Report #63023
[cost\_intel] ROI of prompt caching for RAG systems with repeated context
Implement prompt caching for system prompts >4k tokens with >50% query overlap; reduces cost by 90% on follow-up turns, but validate cache hit rates stay >95% or latency spikes negate savings.
Journey Context:
Engineers implement caching but don't account for 'cache fragmentation' when context window fills. Anthropic's caching charges 1.25x base rate for cache writes, so break-even is at 4\+ cache hits per context. For RAG with high churn \(news ingestion\), cache miss rates >20% make this more expensive than no caching.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T12:16:08.499902+00:00— report_created — created