curl --request POST \
  --url https://flowra.dev/api/v1/ai/llm/chat \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "messages": [
    {
      "role": "user",
      "content": "What is Flowra?"
    }
  ],
  "model": "openai/gpt-4o-mini",
  "temperature": 0.7,
  "maxTokens": 1024,
  "systemPrompt": "Answer in one sentence."
}
'

import requests

url = "https://flowra.dev/api/v1/ai/llm/chat"

payload = {
    "messages": [
        {
            "role": "user",
            "content": "What is Flowra?"
        }
    ],
    "model": "openai/gpt-4o-mini",
    "temperature": 0.7,
    "maxTokens": 1024,
    "systemPrompt": "Answer in one sentence."
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    messages: [{role: 'user', content: 'What is Flowra?'}],
    model: 'openai/gpt-4o-mini',
    temperature: 0.7,
    maxTokens: 1024,
    systemPrompt: 'Answer in one sentence.'
  })
};

fetch('https://flowra.dev/api/v1/ai/llm/chat', 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://flowra.dev/api/v1/ai/llm/chat",
  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([
    'messages' => [
        [
                'role' => 'user',
                'content' => 'What is Flowra?'
        ]
    ],
    'model' => 'openai/gpt-4o-mini',
    'temperature' => 0.7,
    'maxTokens' => 1024,
    'systemPrompt' => 'Answer in one sentence.'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://flowra.dev/api/v1/ai/llm/chat"

	payload := strings.NewReader("{\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is Flowra?\"\n    }\n  ],\n  \"model\": \"openai/gpt-4o-mini\",\n  \"temperature\": 0.7,\n  \"maxTokens\": 1024,\n  \"systemPrompt\": \"Answer in one sentence.\"\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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://flowra.dev/api/v1/ai/llm/chat")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is Flowra?\"\n    }\n  ],\n  \"model\": \"openai/gpt-4o-mini\",\n  \"temperature\": 0.7,\n  \"maxTokens\": 1024,\n  \"systemPrompt\": \"Answer in one sentence.\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://flowra.dev/api/v1/ai/llm/chat")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is Flowra?\"\n    }\n  ],\n  \"model\": \"openai/gpt-4o-mini\",\n  \"temperature\": 0.7,\n  \"maxTokens\": 1024,\n  \"systemPrompt\": \"Answer in one sentence.\"\n}"

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

{
  "success": true,
  "message": "Operation completed successfully",
  "data": ""
}