Create a prompt

package main

import(
	"context"
	mka1 "github.com/MeetKai/mka1-sdks/go"
	"github.com/MeetKai/mka1-sdks/go/models/components"
	"log"
)

func main() {
    ctx := context.Background()

    s := mka1.New(
        mka1.WithSecurity("<YOUR_BEARER_TOKEN_HERE>"),
    )

    res, err := s.Llm.Prompts.Create(ctx, components.CreatePromptRequest{
        Name: "Customer Support Classifier",
        Description: mka1.Pointer("Classifies incoming customer messages by intent"),
        Template: "Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}",
    }, nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.CreatePromptResponse != nil {
        // handle response
    }
}

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;

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

var res = await sdk.Llm.Prompts.CreateAsync(body: new MeetKai.MKA1.Types.Components.CreatePromptRequest() {
    Name = "Customer Support Classifier",
    Description = "Classifies incoming customer messages by intent",
    Template = @"Classify the following customer message into one of these categories: {{categories}}

    Message: {{message}}",
});

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.llm.prompts.create(name="Customer Support Classifier", template="Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}", description="Classifies incoming customer messages by intent")

    # 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.llm.prompts.create({
    createPromptRequest: {
      name: "Customer Support Classifier",
      description: "Classifies incoming customer messages by intent",
      template: "Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}",
    },
  });

  console.log(result);
}

run();

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/prompts \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Customer Support Classifier",
  "description": "Classifies incoming customer messages by intent",
  "template": "Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Customer Support Classifier',
    description: 'Classifies incoming customer messages by intent',
    template: 'Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}'
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/prompts', 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/prompts",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => 'Customer Support Classifier',
    'description' => 'Classifies incoming customer messages by intent',
    'template' => 'Classify the following customer message into one of these categories: {{categories}}

Message: {{message}}'
  ]),
  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;
}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/prompts")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Customer Support Classifier\",\n  \"description\": \"Classifies incoming customer messages by intent\",\n  \"template\": \"Classify the following customer message into one of these categories: {{categories}}\\n\\nMessage: {{message}}\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/prompts")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Customer Support Classifier\",\n  \"description\": \"Classifies incoming customer messages by intent\",\n  \"template\": \"Classify the following customer message into one of these categories: {{categories}}\\n\\nMessage: {{message}}\"\n}"

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

{
  "id": "prompt_aa87e2b1112a455b8deabed784372198",
  "object": "prompt",
  "name": "Customer Support Classifier",
  "description": "Classifies incoming customer messages by intent",
  "active_version": 1,
  "latest_version": 1,
  "metadata": {},
  "created_at": "2026-03-15T10:30:00Z",
  "updated_at": "2026-03-15T10:30:00Z",
  "version": {
    "id": "pver_bb98f3c2223b566c9dfbcef895483209",
    "prompt_id": "prompt_aa87e2b1112a455b8deabed784372198",
    "version": 1,
    "object": "prompt.version",
    "template": "Classify the following customer message into one of these categories: {{categories}}\n\nMessage: {{message}}",
    "created_at": "2026-03-15T10:30:00Z"
  }
}