Files
code-review/app/llm.js
T
jiantw83 ec1f6c96e7 feat: 階段一 - 改用 Node.js 實作基本流程骨架
- Dockerfile: 改用 node:20-slim
- entrypoint.sh: 執行 app/main.js
- app/package.json: axios + js-yaml + openai
- app/config.js: 環境變數與 LLM 自動偵測(10 種服務)
- app/llm.js: OpenAI-compatible 統一介面
- app/gitea.js: PR diff 取得與 comment 發布
- app/roles.js: 從 prompts/roles/*.yaml 載入角色
- app/main.js: pipeline 骨架,log 每個主要階段
2026-05-11 07:24:47 +00:00

34 lines
1.1 KiB
JavaScript

import axios from 'axios';
import { getLLMConfig } from './config.js';
export async function chat(systemPrompt, userContent) {
const { provider, apiKey, baseURL, model } = getLLMConfig();
if (!provider) throw new Error('未設定任何 LLM API Key');
console.log(` [LLM] provider=${provider} model=${model}`);
const headers = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${apiKey}`,
};
if (provider === 'claude') headers['anthropic-version'] = '2023-06-01';
const resp = await axios.post(
`${baseURL.replace(/\/$/, '')}/chat/completions`,
{ model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 },
{ headers, timeout: 120000 }
);
return resp.data.choices[0].message.content;
}
export async function chatJSON(systemPrompt, userContent) {
try {
let text = await chat(systemPrompt, userContent);
text = text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim();
return JSON.parse(text);
} catch (e) {
console.log(` [LLM] 解析失敗: ${e.message}`);
return [];
}
}