LangChain published a new guide on prompt caching in Deep Agents, saying the approach can reduce token costs by up to 80% across major model providers.
Cost control is becoming a core requirement for production agents because long-running workflows repeatedly send instructions, tool descriptions, and context. Caching stable prompt segments can reduce waste without changing agent behavior.
The update is another sign that agent frameworks are moving from demos toward operational economics: making agents useful now includes making them affordable to run at scale.