OCI Generative AI defines two principal approaches for developing enterprise-grade agentic applications. The first is to build agents using the OCI Responses API , an API-first model that allows developers to control agent interactions through an OpenAI-compatible interface. The second is to deploy hosted agentic applications using OCI Generative AI Applications and Deployments, where OCI manages substantial portions of the application runtime infrastructure. Oracle explicitly documents these as the two main Enterprise AI Agent approaches and notes that they can also be combined in hybrid architectures.

The Responses API approach is appropriate when developers want direct programmatic control over models, tools, context, and agent behavior without independently managing inference infrastructure. Hosted agent applications are appropriate when custom agent runtimes need managed container deployment, networking, identity, storage integration, scaling, and production lifecycle support. OCI's broader Generative AI architecture positions these mechanisms within its Enterprise AI Agents layer.

The supported architecture is therefore not divided according to Python versus Java, pricing categories, or frontend versus backend classification. Option A reproduces Oracle's documented deployment choices precisely and matches the supplied examination source.

Study Guide reference/topic: OCI Enterprise AI Agents — OCI Responses API, Applications, Deployments, hosted agentic applications, and hybrid architectures.

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