Red Hat SummitChapter 3. Configuring a playground for your project
Configure a generative AI (gen AI) playground for your project, so that you can interact with your deployed generative AI models and connect to backend servers, such as the Model Context Protocol (MCP).
Prerequisites
- You have created a project.
- You have deployed a model in your project and added your model as an AI asset endpoint.
- If your cluster administrator has configured Model Context Protocol (MCP) servers, they are accessible within your OpenShift environment.
Procedure
Follow these steps to configure the playground:
Perform one of the following actions:
From the OpenShift AI dashboard side navigation menu, click Gen AI studio
Playground. - Select the project containing your model deployment from the Project drop-down list.
Click Create playground.
The Configure playground dialog opens.
From the OpenShift AI dashboard side navigation menu, click Gen AI studio
AI asset endpoints. - Select the project containing your model deployment from the Project drop-down list.
- Click the Models tab.
Locate the model that you want to create a playground for, and then click Add to playground
The Configure playground dialog opens.
- Select the check box next to the model deployment you want to interact with in this playground instance.
Click Create.
Wait for the playground interface to finish loading.
- Optional. Expand the MCP servers section. Select the checkbox for the appropriate MCP server instance to connect to.
Verification
- The playground interface loads successfully. The playground interface is split into two panes: one for ChatBot interaction and the other for playground configuration.
- In the configuration pane, the Model details section displays information about the selected model deployment.
- In the configuration pane, if you selected an MCP server, it shows a successful connection status within the MCP servers section.
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