curl --request POST \
  --url https://app.traceroot.ai/api/v1/public/evaluation-runs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "candidate_version": "<string>",
  "dataset_id": "<string>",
  "evaluation_name": "<string>",
  "baseline_run_id": "<string>",
  "case_count": 4503599627370495,
  "client_run_id": "<string>",
  "dataset_version_id": "<string>",
  "environment": "evaluation",
  "evaluation_key": "<string>",
  "metadata": {},
  "scorers": [
    {
      "name": "<string>",
      "version": "<string>",
      "description": "<string>",
      "emitted_metrics": [
        {
          "name": "<string>",
          "threshold": 123
        }
      ],
      "key": "<string>",
      "messages": [
        {
          "content": "<string>",
          "role": "<string>"
        }
      ],
      "metadata": null,
      "model": "<string>",
      "required_inputs": [
        "<string>"
      ],
      "source": "<string>",
      "threshold": 123
    }
  ]
}
'

import requests

url = "https://app.traceroot.ai/api/v1/public/evaluation-runs"

payload = {
    "candidate_version": "<string>",
    "dataset_id": "<string>",
    "evaluation_name": "<string>",
    "baseline_run_id": "<string>",
    "case_count": 4503599627370495,
    "client_run_id": "<string>",
    "dataset_version_id": "<string>",
    "environment": "evaluation",
    "evaluation_key": "<string>",
    "metadata": {},
    "scorers": [
        {
            "name": "<string>",
            "version": "<string>",
            "description": "<string>",
            "emitted_metrics": [
                {
                    "name": "<string>",
                    "threshold": 123
                }
            ],
            "key": "<string>",
            "messages": [
                {
                    "content": "<string>",
                    "role": "<string>"
                }
            ],
            "metadata": None,
            "model": "<string>",
            "required_inputs": ["<string>"],
            "source": "<string>",
            "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({
    candidate_version: '<string>',
    dataset_id: '<string>',
    evaluation_name: '<string>',
    baseline_run_id: '<string>',
    case_count: 4503599627370495,
    client_run_id: '<string>',
    dataset_version_id: '<string>',
    environment: 'evaluation',
    evaluation_key: '<string>',
    metadata: {},
    scorers: [
      {
        name: '<string>',
        version: '<string>',
        description: '<string>',
        emitted_metrics: [{name: '<string>', threshold: 123}],
        key: '<string>',
        messages: [{content: '<string>', role: '<string>'}],
        metadata: null,
        model: '<string>',
        required_inputs: ['<string>'],
        source: '<string>',
        threshold: 123
      }
    ]
  })
};

fetch('https://app.traceroot.ai/api/v1/public/evaluation-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://app.traceroot.ai/api/v1/public/evaluation-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([
    'candidate_version' => '<string>',
    'dataset_id' => '<string>',
    'evaluation_name' => '<string>',
    'baseline_run_id' => '<string>',
    'case_count' => 4503599627370495,
    'client_run_id' => '<string>',
    'dataset_version_id' => '<string>',
    'environment' => 'evaluation',
    'evaluation_key' => '<string>',
    'metadata' => [
        
    ],
    'scorers' => [
        [
                'name' => '<string>',
                'version' => '<string>',
                'description' => '<string>',
                'emitted_metrics' => [
                                [
                                                                'name' => '<string>',
                                                                'threshold' => 123
                                ]
                ],
                'key' => '<string>',
                'messages' => [
                                [
                                                                'content' => '<string>',
                                                                'role' => '<string>'
                                ]
                ],
                'metadata' => null,
                'model' => '<string>',
                'required_inputs' => [
                                '<string>'
                ],
                'source' => '<string>',
                '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://app.traceroot.ai/api/v1/public/evaluation-runs"

	payload := strings.NewReader("{\n  \"candidate_version\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"evaluation_name\": \"<string>\",\n  \"baseline_run_id\": \"<string>\",\n  \"case_count\": 4503599627370495,\n  \"client_run_id\": \"<string>\",\n  \"dataset_version_id\": \"<string>\",\n  \"environment\": \"evaluation\",\n  \"evaluation_key\": \"<string>\",\n  \"metadata\": {},\n  \"scorers\": [\n    {\n      \"name\": \"<string>\",\n      \"version\": \"<string>\",\n      \"description\": \"<string>\",\n      \"emitted_metrics\": [\n        {\n          \"name\": \"<string>\",\n          \"threshold\": 123\n        }\n      ],\n      \"key\": \"<string>\",\n      \"messages\": [\n        {\n          \"content\": \"<string>\",\n          \"role\": \"<string>\"\n        }\n      ],\n      \"metadata\": null,\n      \"model\": \"<string>\",\n      \"required_inputs\": [\n        \"<string>\"\n      ],\n      \"source\": \"<string>\",\n      \"threshold\": 123\n    }\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://app.traceroot.ai/api/v1/public/evaluation-runs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"candidate_version\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"evaluation_name\": \"<string>\",\n  \"baseline_run_id\": \"<string>\",\n  \"case_count\": 4503599627370495,\n  \"client_run_id\": \"<string>\",\n  \"dataset_version_id\": \"<string>\",\n  \"environment\": \"evaluation\",\n  \"evaluation_key\": \"<string>\",\n  \"metadata\": {},\n  \"scorers\": [\n    {\n      \"name\": \"<string>\",\n      \"version\": \"<string>\",\n      \"description\": \"<string>\",\n      \"emitted_metrics\": [\n        {\n          \"name\": \"<string>\",\n          \"threshold\": 123\n        }\n      ],\n      \"key\": \"<string>\",\n      \"messages\": [\n        {\n          \"content\": \"<string>\",\n          \"role\": \"<string>\"\n        }\n      ],\n      \"metadata\": null,\n      \"model\": \"<string>\",\n      \"required_inputs\": [\n        \"<string>\"\n      ],\n      \"source\": \"<string>\",\n      \"threshold\": 123\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.traceroot.ai/api/v1/public/evaluation-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  \"candidate_version\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"evaluation_name\": \"<string>\",\n  \"baseline_run_id\": \"<string>\",\n  \"case_count\": 4503599627370495,\n  \"client_run_id\": \"<string>\",\n  \"dataset_version_id\": \"<string>\",\n  \"environment\": \"evaluation\",\n  \"evaluation_key\": \"<string>\",\n  \"metadata\": {},\n  \"scorers\": [\n    {\n      \"name\": \"<string>\",\n      \"version\": \"<string>\",\n      \"description\": \"<string>\",\n      \"emitted_metrics\": [\n        {\n          \"name\": \"<string>\",\n          \"threshold\": 123\n        }\n      ],\n      \"key\": \"<string>\",\n      \"messages\": [\n        {\n          \"content\": \"<string>\",\n          \"role\": \"<string>\"\n        }\n      ],\n      \"metadata\": null,\n      \"model\": \"<string>\",\n      \"required_inputs\": [\n        \"<string>\"\n      ],\n      \"source\": \"<string>\",\n      \"threshold\": 123\n    }\n  ]\n}"

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

{
  "dataset_version_id": "<string>",
  "evaluation_id": "<string>",
  "evaluation_run_id": "<string>",
  "run_number": 123,
  "run_path": "<string>",
  "run_url": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}