w.ai CLI Guide

To get started with the CLI, install it as mentioned in Quick Start

On a desktop environment

If on a device with a desktop environment/a browser, start by logging in:

wai login

And then run using

wai run

On a headless environment

1. Visit the w.ai dashboard.

2. Login or create a w.ai account.

3. Select API Keys and create a new key.

You now have a key that you can set on the headless environment using

export W_AI_API_KEY=your key here

And then run normally (in the headless environment) as follows:

wai run

Headless environment key management

You can list generated API keys using

wai key list

And revoke any using

wai revoke <token>

For more info, run

wai key help

Specifying GPUs (NVIDIA only)

If you want to run with a subset of your GPUs, add a -g flag to the run command followed by a list of the GPU IDs. For example, to run on GPUs 0 and 1, the command would be:

wai run -g 0 1

If no GPU is provided, it will be ran on GPU 0

Docker

For Docker/Podman linux containers, we provide optimized CLI images:

NVIDIA GPUs with CUDA (Recommended)

For optimal performance on NVIDIA GPUs:

docker run --gpus all \
           -v ~/.wombo:/root/.wombo \
           -e W_AI_API_KEY=your_key_here \
           wdotai/wai:latest run

NVIDIA drivers must be installed on the host machine to use CUDA. w.ai will fallback to Vulkan otherwise. See nvidia-container-toolkit for more info.

AMD GPUs with Vulkan

For AMD GPUs:

docker run --device=/dev/dri:/dev/dri \
           -v ~/.wombo:/root/.wombo \
           -e W_AI_API_KEY=your_key_here \
           wdotai/wai:latest run

Using environment files

Instead of passing the API key inline, you can use an environment file for better security:

1. Create a .env file:

   echo "W_AI_API_KEY=your_key_here" > .env

And specify the .env file in the docker command

docker run <GPU CONFIGURATION> \
           -v ~/.wombo:/root/.wombo \
           --env-file .env \
           wdotai/wai:latest run

MacOS

M-Series MacOS computers do not support GPU passthrough in containers. As such w.ai on MacOS is unsupported through containers and must run on the root machine.

Volume mounts

Volume mounting `~/.wombo:/root/.wombo` is highly recommended to avoid redownloading dependencies/models each time the container is restarted.