核心组件:
NLU(自然语言理解)模块
对话状态追踪器
DeepSeek响应生成引擎
上下文记忆系统
class DeepSeekChatbot { private $client; public function __construct() { $this->client = new \GuzzleHttp\Client([ 'base_uri' => 'https://api.deepseek.com/chat/v1/', 'headers' => [ 'Authorization' => 'Bearer '.getenv('DEEPSEEK_API_KEY') ] ]); } public function sendMessage($message, $context=[]) { $response = $this->client->post('conversations', [ 'json' => [ 'query' => $message, 'context' => $context, 'params' => [ 'temperature' => 0.7, 'max_tokens' => 150 ] ] ]); return json_decode($response->getBody(), true); } } // 使用示例 $bot = new DeepSeekChatbot(); $reply = $bot->sendMessage("PHP数组怎么转JSON?"); echo $reply['choices'][0]['text'];
class ConversationSession { private $history = []; public function talk($message) { $response = $this->bot->sendMessage($message, $this->history); // 维护对话历史 array_push($this->history, ['role' => 'user', 'content' => $message], ['role' => 'assistant', 'content' => $response['text']] ); // 保持最近5轮对话 $this->history = array_slice($this->history, -10); return $response; } }
对话示例:
用户:如何连接MySQL?
DeepSeek:使用mysqli_connect()函数...
用户:怎么防止SQL注入?
DeepSeek:建议使用预处理语句...
'json' => [ 'query' => $message, 'knowledge_base' => [ 'php_manual' => 'path/to/php_manual.pdf' ] ]
// 发送图片+文本 $bot->sendMultimodalMessage( text: "解释这张图的技术点", image: file_get_contents('architecture.png') );
使用Docker容器化部署
FROM php:8.2-fpm COPY . /var/www/html RUN composer install
Prometheus监控配置
- job_name: 'deepseek_chat' metrics_path: '/metrics' static_configs: - targets: ['chatbot:8080']