Lesson 1542 of 2116
Prompt caching strategy for high-traffic Claude agents
Use Anthropic prompt caching to cut latency and cost on the agent's static system prompt and tool list.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2prompt caching
- 3TTL
- 4cost optimization
Concept cluster
Terms to connect while reading
Section 1
The premise
A 5-minute TTL on a 20k-token system prompt can cut your bill by an order of magnitude.
What AI does well here
- Place stable system prompt and tool schemas inside the cache breakpoint
- Order messages so dynamic content lives at the tail
What AI cannot do
- Cache content that changes per user
- Promise a cache hit when traffic is sparse
Key terms in this lesson
End-of-lesson quiz
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