Deploy and invoke an agent in Oracle AI Data Platform while maintaining conversation context and monitoring production interactions. Assess agent activity with deployment sessions and metrics such as latency, session duration, token usage, and total sessions, with additional implementation details available in the resources linked below.
In this tutorial, see how to deploy an AI agent in Oracle AI Data Platform, invoke its chat endpoint, and monitor activity after deployment. The tutorial covers selecting deployment settings and accessing the chat endpoint URL that applications use to communicate with a deployed agent. It also explains how authentication information and required session variables support requests to the endpoint and how a session ID maintains conversation memory across subsequent requests. After deployment, see how deployment sessions provide visibility into conversations with the deployed endpoint, helping teams review production interactions and verify that the agent is behaving as expected. The tutorial also covers metrics for monitoring latency, session duration, token usage, and total sessions across playground and deployment activity. Finally, see how the Oracle AI Data Platform Chat Client provides a ready-to-use interface for interacting with deployed agents.
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