Criar um conector de armazenamento vetorial

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

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

var res = await sdk.Llm.VectorStores.Connectors.CreateAsync(body: CreateVectorStoreConnectorRequestBody.CreateS3(
    new VectorStoreConnectorCreateS3() {
        Location = new VectorStoreConnectorS3Location() {
            Bucket = "<value>",
            Region = "<value>",
        },
        Credentials = new VectorStoreConnectorS3Credentials() {
            AccessKeyId = "<id>",
            SecretAccessKey = "<value>",
        },
        Name = "<value>",
    }
));

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.llm.vector_stores.connectors.create(body={
        "type": "s3",
        "location": {
            "bucket": "<value>",
            "prefix": "",
            "region": "<value>",
        },
        "credentials": {
            "access_key_id": "<id>",
            "secret_access_key": "<value>",
        },
        "name": "<value>",
        "auto_sync": True,
    })

    # Handle response
    print(res)

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

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

async function run() {
  const result = await sdk.llm.vectorStores.connectors.create({
    requestBody: {
      type: "s3",
      location: {
        bucket: "<value>",
        prefix: "",
        region: "<value>",
      },
      credentials: {
        accessKeyId: "<id>",
        secretAccessKey: "<value>",
      },
      name: "<value>",
      autoSync: true,
    },
  });

  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.VectorStores.Connectors.Create(ctx, operations.CreateCreateVectorStoreConnectorRequestBodyS3(
        components.VectorStoreConnectorCreateS3{
            Location: components.VectorStoreConnectorS3Location{
                Bucket: "<value>",
                Region: "<value>",
            },
            Credentials: components.VectorStoreConnectorS3Credentials{
                AccessKeyID: "<id>",
                SecretAccessKey: "<value>",
            },
            Name: "<value>",
        },
    ), nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.VectorStoreConnector != nil {
        switch res.VectorStoreConnector.Location.Type {
            case components.LocationTypeVectorStoreConnectorS3Location:
                // res.VectorStoreConnector.Location.VectorStoreConnectorS3Location is populated
            case components.LocationTypeVectorStoreConnectorSharePointLocation:
                // res.VectorStoreConnector.Location.VectorStoreConnectorSharePointLocation is populated
            default:
                // Unknown type - use res.VectorStoreConnector.Location.GetUnknownRaw() for raw JSON
        }

    }
}

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/vector_stores/connectors \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "type": "s3",
  "location": {
    "bucket": "<string>",
    "region": "<string>",
    "prefix": "",
    "endpoint": "<string>"
  },
  "credentials": {
    "access_key_id": "<string>",
    "secret_access_key": "<string>"
  },
  "name": "<string>",
  "include_patterns": [],
  "exclude_patterns": [],
  "chunking_strategy": {
    "type": "auto"
  },
  "auto_sync": true,
  "sync_interval_minutes": 5047,
  "vector_store_ids": []
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    type: 's3',
    location: {bucket: '<string>', region: '<string>', prefix: '', endpoint: '<string>'},
    credentials: {access_key_id: '<string>', secret_access_key: '<string>'},
    name: '<string>',
    include_patterns: [],
    exclude_patterns: [],
    chunking_strategy: {type: 'auto'},
    auto_sync: true,
    sync_interval_minutes: 5047,
    vector_store_ids: []
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/vector_stores/connectors', 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/vector_stores/connectors",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'type' => 's3',
    'location' => [
        'bucket' => '<string>',
        'region' => '<string>',
        'prefix' => '',
        'endpoint' => '<string>'
    ],
    'credentials' => [
        'access_key_id' => '<string>',
        'secret_access_key' => '<string>'
    ],
    'name' => '<string>',
    'include_patterns' => [
        
    ],
    'exclude_patterns' => [
        
    ],
    'chunking_strategy' => [
        'type' => 'auto'
    ],
    'auto_sync' => true,
    'sync_interval_minutes' => 5047,
    'vector_store_ids' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/vector_stores/connectors")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"type\": \"s3\",\n  \"location\": {\n    \"bucket\": \"<string>\",\n    \"region\": \"<string>\",\n    \"prefix\": \"\",\n    \"endpoint\": \"<string>\"\n  },\n  \"credentials\": {\n    \"access_key_id\": \"<string>\",\n    \"secret_access_key\": \"<string>\"\n  },\n  \"name\": \"<string>\",\n  \"include_patterns\": [],\n  \"exclude_patterns\": [],\n  \"chunking_strategy\": {\n    \"type\": \"auto\"\n  },\n  \"auto_sync\": true,\n  \"sync_interval_minutes\": 5047,\n  \"vector_store_ids\": []\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"type\": \"s3\",\n  \"location\": {\n    \"bucket\": \"<string>\",\n    \"region\": \"<string>\",\n    \"prefix\": \"\",\n    \"endpoint\": \"<string>\"\n  },\n  \"credentials\": {\n    \"access_key_id\": \"<string>\",\n    \"secret_access_key\": \"<string>\"\n  },\n  \"name\": \"<string>\",\n  \"include_patterns\": [],\n  \"exclude_patterns\": [],\n  \"chunking_strategy\": {\n    \"type\": \"auto\"\n  },\n  \"auto_sync\": true,\n  \"sync_interval_minutes\": 5047,\n  \"vector_store_ids\": []\n}"

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

{
  "id": "<string>",
  "object": "vector_store.connector",
  "type": "s3",
  "name": "<string>",
  "location": {
    "bucket": "<string>",
    "region": "<string>",
    "prefix": "",
    "endpoint": "<string>"
  },
  "credentials_configured": true,
  "api_key_id": "<string>",
  "include_patterns": [
    "<string>"
  ],
  "exclude_patterns": [
    "<string>"
  ],
  "chunking_strategy": {
    "type": "auto"
  },
  "auto_sync": true,
  "sync_interval_minutes": 0,
  "next_sync_at": 0,
  "status": "idle",
  "last_error": "<string>",
  "last_run": {
    "id": "<string>",
    "object": "vector_store.connector.run",
    "status": "running",
    "trigger": "schedule",
    "started_at": 0,
    "finished_at": 0,
    "added": 0,
    "updated": 0,
    "removed": 0,
    "restored": 0,
    "skipped": 0,
    "failed": 0,
    "error": "<string>"
  },
  "vector_store_ids": [
    "<string>"
  ],
  "created_at": 0,
  "updated_at": 0
}