What local LLM backends are supported by this skill?

This skill provides configuration and implementation details for both Ollama and LocalAI backends.

Can I use this skill to control my smart home devices?

Yes, it includes specific patterns for creating Home Assistant agents that use function calling to control lights, switches, climate systems, and more.

What hardware do I need to run these local models?

The skill provides recommendations based on your hardware, ranging from lightweight 1B models for fast responses to 8B+ models for complex reasoning, including GPU optimization tips.

How does this integration handle user privacy?

By facilitating the deployment of models on your own local hardware via Ollama or LocalAI, all processing stays within your private network.

Local LLM & Home Assistant Integration

Name: Local LLM & Home Assistant Integration
Author: Lobbi-Docs

byLobbi-Docs

Data Science & ML

Integrates local Large Language Models with Home Assistant and Ollama for private, high-performance smart home automation.

About

This skill empowers developers to deploy and optimize local LLMs using Ollama and LocalAI, specifically tailored for Home Assistant ecosystems. It provides comprehensive implementation patterns for privacy-first voice assistants, custom HA agents with function-calling capabilities, and detailed hardware optimization guides to ensure smooth local inference on various hardware configurations without relying on cloud services.

Key Features

Custom function-calling implementations for direct device control
Performance optimization for GPU acceleration and memory management
Tailored model recommendations for different RAM and VRAM tiers
0 GitHub stars
Ollama and LocalAI deployment via Docker and native Linux services
Home Assistant configuration patterns for local conversation agents

Use Cases

Building a privacy-focused local voice assistant for smart homes
Automating complex Home Assistant tasks using LLM reasoning and JSON actions
Hosting local AI APIs for development and testing without cloud dependency

About

Key Features

Custom function-calling implementations for direct device control
Performance optimization for GPU acceleration and memory management
Tailored model recommendations for different RAM and VRAM tiers
0 GitHub stars
Ollama and LocalAI deployment via Docker and native Linux services
Home Assistant configuration patterns for local conversation agents

Use Cases

Building a privacy-focused local voice assistant for smart homes
Automating complex Home Assistant tasks using LLM reasoning and JSON actions
Hosting local AI APIs for development and testing without cloud dependency