curl --request POST \
  --url https://app.maadify.com/api/prompt_templates/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "filters": [
    {
      "column": "provider",
      "operator": "equals",
      "value": "openai"
    }
  ],
  "limit": 100,
  "offset": 0,
  "search_value": "gpt",
  "sort": {
    "column": "model_name",
    "desc": false
  }
}
'

import requests

url = "https://app.maadify.com/api/prompt_templates/search"

payload = {
    "filters": [
        {
            "column": "provider",
            "operator": "equals",
            "value": "openai"
        }
    ],
    "limit": 100,
    "offset": 0,
    "search_value": "gpt",
    "sort": {
        "column": "model_name",
        "desc": False
    }
}
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({
    filters: [{column: 'provider', operator: 'equals', value: 'openai'}],
    limit: 100,
    offset: 0,
    search_value: 'gpt',
    sort: {column: 'model_name', desc: false}
  })
};

fetch('https://app.maadify.com/api/prompt_templates/search', 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://app.maadify.com/api/prompt_templates/search",
  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([
    'filters' => [
        [
                'column' => 'provider',
                'operator' => 'equals',
                'value' => 'openai'
        ]
    ],
    'limit' => 100,
    'offset' => 0,
    'search_value' => 'gpt',
    'sort' => [
        'column' => 'model_name',
        'desc' => false
    ]
  ]),
  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://app.maadify.com/api/prompt_templates/search"

	payload := strings.NewReader("{\n  \"filters\": [\n    {\n      \"column\": \"provider\",\n      \"operator\": \"equals\",\n      \"value\": \"openai\"\n    }\n  ],\n  \"limit\": 100,\n  \"offset\": 0,\n  \"search_value\": \"gpt\",\n  \"sort\": {\n    \"column\": \"model_name\",\n    \"desc\": false\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://app.maadify.com/api/prompt_templates/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"filters\": [\n    {\n      \"column\": \"provider\",\n      \"operator\": \"equals\",\n      \"value\": \"openai\"\n    }\n  ],\n  \"limit\": 100,\n  \"offset\": 0,\n  \"search_value\": \"gpt\",\n  \"sort\": {\n    \"column\": \"model_name\",\n    \"desc\": false\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.maadify.com/api/prompt_templates/search")

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  \"filters\": [\n    {\n      \"column\": \"provider\",\n      \"operator\": \"equals\",\n      \"value\": \"openai\"\n    }\n  ],\n  \"limit\": 100,\n  \"offset\": 0,\n  \"search_value\": \"gpt\",\n  \"sort\": {\n    \"column\": \"model_name\",\n    \"desc\": false\n  }\n}"

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

{
  "success": true,
  "data": {
    "items": [
      {
        "id": "<string>",
        "tenant_id": "<string>",
        "name": "<string>",
        "version": "<string>",
        "is_active": true,
        "content": "<string>",
        "metadata": {},
        "latest_version": true,
        "created_at": "<string>",
        "updated_at": "<string>"
      }
    ],
    "count": 123
  },
  "error_type": "<string>",
  "error_message": "<string>"
}

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