01
Workflow sequence
Require a completed predecessor before a dependent action.
Test missing, reordered, failed, and cross-resource predecessors.
Independent implementation planner · Source checked August 23, 2026
Design the session before the temporal rule
AgentCore temporal policies authorize a current Gateway request from bounded prior-session evidence. Use this planner to separate baseline access, trajectory evidence, tool-side invariants, and global controls before writing Dogwood.
Planning output
Use a workflow-sequence temporal condition
Baseline policy
Keep principal, action, resource, tenant, role, and current-input permissions stateless.
Policy session
Generate one ID for one transaction and send it from the first Gateway request.
Temporal evidence
Require the predecessor response in the same session before the dependent request.
Window
Use a 15-minute condition, then test both sides of the cutoff.
External control
Keep tool validation, idempotency, monitoring, and recovery outside policy.
This summary is a design aid, not a validated Dogwood policy, AWS deployment, security approval, or Flowith integration.
Pattern review
A policy is only as precise as its event contract
02
Output integrity
Match trusted prior output fields to the current request input.
Test exact match, wrong value, absent field, and schema version drift.
03
Data freshness
Require a matching response inside a risk-appropriate time window.
Test just inside, at, and just outside the cutoff.
04
One-time approval
Bind approval to one subject, scope, amount, and later execution.
Test missing, stale, mismatched, and consumed approval events.
05
Cumulative cap
Use a bounded count or sum to contain one policy session.
Test current-request inclusion and a fresh session with empty history.
Continue by implementation decision
AgentCore temporal policy planner questions
It turns a few design choices into a local planning summary covering baseline authorization, policy session scope, a recommended temporal pattern, tests, and external controls. It does not generate or deploy a production policy.
No. It runs in the page, sends no AWS request, changes no AgentCore resource, and does not establish a Flowith integration with AWS.
Current AWS documentation states a maximum 24-hour window per temporal condition. Choose a shorter window whenever the workflow requires fresher evidence.
No. AgentCore temporal history is policy-session scoped. Global user, tenant, account, or billing limits need a durable control outside the session.
No. Policy Authoring can translate clean rules into Dogwood, but owners still choose the policy layer, session boundary, event semantics, time window, unsupported-rule treatment, tests, and external controls.
Official references: AgentCore temporal policy documentation, natural-language Policy Authoring, AWS implementation guide, and Dogwood language guide. Verify current Regions, geography, authoring availability, quotas, IAM, topology, syntax, enforcement modes, and pricing before production use.