OCI Enterprise AI Agents provides the operational and orchestration capabilities required to run agentic applications at production scale. The uploaded course source identifies these responsibilities as hosted endpoints, runtime scaling, session management, and observability . Current Oracle documentation supports that architectural classification.

OCI Generative AI Applications provide a managed runtime for agent workloads and centralize configuration for scaling, storage, networking, authentication, and deployments. Active deployments expose managed endpoints, while autoscaling controls can increase or decrease replicas according to workload metrics. OCI's Responses API also provides conversation state, Conversations, memory, and related context-management facilities for stateful agent interaction. Operational visibility is supported through OCI metrics, monitoring, endpoint telemetry, tracing, and hosted application logs integrated with OCI Observability and Management.

Document chunking/indexing is a retrieval-processing responsibility rather than the complete agent-platform role. Prompt definition remains application logic, and OCI network routing is handled by underlying OCI networking services.

Therefore, C best represents the production responsibilities of the Enterprise AI Agents layer.

Study Guide reference/topic: OCI Enterprise AI Agents — managed runtime, deployments, autoscaling, endpoints, conversations, memory, monitoring, and observability.

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