curl --request PUT \
  --url https://{subdomain}.mihu.ai/api/v1/evaluate/default \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "sessionization": {
    "timeout_minutes": 30,
    "report_language": "German"
  },
  "text": {
    "emotion_detection": {
      "enabled": false
    },
    "success_evaluation_prompt": {
      "prompt": "Evaluate whether the call ended with a booked demo."
    }
  }
}
'

import requests

url = "https://{subdomain}.mihu.ai/api/v1/evaluate/default"

payload = {
    "sessionization": {
        "timeout_minutes": 30,
        "report_language": "German"
    },
    "text": {
        "emotion_detection": { "enabled": False },
        "success_evaluation_prompt": { "prompt": "Evaluate whether the call ended with a booked demo." }
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    sessionization: {timeout_minutes: 30, report_language: 'German'},
    text: {
      emotion_detection: {enabled: false},
      success_evaluation_prompt: {prompt: 'Evaluate whether the call ended with a booked demo.'}
    }
  })
};

fetch('https://{subdomain}.mihu.ai/api/v1/evaluate/default', 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://{subdomain}.mihu.ai/api/v1/evaluate/default",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'sessionization' => [
        'timeout_minutes' => 30,
        'report_language' => 'German'
    ],
    'text' => [
        'emotion_detection' => [
                'enabled' => false
        ],
        'success_evaluation_prompt' => [
                'prompt' => 'Evaluate whether the call ended with a booked demo.'
        ]
    ]
  ]),
  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://{subdomain}.mihu.ai/api/v1/evaluate/default"

	payload := strings.NewReader("{\n  \"sessionization\": {\n    \"timeout_minutes\": 30,\n    \"report_language\": \"German\"\n  },\n  \"text\": {\n    \"emotion_detection\": {\n      \"enabled\": false\n    },\n    \"success_evaluation_prompt\": {\n      \"prompt\": \"Evaluate whether the call ended with a booked demo.\"\n    }\n  }\n}")

	req, _ := http.NewRequest("PUT", 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.put("https://{subdomain}.mihu.ai/api/v1/evaluate/default")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"sessionization\": {\n    \"timeout_minutes\": 30,\n    \"report_language\": \"German\"\n  },\n  \"text\": {\n    \"emotion_detection\": {\n      \"enabled\": false\n    },\n    \"success_evaluation_prompt\": {\n      \"prompt\": \"Evaluate whether the call ended with a booked demo.\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{subdomain}.mihu.ai/api/v1/evaluate/default")

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

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"sessionization\": {\n    \"timeout_minutes\": 30,\n    \"report_language\": \"German\"\n  },\n  \"text\": {\n    \"emotion_detection\": {\n      \"enabled\": false\n    },\n    \"success_evaluation_prompt\": {\n      \"prompt\": \"Evaluate whether the call ended with a booked demo.\"\n    }\n  }\n}"

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

{
  "success": true,
  "message": "Agent evaluate settings retrieved",
  "data": {
    "agent_uuid": "65d4553e-f383-46ad-bf97-69bf071b3ebb",
    "is_default": false,
    "is_active": true,
    "source": "agent",
    "sessionization": {
      "session_mode": "sliding_timeout",
      "timeout_minutes": 5,
      "report_language": "English",
      "summary_prompt": "Summarize the guest interaction in 2-3 sentences, focusing on key requests and resolutions."
    },
    "text": {
      "sentiment_analyzer": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "emotion_detection": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intensity_strength_levels": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intent_action_sentiment": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intent_labels": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "knowledge_gap": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "human_escalation_detection": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "contextual_sentiment": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "customer_satisfaction_score": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "success_evaluation_prompt": {
        "enabled": true,
        "description": "Determine if the conversation indicates a successful outcome based on context and specific phrases",
        "prompt": "Evaluate if the customer's main request was handled properly and if the issue they needed help with was fully resolved."
      }
    },
    "voice": {
      "sentiment_analyzer": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "emotion_detection": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intensity_strength_levels": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intent_action_sentiment": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "intent_labels": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "knowledge_gap": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "human_escalation_detection": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "contextual_sentiment": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "customer_satisfaction_score": {
        "enabled": true,
        "description": "Classify the sentiment of the following text as Positive, Neutral, or Negative"
      },
      "success_evaluation_prompt": {
        "enabled": true,
        "description": "Determine if the conversation indicates a successful outcome based on context and specific phrases",
        "prompt": "Evaluate if the customer's main request was handled properly and if the issue they needed help with was fully resolved."
      }
    },
    "created_at": "2026-01-15T10:23:00+00:00",
    "updated_at": "2026-05-08T14:12:33+00:00"
  }
}

{
  "message": "The sessionization.timeout minutes field must be an integer.",
  "errors": {
    "sessionization.timeout_minutes": [
      "The sessionization.timeout minutes field must be an integer."
    ]
  }
}