AI APIs enable developers to add sophisticated AI capabilities to applications without the complexity of training models from scratch.
Popular AI APIs
OpenAI API
The most widely adopted AI API, offering GPT-5, DALL-E 3, and Whisper models with comprehensive documentation.
Anthropic Claude API
Distinguished by its extended context window and safety-first design philosophy.
Google AI APIs
The Gemini API delivers multimodal capabilities with deep Google ecosystem integration.
Getting Started
Authentication
Most AI APIs use API keys for authentication. Always store credentials securely using environment variables and never expose them in client-side code.
Rate Limiting
Implement proper rate limiting and backoff strategies to manage costs and maintain service reliability.
Error Handling
AI APIs can produce unexpected results or encounter failures. Build robust error handling with graceful fallback strategies.
Best Practices
- Implement streaming for long-form responses to improve perceived performance
- Cache responses strategically to reduce API costs
- Build comprehensive error handling with exponential retry logic
- Monitor usage metrics and costs with automated alerts
- Default to the latest stable model versions for optimal results