Human-in-the-loop execution provides the appropriate autonomy level because the agent's actions affect production deployment and access to production secrets. The agent can prepare changes and perform permitted validation, while an authorized person approves the production transition. This retains useful automation while placing human judgment at the consequential execution boundary.
GitHub Actions environments support required reviewers. A job referencing a protected environment must satisfy its protection rules before proceeding. GitHub explicitly documents that when approval is required, the job cannot access environment secrets until a required reviewer approves it. The approval gate therefore controls an operational capability, rather than merely asking the model to behave cautiously.
Option A removes the oversight required by the scenario. Option B prevents the agent from performing the requested deployment work. Option D restricts execution to non-production environments and consequently does not provide a controlled route to production.
The workflow should bind deployment to the protected production environment and align reviewer permissions with organizational policy. Relevant curriculum topics are risk-based autonomy levels, explicit authorization for compliance-sensitive changes, and least-privilege execution.
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