curl --request GET \
  --url https://api.galtea.ai/metrics \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.galtea.ai/metrics"

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

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

print(response.text)

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

fetch('https://api.galtea.ai/metrics', 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",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  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"

	req, _ := http.NewRequest("GET", 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.get("https://api.galtea.ai/metrics")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics")

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

request = Net::HTTP::Get.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
        }
      ]
    },
    "optimizationRun": {
      "strategies": [
        "ADD_RUBRIC",
        "SIMPLIFY"
      ],
      "maxSteps": 6,
      "stepsUsed": 4
    },
    "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"
}