120 lines
4.2 KiB
JavaScript
120 lines
4.2 KiB
JavaScript
import axios from 'axios';
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import { getLLMConfig } from './config.js';
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import { line, error } from './log.js';
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function isOpenAIGpt55(provider, model) {
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return provider === 'openai' && /^gpt-5\.5(?:-|$)/i.test(model || '');
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}
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function chatEndpoint(baseURL, provider, model) {
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const base = baseURL.replace(/\/$/, '');
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return isOpenAIGpt55(provider, model) ? `${base}/responses` : `${base}/chat/completions`;
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}
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function chatPayload(provider, model, systemPrompt, userContent) {
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if (isOpenAIGpt55(provider, model)) {
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return { model, instructions: systemPrompt, input: userContent, temperature: 0.2 };
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}
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return { model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 };
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}
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function extractContent(provider, model, data) {
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if (!isOpenAIGpt55(provider, model)) return data.choices[0].message.content;
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if (typeof data.output_text === 'string') return data.output_text;
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const parts = data.output?.flatMap(item => item.content || []) || [];
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const text = parts
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.map(part => {
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if (typeof part.text === 'string') return part.text;
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if (typeof part.content === 'string') return part.content;
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return '';
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})
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.filter(Boolean)
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.join('');
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if (text) return text;
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return data.choices?.[0]?.message?.content || '';
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}
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function opencodeModelConfig(model) {
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const [providerID, modelID] = model.includes('/') ? model.split('/', 2) : [process.env.OPENCODE_PROVIDER || 'google', model];
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return { providerID, modelID };
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}
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function applyOpenCodeAuth(headers) {
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const password = process.env.OPENCODE_SERVER_PASSWORD;
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if (!password) return;
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const username = process.env.OPENCODE_SERVER_USERNAME || 'opencode';
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headers['Authorization'] = `Basic ${Buffer.from(`${username}:${password}`).toString('base64')}`;
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}
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function extractOpenCodeContent(data) {
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const parts = data.parts || data.data?.parts || data.info?.content || data.data?.info?.content || [];
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return parts
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.map(part => part.text || part.content || '')
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.filter(Boolean)
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.join('');
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}
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async function chatOpenCode(baseURL, model, systemPrompt, userContent, headers) {
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const base = baseURL.replace(/\/$/, '');
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const { providerID, modelID } = opencodeModelConfig(model);
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const session = await axios.post(
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`${base}/session`,
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{ title: 'AI Code Review', model: { providerID, id: modelID } },
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{ headers }
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);
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const sessionID = session.data.id || session.data.data?.id;
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if (!sessionID) throw new Error('OpenCode session 建立失敗：回應中沒有 session id');
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const resp = await axios.post(
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`${base}/session/${sessionID}/message`,
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{
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model: { providerID, modelID },
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system: systemPrompt,
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parts: [{ type: 'text', text: userContent }],
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},
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{ headers }
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);
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return extractOpenCodeContent(resp.data);
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}
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export async function chat(systemPrompt, userContent) {
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const { provider, apiKeys, baseURL, model } = getLLMConfig();
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if (!provider) throw new Error('未設定任何 LLM API Key');
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line(`[LLM] provider=${provider} model=${model}`);
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const headers = { 'Content-Type': 'application/json' };
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if (provider === 'claude') headers['anthropic-version'] = '2023-06-01';
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const shuffled = [...apiKeys].sort(() => Math.random() - 0.5);
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for (let i = 0; i < shuffled.length; i++) {
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if (provider !== 'ollama' && provider !== 'opencode') headers['Authorization'] = `Bearer ${shuffled[i]}`;
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try {
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if (provider === 'opencode') {
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applyOpenCodeAuth(headers);
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return await chatOpenCode(baseURL, model, systemPrompt, userContent, headers);
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}
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const resp = await axios.post(
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chatEndpoint(baseURL, provider, model),
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chatPayload(provider, model, systemPrompt, userContent),
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{ headers }
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);
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return extractContent(provider, model, resp.data);
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} catch (e) {
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line(`[LLM] key[${i + 1}/${shuffled.length}] 失敗: ${e.message}`);
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}
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}
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error('[LLM] 所有 API Key 均失敗，終止流程');
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process.exit(1);
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}
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export async function chatJSON(systemPrompt, userContent) {
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const text = await chat(systemPrompt, userContent);
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try {
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return JSON.parse(text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim());
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} catch (e) {
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line(`[LLM] JSON 解析失敗: ${e.message}`);
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return [];
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}
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}
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