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Flatlogic Bot 2026-03-10 05:44:58 +00:00
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commit 5bb874b992
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<?php
// LocalAIApi — proxy client for the Responses API.
// Usage (async: auto-polls status until ready):
// require_once __DIR__ . '/ai/LocalAIApi.php';
// $response = LocalAIApi::createResponse([
// 'input' => [
// ['role' => 'system', 'content' => 'You are a helpful assistant.'],
// ['role' => 'user', 'content' => 'Tell me a bedtime story.'],
// ],
// ]);
// if (!empty($response['success'])) {
// // response['data'] contains full payload, e.g.:
// // {
// // "id": "resp_xxx",
// // "status": "completed",
// // "output": [
// // {"type": "reasoning", "summary": []},
// // {"type": "message", "content": [{"type": "output_text", "text": "Your final answer here."}]}
// // ]
// // }
// $decoded = LocalAIApi::decodeJsonFromResponse($response); // or inspect $response['data'] / extractText(...)
// }
// Poll settings override:
// LocalAIApi::createResponse($payload, ['poll_interval' => 5, 'poll_timeout' => 300]);
class LocalAIApi
{
/** @var array<string,mixed>|null */
private static ?array $configCache = null;
/**
* Signature compatible with the OpenAI Responses API.
*
* @param array<string,mixed> $params Request body (model, input, text, reasoning, metadata, etc.).
* @param array<string,mixed> $options Extra options (timeout, verify_tls, headers, path, project_uuid).
* @return array{
* success:bool,
* status?:int,
* data?:mixed,
* error?:string,
* response?:mixed,
* message?:string
* }
*/
public static function createResponse(array $params, array $options = []): array
{
$cfg = self::config();
$payload = $params;
if (empty($payload['input']) || !is_array($payload['input'])) {
return [
'success' => false,
'error' => 'input_missing',
'message' => 'Parameter "input" is required and must be an array.',
];
}
if (!isset($payload['model']) || $payload['model'] === '') {
$payload['model'] = $cfg['default_model'];
}
$initial = self::request($options['path'] ?? null, $payload, $options);
if (empty($initial['success'])) {
return $initial;
}
// Async flow: if backend returns ai_request_id, poll status until ready
$data = $initial['data'] ?? null;
if (is_array($data) && isset($data['ai_request_id'])) {
$aiRequestId = $data['ai_request_id'];
$pollTimeout = isset($options['poll_timeout']) ? (int) $options['poll_timeout'] : 300; // seconds
$pollInterval = isset($options['poll_interval']) ? (int) $options['poll_interval'] : 5; // seconds
return self::awaitResponse($aiRequestId, [
'timeout' => $pollTimeout,
'interval' => $pollInterval,
'headers' => $options['headers'] ?? [],
'timeout_per_call' => $options['timeout'] ?? null,
]);
}
return $initial;
}
/**
* Snake_case alias for createResponse (matches the provided example).
*
* @param array<string,mixed> $params
* @param array<string,mixed> $options
* @return array<string,mixed>
*/
public static function create_response(array $params, array $options = []): array
{
return self::createResponse($params, $options);
}
/**
* Perform a raw request to the AI proxy.
*
* @param string $path Endpoint (may be an absolute URL).
* @param array<string,mixed> $payload JSON payload.
* @param array<string,mixed> $options Additional request options.
* @return array<string,mixed>
*/
public static function request(?string $path = null, array $payload = [], array $options = []): array
{
$cfg = self::config();
$projectUuid = $cfg['project_uuid'];
if (empty($projectUuid)) {
return [
'success' => false,
'error' => 'project_uuid_missing',
'message' => 'PROJECT_UUID is not defined; aborting AI request.',
];
}
$defaultPath = $cfg['responses_path'] ?? null;
$resolvedPath = $path ?? ($options['path'] ?? $defaultPath);
if (empty($resolvedPath)) {
return [
'success' => false,
'error' => 'project_id_missing',
'message' => 'PROJECT_ID is not defined; cannot resolve AI proxy endpoint.',
];
}
$url = self::buildUrl($resolvedPath, $cfg['base_url']);
$baseTimeout = isset($cfg['timeout']) ? (int) $cfg['timeout'] : 30;
$timeout = isset($options['timeout']) ? (int) $options['timeout'] : $baseTimeout;
if ($timeout <= 0) {
$timeout = 30;
}
$baseVerifyTls = array_key_exists('verify_tls', $cfg) ? (bool) $cfg['verify_tls'] : true;
$verifyTls = array_key_exists('verify_tls', $options)
? (bool) $options['verify_tls']
: $baseVerifyTls;
$projectHeader = $cfg['project_header'];
$headers = [
'Content-Type: application/json',
'Accept: application/json',
];
$headers[] = $projectHeader . ': ' . $projectUuid;
if (!empty($options['headers']) && is_array($options['headers'])) {
foreach ($options['headers'] as $header) {
if (is_string($header) && $header !== '') {
$headers[] = $header;
}
}
}
if (!empty($projectUuid) && !array_key_exists('project_uuid', $payload)) {
$payload['project_uuid'] = $projectUuid;
}
$body = json_encode($payload, JSON_UNESCAPED_UNICODE);
if ($body === false) {
return [
'success' => false,
'error' => 'json_encode_failed',
'message' => 'Failed to encode request body to JSON.',
];
}
return self::sendCurl($url, 'POST', $body, $headers, $timeout, $verifyTls);
}
/**
* Poll AI request status until ready or timeout.
*
* @param int|string $aiRequestId
* @param array<string,mixed> $options
* @return array<string,mixed>
*/
public static function awaitResponse($aiRequestId, array $options = []): array
{
$cfg = self::config();
$timeout = isset($options['timeout']) ? (int) $options['timeout'] : 300; // seconds
$interval = isset($options['interval']) ? (int) $options['interval'] : 5; // seconds
if ($interval <= 0) {
$interval = 5;
}
$perCallTimeout = isset($options['timeout_per_call']) ? (int) $options['timeout_per_call'] : null;
$deadline = time() + max($timeout, $interval);
$headers = $options['headers'] ?? [];
while (true) {
$statusResp = self::fetchStatus($aiRequestId, [
'headers' => $headers,
'timeout' => $perCallTimeout,
]);
if (!empty($statusResp['success'])) {
$data = $statusResp['data'] ?? [];
if (is_array($data)) {
$statusValue = $data['status'] ?? null;
if ($statusValue === 'success') {
return [
'success' => true,
'status' => 200,
'data' => $data['response'] ?? $data,
];
}
if ($statusValue === 'failed') {
return [
'success' => false,
'status' => 500,
'error' => isset($data['error']) ? (string)$data['error'] : 'AI request failed',
'data' => $data,
];
}
}
} else {
return $statusResp;
}
if (time() >= $deadline) {
return [
'success' => false,
'error' => 'timeout',
'message' => 'Timed out waiting for AI response.',
];
}
sleep($interval);
}
}
/**
* Fetch status for queued AI request.
*
* @param int|string $aiRequestId
* @param array<string,mixed> $options
* @return array<string,mixed>
*/
public static function fetchStatus($aiRequestId, array $options = []): array
{
$cfg = self::config();
$projectUuid = $cfg['project_uuid'];
if (empty($projectUuid)) {
return [
'success' => false,
'error' => 'project_uuid_missing',
'message' => 'PROJECT_UUID is not defined; aborting status check.',
];
}
$statusPath = self::resolveStatusPath($aiRequestId, $cfg);
$url = self::buildUrl($statusPath, $cfg['base_url']);
$baseTimeout = isset($cfg['timeout']) ? (int) $cfg['timeout'] : 30;
$timeout = isset($options['timeout']) ? (int) $options['timeout'] : $baseTimeout;
if ($timeout <= 0) {
$timeout = 30;
}
$baseVerifyTls = array_key_exists('verify_tls', $cfg) ? (bool) $cfg['verify_tls'] : true;
$verifyTls = array_key_exists('verify_tls', $options)
? (bool) $options['verify_tls']
: $baseVerifyTls;
$projectHeader = $cfg['project_header'];
$headers = [
'Accept: application/json',
$projectHeader . ': ' . $projectUuid,
];
if (!empty($options['headers']) && is_array($options['headers'])) {
foreach ($options['headers'] as $header) {
if (is_string($header) && $header !== '') {
$headers[] = $header;
}
}
}
return self::sendCurl($url, 'GET', null, $headers, $timeout, $verifyTls);
}
/**
* Extract plain text from a Responses API payload.
*
* @param array<string,mixed> $response Result of LocalAIApi::createResponse|request.
* @return string
*/
public static function extractText(array $response): string
{
$payload = $response['data'] ?? $response;
if (!is_array($payload)) {
return '';
}
if (!empty($payload['output']) && is_array($payload['output'])) {
$combined = '';
foreach ($payload['output'] as $item) {
if (!isset($item['content']) || !is_array($item['content'])) {
continue;
}
foreach ($item['content'] as $block) {
if (is_array($block) && ($block['type'] ?? '') === 'output_text' && !empty($block['text'])) {
$combined .= $block['text'];
}
}
}
if ($combined !== '') {
return $combined;
}
}
if (!empty($payload['choices'][0]['message']['content'])) {
return (string) $payload['choices'][0]['message']['content'];
}
return '';
}
/**
* Attempt to decode JSON emitted by the model (handles markdown fences).
*
* @param array<string,mixed> $response
* @return array<string,mixed>|null
*/
public static function decodeJsonFromResponse(array $response): ?array
{
$text = self::extractText($response);
if ($text === '') {
return null;
}
$decoded = json_decode($text, true);
if (is_array($decoded)) {
return $decoded;
}
$stripped = preg_replace('/^```json|```$/m', '', trim($text));
if ($stripped !== null && $stripped !== $text) {
$decoded = json_decode($stripped, true);
if (is_array($decoded)) {
return $decoded;
}
}
return null;
}
/**
* Load configuration from ai/config.php.
*
* @return array<string,mixed>
*/
private static function config(): array
{
if (self::$configCache === null) {
$configPath = __DIR__ . '/config.php';
if (!file_exists($configPath)) {
throw new RuntimeException('AI config file not found: ai/config.php');
}
$cfg = require $configPath;
if (!is_array($cfg)) {
throw new RuntimeException('Invalid AI config format: expected array');
}
self::$configCache = $cfg;
}
return self::$configCache;
}
/**
* Build an absolute URL from base_url and a path.
*/
private static function buildUrl(string $path, string $baseUrl): string
{
$trimmed = trim($path);
if ($trimmed === '') {
return $baseUrl;
}
if (str_starts_with($trimmed, 'http://') || str_starts_with($trimmed, 'https://')) {
return $trimmed;
}
if ($trimmed[0] === '/') {
return $baseUrl . $trimmed;
}
return $baseUrl . '/' . $trimmed;
}
/**
* Resolve status path based on configured responses_path and ai_request_id.
*
* @param int|string $aiRequestId
* @param array<string,mixed> $cfg
* @return string
*/
private static function resolveStatusPath($aiRequestId, array $cfg): string
{
$basePath = $cfg['responses_path'] ?? '';
$trimmed = rtrim($basePath, '/');
if ($trimmed === '') {
return '/ai-request/' . rawurlencode((string)$aiRequestId) . '/status';
}
if (substr($trimmed, -11) !== '/ai-request') {
$trimmed .= '/ai-request';
}
return $trimmed . '/' . rawurlencode((string)$aiRequestId) . '/status';
}
/**
* Shared CURL sender for GET/POST requests.
*
* @param string $url
* @param string $method
* @param string|null $body
* @param array<int,string> $headers
* @param int $timeout
* @param bool $verifyTls
* @return array<string,mixed>
*/
private static function sendCurl(string $url, string $method, ?string $body, array $headers, int $timeout, bool $verifyTls): array
{
if (!function_exists('curl_init')) {
return [
'success' => false,
'error' => 'curl_missing',
'message' => 'PHP cURL extension is missing. Install or enable it on the VM.',
];
}
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_TIMEOUT, $timeout);
curl_setopt($ch, CURLOPT_CONNECTTIMEOUT, 5);
curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, $verifyTls);
curl_setopt($ch, CURLOPT_SSL_VERIFYHOST, $verifyTls ? 2 : 0);
curl_setopt($ch, CURLOPT_FAILONERROR, false);
$upper = strtoupper($method);
if ($upper === 'POST') {
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $body ?? '');
} else {
curl_setopt($ch, CURLOPT_HTTPGET, true);
}
$responseBody = curl_exec($ch);
if ($responseBody === false) {
$error = curl_error($ch) ?: 'Unknown cURL error';
curl_close($ch);
return [
'success' => false,
'error' => 'curl_error',
'message' => $error,
];
}
$status = (int) curl_getinfo($ch, CURLINFO_HTTP_CODE);
curl_close($ch);
$decoded = null;
if ($responseBody !== '' && $responseBody !== null) {
$decoded = json_decode($responseBody, true);
if (json_last_error() !== JSON_ERROR_NONE) {
$decoded = null;
}
}
if ($status >= 200 && $status < 300) {
return [
'success' => true,
'status' => $status,
'data' => $decoded ?? $responseBody,
];
}
$errorMessage = 'AI proxy request failed';
if (is_array($decoded)) {
$errorMessage = $decoded['error'] ?? $decoded['message'] ?? $errorMessage;
} elseif (is_string($responseBody) && $responseBody !== '') {
$errorMessage = $responseBody;
}
return [
'success' => false,
'status' => $status,
'error' => $errorMessage,
'response' => $decoded ?? $responseBody,
];
}
}
// Legacy alias for backward compatibility with the previous class name.
if (!class_exists('OpenAIService')) {
class_alias(LocalAIApi::class, 'OpenAIService');
}

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<?php
// OpenAI proxy configuration (workspace scope).
// Reads values from environment variables or executor/.env.
$projectUuid = getenv('PROJECT_UUID');
$projectId = getenv('PROJECT_ID');
if (
($projectUuid === false || $projectUuid === null || $projectUuid === '') ||
($projectId === false || $projectId === null || $projectId === '')
) {
$envPath = realpath(__DIR__ . '/../../.env'); // executor/.env
if ($envPath && is_readable($envPath)) {
$lines = @file($envPath, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES) ?: [];
foreach ($lines as $line) {
$line = trim($line);
if ($line === '' || $line[0] === '#') {
continue;
}
if (!str_contains($line, '=')) {
continue;
}
[$key, $value] = array_map('trim', explode('=', $line, 2));
if ($key === '') {
continue;
}
$value = trim($value, "\"' ");
if (getenv($key) === false || getenv($key) === '') {
putenv("{$key}={$value}");
}
}
$projectUuid = getenv('PROJECT_UUID');
$projectId = getenv('PROJECT_ID');
}
}
$projectUuid = ($projectUuid === false) ? null : $projectUuid;
$projectId = ($projectId === false) ? null : $projectId;
$baseUrl = 'https://flatlogic.com';
$responsesPath = $projectId ? "/projects/{$projectId}/ai-request" : null;
return [
'base_url' => $baseUrl,
'responses_path' => $responsesPath,
'project_id' => $projectId,
'project_uuid' => $projectUuid,
'project_header' => 'project-uuid',
'default_model' => 'gpt-5-mini',
'timeout' => 30,
'verify_tls' => true,
];

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<?php
header('Content-Type: application/json');
require_once __DIR__ . '/../db/config.php';
require_once __DIR__ . '/../ai/LocalAIApi.php';
$input = json_decode(file_get_contents('php://input'), true);
$message = $input['message'] ?? '';
if (empty($message)) {
echo json_encode(['reply' => "I didn't catch that. Could you repeat?"]);
exit;
}
try {
// 1. Fetch Knowledge Base (FAQs)
$stmt = db()->query("SELECT keywords, answer FROM faqs");
$faqs = $stmt->fetchAll(PDO::FETCH_ASSOC);
$knowledgeBase = "Here is the knowledge base for this website:\n\n";
foreach ($faqs as $faq) {
$knowledgeBase .= "Q: " . $faq['keywords'] . "\nA: " . $faq['answer'] . "\n---\n";
}
// 2. Construct Prompt for AI
$systemPrompt = "You are a helpful, friendly AI assistant for this website. " .
"Use the provided Knowledge Base to answer user questions accurately. " .
"If the answer is found in the Knowledge Base, rephrase it naturally. " .
"If the answer is NOT in the Knowledge Base, use your general knowledge to help, " .
"but politely mention that you don't have specific information about that if it seems like a site-specific question. " .
"Keep answers concise and professional.\n\n" .
$knowledgeBase;
// 3. Call AI API
$response = LocalAIApi::createResponse([
'model' => 'gpt-4o-mini',
'input' => [
['role' => 'system', 'content' => $systemPrompt],
['role' => 'user', 'content' => $message],
]
]);
if (!empty($response['success'])) {
$aiReply = LocalAIApi::extractText($response);
// 4. Save to Database
try {
$stmt = db()->prepare("INSERT INTO messages (user_message, ai_response) VALUES (?, ?)");
$stmt->execute([$message, $aiReply]);
} catch (Exception $e) {
error_log("DB Save Error: " . $e->getMessage());
// Continue even if save fails, so the user still gets a reply
}
echo json_encode(['reply' => $aiReply]);
} else {
// Fallback if AI fails
error_log("AI Error: " . ($response['error'] ?? 'Unknown'));
echo json_encode(['reply' => "I'm having trouble connecting to my brain right now. Please try again later."]);
}
} catch (Exception $e) {
error_log("Chat Error: " . $e->getMessage());
echo json_encode(['reply' => "An internal error occurred."]);
}

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<?php
require_once __DIR__ . '/../db/config.php';
require_once __DIR__ . '/../ai/LocalAIApi.php';
// Get Telegram Update
$content = file_get_contents("php://input");
$update = json_decode($content, true);
if (!$update || !isset($update['message'])) {
exit;
}
$message = $update['message'];
$chatId = $message['chat']['id'];
$text = $message['text'] ?? '';
if (empty($text)) {
exit;
}
// Get Telegram Token from DB
$stmt = db()->query("SELECT setting_value FROM settings WHERE setting_key = 'telegram_token'");
$token = $stmt->fetchColumn();
if (!$token) {
error_log("Telegram Error: No bot token found in settings.");
exit;
}
function sendTelegramMessage($chatId, $text, $token) {
$url = "https://api.telegram.org/bot$token/sendMessage";
$data = [
'chat_id' => $chatId,
'text' => $text,
'parse_mode' => 'Markdown'
];
$options = [
'http' => [
'header' => "Content-type: application/x-www-form-urlencoded\r\n",
'method' => 'POST',
'content' => http_build_query($data),
],
];
$context = stream_context_create($options);
return file_get_contents($url, false, $context);
}
// Process with AI (Similar logic to api/chat.php)
try {
// 1. Fetch Knowledge Base
$stmt = db()->query("SELECT keywords, answer FROM faqs");
$faqs = $stmt->fetchAll(PDO::FETCH_ASSOC);
$knowledgeBase = "Here is the knowledge base for this website:\n\n";
foreach ($faqs as $faq) {
$knowledgeBase .= "Q: " . $faq['keywords'] . "\nA: " . $faq['answer'] . "\n---\n";
}
$systemPrompt = "You are a helpful AI assistant integrated with Telegram. " .
"Use the provided Knowledge Base to answer user questions. " .
"Keep answers concise for mobile reading. Use Markdown for formatting.\n\n" .
$knowledgeBase;
// 2. Call AI
$response = LocalAIApi::createResponse([
'model' => 'gpt-4o-mini',
'input' => [
['role' => 'system', 'content' => $systemPrompt],
['role' => 'user', 'content' => $text],
]
]);
if (!empty($response['success'])) {
$aiReply = LocalAIApi::extractText($response);
// 3. Save History
try {
$stmt = db()->prepare("INSERT INTO messages (user_message, ai_response) VALUES (?, ?)");
$stmt->execute(["[Telegram] " . $text, $aiReply]);
} catch (Exception $e) {}
// 4. Send back to Telegram
sendTelegramMessage($chatId, $aiReply, $token);
} else {
sendTelegramMessage($chatId, "I'm sorry, I encountered an error processing your request.", $token);
}
} catch (Exception $e) {
error_log("Telegram Webhook Error: " . $e->getMessage());
}

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:root {
--primary: #6366f1;
--primary-dark: #4f46e5;
--accent: #d946ef;
--dark-bg: #1e1b4b;
--card-bg: rgba(30, 27, 75, 0.9);
--text-main: #f8fafc;
--text-muted: #94a3b8;
--gradient: linear-gradient(135deg, #6366f1 0%, #d946ef 100%);
--bg-gradient: linear-gradient(-45deg, #1e1b4b, #312e81, #1e1b4b);
}
body {
background: var(--bg-gradient);
background-size: 400% 400%;
animation: gradient 15s ease infinite;
color: var(--text-main);
font-family: 'Inter', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
margin: 0;
min-height: 100vh;
}
.main-wrapper {
display: flex;
align-items: center;
justify-content: center;
min-height: 100vh;
padding: 20px;
box-sizing: border-box;
}
@keyframes gradient {
0% { background-position: 0% 50%; }
50% { background-position: 100% 50%; }
100% { background-position: 0% 50%; }
}
/* Card Styling (AppWizzy style) */
.chat-container, .admin-container {
background: var(--card-bg);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 24px;
box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.5);
backdrop-filter: blur(20px);
color: var(--text-main);
}
.chat-header {
padding: 1.5rem;
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
font-weight: 600;
}
/* Buttons */
button {
background: var(--gradient);
border: none;
padding: 0.75rem 1.5rem;
border-radius: 12px;
color: white;
cursor: pointer;
font-weight: 600;
transition: transform 0.2s;
}
button:hover {
transform: translateY(-2px);
}
/* Inputs */
input, .form-control {
background: rgba(255, 255, 255, 0.05);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 12px;
padding: 0.75rem 1rem;
color: white;
}
input:focus {
border-color: var(--primary);
outline: none;
}

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document.addEventListener('DOMContentLoaded', () => {
const chatForm = document.getElementById('chat-form');
const chatInput = document.getElementById('chat-input');
const chatMessages = document.getElementById('chat-messages');
const appendMessage = (text, sender) => {
const msgDiv = document.createElement('div');
msgDiv.classList.add('message', sender);
msgDiv.textContent = text;
chatMessages.appendChild(msgDiv);
chatMessages.scrollTop = chatMessages.scrollHeight;
};
chatForm.addEventListener('submit', async (e) => {
e.preventDefault();
const message = chatInput.value.trim();
if (!message) return;
appendMessage(message, 'visitor');
chatInput.value = '';
try {
const response = await fetch('api/chat.php', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ message })
});
const data = await response.json();
// Artificial delay for realism
setTimeout(() => {
appendMessage(data.reply, 'bot');
}, 500);
} catch (error) {
console.error('Error:', error);
appendMessage("Sorry, something went wrong. Please try again.", 'bot');
}
});
});

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