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klotz: local llm* + home assistant*

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1. I used a local LLM to give my smart bulb a personality (and it's starting to give me the creeps)

   An exploration of an experiment involving connecting a local Large Language Model to Home Assistant to control a smart light bulb. By assigning the AI a specific persona through custom system prompts, the author attempted to make the lighting respond emotionally to environmental data. While successful in creating reactive lighting, the experience ultimately became unsettling as the model made autonomous decisions without direct input.
   - Connecting local LLMs via LM Studio and Home Assistant
   - Using system prompts to define device personalities
   - Automating smart bulb color and brightness through AI reasoning
   - The psychological impact of unsupervised AI autonomy in a smart home environment

   2026-05-05 Tags: smart home, automation, local llm, home assistant, lm studio, llm by klotz
2. I'm running a 120B local LLM on 24GB of VRAM, and now it powers my smart home

   This article details how to run a 120B parameter LLM locally with 24GB of VRAM and 64GB of system RAM, using a setup with Proxmox LXCs, Whisper for voice transcription, and integration with Home Assistant for smart home automation.

   2025-12-29 Tags: llm, local llm, smart home, proxmox, whisper, home assistant, llama.cpp, gpt-oss by klotz
3. I set up the perfect voice pipeline in Home Assistant, and here's how I did it

   This article details how to set up a custom voice pipeline in Home Assistant using free self-hosted tools like Whisper and Piper, replacing cloud-based services for full control over speech-to-text and text-to-speech processing.

   2025-11-17 Tags: adam conway, home assistant, voice pipeline, whisper, piper, speech-to-text, text-to-speech, self-hosted, smart home, voice assistant, llm, local llm by klotz
4. I connected my local LLM to my home automations, and it's smarter than Alexa

   The series of articles by Adam Conway discusses how the author replaced cloud-based smart assistants like Alexa with a local large language model (LLM) integrated into Home Assistant, enabling more complex and private home automations.
   
   1. **Use a Local LLM**: Set up an LLM (like Qwen) locally using tools such as Ollama and OpenWeb UI.
   2. **Integrate with Home Assistant**:
   - Enable Ollama integration in Home Assistant.
   - Configure the IP and port of the LLM server.
   - Select the desired model for use within Home Assistant.
   3. **Voice Processing Tools**:
   - Use **Whisper** for speech-to-text transcription.
   - Use **Piper** for text-to-speech synthesis.
   4. **Smart Home Automation**:
   - Automate complex tasks like turning off lights and smart plugs with voice commands.
   - Use data from IP cameras (via Frigate) to control external lighting based on presence.
   5. **Hardware Recommendations**:
   - Use Home Assistant Voice Preview speaker or DIY alternatives using ESP32 or repurposed microphones.

   2025-11-17 Tags: adam conway, local llm, home assistant, smart home, alexa, voice assistant, home automation, foss, ollama, esp32 by klotz

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