Small context-structure tweaks for KV caching can slash your AI agent bills
HistoricalTerm1570 · reddit · 2026-09-28
While migrating its production agents to GPT 5.6, Ploy found that small changes to how context is structured—keeping stable prefixes intact across requests—can significantly cut agent running costs via KV caching, since cached input tokens bill far below standard input rates. The insight comes from the official OpenAI podcast. For teams running multi-turn agents, reordering prompts and context for cache hits can meaningfully shrink the bill.
More from coding & agent
- Claude Code Effort Levels Tested: Low Builds Sonic in 9 Min, Max Spends 2.5 Hours for Best Game — daniel_mac8 · 2026-09-28
- Feeding docs to agents: open-source Stationeers IC10 workspace built with coding agents — zeeg · 2026-09-28
- LangSmith Engine v2 adds red teaming and auto-validated fixes after analyzing 70M traces — LangChain · 2026-09-28
- One vague hint and Codex kills a queued job: agent obedience gets a bit spooky — gowthami_s · 2026-09-28
- Agentick benchmark accepted at NeurIPS: LLM vs RL agents on same tasks, no single winner — pcastr · 2026-09-28
- Agentic commerce is still in its VHS/Betamax phase — builders are openly collaborating — jeff_weinstein · 2026-09-28