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
- Exact-match cache — hash the prompt; return the stored answer for identical requests.
- Semantic cache — embed the query and reuse answers for similar questions above a similarity threshold.
- 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