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Large Language ModelsAmazon AI BlogPublished: Nov 10, 2026, 06:00 JST

AWS offers Pluggable Agentic AI Framework on Bedrock AgentCore

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AWS offers Pluggable Agentic AI Framework on Bedrock AgentCore

3 Key Points

  1. What happened

    The Pluggable Agentic AI Framework organizes multi-agent applications into seven layers — from data and knowledge, model and inference, orchestration, security and guardrails, application, observability, to agentic operations — with a ready-to-run retail customer support reference implementation.

  2. Why it matters

    The framework lets enterprises swap underlying technologies at each layer without redesigning the stack, so teams can keep their existing security and observability tools while filling gaps incrementally, rather than rebuilding the same scaffolding from scratch.

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Context & Analysis

The framework arrives against a familiar problem: every team building an agent tends to rebuild its own routing logic, guardrails, and observability after the fact, and a proof-of-concept only shows the model can do the task, not that it survives production traffic, cost pressure, and security review. The seven-layer design responds by fixing contracts at layer boundaries so the technology underneath can change without redesigning the rest of the stack.

The reference implementation applies this through a retail refund scenario, where a supervisor agent delegates to an Order agent and a Refund agent, and every tool call passes through AgentCore Gateway for fine-grained access control with Policy in AgentCore. The post argues for decomposing responsibilities rather than building one agent that does everything, because as tools and context accumulate, the context window grows, latency increases, and accuracy can suffer, a pattern it calls tool sprawl.

Pluggability is presented as the reason the layering matters as much as the division itself. The framework demonstrates integrations with third-party providers across inference, orchestration, application, security, and observability layers, so enterprises can retain tools they already trust and adopt new capabilities incrementally, which the post frames as protection for existing investments rather than a single-vendor commitment.

FAQ
What are the seven layers of the framework?
Data and Knowledge, Model and Inference, Orchestration, Security and Guardrails, Application, Observability, and Agentic Operations, each with a distinct responsibility and a stable contract.
What does the reference implementation cover?
It is a retail customer support scenario covering order status and refund eligibility, with a supervisor agent delegating to an Order agent and a Refund agent.
Can I use my own tools instead of the ones shown?
Yes, the services shown reflect the reference implementation, not mandatory choices, and organizations can substitute alternatives that align with their existing infrastructure.
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