OpenUI Forge — PHP
Build generative UI apps with a React frontend + Laravel backend. Streams the OpenAI API's native SSE response straight through response()->stream().
Activation Triggers
- "openui php", "openui laravel", "openui php backend"
- "generative ui php", "laravel streaming ui backend"
Prerequisites
- Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
- PHP >= 8.3 + Laravel 13.x (backend; Laravel 13 requires PHP 8.3 minimum and supports 8.3 through 8.5)
- Composer;
guzzlehttp/guzzleships with Laravel and backs theHttpfacade (no extra dependency to call OpenAI) OPENAI_API_KEYenvironment variable set
Quick Start
- Create the React frontend and install OpenUI deps:
npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod
- Generate the system prompt:
npx @openuidev/cli generate ./src/lib/library.ts --out backend/storage/app/system-prompt.txt
- Create the Laravel backend (see Full Code below). On a fresh app, enable API routes once with
php artisan install:api. - Run:
php artisan serveon:8000, frontend on:3000
Full Code
Backend: composer.json (require block)
{
"require": {
"php": "^8.3",
"laravel/framework": "^13.0"
}
}
Laravel bundles
guzzlehttp/guzzle, so theHttpfacade can call OpenAI with no extra package. The OpenAI SSE passthrough below needs nothing beyond the framework.
Backend: routes/api.php
<?php
use App\Http\Controllers\ChatController;
use Illuminate\Support\Facades\Route;
// `php artisan install:api` creates this file and prefixes it with /api,
// so this route is reachable at POST /api/chat.
Route::post('/chat', [ChatController::class, 'chat']);
Backend: app/Http/Controllers/ChatController.php
<?php
namespace App\Http\Controllers;
use Illuminate\Http\Request;
use Illuminate\Support\Facades\Http;
use Symfony\Component\HttpFoundation\StreamedResponse;
class ChatController extends Controller
{
// Loaded once per worker process, then reused across requests.
private static ?string $systemPrompt = null;
private function systemPrompt(): string
{
if (self::$systemPrompt === null) {
$path = storage_path('app/system-prompt.txt');
if (! is_file($path)) {
abort(500, 'system-prompt.txt not found at ' . $path);
}
self::$systemPrompt = (string) file_get_contents($path);
}
return self::$systemPrompt;
}
public function chat(Request $request): StreamedResponse
{
// Read config(), never env(), in a controller: after `php artisan
// config:cache` (standard in production) env() returns null outside
// config files. See the config/services.php block below.
$apiKey = config('services.openai.key');
if (! $apiKey) {
abort(500, 'OPENAI_API_KEY not set');
}
$incoming = $request->validate([
'messages' => 'required|array|min:1',
'messages.*.role' => 'required|string',
'messages.*.content' => 'required|string',
])['messages'];
// Prepend the system prompt; never trust a client-sent system message.
$messages = array_merge(
[['role' => 'system', 'content' => $this->systemPrompt()]],
array_map(
fn (array $m) => ['role' => $m['role'], 'content' => $m['content']],
$incoming,
),
);
$baseUrl = rtrim(config('services.openai.base_url'), '/');
$model = config('services.openai.model');
// stream => true returns the Guzzle PSR-7 response with its body still
// on the wire, so we read it chunk-by-chunk instead of buffering the
// whole completion in memory.
$upstream = Http::withToken($apiKey)
->withOptions(['stream' => true])
->acceptJson()
->post("{$baseUrl}/chat/completions", [
'model' => $model,
'stream' => true,
'messages' => $messages,
]);
if ($upstream->failed()) {
abort($upstream->status(), 'OpenAI request failed: ' . $upstream->body());
}
$body = $upstream->toPsrResponse()->getBody();
return response()->stream(function () use ($body): void {
// Forward OpenAI's SSE bytes verbatim. OpenAI already emits
// `data: {chunk}\n\n` frames plus a final `data: [DONE]`, which is
// exactly what openAIAdapter() parses, so no re-framing is needed.
while (! $body->eof()) {
$chunk = $body->read(8192);
if ($chunk === '') {
usleep(1000); // avoid a busy-wait if the stream momentarily has no data
continue;
}
echo $chunk;
if (ob_get_level() > 0) {
@ob_flush();
}
flush();
}
}, 200, [
'Content-Type' => 'text/event-stream',
'Cache-Control' => 'no-cache',
'Connection' => 'keep-alive',
'X-Accel-Buffering' => 'no',
]);
}
}
Backend: config/services.php (add an openai entry)
Read provider settings via config(), not env(), in the controller: after php artisan config:cache (standard in production) env() returns null outside config files. env() is only safe inside config files like this one.
<?php
return [
// ...existing services...
'openai' => [
'key' => env('OPENAI_API_KEY'),
'base_url' => env('OPENAI_BASE_URL', 'https://api.openai.com/v1'),
'model' => env('OPENAI_MODEL', 'gpt-5.5'),
],
];
Backend: config/cors.php (publish once with php artisan config:publish cors)
<?php
return [
'paths' => ['api/*'],
'allowed_methods' => ['POST', 'OPTIONS'],
// Pin the frontend origin, not a wildcard.
'allowed_origins' => [env('FRONTEND_ORIGIN', 'http://localhost:3000')],
'allowed_headers' => ['Content-Type', 'Authorization'],
'exposed_headers' => [],
'max_age' => 0,
// Leave false unless you send cookies; with credentials a wildcard is illegal.
'supports_credentials' => false,
];
Laravel's built-in
HandleCorsmiddleware reads this config and answers theOPTIONSpreflight automatically, so the controller never hand-writesAccess-Control-*headers.
Frontend: app/chat/page.tsx
"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
openAIAdapter,
openAIMessageFormat,
} from "@openuidev/react-headless";
export default function ChatPage() {
return (
<FullScreen
componentLibrary={openuiChatLibrary}
streamProtocol={openAIAdapter()}
messageFormat={openAIMessageFormat}
apiUrl="http://localhost:8000/api/chat"
/>
);
}
The Laravel backend forwards OpenAI's SSE stream verbatim through
response()->stream(), reading the Guzzle PSR-7 body in chunks and callingflush()after each one, so the client sees tokens as they arrive. Pair it withopenAIAdapter()on the frontend.openAIReadableStreamAdapter()is for NDJSON (nodata:prefix) and will silently produce no output here.Do not reach for Laravel's
response()->eventStream()here: it wraps each yield as a named SSE event and appends a</stream>sentinel, which rewrites the bytes and breaksopenAIAdapter(). Plainresponse()->stream()keeps OpenAI'sdata: {chunk}frames and the literaldata: [DONE]intact.An official-style OpenAI PHP client exists (
openai-php/client, requires PHP 8.2+) with acreateStreamed()helper as an alternative to calling the HTTP endpoint directly. This skill keeps the bundled Guzzle-backedHttpfacade as the dependency-free default. A pureext-curl+CURLOPT_WRITEFUNCTIONvariant (return the chunk's byte count from the callback,echo+flush()inside it) is shown intemplates/handler-php.php.template.
System Prompt Generation
npx @openuidev/cli generate ./src/lib/library.ts --out backend/storage/app/system-prompt.txt
Validation Checklist
-
system-prompt.txtexists atstorage/app/system-prompt.txtin the Laravel backend -
OPENAI_API_KEYis set in.env(andOPENAI_BASE_URL/OPENAI_MODELif overriding) -
php artisan install:apihas been run soPOST /api/chatexists -
config/cors.phpallowed_originslists the frontend origin (not*) - Response streams SSE directly from OpenAI API (passthrough via
response()->stream()) -
X-Accel-Buffering: noheader is set so nginx/FastCGI does not buffer the stream - Frontend
apiUrlpoints tohttp://localhost:8000/api/chat - Frontend uses
streamProtocol={openAIAdapter()}andopenAIMessageFormat -
componentLibrary={openuiChatLibrary}prop passed toFullScreen - CSS import in root layout (
@openuidev/react-ui/components.css)
Error Patterns
| Error | Cause | Fix |
|---|---|---|
| CORS blocked | Origin mismatch | Set allowed_origins in config/cors.php to the frontend origin |
404 on /api/chat |
API routes not installed | Run php artisan install:api and confirm routes/api.php exists |
system-prompt.txt not found |
File missing from storage/app |
Run the CLI generate command into storage/app/system-prompt.txt |
500 OPENAI_API_KEY not set |
Env var missing, or read via env() after config:cache |
Set OPENAI_API_KEY in .env and read it through config('services.openai.key') (cache-safe) |
Upstream error surfaced via abort() |
OpenAI key invalid or model wrong | Check OPENAI_API_KEY, OPENAI_MODEL, OPENAI_BASE_URL |
| Response arrives all at once (no streaming) | Output buffered by server | Keep X-Accel-Buffering: no; ensure flush() runs and no full-page output buffer wraps it |
| Empty response | Wrong adapter | Use openAIAdapter() (SSE), not openAIReadableStreamAdapter() (NDJSON) |