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AWS Outlines a Pluggable Seven-Layer Architecture for Production Multi-Agent Applications

1 reports 1 reporting sources first reported Updated 3 days ago

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AWS outlined a pluggable seven-layer reference architecture for taking multi-agent applications from prototype to production scale. Its layers cover data and knowledge, models and inference, orchestration, security, applications, observability, and agent operations. A retail customer support example shows a supervisor agent delegating order and refund tasks to specialist agents. AWS said the services in its reference implementation are not mandatory: organizations can substitute technologies to fit their infrastructure and needs. The architecture does not replace production security hardening, testing, or review.

Generated by AI from reports · Updated 3 days ago

Latest development11/10 03:05 (UTC+8)
AWS Presents a Seven-Layer Pluggable Agentic AI Reference ArchitectureAWS Machine Learning Blog

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11/10
  1. AWS Machine Learning BlogPicks
    AWS Presents a Seven-Layer Pluggable Agentic AI Reference Architecture

    AWS describes the Pluggable Agentic AI Framework, a composable seven-layer reference architecture for taking multi-agent applications from prototype to production scale. The post outlines layers for data and knowledge, model and inference, orchestration, security, application, observability, and agentic operations, while allowing organizations to substitute technologies through stable contracts. A retail customer support implementation demonstrates a supervisor delegating order and refund tasks to specialist agents.

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