Chapter 3. Configure 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 Model Context Protocol (MCP) servers.
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
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 models that you want to use in this playground instance. For each model, use the Type dropdown to select Inference or Embedding.
Click Create.
Wait for the playground interface to finish loading.
Verification
- The playground interface loads successfully with a chat area and a Settings panel on the left side.
- In the Settings panel, the Model tab displays the selected model.
- The Model list in the chatbot header bar shows the name of your selected model.