Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock
Prompt caching on Amazon Bedrock eliminates redundant token costs for multi-turn AI agents
“Prompt caching breaks the cycle. The service stores your input prompt (instructions, tools, and content) and reuses it on the next request, at a fraction of the input price.”
AWS details how AI agents wastefully re-send their entire context (tools, instructions, history) on every turn, incurring repeated token costs. Prompt caching on Amazon Bedrock saves the computed KV state from prefill and reuses it for subsequent requests that share the same prefix. The post is a practical engineering tutorial rather than a strategic announcement, making it useful for builders but not a major industry signal.