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

import requests

url = "https://api.galtea.ai/inferenceResults/{id}"

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/inferenceResults/{id}', 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/inferenceResults/{id}",
  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/inferenceResults/{id}"

	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/inferenceResults/{id}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/inferenceResults/{id}")

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": "ir_123",
  "sessionId": "session_123",
  "userId": "user_123",
  "index": 0,
  "status": "PENDING",
  "error": null,
  "input": {
    "user_message": "User input text"
  },
  "actualOutput": "Model response",
  "latency": 150,
  "inputTokens": 100,
  "outputTokens": 50,
  "cacheReadInputTokens": 20,
  "tokens": 150,
  "costPerInputToken": 0.00001,
  "costPerOutputToken": 0.00003,
  "costPerCacheReadInputToken": 0.000005,
  "cost": 0.001,
  "creditsUsed": 1,
  "droppedSpanCount": 2,
  "conversationSimulatorVersion": "1.0.0",
  "traceId": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4",
  "createdAt": "2023-11-07T05:31:56Z",
  "deletedAt": "2023-11-07T05:31:56Z",
  "comments": [
    {
      "id": "comment_123",
      "inferenceResultId": "inferenceResult_123",
      "text": "Agent hallucinated the price.",
      "tags": [
        "hallucination",
        "tone"
      ],
      "userId": "user_123",
      "userName": "John Doe",
      "userEmail": "user@example.com",
      "createdAt": "2023-11-07T05:31:56Z"
    }
  ]
}

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

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