bl version

curl -fsSL https://raw.githubusercontent.com/blaxel-ai/toolkit/main/install.sh | sh

brew tap blaxel-ai/blaxel && brew install blaxel

bl login my-workspace

bl apply       # Apply configuration changes to resources declaratively using YAML files.
bl chat        # Start an interactive chat session with a deployed agent.
bl connect     # Open an interactive terminal session to a sandbox
bl delete      # Delete Blaxel resources from your workspace.
bl deploy      # Deploy your Blaxel project to the cloud.
bl drive       # Manage drives and drive mounts on sandboxes.
bl get         # Retrieve information about Blaxel resources in your workspace.
bl login       # Authenticate with Blaxel to access your workspace.
bl logout      # Remove stored credentials for a workspace.
bl logs        # View logs for Blaxel resources.
bl new         # Create a new Blaxel resource from templates.
bl push        # Build and push a container image to the Blaxel registry without creating a deployment.
bl run         # Execute a Blaxel resource with custom input data.
bl serve       # Start a local development server for your Blaxel project.
bl share       # Share Blaxel resources with other workspaces in your account.
bl token       # Retrieve the authentication token for the specified workspace.
bl unshare     # Remove shared Blaxel resources from other workspaces.
bl upgrade     # Upgrade the Blaxel CLI to the latest version.
bl version     # Print the version number
bl workspaces  # List and manage Blaxel workspaces.

bl --help
bl deploy --help
bl get --help
bl get agents --help

# 1. Create a sandbox with bl apply
bl apply -f - <<EOF
apiVersion: blaxel.ai/v1alpha1
kind: Sandbox
metadata:
  name: my-sandbox
spec:
  runtime:
    image: blaxel/base-image:latest
    memory: 2048
  lifecycle:
    expirationPolicies:
      - type: ttl-idle
        value: 1h       # Delete after 1 hour of inactivity. Units: h, d, w
        action: delete
EOF

# 2. Retrieve sandbox configuration
bl get sandbox my-sandbox

# 3. Execute a command in the sandbox and get stdout of the command
bl run sandbox my-sandbox --path /process --data '{"command": "echo hello world", "name": "my-cmd", "waitForCompletion": true}'

# 4. Retrieve the logs for that command in case stdout was not sufficient
bl logs sandbox my-sandbox my-cmd

# Step 1 — agent writes /tmp/process.json with content like:
# {
#   "command": "sh -lc 'python3 -c \"print(\\\"hello\\\")\"'",
#   "name": "cve-check",
#   "waitForCompletion": true
# }
#
# Step 2 — execute it
bl run sandbox my-sandbox --path /process --file /tmp/process.json

bl new agent my-agent
cd my-agent
bl serve --hotreload    # Test locally
bl deploy               # Deploy to cloud
bl chat my-agent        # Chat with it

bl get sandboxes                    # List all
bl get sandbox my-sandbox --watch   # Watch status
bl connect sandbox my-sandbox       # Interactive terminal
bl logs sandbox my-sandbox --follow # Stream logs
bl delete sandbox my-sandbox        # Clean up

bl workspaces dev     # Switch to dev
bl deploy             # Deploy to dev
bl workspaces prod    # Switch to prod
bl deploy             # Deploy to prod