "background_image": "<string>",
  "max_session_sec": 1073741823,
  "is_active": true,
  "embed_config": "<unknown>"
}
'

import requests

url = "https://platform.perso.ai/api/console/b2c/contexts/"

payload = {
    "name": "<string>",
    "tts_type": "<string>",
    "model_style": "<string>",
    "greeting": "<string>",
    "instructions": "<string>",
    "background_image": "<string>",
    "max_session_sec": 1073741823,
    "is_active": True,
    "embed_config": "<unknown>"
}
headers = {
    "PersoPlatform-APIKey": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'PersoPlatform-APIKey': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    tts_type: '<string>',
    model_style: '<string>',
    greeting: '<string>',
    instructions: '<string>',
    background_image: '<string>',
    max_session_sec: 1073741823,
    is_active: true,
    embed_config: '<unknown>'
  })
};

fetch('https://platform.perso.ai/api/console/b2c/contexts/', 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://platform.perso.ai/api/console/b2c/contexts/",
  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([
    'name' => '<string>',
    'tts_type' => '<string>',
    'model_style' => '<string>',
    'greeting' => '<string>',
    'instructions' => '<string>',
    'background_image' => '<string>',
    'max_session_sec' => 1073741823,
    'is_active' => true,
    'embed_config' => '<unknown>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "PersoPlatform-APIKey: <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://platform.perso.ai/api/console/b2c/contexts/"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"tts_type\": \"<string>\",\n  \"model_style\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"background_image\": \"<string>\",\n  \"max_session_sec\": 1073741823,\n  \"is_active\": true,\n  \"embed_config\": \"<unknown>\"\n}")

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

	req.Header.Add("PersoPlatform-APIKey", "<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://platform.perso.ai/api/console/b2c/contexts/")
  .header("PersoPlatform-APIKey", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"tts_type\": \"<string>\",\n  \"model_style\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"background_image\": \"<string>\",\n  \"max_session_sec\": 1073741823,\n  \"is_active\": true,\n  \"embed_config\": \"<unknown>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.perso.ai/api/console/b2c/contexts/")

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

request = Net::HTTP::Post.new(url)
request["PersoPlatform-APIKey"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"tts_type\": \"<string>\",\n  \"model_style\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"background_image\": \"<string>\",\n  \"max_session_sec\": 1073741823,\n  \"is_active\": true,\n  \"embed_config\": \"<unknown>\"\n}"

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "context_id": "<string>",
  "name": "<string>",
  "tts_type": "<string>",
  "model_style": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "greeting": "<string>",
  "instructions": "<string>",
  "background_image": "<string>",
  "max_session_sec": 1073741823,
  "is_active": true,
  "embed_config": "<unknown>"
}