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description: A walkthrough of building a local voice agent for a fictional pizza shop using Red Hat OpenShift AI, covering the voice-sandwich architecture (STT → LLM →...
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# Build a local voice agent with Red Hat OpenShift AI

**[Red Hat Developer](https://daily.dev/sources/rhdev)** · 13 min read · 0 upvotes · 0 comments

## Summary

A walkthrough of building a local voice agent for a fictional pizza shop using Red Hat OpenShift AI, covering the voice-sandwich architecture (STT → LLM → TTS), model selection (Whisper, Higgs Audio, Llama 4 Scout), multi-agent orchestration with LangGraph, hardware benchmarking for TTS generation speed, observability with MLflow/OpenTelemetry, and guardrails with TrustyAI. Key lessons include measuring TTS gen-x ratio before writing client code, prompt engineering for agent handoffs, and using interrupt nodes instead of VAD for simplicity.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developers.redhat.com/articles/2026/06/08/build-local-voice-agent-red-hat-openshift-ai>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#speech-recognition](https://daily.dev/tags/speech-recognition), [#langgraph](https://daily.dev/tags/langgraph)

[View this post on daily.dev](https://daily.dev/posts/build-a-local-voice-agent-with-red-hat-openshift-ai-pjl9e0xyt)

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