Obter uso de armazéns de vetores

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

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

async function run() {
  const result = await sdk.llm.usage.vectorStores({
    startTime: 1704067200,
    endTime: 1704153600,
    limit: 30,
    page: "cursor_abc123",
    userIds: [
      "user_123",
      "user_456",
    ],
    externalUserIds: [
      "sub_123",
    ],
    orgIds: [
      "org_123",
    ],
    groupBy: [
      "user_id",
    ],
  });

  console.log(result);
}

run();

package main

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

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

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

    res, err := s.Llm.Usage.VectorStores(ctx, operations.GetVectorStoresUsageRequest{
        StartTime: 1704067200,
        EndTime: mka1.Pointer[int64](1704153600),
        Limit: mka1.Pointer[int64](30),
        Page: mka1.Pointer("cursor_abc123"),
        UserIds: []string{
            "user_123",
            "user_456",
        },
        ExternalUserIds: []string{
            "sub_123",
        },
        OrgIds: []string{
            "org_123",
        },
        GroupBy: []components.VectorStoresGroupBy{
            components.VectorStoresGroupByUserID,
        },
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Object != nil {
        // handle response
    }
}

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using MeetKai.MKA1.Types.Requests;
using System.Collections.Generic;

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

GetVectorStoresUsageRequest req = new GetVectorStoresUsageRequest() {
    StartTime = 1704067200,
    EndTime = 1704153600,
    Limit = 30,
    Page = "cursor_abc123",
    UserIds = new List<string>() {
        "user_123",
        "user_456",
    },
    ExternalUserIds = new List<string>() {
        "sub_123",
    },
    OrgIds = new List<string>() {
        "org_123",
    },
    GroupBy = new List<VectorStoresGroupBy>() {
        VectorStoresGroupBy.UserId,
    },
};

var res = await sdk.Llm.Usage.VectorStoresAsync(req);

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.llm.usage.vector_stores(start_time=1704067200, end_time=1704153600, bucket_width="1d", limit=30, page="cursor_abc123", user_ids=[
        "user_123",
        "user_456",
    ], external_user_ids=[
        "sub_123",
    ], org_ids=[
        "org_123",
    ], group_by=[
        "user_id",
    ])

    # Handle response
    print(res)

curl --request GET \
  --url https://apigw.mka1.com/api/v1/llm/usage/vector_stores \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://apigw.mka1.com/api/v1/llm/usage/vector_stores', 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/usage/vector_stores",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

HttpResponse<String> response = Unirest.get("https://apigw.mka1.com/api/v1/llm/usage/vector_stores")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "object": "page",
  "data": [
    {
      "object": "bucket",
      "start_time": 1704067200,
      "end_time": 1704153600,
      "results": [
        {
          "object": "organization.usage.vector_stores.result",
          "usage_bytes": 1024000,
          "project_id": null,
          "user_id": "user_123",
          "api_key_id": "key_abc123"
        }
      ]
    }
  ],
  "has_more": false,
  "next_page": null
}