AI Agent Architecture Explained: 7 Essential Layers

Описание и применение

<p>See what sits around the model, where control should live and how a request becomes a traceable, approved action.</p> <p>Published 13 October 2026 · Barcelona Code School</p> <p><strong>AI agent architecture is the system around a model that turns a goal into controlled, observable work.</strong></p> <p>A practical design has seven layers: entry and identity, orchestration and policy, model reasoning, tools, state and memory, approval and execution, and observability and evaluation. The model may choose a next step, but code and downstream systems must enforce permissions, limits, approvals

Задача

<p>See what sits around the model, where control should live and how a request becomes a traceable, approved action.</p> <p>Published 13 October 2026 · Barcelona Code School</p> <p><strong>AI agent architecture is the system around a model that turns a goal into controlled, observable work.</strong></p> <p>A practical design has seven layers: entry and identity, orchestration and policy, model reasoning, tools, state and memory, approval and execution, and observability and evaluation. The model may choose a next step, but code and downstream systems must enforce permissions, limits, approvals

Результат

<p>See what sits around the model, where control should live and how a request becomes a traceable, approved action.</p> <p>Published 13 October 2026 · Barcelona Code School</p> <p><strong>AI agent architecture is the system around a model that turns a goal into controlled, observable work.</strong></p> <p>A practical design has seven layers: entry and identity, orchestration and policy, model reasoning, tools, state and memory, approval and execution, and observability and evaluation. The model may choose a next step, but code and downstream systems must enforce permissions, limits, approvals

Доказательства

AI Agent Architecture Explained: 7 Essential Layers

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