
Connect AI agents to external systems by configuring and testing HTTP requests in Oracle AI Data Platform before adding them to agent workflows. Check out the resources linked below for additional details on building AI agents and working with external system integrations in Oracle AI Data Platform.
In this tutorial, see how to configure and test an HTTP tool that helps an AI agent send information to an external system in Oracle AI Data Platform. The tutorial walks through creating an HTTP tool for an expense review workflow in which an agent can send a drafted email through an external endpoint. See how to select the POST HTTP method, enter an endpoint URL, set a timeout, and define the JavaScript Object Notation (JSON) request body expected by the endpoint. The tutorial also shows how to describe the tool and its request parameters so the agent knows what information to provide. Before connecting the tool to an agent, test the request independently by entering sample parameter values and reviewing the endpoint response. This validation helps confirm that the HTTP request is configured as expected before it becomes part of a larger agent workflow. The completed HTTP tool can then connect an AI agent to an external system and send information using the defined request. See the resources linked below for additional details and tutorials on using Oracle AI Data Platform, building AI agents, and integrating external systems.
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