64 lines
2.0 KiB
PHP
64 lines
2.0 KiB
PHP
<?php
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namespace App\Blog\Services;
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use Illuminate\Support\Facades\Http;
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use Illuminate\Support\Facades\Log;
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/**
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* OpenAI 兼容 LLM 客户端（支持 OpenAI / DeepSeek / 通义 / 自建代理）。
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*/
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class LlmClient
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{
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public function baseUrl(): string
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{
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return rtrim((string) blog_setting('llm_base_url', config('services.llm.base_url', env('LLM_BASE_URL'))), '/');
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}
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public function apiKey(): string
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{
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return (string) blog_setting('llm_api_key', config('services.llm.api_key', env('LLM_API_KEY')));
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}
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public function model(): string
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{
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return (string) blog_setting('llm_model', config('services.llm.model', env('LLM_MODEL', 'gpt-4o-mini')));
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}
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public function isConfigured(): bool
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{
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return $this->baseUrl() !== '' && $this->apiKey() !== '';
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}
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/**
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* 简单的聊天补全。
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*
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* @param array<int, array{role: string, content: string}> $messages
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*/
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public function chat(array $messages, array $options = []): string
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{
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if (! $this->isConfigured()) {
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throw new \RuntimeException('LLM 未配置：请设置 LLM_BASE_URL 与 LLM_API_KEY');
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}
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$response = Http::timeout(60)
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->withToken($this->apiKey())
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->post($this->baseUrl().'/chat/completions', [
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'model' => $options['model'] ?? $this->model(),
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'messages' => $messages,
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'temperature' => $options['temperature'] ?? 0.3,
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'max_tokens' => $options['max_tokens'] ?? 1024,
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]);
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if ($response->failed()) {
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Log::error('LLM 请求失败', ['status' => $response->status(), 'body' => $response->body()]);
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throw new \RuntimeException('LLM 请求失败：HTTP '.$response->status());
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}
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$content = $response->json('choices.0.message.content', '');
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return is_array($content) ? json_encode($content, JSON_UNESCAPED_UNICODE) : (string) $content;
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}
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}
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