Quickstart

npm install @meetkai/mka1

npm install openai

pip install meetkai-mka1

dotnet add package MeetKai.MKA1

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

const sdk = new SDK({ bearerAuth: 'Bearer <mka1-api-key>' });

const result = await sdk.llm.responses.create({
  xOnBehalfOf: '<end-user-id>', // optional — attribute the request to one of your end users
  responsesCreateRequest: {
    model: 'auto',
    input: 'Write a one-sentence summary of the MKA1 API.',
  },
});

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: '<mka1-api-key>',
  baseURL: 'https://apigw.mka1.com/api/v1/llm/',
  defaultHeaders: { 'X-On-Behalf-Of': '<end-user-id>' },
});

const response = await openai.responses.create({
  model: 'auto',
  input: 'Write a one-sentence summary of the MKA1 API.',
  stream: false,
});

from meetkai_mka1 import SDK

sdk = SDK(bearer_auth="Bearer <mka1-api-key>")

res = sdk.llm.responses.create(
    model="auto",
    input="Write a one-sentence summary of the MKA1 API.",
    x_on_behalf_of="<end-user-id>",  # optional — attribute the request to one of your end users
)

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

var sdk = new SDK(bearerAuth: "Bearer <mka1-api-key>");

var res = await sdk.Llm.Responses.CreateAsync(new ResponsesCreateRequest()
{
    Model = "auto",
    Input = ResponsesCreateRequestInput.CreateStr(
        "Write a one-sentence summary of the MKA1 API."),
});

mka1 llm responses create \
  --model auto \
  --input '"Write a one-sentence summary of the MKA1 API."' \
  -H 'X-On-Behalf-Of: <end-user-id>'

curl https://apigw.mka1.com/api/v1/llm/responses \
  --request POST \
  --header 'Content-Type: application/json' \
  --header 'Authorization: Bearer <mka1-api-key>' \
  --header 'X-On-Behalf-Of: <end-user-id>' \
  --data '{
    "model": "auto",
    "input": "Write a one-sentence summary of the MKA1 API."
  }'