Installation¶

Note

oterm works with local and hosted LLM providers. For local models, point it at Ollama, vLLM, LM Studio, llama.cpp, or any OpenAI-compatible runner. For hosted providers (OpenAI, Anthropic, Groq, …), set the relevant API key. See Providers and API keys and the openaiCompatible config block.

uvxbrew (macOS)yay (Arch)nix-env (NixOS)pippkg (FreeBSD)

uvx oterm

brew install oterm

Maintained by Daniel Chesters.

yay -S oterm

Maintained by Gaël James.

nix-env -iA nixpkgs.oterm

pip install oterm

Maintained by Nicola Vitale.

pkg install misc/py-oterm

Spoken responses¶

The speak capability needs the speak extra, which brings in piper-tts (GPL-3.0):

uvxpip

uvx "oterm[speak]"

pip install "oterm[speak]"

Updating oterm¶

Use the same package manager you installed with.

uvxbrew (macOS)yay (Arch)nix-env (NixOS)pippkg (FreeBSD)

uvx oterm@latest

brew upgrade oterm

yay -Syu oterm

nix-env -uA nixpkgs.oterm

pip install --upgrade oterm

pkg upgrade misc/py-oterm