fix(llm): 強化 OpenCode JSON 回應解析

Reviewed-on: #14

.gitea/ai-review/findings.json

@@ -1,9 +1 @@
-[
-  {
-    "level": "warning",
-    "role": "Bard",
-    "location": "app/comments.test.js:172",
-    "suggestion": "此處斷言使用了魔術字串 `/嚴重問題/`，就像樂譜中突然出現的無標記音符，雖能理解，卻少了點優雅與明確。建議將此字串提取為一個具名常數，或至少賦予一個描述性變數，以提升可讀性與未來維護的便利性，讓意圖更加清晰。",
-    "is_new": true
-  }
-]
+[]

README.md

@@ -74,6 +74,14 @@ jobs:
       issues: write
 ```
 
+OpenAI GPT-5.5 會透過 Responses API 呼叫；設定方式仍使用 `OPENAI_*`：
+
+```yaml
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        OPENAI_BASE_URL: https://api.openai.com/v1
+        OPENAI_MODEL: gpt-5.5
+```
+
 ### 2. OpenRouter
 ```yaml
 name: AI
@@ -192,7 +200,54 @@ jobs:
       issues: write
 ```
 
-### 6. Ollama
+### 6. OpenCode Server
+```yaml
+name: AI
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref }}
+  cancel-in-progress: true
+on:
+  pull_request:
+    branches-ignore:
+    - master
+    types: [opened, synchronize]
+jobs:
+  code-review:
+    name: Code Review
+    runs-on: ubuntu
+    steps:
+    - name: AI Code Review
+      uses: https://gitea.jsc.idv.tw/actions/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
+      with:
+        GITEA_TOKEN: ${{ secrets.RUNNER_TOKEN }}
+        GITEA_COMMENT_TOKEN: ${{ secrets.GITEA_TOKEN }}
+        OPENCODE_BASE_URL: http://192.168.3.124:4096
+        OPENCODE_PROVIDER: google
+        OPENCODE_MODEL: gemini-2.5-flash
+        # 若 OpenCode server 有設定 OPENCODE_SERVER_PASSWORD，才需要提供：
+        # OPENCODE_SERVER_USERNAME: opencode
+        # OPENCODE_SERVER_PASSWORD: ${{ secrets.OPENCODE_SERVER_PASSWORD }}
+    permissions:
+      contents: write
+      pull-requests: write
+      issues: write
+```
+
+OpenCode Server 串接方式會呼叫 server root 的 `/session` 與 `/session/{sessionID}/message`，並把模型指定為 `providerID=google`、`modelID=gemini-2.5-flash`。可用的內部 OpenCode server：
+
+```yaml
+        OPENCODE_BASE_URL: https://opencode.jsc.idv.me
+```
+
+或：
+
+```yaml
+        OPENCODE_BASE_URL: http://192.168.3.124:4096
+```
+
+OpenCode server 本身必須已設定好 `google` provider 與 `gemini-2.5-flash` model；此 action 不會把 Google API key 傳給 OpenCode server。
+
+### 7. Ollama
 
 ```yaml
 name: AI

action.yaml

@@ -79,6 +79,23 @@ inputs:
     description: 'Amazon Q Base URL'
     required: false
 
+  # OpenCode Server
+  OPENCODE_BASE_URL:
+    description: 'OpenCode server Base URL'
+    required: false
+  OPENCODE_MODEL:
+    description: 'OpenCode model id'
+    required: false
+  OPENCODE_PROVIDER:
+    description: 'OpenCode server provider id'
+    required: false
+  OPENCODE_SERVER_USERNAME:
+    description: 'OpenCode server Basic Auth username'
+    required: false
+  OPENCODE_SERVER_PASSWORD:
+    description: 'OpenCode server Basic Auth password'
+    required: false
+
 runs:
   using: 'docker'
   image: 'Dockerfile'
@@ -107,3 +124,8 @@ runs:
     OLLAMA_MODEL: ${{ inputs.OLLAMA_MODEL }}
     AMAZONQ_API_KEY: ${{ inputs.AMAZONQ_API_KEY }}
     AMAZONQ_BASE_URL: ${{ inputs.AMAZONQ_BASE_URL }}
+    OPENCODE_BASE_URL: ${{ inputs.OPENCODE_BASE_URL }}
+    OPENCODE_MODEL: ${{ inputs.OPENCODE_MODEL }}
+    OPENCODE_PROVIDER: ${{ inputs.OPENCODE_PROVIDER }}
+    OPENCODE_SERVER_USERNAME: ${{ inputs.OPENCODE_SERVER_USERNAME }}
+    OPENCODE_SERVER_PASSWORD: ${{ inputs.OPENCODE_SERVER_PASSWORD }}

app/comments.test.js

@@ -163,6 +163,7 @@ describe('postNewCriticalComments', () => {
   });
 
   it('handles multiple criticals, posting inline where possible and degrading the rest', async () => {
+    const criticalCommentPattern = /嚴重問題/;
     const inlineCalls = [];
     const issueCalls = [];
     const findings = [
@@ -181,6 +182,6 @@ describe('postNewCriticalComments', () => {
     assert.equal(inlineCalls[0].path, 'app/a.js');
     assert.equal(inlineCalls[0].line, 10);
     assert.equal(issueCalls.length, 2);
-    assert.ok(issueCalls.every(b => /嚴重問題/.test(b)));
+    assert.ok(issueCalls.every(b => criticalCommentPattern.test(b)));
   });
 });

app/config.js

@@ -24,6 +24,7 @@ export function getLLMConfig() {
     ['gemini',   splitKeys(process.env.GEMINI_API_KEY),   process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta', process.env.GEMINI_MODEL || 'gemini-2.5-flash'],
     ['ollama',   ['ollama'],                               process.env.OLLAMA_BASE_URL,  process.env.OLLAMA_MODEL],
     ['amazonq',  splitKeys(process.env.AMAZONQ_API_KEY),  process.env.AMAZONQ_BASE_URL  || 'https://q.api.aws',              process.env.AMAZONQ_MODEL  || 'amazon-q'],
+    ['opencode', ['opencode'], process.env.OPENCODE_BASE_URL, process.env.OPENCODE_MODEL || 'gemini-2.5-flash'],
   ];
   for (const [provider, apiKeys, baseURL, model] of checks) {
     if (apiKeys.length > 0 && baseURL) return { provider, apiKeys, baseURL, model };

app/config.test.js

@@ -8,6 +8,8 @@ const ENV_KEYS = [
   'GEMINI_API_KEY', 'GEMINI_BASE_URL', 'GEMINI_MODEL',
   'OLLAMA_BASE_URL', 'OLLAMA_MODEL',
   'AMAZONQ_API_KEY', 'AMAZONQ_BASE_URL', 'AMAZONQ_MODEL',
+  'OPENCODE_BASE_URL', 'OPENCODE_MODEL', 'OPENCODE_PROVIDER',
+  'OPENCODE_SERVER_USERNAME', 'OPENCODE_SERVER_PASSWORD',
 ];
 
 let saved = {};
@@ -84,6 +86,24 @@ describe('getLLMConfig', () => {
     assert.equal(cfg.model, 'my-amazon-model');
   });
 
+  it('detects opencode server with gemini defaults', () => {
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'opencode');
+    assert.deepEqual(cfg.apiKeys, ['opencode']);
+    assert.equal(cfg.baseURL, 'http://opencode.local:4096');
+    assert.equal(cfg.model, 'gemini-2.5-flash');
+  });
+
+  it('detects opencode server with custom model', () => {
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    process.env.OPENCODE_MODEL = 'google/gemini-2.5-pro';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'opencode');
+    assert.equal(cfg.baseURL, 'http://opencode.local:4096');
+    assert.equal(cfg.model, 'google/gemini-2.5-pro');
+  });
+
   it('openai takes priority over gemini when both set', () => {
     process.env.OPENAI_API_KEY = 'sk-test';
     process.env.GEMINI_API_KEY = 'gemini-key';

app/git.js

@@ -203,6 +203,10 @@ export async function mergeInstructionText(existingText, sourceText, relPath, ai
 
   try {
     const aiMerged = await aiMergeAssistant({ relPath, existingText, sourceText, deterministicText: deterministic, requiredBlocks });
+    if (aiMerged == null) {
+      warn(`[merge] ${relPath} AI result unavailable; using deterministic merge`);
+      return deterministic;
+    }
     if (typeof aiMerged === 'string' && validateMergedInstructionText(aiMerged, requiredBlocks)) {
       return normalizeText(aiMerged) === normalizeText(existingText) ? existingText : aiMerged;
     }

app/git.test.js

@@ -211,6 +211,15 @@ describe('commitAndPush', () => {
     assert.ok(result.includes('extra block'));
   });
 
+  it('uses deterministic instruction merge when AI returns no usable result', async () => {
+    const aiMergeAssistant = async () => null;
+
+    const result = await mergeInstructionText('repo block', 'source block', 'AGENTS.md', aiMergeAssistant);
+
+    assert.ok(result.includes('repo block'));
+    assert.ok(result.includes('source block'));
+  });
+
   it('exits when AI output drops a block', async () => {
     const originalExit = process.exit;
     let exitCode = null;

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: ${e.message}`);
     }
@@ -32,9 +111,69 @@ export async function chat(systemPrompt, userContent) {
 export async function chatJSON(systemPrompt, userContent) {
   const text = await chat(systemPrompt, userContent);
   try {
-    return JSON.parse(text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim());
+    return JSON.parse(extractJSONText(text));
   } catch (e) {
     line(`[LLM] JSON 解析失敗: ${e.message}`);
     return [];
   }
 }
+
+function stripOuterFence(text) {
+  return String(text)
+    .trim()
+    .replace(/^```[a-zA-Z0-9_-]*\n?/, '')
+    .replace(/```$/, '')
+    .trim();
+}
+
+function extractBalancedJSON(text, startIndex) {
+  const source = String(text);
+  const open = source[startIndex];
+  const close = open === '{' ? '}' : ']';
+  let depth = 0;
+  let inString = false;
+  let escaped = false;
+
+  for (let i = startIndex; i < source.length; i++) {
+    const ch = source[i];
+    if (inString) {
+      if (escaped) {
+        escaped = false;
+      } else if (ch === '\\') {
+        escaped = true;
+      } else if (ch === '"') {
+        inString = false;
+      }
+      continue;
+    }
+    if (ch === '"') {
+      inString = true;
+      continue;
+    }
+    if (ch === open) depth += 1;
+    else if (ch === close) {
+      depth -= 1;
+      if (depth === 0) return source.slice(startIndex, i + 1);
+    }
+  }
+  return null;
+}
+
+function extractJSONText(text) {
+  const stripped = stripOuterFence(text);
+  try {
+    JSON.parse(stripped);
+    return stripped;
+  } catch {}
+
+  for (let i = 0; i < stripped.length; i++) {
+    if (stripped[i] !== '[' && stripped[i] !== '{') continue;
+    const candidate = extractBalancedJSON(stripped, i);
+    if (!candidate) continue;
+    try {
+      JSON.parse(candidate);
+      return candidate;
+    } catch {}
+  }
+  return stripped;
+}

app/llm.test.js

@@ -10,6 +10,8 @@ const ENV_KEYS = [
   'CLAUDE_API_KEY', 'CLAUDE_BASE_URL', 'CLAUDE_MODEL',
   'OLLAMA_BASE_URL', 'OLLAMA_MODEL',
   'AMAZONQ_API_KEY', 'AMAZONQ_BASE_URL', 'AMAZONQ_MODEL',
+  'OPENCODE_BASE_URL', 'OPENCODE_MODEL', 'OPENCODE_PROVIDER',
+  'OPENCODE_SERVER_USERNAME', 'OPENCODE_SERVER_PASSWORD',
 ];
 
 let saved = {};
@@ -125,6 +127,68 @@ describe('chat - key rotation', async () => {
     await chat('sys', 'user');
     assert.equal(capturedHeaders['anthropic-version'], '2023-06-01');
   });
+
+  it('uses OpenCode server session API for opencode', async () => {
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    process.env.OPENCODE_PROVIDER = 'google';
+    process.env.OPENCODE_MODEL = 'gemini-2.5-flash';
+    const calls = [];
+    mock.method(axios, 'post', async (url, payload, opts) => {
+      calls.push({ url, payload, headers: opts.headers });
+      if (url.endsWith('/session')) return { data: { id: 'ses_test' } };
+      return { data: { parts: [{ type: 'text', text: 'opencode response' }] } };
+    });
+    const result = await chat('sys', 'user');
+    assert.equal(result, 'opencode response');
+    assert.equal(calls[0].url, 'http://opencode.local:4096/session');
+    assert.deepEqual(calls[0].payload.model, { providerID: 'google', id: 'gemini-2.5-flash' });
+    assert.equal(calls[1].url, 'http://opencode.local:4096/session/ses_test/message');
+    assert.deepEqual(calls[1].payload.model, { providerID: 'google', modelID: 'gemini-2.5-flash' });
+    assert.equal(calls[1].payload.system, 'sys');
+    assert.deepEqual(calls[1].payload.parts, [{ type: 'text', text: 'user' }]);
+    assert.equal(calls[1].headers['Authorization'], undefined);
+  });
+
+  it('uses Basic Auth for protected OpenCode server', async () => {
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    process.env.OPENCODE_SERVER_USERNAME = 'opencode';
+    process.env.OPENCODE_SERVER_PASSWORD = 'secret';
+    const headers = [];
+    mock.method(axios, 'post', async (url, _payload, opts) => {
+      headers.push(opts.headers);
+      if (url.endsWith('/session')) return { data: { id: 'ses_test' } };
+      return { data: { parts: [{ type: 'text', text: 'ok' }] } };
+    });
+    await chat('sys', 'user');
+    assert.equal(headers[0]['Authorization'], `Basic ${Buffer.from('opencode:secret').toString('base64')}`);
+  });
+
+  it('uses Responses API for openai GPT-5.5', async () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.OPENAI_MODEL = 'GPT-5.5';
+    let capturedUrl, capturedPayload;
+    mock.method(axios, 'post', async (url, payload) => {
+      capturedUrl = url;
+      capturedPayload = payload;
+      return { data: { output_text: 'gpt response' } };
+    });
+    const result = await chat('sys', 'user');
+    assert.equal(result, 'gpt response');
+    assert.equal(capturedUrl, 'https://api.openai.com/v1/responses');
+    assert.deepEqual(capturedPayload, { model: 'GPT-5.5', instructions: 'sys', input: 'user', temperature: 0.2 });
+  });
+
+  it('extracts opencode text from message parts', async () => {
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    let calls = 0;
+    mock.method(axios, 'post', async () => {
+      calls += 1;
+      if (calls === 1) return { data: { id: 'ses_test' } };
+      return { data: { parts: [{ type: 'text', text: 'hello' }, { type: 'text', text: ' world' }] } };
+    });
+    const result = await chat('sys', 'user');
+    assert.equal(result, 'hello world');
+  });
 });
 
 describe('chatJSON', async () => {
@@ -144,6 +208,20 @@ describe('chatJSON', async () => {
     assert.deepEqual(result, [{ level: 'info' }]);
   });
 
+  it('extracts JSON array from surrounding prose', async () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    mockAxiosPost([makeOkResponse('**Reviewing findings**\n\n[{"level":"warning","suggestion":"x"}]\n\nDone.')]);
+    const result = await chatJSON('sys', 'user');
+    assert.deepEqual(result, [{ level: 'warning', suggestion: 'x' }]);
+  });
+
+  it('extracts JSON object from surrounding prose', async () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    mockAxiosPost([makeOkResponse('**Begin Combine**\n{"merged_text":"repo block\\n\\nsource block"}')]);
+    const result = await chatJSON('sys', 'user');
+    assert.deepEqual(result, { merged_text: 'repo block\n\nsource block' });
+  });
+
   it('returns [] when JSON is invalid', async () => {
     process.env.OPENAI_API_KEY = 'sk-test';
     mockAxiosPost([makeOkResponse('not json')]);

app/preflight.js

@@ -15,6 +15,17 @@ import { step, line, ok, error } from './log.js';
 const httpsAgent = GITEA_SKIP_TLS_VERIFY ? new https.Agent({ rejectUnauthorized: false }) : undefined;
 const api = (path) => `${GITEA_SERVER_URL.replace(/\/$/, '')}/api/v1${path}`;
 const giteaHeaders = (token) => ({ Authorization: `token ${token}`, 'Content-Type': 'application/json' });
+const usesResponsesApi = (provider, model) => provider === 'openai' && /^gpt-5\.5(?:-|$)/i.test(model || '');
+const opencodeModelConfig = (model) => {
+  const [providerID, modelID] = model.includes('/') ? model.split('/', 2) : [process.env.OPENCODE_PROVIDER || 'google', model];
+  return { providerID, modelID };
+};
+const 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 giteaErr(e) {
   const status = e.response?.status;
@@ -63,6 +74,7 @@ export async function verifyLLM() {
   if (!baseURL) return { ok: false, provider, error: `${provider} 缺少 base URL` };
 
   const base = baseURL.replace(/\/$/, '');
+  const headers = { 'Content-Type': 'application/json' };
 
   if (provider === 'ollama') {
     try {
@@ -73,14 +85,31 @@ export async function verifyLLM() {
     }
   }
 
-  const headers = { 'Content-Type': 'application/json' };
+  if (provider === 'opencode') {
+    const { providerID, modelID } = opencodeModelConfig(model);
+    applyOpenCodeAuth(headers);
+    try {
+      await axios.get(`${base}/global/health`, { headers, timeout: 30000 });
+      const providers = await axios.get(`${base}/config/providers`, { headers, timeout: 30000 });
+      const configuredProvider = providers.data.providers?.find(p => p.id === providerID);
+      if (!configuredProvider) return { ok: false, provider, error: `OpenCode server 未設定 provider=${providerID}` };
+      if (!configuredProvider.models?.[modelID]) return { ok: false, provider, error: `OpenCode server provider=${providerID} 未列出 model=${modelID}` };
+      return { ok: true, provider };
+    } catch (e) {
+      return { ok: false, provider, error: `OpenCode server 驗證失敗: ${e.message}` };
+    }
+  }
+
   if (provider === 'claude') headers['anthropic-version'] = '2023-06-01';
-  const payload = { model, messages: [{ role: 'user', content: 'ping' }], max_tokens: 1, temperature: 0 };
+  const endpoint = usesResponsesApi(provider, model) ? `${base}/responses` : `${base}/chat/completions`;
+  const payload = usesResponsesApi(provider, model)
+    ? { model, input: 'ping', max_output_tokens: 1, temperature: 0 }
+    : { model, messages: [{ role: 'user', content: 'ping' }], max_tokens: 1, temperature: 0 };
 
   for (let i = 0; i < apiKeys.length; i++) {
     headers['Authorization'] = `Bearer ${apiKeys[i]}`;
     try {
-      await axios.post(`${base}/chat/completions`, payload, { headers, timeout: 30000 });
+      await axios.post(endpoint, payload, { headers, timeout: 30000 });
       return { ok: true, provider, keyIndex: i + 1, total: apiKeys.length };
     } catch (e) {
       line(`[preflight] LLM key[${i + 1}/${apiKeys.length}] 驗證失敗: ${e.message}`);

app/preflight.test.js

@@ -9,6 +9,8 @@ const LLM_ENV_KEYS = [
   'GEMINI_API_KEY', 'GEMINI_BASE_URL', 'GEMINI_MODEL',
   'OLLAMA_BASE_URL', 'OLLAMA_MODEL',
   'AMAZONQ_API_KEY', 'AMAZONQ_BASE_URL', 'AMAZONQ_MODEL',
+  'OPENCODE_BASE_URL', 'OPENCODE_MODEL', 'OPENCODE_PROVIDER',
+  'OPENCODE_SERVER_USERNAME', 'OPENCODE_SERVER_PASSWORD',
 ];
 
 function clearLLMEnv() {
@@ -163,6 +165,41 @@ describe('verifyLLM', () => {
     assert.equal(capturedHeaders['anthropic-version'], '2023-06-01');
   });
 
+  it('checks opencode server provider and model', async () => {
+    clearLLMEnv();
+    process.env.OPENCODE_BASE_URL = 'http://opencode.local:4096';
+    process.env.OPENCODE_PROVIDER = 'google';
+    process.env.OPENCODE_MODEL = 'gemini-2.5-flash';
+    const urls = [];
+    mock.method(axios, 'get', async (url) => {
+      urls.push(url);
+      if (url.endsWith('/global/health')) return { data: { healthy: true, version: '1.17.7' } };
+      return { data: { providers: [{ id: 'google', models: { 'gemini-2.5-flash': { id: 'gemini-2.5-flash' } } }] } };
+    });
+    const result = await verifyLLM();
+    assert.equal(result.ok, true);
+    assert.equal(result.provider, 'opencode');
+    assert.deepEqual(urls, ['http://opencode.local:4096/global/health', 'http://opencode.local:4096/config/providers']);
+  });
+
+  it('checks openai GPT-5.5 with Responses API', async () => {
+    clearLLMEnv();
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.OPENAI_MODEL = 'GPT-5.5';
+    let capturedUrl, capturedPayload;
+    mock.method(axios, 'post', async (url, payload) => {
+      capturedUrl = url;
+      capturedPayload = payload;
+      return { data: { output_text: 'o' } };
+    });
+    const result = await verifyLLM();
+    assert.equal(result.ok, true);
+    assert.equal(result.provider, 'openai');
+    assert.equal(capturedUrl, 'https://api.openai.com/v1/responses');
+    assert.equal(capturedPayload.model, 'GPT-5.5');
+    assert.equal(capturedPayload.max_output_tokens, 1);
+  });
+
   it('checks base URL connectivity for ollama (no key)', async () => {
     clearLLMEnv();
     process.env.OLLAMA_BASE_URL = 'http://ollama.local/v1';