Pular para o conteúdo principal
GET
/
api
/
v1
/
llm
/
embeddings
/
models
Python (SDK)
from mka1 import SDK


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

    res = sdk.llm.embeddings.list_models()

    # Handle response
    print(res)
{
  "object": "list",
  "data": [
    {
      "id": "meetkai:embedding",
      "provider": "meetkai",
      "model": "embedding",
      "limits": {
        "max_batch_size": 1000,
        "max_input_tokens": 32768,
        "max_input_length": 65536
      }
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.mka1.com/llms.txt

Use this file to discover all available pages before exploring further.

Autorizações

Authorization
string
header
obrigatório

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Cabeçalhos

X-On-Behalf-Of
string

Optional external end-user identifier forwarded by the API gateway.

Resposta

200 - application/json

OK

Resposta contendo modelos de incorporação disponíveis e seus limites

data
object[]
obrigatório

Lista de modelos de embedding disponíveis com seus limites

object
any
padrão:list