curl --request POST \
  --url https://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "document_id": "<string>",
  "document_classes": [
    {
      "name": "<string>",
      "library_id": "<string>",
      "document_class_id": "<string>",
      "instruction": "<string>"
    }
  ],
  "llm_model_prefix": "gemini-2.5-pro",
  "instruction": "<string>",
  "batch_size": 50,
  "maximal_batch_overlap": 10,
  "pubsub_topic": "<string>"
}
'

import requests

url = "https://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan"

payload = {
    "document_id": "<string>",
    "document_classes": [
        {
            "name": "<string>",
            "library_id": "<string>",
            "document_class_id": "<string>",
            "instruction": "<string>"
        }
    ],
    "llm_model_prefix": "gemini-2.5-pro",
    "instruction": "<string>",
    "batch_size": 50,
    "maximal_batch_overlap": 10,
    "pubsub_topic": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    document_id: '<string>',
    document_classes: [
      {
        name: '<string>',
        library_id: '<string>',
        document_class_id: '<string>',
        instruction: '<string>'
      }
    ],
    llm_model_prefix: 'gemini-2.5-pro',
    instruction: '<string>',
    batch_size: 50,
    maximal_batch_overlap: 10,
    pubsub_topic: '<string>'
  })
};

fetch('https://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan', 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://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan",
  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([
    'document_id' => '<string>',
    'document_classes' => [
        [
                'name' => '<string>',
                'library_id' => '<string>',
                'document_class_id' => '<string>',
                'instruction' => '<string>'
        ]
    ],
    'llm_model_prefix' => 'gemini-2.5-pro',
    'instruction' => '<string>',
    'batch_size' => 50,
    'maximal_batch_overlap' => 10,
    'pubsub_topic' => '<string>'
  ]),
  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://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan"

	payload := strings.NewReader("{\n  \"document_id\": \"<string>\",\n  \"document_classes\": [\n    {\n      \"name\": \"<string>\",\n      \"library_id\": \"<string>\",\n      \"document_class_id\": \"<string>\",\n      \"instruction\": \"<string>\"\n    }\n  ],\n  \"llm_model_prefix\": \"gemini-2.5-pro\",\n  \"instruction\": \"<string>\",\n  \"batch_size\": 50,\n  \"maximal_batch_overlap\": 10,\n  \"pubsub_topic\": \"<string>\"\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://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"document_id\": \"<string>\",\n  \"document_classes\": [\n    {\n      \"name\": \"<string>\",\n      \"library_id\": \"<string>\",\n      \"document_class_id\": \"<string>\",\n      \"instruction\": \"<string>\"\n    }\n  ],\n  \"llm_model_prefix\": \"gemini-2.5-pro\",\n  \"instruction\": \"<string>\",\n  \"batch_size\": 50,\n  \"maximal_batch_overlap\": 10,\n  \"pubsub_topic\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://document-assistant.us.aodocs.app/assistant/api/v1/tenants/{tenant}/document_split:plan")

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  \"document_id\": \"<string>\",\n  \"document_classes\": [\n    {\n      \"name\": \"<string>\",\n      \"library_id\": \"<string>\",\n      \"document_class_id\": \"<string>\",\n      \"instruction\": \"<string>\"\n    }\n  ],\n  \"llm_model_prefix\": \"gemini-2.5-pro\",\n  \"instruction\": \"<string>\",\n  \"batch_size\": 50,\n  \"maximal_batch_overlap\": 10,\n  \"pubsub_topic\": \"<string>\"\n}"

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

{
  "source_document_id": "<string>",
  "document_splits": [
    {
      "library_id": "<string>",
      "document_class_id": "<string>",
      "page_ranges": [
        {
          "start": 2,
          "end": 2
        }
      ],
      "document_class_name": "<string>",
      "confidence": "low",
      "reasoning": "<string>"
    }
  ],
  "status": "in_progress",
  "job_id": "<string>",
  "total_pages": 123,
  "pages_processed": 123,
  "error_message": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}