Human Approval

• Key points are in the visual diagram above.

Autonomous agents at scale need an emergency brake. Human approval is the last line of defense when policies and guardrails aren't enough.

Human approval is two-factor authentication for agent actions — something the agent wants to do plus something a human confirms.

Scenario

Agent prepares $2,000 refund → approval card in Slack with customer context → manager clicks Approve → `issue_refund` executes.

Solution

In Agent Security & Governance, apply Human Approval to this scenario: Agent prepares $2,000 refund → approval card in Slack with customer context → manager clicks Approve → `issue_refund` executes. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to Human Approval (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where Human Approval happens in the code.

1async def execute_with_approval(action):  # key line for Human Approval2    if action.risk_score > 0.7:3        approval = await request_human_approval(action, channel="#finance-approvals")  # key line for Human Approval4        if not approval.granted:  # key line for Human Approval5            return "Action denied by approver."  # return the result6    return await action.execute()  # return the result

• Treating Human Approval as a black box without evaluation
• Ignoring cost and latency in production
• Skipping error handling for human approval

Quick recap — the most important points from this module.