Tutorial: Build a Cost-Aware AI Support Triage API (opens in new tab)

Key takeaways AI applications use a single endpoint to handle multiple complex tasks: classification, urgency scoring, customer-facing drafting, and long-form summarization. This does not account for varying cost, latency, and quality requirements. Building a FastAPI and using serverless inference infrastructure makes it possible to address these requirements through effective routing. Most AI applications start with a single model hard-coded into the app. That works well for a prototype, but...