API best practice for AI apps

Here’s a selection of recommendations for using API keys to build AI apps.

Security tips for AI apps

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• Always verify API keys: Never trust unverified API keys
• Validate trusted context: Ensure AI operations are within user or organization boundaries
• Sanitize inputs: Clean AI inputs to prevent injection attacks
• Validate outputs: Check AI responses for harmful content
• Rate limiting: Implement stricter limits for AI endpoints

Performance tips for AI apps

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• Cache AI responses: Cache common AI responses to reduce latency
• Async processing: Use async/await for AI operations
• Timeout handling: Set reasonable timeouts for AI requests
• Resource monitoring: Track AI resource usage per user or organization

Monitoring tips for AI apps

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• Usage tracking: Monitor AI usage patterns per user or organization
• Performance metrics: Track response times and success rates
• Error logging: Log all AI-related errors with context
• Cost tracking: Monitor AI costs per organization

Integration tips for AI apps

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• Clear boundaries: Define clear limits for AI access
• Documentation: Document AI capabilities and limitations
• Testing: Test AI integration thoroughly
• Fallbacks: Provide fallback options when AI is unavailable