curl --request POST \
  --url https://api.galtea.ai/metrics/{id}/activate-optimization \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.galtea.ai/metrics/{id}/activate-optimization"

headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.galtea.ai/metrics/{id}/activate-optimization', 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.galtea.ai/metrics/{id}/activate-optimization",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.galtea.ai/metrics/{id}/activate-optimization"

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

	req.Header.Add("Authorization", "Bearer <token>")

	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.galtea.ai/metrics/{id}/activate-optimization")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics/{id}/activate-optimization")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "id": "metric_123",
  "metricGroupId": "metric_123",
  "parentMetricId": "metric_122",
  "organizationId": "org_123",
  "userId": "user_123",
  "name": "Accuracy",
  "evaluationParams": [
    "input",
    "actual_output",
    "expected_output"
  ],
  "source": "PARTIAL_PROMPT",
  "judgePrompt": "Evaluate the accuracy of the response",
  "tags": [
    "accuracy",
    "quality"
  ],
  "description": "Measures the accuracy of responses",
  "documentationUrl": "https://docs.example.com/metrics/accuracy",
  "evaluatorModelName": "GPT-4",
  "areEvalParamsTop": true,
  "isBeingOptimized": true,
  "optimizationStatus": "READY_FOR_REVIEW",
  "judgeGenerationSettings": {
    "temperature": 0.3,
    "topP": 0.9,
    "maxOutputTokens": 512,
    "reasoningEffort": "low"
  },
  "optimizationValidation": {
    "used": true,
    "heldOutEvaluationIds": [
      "evaluation_123"
    ],
    "results": {
      "optimization": {
        "rowsScored": 25,
        "rowsTotal": 25,
        "source": {
          "correct": 20,
          "alignment": 0.71
        },
        "candidate": {
          "correct": 20,
          "alignment": 0.71
        }
      },
      "validation": {
        "rowsScored": 25,
        "rowsTotal": 25,
        "source": {
          "correct": 20,
          "alignment": 0.71
        },
        "candidate": {
          "correct": 20,
          "alignment": 0.71
        }
      }
    },
    "rows": [
      {
        "evaluationId": "evaluation_123",
        "humanScore": 1,
        "sourceScore": 0,
        "candidateScore": 1
      }
    ]
  },
  "specificationIds": [
    "spec_123"
  ],
  "userGroupIds": [
    "ug_123"
  ],
  "createdAt": "2023-11-07T05:31:56Z",
  "legacyAt": "2023-11-07T05:31:56Z",
  "disabledAt": "2023-11-07T05:31:56Z",
  "excludedFromAnalyticsAt": "2023-11-07T05:31:56Z",
  "excludedByUserId": "<string>"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}