Infrastructure
API (Application Programming Interface)
A way for software programs to communicate with each other, allowing developers to integrate AI capabilities into their applications.
APIs for AI
When you use ChatGPT's website, you're using their interface. When you build an app that uses GPT-4, you use their API.
APIs let developers:
- Send prompts and receive responses programmatically
- Build custom interfaces and workflows
- Integrate AI into existing applications
- Automate AI-powered tasks
Common AI APIs
OpenAI API: Access to GPT-4, DALL-E, Whisper, and more.
Anthropic API: Access to Claude models.
Google AI APIs: Gemini, PaLM, and various specialized models.
Hugging Face: Thousands of open-source models via unified API.
API Pricing Models
Most AI APIs charge per usage:
- Per token: Pay for input and output tokens
- Per request: Fixed cost per API call
- Per minute/hour: Time-based for certain services
- Subscription: Fixed monthly cost for quota
Understanding pricing matters for production use where costs can scale quickly.
API vs Interface
Use the interface when:
- Exploring capabilities
- Occasional personal use
- Tasks don't require integration
Use the API when:
- Building applications
- Automating workflows
- Need custom behavior
- Volume requires better pricing