curl --request POST \
  --url https://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "{{user_input}}",
  "assistant_files": "{{assistant_files}}",
  "max_documents_count": "10",
  "score_cutoff": "0.2",
  "output_variable_name": "knowledge_base_results"
}
'

import requests

url = "https://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files"

payload = {
    "query": "{{user_input}}",
    "assistant_files": "{{assistant_files}}",
    "max_documents_count": "10",
    "score_cutoff": "0.2",
    "output_variable_name": "knowledge_base_results"
}
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({
    query: '{{user_input}}',
    assistant_files: '{{assistant_files}}',
    max_documents_count: '10',
    score_cutoff: '0.2',
    output_variable_name: 'knowledge_base_results'
  })
};

fetch('https://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files', 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://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files",
  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([
    'query' => '{{user_input}}',
    'assistant_files' => '{{assistant_files}}',
    'max_documents_count' => '10',
    'score_cutoff' => '0.2',
    'output_variable_name' => 'knowledge_base_results'
  ]),
  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://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files"

	payload := strings.NewReader("{\n  \"query\": \"{{user_input}}\",\n  \"assistant_files\": \"{{assistant_files}}\",\n  \"max_documents_count\": \"10\",\n  \"score_cutoff\": \"0.2\",\n  \"output_variable_name\": \"knowledge_base_results\"\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://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"{{user_input}}\",\n  \"assistant_files\": \"{{assistant_files}}\",\n  \"max_documents_count\": \"10\",\n  \"score_cutoff\": \"0.2\",\n  \"output_variable_name\": \"knowledge_base_results\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api-lr.agent.ai/v1/action/get_data_from_user_uploaded_files")

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  \"query\": \"{{user_input}}\",\n  \"assistant_files\": \"{{assistant_files}}\",\n  \"max_documents_count\": \"10\",\n  \"score_cutoff\": \"0.2\",\n  \"output_variable_name\": \"knowledge_base_results\"\n}"

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

{
  "status": 123,
  "response": {}
}

{
  "status": 123,
  "response": {}
}

{
  "status": 123,
  "response": {}
}

{
  "status": 123,
  "response": {}
}