LLM Application Development
Intermediate
4.5

Cut LLM Costs with Caching

Three caching strategies that dramatically reduce token spend.

0h 25m
1 lesson
1.2K students

What You'll Learn

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Tutorial Content

Where the money goes

You pay per token, per call. Caching avoids paying twice for the same work.

Three layers

  1. Exact-match cache — hash the prompt; return the stored answer for identical requests.
  2. Semantic cache — embed the query and reuse answers for similar questions above a similarity threshold.
  3. Prompt caching — many APIs let you cache a long, reused prefix (system prompt, docs) so you're billed less for it on repeat calls.

A quick win

Start with an exact-match cache around your most repetitive endpoint. It's a few lines of code and often cuts cost and latency immediately — especially for FAQs and retries.

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Tags

LLM
API