from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.guardrails.update_cluster_default_guardrails(enabled=True, guardrails=[
        {
            "mode": "prompt_injection",
            "enabled": True,
            "config": {
                "threshold": 0.7,
            },
        },
        {
            "mode": "leakage",
            "enabled": True,
            "config": {
                "threshold": 0.7,
            },
        },
        {
            "mode": "classifier",
            "enabled": True,
            "config": {
                "model": "meetkai:custom-classifier",
                "prompt": "Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.",
                "on_error": "fail_closed",
                "rejection_message": "This request is not allowed by your organization's content policy.",
            },
        },
    ])

    # Handle response
    print(res)

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.guardrails.updateClusterDefaultGuardrails({
    enabled: true,
    guardrails: [
      {
        mode: "prompt_injection",
        enabled: true,
        config: {
          threshold: 0.7,
        },
      },
      {
        mode: "leakage",
        enabled: true,
        config: {
          threshold: 0.7,
        },
      },
      {
        mode: "classifier",
        enabled: true,
        config: {
          model: "meetkai:custom-classifier",
          prompt: "Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.",
          onError: "fail_closed",
          rejectionMessage: "This request is not allowed by your organization's content policy.",
        },
      },
    ],
  });

  console.log(result);
}

run();

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using System.Collections.Generic;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

UpdateClusterDefaultGuardrailsRequest req = new UpdateClusterDefaultGuardrailsRequest() {
    Enabled = true,
    Guardrails = new List<GuardrailConfig>() {
        GuardrailConfig.CreatePromptInjection(
            new PromptInjectionGuardrail() {
                Config = new PromptInjectionConfig() {},
            }
        ),
        GuardrailConfig.CreateLeakage(
            new LeakageGuardrail() {
                Config = new LeakageConfig() {},
            }
        ),
        GuardrailConfig.CreateClassifier(
            new ClassifierGuardrail() {
                Config = new ClassifierConfig() {
                    Model = "meetkai:custom-classifier",
                    Prompt = "Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.",
                },
            }
        ),
    },
};

var res = await sdk.Guardrails.UpdateClusterDefaultGuardrailsAsync(req);

// handle response

curl --request PUT \
  --url https://apigw.mka1.com/api/v1/llm/guardrails/cluster-default \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "enabled": true,
  "guardrails": [
    {
      "mode": "prompt_injection",
      "enabled": true,
      "config": {
        "threshold": 0.7
      }
    },
    {
      "mode": "leakage",
      "enabled": true,
      "config": {
        "threshold": 0.7
      }
    },
    {
      "mode": "classifier",
      "enabled": true,
      "config": {
        "model": "meetkai:custom-classifier",
        "prompt": "Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.",
        "on_error": "fail_closed",
        "rejection_message": "This request is not allowed by your organization's content policy."
      }
    }
  ]
}
EOF

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    enabled: true,
    guardrails: [
      {mode: 'prompt_injection', enabled: true, config: {threshold: 0.7}},
      {mode: 'leakage', enabled: true, config: {threshold: 0.7}},
      {
        mode: 'classifier',
        enabled: true,
        config: {
          model: 'meetkai:custom-classifier',
          prompt: 'Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.',
          on_error: 'fail_closed',
          rejection_message: 'This request is not allowed by your organization\'s content policy.'
        }
      }
    ]
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/guardrails/cluster-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://apigw.mka1.com/api/v1/llm/guardrails/cluster-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([
    'enabled' => true,
    'guardrails' => [
        [
                'mode' => 'prompt_injection',
                'enabled' => true,
                'config' => [
                                'threshold' => 0.7
                ]
        ],
        [
                'mode' => 'leakage',
                'enabled' => true,
                'config' => [
                                'threshold' => 0.7
                ]
        ],
        [
                'mode' => 'classifier',
                'enabled' => true,
                'config' => [
                                'model' => 'meetkai:custom-classifier',
                                'prompt' => 'Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.',
                                'on_error' => 'fail_closed',
                                'rejection_message' => 'This request is not allowed by your organization\'s content policy.'
                ]
        ]
    ]
  ]),
  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://apigw.mka1.com/api/v1/llm/guardrails/cluster-default"

	payload := strings.NewReader("{\n  \"enabled\": true,\n  \"guardrails\": [\n    {\n      \"mode\": \"prompt_injection\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"leakage\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"classifier\",\n      \"enabled\": true,\n      \"config\": {\n        \"model\": \"meetkai:custom-classifier\",\n        \"prompt\": \"Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.\",\n        \"on_error\": \"fail_closed\",\n        \"rejection_message\": \"This request is not allowed by your organization's content policy.\"\n      }\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://apigw.mka1.com/api/v1/llm/guardrails/cluster-default")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"enabled\": true,\n  \"guardrails\": [\n    {\n      \"mode\": \"prompt_injection\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"leakage\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"classifier\",\n      \"enabled\": true,\n      \"config\": {\n        \"model\": \"meetkai:custom-classifier\",\n        \"prompt\": \"Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.\",\n        \"on_error\": \"fail_closed\",\n        \"rejection_message\": \"This request is not allowed by your organization's content policy.\"\n      }\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/guardrails/cluster-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  \"enabled\": true,\n  \"guardrails\": [\n    {\n      \"mode\": \"prompt_injection\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"leakage\",\n      \"enabled\": true,\n      \"config\": {\n        \"threshold\": 0.7\n      }\n    },\n    {\n      \"mode\": \"classifier\",\n      \"enabled\": true,\n      \"config\": {\n        \"model\": \"meetkai:custom-classifier\",\n        \"prompt\": \"Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.\",\n        \"on_error\": \"fail_closed\",\n        \"rejection_message\": \"This request is not allowed by your organization's content policy.\"\n      }\n    }\n  ]\n}"

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

{
  "object": "guardrails_cluster_default",
  "enabled": true,
  "guardrails": [
    {
      "mode": "prompt_injection",
      "enabled": true,
      "config": {
        "threshold": 0.7
      }
    },
    {
      "mode": "leakage",
      "enabled": true,
      "config": {
        "threshold": 0.7
      }
    },
    {
      "mode": "classifier",
      "enabled": true,
      "config": {
        "model": "meetkai:custom-classifier",
        "prompt": "Block content that expresses hate toward people based on a protected characteristic, threatens or glorifies violence, is sexually explicit or sexualizes minors, or encourages or instructs self-harm. Allow neutral educational, news, medical and support discussion of these topics.",
        "on_error": "fail_closed",
        "rejection_message": "This request is not allowed by your organization's content policy."
      }
    }
  ],
  "built_in": false,
  "settings_unreadable": false,
  "updated_by": "user-cluster-admin-1",
  "updated_at": "2026-10-16T12:00:00.000Z"
}