AWS explains a seven-layer architecture for production AI agents
Overview
AWS Machine Learning Blog presents the Pluggable Agentic AI Framework, a seven-layer composable reference architecture for moving multi-agent AI applications from prototype to production scale.
The post says each layer has a distinct responsibility and a stable contract.
Its reference implementation uses Amazon Bedrock Knowledge Base, LiteLLM, Strands Agents, Amazon Bedrock AgentCore, and AWS Agent Registry.
Written by AI from the articles below · updated Nov 9, 2:38 PM ET
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- AWS Machine Learning BlogOfficialAWS presents a seven-layer reference architecture for production multi-agent AI on Amazon Bedrock AgentCore
AIAWS Machine Learning Blog presents the Pluggable Agentic AI Framework, a seven-layer composable reference architecture for taking multi-agent AI applications from prototype to production scale. The post says each layer has a distinct responsibility and stable contract, and its reference implementation uses services such as Amazon Bedrock Knowledge Base, LiteLLM, Strands Agents, Amazon Bedrock AgentCore, and AWS Agent Registry.
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