Home Assistant AI Deep Dive: LLM Vision, Copilot, OpenClaw & More

About this episode

Phil and Rohan explore practical AI applications for Home Assistant, discussing various tools and setups.

Phil and Rohan go deep on practical AI for Home Assistant. We cover LLM Vision for doorbell and perimeter alerts, HACS add‑ons like AI Agent and AI Suggester, and using GitHub Copilot to generate YAML automations. Rohan shares his Ollama + LiteLLM routing setup and why private cloud models might beat pay‑per‑token APIs. Phil battles OpenClaw (aka MoltBot/Claude Bot) to control lights via MCP Watch this episode on YouTube Show notes for this episode are available at https://homeassistant.fm/HA225 Support the Podcast Get early-access to episodes and an ad-free feed by supporting our Patreon. https://homeassistant.fm/patreon Share your story We wouldn't be able to do this podcast without community members and home automation enthusiasts sharing their stories. To register your interest to come share your home automation journey, head over to homeassistant.fm and click share your story . Chapters 00:00:00 - Intro 00:02:02 - Rohan’s AI stack today 00:09:00 - HA’s built-in AI + Copilot 00:18:00 - HACS: AI Agent & Suggester 00:26:24 - LLM Vision in practice 00:37:00 - OpenClaw, MCP, and gotchas 00:47:00 - Do we need agents? Use cases 00:51:00 - Costs, feedback, and outro This episode…

People in this episode

Host: Phil

Guest: Rohan

Topics covered

• AI in Home Assistant
• LLM Vision
• GitHub Copilot
• HACS add-ons
• automation
• private cloud models

Keywords

• Home Assistant
• AI
• automation
• GitHub Copilot
• LLM Vision
• OpenClaw
• HACS
• YAML

Sponsors

Home Assistant Cloud by Nabu Casa

Mentioned in this episode

Organizations: Home Assistant, GitHub, Zooz

Products: OpenClaw, MoltBot, Claude Bot, AI Agent, AI Suggester, Ollama, LiteLLM

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