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Escalate difficult decisions to an advisor model

Let a regular agent handle tasks and consult a stronger model only on explicit triggers, retaining the rationale.

Goal

Let a regular agent handle tasks and consult a stronger model only on explicit triggers, retaining the rationale.

Steps

  1. Define measurable escalation triggers such as low confidence or conflicting evidence, and limit advisor context. [source12]
  2. Have the primary agent send the question, attempted steps, and evidence to the advisor; log returned advice as an auditable event. [source12]
  3. Compare answer quality and call cost before and after escalation; validate advice in the primary flow and do not grant tool authority. [source12]

How to verify

Test predefined escalation conditions and verify the stronger model receives the task, verified evidence, and escalation rationale.

Troubleshooting

If escalation is missed or overused, adjust explicit triggers and replay the same test set; record model disagreement and label advice as advice.

Permissions

Prerequisites

Permissions

Limitations

Follow the pinned source to reproduce the workflow; verify model outputs against source evidence and current API behavior.

Pinned upstream source

https://github.com/anthropics/anthropic-cookbook/blob/9c1e493ddd2b82df399d2a61b9c806c539e18be6/managed_agents/CMA_consult_an_advisor.ipynb

Repository
anthropics/anthropic-cookbook
File path
managed_agents/CMA_consult_an_advisor.ipynb
Pinned commit
9c1e493ddd2b82df399d2a61b9c806c539e18be6
Source checked
2026-10-14 · Reviewed against the pinned upstream source

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License: MIT

Main topic

Turn ecommerce campaign materials into a reviewable weekly brief

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