Grokking Modern API Design Interview
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Capstone: Design an LLM Inference API

This lesson presents a worked answer for a 45-minute practice session:

Design an API for model inference.

The main challenge is to serve three kinds of callers with different needs while keeping the API contract consistent.

"I will design a multi-tenant inference API that accepts text input and returns text, structured output, or tool calls. It supports streaming interactive responses, asynchronous batch work, live model capability and price discovery, token estimation, usage reporting, idempotent billing, and compute limits. I will not design training, model internals, ranking mode

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