The original title is: "Approval Queues Are the Runtime for Agentic AI Workflows | Focused Labs"

Short summary

Approval queues are the runtime interface for production AI agents. Effective approval items must carry complete context—action, arguments, risk, trace, permissions, decisions, timeout, escalation—not just a button. LangGraph and OpenAI's SDK both implement this by saving state through persistence and resuming from the exact checkpoint after approval, critical for audit trails and incident recovery.

• •Approval queues enable agents to pause at business-risk boundaries and wait for human decision before resuming
• •A strong approval item carries action, arguments, risk reason, owner, allowed decisions, trace link, timeout, and escalation path
• •Both LangGraph and OpenAI's SDK implement this by saving state and resuming from the same checkpoint, enabling audit and recovery

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