curl --request POST \
  --url https://api.egp.scale.com/v4/evaluations \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "application_spec_id": "<string>",
  "application_variant_id": "<string>",
  "account_id": "<string>",
  "evaluation_dataset_id": "<string>",
  "tags": {},
  "evaluation_config": {},
  "evaluation_config_id": "<string>",
  "question_id_to_annotation_config": {},
  "annotation_config": {
    "components": [
      [
        {
          "data_loc": [
            "<string>"
          ],
          "optional": false,
          "label": "<string>"
        }
      ]
    ],
    "direction": "row"
  },
  "type": "builder",
  "evaluation_dataset_version": 123,
  "application_test_case_output_group_id": "<string>",
  "inline_evaluation_config": {
    "question_set_id": "<string>",
    "account_id": "<string>",
    "evaluation_type": "llm_auto",
    "studio_project_id": "<string>",
    "auto_evaluation_model": "gpt-4-turbo-2024-04-09",
    "auto_evaluation_parameters": {
      "temperature": 1,
      "batch_size": 13
    }
  }
}
'

import requests

url = "https://api.egp.scale.com/v4/evaluations"

payload = {
    "name": "<string>",
    "description": "<string>",
    "application_spec_id": "<string>",
    "application_variant_id": "<string>",
    "account_id": "<string>",
    "evaluation_dataset_id": "<string>",
    "tags": {},
    "evaluation_config": {},
    "evaluation_config_id": "<string>",
    "question_id_to_annotation_config": {},
    "annotation_config": {
        "components": [[
                {
                    "data_loc": ["<string>"],
                    "optional": False,
                    "label": "<string>"
                }
            ]],
        "direction": "row"
    },
    "type": "builder",
    "evaluation_dataset_version": 123,
    "application_test_case_output_group_id": "<string>",
    "inline_evaluation_config": {
        "question_set_id": "<string>",
        "account_id": "<string>",
        "evaluation_type": "llm_auto",
        "studio_project_id": "<string>",
        "auto_evaluation_model": "gpt-4-turbo-2024-04-09",
        "auto_evaluation_parameters": {
            "temperature": 1,
            "batch_size": 13
        }
    }
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    description: '<string>',
    application_spec_id: '<string>',
    application_variant_id: '<string>',
    account_id: '<string>',
    evaluation_dataset_id: '<string>',
    tags: {},
    evaluation_config: {},
    evaluation_config_id: '<string>',
    question_id_to_annotation_config: {},
    annotation_config: {
      components: [[{data_loc: ['<string>'], optional: false, label: '<string>'}]],
      direction: 'row'
    },
    type: 'builder',
    evaluation_dataset_version: 123,
    application_test_case_output_group_id: '<string>',
    inline_evaluation_config: {
      question_set_id: '<string>',
      account_id: '<string>',
      evaluation_type: 'llm_auto',
      studio_project_id: '<string>',
      auto_evaluation_model: 'gpt-4-turbo-2024-04-09',
      auto_evaluation_parameters: {temperature: 1, batch_size: 13}
    }
  })
};

fetch('https://api.egp.scale.com/v4/evaluations', 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.egp.scale.com/v4/evaluations",
  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>',
    'description' => '<string>',
    'application_spec_id' => '<string>',
    'application_variant_id' => '<string>',
    'account_id' => '<string>',
    'evaluation_dataset_id' => '<string>',
    'tags' => [
        
    ],
    'evaluation_config' => [
        
    ],
    'evaluation_config_id' => '<string>',
    'question_id_to_annotation_config' => [
        
    ],
    'annotation_config' => [
        'components' => [
                [
                                [
                                                                'data_loc' => [
                                                                                                                                '<string>'
                                                                ],
                                                                'optional' => false,
                                                                'label' => '<string>'
                                ]
                ]
        ],
        'direction' => 'row'
    ],
    'type' => 'builder',
    'evaluation_dataset_version' => 123,
    'application_test_case_output_group_id' => '<string>',
    'inline_evaluation_config' => [
        'question_set_id' => '<string>',
        'account_id' => '<string>',
        'evaluation_type' => 'llm_auto',
        'studio_project_id' => '<string>',
        'auto_evaluation_model' => 'gpt-4-turbo-2024-04-09',
        'auto_evaluation_parameters' => [
                'temperature' => 1,
                'batch_size' => 13
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <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://api.egp.scale.com/v4/evaluations"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"application_spec_id\": \"<string>\",\n  \"application_variant_id\": \"<string>\",\n  \"account_id\": \"<string>\",\n  \"evaluation_dataset_id\": \"<string>\",\n  \"tags\": {},\n  \"evaluation_config\": {},\n  \"evaluation_config_id\": \"<string>\",\n  \"question_id_to_annotation_config\": {},\n  \"annotation_config\": {\n    \"components\": [\n      [\n        {\n          \"data_loc\": [\n            \"<string>\"\n          ],\n          \"optional\": false,\n          \"label\": \"<string>\"\n        }\n      ]\n    ],\n    \"direction\": \"row\"\n  },\n  \"type\": \"builder\",\n  \"evaluation_dataset_version\": 123,\n  \"application_test_case_output_group_id\": \"<string>\",\n  \"inline_evaluation_config\": {\n    \"question_set_id\": \"<string>\",\n    \"account_id\": \"<string>\",\n    \"evaluation_type\": \"llm_auto\",\n    \"studio_project_id\": \"<string>\",\n    \"auto_evaluation_model\": \"gpt-4-turbo-2024-04-09\",\n    \"auto_evaluation_parameters\": {\n      \"temperature\": 1,\n      \"batch_size\": 13\n    }\n  }\n}")

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

	req.Header.Add("x-api-key", "<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://api.egp.scale.com/v4/evaluations")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"application_spec_id\": \"<string>\",\n  \"application_variant_id\": \"<string>\",\n  \"account_id\": \"<string>\",\n  \"evaluation_dataset_id\": \"<string>\",\n  \"tags\": {},\n  \"evaluation_config\": {},\n  \"evaluation_config_id\": \"<string>\",\n  \"question_id_to_annotation_config\": {},\n  \"annotation_config\": {\n    \"components\": [\n      [\n        {\n          \"data_loc\": [\n            \"<string>\"\n          ],\n          \"optional\": false,\n          \"label\": \"<string>\"\n        }\n      ]\n    ],\n    \"direction\": \"row\"\n  },\n  \"type\": \"builder\",\n  \"evaluation_dataset_version\": 123,\n  \"application_test_case_output_group_id\": \"<string>\",\n  \"inline_evaluation_config\": {\n    \"question_set_id\": \"<string>\",\n    \"account_id\": \"<string>\",\n    \"evaluation_type\": \"llm_auto\",\n    \"studio_project_id\": \"<string>\",\n    \"auto_evaluation_model\": \"gpt-4-turbo-2024-04-09\",\n    \"auto_evaluation_parameters\": {\n      \"temperature\": 1,\n      \"batch_size\": 13\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.egp.scale.com/v4/evaluations")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"application_spec_id\": \"<string>\",\n  \"application_variant_id\": \"<string>\",\n  \"account_id\": \"<string>\",\n  \"evaluation_dataset_id\": \"<string>\",\n  \"tags\": {},\n  \"evaluation_config\": {},\n  \"evaluation_config_id\": \"<string>\",\n  \"question_id_to_annotation_config\": {},\n  \"annotation_config\": {\n    \"components\": [\n      [\n        {\n          \"data_loc\": [\n            \"<string>\"\n          ],\n          \"optional\": false,\n          \"label\": \"<string>\"\n        }\n      ]\n    ],\n    \"direction\": \"row\"\n  },\n  \"type\": \"builder\",\n  \"evaluation_dataset_version\": 123,\n  \"application_test_case_output_group_id\": \"<string>\",\n  \"inline_evaluation_config\": {\n    \"question_set_id\": \"<string>\",\n    \"account_id\": \"<string>\",\n    \"evaluation_type\": \"llm_auto\",\n    \"studio_project_id\": \"<string>\",\n    \"auto_evaluation_model\": \"gpt-4-turbo-2024-04-09\",\n    \"auto_evaluation_parameters\": {\n      \"temperature\": 1,\n      \"batch_size\": 13\n    }\n  }\n}"

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

{
  "name": "<string>",
  "description": "<string>",
  "status": "PENDING",
  "application_spec_id": "<string>",
  "total_test_case_result_count": 123,
  "completed_test_case_result_count": 123,
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "created_by_user_id": "<string>",
  "created_by_identity_type": "user",
  "application_variant_id": "<string>",
  "tags": {},
  "evaluation_config": {},
  "evaluation_config_id": "<string>",
  "completed_at": "2023-11-07T05:31:56Z",
  "annotation_config": {
    "annotation_config_type": "flexible",
    "components": [
      [
        {
          "data_loc": [
            "<string>"
          ],
          "optional": false,
          "label": "<string>"
        }
      ]
    ],
    "direction": "row",
    "llm_prompt": {
      "variables": [
        {
          "name": "<string>",
          "data_loc": [
            "<string>"
          ],
          "optional": false
        }
      ],
      "template": "<string>"
    }
  },
  "question_id_to_annotation_config": {},
  "metric_config": {
    "components": [
      {
        "type": "rouge",
        "name": "<string>",
        "mappings": {},
        "params": {}
      }
    ]
  },
  "archived_at": "2023-11-07T05:31:56Z"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}