The selected design maps to RAGAS cannot evaluate all safety aspects independently but provides metrics like Topic Adherence and Agent Goal Accuracy that..., which is the highest-control path for this scenario rather than a prompt-only or single-service shortcut. The NVIDIA stack component that anchors this design is NeMo Guardrails, because rails can be placed before retrieval, during dialog, around tool execution, and after generation. The system must constrain behavior at runtime, preserve reviewability, and make human accountability explicit when outputs affect regulated, safety-critical, or rights-sensitive decisions. Guardrails, audit trails, provenance, and intervention controls are stronger than relying on vague ethical prompts or undisclosed autonomous decisions. The distractors are weaker because they lean on B: RAGAS can only evaluate the quality of document retrieval but has no...; C: RAGAS is exclusively designed for hallucination detection and cannot evaluate other safety...; D: RAGAS can only be used in conjunction with other guardrail frameworks like..., which compromises traceability, resilience, scalability, or policy enforcement in production. The answer therefore fits NVIDIA's production-agent pattern: modular workflow design, measurable runtime behavior, GPU-aware serving where applicable, and controlled integration with enterprise systems.