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GET
/
api
/
v1
/
llm
/
embeddings
/
models
Typescript (SDK)
import { SDK } from "@meetkai/mka1";

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

async function run() {
  const result = await sdk.llm.embeddings.listModels({});

  console.log(result);
}

run();
{
  "object": "list",
  "data": [
    {
      "id": "meetkai:qwen3-embedding-8b",
      "provider": "meetkai",
      "model": "qwen3-embedding-8b",
      "limits": {
        "max_batch_size": 1000,
        "max_input_tokens": 32768,
        "max_input_length": 65536
      }
    }
  ]
}

Authorizations

Authorization
string
header
required

Authenticate with your MKA1 API key at the API gateway: Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, also send X-On-Behalf-Of to identify the end user making the request.

Headers

X-On-Behalf-Of
string

Optional external user identifier for multi-user server-side integrations. Use this when acting on behalf of one of your end users.

Response

200 - application/json

OK

Response containing available embedding models and their limits

data
object[]
required

List of available embedding models with their limits

object
any
default:list