import requests

url = "https://platform.reducto.ai/parse_async"

payload = {
    "input": "<string>",
    "async": { "priority": False },
    "enhance": {
        "agentic": [],
        "summarize_figures": True,
        "intelligent_ordering": False
    },
    "retrieval": {
        "chunking": {
            "chunk_mode": "disabled",
            "chunk_overlap": 0
        },
        "filter_blocks": [],
        "embedding_optimized": False
    },
    "formatting": {
        "add_page_markers": False,
        "table_output_format": "dynamic",
        "merge_tables": False,
        "include": []
    },
    "spreadsheet": {
        "split_large_tables": {
            "enabled": True,
            "size": 50
        },
        "include": [],
        "clustering": "accurate",
        "exclude": []
    },
    "settings": {
        "ocr_system": "standard",
        "extraction_mode": "hybrid",
        "force_url_result": False,
        "return_ocr_data": False,
        "return_images": [],
        "embed_pdf_metadata": False,
        "embed_pdf_metadata_dpi": 100,
        "persist_results": False,
        "hybrid_vpc": {}
    },
    "queue_priority": "auto"
}
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({
    input: '<string>',
    async: {priority: false},
    enhance: {agentic: [], summarize_figures: true, intelligent_ordering: false},
    retrieval: {
      chunking: {chunk_mode: 'disabled', chunk_overlap: 0},
      filter_blocks: [],
      embedding_optimized: false
    },
    formatting: {
      add_page_markers: false,
      table_output_format: 'dynamic',
      merge_tables: false,
      include: []
    },
    spreadsheet: {
      split_large_tables: {enabled: true, size: 50},
      include: [],
      clustering: 'accurate',
      exclude: []
    },
    settings: {
      ocr_system: 'standard',
      extraction_mode: 'hybrid',
      force_url_result: false,
      return_ocr_data: false,
      return_images: [],
      embed_pdf_metadata: false,
      embed_pdf_metadata_dpi: 100,
      persist_results: false,
      hybrid_vpc: {}
    },
    queue_priority: 'auto'
  })
};

fetch('https://platform.reducto.ai/parse_async', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

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

func main() {

	url := "https://platform.reducto.ai/parse_async"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"async\": {\n    \"priority\": false\n  },\n  \"enhance\": {\n    \"agentic\": [],\n    \"summarize_figures\": true,\n    \"intelligent_ordering\": false\n  },\n  \"retrieval\": {\n    \"chunking\": {\n      \"chunk_mode\": \"disabled\",\n      \"chunk_overlap\": 0\n    },\n    \"filter_blocks\": [],\n    \"embedding_optimized\": false\n  },\n  \"formatting\": {\n    \"add_page_markers\": false,\n    \"table_output_format\": \"dynamic\",\n    \"merge_tables\": false,\n    \"include\": []\n  },\n  \"spreadsheet\": {\n    \"split_large_tables\": {\n      \"enabled\": true,\n      \"size\": 50\n    },\n    \"include\": [],\n    \"clustering\": \"accurate\",\n    \"exclude\": []\n  },\n  \"settings\": {\n    \"ocr_system\": \"standard\",\n    \"extraction_mode\": \"hybrid\",\n    \"force_url_result\": false,\n    \"return_ocr_data\": false,\n    \"return_images\": [],\n    \"embed_pdf_metadata\": false,\n    \"embed_pdf_metadata_dpi\": 100,\n    \"persist_results\": false,\n    \"hybrid_vpc\": {}\n  },\n  \"queue_priority\": \"auto\"\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))

}

{
  "job_id": "<string>"
}

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