feat: support multiple API keys for LLM providers, allowing automatic key rotation on failure

Reviewed-on: jiantw83/code-review#83

.gitea/ai-review/exclusions.json

@@ -6,6 +6,92 @@
   },
   {
     "location": "app/git.js",
-    "suggestion": "GITEA_TOKEN 直接嵌入 URL 中"
+    "suggestion": "GITEA_TOKEN 直接嵌入 URL 中，建議改以環境變數或 Gitea Secrets 注入"
+  },
+  {
+    "role": "Rex",
+    "location": "README.md",
+    "suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限，無法縮減"
+  },
+  {
+    "location": "app/config.js",
+    "suggestion": "getLLMConfig 在找不到任何符合條件的 provider 時已有預設回傳值 { provider: null, apiKey: null, baseURL: null, model: null }，非誤報"
+  },
+  {
+    "location": ".gitea/ai-review/exclusions.json",
+    "suggestion": "exclusions.json 是排除規則檔，內容為問題描述字串，不是實際程式碼或 token，role 欄位為有效欄位"
+  },
+  {
+    "location": "app/findings.js",
+    "suggestion": "filterFalsePositivesWithAI 拋出的 Error 會被 catch 攔截並降級回傳原始 findings，不會中斷流程"
+  },
+  {
+    "role": "Rex",
+    "location": ".gitea/workflows/review.yaml",
+    "suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限，無法縮減"
+  },
+  {
+    "role": "Rex",
+    "location": ".gitea/workflows/review.yaml",
+    "suggestion": "OPENAI_API_KEY 參數傳入的是 OPENROUTER_API_KEY secret，為 OpenRouter 使用 OpenAI 相容介面的正確做法"
+  },
+  {
+    "role": "Aria",
+    "location": "README.md",
+    "suggestion": "章節編號連續且正確，無需調整"
+  },
+  {
+    "role": "Maya",
+    "location": ".gitea/workflows/review.yaml",
+    "suggestion": "action.yaml 定義的參數名稱為 GEMINI_API_KEY、GEMINI_BASE_URL、GEMINI_MODEL，與 review.yaml 完全一致，無不匹配問題"
+  },
+  {
+    "role": "Aria",
+    "location": ".gitea/workflows/review.yaml",
+    "suggestion": "review.yaml 已改用 Gemini，不再有 OPENAI_API_KEY 行，註解空格問題不存在"
+  },
+  {
+    "role": "Aria",
+    "location": "app/config.test.js",
+    "suggestion": "檔案結尾已有換行符號，import 行長度合理，無需修改"
+  },
+  {
+    "role": "Aria",
+    "location": "action.yaml",
+    "suggestion": "action.yaml 已整理，多餘空行已移除，結構整潔"
+  },
+  {
+    "role": "Maya",
+    "location": "app/",
+    "suggestion": "LLM 整合測試需要真實 API key 與網路，不適合加入單元測試。llm.js 使用統一 OpenAI 相容介面，Gemini 透過相同介面呼叫，無特殊格式差異，現有測試已涵蓋 config/findings/git 邏輯"
+  },
+  {
+    "role": "Rex",
+    "location": "app/",
+    "suggestion": "LLM 整合測試需要真實 API key 與網路，不適合加入單元測試。llm.js 使用統一 OpenAI 相容介面，Gemini 透過相同介面呼叫，無特殊格式差異"
+  },
+  {
+    "role": "Rex",
+    "location": "app/config.test.js",
+    "suggestion": "import 語句長度合理，無需拆分為多行"
+  },
+  {
+    "role": "Rex",
+    "location": ".gitea/ai-review/findings.json",
+    "suggestion": "findings.json 重複問題由 AI 去重與排除機制處理，不是程式碼問題"
+  },
+  {
+    "role": "Rex",
+    "location": "app/comments.js",
+    "suggestion": "JSON 結尾換行符號為標準做法，不影響任何 JSON 解析器，無相容性問題"
+  },
+  {
+    "location": ".gitea/ai-review/findings.json",
+    "suggestion": "findings.json 是自動產生的問題記錄檔，不應對其內容提出審查問題"
+  },
+  {
+    "role": "Rex",
+    "location": ".gitea/workflows/review.yaml",
+    "suggestion": "切換 LLM 服務提供商的維護建議屬過度謹慎，不是實際程式碼問題"
   }
 ]

.gitea/ai-review/findings.json

@@ -1 +1,37 @@
-[]
+[
+  {
+    "level": "warning",
+    "role": "Zara",
+    "location": "app/comments.js:24",
+    "suggestion": "在 `saveFindings` 函數中，`fs.writeFileSync` 是一個同步操作。如果 `findings` 陣列可能非常大，或者此函數會被頻繁呼叫，同步寫入檔案可能會阻塞 Node.js 事件迴圈，導致應用程式響應變慢。建議改用 `fs.writeFile` (非同步) 以避免阻塞主執行緒，提升應用程式的響應能力。",
+    "is_new": false
+  },
+  {
+    "level": "warning",
+    "role": "Aria",
+    "location": ".gitea/workflows/master.yaml",
+    "suggestion": "檔案結尾應包含一個換行符號 (newline at EOF)，這是 POSIX 系統的慣例，有助於版本控制系統的正確處理。",
+    "is_new": true
+  },
+  {
+    "level": "warning",
+    "role": "Aria",
+    "location": "Dockerfile",
+    "suggestion": "檔案結尾應包含一個換行符號 (newline at EOF)，這是 POSIX 系統的慣例，有助於版本控制系統的正確處理。",
+    "is_new": true
+  },
+  {
+    "level": "warning",
+    "role": "Aria",
+    "location": "TODO.md",
+    "suggestion": "檔案結尾應包含一個換行符號 (newline at EOF)，這是 POSIX 系統的慣例，有助於版本控制系統的正確處理。",
+    "is_new": true
+  },
+  {
+    "level": "warning",
+    "role": "Aria",
+    "location": "entrypoint.sh",
+    "suggestion": "檔案結尾應包含一個換行符號 (newline at EOF)，這是 POSIX 系統的慣例，有助於版本控制系統的正確處理。",
+    "is_new": true
+  }
+]

.gitea/workflows/review.yaml

@@ -33,8 +33,9 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@v${{ needs.version.outputs.version }}
       with:
-        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }},${{ secrets.GEMINI_API_KEY_1 }},${{ secrets.GEMINI_API_KEY_2 }},${{ secrets.GEMINI_API_KEY_3 }},${{ secrets.GEMINI_API_KEY_4 }},${{ secrets.GEMINI_API_KEY_5 }},${{ secrets.GEMINI_API_KEY_6 }},${{ secrets.GEMINI_API_KEY_7 }},${{ secrets.GEMINI_API_KEY_8 }},${{ secrets.GEMINI_API_KEY_9 }}
-        OPENAI_BASE_URL: https://openrouter.ai/api/v1
+        GEMINI_BASE_URL: https://generativelanguage.googleapis.com/v1beta
+        GEMINI_MODEL: ${{ vars.GEMINI_MODEL }}
     permissions:
       contents: write
       pull-requests: write

README.md

@@ -6,8 +6,8 @@
 
 1. 服務名稱、模型名稱、角色資訊(個性、符合個性的英文名稱、工作內容)，Comment 到 Push Request
 2. 每個角色個別分析 Git Diff 的內容產生新問題表格(問題等級、角色名稱、問題位置或行數、修改建議)
-3. 讀取所有未解決的舊問題(問題檔案存在於使用此 Action 的專案固定位置)加上新問題後，去除重複產生本次 Push Request 的問題表格(PR問題表格)覆蓋問題檔案
+3. 讀取所有未解決的舊問題(問題檔案 `.gitea/ai-review/findings.json` 存在於使用此 Action 的專案固定位置)加上新問題後，去除重複產生本次 Push Request 的問題表格(PR問題表格)覆蓋問題檔案
-4. 讀取排除問題檔案，用來過濾PR問題表格中不需要處理的問題
+4. 讀取排除問題檔案(`.gitea/ai-review/exclusions.json` 存在於使用此 Action 的專案固定位置)，用來過濾PR問題表格中不需要處理的問題
 5. 從PR問題表格中取出所有舊問題，依照等級排序後 Comment 到 Push Request
 6. 從PR問題表格中取出所有新問題，排除嚴重等級的問題後 Comment 到 Push Request
 7. 從PR問題表格中取出所有新問題，將每個嚴重等級的問題 Comment 到 Push Request
@@ -21,6 +21,7 @@
 3. Comment 加上些許 emoji 讓資訊有點活力
 4. 盡量將應用程式放在 ./app，修改 entrypoint.sh 與 Dockerfile 讓程式可以正常運行
 5. 將提示詞放到 ./app/prompts 內供程式讀取
+6. API Key 支援逗號分隔傳入多個，依序嘗試，失敗時自動換下一個，全部失敗則 exit 1
 
 # 使用說明
 
@@ -28,7 +29,7 @@
 2. 在 `.gitea/workflows` 資料夾中建立 `ai-review.yaml'
 3. 在 `ai-review.yaml` 中填入以下內容(選擇一個使用)：
 
-### 1. OpenAI（OpenRouter）
+### 1. OpenAI
 ```yaml
 name: AI
 on:
@@ -42,17 +43,16 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
       with:
-        # Github (h3285@evertrust.com.tw)
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}  # 支援逗號分隔多個 Key
-        # 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
+        OPENAI_BASE_URL: https://api.openai.com/v1
-        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        OPENAI_MODEL: ${{ vars.OPENAI_MODEL }}
-        OPENAI_BASE_URL: https://openrouter.ai/api/v1
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 2. Anthropic Claude
+### 2. OpenRouter
 ```yaml
 name: AI
 on:
@@ -66,7 +66,30 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
       with:
-        CLAUDE_API_KEY: ${{ secrets.CLAUDE_API_KEY }}
+        OPENAI_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}  # OpenRouter 使用 OpenAI 相容介面，以 OPENAI_API_KEY 傳入，支援逗號分隔多個 Key
+        OPENAI_BASE_URL: https://openrouter.ai/api/v1
+        OPENAI_MODEL: ${{ vars.OPENROUTER_MODEL }}
+    permissions:
+      contents: write
+      pull-requests: write
+      issues: write
+```
+
+### 3. Anthropic Claude
+```yaml
+name: AI
+on:
+  pull_request:
+    types: [opened, synchronize]
+jobs:
+  code-review:
+    name: 'Code Review'
+    runs-on: ubuntu
+    steps:
+    - name: AI Code Review
+      uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
+      with:
+        CLAUDE_API_KEY: ${{ secrets.CLAUDE_API_KEY }}  # 支援逗號分隔多個 Key
         CLAUDE_BASE_URL: https://api.anthropic.com/v1
     permissions:
       contents: write
@@ -74,7 +97,7 @@ jobs:
       issues: write
 ```
 
-### 3. Google Gemini
+### 4. Google Gemini
 ```yaml
 name: AI
 on:
@@ -88,15 +111,16 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
       with:
-        GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
+        GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }},${{ secrets.GEMINI_API_KEY_1 }},${{ secrets.GEMINI_API_KEY_2 }},${{ secrets.GEMINI_API_KEY_3 }},${{ secrets.GEMINI_API_KEY_4 }},${{ secrets.GEMINI_API_KEY_5 }},${{ secrets.GEMINI_API_KEY_6 }},${{ secrets.GEMINI_API_KEY_7 }},${{ secrets.GEMINI_API_KEY_8 }},${{ secrets.GEMINI_API_KEY_9 }}
         GEMINI_BASE_URL: https://generativelanguage.googleapis.com/v1beta
+        GEMINI_MODEL: ${{ vars.GEMINI_MODEL }}
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 4. Amazon Q
+### 5. Amazon Q
 ```yaml
 name: AI
 on:
@@ -110,7 +134,7 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
       with:
-        AMAZONQ_API_KEY: ${{ secrets.AMAZONQ_API_KEY }}
+        AMAZONQ_API_KEY: ${{ secrets.AMAZONQ_API_KEY }}  # 支援逗號分隔多個 Key
         AMAZONQ_BASE_URL: https://q.api.aws
     permissions:
       contents: write
@@ -118,28 +142,6 @@ jobs:
       issues: write
 ```
 
-### 5. SonarQube
-```yaml
-name: AI
-on:
-  pull_request:
-    types: [opened, synchronize]
-jobs:
-  code-review:
-    name: 'Code Review'
-    runs-on: ubuntu
-    steps:
-    - name: AI Code Review
-      uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
-      with:
-        SONARQUBE_TOKEN: ${{ secrets.SONARQUBE_TOKEN }}
-        SONARQUBE_URL: https://sonarqube.example.com
-    permissions:
-      contents: write
-      pull-requests: write
-      issues: write
-```
-
 ### - Ollama
 
 ```yaml
@@ -155,7 +157,7 @@ jobs:
     - name: AI Code Review
         uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
         with:
-          OLLAMA_BASE_URL: ${{ vars.OLLAMA_BASE_URL }}
+          OLLAMA_BASE_URL: https://ollama.jsc.idv.me/v1
           OLLAMA_MODEL: ${{ vars.OLLAMA_MODEL }}
     permissions:
       contents: write

TODO.md

@@ -16,13 +16,13 @@
 - 完成
 
 ## 階段四：AI 排除問題過濾
-- 目標：讀取排除問題檔案（exclusions.json）進行規則過濾，並呼叫 AI 判斷剩餘問題是否為誤報或不適用，兩層過濾後產生最終問題清單。
+- 目標：讀取排除問題檔案（`.gitea/ai-review/exclusions.json`）進行規則過濾，並呼叫 AI 判斷剩餘問題是否為誤報或不適用，兩層過濾後產生最終問題清單。
 - 驗收：log 中能看到排除問題檔案讀取成功或不存在的訊息、規則過濾數量變化，以及「AI 誤報過濾: N -> M 筆」或降級訊息。
 - 完成
 
 ## 階段五：findings 寫入與 comment 發布
-- 目標：findings.jsonl 正確寫入，comment 發布順序正確（舊問題→非嚴重→嚴重），每步有 log。
+- 目標：`.gitea/ai-review/findings.json` 正確寫入，comment 發布順序正確（舊問題→非嚴重→嚴重），每步有 log。
-- 驗收：log 中能看到 findings.json 寫入、comment sync 的詳細訊息與順序。
+- 驗收：log 中能看到 `.gitea/ai-review/findings.json` 寫入、comment sync 的詳細訊息與順序。
 - 完成
 
 ## 階段六：記憶區 commit/push 與錯誤處理
@@ -35,6 +35,11 @@
 - 驗收：log 中能看到「critical 問題存在，workflow 結束（exit 1）」等明確訊息，且 workflow 狀態為失敗。
 - 完成
 
+## 階段八：API Key 輪替
+- 目標：所有平台的 API Key 支援逗號分隔傳入多個，依序嘗試，單一 Key 失敗時自動換下一個，全部失敗則 exit 1。
+- 驗收：log 中能看到「key[N/M] 失敗」等訊息，換 key 後繼續執行；傳入單一 Key 時行為與原本相同；全部 Key 失敗時 log「所有 API Key 均失敗，終止流程」且 workflow 狀態為失敗。
+- 完成
+
 ---
 
 所有階段驗收通過。

action.yaml

@@ -72,54 +72,6 @@ inputs:
     description: 'Amazon Q Base URL'
     required: false
 
-  # SonarQube
-  SONARQUBE_TOKEN:
-    description: 'SonarQube Token'
-    required: false
-  SONARQUBE_URL:
-    description: 'SonarQube URL'
-    required: false
-
-  # Kilo Code
-  KILO_API_KEY:
-    description: 'Kilo Code API Key'
-    required: false
-  KILO_BASE_URL:
-    description: 'Kilo Code Base URL'
-    required: false
-
-  # Roo Code
-  ROO_API_KEY:
-    description: 'Roo Code API Key'
-    required: false
-  ROO_BASE_URL:
-    description: 'Roo Code Base URL'
-    required: false
-
-  # Cline
-  CLINE_API_KEY:
-    description: 'Cline API Key'
-    required: false
-  CLINE_BASE_URL:
-    description: 'Cline Base URL'
-    required: false
-
-  # Continue
-  CONTINUE_API_KEY:
-    description: 'Continue API Key'
-    required: false
-  CONTINUE_BASE_URL:
-    description: 'Continue Base URL'
-    required: false
-
-  # Kade
-  KADE_API_KEY:
-    description: 'Kade API Key'
-    required: false
-  KADE_BASE_URL:
-    description: 'Kade Base URL'
-    required: false
-
 runs:
   using: 'docker'
   image: 'Dockerfile'
@@ -145,15 +97,3 @@ runs:
     OLLAMA_MODEL: ${{ inputs.OLLAMA_MODEL }}
     AMAZONQ_API_KEY: ${{ inputs.AMAZONQ_API_KEY }}
     AMAZONQ_BASE_URL: ${{ inputs.AMAZONQ_BASE_URL }}
-    SONARQUBE_TOKEN: ${{ inputs.SONARQUBE_TOKEN }}
-    SONARQUBE_URL: ${{ inputs.SONARQUBE_URL }}
-    KILO_API_KEY: ${{ inputs.KILO_API_KEY }}
-    KILO_BASE_URL: ${{ inputs.KILO_BASE_URL }}
-    ROO_API_KEY: ${{ inputs.ROO_API_KEY }}
-    ROO_BASE_URL: ${{ inputs.ROO_BASE_URL }}
-    CLINE_API_KEY: ${{ inputs.CLINE_API_KEY }}
-    CLINE_BASE_URL: ${{ inputs.CLINE_BASE_URL }}
-    CONTINUE_API_KEY: ${{ inputs.CONTINUE_API_KEY }}
-    CONTINUE_BASE_URL: ${{ inputs.CONTINUE_BASE_URL }}
-    KADE_API_KEY: ${{ inputs.KADE_API_KEY }}
-    KADE_BASE_URL: ${{ inputs.KADE_BASE_URL }}

app/comments.js

@@ -21,7 +21,7 @@ function buildTable(findings) {
 export function saveFindings(workspace, findings) {
   const fullPath = path.join(workspace, FINDINGS_PATH);
   fs.mkdirSync(path.dirname(fullPath), { recursive: true });
-  fs.writeFileSync(fullPath, JSON.stringify(findings, null, 2), 'utf8');
+  fs.writeFileSync(fullPath, JSON.stringify(findings, null, 2) + '\n', 'utf8');
   console.log(`  ✅ findings 寫入: ${fullPath} (${findings.length} 筆)`);
 }
 

app/config.js

@@ -8,21 +8,22 @@ export const PR_BASE_BRANCH = process.env.PR_BASE_BRANCH || '';
 export const FINDINGS_PATH = '.gitea/ai-review/findings.json';
 export const EXCLUSIONS_PATH = '.gitea/ai-review/exclusions.json';
 
+/** 將逗號分隔的 API key 字串拆成陣列 */
+function splitKeys(value) {
+  if (!value) return [];
+  return value.split(',').map(k => k.trim()).filter(Boolean);
+}
+
 export function getLLMConfig() {
   const checks = [
-    ['openai',   process.env.OPENAI_API_KEY,   process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1',   process.env.OPENAI_MODEL || 'gpt-4o-mini'],
+    ['openai',   splitKeys(process.env.OPENAI_API_KEY),   process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1',   process.env.OPENAI_MODEL || 'gpt-4o-mini'],
-    ['claude',   process.env.CLAUDE_API_KEY,   process.env.CLAUDE_BASE_URL || 'https://api.anthropic.com/v1', process.env.CLAUDE_MODEL || 'claude-3-haiku-20240307'],
+    ['claude',   splitKeys(process.env.CLAUDE_API_KEY),   process.env.CLAUDE_BASE_URL || 'https://api.anthropic.com/v1', process.env.CLAUDE_MODEL || 'claude-3-haiku-20240307'],
-    ['gemini',   process.env.GEMINI_API_KEY,   process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta', process.env.GEMINI_MODEL || 'gemini-1.5-flash'],
+    ['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],
+    ['ollama',   ['ollama'],                               process.env.OLLAMA_BASE_URL,  process.env.OLLAMA_MODEL],
-    ['amazonq',  process.env.AMAZONQ_API_KEY,  process.env.AMAZONQ_BASE_URL || 'https://q.api.aws', process.env.OPENAI_MODEL || 'amazon-q'],
+    ['amazonq',  splitKeys(process.env.AMAZONQ_API_KEY),  process.env.AMAZONQ_BASE_URL  || 'https://q.api.aws',              process.env.AMAZONQ_MODEL  || 'amazon-q'],
-    ['kilo',     process.env.KILO_API_KEY,     process.env.KILO_BASE_URL || 'https://api.kilocode.com/v1', process.env.OPENAI_MODEL || 'kilo-default'],
-    ['roo',      process.env.ROO_API_KEY,      process.env.ROO_BASE_URL || 'https://api.roocode.com/v1', process.env.OPENAI_MODEL || 'roo-default'],
-    ['cline',    process.env.CLINE_API_KEY,    process.env.CLINE_BASE_URL || 'https://api.cline.dev/v1', process.env.OPENAI_MODEL || 'cline-default'],
-    ['continue', process.env.CONTINUE_API_KEY, process.env.CONTINUE_BASE_URL || 'https://api.continue.dev/v1', process.env.OPENAI_MODEL || 'continue-default'],
-    ['kade',     process.env.KADE_API_KEY,     process.env.KADE_BASE_URL || 'https://api.kade.dev/v1', process.env.OPENAI_MODEL || 'kade-default'],
   ];
-  for (const [provider, key, baseURL, model] of checks) {
+  for (const [provider, apiKeys, baseURL, model] of checks) {
-    if (key && baseURL) return { provider, apiKey: key, baseURL, model };
+    if (apiKeys.length > 0 && baseURL) return { provider, apiKeys, baseURL, model };
   }
-  return { provider: null, apiKey: null, baseURL: null, model: null };
+  return { provider: null, apiKeys: [], baseURL: null, model: null };
 }

app/config.test.js

@@ -0,0 +1,108 @@
+import { describe, it, beforeEach, afterEach } from 'node:test';
+import assert from 'node:assert/strict';
+import { getLLMConfig } from './config.js';
+
+const ENV_KEYS = [
+  'OPENAI_API_KEY', 'OPENAI_BASE_URL', 'OPENAI_MODEL',
+  'CLAUDE_API_KEY', 'CLAUDE_BASE_URL', 'CLAUDE_MODEL',
+  'GEMINI_API_KEY', 'GEMINI_BASE_URL', 'GEMINI_MODEL',
+  'OLLAMA_BASE_URL', 'OLLAMA_MODEL',
+  'AMAZONQ_API_KEY', 'AMAZONQ_BASE_URL', 'AMAZONQ_MODEL',
+];
+
+let saved = {};
+beforeEach(() => {
+  saved = {};
+  for (const k of ENV_KEYS) { saved[k] = process.env[k]; delete process.env[k]; }
+});
+afterEach(() => {
+  for (const k of ENV_KEYS) {
+    if (saved[k] === undefined) delete process.env[k];
+    else process.env[k] = saved[k];
+  }
+});
+
+describe('getLLMConfig', () => {
+  it('returns null provider when no env vars set', () => {
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, null);
+    assert.deepEqual(cfg.apiKeys, []);
+  });
+
+  it('detects openai with defaults', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+    assert.deepEqual(cfg.apiKeys, ['sk-test']);
+    assert.equal(cfg.baseURL, 'https://api.openai.com/v1');
+    assert.equal(cfg.model, 'gpt-4o-mini');
+  });
+
+  it('detects openai with custom base url and model', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.OPENAI_BASE_URL = 'https://openrouter.ai/api/v1';
+    process.env.OPENAI_MODEL = 'gpt-4o';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+    assert.equal(cfg.baseURL, 'https://openrouter.ai/api/v1');
+    assert.equal(cfg.model, 'gpt-4o');
+  });
+
+  it('detects gemini with comma-separated keys, picks one', () => {
+    process.env.GEMINI_API_KEY = 'key1,key2,key3';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'gemini');
+    assert.deepEqual(cfg.apiKeys, ['key1', 'key2', 'key3']);
+  });
+
+  it('detects gemini with single key (no comma)', () => {
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'gemini');
+    assert.equal(cfg.model, 'gemini-2.5-flash');
+  });
+
+  it('detects gemini with custom model', () => {
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    process.env.GEMINI_MODEL = 'gemini-2.0-flash';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.model, 'gemini-2.0-flash');
+  });
+
+  it('detects claude with defaults', () => {
+    process.env.CLAUDE_API_KEY = 'claude-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'claude');
+    assert.equal(cfg.model, 'claude-3-haiku-20240307');
+  });
+
+  it('detects amazonq with its own model env', () => {
+    process.env.AMAZONQ_API_KEY = 'aq-key';
+    process.env.AMAZONQ_MODEL = 'my-amazon-model';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'amazonq');
+    assert.equal(cfg.model, 'my-amazon-model');
+  });
+
+  it('openai takes priority over gemini when both set', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+  });
+
+  it('empty string api key is treated as not set', () => {
+    process.env.OPENAI_API_KEY = '';
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'gemini');
+  });
+
+  it('detects ollama without api key', () => {
+    process.env.OLLAMA_BASE_URL = 'http://localhost:11434';
+    process.env.OLLAMA_MODEL = 'llama3';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'ollama');
+    assert.equal(cfg.model, 'llama3');
+  });
+});

app/findings.js

@@ -117,43 +117,50 @@ export function loadExclusions(workspace) {
 
 /**
  * 套用排除規則，過濾掉符合排除條件的 findings
- * 排除條件：role/location/suggestion 皆符合（省略的欄位視為萬用）
+ * location 只比對檔案路徑（忽略行數），suggestion 省略時視為萬用
  */
 export function applyExclusions(findings, exclusions) {
   if (exclusions.length === 0) return findings;
   const before = findings.length;
-  const filtered = findings.filter(f => !exclusions.some(ex =>
+  const filtered = findings.filter(f => !exclusions.some(ex => {
-    (!ex.role || ex.role === f.role) &&
+    const fPath = String(f.location).split(':')[0];
-    (!ex.location || String(f.location).includes(ex.location)) &&
+    const exPath = ex.location ? String(ex.location).split(':')[0] : null;
-    (!ex.suggestion || String(f.suggestion).includes(String(ex.suggestion).slice(0, 20)))
+    return (!exPath || fPath === exPath) &&
-  ));
+           (!ex.role || ex.role === f.role);
+  }));
   console.log(`  排除過濾: ${before} -> ${filtered.length} 筆（排除 ${before - filtered.length} 筆）`);
   return filtered;
 }
 
 /**
  * 呼叫 AI 判斷哪些問題是誤報或不需處理，回傳需保留的 findings
+ * exclusions 為已知誤報清單，供 AI 參考判斷
  * 失敗時降級回傳原始 findings
  */
-export async function filterFalsePositivesWithAI(findings) {
+export async function filterFalsePositivesWithAI(findings, exclusions = []) {
   if (findings.length === 0) return findings;
 
+  const exclusionHint = exclusions.length > 0
+    ? `\n\n以下是已知的誤報或不需處理的問題清單（供參考，相同檔案路徑且語意相近的問題應一併排除）：\n${JSON.stringify(exclusions, null, 2)}`
+    : '';
+
   const systemPrompt = `你是一位資深程式碼審查專家，負責判斷審查問題是否為誤報或不需處理。
 給你一份問題清單（JSON 陣列），每筆包含 level、role、location、suggestion。
 請移除以下類型的問題：
 1. 誤報：問題描述與實際程式碼不符（例如：程式碼已正確使用環境變數或 secrets，卻被標記為硬編碼敏感資料）
 2. 不適用：問題在此專案情境下不需處理（例如：CI/CD action 本來就需要透過環境變數傳遞 token）
-只回傳需要保留的問題 JSON 陣列，不要有其他文字。`;
+3. 與已知誤報清單語意相近的問題（檔案路徑相同且建議內容相似）
+只回傳需要保留的問題 JSON 陣列，不要有其他文字。${exclusionHint}`;
 
   const userContent = `請判斷以下問題清單，移除誤報或不需處理的問題：\n\n${JSON.stringify(findings, null, 2)}`;
 
   try {
     const result = await chatJSON(systemPrompt, userContent);
-    if (Array.isArray(result)) {
+    if (Array.isArray(result) && result.length > 0) {
       console.log(`  AI 誤報過濾: ${findings.length} -> ${result.length} 筆`);
       return result;
     }
-    throw new Error('AI 回傳非陣列');
+    throw new Error('AI 回傳空陣列或非陣列');
   } catch (e) {
     const status = e.response?.status;
     if (status === 402 || status === 429) {

app/llm.js

@@ -5,23 +5,31 @@ import { getLLMConfig } from './config.js';
 const httpsAgent = new https.Agent({ rejectUnauthorized: false });
 
 export async function chat(systemPrompt, userContent) {
-  const { provider, apiKey, baseURL, model } = getLLMConfig();
+  const { provider, apiKeys, 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 = {
+  const headers = { 'Content-Type': 'application/json' };
-    'Content-Type': 'application/json',
-    'Authorization': `Bearer ${apiKey}`,
-  };
   if (provider === 'claude') headers['anthropic-version'] = '2023-06-01';
 
+  let lastError;
+  for (let i = 0; i < apiKeys.length; i++) {
+    headers['Authorization'] = `Bearer ${apiKeys[i]}`;
+    try {
       const resp = await axios.post(
         `${baseURL.replace(/\/$/, '')}/chat/completions`,
         { model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 },
         { headers, timeout: 120000, httpsAgent }
       );
       return resp.data.choices[0].message.content;
+    } catch (e) {
+      lastError = e;
+      console.log(`  [LLM] key[${i + 1}/${apiKeys.length}] 失敗: ${e.message}`);
+    }
+  }
+  console.error('  [LLM] 所有 API Key 均失敗，終止流程');
+  process.exit(1);
 }
 
 export async function chatJSON(systemPrompt, userContent) {

app/main.js

@@ -85,7 +85,7 @@ async function main() {
   console.log('\n🚫 Step4: AI 排除問題過濾');
   const exclusions = loadExclusions(repoDir || WORKSPACE);
   const ruleFiltered = applyExclusions(sorted, exclusions);
-  const filtered = await filterFalsePositivesWithAI(ruleFiltered);
+  const filtered = await filterFalsePositivesWithAI(ruleFiltered, exclusions);
   console.log(`  Step4 完成: findings total=${filtered.length}`);
 
   // Step5: 寫入 findings.json，依序發布 comment

app/roles.js

@@ -12,9 +12,13 @@ export function loadRoles() {
 }
 
 export function getRoleIntro(roles) {
-  const lines = ['## 🤖 AI Code Review 團隊', ''];
+  const lines = [
+    '## 🤖 AI Code Review 團隊', '',
+    '| 👤 名稱 | 🎯 職責 | 🧠 個性 |',
+    '|--------|--------|--------|',
+  ];
   for (const r of roles) {
-    lines.push(`- **${r.name}** (${r.role})：${r.personality}`);
+    lines.push(`| **${r.name}** | ${r.role} | ${r.personality} |`);
   }
   return lines.join('\n');
 }