curl --request POST \
  --url https://api.orbit.devotel.io/api/v1/agents/voice-eval/suites/run \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "golden_set_ids": [
    "vevg_golden_set_001",
    "vevg_golden_set_002"
  ],
  "agent_id": "agt_8b21d0",
  "trigger_source": "manual",
  "stt_provider": "<string>",
  "tts_provider": "<string>",
  "llm_model": "<string>",
  "p95_regression_threshold": 123,
  "judge_score_regression_threshold": 123
}
'

import requests

url = "https://api.orbit.devotel.io/api/v1/agents/voice-eval/suites/run"

payload = {
    "golden_set_ids": ["vevg_golden_set_001", "vevg_golden_set_002"],
    "agent_id": "agt_8b21d0",
    "trigger_source": "manual",
    "stt_provider": "<string>",
    "tts_provider": "<string>",
    "llm_model": "<string>",
    "p95_regression_threshold": 123,
    "judge_score_regression_threshold": 123
}
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({
    golden_set_ids: ['vevg_golden_set_001', 'vevg_golden_set_002'],
    agent_id: 'agt_8b21d0',
    trigger_source: 'manual',
    stt_provider: '<string>',
    tts_provider: '<string>',
    llm_model: '<string>',
    p95_regression_threshold: 123,
    judge_score_regression_threshold: 123
  })
};

fetch('https://api.orbit.devotel.io/api/v1/agents/voice-eval/suites/run', 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.orbit.devotel.io/api/v1/agents/voice-eval/suites/run",
  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([
    'golden_set_ids' => [
        'vevg_golden_set_001',
        'vevg_golden_set_002'
    ],
    'agent_id' => 'agt_8b21d0',
    'trigger_source' => 'manual',
    'stt_provider' => '<string>',
    'tts_provider' => '<string>',
    'llm_model' => '<string>',
    'p95_regression_threshold' => 123,
    'judge_score_regression_threshold' => 123
  ]),
  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.orbit.devotel.io/api/v1/agents/voice-eval/suites/run"

	payload := strings.NewReader("{\n  \"golden_set_ids\": [\n    \"vevg_golden_set_001\",\n    \"vevg_golden_set_002\"\n  ],\n  \"agent_id\": \"agt_8b21d0\",\n  \"trigger_source\": \"manual\",\n  \"stt_provider\": \"<string>\",\n  \"tts_provider\": \"<string>\",\n  \"llm_model\": \"<string>\",\n  \"p95_regression_threshold\": 123,\n  \"judge_score_regression_threshold\": 123\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.orbit.devotel.io/api/v1/agents/voice-eval/suites/run")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"golden_set_ids\": [\n    \"vevg_golden_set_001\",\n    \"vevg_golden_set_002\"\n  ],\n  \"agent_id\": \"agt_8b21d0\",\n  \"trigger_source\": \"manual\",\n  \"stt_provider\": \"<string>\",\n  \"tts_provider\": \"<string>\",\n  \"llm_model\": \"<string>\",\n  \"p95_regression_threshold\": 123,\n  \"judge_score_regression_threshold\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.orbit.devotel.io/api/v1/agents/voice-eval/suites/run")

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  \"golden_set_ids\": [\n    \"vevg_golden_set_001\",\n    \"vevg_golden_set_002\"\n  ],\n  \"agent_id\": \"agt_8b21d0\",\n  \"trigger_source\": \"manual\",\n  \"stt_provider\": \"<string>\",\n  \"tts_provider\": \"<string>\",\n  \"llm_model\": \"<string>\",\n  \"p95_regression_threshold\": 123,\n  \"judge_score_regression_threshold\": 123\n}"

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

{
  "data": {
    "suite_run_id": "vevs_a1b2c3",
    "sets": [
      {
        "golden_set_id": "<string>",
        "run_id": "<string>",
        "cases_total": 123,
        "cases_passed": 123,
        "cases_failed": 123,
        "pass_rate": 123,
        "p95_latency_ms": 123,
        "baseline_run_id": "<string>",
        "p95_regression_pct": 123,
        "judge_score_regression_pct": 123,
        "has_regression": true,
        "error": "<string>"
      }
    ],
    "aggregate": {
      "sets_total": 123,
      "sets_failed_to_run": 123,
      "sets_with_regression": 123,
      "cases_total": 123,
      "cases_passed": 123,
      "cases_failed": 123,
      "pass_rate": 123,
      "worst_p95_regression_pct": 123,
      "worst_judge_score_regression_pct": 123,
      "has_regression": true,
      "is_simulated": true
    },
    "simulation_notice": "STT and TTS latencies are stubbed (synthetic). Do not use these numbers for STT/TTS provider procurement decisions."
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "RATE_LIMITED",
    "message": "<string>",
    "status": 429,
    "retry_after": 2
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "status": 123,
    "details": {}
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}