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
}
}
]
}Returns a list of available embedding models with their limits. Use this endpoint to discover which models are available and their constraints (batch size, input length) before making embedding requests.
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
}
}
]
}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.
Optional external user identifier for multi-user server-side integrations. Use this when acting on behalf of one of your end users.
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