Artificial Intelligence
Author: Daniel Abib
Daniel Abib is a senior specialist solutions architect at AWS, focused on generative AI and Amazon Bedrock — and passionate about serverless. He helps startups and enterprises build AI-powered applications and modernize with cloud-native architectures. A three-time Ironman finisher and four-time re:Invent speaker, he brings the same endurance mindset to building cloud solutions.
Optimizing cost and latency with Amazon Bedrock prompt caching for Anthropic models
Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks through six practical prompt caching scenarios using the Converse API: message content, system prompt, tool definition, mixed TTL, tenant isolation, and LangChain integration.
Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines
In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions pipelines, eliminating idle compute costs while your AI agent processes requests.