Engrain by ByteRush

AGT.04 3 concepts

Robust LLM API calls

Call LLM APIs reliably, cheaply and observably.

  1. AGT.04.01The Messages API and SDKsCoreJuniorBeing written
  2. AGT.04.02Streaming, timeouts, retries and rate limitsCoreMid-levelBeing written
  3. AGT.04.03Cost control: prompt caching, batching and budgetsCoreMid-levelBeing written

Interview questions in this module

  1. How do you make LLM API calls reliable in production?
  2. Which errors should you retry and how?
  3. How does prompt caching work and how do you structure prompts to benefit from it?
  4. How do you stop an LLM feature from blowing your budget?
  5. When would you use a batch API?