feat(opencode): 新增 OpenCode server provider 串接

app/llm.js

@@ -2,6 +2,81 @@ import axios from 'axios';
 import { getLLMConfig } from './config.js';
 import { line, error } from './log.js';
 
+function isOpenAIGpt55(provider, model) {
+  return provider === 'openai' && /^gpt-5\.5(?:-|$)/i.test(model || '');
+}
+
+function chatEndpoint(baseURL, provider, model) {
+  const base = baseURL.replace(/\/$/, '');
+  return isOpenAIGpt55(provider, model) ? `${base}/responses` : `${base}/chat/completions`;
+}
+
+function chatPayload(provider, model, systemPrompt, userContent) {
+  if (isOpenAIGpt55(provider, model)) {
+    return { model, instructions: systemPrompt, input: userContent, temperature: 0.2 };
+  }
+  return { model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 };
+}
+
+function extractContent(provider, model, data) {
+  if (!isOpenAIGpt55(provider, model)) return data.choices[0].message.content;
+  if (typeof data.output_text === 'string') return data.output_text;
+  const parts = data.output?.flatMap(item => item.content || []) || [];
+  const text = parts
+    .map(part => {
+      if (typeof part.text === 'string') return part.text;
+      if (typeof part.content === 'string') return part.content;
+      return '';
+    })
+    .filter(Boolean)
+    .join('');
+  if (text) return text;
+  return data.choices?.[0]?.message?.content || '';
+}
+
+function opencodeModelConfig(model) {
+  const [providerID, modelID] = model.includes('/') ? model.split('/', 2) : [process.env.OPENCODE_PROVIDER || 'google', model];
+  return { providerID, modelID };
+}
+
+function applyOpenCodeAuth(headers) {
+  const password = process.env.OPENCODE_SERVER_PASSWORD;
+  if (!password) return;
+  const username = process.env.OPENCODE_SERVER_USERNAME || 'opencode';
+  headers['Authorization'] = `Basic ${Buffer.from(`${username}:${password}`).toString('base64')}`;
+}
+
+function extractOpenCodeContent(data) {
+  const parts = data.parts || data.data?.parts || data.info?.content || data.data?.info?.content || [];
+  return parts
+    .map(part => part.text || part.content || '')
+    .filter(Boolean)
+    .join('');
+}
+
+async function chatOpenCode(baseURL, model, systemPrompt, userContent, headers) {
+  const base = baseURL.replace(/\/$/, '');
+  const { providerID, modelID } = opencodeModelConfig(model);
+  const session = await axios.post(
+    `${base}/session`,
+    { title: 'AI Code Review', model: { providerID, id: modelID } },
+    { headers }
+  );
+  const sessionID = session.data.id || session.data.data?.id;
+  if (!sessionID) throw new Error('OpenCode session 建立失敗：回應中沒有 session id');
+
+  const resp = await axios.post(
+    `${base}/session/${sessionID}/message`,
+    {
+      model: { providerID, modelID },
+      system: systemPrompt,
+      parts: [{ type: 'text', text: userContent }],
+    },
+    { headers }
+  );
+  return extractOpenCodeContent(resp.data);
+}
+
 export async function chat(systemPrompt, userContent) {
   const { provider, apiKeys, baseURL, model } = getLLMConfig();
   if (!provider) throw new Error('未設定任何 LLM API Key');
@@ -13,14 +88,18 @@ export async function chat(systemPrompt, userContent) {
 
   const shuffled = [...apiKeys].sort(() => Math.random() - 0.5);
   for (let i = 0; i < shuffled.length; i++) {
-    if (provider !== 'ollama') headers['Authorization'] = `Bearer ${shuffled[i]}`;
+    if (provider !== 'ollama' && provider !== 'opencode') headers['Authorization'] = `Bearer ${shuffled[i]}`;
     try {
+      if (provider === 'opencode') {
+        applyOpenCodeAuth(headers);
+        return await chatOpenCode(baseURL, model, systemPrompt, userContent, headers);
+      }
       const resp = await axios.post(
-        `${baseURL.replace(/\/$/, '')}/chat/completions`,
-        { model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 },
+        chatEndpoint(baseURL, provider, model),
+        chatPayload(provider, model, systemPrompt, userContent),
         { headers }
       );
-      return resp.data.choices[0].message.content;
+      return extractContent(provider, model, resp.data);
     } catch (e) {
       line(`[LLM] key[${i + 1}/${shuffled.length}] 失敗: ${e.message}`);
     }