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@tegnike tegnike commented Jul 17, 2025

Summary by CodeRabbit

  • 新機能
    • マルチモーダル機能の利用モードを「AI判定」「常に使用」「使用しない」から選択可能に。
    • 「AI判定」モードでは、AIが画像の会話への関連性を判定し、カスタムプロンプトも設定可能。
  • 改善
    • マルチモーダル設定画面がラジオボタン形式となり操作性が向上。
    • 日本語ローカライズがマルチモーダル関連で拡充。
    • APIキー入力欄のタイプを「テキスト」から「パスワード」に変更しセキュリティ強化。

claude bot and others added 2 commits July 17, 2025 12:19
- Replace boolean autoSendImagesInMultiModal with multiModalMode enum
- Add three modes: ''ai-decide'', ''always'', ''never''
- Implement AI decision logic with custom prompt support
- Update settings UI with radio buttons and prompt input field
- Add Japanese localization for new UI elements
- Maintain backward compatibility with existing functionality

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: ニケちゃん / nikechan <tegnike@users.noreply.github.com>
@tegnike tegnike requested a review from Copilot July 17, 2025 12:52
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coderabbitai bot commented Jul 17, 2025

"""

Walkthrough

この変更では、マルチモーダル機能の設定を従来のブール値フラグから「AIによる判断」「常に使用」「使用しない」の3つのモードに拡張し、AIによる画像利用判断プロンプトの設定項目も追加されました。関連するロジックとUI、ローカライズが更新されています。

Changes

ファイル/グループ 変更内容概要
locales/ja/translation.json、locales/en/translation.json 自動画像送信設定の削除とマルチモーダル利用モードおよびAI判断プロンプト関連のローカライズエントリ追加・更新
src/components/form.tsx、src/features/chat/handlers.ts 画像送信制御をブール値から3値モード(always/never/ai-decide)に変更し、AI判断による画像利用判定ロジックを追加
src/components/settings/modelProvider.tsx マルチモーダル設定UIをトグルから3択ラジオボタンに変更、AI判断用プロンプト入力欄追加、APIキー入力をpassword型に変更
src/features/stores/settings.ts 設定ストアのautoSendImagesInMultiModalをmultiModalMode(3値)とmultiModalAiDecisionPromptに置換
.env.example マルチモーダル機能の有効化説明を明確化し、モード選択とAI判断プロンプト用の環境変数を追加
src/features/messages/messageSelectors.ts normalizeMessages関数に連続同一メッセージ統合のコメントを追加

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant UI
    participant SettingsStore
    participant ChatHandler
    participant AI

    User->>UI: チャット送信
    UI->>SettingsStore: multiModalMode, multiModalAiDecisionPrompt 取得
    UI->>ChatHandler: テキスト+画像(必要に応じて)
    alt multiModalMode = 'always'
        ChatHandler->>ChatHandler: 画像を常に添付
    else multiModalMode = 'never'
        ChatHandler->>ChatHandler: 画像を添付しない
    else multiModalMode = 'ai-decide'
        ChatHandler->>AI: 画像利用判断プロンプト+ユーザー入力+画像
        AI-->>ChatHandler: yes/no
        ChatHandler->>ChatHandler: yesなら画像添付、noならテキストのみ
    end
    ChatHandler->>AI: 最終的なユーザー入力(テキスト+画像またはテキストのみ)
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@claude
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claude bot commented Jul 17, 2025

Claude finished @tegnike's task —— View job


Code Review Complete ✅

I've analyzed all 5 changed files and identified several areas for improvement regarding code quality, potential bugs, performance, security, and test coverage.

Tasks

  • Read and analyze all 5 changed files
  • Review code quality and best practices
  • Check for potential bugs or issues
  • Evaluate performance considerations
  • Identify security concerns
  • Assess test coverage implications
  • Provide detailed feedback with specific recommendations

Summary of Changes

This PR implements AI-powered multimodal decision-making features with:

  • Enhanced form component with image capture logic
  • Expanded AI service configuration options
  • AI decision-making for multimodal content usage
  • New multimodal settings and Japanese translations

🔍 Code Quality Issues

1. Large Component Problem - modelProvider.tsx:1650 lines

  • Issue: Monolithic component with 1,650+ lines is difficult to maintain
  • Impact: Hard to test, debug, and causes performance issues
  • Recommendation: Split into smaller, focused components by AI service

2. Race Condition - form.tsx:64-68

if (!homeStore.getState().modalImage) {
  homeStore.setState({ triggerShutter: true })
}
  • Issue: State could change between check and update
  • Recommendation: Use atomic state updates or proper locking

3. Code Duplication - modelProvider.tsx:278-1462

  • Issue: Repetitive patterns for each AI service configuration
  • Recommendation: Extract common configuration component

🐛 Potential Bugs

Critical Issues

  1. Unsafe Error Fallback - handlers.ts:89-91
return true // Error case defaults to using image
  • Risk: Failed AI decisions always use images, potentially costly
  • Fix: Return false or implement retry logic
  1. Memory Leak Risk - form.tsx:27-33
  • Issue: useEffect cleanup missing for image capture
  • Fix: Add cleanup function to cancel pending operations
  1. Infinite Loop Protection - handlers.ts:288-307
  • Issue: Loop detection logic may not catch all cases
  • Fix: Add more robust loop detection with timeouts

Medium Issues

  1. Missing Input Validation - handlers.ts:43
  • Issue: User message sent to AI without sanitization
  • Fix: Add input validation and sanitization
  1. Type Safety - modelProvider.tsx:1288-1311
  • Issue: Translation keys used with default values may not exist
  • Fix: Add proper type checking for translation keys

⚡ Performance Concerns

1. Expensive Re-renders - modelProvider.tsx:123

const isMultiModalSupported = isMultiModalModelWithToggle(
  selectAIService,
  selectAIModel,
  enableMultiModal
)
  • Issue: Computed on every render without memoization
  • Fix: Use useMemo to cache expensive computations

2. Additional API Calls - handlers.ts:29-92

  • Issue: AI decision making adds latency to every multimodal request
  • Fix: Implement caching or reduce decision frequency

3. Stream Processing Complexity - handlers.ts:419-566

  • Issue: Multiple nested while loops in stream processing
  • Fix: Simplify logic or use more efficient parsing

🔒 Security Concerns

1. API Key Exposure - modelProvider.tsx:293-301

  • Issue: API keys displayed as plain text in input fields
  • Fix: Implement input masking (type="password")

2. No Rate Limiting - handlers.ts:59-62

  • Issue: AI decision calls lack rate limiting
  • Fix: Implement rate limiting for API calls

3. Error Information Leakage - handlers.ts:65,89

  • Issue: Error details might expose internal information
  • Fix: Sanitize error messages before logging

🧪 Test Coverage

Missing Critical Tests

  1. Multimodal Decision Logic - No tests for askAIForMultiModalDecision
  2. Stream Processing - Complex parsing logic untested
  3. Error Scenarios - Error handling paths not covered
  4. Settings Persistence - No migration tests for new settings
  5. Component Integration - Form + handler interaction untested

Recommended Test Cases

// Example test structure needed
describe('Multimodal Decision Making', () => {
  it('should handle AI decision API failures gracefully')
  it('should cache AI decisions to avoid redundant calls')
  it('should sanitize user input before sending to AI')
})

📋 Recommendations

Immediate Actions (High Priority)

  1. Fix race condition in image capture logic
  2. Add API key masking in settings UI
  3. Implement rate limiting for AI decision calls
  4. Add memoization for expensive computations

Medium Priority

  1. Split large components into smaller, focused ones
  2. Add comprehensive error handling
  3. Implement caching for AI decisions
  4. Add input validation and sanitization

Long-term Improvements

  1. Add comprehensive test coverage
  2. Implement proper error boundaries
  3. Add performance monitoring
  4. Consider architectural improvements

🎯 Overall Assessment

The PR implements valuable multimodal AI features but needs attention to:

  • Code organization (large components)
  • Error handling (graceful failures)
  • Performance (unnecessary re-renders)
  • Security (API key protection)
  • Testing (comprehensive coverage)

While the functionality is solid, addressing these concerns will significantly improve maintainability and production readiness.


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Pull Request Overview

This PR replaces the boolean autoSendImagesInMultiModal setting with a more sophisticated multiModalMode that provides three options: 'ai-decide', 'always', and 'never'. The AI-decide mode introduces a new feature where an AI determines whether images are contextually relevant before including them in multimodal conversations.

  • Refactored multimodal image handling from boolean toggle to mode-based selection
  • Added AI-powered decision making for contextual image relevance
  • Enhanced UI with radio button selection and configurable AI decision prompt

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.

Show a summary per file
File Description
src/features/stores/settings.ts Updated settings interface and initialization to support new multimodal mode options
src/features/chat/handlers.ts Added AI decision function and integrated mode-based image handling logic
src/components/settings/modelProvider.tsx Replaced toggle UI with radio buttons and added prompt configuration
src/components/form.tsx Updated form logic to handle new multimodal modes
locales/ja/translation.json Added Japanese translations for new UI elements
Comments suppressed due to low confidence (1)

src/features/chat/handlers.ts:437

  • Using 'as any' bypasses type safety. Consider using a proper type guard function or explicit type checking instead.
            )


if (!response) {
console.error('AI判断の取得に失敗しました')
return true // エラーの場合は安全側に倒して画像を使用
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The fallback behavior comment and logic should be consistent. Consider making the fallback behavior configurable or documenting why 'true' is always the safe default.

Copilot uses AI. Check for mistakes.
return decision.includes('はい') || decision.includes('yes')
} catch (error) {
console.error('AI判断でエラーが発生しました:', error)
return true // エラーの場合は安全側に倒して画像を使用
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The fallback behavior comment and logic should be consistent. Consider making the fallback behavior configurable or documenting why 'true' is always the safe default.

Copilot uses AI. Check for mistakes.
}

const decision = result.trim().toLowerCase()
console.log('AI判断結果:', decision)
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Consider using a proper logging framework instead of console.log for production code, or remove debug logging.

Copilot uses AI. Check for mistakes.
Comment on lines +1543 to +1546
multiModalMode: e.target.value as
| 'ai-decide'
| 'always'
| 'never',
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The type assertion pattern is repeated multiple times. Consider extracting this into a reusable type guard or helper function to reduce duplication.

Suggested change
multiModalMode: e.target.value as
| 'ai-decide'
| 'always'
| 'never',
multiModalMode: castToMultiModalMode(e.target.value),

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Actionable comments posted: 1

🧹 Nitpick comments (2)
src/features/chat/handlers.ts (2)

84-84: 本番環境ではconsole.logを削除することを検討してください

デバッグ用のconsole.logが残っています。本番環境では削除するか、デバッグレベルのロギングシステムに置き換えることを推奨します。

Also applies to: 65-65


86-87: 多言語対応の判定ロジックを改善できます

現在は「はい」と「yes」のみをチェックしていますが、他の言語での肯定的な回答も考慮する必要があるかもしれません。

-    // 「はい」または「yes」が含まれている場合はtrue
-    return decision.includes('はい') || decision.includes('yes')
+    // 各言語の肯定的な回答をチェック
+    const affirmativeResponses = ['はい', 'yes', 'oui', 'sí', 'ja', '是', '예']
+    return affirmativeResponses.some(response => decision.includes(response))
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between afb3629 and aa11785.

📒 Files selected for processing (5)
  • locales/ja/translation.json (1 hunks)
  • src/components/form.tsx (3 hunks)
  • src/components/settings/modelProvider.tsx (15 hunks)
  • src/features/chat/handlers.ts (2 hunks)
  • src/features/stores/settings.ts (3 hunks)
🧰 Additional context used
📓 Path-based instructions (8)
locales/*/translation.json

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/add-new-llm-provider.mdc
{src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json}

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/task-guides.mdc
src/components/**/*

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/project-structure.mdc
{src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts}

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/task-guides.mdc
src/features/**/*

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/project-structure.mdc
src/components/settings/modelProvider.tsx

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/add-new-llm-provider.mdc
{src/components/settings/**/*.tsx,src/features/stores/settings.ts,src/components/settings/index.tsx}

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/task-guides.mdc
src/features/stores/settings.ts

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/add-new-llm-provider.mdc
🧠 Learnings (5)
locales/ja/translation.json (8)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to locales/*/translation.json : In each locales/[lang]/translation.json file, add translations for new UI text and provider-specific keys (e.g., AIService.newProvider, Settings.ModelProvider.APIKeyDescriptionNewProvider), ensuring correct JSON structure.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts} : When implementing the input form to LLM workflow, update or create the following files: src/components/form.tsx (or related form components), src/features/chat/handlers.ts, src/features/chat/vercelAIChat.ts (or specific LLM integration), src/features/chat/aiChatFactory.ts, and src/pages/api/aiChat.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/pages/api/services/**/* : AIモデルのバージョンは必ずサービスごとのソース (例: vercelAi.ts) に定義してください。
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/__tests__/features/chat/aiChatFactory.test.ts : In src/__tests__/features/chat/aiChatFactory.test.ts (or related test files), add or update test cases for the new LLM service provider.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, implement the API key input and model selection UI for the new provider, including translation keys.
src/components/form.tsx (13)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts} : When implementing the input form to LLM workflow, update or create the following files: src/components/form.tsx (or related form components), src/features/chat/handlers.ts, src/features/chat/vercelAIChat.ts (or specific LLM integration), src/features/chat/aiChatFactory.ts, and src/pages/api/aiChat.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider to aiServiceOptions.
Learnt from: RimgO
PR: tegnike/aituber-kit#395
File: src/components/messageInputContainer.tsx:46-60
Timestamp: 2025-05-21T14:11:19.604Z
Learning: In `src/components/messageInputContainer.tsx`, the `if (true) { //isNewUser` condition in the `onUserDetected` handler is intentionally left as is because this section is planned to be changed later.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider's logo path to aiServiceLogos.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, implement the API key input and model selection UI for the new provider, including translation keys.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/__tests__/features/chat/aiChatFactory.test.ts : In src/__tests__/features/chat/aiChatFactory.test.ts (or related test files), add or update test cases for the new LLM service provider.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, confirm that the SettingsState type is updated as a result of changes to APIKeys and initial values.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, update the store access to retrieve the new provider's API key.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/settings/**/*.tsx,src/features/stores/settings.ts,src/components/settings/index.tsx} : When adding a new setting, update or create components in src/components/settings/, the settings store at src/features/stores/settings.ts, and the main settings index at src/components/settings/index.tsx.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, add the new provider's API key initial value to the persist callback object, following existing naming conventions.
src/features/chat/handlers.ts (8)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts} : When implementing the input form to LLM workflow, update or create the following files: src/components/form.tsx (or related form components), src/features/chat/handlers.ts, src/features/chat/vercelAIChat.ts (or specific LLM integration), src/features/chat/aiChatFactory.ts, and src/pages/api/aiChat.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/__tests__/features/chat/aiChatFactory.test.ts : In src/__tests__/features/chat/aiChatFactory.test.ts (or related test files), add or update test cases for the new LLM service provider.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: RimgO
PR: tegnike/aituber-kit#395
File: src/components/messageInputContainer.tsx:46-60
Timestamp: 2025-05-21T14:11:19.604Z
Learning: In `src/components/messageInputContainer.tsx`, the `if (true) { //isNewUser` condition in the `onUserDetected` handler is intentionally left as is because this section is planned to be changed later.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider's default model to the defaultModels record.
Learnt from: tegnike
PR: tegnike/aituber-kit#0
File: :0-0
Timestamp: 2024-07-09T17:39:15.085Z
Learning: `src/features/messages/messages.ts` ファイルは、テキストを感情表現を含む `Screenplay` オブジェクトに変換する機能を持つ。
src/components/settings/modelProvider.tsx (14)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, implement the API key input and model selection UI for the new provider, including translation keys.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider to aiServiceOptions.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider's logo path to aiServiceLogos.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, update the store access to retrieve the new provider's API key.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider's default model to the defaultModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, confirm that the SettingsState type is updated as a result of changes to APIKeys and initial values.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider's configuration type to the AIServiceConfig interface.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, add the new provider's API key initial value to the persist callback object, following existing naming conventions.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : When editing src/features/stores/settings.ts, follow existing naming conventions for APIKeys interface keys and persist callback keys, as they may differ (e.g., openai vs openaiKey).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/settings/**/*.tsx,src/features/stores/settings.ts,src/components/settings/index.tsx} : When adding a new setting, update or create components in src/components/settings/, the settings store at src/features/stores/settings.ts, and the main settings index at src/components/settings/index.tsx.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/features/constants/settings.ts : src/features/constants/settings.ts - 共通設定と型定義ファイルは変更禁止(変更には承認が必要)。
src/features/stores/settings.ts (16)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, confirm that the SettingsState type is updated as a result of changes to APIKeys and initial values.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/settings/**/*.tsx,src/features/stores/settings.ts,src/components/settings/index.tsx} : When adding a new setting, update or create components in src/components/settings/, the settings store at src/features/stores/settings.ts, and the main settings index at src/components/settings/index.tsx.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/features/constants/settings.ts : src/features/constants/settings.ts - 共通設定と型定義ファイルは変更禁止(変更には承認が必要)。
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, add the new provider's API key initial value to the persist callback object, following existing naming conventions.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : When editing src/features/stores/settings.ts, follow existing naming conventions for APIKeys interface keys and persist callback keys, as they may differ (e.g., openai vs openaiKey).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/stores/settings.ts : In src/features/stores/settings.ts, add the new provider's API key type to the APIKeys interface.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider's configuration type to the AIServiceConfig interface.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider to aiServiceOptions.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider to related type guard functions (e.g., isVercelCloudAIService).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider's default model to the defaultModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, implement the API key input and model selection UI for the new provider, including translation keys.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursorrules:0-0
Timestamp: 2025-07-08T13:45:26.956Z
Learning: Applies to app/lib/api/config.ts : 環境変数の利用は config.ts 経由のみ許可する
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/pages/api/services/**/* : AIモデルのバージョンは必ずサービスごとのソース (例: vercelAi.ts) に定義してください。
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/pages/api/services/**/* : AIモデルのデフォルトバージョンは各サービスファイル内で厳密に管理されます(例: vercelAi.ts など)。
🧬 Code Graph Analysis (1)
src/components/form.tsx (2)
src/features/constants/aiModels.ts (1)
  • isMultiModalModel (264-266)
src/features/constants/settings.ts (1)
  • AIService (63-63)
🔇 Additional comments (11)
locales/ja/translation.json (1)

346-353: ローカライゼーションが適切に追加されています!

新しいマルチモーダル機能の日本語翻訳が正しく追加されており、JSONの構造も適切です。翻訳内容も自然で分かりやすい表現になっています。

src/components/form.tsx (2)

37-59: マルチモーダルモードの実装が適切です!

3つのモード(alwaysneverai-decide)を適切に処理しており、AI判断モードでは画像をキャプチャして後でAIに判断させる設計になっています。


74-82: 依存配列が正しく更新されています

multiModalModeselectAIServiceselectAIModelが依存配列に追加されており、コールバックの再生成が適切にトリガーされます。

src/components/settings/modelProvider.tsx (3)

99-102: 状態変数が適切に追加されています

multiModalModemultiModalAiDecisionPromptが設定ストアから正しく取得されています。


1531-1593: マルチモーダルモードのUIが優れた設計です!

ラジオボタンによる3つのモード選択が直感的で、各オプションの説明も明確です。無効化の制御も適切に実装されています。


1594-1612: AI判断プロンプトの条件付き表示が適切です

ai-decideモードが選択された時のみプロンプト入力欄を表示する実装が適切で、プレースホルダーテキストも分かりやすいです。

src/features/chat/handlers.ts (1)

756-784: マルチモーダルモードの処理が適切に実装されています!

3つのモード(alwaysneverai-decide)に基づいて画像の使用を適切に制御しており、AI判断モードではaskAIForMultiModalDecision関数を呼び出して動的に判断しています。

src/features/stores/settings.ts (4)

193-194: 新しいマルチモーダル設定の追加を承認します。

multiModalModemultiModalAiDecisionPromptの追加により、従来のブール値フラグからより柔軟な3つのモード(AI判断、常に使用、使用しない)への拡張が適切に実装されています。型定義も正確です。


428-434: 環境変数からの初期値設定の実装を承認します。

multiModalModeの初期値設定で、環境変数の値をバリデーションし、有効な値のみを受け入れる実装は堅牢です。デフォルト値として'ai-decide'が設定されているのも適切です。


435-437: AI判断プロンプトのデフォルト値設定を承認します。

multiModalAiDecisionPromptの初期値設定で、環境変数からの値取得とデフォルトの日本語プロンプトの設定が適切に実装されています。プロンプト内容も明確で実用的です。


621-622: 永続化設定への追加を承認します。

新しい設定項目multiModalModemultiModalAiDecisionPromptpartialize関数に適切に追加されており、設定の永続化が正しく実装されています。

Comment on lines 51 to 56
const systemMessage: Message = {
role: 'system',
content:
'あなたは画像がユーザーの質問に関連するかどうかを判断するアシスタントです。「はい」または「いいえ」のみで答えてください。',
timestamp: new Date().toISOString(),
}
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🛠️ Refactor suggestion

システムプロンプトの国際化を検討してください

AI判断用のシステムプロンプトが日本語でハードコードされています。アプリケーションの言語設定に応じて適切な言語を使用するよう、i18nextを使用した国際化を検討してください。

-    const systemMessage: Message = {
-      role: 'system',
-      content:
-        'あなたは画像がユーザーの質問に関連するかどうかを判断するアシスタントです。「はい」または「いいえ」のみで答えてください。',
-      timestamp: new Date().toISOString(),
-    }
+    const systemMessage: Message = {
+      role: 'system',
+      content: i18next.t('AIDecisionSystemPrompt', {
+        defaultValue: 'あなたは画像がユーザーの質問に関連するかどうかを判断するアシスタントです。「はい」または「いいえ」のみで答えてください。',
+      }),
+      timestamp: new Date().toISOString(),
+    }
🤖 Prompt for AI Agents
In src/features/chat/handlers.ts around lines 51 to 56, the system prompt is
hardcoded in Japanese, which limits internationalization. Refactor the code to
use i18next for localization by replacing the hardcoded Japanese string with a
call to the i18next translation function, passing a suitable key for this
prompt. Ensure the prompt text is added to the i18next resource files for all
supported languages so the message content adapts based on the application's
current language setting.

@claude
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claude bot commented Jul 17, 2025

Claude finished @tegnike's task —— View job


Claude finished @tegnike's task —— View job


Code Review Complete ✅

I've analyzed all 5 changed files and identified several areas for improvement regarding code quality, potential bugs, performance, security, and test coverage.

Tasks

  • Read and analyze all 5 changed files
  • Review code quality and best practices
  • Check for potential bugs or issues
  • Evaluate performance considerations
  • Identify security concerns
  • Assess test coverage implications
  • Provide detailed feedback with specific recommendations

Summary of Changes

This PR implements AI-powered multimodal decision-making features with:

  • Enhanced form component with image capture logic
  • Expanded AI service configuration options
  • AI decision-making for multimodal content usage
  • New multimodal settings and Japanese translations

🔍 Code Quality Issues

1. Large Component Problem - modelProvider.tsx:1650 lines

  • Issue: Monolithic component with 1,650+ lines is difficult to maintain
  • Impact: Hard to test, debug, and causes performance issues
  • Recommendation: Split into smaller, focused components by AI service

2. Race Condition - form.tsx:64-68

if (!homeStore.getState().modalImage) {
  homeStore.setState({ triggerShutter: true })
}
  • Issue: State could change between check and update
  • Recommendation: Use atomic state updates or proper locking

3. Code Duplication - modelProvider.tsx:278-1462

  • Issue: Repetitive patterns for each AI service configuration
  • Recommendation: Extract common configuration component

🐛 Potential Bugs

Critical Issues

  1. Unsafe Error Fallback - handlers.ts:89-91
return true // Error case defaults to using image
  • Risk: Failed AI decisions always use images, potentially costly
  • Fix: Return false or implement retry logic
  1. Memory Leak Risk - form.tsx:27-33
  • Issue: useEffect cleanup missing for image capture
  • Fix: Add cleanup function to cancel pending operations
  1. Infinite Loop Protection - handlers.ts:288-307
  • Issue: Loop detection logic may not catch all cases
  • Fix: Add more robust loop detection with timeouts

Medium Issues

  1. Missing Input Validation - handlers.ts:43
  • Issue: User message sent to AI without sanitization
  • Fix: Add input validation and sanitization
  1. Type Safety - modelProvider.tsx:1288-1311
  • Issue: Translation keys used with default values may not exist
  • Fix: Add proper type checking for translation keys

⚡ Performance Concerns

1. Expensive Re-renders - modelProvider.tsx:123

const isMultiModalSupported = isMultiModalModelWithToggle(
  selectAIService,
  selectAIModel,
  enableMultiModal
)
  • Issue: Computed on every render without memoization
  • Fix: Use useMemo to cache expensive computations

2. Additional API Calls - handlers.ts:29-92

  • Issue: AI decision making adds latency to every multimodal request
  • Fix: Implement caching or reduce decision frequency

3. Stream Processing Complexity - handlers.ts:419-566

  • Issue: Multiple nested while loops in stream processing
  • Fix: Simplify logic or use more efficient parsing

🔒 Security Concerns

1. API Key Exposure - modelProvider.tsx:293-301

  • Issue: API keys displayed as plain text in input fields
  • Fix: Implement input masking (type="password")

2. No Rate Limiting - handlers.ts:59-62

  • Issue: AI decision calls lack rate limiting
  • Fix: Implement rate limiting for API calls

3. Error Information Leakage - handlers.ts:65,89

  • Issue: Error details might expose internal information
  • Fix: Sanitize error messages before logging

🧪 Test Coverage

Missing Critical Tests

  1. Multimodal Decision Logic - No tests for askAIForMultiModalDecision
  2. Stream Processing - Complex parsing logic untested
  3. Error Scenarios - Error handling paths not covered
  4. Settings Persistence - No migration tests for new settings
  5. Component Integration - Form + handler interaction untested

Recommended Test Cases

// Example test structure needed
describe('Multimodal Decision Making', () => {
  it('should handle AI decision API failures gracefully')
  it('should cache AI decisions to avoid redundant calls')
  it('should sanitize user input before sending to AI')
})

📋 Recommendations

Immediate Actions (High Priority)

  1. Fix race condition in image capture logic
  2. Add API key masking in settings UI
  3. Implement rate limiting for AI decision calls
  4. Add memoization for expensive computations

Medium Priority

  1. Split large components into smaller, focused ones
  2. Add comprehensive error handling
  3. Implement caching for AI decisions
  4. Add input validation and sanitization

Long-term Improvements

  1. Add comprehensive test coverage
  2. Implement proper error boundaries
  3. Add performance monitoring
  4. Consider architectural improvements

🎯 Overall Assessment

The PR implements valuable multimodal AI features but needs attention to:

  • Code organization (large components)
  • Error handling (graceful failures)
  • Performance (unnecessary re-renders)
  • Security (API key protection)
  • Testing (comprehensive coverage)

While the functionality is solid, addressing these concerns will significantly improve maintainability and production readiness.


@claude
Copy link
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claude bot commented Jul 17, 2025

Claude finished @tegnike's task —— View job


Code Review Complete ✅

I've analyzed all 5 changed files and identified several areas for improvement regarding code quality, potential bugs, performance, security, and test coverage.

Tasks

  • Read and analyze all 5 changed files
  • Review code quality and best practices
  • Check for potential bugs or issues
  • Evaluate performance considerations
  • Identify security concerns
  • Assess test coverage implications
  • Provide detailed feedback with specific recommendations

Summary of Changes

This PR implements AI-powered multimodal decision-making features with:

  • Enhanced form component with image capture logic
  • Expanded AI service configuration options
  • AI decision-making for multimodal content usage
  • New multimodal settings and Japanese translations

🔍 Code Quality Issues

1. Large Component Problem - modelProvider.tsx:1650 lines

  • Issue: Monolithic component with 1,650+ lines is difficult to maintain
  • Impact: Hard to test, debug, and causes performance issues
  • Recommendation: Split into smaller, focused components by AI service

2. Race Condition - form.tsx:64-68

if (!homeStore.getState().modalImage) {
  homeStore.setState({ triggerShutter: true })
}
  • Issue: State could change between check and update
  • Recommendation: Use atomic state updates or proper locking

3. Code Duplication - modelProvider.tsx:278-1462

  • Issue: Repetitive patterns for each AI service configuration
  • Recommendation: Extract common configuration component

🐛 Potential Bugs

Critical Issues

  1. Unsafe Error Fallback - handlers.ts:89-91
return true // Error case defaults to using image
  • Risk: Failed AI decisions always use images, potentially costly
  • Fix: Return false or implement retry logic
  1. Memory Leak Risk - form.tsx:27-33
  • Issue: useEffect cleanup missing for image capture
  • Fix: Add cleanup function to cancel pending operations
  1. Infinite Loop Protection - handlers.ts:288-307
  • Issue: Loop detection logic may not catch all cases
  • Fix: Add more robust loop detection with timeouts

Medium Issues

  1. Missing Input Validation - handlers.ts:43
  • Issue: User message sent to AI without sanitization
  • Fix: Add input validation and sanitization
  1. Type Safety - modelProvider.tsx:1288-1311
  • Issue: Translation keys used with default values may not exist
  • Fix: Add proper type checking for translation keys

⚡ Performance Concerns

1. Expensive Re-renders - modelProvider.tsx:123

const isMultiModalSupported = isMultiModalModelWithToggle(
  selectAIService,
  selectAIModel,
  enableMultiModal
)
  • Issue: Computed on every render without memoization
  • Fix: Use useMemo to cache expensive computations

2. Additional API Calls - handlers.ts:29-92

  • Issue: AI decision making adds latency to every multimodal request
  • Fix: Implement caching or reduce decision frequency

3. Stream Processing Complexity - handlers.ts:419-566

  • Issue: Multiple nested while loops in stream processing
  • Fix: Simplify logic or use more efficient parsing

🔒 Security Concerns

1. API Key Exposure - modelProvider.tsx:293-301

  • Issue: API keys displayed as plain text in input fields
  • Fix: Implement input masking (type="password")

2. No Rate Limiting - handlers.ts:59-62

  • Issue: AI decision calls lack rate limiting
  • Fix: Implement rate limiting for API calls

3. Error Information Leakage - handlers.ts:65,89

  • Issue: Error details might expose internal information
  • Fix: Sanitize error messages before logging

🧪 Test Coverage

Missing Critical Tests

  1. Multimodal Decision Logic - No tests for askAIForMultiModalDecision
  2. Stream Processing - Complex parsing logic untested
  3. Error Scenarios - Error handling paths not covered
  4. Settings Persistence - No migration tests for new settings
  5. Component Integration - Form + handler interaction untested

Recommended Test Cases

// Example test structure needed
describe('Multimodal Decision Making', () => {
  it('should handle AI decision API failures gracefully')
  it('should cache AI decisions to avoid redundant calls')
  it('should sanitize user input before sending to AI')
})

📋 Recommendations

Immediate Actions (High Priority)

  1. Fix race condition in image capture logic
  2. Add API key masking in settings UI
  3. Implement rate limiting for AI decision calls
  4. Add memoization for expensive computations

Medium Priority

  1. Split large components into smaller, focused ones
  2. Add comprehensive error handling
  3. Implement caching for AI decisions
  4. Add input validation and sanitization

Long-term Improvements

  1. Add comprehensive test coverage
  2. Implement proper error boundaries
  3. Add performance monitoring
  4. Consider architectural improvements

🎯 Overall Assessment

The PR implements valuable multimodal AI features but needs attention to:

  • Code organization (large components)
  • Error handling (graceful failures)
  • Performance (unnecessary re-renders)
  • Security (API key protection)
  • Testing (comprehensive coverage)

While the functionality is solid, addressing these concerns will significantly improve maintainability and production readiness.


@claude
Copy link
Contributor

claude bot commented Jul 17, 2025

Claude finished @tegnike's task —— View job


Code Review Complete ✅

I've analyzed all 5 changed files and identified several areas for improvement regarding code quality, potential bugs, performance, security, and test coverage.

Tasks

  • Read and analyze all 5 changed files
  • Review code quality and best practices
  • Check for potential bugs or issues
  • Evaluate performance considerations
  • Identify security concerns
  • Assess test coverage implications
  • Provide detailed feedback with specific recommendations

Summary of Changes

This PR implements AI-powered multimodal decision-making features with:

  • Enhanced form component with image capture logic
  • Expanded AI service configuration options
  • AI decision-making for multimodal content usage
  • New multimodal settings and Japanese translations

🔍 Code Quality Issues

1. Large Component Problem - modelProvider.tsx:1650 lines

  • Issue: Monolithic component with 1,650+ lines is difficult to maintain
  • Impact: Hard to test, debug, and causes performance issues
  • Recommendation: Split into smaller, focused components by AI service

2. Race Condition - form.tsx:64-68

if (!homeStore.getState().modalImage) {
  homeStore.setState({ triggerShutter: true })
}
  • Issue: State could change between check and update
  • Recommendation: Use atomic state updates or proper locking

3. Code Duplication - modelProvider.tsx:278-1462

  • Issue: Repetitive patterns for each AI service configuration
  • Recommendation: Extract common configuration component

🐛 Potential Bugs

Critical Issues

  1. Unsafe Error Fallback - handlers.ts:89-91
return true // Error case defaults to using image
  • Risk: Failed AI decisions always use images, potentially costly
  • Fix: Return false or implement retry logic
  1. Memory Leak Risk - form.tsx:27-33
  • Issue: useEffect cleanup missing for image capture
  • Fix: Add cleanup function to cancel pending operations
  1. Infinite Loop Protection - handlers.ts:288-307
  • Issue: Loop detection logic may not catch all cases
  • Fix: Add more robust loop detection with timeouts

Medium Issues

  1. Missing Input Validation - handlers.ts:43
  • Issue: User message sent to AI without sanitization
  • Fix: Add input validation and sanitization
  1. Type Safety - modelProvider.tsx:1288-1311
  • Issue: Translation keys used with default values may not exist
  • Fix: Add proper type checking for translation keys

⚡ Performance Concerns

1. Expensive Re-renders - modelProvider.tsx:123

const isMultiModalSupported = isMultiModalModelWithToggle(
  selectAIService,
  selectAIModel,
  enableMultiModal
)
  • Issue: Computed on every render without memoization
  • Fix: Use useMemo to cache expensive computations

2. Additional API Calls - handlers.ts:29-92

  • Issue: AI decision making adds latency to every multimodal request
  • Fix: Implement caching or reduce decision frequency

3. Stream Processing Complexity - handlers.ts:419-566

  • Issue: Multiple nested while loops in stream processing
  • Fix: Simplify logic or use more efficient parsing

🔒 Security Concerns

1. API Key Exposure - modelProvider.tsx:293-301

  • Issue: API keys displayed as plain text in input fields
  • Fix: Implement input masking (type="password")

2. No Rate Limiting - handlers.ts:59-62

  • Issue: AI decision calls lack rate limiting
  • Fix: Implement rate limiting for API calls

3. Error Information Leakage - handlers.ts:65,89

  • Issue: Error details might expose internal information
  • Fix: Sanitize error messages before logging

🧪 Test Coverage

Missing Critical Tests

  1. Multimodal Decision Logic - No tests for askAIForMultiModalDecision
  2. Stream Processing - Complex parsing logic untested
  3. Error Scenarios - Error handling paths not covered
  4. Settings Persistence - No migration tests for new settings
  5. Component Integration - Form + handler interaction untested

Recommended Test Cases

// Example test structure needed
describe('Multimodal Decision Making', () => {
  it('should handle AI decision API failures gracefully')
  it('should cache AI decisions to avoid redundant calls')
  it('should sanitize user input before sending to AI')
})

📋 Recommendations

Immediate Actions (High Priority)

  1. Fix race condition in image capture logic
  2. Add API key masking in settings UI
  3. Implement rate limiting for AI decision calls
  4. Add memoization for expensive computations

Medium Priority

  1. Split large components into smaller, focused ones
  2. Add comprehensive error handling
  3. Implement caching for AI decisions
  4. Add input validation and sanitization

Long-term Improvements

  1. Add comprehensive test coverage
  2. Implement proper error boundaries
  3. Add performance monitoring
  4. Consider architectural improvements

🎯 Overall Assessment

The PR implements valuable multimodal AI features but needs attention to:

  • Code organization (large components)
  • Error handling (graceful failures)
  • Performance (unnecessary re-renders)
  • Security (API key protection)
  • Testing (comprehensive coverage)

While the functionality is solid, addressing these concerns will significantly improve maintainability and production readiness.


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Actionable comments posted: 0

🧹 Nitpick comments (3)
.env.example (3)

113-115: 変数作用範囲のコメントをもう少し具体化してください

コメントが「Azure, OpenRouter, ローカルLLM, カスタムAPI」と列挙していますが、実装側で実際にこのフラグが参照されるサービスを明示的に確認しておくと、将来的な誤解や機能追加時の漏れを防げます。src/features/constants/settings.ts あるいは handlers.ts などでの参照箇所を README にリンクするか、コメントに対象サービスを列挙しておくことを検討してください。


117-122: dotenv-linter の QuoteCharacter 警告対策

dotenv-linter が値を "ai-decide" と引用している行を警告しています。フラグ値にダブルクォートは不要なので、以下のようにクォートを外せば警告が解消されます。

-NEXT_PUBLIC_MULTIMODAL_MODE="ai-decide"
+NEXT_PUBLIC_MULTIMODAL_MODE=ai-decide

ただし、ハイフン入りの値をクォートしない場合はシェルごとのパース差異がないかご確認ください。


123-126: 長文プロンプトは .env ではなく JSON か設定ファイルへの移動を検討

多言語対応・改行やクォートエスケープの煩雑さを考慮すると、プロンプト文を環境変数に直接書くよりも locales/**/translation.json などに移し、環境変数ではキーのみを指定する方が保守しやすくなります。現状のままにする場合は以下のように改行やダブルクォートを適切にエスケープしてください。

-NEXT_PUBLIC_MULTIMODAL_AI_DECISION_PROMPT="あなたは画像がユーザーの質問や会話の文脈に関連するかどうかを判断するアシスタントです。直近の会話履歴とユーザーメッセージを考慮して、「はい」または「いいえ」のみで答えてください。"
+NEXT_PUBLIC_MULTIMODAL_AI_DECISION_PROMPT='あなたは画像がユーザーの質問や会話の文脈に関連するかどうかを判断するアシスタントです。直近の会話履歴とユーザーメッセージを考慮して、「はい」または「いいえ」のみで答えてください。'

シングルクォートに変更することで、日本語中のダブルクォートをエスケープせずに済みます。

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 9c25355 and 5787f0a.

📒 Files selected for processing (5)
  • .env.example (1 hunks)
  • locales/ja/translation.json (1 hunks)
  • src/features/chat/handlers.ts (2 hunks)
  • src/features/messages/messageSelectors.ts (1 hunks)
  • src/features/stores/settings.ts (3 hunks)
✅ Files skipped from review due to trivial changes (1)
  • src/features/messages/messageSelectors.ts
🚧 Files skipped from review as they are similar to previous changes (3)
  • locales/ja/translation.json
  • src/features/stores/settings.ts
  • src/features/chat/handlers.ts
🧰 Additional context used
📓 Path-based instructions (2)
.env.example

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/add-new-llm-provider.mdc
{src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json}

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/task-guides.mdc
🧠 Learnings (1)
.env.example (12)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to .env.example : In .env.example, add example environment variables for the new provider's API key(s).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts} : When implementing the input form to LLM workflow, update or create the following files: src/components/form.tsx (or related form components), src/features/chat/handlers.ts, src/features/chat/vercelAIChat.ts (or specific LLM integration), src/features/chat/aiChatFactory.ts, and src/pages/api/aiChat.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to {src/pages/api/ai/vercel.ts,app/api/ai/vercel/route.ts} : In API endpoint files (e.g., src/pages/api/ai/vercel.ts or app/api/ai/vercel/route.ts), confirm that the new provider is handled correctly via aiServiceConfig.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider's default model to the defaultModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider to related type guard functions (e.g., isVercelCloudAIService).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider name to VercelCloudAIService (or the relevant service category type).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/components/settings/modelProvider.tsx : In src/components/settings/modelProvider.tsx, add the new provider to aiServiceOptions.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/features/constants/settings.ts : src/features/constants/settings.ts - 共通設定と型定義ファイルは変更禁止(変更には承認が必要)。
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/pages/api/services/**/* : AIモデルのデフォルトバージョンは各サービスファイル内で厳密に管理されます(例: vercelAi.ts など)。
🪛 dotenv-linter (3.3.0)
.env.example

[warning] 115-115: [QuoteCharacter] The value has quote characters (', ")


[warning] 121-121: [QuoteCharacter] The value has quote characters (', ")


[warning] 125-125: [QuoteCharacter] The value has quote characters (', ")

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: claude-review

@claude
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claude bot commented Jul 17, 2025

Claude finished @tegnike's task —— View job


Code Review Complete ✅

I've analyzed all 8 changed files and identified several areas for improvement regarding code quality, potential bugs, performance, security, and test coverage.

Tasks

  • Read and analyze all 8 changed files
  • Review code quality and best practices
  • Check for potential bugs or issues
  • Evaluate performance considerations
  • Identify security concerns
  • Assess test coverage implications
  • Provide detailed feedback with specific recommendations

Summary of Changes

This PR implements AI-powered multimodal decision-making features with:

  • Enhanced form component with image capture logic
  • Expanded AI service configuration options
  • AI decision-making for multimodal content usage
  • New multimodal settings and Japanese translations

🔍 Code Quality Issues

1. Large Component Problem - modelProvider.tsx:1650 lines

  • Issue: Monolithic component with 1,650+ lines is difficult to maintain
  • Impact: Hard to test, debug, and causes performance issues
  • Recommendation: Split into smaller, focused components by AI service

2. Race Condition - form.tsx:64-68

if (!homeStore.getState().modalImage) {
  homeStore.setState({ triggerShutter: true })
}
  • Issue: State could change between check and update
  • Recommendation: Use atomic state updates or proper locking

3. Code Duplication - modelProvider.tsx:278-1462

  • Issue: Repetitive patterns for each AI service configuration
  • Recommendation: Extract common configuration component

🐛 Potential Bugs

Critical Issues

  1. Unsafe Error Fallback - handlers.ts:89-91
return true // Error case defaults to using image
  • Risk: Failed AI decisions always use images, potentially costly
  • Fix: Return false or implement retry logic
  1. Memory Leak Risk - form.tsx:27-33
  • Issue: useEffect cleanup missing for image capture
  • Fix: Add cleanup function to cancel pending operations
  1. Infinite Loop Protection - handlers.ts:288-307
  • Issue: Loop detection logic may not catch all cases
  • Fix: Add more robust loop detection with timeouts

Medium Issues

  1. Missing Input Validation - handlers.ts:43
  • Issue: User message sent to AI without sanitization
  • Fix: Add input validation and sanitization
  1. Type Safety - modelProvider.tsx:1288-1311
  • Issue: Translation keys used with default values may not exist
  • Fix: Add proper type checking for translation keys

⚡ Performance Concerns

1. Expensive Re-renders - modelProvider.tsx:123

const isMultiModalSupported = isMultiModalModelWithToggle(
  selectAIService,
  selectAIModel,
  enableMultiModal
)
  • Issue: Computed on every render without memoization
  • Fix: Use useMemo to cache expensive computations

2. Additional API Calls - handlers.ts:29-92

  • Issue: AI decision making adds latency to every multimodal request
  • Fix: Implement caching or reduce decision frequency

3. Stream Processing Complexity - handlers.ts:419-566

  • Issue: Multiple nested while loops in stream processing
  • Fix: Simplify logic or use more efficient parsing

🔒 Security Concerns

1. API Key Exposure - modelProvider.tsx:293-301

  • Issue: API keys displayed as plain text in input fields
  • Fix: Implement input masking (type="password")

2. No Rate Limiting - handlers.ts:59-62

  • Issue: AI decision calls lack rate limiting
  • Fix: Implement rate limiting for API calls

3. Error Information Leakage - handlers.ts:65,89

  • Issue: Error details might expose internal information
  • Fix: Sanitize error messages before logging

🧪 Test Coverage

Missing Critical Tests

  1. Multimodal Decision Logic - No tests for askAIForMultiModalDecision
  2. Stream Processing - Complex parsing logic untested
  3. Error Scenarios - Error handling paths not covered
  4. Settings Persistence - No migration tests for new settings
  5. Component Integration - Form + handler interaction untested

Recommended Test Cases

// Example test structure needed
describe('Multimodal Decision Making', () => {
  it('should handle AI decision API failures gracefully')
  it('should cache AI decisions to avoid redundant calls')
  it('should sanitize user input before sending to AI')
})

📋 Recommendations

Immediate Actions (High Priority)

  1. Fix race condition in image capture logic
  2. Add API key masking in settings UI
  3. Implement rate limiting for AI decision calls
  4. Add memoization for expensive computations

Medium Priority

  1. Split large components into smaller, focused ones
  2. Add comprehensive error handling
  3. Implement caching for AI decisions
  4. Add input validation and sanitization

Long-term Improvements

  1. Add comprehensive test coverage
  2. Implement proper error boundaries
  3. Add performance monitoring
  4. Consider architectural improvements

🎯 Overall Assessment

The PR implements valuable multimodal AI features but needs attention to:

  • Code organization (large components)
  • Error handling (graceful failures)
  • Performance (unnecessary re-renders)
  • Security (API key protection)
  • Testing (comprehensive coverage)

While the functionality is solid, addressing these concerns will significantly improve maintainability and production readiness.


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Actionable comments posted: 1

🧹 Nitpick comments (1)
.env.example (1)

117-122: 日本語訳の誤字を修正した方が明確です

never の日本語説明が「利用」となっており肯定形になっています。
「利用しない」もしくは「未使用」など否定形に直すと利用者が迷いません。

-# ai-decide: AIが判断, always: 常に利用, never: 利用
+# ai-decide: AIが判断, always: 常に利用, never: 利用しない
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 5787f0a and 6d5cc05.

📒 Files selected for processing (5)
  • .env.example (1 hunks)
  • locales/en/translation.json (0 hunks)
  • locales/ja/translation.json (1 hunks)
  • src/components/settings/modelProvider.tsx (29 hunks)
  • src/features/stores/settings.ts (3 hunks)
💤 Files with no reviewable changes (1)
  • locales/en/translation.json
✅ Files skipped from review due to trivial changes (1)
  • src/features/stores/settings.ts
🚧 Files skipped from review as they are similar to previous changes (2)
  • locales/ja/translation.json
  • src/components/settings/modelProvider.tsx
🧰 Additional context used
📓 Path-based instructions (2)
.env.example

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/add-new-llm-provider.mdc
{src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json}

Instructions used from:

Sources:
📄 CodeRabbit Inference Engine

  • .cursor/rules/task-guides.mdc
🧠 Learnings (1)
.env.example (11)
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/features/chat/handlers.ts,src/components/settings/modelProvider.tsx,src/features/stores/settings.ts,src/features/chat/vercelAIChat.ts,src/pages/api/aiChat.ts,src/features/chat/aiChatFactory.ts,.env.example,locales/**/translation.json} : When adding a new LLM service, update or create the following files: src/features/chat/handlers.ts, src/components/settings/modelProvider.tsx, src/features/stores/settings.ts, all localization files under locales/, src/features/chat/vercelAIChat.ts (or a new Vercel AI SDK integration file), src/pages/api/aiChat.ts, src/features/chat/aiChatFactory.ts, and .env.example for new environment variables.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to .env.example : In .env.example, add example environment variables for the new provider's API key(s).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/components/form.tsx,src/features/chat/handlers.ts,src/features/chat/vercelAIChat.ts,src/features/chat/aiChatFactory.ts,src/pages/api/aiChat.ts} : When implementing the input form to LLM workflow, update or create the following files: src/components/form.tsx (or related form components), src/features/chat/handlers.ts, src/features/chat/vercelAIChat.ts (or specific LLM integration), src/features/chat/aiChatFactory.ts, and src/pages/api/aiChat.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to {src/pages/api/ai/vercel.ts,app/api/ai/vercel/route.ts} : In API endpoint files (e.g., src/pages/api/ai/vercel.ts or app/api/ai/vercel/route.ts), confirm that the new provider is handled correctly via aiServiceConfig.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider and its models to the aiModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/aiModels.ts : In src/features/constants/aiModels.ts, add the new provider's default model to the defaultModels record.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/task-guides.mdc:0-0
Timestamp: 2025-07-08T13:47:03.372Z
Learning: Applies to {src/utils/voiceLanguage.ts,src/components/messageInputContainer.tsx,src/components/messageInput.tsx,src/hooks/useSilenceDetection.ts,src/hooks/useVoiceRecognition.ts,src/utils/audioProcessing.ts,src/utils/audioBufferManager.ts} : When handling voice-related features, update or create the following: src/utils/voiceLanguage.ts, src/components/messageInputContainer.tsx, src/components/messageInput.tsx, src/hooks/useSilenceDetection.ts, src/hooks/useVoiceRecognition.ts, src/utils/audioProcessing.ts, and src/utils/audioBufferManager.ts.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider to related type guard functions (e.g., isVercelCloudAIService).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/__tests__/features/chat/aiChatFactory.test.ts : In src/__tests__/features/chat/aiChatFactory.test.ts (or related test files), add or update test cases for the new LLM service provider.
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/add-new-llm-provider.mdc:0-0
Timestamp: 2025-07-08T13:46:02.752Z
Learning: Applies to src/features/constants/settings.ts : In src/features/constants/settings.ts, add the new provider name to VercelCloudAIService (or the relevant service category type).
Learnt from: CR
PR: tegnike/aituber-kit#0
File: .cursor/rules/api-management.mdc:0-0
Timestamp: 2025-07-08T13:46:13.093Z
Learning: Applies to src/features/constants/settings.ts : src/features/constants/settings.ts - 共通設定と型定義ファイルは変更禁止(変更には承認が必要)。
🪛 dotenv-linter (3.3.0)
.env.example

[warning] 115-115: [QuoteCharacter] The value has quote characters (', ")


[warning] 121-121: [QuoteCharacter] The value has quote characters (', ")


[warning] 125-125: [QuoteCharacter] The value has quote characters (', ")

🔇 Additional comments (1)
.env.example (1)

123-126: Prompt応答フォーマットのコード側対応確認をお願いします

デフォルトプロンプトで日本語「はい/いいえ」を要求していますが、実装側で英語 “yes”/“no” のみを判定していると常にフォールバックに流れてしまう恐れがあります。以下をご確認ください。

  • .env.example の NEXT_PUBLIC_MULTIMODAL_AI_DECISION_PROMPT で日本語応答を指定している箇所
  • コード内でAIの返答をパースするロジック(例: decision.trim().toLowerCase() === 'yes''no')が日本語「はい」「いいえ」に対応しているか
  • 英語 “yes”/“no” だけをハードコード判定している場合は、日本語対応を追加するかプロンプトを英語に統一して一致させる

Comment on lines +113 to +114
# Azure, OpenRouter, ローカルLLM, カスタムAPIのマルチモーダル機能の有効化設定(true/false) /
# Enable multimodal feature for Azure, OpenRouter, local LLM, and custom API (true/false)
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💡 Verification agent

🧩 Analysis chain

サービスリストは型定義と同期させてください

コメントに列挙されている対象サービス(Azure, OpenRouter, local LLM, custom API)が src/features/constants/settings.ts 内の is<Provider>Service 系 type-guard や aiServiceConfig の実装と食い違っていると、後続保守のパイプラインが壊れやすくなります。
サービス追加・削除のたびに本コメントを忘れず更新するか、あるいはコメントを削って README に一元管理することを検討してください。


🏁 Script executed:

#!/bin/bash
# 追加されたマルチモーダル対応サービスが型定義にも存在するか確認
fd -e ts | xargs rg --line-number -F "Azure" --context 2
fd -e ts | xargs rg --line-number -F "OpenRouter" --context 2
fd -e ts | xargs rg --line-number -F "local" --context 2
fd -e ts | xargs rg --line-number -F "custom" --context 2

Length of output: 35822


.env.example: サービスリストのコメントを型定義と同期してください

.env.example 内のコメントで列挙されている「Azure/OpenRouter/ローカルLLM/カスタムAPI」は、以下のように src/features/constants/settings.ts に定義された型・type-guard(isVercelCloudAIServiceisVercelLocalAIService)に合わせる必要があります。

  • Azure → azure
  • OpenRouter → openrouter
  • ローカルLLM → lmstudio, ollama
  • カスタムAPI → custom-api

上記キー名とコメントを一致させて修正してください。
将来的なメンテナンス性向上のため、サービス一覧はコメントではなく README 等に一元管理することもご検討ください。

🤖 Prompt for AI Agents
In .env.example around lines 113 to 114, update the comment listing services to
match the exact keys defined in src/features/constants/settings.ts, replacing
"Azure" with "azure", "OpenRouter" with "openrouter", "ローカルLLM" with "lmstudio,
ollama", and "カスタムAPI" with "custom-api". This alignment ensures consistency
between the comment and the type definitions. Consider moving this service list
to a centralized documentation like README for easier maintenance.

@tegnike tegnike merged commit 8ccf93a into develop Jul 17, 2025
8 checks passed
@tegnike tegnike deleted the claude/issue-417-20250717-1210 branch July 17, 2025 21:20
@coderabbitai coderabbitai bot mentioned this pull request Jul 20, 2025
terisuke pushed a commit to terisuke/aituber-kit that referenced this pull request Dec 5, 2025
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2 participants