Amazon Bedrock introduces prompt caching to cut input token costs by up to 90%. The feature reuses identical context across requests, reducing token usage and latency. The post outlines six use cases—message content, system prompt, tool definition, mixed TTL, tenant isolation, and LangChain integration—showing how developers can implement caching in the Converse API.
Opening Kapyn…