from meetkai_mka1 import SDK


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

    res = sdk.llm.extract.create_schema(name="Invoice Extraction", schema={
        "type": "object",
        "properties": {
            "invoice_number": {
                "type": "string",
            },
            "vendor_name": {
                "type": "string",
            },
            "total_amount": {
                "type": "number",
            },
            "date": {
                "type": "string",
                "format": "date",
            },
        },
        "required": [
            "invoice_number",
            "total_amount",
        ],
    }, description="Schema for extracting invoice data from PDF documents", metadata={
        "document_type": "invoice",
    })

    # 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.extract.createSchema({
    extractionSchema: {
      name: "Invoice Extraction",
      description: "Schema for extracting invoice data from PDF documents",
      schema: {
        "type": "object",
        "properties": {
          "invoice_number": {
            "type": "string",
          },
          "vendor_name": {
            "type": "string",
          },
          "total_amount": {
            "type": "number",
          },
          "date": {
            "type": "string",
            "format": "date",
          },
        },
        "required": [
          "invoice_number",
          "total_amount",
        ],
      },
      metadata: {
        "document_type": "invoice",
      },
    },
  });

  console.log(result);
}

run();

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

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

var res = await sdk.Llm.Extract.CreateSchemaAsync(body: new ExtractionSchema() {
    Name = "Invoice Extraction",
    Description = "Schema for extracting invoice data from PDF documents",
    Schema = new Dictionary<string, object>() {
        { "type", "object" },
        { "properties", new Dictionary<string, object>() {
            { "invoice_number", new Dictionary<string, object>() {
                { "type", "string" },
            } },
            { "vendor_name", new Dictionary<string, object>() {
                { "type", "string" },
            } },
            { "total_amount", new Dictionary<string, object>() {
                { "type", "number" },
            } },
            { "date", new Dictionary<string, object>() {
                { "type", "string" },
                { "format", "date" },
            } },
        } },
        { "required", new List<object>() {
            "invoice_number",
            "total_amount",
        } },
    },
    Metadata = new Dictionary<string, object>() {
        { "document_type", "invoice" },
    },
});

// handle response

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/extract/schema \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Invoice Extraction",
  "description": "Schema for extracting invoice data from PDF documents",
  "schema": {
    "type": "object",
    "properties": {
      "invoice_number": {
        "type": "string"
      },
      "vendor_name": {
        "type": "string"
      },
      "total_amount": {
        "type": "number"
      },
      "date": {
        "type": "string",
        "format": "date"
      }
    },
    "required": [
      "invoice_number",
      "total_amount"
    ]
  },
  "metadata": {
    "document_type": "invoice"
  }
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Invoice Extraction',
    description: 'Schema for extracting invoice data from PDF documents',
    schema: {
      type: 'object',
      properties: {
        invoice_number: {type: 'string'},
        vendor_name: {type: 'string'},
        total_amount: {type: 'number'},
        date: {type: 'string', format: 'date'}
      },
      required: ['invoice_number', 'total_amount']
    },
    metadata: {document_type: 'invoice'}
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/extract/schema', 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/extract/schema",
  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([
    'name' => 'Invoice Extraction',
    'description' => 'Schema for extracting invoice data from PDF documents',
    'schema' => [
        'type' => 'object',
        'properties' => [
                'invoice_number' => [
                                'type' => 'string'
                ],
                'vendor_name' => [
                                'type' => 'string'
                ],
                'total_amount' => [
                                'type' => 'number'
                ],
                'date' => [
                                'type' => 'string',
                                'format' => 'date'
                ]
        ],
        'required' => [
                'invoice_number',
                'total_amount'
        ]
    ],
    'metadata' => [
        'document_type' => 'invoice'
    ]
  ]),
  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;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://apigw.mka1.com/api/v1/llm/extract/schema"

	payload := strings.NewReader("{\n  \"name\": \"Invoice Extraction\",\n  \"description\": \"Schema for extracting invoice data from PDF documents\",\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"invoice_number\": {\n        \"type\": \"string\"\n      },\n      \"vendor_name\": {\n        \"type\": \"string\"\n      },\n      \"total_amount\": {\n        \"type\": \"number\"\n      },\n      \"date\": {\n        \"type\": \"string\",\n        \"format\": \"date\"\n      }\n    },\n    \"required\": [\n      \"invoice_number\",\n      \"total_amount\"\n    ]\n  },\n  \"metadata\": {\n    \"document_type\": \"invoice\"\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/extract/schema")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Invoice Extraction\",\n  \"description\": \"Schema for extracting invoice data from PDF documents\",\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"invoice_number\": {\n        \"type\": \"string\"\n      },\n      \"vendor_name\": {\n        \"type\": \"string\"\n      },\n      \"total_amount\": {\n        \"type\": \"number\"\n      },\n      \"date\": {\n        \"type\": \"string\",\n        \"format\": \"date\"\n      }\n    },\n    \"required\": [\n      \"invoice_number\",\n      \"total_amount\"\n    ]\n  },\n  \"metadata\": {\n    \"document_type\": \"invoice\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"name\": \"Invoice Extraction\",\n  \"description\": \"Schema for extracting invoice data from PDF documents\",\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"invoice_number\": {\n        \"type\": \"string\"\n      },\n      \"vendor_name\": {\n        \"type\": \"string\"\n      },\n      \"total_amount\": {\n        \"type\": \"number\"\n      },\n      \"date\": {\n        \"type\": \"string\",\n        \"format\": \"date\"\n      }\n    },\n    \"required\": [\n      \"invoice_number\",\n      \"total_amount\"\n    ]\n  },\n  \"metadata\": {\n    \"document_type\": \"invoice\"\n  }\n}"

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

{
  "success": true,
  "data": {
    "id": "schema_invoice_123",
    "name": "Invoice Extraction",
    "description": "Schema for extracting invoice data from PDF documents",
    "schema": {
      "type": "object",
      "properties": {
        "invoice_number": {
          "type": "string"
        },
        "vendor_name": {
          "type": "string"
        },
        "total_amount": {
          "type": "number"
        },
        "date": {
          "type": "string",
          "format": "date"
        }
      },
      "required": [
        "invoice_number",
        "total_amount"
      ]
    },
    "metadata": {
      "document_type": "invoice"
    },
    "createdAt": "2024-01-15T10:30:00Z",
    "updatedAt": "2024-01-15T10:30:00Z"
  }
}