test(llm): 補 extractMeaningfulError 測試

src/llm.js

@@ -39,10 +39,30 @@ function cliArgs({ provider, model, promptFile = null, prompt = null }) {
   throw new Error(`不支援的 AI 助理 CLI: ${provider}`);
 }
 
+/**
+ * 從 CLI 輸出中抽出「真正有意義的錯誤」。
+ *
+ * 像 codex 這類 CLI 會先印出一大段 banner（workdir/model/...）與回顯的 prompt，
+ * 真正的失敗原因（例如 401、token 失效、額度不足）通常落在**尾端**。直接取前段
+ * 會被 banner／prompt 洗掉，因此改為：先抽出看起來像錯誤的行；抽不到再退取尾段。
+ *
+ * @param {string} raw - CLI 的原始輸出（stderr 或 stdout）。
+ * @param {number} [limit=1000] - 回傳字串長度上限。
+ * @returns {string} 最能說明失敗原因的片段。
+ */
+export function extractMeaningfulError(raw, limit = 1000) {
+  const text = String(raw || '').trim();
+  const errorLines = text
+    .split('\n')
+    .filter(l => /\bERROR\b|error:|unauthorized|invalidated|revoked|forbidden|\b40[13]\b|rate.?limit|quota|insufficient/i.test(l));
+  const picked = (errorLines.length ? errorLines.join('\n') : text).trim();
+  return picked.length > limit ? picked.slice(-limit) : picked;
+}
+
 function summarizeCliError(e) {
   const stderr = String(e.stderr || '').trim();
   const stdout = String(e.stdout || '').trim();
-  return (stderr || stdout || e.message || String(e)).slice(0, 1000);
+  return extractMeaningfulError(stderr || stdout || e.message || String(e));
 }
 
 async function runAssistantCLI({ provider, command, model }, prompt) {

src/test/llm.test.js

@@ -3,7 +3,7 @@ import assert from 'node:assert/strict';
 import { mkdtemp, writeFile, chmod, rm, readFile } from 'fs/promises';
 import { tmpdir } from 'os';
 import { join } from 'path';
-import { extractBalancedJSON, extractJSONText } from '../llm.js';
+import { extractBalancedJSON, extractJSONText, extractMeaningfulError } from '../llm.js';
 
 const ENV_KEYS = [
   'AI_ASSISTANT_CLI', 'MODEL', 'OPENCODE_MODEL', 'PATH', 'AI_ASSISTANT_TIMEOUT_MS', 'AI_ASSISTANT_MAX_BUFFER',
@@ -237,3 +237,39 @@ describe('extractJSONText', () => {
     assert.equal(result, 'not json at all');
   });
 });
+
+describe('extractMeaningfulError', () => {
+  it('抽出尾端真正的錯誤，而非開頭的 codex banner／回顯 prompt', () => {
+    const raw = [
+      'OpenAI Codex v0.142.5',
+      '--------',
+      'workdir: /workspace/actions/ai-code-review',
+      'model: gpt-5.4-mini',
+      'reasoning effort: none',
+      '--------',
+      'user',
+      '請依照以下系統指示處理使用者內容，並只輸出要求的最終結果。',
+      'ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized',
+      'ERROR: Your access token could not be refreshed because your refresh token was revoked. Please log out and sign in again.',
+    ].join('\n');
+
+    const result = extractMeaningfulError(raw);
+
+    assert.match(result, /401 Unauthorized/);
+    assert.match(result, /refresh token was revoked/);
+    assert.doesNotMatch(result, /workdir:/);
+    assert.doesNotMatch(result, /請依照以下系統指示/);
+  });
+
+  it('抽不到錯誤行時退取尾段（不取開頭）', () => {
+    const raw = 'A'.repeat(1200) + '\nTAIL-CONTENT';
+    const result = extractMeaningfulError(raw, 100);
+    assert.ok(result.length <= 100);
+    assert.match(result, /TAIL-CONTENT$/);
+  });
+
+  it('容錯處理空輸入', () => {
+    assert.equal(extractMeaningfulError(''), '');
+    assert.equal(extractMeaningfulError(null), '');
+  });
+});