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1. An account and a key
Sign up in the [console](https://console.glac.ai/console/), and confirm your address from the email it sends: until then you can look, but not make anything. A new account is on the Free plan, with a first project called default. Open the project’s API keys page and make a key. The key (ak_…) is shown once: keep it somewhere safe.
A key belongs to one project and has scopes. A key made without chosen scopes has every scope but admin. That is enough for the Cube, Sandbox and Drive quickstarts; storing secrets needs a key with admin too. See projects and keys.
Every tool reads the same two environment variables:
export GLAC_API_URL=https://api.glac.ai
export GLAC_API_KEY=ak_...2. The tools
The command line, glac, is one file:
curl -fsSL https://glac.ai/install.sh | sh
glac versionInstead of the variables, glac login --api-key - reads the key from standard input and keeps it in ~/.config/glac/config.json.
The Python SDK needs Python 3.9 or later and nothing else:
pip install glacThere are SDKs for TypeScript, Go, Rust and Java too, and an MCP server that gives an AI agent the products as tools.
3. A first step with each product
Sandbox: run one command in a machine of its own.
glac run --image python:3.12 -- python3 -c 'print(6*7)'Cube: serve an image at an address of its own.
glac deploy public.ecr.aws/docker/library/python:3.12-alpine --name hello --port 8000 \
--start-command '["python3", "-m", "http.server", "8000"]'Drive: a disk that outlives its sandbox (one Drive may be up to 10 GiB on Free).
glac drives create --name data --size-bytes 1GiB
glac sandboxes create --name box --drive data:/dataEvery command takes --json and then prints what the API returned, and glac help lists the commands by product. When you are done, glac sandboxes rm box, glac drives rm data and glac cube rm hello delete what these made.
Next
- Pricing and plans: what Free includes and what usage past it costs.
- Limits: what each plan lets an account have at once.
- API reference: every call.