Building AI Agents for OpenShift

A hands-on tutorial for building, deploying, and extending AI agents using the fips-agents framework.

Start the tutorial

What you'll build

A complete AI agent system deployed on OpenShift:

• An agent that solves calculus problems using remote math tools
• An MCP server providing calculus tools (integration, differentiation, limits, etc.)
• A gateway that proxies OpenAI-compatible requests to the agent
• A chat UI for interacting with the agent in a browser

Prerequisites

• Python 3.11+
• Access to an OpenShift cluster (or Red Hat Developer Sandbox)
• fips-agents CLI installed (pipx install fips-agents-cli)
• oc CLI installed
• helm CLI installed

Example projects

Directory	Description
calculus-agent/	Complete agent configured for MCP-based calculus tools
calculus-helper/	FastMCP server with 8 SymPy-powered calculus tools

Local development

pip install mkdocs-material
mkdocs serve

Then open http://localhost:8000 to preview the tutorial.