curl --request POST \
  --url https://api.orbit.devotel.io/api/v1/agents/{agentId}/evals/runs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_id": "evalDs_2Nk9pQ",
  "rubric_name": "correctness",
  "rubric_prompt": "Score 0-100 on factual accuracy against the expected answer.",
  "judge_model": "claude-haiku-4-5-20251001",
  "threshold": 70
}
'

import requests

url = "https://api.orbit.devotel.io/api/v1/agents/{agentId}/evals/runs"

payload = {
    "dataset_id": "evalDs_2Nk9pQ",
    "rubric_name": "correctness",
    "rubric_prompt": "Score 0-100 on factual accuracy against the expected answer.",
    "judge_model": "claude-haiku-4-5-20251001",
    "threshold": 70
}
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({
    dataset_id: 'evalDs_2Nk9pQ',
    rubric_name: 'correctness',
    rubric_prompt: 'Score 0-100 on factual accuracy against the expected answer.',
    judge_model: 'claude-haiku-4-5-20251001',
    threshold: 70
  })
};

fetch('https://api.orbit.devotel.io/api/v1/agents/{agentId}/evals/runs', 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/{agentId}/evals/runs",
  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([
    'dataset_id' => 'evalDs_2Nk9pQ',
    'rubric_name' => 'correctness',
    'rubric_prompt' => 'Score 0-100 on factual accuracy against the expected answer.',
    'judge_model' => 'claude-haiku-4-5-20251001',
    'threshold' => 70
  ]),
  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/{agentId}/evals/runs"

	payload := strings.NewReader("{\n  \"dataset_id\": \"evalDs_2Nk9pQ\",\n  \"rubric_name\": \"correctness\",\n  \"rubric_prompt\": \"Score 0-100 on factual accuracy against the expected answer.\",\n  \"judge_model\": \"claude-haiku-4-5-20251001\",\n  \"threshold\": 70\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/{agentId}/evals/runs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_id\": \"evalDs_2Nk9pQ\",\n  \"rubric_name\": \"correctness\",\n  \"rubric_prompt\": \"Score 0-100 on factual accuracy against the expected answer.\",\n  \"judge_model\": \"claude-haiku-4-5-20251001\",\n  \"threshold\": 70\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.orbit.devotel.io/api/v1/agents/{agentId}/evals/runs")

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  \"dataset_id\": \"evalDs_2Nk9pQ\",\n  \"rubric_name\": \"correctness\",\n  \"rubric_prompt\": \"Score 0-100 on factual accuracy against the expected answer.\",\n  \"judge_model\": \"claude-haiku-4-5-20251001\",\n  \"threshold\": 70\n}"

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

{
  "data": {
    "id": "<string>",
    "agent_id": "<string>",
    "dataset_id": "<string>",
    "rubric_name": "correctness",
    "judge_model": "claude-haiku-4-5-20251001",
    "threshold": 70,
    "status": "pending"
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}