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AI Portal Docs
On this page Read this first 1/8

This tab explains the machinery behind the portal: the hosts and gateways a deployment runs, how people are signed in, how an agent works through a turn, and how documents become searchable knowledge. Each deployment serves one organisation and runs inside that customer’s own AWS account.

Start with the architecture overview if you want the whole picture on one page. For the rules that decide who pays, who can and who sees, read Concepts instead.

Read this first

Pick the path that matches why you’re here. Each list is in reading order.

  1. Architecture overview — the components, the nine layers and what leaves your account.
  2. Deployment requirements — what your infrastructure team provides, and what runs where.
  3. Data ownership and lifecycle — who owns each kind of data, and what happens when it is deleted.
  1. Deployment requirements — the readiness checklist, hosts, schemas and configuration.
  2. Identity — Keycloak, Entra ID and provisioning.
  3. Model catalog — Bedrock credentials, IAM permissions and how the gateway is kept in step.
  1. The agentic loop — model calls, tools and effort inside one turn.
  2. Turn lifecycle — from a posted message to a terminal state, with replay.
  3. Agent execution — offered tools, trace rows and the two pauses.
  4. Agent tools — the tool catalog and how tools are registered.

Overview

Platform

Identity

Agent runtime

Agent tools

Knowledge

Data and jobs

AI Portal Docs
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