Your LLM Bill Jumped After You Added Context: Find the Cache Miss Before You Downgrade the Model
This story is from 2026-10-04. It is preserved in the archive; the latest stories are on the live feed.
If your LLM API spend climbed after you added retrieval, a longer system prompt, or tool definitions, the cause is almost always input tokens being reprocessed at full price on every request — not the model you picked. Check the cache fields in the response usage object first: if cached reads are z…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-04 00:44 · DEV Community — AI
Your LLM Bill Jumped After You Added Context: Find the Cache Miss Before You Downgrade the Model