LLM Configuration¶

File: configs/llm.yaml
Command: kenzy-llm [config_path]

The LLM service processes transcribed text through a tool-calling loop and returns a spoken response. It uses LiteLLM as the model abstraction layer, so any provider LiteLLM supports works out of the box.

Full reference¶

Core¶

Key	Default	Description
host	"127.0.0.1"	Bind address
port	8766	HTTP port
log_level	"info"	What the service prints to its console
log_capture_level	"debug"	How deep the dashboard log viewer can see, independent of log_level
model	"gpt-4o"	LiteLLM model string (see Model strings)
base_url	—	Provider base URL. Required for Ollama, LM Studio, and similar local providers.
max_tool_iterations	5	Maximum skill call iterations per request before returning whatever the model has

Prompts¶

Key	Default	Description
system_prompt	(built-in)	Injected at the start of every LLM call. Defines Kenzy's persona and behavior.
voice_prompt	(built-in)	Fallback TTS style instruction used when the model does not provide one.

Location context¶

Injected into every LLM call and used as the default by location-aware skills (e.g. weather).

Key	Description
location.city	City name
location.state	State or province
location.country	Country code (e.g. "US")
location.timezone	IANA timezone (e.g. "America/New_York")
location.latitude	Decimal latitude
location.longitude	Decimal longitude

Skills¶

Key	Default	Description
skills.dir	"skills"	Your skills overlay directory, loaded in addition to the bundled built-in skills. Relative paths resolve under the config home — ~/.config/kenzy/skills, or the repo root in a dev checkout.
skills.disabled	[]	Skill function names to disable (applies to built-in and overlay skills alike) without deleting any file.

Per-skill configuration lives under skills.<skill_name> as a nested map. See Built-in Skills for the keys each skill accepts.

Model strings¶

LiteLLM encodes the provider in the model string prefix:

Provider	Example model string
OpenAI	gpt-4o, gpt-4o-mini
Anthropic	claude-opus-4-8, claude-sonnet-4-6
Ollama (local)	ollama/hermes3, ollama/llama3.1
LM Studio (local)	openai/model-name + base_url
Together AI	together_ai/meta-llama/Llama-3-70b

API keys are read automatically from the environment. See the LiteLLM provider docs for the required environment variable per provider.

Example¶

host: "127.0.0.1"
port: 8766

model: "gpt-4o"
max_tool_iterations: 5

system_prompt: |
  You are Kenzy, a helpful home assistant. Be concise and conversational.

voice_prompt: "Speak in a friendly, natural tone at a moderate pace."

location:
  city: "Raleigh"
  state: "NC"
  country: "US"
  timezone: "America/New_York"
  latitude: 35.7796
  longitude: -78.6382

skills:
  dir: skills
  disabled: []

  weather:
    units: imperial

  home_assistant:
    url: "http://homeassistant.local:8123"
    device_ids_yaml: "data/home_assistant/device_ids.yaml"
    device_ids_json: "data/home_assistant/device_ids.json"
    default_room: "living_room"