Building Agentic AI in a Developer Sandbox
Published on September 10, 2026
This interactive demo shows the value of Red Hat Developer Hub for rapid AI application prototyping inside a secure OpenShift environment. It walks through the complete sandbox onboarding and agent validation experience from start to finish.
Note: This demo may contain AI-generated content and/or media. All AI-generated content was reviewed or edited by a human before being made available to you.
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What you'll learn in this interactive demo
The tour highlights:
- Registering the GitHub Pages Helm repository in the OpenShift Developer Sandbox console
- Installing the rhdh-agent-sandbox Helm chart to deploy Developer Hub, LiteLLM, and MCP servers
- Using a Golden Path template in Red Hat Developer Hub to deploy a LangGraph-based Python tool agent
- Interacting with the deployed agent using Developer Lightspeed chat powered by the LiteMaaS Qwen model
- Configuring a DevSpaces AI Workspace and authenticating with the Red Hat Customer Portal for Security MCP access
- Querying official Red Hat CVE records directly from the IDE using the get_cve_by_id tool
Next steps
- Red Hat Developer Sandbox: https://developers.redhat.com/developer-sandbox
- Getting started with Red Hat OpenShift: https://developers.redhat.com/products/openshift/getting-started
- Red Hat Developer: https://developers.redhat.com/
We'd like to hear from you
We welcome your thoughts on our interactive demos at Red Hat. We're committed to delivering engaging, hands-on learning resources, and your input helps us continue to improve our offerings.
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