Learn how to integrate Anthropic's Claude Code, an agentic coding tool, using Red Hat AI Inference Server on OpenShift. Keep the inference process private on your own infrastructure while retaining the full Claude Code workflow.

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A step-by-step guide to connecting Claude Code, Anthropic's terminal-based coding agent, to a locally hosted model via Red Hat AI Inference Server (a downstream vLLM build) running on OpenShift. By overriding Claude Code's default Anthropic environment variables to point at an OpenShift route, all inference stays on-premises. The walkthrough covers deploying the inference server with a provided Helm chart, configuring Hugging Face token secrets, tuning token limits to match hardware, and verifying requests in vLLM pod logs. A Qwen Coder model is used as the example, but any compatible model can be substituted.

Integrate Claude Code with Red Hat AI Inference Server on OpenShift