If you're building AI-powered apps on AWS, you've probably felt the sting of Bedrock inference costs. Every token counts — and when users hammer your app with similar or identical questions, you're paying for the same answer over and over again. In this post I'll walk through a three-layer caching and optimization pipeline I built inside a single Lambda function backed by ElastiCache (Redis). By the end, you'll have a pattern that can dramatically reduce Bedrock calls in any support chatbot, internal knowledge assistant, or document Q&A tool you're shipping.…