Stub out AI chat.

[izakfilmalter]

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[claude]

Claude finished @izakfilmalter's task —— View job

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AI Chat Feature Review

Reviewing this substantial AI chat implementation. Here's my analysis plan:

• Analyze overall architecture and file structure
• Review API endpoints and security considerations
• Examine UI components and best practices
• Check dependency additions and potential conflicts
• Assess performance implications
• Review test coverage
• Provide comprehensive feedback

🚨 Critical Security Vulnerabilities

1. SQL Injection Vulnerability

Location: apps/openfaith/features/ai/tools.ts:619

data = await dbConnection.unsafe(query)

• Using unsafe() completely bypasses SQL injection protection
• Even with regex filtering, this is extremely dangerous
• Recommendation: Use parameterized queries or proper query builders

2. Missing Authentication/Authorization

Location: apps/openfaith/app/routes/api/ai/chat.ts

• No authentication middleware or session validation
• No rate limiting implemented
• Anyone can access and query the entire database
• Recommendation: Add proper auth middleware and rate limiting

3. Insufficient Input Validation

Location: apps/openfaith/features/ai/tools.ts:591-615

• Simple regex can be bypassed with SQL comments, Unicode, case variations
• No query complexity/size limits
• Recommendation: Use proper SQL parsers and stricter validation

⚠️ Architecture & Code Quality Issues

4. Missing Error Boundaries

• No React error boundaries in AI components
• Unhandled promise rejections could crash the UI
• Recommendation: Add comprehensive error handling

5. Zero Test Coverage

• No test files found for any AI functionality
• Critical security features completely untested
• Recommendation: Add comprehensive test suite before merging

6. Performance Concerns

• Large components (1231 lines in prompt-input.tsx)
• No code splitting for AI features
• Heavy charting dependencies loaded eagerly
• Recommendation: Implement code splitting and component optimization

7. Documentation Gap

• docs/ai-analytics.md mentions RLS implementation but code doesn't use it
• No API documentation for new endpoints
• Recommendation: Update docs to match implementation

✅ Positive Aspects

• Good component composition with the AI elements library
• Proper TypeScript usage throughout
• Clean chart implementation using Recharts
• Well-structured component hierarchy

🔧 Recommendations

Immediate Actions Required:

1. Fix SQL injection - Replace unsafe() with parameterized queries
2. Add authentication - Implement proper auth middleware
3. Add input validation - Use SQL parsers for validation
4. Add tests - Comprehensive test coverage before merge

Follow-up Actions:

1. Implement proper error boundaries
2. Add code splitting for AI features
3. Optimize large components
4. Update documentation

This PR introduces critical security vulnerabilities that must be addressed before merging.