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Building Agentic AI in a Developer Sandbox

Interactive demo2 minsRed Hat OpenShift

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.

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What you'll learn Next steps Related resources & demos Feedback

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

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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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