Create a test agent

curl --request POST \
  --url https://api.telnyx.com/v2/ai/tests/test_framework/v1/aiagents \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_name": "Support Bot Under Test",
  "assistant_id": "e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6",
  "description": "Evaluates the support assistant against generated callers.",
  "language": "en",
  "llm_model": "openai/gpt-oss-120b",
  "llm_temperature": 0.7,
  "llm_max_tokens": 512,
  "inbound": false,
  "sip_endpoint": "",
  "outbound_auto_call": false,
  "auto_update_dropoff_nodes": false,
  "auto_update_topic_nodes": false
}
'

import requests

url = "https://api.telnyx.com/v2/ai/tests/test_framework/v1/aiagents"

payload = {
    "agent_name": "Support Bot Under Test",
    "assistant_id": "e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6",
    "description": "Evaluates the support assistant against generated callers.",
    "language": "en",
    "llm_model": "openai/gpt-oss-120b",
    "llm_temperature": 0.7,
    "llm_max_tokens": 512,
    "inbound": False,
    "sip_endpoint": "",
    "outbound_auto_call": False,
    "auto_update_dropoff_nodes": False,
    "auto_update_topic_nodes": False
}
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({
    agent_name: 'Support Bot Under Test',
    assistant_id: 'e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6',
    description: 'Evaluates the support assistant against generated callers.',
    language: 'en',
    llm_model: 'openai/gpt-oss-120b',
    llm_temperature: 0.7,
    llm_max_tokens: 512,
    inbound: false,
    sip_endpoint: '',
    outbound_auto_call: false,
    auto_update_dropoff_nodes: false,
    auto_update_topic_nodes: false
  })
};

fetch('https://api.telnyx.com/v2/ai/tests/test_framework/v1/aiagents', 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.telnyx.com/v2/ai/tests/test_framework/v1/aiagents",
  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([
    'agent_name' => 'Support Bot Under Test',
    'assistant_id' => 'e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6',
    'description' => 'Evaluates the support assistant against generated callers.',
    'language' => 'en',
    'llm_model' => 'openai/gpt-oss-120b',
    'llm_temperature' => 0.7,
    'llm_max_tokens' => 512,
    'inbound' => false,
    'sip_endpoint' => '',
    'outbound_auto_call' => false,
    'auto_update_dropoff_nodes' => false,
    'auto_update_topic_nodes' => false
  ]),
  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.telnyx.com/v2/ai/tests/test_framework/v1/aiagents"

	payload := strings.NewReader("{\n  \"agent_name\": \"Support Bot Under Test\",\n  \"assistant_id\": \"e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6\",\n  \"description\": \"Evaluates the support assistant against generated callers.\",\n  \"language\": \"en\",\n  \"llm_model\": \"openai/gpt-oss-120b\",\n  \"llm_temperature\": 0.7,\n  \"llm_max_tokens\": 512,\n  \"inbound\": false,\n  \"sip_endpoint\": \"\",\n  \"outbound_auto_call\": false,\n  \"auto_update_dropoff_nodes\": false,\n  \"auto_update_topic_nodes\": false\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.telnyx.com/v2/ai/tests/test_framework/v1/aiagents")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_name\": \"Support Bot Under Test\",\n  \"assistant_id\": \"e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6\",\n  \"description\": \"Evaluates the support assistant against generated callers.\",\n  \"language\": \"en\",\n  \"llm_model\": \"openai/gpt-oss-120b\",\n  \"llm_temperature\": 0.7,\n  \"llm_max_tokens\": 512,\n  \"inbound\": false,\n  \"sip_endpoint\": \"\",\n  \"outbound_auto_call\": false,\n  \"auto_update_dropoff_nodes\": false,\n  \"auto_update_topic_nodes\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.telnyx.com/v2/ai/tests/test_framework/v1/aiagents")

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  \"agent_name\": \"Support Bot Under Test\",\n  \"assistant_id\": \"e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6\",\n  \"description\": \"Evaluates the support assistant against generated callers.\",\n  \"language\": \"en\",\n  \"llm_model\": \"openai/gpt-oss-120b\",\n  \"llm_temperature\": 0.7,\n  \"llm_max_tokens\": 512,\n  \"inbound\": false,\n  \"sip_endpoint\": \"\",\n  \"outbound_auto_call\": false,\n  \"auto_update_dropoff_nodes\": false,\n  \"auto_update_topic_nodes\": false\n}"

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

{
  "id": 1259,
  "agent_name": "Support Bot Under Test",
  "contact_number": "+13125550123",
  "inbound": false,
  "description": "Evaluates the support assistant against generated callers.",
  "language": "en",
  "assistant_id": "e1a2b3c4-d5e6-f7a8-b9c0-d1e2f3a4b5c6",
  "chat_assistant_id": "",
  "llm_system_prompt": "You are calling a customer support line.",
  "llm_model": "openai/gpt-oss-120b",
  "llm_temperature": 0.7,
  "llm_max_tokens": 512,
  "outbound_auto_call": false,
  "sip_endpoint": "",
  "sip_auth": null,
  "knowledge_base_files": [],
  "enabled_personalities": [
    4567
  ],
  "auto_update_dropoff_nodes": false,
  "auto_update_topic_nodes": false,
  "hallucination_metric_kb_files": [],
  "outbound_numbers": [],
  "created_at": "2026-10-13T18:04:05.123456Z",
  "updated_at": "2026-10-13T18:04:05.123456Z"
}

{
  "errors": [
    {
      "code": "10015",
      "title": "Bad Request",
      "detail": "The AI Tests service rejected the request."
    }
  ]
}

{
  "errors": [
    {
      "code": "10003",
      "title": "Unauthorized",
      "detail": "The API key is missing or invalid."
    }
  ]
}

{
  "errors": [
    {
      "code": "10005",
      "title": "Not Found",
      "detail": "The requested resource or URL could not be found."
    }
  ]
}

{
  "errors": [
    {
      "code": "10018",
      "title": "Unprocessable Entity",
      "detail": "Validation failed for the request payload."
    }
  ]
}

{
  "errors": [
    {
      "code": "10029",
      "title": "Too Many Requests",
      "detail": "Too many requests; retry later."
    }
  ]
}

{
  "errors": [
    {
      "code": "10063",
      "title": "Service Unavailable",
      "detail": "The test framework service is temporarily unavailable."
    }
  ]
}