As a homeowner who loves integrating smart technology into daily life, I’ve been exploring ways to enhance my lighting setup. My goal is to create a system that automatically adjusts brightness and color temperature based on the time of day, whether controlled locally or via voice commands handled by an LLM. Here’s my journey so far and the questions I’m seeking answers to.
I’ve successfully set up a system using a Voice PE and Atom Echo with Google’s STT, preferring local processing with a fallback to Gemini 2.0 Flash for more complex requests. For basic controls, everything works smoothly, but I’m looking to take it a step further. I want to automate my lights so they adjust based on the time of day—brighter in the morning, warmer in the evening, and dimmer at night. This seems straightforward with Home Assistant automations triggered by regular time-based events. However, I’m unsure how to ensure the same logic applies when requests are handled by an LLM, especially when voice inputs are phrased differently.
Here’s where I’m stuck: I know how to set up local automations, but I’m not sure how to make the LLM interpret and execute the same logic. From what I understand, I can’t use Home Assistant automations for LLM-triggered actions. So, what’s the best way to make this work seamlessly in both scenarios? Ideally, I’d like to have a single codebase that handles both local and LLM executions.
Another challenge is debugging. I’d like to see the actual prompts sent to the LLM and the responses it returns to better understand how everything works. I’ve tried enabling debug mode on the Google GenAI integration, but it doesn’t seem to log the interactions. Any pointers on how to access this information would be greatly appreciated.
In summary, I’m looking for guidance on structuring my automation logic to work across both local and LLM-triggered scenarios, ideally with a unified codebase, and tips on debugging LLM interactions. If anyone has experience with similar setups or knows of resources that could help, I’d be thrilled to hear from you! 