概述
OpenAI 客户端 3.0 发布，支持协程。webman/openai 是一个异步非阻塞的 openai 客户端，配合webman可以做到同一时刻支持上万并发调用，使用简单，返回如丝般的顺滑。
传统 php-fpm 架构调用openai等大模型接口时只能做到阻塞调用，由于大模型接口返回速度很慢，一个php-fpm进程一分钟只能调用几次，几个人一刷系统就会明显的卡顿甚至不可用状态，所以php-fpm不适合做大模型调用，而webman这类的常驻内存类型的框架非常适合大模型应用的开发。
安装
通过composer工具安装依赖包
composer require webman/openai
快速使用
启用协程
在 config/process.php 中设置
return ['webman' => ['handler' => \Webman\App::class,'listen' => 'http://0.0.0.0:8787','eventLoop' => \Workerman\Events\Fiber::class, // 推荐（PHP 原生）// 'eventLoop' => \Workerman\Events\Swoole::class, // 或 Swoole// 'eventLoop' => \Workerman\Events\Swow::class, // 或 Swow ],];
服务端
控制器 ChatController.php
<?php/** * @desc 阿里百炼 * @author Tinywan(ShaoBo Wan) * @date 2026/5/5 12:04 */declare(strict_types=1);namespaceapp\controller;usesupport\Request;usesupport\Response;useWebman\Openai\Chat;useWorkerman\Protocols\Http\Chunk;classChatController{/** * @desc home * @param Request $request * @return Response * @author Tinywan(ShaoBo Wan) */publicfunctionhome(Request $request): Response{return view('chat/home'); }/** * @desc completions * @param Request $request * @return Response * @author Tinywan(ShaoBo Wan) */publicfunctioncompletions(Request $request): Response{ $connection = $request->connection; $chat = new Chat(['apikey' => 'sk-xxxxxxxxxxxxxxxxxxxxxx', 'api' => 'https://dashscope.aliyuncs.com/compatible-mode']); $chat->completions( ['model' => 'qwen-turbo','stream' => true,'messages' => [ ['role' => 'user', 'content' => '你是什么大模型？'] ], ], ['stream' => function($data)use($connection){ $connection->send(new Chunk(json_encode($data, JSON_UNESCAPED_UNICODE) . "\n")); },'complete' => function($result, $response)use($connection){ var_dump($result);if (isset($result['error'])) { $connection->send(new Chunk(json_encode($result, JSON_UNESCAPED_UNICODE) . "\n")); } $connection->send(new Chunk('')); }, ]);return response()->withHeaders(["Transfer-Encoding" => "chunked", ]); }}
对外提供服务地址：http://127.0.0.1:8787/chat/completions
客户端
视图文件chat/home.html
<!DOCTYPE html><html><head><metacharset="UTF-8"><title>开源技术小栈</title></head><body><h1>Openai 异步客户端接入通义千问大模型API，3分钟入门AIGC！</h1><divid="data-container"></div><script>// 定义接收数据的URLconst url = 'http://127.0.0.1:8787/chat/completions';// 发起请求并处理分块数据functionfetchChunkedData() { fetch(url, {method: 'GET',headers: {'Accept': 'text/plain; chunks=true'// 某些服务器可能需要这个头来明确请求分块数据 } }) .then(response => {if (!response.ok) {thrownewError('Network response was not ok ' + response.statusText); }return response.body; }) .then(body => {// 将ReadableStream转换为阅读器const reader = body.getReader(); processChunks(reader); }) .catch(error => {console.error('There has been a problem with your fetch operation:', error); }); }// 处理分块数据functionprocessChunks(reader) {// 读取数据块 reader.read().then(({done, value}) => {if (done) {console.log('Stream complete');return; }// 将Uint8Array转换为字符串const chunk = new TextDecoder('utf-8').decode(value);// 将数据块显示在页面上const dataContainer = document.getElementById('data-container'); dataContainer.insertAdjacentHTML('beforeend', chunk);// 递归读取下一个数据块 processChunks(reader); }); }// 调用函数开始获取数据 fetchChunkedData();</script></body></html>
对外提供服务地址：http://127.0.0.1:8787/chat/home
启动webman
php start.php start
访问服务地址：http://127.0.0.1:8787/chat/home
Json响应数据
{"choices": [ {"delta": {"content": "我是","role": "assistant" },"finish_reason": "null","index": 0,"logprobs": null } ],"object": "chat.completion.chunk","created": 1714803699,"system_fingerprint": "","model": "qwen-turbo","id": "chatcmpl-650738c41d0794079829207a6bdfbec6"}...
更多：https://www.workerman.net/plugin/157
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