- Who
- AWS
- What
- explains a pluggable seven-layer reference architecture for production-scale multi-agent applications
- Quote
This post walks through a seven-layer composable reference architecture designed to take multi-agent AI applications from prototype to production scale.
What happened
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.
Why it matters
The seven-layer architecture connects agent design choices to production concerns such as access control, observability, and ongoing evaluation, with a retail support implementation showing how the layers fit together.
Read next
See the full storyAWS Outlines a Pluggable Seven-Layer Architecture for Production Multi-Agent ApplicationsThe story so far
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.