用魔法打败魔法，通过Deepseek生成代码，最终功能实现了：
第一个问题：php开发聊天 接入deepseek（摘抄一些核心代码）
1、安装
composer require deepseek-php/deepseek-php-client # 示例命令:ml-citation{ref="4" data="citationList"}
2、创建DeepSeek客户端实例
use DeepSeek\DeepSeekClient; # 若使用官方库:ml-citation{ref="4" data="citationList"} $apiKey = 'YOUR_API_KEY'; # 从环境变量或安全存储读取:ml-citation{ref="2,3" data="citationList"} $client = DeepSeekClient::build($apiKey); # 官方客户端初始化:ml-citation{ref="4" data="citationList"}
3、发送对话请求
$postData = ['model' => 'deepseek-chat', 'messages' => [['role' => 'system', 'content' => '你是一个助手'], ['role' => 'user', 'content' => '你好'] ],'temperature' => 1,'max_tokens' => 2048,'stream' => false # 非流式模式:ml-citation{ref="1,5" data="citationList"} ]; $response = $client->chatCompletions($postData); # 调用方法:ml-citation{ref="5" data="citationList"}
4、处理响应
if ($response) {$result = json_decode($response, true);$reply = $result['choices']['message']['content'];echo $reply; # 输出回复内容:ml-citation{ref="5,6" data="citationList"} }
5、启用流输出：
$postData['stream'] = true; curl_setopt($ch, CURLOPT_WRITEFUNCTION, function($ch, $data) {echo $data; # 实时输出流数据return strlen($data); }); # 需自行实现 cURL 流处理:ml-citation{ref="1,7" data="citationList"}
6、保存对话记录
file_put_contents('conversation.txt', json_encode($postData) . PHP_EOL, FILE_APPEND); # 结构化存储:ml-citation{ref="1" data="citationList"}
8、错误处理
if (curl_errno($ch)) {error_log('cURL Error: ' . curl_error($ch)); # 记录错误日志:ml-citation{ref="3" data="citationList"} }
第一个问题，给出来的都不是具体的代码，都是一些代码片段。
然后问第二个问题：提供一个完整的PHP接入DeepSeek聊天示例
1、基础代码结构
<?php class DeepSeekChat {private $apiUrl = 'https://api.siliconflow.cn/v1/chat/completions';private $apiKey; // 从环境变量获取:ml-citation{ref="1,3" data="citationList"}private $logFile = 'conversation.log';public function __construct() {$this->apiKey = getenv('DEEPSEEK_API_KEY'); // 安全读取密钥:ml-citation{ref="1,5" data="citationList"}if (!file_exists($this->logFile)) {touch($this->logFile);}}public function sendMessage($message, $history = []) {$messages = array_merge([['role' => 'system', 'content' => '你是有道AI助手']],$history,[['role' => 'user', 'content' => $message]]);$postData = ['model' => 'deepseek-chat','messages' => $messages,'temperature' => 1,'max_tokens' => 2048,'stream' => false];return $this->executeRequest($postData);}private function executeRequest($data) {$ch = curl_init();curl_setopt_array($ch, [CURLOPT_URL => $this->apiUrl,CURLOPT_HTTPHEADER => ['Content-Type: application/json','Authorization: Bearer ' . $this->apiKey],CURLOPT_POST => true,CURLOPT_POSTFIELDS => json_encode($data),CURLOPT_RETURNTRANSFER => true,CURLOPT_SSL_VERIFYPEER => true // 生产环境强制验证:ml-citation{ref="3,5" data="citationList"} ]);$response = curl_exec($ch);$this->logConversation($data, $response);if (curl_errno($ch)) {throw new Exception('API请求失败: ' . curl_error($ch));}return $this->parseResponse($response);}private function parseResponse($response) {$result = json_decode($response, true);if (isset($result['choices']['message']['content'])) {return $result['choices']['message']['content'];}throw new Exception('API响应解析失败');}private function logConversation($request, $response) {$logEntry = json_encode(['timestamp' => date('Y-m-d H:i:s'),'request' => $request,'response' => json_decode($response, true)]) . PHP_EOL;file_put_contents($this->logFile, $logEntry, FILE_APPEND);} }// 使用示例 $chat = new DeepSeekChat(); try {$reply = $chat->sendMessage("PHP如何接入DeepSeek?");echo "AI回复: " . $reply; } catch (Exception $e) {echo "错误: " . $e->getMessage(); } ?>
这个代码，直接可以用，就很厉害！
2、流式响应拓展方案
在executeRequest 方法中增加流式处理：
public function streamMessage($message) {$postData = $this->buildRequestData($message);$postData['stream'] = true; // 启用流式传输:ml-citation{ref="1,3" data="citationList"}$ch = curl_init();// ... 初始化配置同上curl_setopt($ch, CURLOPT_WRITEFUNCTION, function($ch, $data) {$lines = explode("\n", $data);foreach ($lines as $line) {if (strpos($line, 'data: ') === 0) {$json = substr($line, 6);$response = json_decode($json, true);if (isset($response['choices']['delta']['content'])) {echo $response['choices']['delta']['content'];flush();}}}return strlen($data);});curl_exec($ch); }
3、错误监控
// 在构造函数中增加监控 set_error_handler(function($errno, $errstr) {error_log("DeepSeek Error: $errstr"); });
两个问题其实已经给出了答案了。
第三个问题：给我 流式响应扩展方案 的详细代码示例
class DeepSeekChat {// ... 保留原有属性和构造函数/*** 流式对话处理（支持上下文延续）* @param string $message 用户输入* @param array $history 对话历史（格式：[['role'=>'user', 'content'=>'内容'],...]）*/public function streamMessage(string $message, array $history = []) {$messages = array_merge([['role' => 'system', 'content' => '你是有道AI助手']],$history,[['role' => 'user', 'content' => $message]]);$postData = ['model' => 'deepseek-chat','messages' => $messages,'temperature' => 1,'max_tokens' => 2048,'stream' => true // 启用流式模式:ml-citation{ref="1,3" data="citationList"} ];$this->executeStreamRequest($postData);}private function executeStreamRequest(array $data) {$ch = curl_init();try {curl_setopt_array($ch, [CURLOPT_URL => $this->apiUrl,CURLOPT_HTTPHEADER => ['Content-Type: application/json','Authorization: Bearer ' . $this->apiKey],CURLOPT_POST => true,CURLOPT_POSTFIELDS => json_encode($data),CURLOPT_WRITEFUNCTION => function($ch, $data) {$this->processStreamChunk($data); // 处理数据块return strlen($data);},CURLOPT_SSL_VERIFYPEER => true, // 强制SSL验证:ml-citation{ref="5" data="citationList"}CURLOPT_TIMEOUT => 120 // 超时设置:ml-citation{ref="3" data="citationList"} ]);if (!curl_exec($ch) && curl_errno($ch)) {throw new Exception('流式请求失败: ' . curl_error($ch));}} finally {curl_close($ch); // 确保释放资源:ml-citation{ref="3" data="citationList"} }}private function processStreamChunk(string $chunk) {$lines = explode("\n", trim($chunk));foreach ($lines as $line) {if (strpos($line, 'data: ') === 0) { // 识别有效数据行:ml-citation{ref="6" data="citationList"}$jsonStr = substr($line, 6);if ($jsonStr === '[DONE]') return; // 流结束标记:ml-citation{ref="3" data="citationList"}$response = json_decode($jsonStr, true);if (isset($response['choices']['delta']['content'])) {echo $response['choices']['delta']['content'];flush(); // 实时输出缓冲区:ml-citation{ref="1" data="citationList"} }}}} }
使用示例：
// 初始化对话 $chat = new DeepSeekChat();// 执行流式请求 try {header('Content-Type: text/plain; charset=utf-8'); // 设置HTTP流头:ml-citation{ref="3" data="citationList"}$chat->streamMessage("用PHP实现快速排序算法"); } catch (Exception $e) {error_log("流式错误: " . $e->getMessage()); // 错误日志记录:ml-citation{ref="5" data="citationList"} }
到此，功能基本就全部实现了。
打完收工！
