OpenAI PHP asynchronous client for workerman and webman.
composer create-project workerman/webman
cd webman
composer require webman/openai
<?php
namespace app\controller;
use support\Request;
use Webman\Openai\Chat;
use Workerman\Protocols\Http\Chunk;
class ChatController
{
public function completions(Request $request)
{
$connection = $request->connection;
$chat = new Chat(['apikey' => 'sk-xx', 'api' => 'https://api.openai.com']);
$chat->completions(
[
'model' => 'gpt-3.5-turbo',
'stream' => true,
'messages' => [['role' => 'user', 'content' => 'hello']],
], [
'stream' => function($data) use ($connection) {
$connection->send(new Chunk(json_encode($data, JSON_UNESCAPED_UNICODE) . "\n"));
},
'complete' => function($result, $response) use ($connection) {
if (isset($result['error'])) {
$connection->send(new Chunk(json_encode($result, JSON_UNESCAPED_UNICODE) . "\n"));
}
$connection->send(new Chunk(''));
},
]);
return response()->withHeaders([
"Transfer-Encoding" => "chunked",
]);
}
}<?php
namespace app\controller;
use support\Request;
use Webman\Openai\Chat;
use Workerman\Protocols\Http\Chunk;
class ChatController
{
public function completions(Request $request)
{
$connection = $request->connection;
$chat = new Chat(['apikey' => 'sk-xxx', 'api' => 'https://api.openai.com']);
$chat->completions(
[
'model' => 'gpt-3.5-turbo',
'messages' => [['role' => 'user', 'content' => 'hello']],
], [
'complete' => function($result, $response) use ($connection) {
$connection->send(new Chunk(json_encode($result, JSON_UNESCAPED_UNICODE) . "\n"));
$connection->send(new Chunk(''));
},
]);
return response()->withHeaders([
"Transfer-Encoding" => "chunked",
]);
}
}<?php
namespace app\controller;
use support\Request;
use Webman\Openai\Image;
use Workerman\Protocols\Http\Chunk;
class ImageController
{
public function generations(Request $request)
{
$connection = $request->connection;
$image = new Image(['apikey' => 'sk-xxx', 'api' => 'https://api.openai.com']);
$image->generations([
'model' => 'dall-e-3',
'prompt' => 'a dog',
'n' => 1,
'size' => "1024x1024"
], [
'complete' => function($result) use ($connection) {
$connection->send(new Chunk(json_encode($result)));
$connection->send(new Chunk(''));
}
]);
return response()->withHeaders([
"Content-Type" => "application/json",
"Transfer-Encoding" => "chunked",
]);
}
}<?php
namespace app\controller;
use support\Request;
use Webman\Openai\Audio;
use Workerman\Protocols\Http\Chunk;
class AudioController
{
public function speech(Request $request)
{
$connection = $request->connection;
$audio = new Audio(['apikey' => 'sk-xxx', 'api' => 'https://api.openai.com']);
$audio->speech([
'model' => 'tts-1',
'input' => '你好，有什么可以帮您？',
'voice' => 'echo'
], [
'stream' => function($buffer) use ($connection) {
$connection->send(new Chunk($buffer));
},
'complete' => function($result, $response) use ($connection) {
$connection->send(new Chunk(''));
}
]);
return<
95D8
/span> response()->withHeaders([
"Content-Type" => "audio/mpeg",
"Transfer-Encoding" => "chunked",
]);
}
}<?php
namespace app\controller;
use support\Request;
use Webman\Openai\Embedding;
use Workerman\Protocols\Http\Chunk;
class EmbeddingController
{
public function create(Request $request)
{
$connection = $request->connection;
$embedding = new Embedding(['apikey' => 'sk-xxx', 'api' => 'https://api.openai.com']);
$embedding->create([
'model' => 'text-embedding-ada-002',
'input' => 'Some words',
'encodding_format' => 'float',
], [
'complete' => function($result) use ($connection) {
$connection->send(new Chunk(json_encode($result)));
$connection->send(new Chunk(''));
}
]);
return response()->withHeaders([
"Content-Type" => "application/json",
"Transfer-Encoding" => "chunked",
]);
}
}public function completions(Request $request)
{
$connection = $request->connection;
$chat = new Chat(['api' => 'https://xxx.openai.azure.com', 'apikey' => 'xxx', 'isAzure' => true]);
$chat->completions(
[
'model' => 'gpt-3.5-turbo',
'stream' => true,
'messages' => [['role' => 'user', 'content' => 'hello']],
], [
'stream' => function($data) use ($connection) {
$connection->send(new Chunk(json_encode($data, JSON_UNESCAPED_UNICODE) . "\n"));
},
'complete' => function($result, $response) use ($connection) {
if (isset($result['error'])) {
$connection->send(new Chunk(json_encode($result, JSON_UNESCAPED_UNICODE) . "\n"));
}
$connection->send(new Chunk(''));
},
]);
return response()->withHeaders([
"Transfer-Encoding" => "chunked",
]);
}public function completions(Request $request)
{
$connection = $request->connection;
$chat = new Chat(['api' => 'https://dashscope.aliyuncs.com/compatible-mode', 'apikey' => 'xxx']);
$chat->completions(
[
'model' => 'qwen-turbo',
'stream' => true,
'messages' => [['role' => 'user', 'content' => 'hello']],
], [
'stream' => function($data) use ($connection) {
$connection->send(new Chunk(json_encode($data, JSON_UNESCAPED_UNICODE) . "\n"));
},
'complete' => function($result, $response) use ($connection) {
if (isset($result['error'])) {
$connection->send(new Chunk(json_encode($result, JSON_UNESCAPED_UNICODE) . "\n"));
}
$connection->send(new Chunk(''));
},
]);
return response()->withHeaders([
"Transfer-Encoding" => "chunked",
]);
}Help：https://help.aliyun.com/zh/dashscope/developer-reference/compatibility-of-openai-with-dashscope