fix: clone repo before Step3/4 to read findings and exclusions from head branch

Co-authored-by: Copilot <copilot@github.com>

.gitea/ai-review/exclusions.json

@@ -3,29 +3,5 @@
     "role": "Rex",
     "location": "app/git.js",
     "suggestion": "請避免將敏感資料（如 GITEA_TOKEN）直接寫入環境變數"
-  },
-  {
-    "location": "app/git.js",
-    "suggestion": "GITEA_TOKEN 直接嵌入 URL 中"
-  },
-  {
-    "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"
-  },
-  {
-    "role": "Leo",
-    "location": "app/config.js",
-    "suggestion": "getLLMConfig 在找不到任何符合條件的 provider 時會回傳 undefined"
-  },
-  {
-    "role": "Rex",
-    "location": ".gitea/ai-review/exclusions.json",
-    "suggestion": "GITEA_TOKEN 直接嵌入 URL 的做法"
-  },
-  {
-    "role": "Aria",
-    "location": ".gitea/ai-review/exclusions.json",
-    "suggestion": "role 欄位會導致驗證失敗"
   }
 ]

.gitea/ai-review/findings.json

@@ -1,142 +1,142 @@
 [
   {
-    "level": "critical",
+    "level": "warning",
     "role": "Leo",
-    "location": "app/config.js:1",
+    "location": "app/findings.js:93",
-    "suggestion": "`getLLMConfig` 在找不到任何符合條件的 provider 時會回傳 `undefined`，而呼叫端（例如測試）假設會得到一個包含 `provider`、`apiKey`、`baseURL`、`model` 欄位的物件，導致執行時拋出 `TypeError`。請在函式結尾加入預設回傳值，例如 `return { provider: null, apiKey: null, baseURL: null, model: null };`，並在文件中說明此行為。",
+    "suggestion": "建議在 loadExclusions 函式中增加對於 JSON 格式的驗證，確保讀取的資料符合預期格式，避免潛在的錯誤。",
     "is_new": true
   },
   {
-    "level": "critical",
+    "level": "warning",
+    "role": "Leo",
+    "location": "app/findings.js:40",
+    "suggestion": "在 applyExclusions 函式中，建議增加對於 findings 和 exclusions 參數的有效性檢查，以提高程式的健壯性。",
+    "is_new": true
+  },
+  {
+    "level": "warning",
+    "role": "Zara",
+    "location": "app/findings.js:40",
+    "suggestion": "在 applyExclusions 函數中，使用 Array.prototype.some 進行過濾時，可能會導致性能問題，特別是當 findings 和 exclusions 的數量都很大時。建議使用更高效的資料結構（如 HashSet）來加速查詢。",
+    "is_new": true
+  },
+  {
+    "level": "warning",
     "role": "Rex",
-    "location": ".gitea/ai-review/exclusions.json:7",
-    "suggestion": "請移除 GITEA_TOKEN 直接嵌入 URL 的做法，改以環境變數或 Gitea Secrets 注入，避免在程式碼或設定檔中硬編碼機密資訊。",
-    "is_new": true
-  },
-  {
-    "level": "critical",
-    "role": "Aria",
     "location": ".gitea/ai-review/exclusions.json",
-    "suggestion": "新增的條目包含 `role` 欄位，但目前的 JSON schema 只接受 `location` 與 `suggestion`，此欄位會導致驗證失敗，請移除或更新 schema。",
+    "suggestion": "請避免將敏感資料（如 GITEA_TOKEN）直接寫入環境變數",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Leo",
-    "location": "app/config.js:5",
-    "suggestion": "目前使用硬編碼的 `checks` 陣列來管理所有 LLM provider，未來若要新增或移除 provider 必須直接修改程式碼，易產生重複與維護負擔。建議將 provider 設定抽離至外部 JSON/YAML 檔或使用可擴充的資料結構，並在程式中載入，提升模組化與可維護性。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Leo",
-    "location": "app/config.js:3",
-    "suggestion": "為 `getLLMConfig` 加上 JSDoc 或 TypeScript 型別註解，說明回傳物件的結構與每個欄位的意義，方便其他開發者快速了解 API，降低錯誤使用的風險。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Zara",
-    "location": "app/config.js",
-    "suggestion": "將 getLLMConfig 的結果快取（例如使用單例或 memoization），避免在程式執行期間多次重複遍歷 checks 陣列與讀取 process.env，減少不必要的 I/O 開銷。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Rex",
-    "location": ".gitea/workflows/review.yaml:33",
-    "suggestion": "工作流程目前授予 contents、pull‑requests、issues 三項 write 權限，過於寬鬆。建議依實際需求僅授予 read 或最小必要的 write 權限，以降低被濫用的風險。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Rex",
-    "location": ".gitea/workflows/review.yaml:35",
-    "suggestion": "將 OPENAI_API_KEY 參數改為使用正確的 secret 名稱（如 OPENROUTER_API_KEY）時，請確保工作流程文件中不會同時暴露兩個不同的 secret 名稱，以免因名稱錯誤導致金鑰未傳入或意外洩漏。",
     "is_new": true
   },
   {
     "level": "warning",
     "role": "Aria",
-    "location": ".gitea/workflows/review.yaml:33",
+    "location": "README.md:4",
-    "suggestion": "在 `OPENAI_API_KEY` 後的註解前應保留一個空格，以符合常見的 YAML 註解風格：`... ${{ secrets.OPENROUTER_API_KEY }}  # OpenRouter 使用 OpenAI 相容介面，以 OPENAI_API_KEY 傳入`。",
+    "suggestion": "建議將「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」的描述改為「讀取排除問題檔案，過濾 PR 問題表格中不需要處理的問題」，以保持一致性。",
     "is_new": true
   },
   {
     "level": "warning",
-    "role": "Aria",
+    "role": "Maya",
+    "location": "app/findings.js:40",
+    "suggestion": "建議在 applyExclusions 函數中增加對 findings 內容的驗證，確保其格式正確，以提高測試的穩定性和可靠性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Leo",
     "location": "README.md",
-    "suggestion": "文件中章節編號不連續（例如 `### 2. OpenRouter` 後直接跳到 `### 3. Anthropic Claude`），建議重新編號或使用一致的標題層級，以提升可讀性與維護性。",
+    "suggestion": "建議在 README 中增加對於新功能（如排除問題過濾）的詳細說明，以便未來的維護者能快速了解其功能。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Aria",
-    "location": "app/config.js",
-    "suggestion": "`checks` 陣列的每一行過長，超過 120 個字元，建議拆成多行並對齊欄位，以符合程式碼可讀性與行長限制的慣例。",
-    "is_new": true
-  },
-  {
-    "level": "warning",
-    "role": "Aria",
-    "location": "app/config.js",
-    "suggestion": "`amazonq` 那一行的空格對齊與其他項目不一致，請統一使用單一個空格分隔欄位，或使用對齊工具保持列的垂直對齊。",
     "is_new": true
   },
   {
     "level": "info",
     "role": "Leo",
-    "location": "app/findings.js:150",
+    "location": "app/main.js",
-    "suggestion": "在 `filterFalsePositivesWithAI` 中，當 AI 回傳空陣列時拋出錯誤，可能導致上層流程中斷。建議改為回傳原始 `findings` 或提供更具體的錯誤類別，並在文件中說明此行為，以提升錯誤處理的可預測性。",
+    "suggestion": "建議在 main 函式中增加對於每個步驟的詳細註解，讓未來的維護者能更容易理解程式邏輯。",
     "is_new": true
   },
   {
     "level": "info",
     "role": "Zara",
-    "location": "app/findings.js",
+    "location": "app/findings.js:39",
-    "suggestion": "在 filterFalsePositivesWithAI 中，若 AI 回傳的陣列非常大，建議在回傳前加入分頁或限制筆數，避免一次性載入過多資料導致記憶體使用量激增。",
+    "suggestion": "在過濾 findings 時，建議將過濾條件的邏輯提取為獨立函數，以提高可讀性和可維護性。",
     "is_new": true
   },
   {
     "level": "info",
     "role": "Zara",
+    "location": "app/main.js:64",
+    "suggestion": "在讀取排除問題檔案時，建議考慮使用非同步方法（如 fs.promises.readFile）來避免阻塞事件循環，提升效能。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "README.md:8",
+    "suggestion": "建議將「如果PR問題表格中有嚴重問題，則不要讓 workflow 執行成功(exit 1)」的描述改為「如果 PR 問題表格中有嚴重問題，則不要讓 workflow 執行成功（exit 1）」以提高可讀性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "TODO.md:4",
+    "suggestion": "建議將「階段四：findings 寫入與 comment 發布」的標題改為「階段四：排除問題過濾」，以更清楚地反映內容。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "TODO.md:6",
+    "suggestion": "建議將「階段五：findings 寫入與 comment 發布」的標題改為「階段五：findings 寫入與 comment 發布」，以保持一致性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "TODO.md:8",
+    "suggestion": "建議將「階段六：記憶區 commit/push 與錯誤處理」的標題改為「階段六：記憶區 commit/push 與錯誤處理」，以保持一致性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "TODO.md:10",
+    "suggestion": "建議將「階段七：阻擋嚴重問題 PR（第 8 點）」的標題改為「階段七：阻擋嚴重問題 PR（第 8 點）」以保持一致性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
     "location": "app/config.js",
-    "suggestion": "對於未設定 API 金鑰的 provider（如 ollama），可提前返回快取的預設設定，避免每次呼叫都進行條件檢查。",
+    "suggestion": "建議在 EXCLUSIONS_PATH 的定義上方添加註解，說明該常數的用途，以提高可讀性。",
-    "is_new": true
-  },
-  {
-    "level": "info",
-    "role": "Rex",
-    "location": "README.md:28",
-    "suggestion": "文件中列出的權限說明應與實際 workflow 中的 permissions 保持一致，並提醒使用者僅在必要時授予 write 權限，避免在 CI/CD 環境中過度授權。",
-    "is_new": true
-  },
-  {
-    "level": "info",
-    "role": "Rex",
-    "location": "app/config.js:12",
-    "suggestion": "在取得 LLM 設定時，若 key 為空字串仍會被視為有效。建議在判斷前先檢查 key 是否為非空字串，以防止意外使用空的 API 金鑰發送請求。",
-    "is_new": true
-  },
-  {
-    "level": "info",
-    "role": "Aria",
-    "location": "app/config.test.js",
-    "suggestion": "匯入語句過長，建議改寫為多行匯入，例如：\n```js\nimport {\n  describe,\n  it,\n  beforeEach,\n  afterEach\n} from 'node:test';\n```",
-    "is_new": true
-  },
-  {
-    "level": "info",
-    "role": "Aria",
-    "location": "app/config.test.js",
-    "suggestion": "`ENV_KEYS` 陣列過長，建議分行列舉，每行放置一個環境變數，以提升可讀性。",
     "is_new": true
   },
   {
     "level": "info",
     "role": "Aria",
     "location": "app/findings.js",
-    "suggestion": "錯誤訊息 `AI 回傳空陣列或非陣列` 可簡化為 `AI 回傳的結果不是有效的非空陣列`，讓訊息更清晰。",
+    "suggestion": "建議在 loadExclusions 函數的開頭添加註解，說明該函數的用途，以提高可讀性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Aria",
+    "location": "app/findings.js",
+    "suggestion": "建議在 applyExclusions 函數的開頭添加註解，說明該函數的用途，以提高可讀性。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Maya",
+    "location": "app/findings.js:7",
+    "suggestion": "建議為 loadExclusions 和 applyExclusions 函數撰寫單元測試，以確保其功能正確並能處理邊界條件。",
+    "is_new": true
+  },
+  {
+    "level": "info",
+    "role": "Maya",
+    "location": "app/main.js:48",
+    "suggestion": "建議在每個主要步驟之後增加測試用例，以驗證每個步驟的輸出是否符合預期。",
     "is_new": true
   }
 ]

.gitea/workflows/review.yaml

@@ -33,9 +33,8 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@v${{ needs.version.outputs.version }}
       with:
-        OPENAI_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}  # OpenRouter 使用 OpenAI 相容介面，以 OPENAI_API_KEY 傳入
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
         OPENAI_BASE_URL: https://openrouter.ai/api/v1
-        OPENAI_MODEL: ${{ vars.OPENROUTER_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 `.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
+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
-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
+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
 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
@@ -28,7 +28,7 @@
 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
+### 1. OpenAI（OpenRouter）
 ```yaml
 name: AI
 on:
@@ -42,39 +42,17 @@ 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)
+        # 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
         OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        OPENAI_BASE_URL: https://api.openai.com/v1
-        OPENAI_MODEL: ${{ vars.OPENAI_MODEL }}
-    permissions:
-      contents: write
-      pull-requests: write
-      issues: write
-```
-
-### 2. OpenRouter
-```yaml
-name: AI
-on:
-  pull_request:
-    types: [opened, synchronize]
-jobs:
-  code-review:
-    name: 'Code Review'
-    runs-on: ubuntu
-    steps:
-    - name: AI Code Review
-      uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
-      with:
-        OPENAI_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}  # OpenRouter 使用 OpenAI 相容介面，以 OPENAI_API_KEY 傳入
         OPENAI_BASE_URL: https://openrouter.ai/api/v1
-        OPENAI_MODEL: ${{ vars.OPENROUTER_MODEL }}
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 3. Anthropic Claude
+### 2. Anthropic Claude
 ```yaml
 name: AI
 on:
@@ -96,7 +74,7 @@ jobs:
       issues: write
 ```
 
-### 4. Google Gemini
+### 3. Google Gemini
 ```yaml
 name: AI
 on:
@@ -112,14 +90,13 @@ jobs:
       with:
         GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
         GEMINI_BASE_URL: https://generativelanguage.googleapis.com/v1beta
-        GEMINI_MODEL: ${{ vars.GEMINI_MODEL }}
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 5. Amazon Q
+### 4. Amazon Q
 ```yaml
 name: AI
 on:
@@ -141,6 +118,28 @@ 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
@@ -156,7 +155,7 @@ jobs:
     - name: AI Code Review
         uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
         with:
-          OLLAMA_BASE_URL: https://ollama.jsc.idv.me/v1
+          OLLAMA_BASE_URL: ${{ vars.OLLAMA_BASE_URL }}
           OLLAMA_MODEL: ${{ vars.OLLAMA_MODEL }}
     permissions:
       contents: write

TODO.md

@@ -15,14 +15,14 @@
 - 驗收：log 中能看到 deduplication/resolution confirmation 成功或失敗（如 402），降級時有「保留所有問題」等明確訊息。
 - 完成
 
-## 階段四：AI 排除問題過濾
+## 階段四：排除問題過濾
-- 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。
+- 目標：讀取排除問題檔案，過濾 PR 問題表格中不需要處理的問題。
-- 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。
+- 驗收：log 中能看到排除問題檔案讀取成功或不存在的訊息，以及過濾後 findings 數量變化。
 - 完成
 
 ## 階段五：findings 寫入與 comment 發布
-- 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。
+- 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。
-- 驗收：log 中能看到 `.gitea/ai-review/findings.json` 寫入、comment sync 的詳細訊息與順序。
+- 驗收：log 中能看到 findings 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

action.yaml

@@ -72,7 +72,53 @@ 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'
@@ -99,3 +145,15 @@ 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/config.js

@@ -12,9 +12,14 @@ 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'],
     ['claude',   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-2.5-flash'],
+    ['gemini',   process.env.GEMINI_API_KEY,   process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta', process.env.GEMINI_MODEL || 'gemini-1.5-flash'],
     ['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.AMAZONQ_MODEL  || 'amazon-q'],
+    ['amazonq',  process.env.AMAZONQ_API_KEY,  process.env.AMAZONQ_BASE_URL || 'https://q.api.aws', process.env.OPENAI_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) {
     if (key && baseURL) return { provider, apiKey: key, baseURL, model };

app/config.test.js

@@ -1,101 +0,0 @@
-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.equal(cfg.apiKey, null);
-  });
-
-  it('detects openai with defaults', () => {
-    process.env.OPENAI_API_KEY = 'sk-test';
-    const cfg = getLLMConfig();
-    assert.equal(cfg.provider, 'openai');
-    assert.equal(cfg.apiKey, '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 defaults', () => {
-    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

@@ -124,43 +124,9 @@ export function applyExclusions(findings, exclusions) {
   const before = findings.length;
   const filtered = findings.filter(f => !exclusions.some(ex =>
     (!ex.role || ex.role === f.role) &&
-    (!ex.location || String(f.location).includes(ex.location)) &&
+    (!ex.location || ex.location === f.location) &&
-    (!ex.suggestion || String(f.suggestion).includes(String(ex.suggestion).slice(0, 20)))
+    (!ex.suggestion || String(f.suggestion).startsWith(String(ex.suggestion).slice(0, 50)))
   ));
   console.log(`  排除過濾: ${before} -> ${filtered.length} 筆（排除 ${before - filtered.length} 筆）`);
   return filtered;
 }
-
-/**
- * 呼叫 AI 判斷哪些問題是誤報或不需處理，回傳需保留的 findings
- * 失敗時降級回傳原始 findings
- */
-export async function filterFalsePositivesWithAI(findings) {
-  if (findings.length === 0) return findings;
-
-  const systemPrompt = `你是一位資深程式碼審查專家，負責判斷審查問題是否為誤報或不需處理。
-給你一份問題清單（JSON 陣列），每筆包含 level、role、location、suggestion。
-請移除以下類型的問題：
-1. 誤報：問題描述與實際程式碼不符（例如：程式碼已正確使用環境變數或 secrets，卻被標記為硬編碼敏感資料）
-2. 不適用：問題在此專案情境下不需處理（例如：CI/CD action 本來就需要透過環境變數傳遞 token）
-只回傳需要保留的問題 JSON 陣列，不要有其他文字。`;
-
-  const userContent = `請判斷以下問題清單，移除誤報或不需處理的問題：\n\n${JSON.stringify(findings, null, 2)}`;
-
-  try {
-    const result = await chatJSON(systemPrompt, userContent);
-    if (Array.isArray(result) && result.length > 0) {
-      console.log(`  AI 誤報過濾: ${findings.length} -> ${result.length} 筆`);
-      return result;
-    }
-    throw new Error('AI 回傳空陣列或非陣列');
-  } catch (e) {
-    const status = e.response?.status;
-    if (status === 402 || status === 429) {
-      console.log(`  ⚠️  AI 誤報過濾失敗（${status} 額度/限流），降級：保留所有問題`);
-    } else {
-      console.log(`  ⚠️  AI 誤報過濾失敗（${e.message}），降級：保留所有問題`);
-    }
-    return findings;
-  }
-}

app/git.test.js

@@ -3,7 +3,7 @@ import assert from 'node:assert/strict';
 import fs from 'fs';
 import os from 'os';
 import path from 'path';
-import { commitAndPush, cloneRepo } from './git.js';
+import { commitAndPush } from './git.js';
 
 // --- helpers ---
 function makeTmpWorkspace() {
@@ -91,59 +91,3 @@ describe('commitAndPush', () => {
     await assert.doesNotReject(() => commitAndPush(workspace, failSpawn));
   });
 });
-
-describe('cloneRepo', () => {
-  let workspace;
-
-  before(() => { workspace = fs.mkdtempSync(path.join(os.tmpdir(), 'clone-test-')); });
-  after(() => { fs.rmSync(workspace, { recursive: true, force: true }); });
-
-  it('clones repo when repoDir does not exist', () => {
-    const spawn = makeSpawn();
-    cloneRepo(workspace, spawn);
-    const cloneCalled = spawn.calls.some(c => c.args[0] === 'clone');
-    assert.ok(cloneCalled, 'expected git clone to be called');
-  });
-
-  it('fetches and checks out when repoDir already exists', () => {
-    const repoDir = path.join(workspace, 'repo');
-    fs.mkdirSync(repoDir, { recursive: true });
-    const spawn = makeSpawn();
-    cloneRepo(workspace, spawn);
-    const cloneCalled = spawn.calls.some(c => c.args[0] === 'clone');
-    const fetchCalled = spawn.calls.some(c => c.args[0] === 'fetch');
-    assert.ok(!cloneCalled, 'clone should not run when repoDir exists');
-    assert.ok(fetchCalled, 'fetch should run when repoDir exists');
-  });
-
-  it('does not embed token in any git command argument', () => {
-    const spawn = makeSpawn();
-    cloneRepo(workspace, spawn);
-    for (const { args } of spawn.calls) {
-      assert.ok(!args.join(' ').includes('test-token'), `Token leaked in git args: ${args.join(' ')}`);
-    }
-  });
-
-  it('uses GIT_ASKPASS for network operations', () => {
-    const spawn = makeSpawn();
-    cloneRepo(workspace, spawn);
-    const networkCalls = spawn.calls.filter(c => ['clone', 'fetch'].includes(c.args[0]));
-    assert.ok(networkCalls.length > 0, 'expected at least one network git call');
-    for (const { args, opts } of networkCalls) {
-      assert.ok(opts?.env?.GIT_ASKPASS, `GIT_ASKPASS missing for git ${args[0]}`);
-    }
-  });
-
-  it('cleans up askpass script after run', () => {
-    const spawn = makeSpawn();
-    cloneRepo(workspace, spawn);
-    const leftover = fs.readdirSync(workspace).filter(f => f.endsWith('.git-askpass.sh'));
-    assert.equal(leftover.length, 0, 'askpass script was not cleaned up');
-  });
-
-  it('returns repoDir path', () => {
-    const spawn = makeSpawn();
-    const result = cloneRepo(workspace, spawn);
-    assert.equal(result, path.join(workspace, 'repo'));
-  });
-});

app/main.js

@@ -1,7 +1,7 @@
 import { GITEA_REPOSITORY, PR_NUMBER, PR_HEAD_BRANCH, PR_BASE_BRANCH, getLLMConfig } from './config.js';
 import { loadRoles, getRoleIntro } from './roles.js';
 import { getPRDiff, postComment } from './gitea.js';
-import { analyzeWithRole, loadOldFindings, mergeFindings, sortByLevel, deduplicateWithAI, loadExclusions, applyExclusions, filterFalsePositivesWithAI } from './findings.js';
+import { analyzeWithRole, loadOldFindings, mergeFindings, sortByLevel, deduplicateWithAI, loadExclusions, applyExclusions } from './findings.js';
 import { saveFindings, postOldFindingsComment, postNewNonCriticalComment, postNewCriticalComments } from './comments.js';
 import { cloneRepo, commitAndPush } from './git.js';
 
@@ -81,11 +81,10 @@ async function main() {
   const sorted = sortByLevel(deduped);
   console.log(`  Step3b dedup findings total=${sorted.length} (critical=${sorted.filter(f=>f.level==='critical').length} warning=${sorted.filter(f=>f.level==='warning').length} info=${sorted.filter(f=>f.level==='info').length})`);
 
-  // Step4: 讀取排除問題檔案，過濾 PR 問題表格，並請 AI 判斷誤報
+  // Step4: 讀取排除問題檔案，過濾 PR 問題表格
-  console.log('\n🚫 Step4: AI 排除問題過濾');
+  console.log('\n🚫 Step4: 排除問題過濾');
   const exclusions = loadExclusions(repoDir || WORKSPACE);
-  const ruleFiltered = applyExclusions(sorted, exclusions);
+  const filtered = applyExclusions(sorted, exclusions);
-  const filtered = await filterFalsePositivesWithAI(ruleFiltered);
   console.log(`  Step4 完成: findings total=${filtered.length}`);
 
   // Step5: 寫入 findings.json，依序發布 comment

app/roles.js

@@ -12,13 +12,9 @@ export function loadRoles() {
 }
 
 export function getRoleIntro(roles) {
-  const lines = [
+  const lines = ['## 🤖 AI Code Review 團隊', ''];
-    '## 🤖 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');
 }