chore: import upstream snapshot with attribution

libs/python/cua-cli/cua_cli/commands/__init__.py

@@ -0,0 +1,5 @@
+"""CLI commands for CUA."""
+
+from . import auth, image, mcp, sandbox, skills, trajectory
+
+__all__ = ["auth", "sandbox", "image", "skills", "mcp", "trajectory"]

libs/python/cua-cli/cua_cli/commands/auth.py

@@ -0,0 +1,392 @@
+"""Authentication commands for Cua CLI."""
+
+import argparse
+import os
+from pathlib import Path
+
+import aiohttp
+from cua_cli.auth.browser import authenticate_via_browser
+from cua_cli.auth.store import (
+    ACTIVE_WORKSPACE_KEY,
+    _get_store,
+    clear_credentials,
+    clear_legacy_credentials,
+    delete_workspace,
+    get_active_workspace,
+    get_api_key,
+    list_workspaces,
+    save_api_key,
+    save_workspace,
+    set_active_workspace,
+)
+from cua_cli.utils.async_utils import run_async
+from cua_cli.utils.output import print_error, print_info, print_success
+from cua_core.http import cua_version_headers
+
+DEFAULT_API_BASE = "https://api.cua.ai"
+
+
+def _get_api_base() -> str:
+    return os.environ.get("CUA_API_BASE", DEFAULT_API_BASE).rstrip("/")
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the auth command and subcommands.
+
+    Args:
+        subparsers: The subparsers object from the main parser
+    """
+    auth_parser = subparsers.add_parser(
+        "auth",
+        help="Authentication commands",
+        description="Manage authentication for Cua cloud services",
+    )
+
+    auth_subparsers = auth_parser.add_subparsers(
+        dest="auth_command",
+        help="Authentication command",
+    )
+
+    # login command
+    login_parser = auth_subparsers.add_parser(
+        "login",
+        help="Authenticate with Cua cloud",
+        description="Authenticate via browser or API key",
+    )
+    login_parser.add_argument(
+        "--api-key",
+        type=str,
+        help="API key for direct authentication (skips browser flow)",
+    )
+
+    # list command
+    auth_subparsers.add_parser(
+        "list",
+        help="List authenticated workspaces",
+        description="Show all authenticated workspaces",
+    )
+
+    # logout command
+    logout_parser = auth_subparsers.add_parser(
+        "logout",
+        help="Clear stored credentials",
+        description="Remove stored authentication credentials",
+    )
+    logout_parser.add_argument(
+        "--workspace",
+        type=str,
+        help="Remove credentials for a specific workspace slug",
+    )
+    logout_parser.add_argument(
+        "--all",
+        action="store_true",
+        help="Remove all workspace credentials",
+    )
+
+    # status command
+    auth_subparsers.add_parser(
+        "status",
+        help="Show authentication status and account info",
+        description="Display current user, credits, and API key info",
+    )
+
+    # env command
+    env_parser = auth_subparsers.add_parser(
+        "env",
+        help="Export API key to .env file",
+        description="Write CUA_API_KEY to .env file in current directory",
+    )
+    env_parser.add_argument(
+        "--file",
+        type=str,
+        default=".env",
+        help="Path to .env file (default: .env)",
+    )
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute auth command based on subcommand.
+
+    Args:
+        args: Parsed command-line arguments
+
+    Returns:
+        Exit code (0 for success, non-zero for failure)
+    """
+    cmd = getattr(args, "auth_command", None)
+
+    if cmd == "login":
+        return cmd_login(args)
+    elif cmd == "logout":
+        return cmd_logout(args)
+    elif cmd == "status":
+        return cmd_status(args)
+    elif cmd == "list":
+        return cmd_list(args)
+    elif cmd == "env":
+        return cmd_env(args)
+    else:
+        print_error("Usage: cua auth <command>")
+        print_info("Commands: login, logout, status, list, env")
+        return 1
+
+
+def _fetch_me(api_key: str) -> tuple[int, dict]:
+    """Call /v1/me to get workspace metadata for an API key."""
+
+    async def _do():
+        url = f"{_get_api_base()}/v1/me"
+        headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Accept": "application/json",
+            **cua_version_headers(),
+        }
+        async with aiohttp.ClientSession() as session:
+            timeout = aiohttp.ClientTimeout(total=10)
+            async with session.get(url, headers=headers, timeout=timeout) as resp:
+                try:
+                    data = await resp.json(content_type=None)
+                except Exception:
+                    text = await resp.text()
+                    return resp.status, {"error": text}
+                return resp.status, data
+
+    return run_async(_do())
+
+
+def cmd_login(args: argparse.Namespace) -> int:
+    """Handle the login command."""
+    if args.api_key:
+        # Direct API key authentication — discover workspace via /v1/me
+        api_key = args.api_key
+        print_info("Authenticating with provided API key...")
+        try:
+            status_code, data = _fetch_me(api_key)
+        except Exception as e:
+            print_error(f"Failed to reach API: {e}")
+            return 1
+
+        if status_code != 200:
+            print_error(f"API key validation failed (HTTP {status_code})")
+            return 1
+
+        ws = data.get("workspace", {})
+        org = data.get("organization", {})
+        slug = ws.get("slug")
+        if slug:
+            name = ws.get("name", slug)
+            org_name = org.get("name", "")
+            save_workspace(slug, api_key, name, org_name)
+            set_active_workspace(slug)
+            print_success(f"Authenticated and switched to workspace: {name} ({slug})")
+        else:
+            # Legacy fallback — no workspace metadata from API
+            save_api_key(api_key)
+            _get_store().delete(ACTIVE_WORKSPACE_KEY)
+            print_success("Successfully authenticated!")
+    else:
+        # Browser-based authentication
+        try:
+            result = run_async(authenticate_via_browser())
+        except TimeoutError as e:
+            print_error(str(e))
+            return 1
+        except RuntimeError as e:
+            print_error(str(e))
+            return 1
+
+        if result.workspace_slug:
+            save_workspace(
+                result.workspace_slug,
+                result.token,
+                result.workspace_name,
+                result.org_name,
+            )
+            set_active_workspace(result.workspace_slug)
+            print_success(
+                f"Authenticated and switched to workspace: "
+                f"{result.workspace_name} ({result.workspace_slug})"
+            )
+        else:
+            # Fallback if website didn't send workspace metadata
+            save_api_key(result.token)
+            _get_store().delete(ACTIVE_WORKSPACE_KEY)
+            print_success("Successfully authenticated!")
+
+    return 0
+
+
+def cmd_logout(args: argparse.Namespace) -> int:
+    """Handle the logout command."""
+    if getattr(args, "all", False):
+        clear_credentials()
+        print_success("All credentials cleared.")
+        return 0
+
+    ws_slug = getattr(args, "workspace", None)
+    if ws_slug:
+        delete_workspace(ws_slug)
+        active = get_active_workspace()
+        if active == ws_slug:
+            # Active workspace was removed — pick another or clear
+            remaining = list_workspaces()
+            if remaining:
+                set_active_workspace(remaining[0]["slug"])
+                print_info(
+                    f"Switched to workspace: {remaining[0]['name']} ({remaining[0]['slug']})"
+                )
+            else:
+                _get_store().delete(ACTIVE_WORKSPACE_KEY)
+        print_success(f"Removed credentials for workspace: {ws_slug}")
+        return 0
+
+    # No flags — remove only the active workspace
+    active = get_active_workspace()
+    if active:
+        delete_workspace(active)
+        remaining = list_workspaces()
+        if remaining:
+            set_active_workspace(remaining[0]["slug"])
+            print_success(f"Logged out of workspace: {active}")
+            print_info(
+                f"Switched to workspace: {remaining[0]['name']} ({remaining[0]['slug']}). "
+                f"Use 'cua workspace set <slug>' to switch workspaces."
+            )
+        else:
+            _get_store().delete(ACTIVE_WORKSPACE_KEY)
+            print_success(f"Logged out of workspace: {active}")
+    else:
+        clear_legacy_credentials()
+        print_success("Credentials cleared.")
+    return 0
+
+
+def cmd_list(args: argparse.Namespace) -> int:
+    """Handle the list command — show all authenticated workspaces."""
+    workspaces = list_workspaces()
+    if not workspaces:
+        print_info("No authenticated workspaces. Run 'cua auth login' to add one.")
+        return 0
+
+    # Group by org
+    by_org: dict[str, list[dict]] = {}
+    for ws in workspaces:
+        org = ws["org"] or "Unknown"
+        by_org.setdefault(org, []).append(ws)
+
+    from rich.console import Console
+
+    c = Console()
+    for org, org_workspaces in by_org.items():
+        c.print(f"[bold]{org}[/bold]")
+        for ws in org_workspaces:
+            name = ws["name"] or ws["slug"]
+            slug = ws["slug"]
+            if ws["is_active"]:
+                c.print(f"  [green]* {name} ({slug})[/green]")
+            else:
+                c.print(f"    {name} ({slug})")
+    return 0
+
+
+def cmd_status(args: argparse.Namespace) -> int:
+    """Handle the status command — show auth status and account info."""
+    api_key = get_api_key()
+    if not api_key:
+        print_error("Not logged in. Run 'cua auth login' first.")
+        return 1
+
+    try:
+        status_code, data = _fetch_me(api_key)
+    except Exception as e:
+        print_error(f"Failed to reach API: {e}")
+        return 1
+
+    if status_code == 401:
+        # Don't mutate cached workspaces if the token came from the environment
+        if os.environ.get("CUA_API_KEY"):
+            print_error("Session expired. The CUA_API_KEY environment variable is invalid.")
+            return 1
+
+        active = get_active_workspace()
+        if active:
+            delete_workspace(active)
+            print_info(f"Removed expired credentials for workspace: {active}")
+            remaining = list_workspaces()
+            if remaining:
+                set_active_workspace(remaining[0]["slug"])
+                print_info(
+                    f"Switched to workspace: {remaining[0]['name']} ({remaining[0]['slug']})"
+                )
+            else:
+                _get_store().delete(ACTIVE_WORKSPACE_KEY)
+        else:
+            clear_legacy_credentials()
+            print_info("Removed expired credentials.")
+        print_error("Session expired. Run 'cua auth login' to re-authenticate.")
+        return 1
+
+    if status_code != 200:
+        print_error(f"Failed to fetch account info (HTTP {status_code})")
+        return 1
+
+    ws = data.get("workspace", {})
+    org = data.get("organization", {})
+    credits = data.get("credits", {})
+
+    active_slug = get_active_workspace()
+    active_label = f" [active: {active_slug}]" if active_slug else ""
+    print_success(f"Logged in to cua.ai{active_label}")
+    print_info(f"  Workspace: {ws.get('name', 'unknown')} ({ws.get('slug', 'unknown')})")
+    print_info(f"  Organization: {org.get('name', 'unknown')} ({org.get('plan_type', 'unknown')})")
+    print_info(f"  Credits: {credits.get('balance', 0):.2f} remaining")
+
+    return 0
+
+
+def cmd_env(args: argparse.Namespace) -> int:
+    """Handle the env command - export API key to .env file.
+
+    Args:
+        args: Parsed command-line arguments
+
+    Returns:
+        Exit code
+    """
+    api_key = get_api_key()
+    if not api_key:
+        print_error("Not authenticated. Run 'cua auth login' first.")
+        return 1
+
+    env_file = Path(args.file)
+    env_line = f"CUA_API_KEY={api_key}"
+
+    if env_file.exists():
+        # Read existing content
+        content = env_file.read_text()
+        lines = content.splitlines()
+
+        # Check if CUA_API_KEY already exists
+        updated = False
+        for i, line in enumerate(lines):
+            if line.startswith("CUA_API_KEY="):
+                lines[i] = env_line
+                updated = True
+                break
+
+        if updated:
+            env_file.write_text("\n".join(lines) + "\n")
+            print_success(f"Updated CUA_API_KEY in {env_file}")
+        else:
+            # Append to file
+            with env_file.open("a") as f:
+                if content and not content.endswith("\n"):
+                    f.write("\n")
+                f.write(env_line + "\n")
+            print_success(f"Added CUA_API_KEY to {env_file}")
+    else:
+        # Create new file
+        env_file.write_text(env_line + "\n")
+        print_success(f"Created {env_file} with CUA_API_KEY")
+
+    return 0

libs/python/cua-cli/cua_cli/commands/image.py

@@ -0,0 +1,673 @@
+"""Image management commands for CUA CLI.
+
+Handles both cloud images (push/pull to CUA cloud) and local images
+(create, clone, shell, info).
+"""
+
+import argparse
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+import aiohttp
+from cua_cli.api.client import CloudAPIClient, calculate_file_hash, format_bytes
+from cua_cli.utils.async_utils import run_async
+from cua_cli.utils.output import (
+    print_error,
+    print_info,
+    print_json,
+    print_success,
+    print_table,
+)
+
+# Default local image storage
+LOCAL_IMAGES_DIR = Path.home() / ".local" / "share" / "cua" / "images"
+
+# Default part size for multi-part upload: 100MB
+DEFAULT_PART_SIZE = 100 * 1024 * 1024
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the image command and subcommands."""
+    for cmd_name in ("image", "img"):
+        img_parser = subparsers.add_parser(
+            cmd_name,
+            help="Image management commands",
+            description="Manage VM images (cloud and local)",
+        )
+
+        img_subparsers = img_parser.add_subparsers(
+            dest="image_command",
+            help="Image command",
+        )
+
+        # list command
+        list_parser = img_subparsers.add_parser(
+            "list",
+            aliases=["ls"],
+            help="List images",
+        )
+        list_parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output as JSON",
+        )
+        list_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="List local images only",
+        )
+        list_parser.add_argument(
+            "--cloud",
+            action="store_true",
+            help="List cloud images only (default)",
+        )
+        list_parser.add_argument(
+            "--platform",
+            type=str,
+            help="Filter local images by platform",
+        )
+        list_parser.add_argument(
+            "--format",
+            choices=["table", "json"],
+            default="table",
+            help="Output format for local images",
+        )
+
+        # push command
+        push_parser = img_subparsers.add_parser(
+            "push",
+            help="Push image to cloud storage",
+        )
+        push_parser.add_argument(
+            "name",
+            help="Image name",
+        )
+        push_parser.add_argument(
+            "--file",
+            "-f",
+            type=str,
+            help="Path to image file (default: ~/.local/share/cua/images/<name>/data.img)",
+        )
+        push_parser.add_argument(
+            "--tag",
+            type=str,
+            default="latest",
+            help="Image tag (default: latest)",
+        )
+        push_parser.add_argument(
+            "--type",
+            type=str,
+            default="qcow2",
+            choices=["qcow2", "raw", "vmdk"],
+            help="Image type (default: qcow2)",
+        )
+
+        # pull command
+        pull_parser = img_subparsers.add_parser(
+            "pull",
+            help="Pull image from cloud storage",
+        )
+        pull_parser.add_argument(
+            "name",
+            help="Image name",
+        )
+        pull_parser.add_argument(
+            "--tag",
+            type=str,
+            default="latest",
+            help="Image tag (default: latest)",
+        )
+        pull_parser.add_argument(
+            "--output",
+            "-o",
+            type=str,
+            help="Output file path",
+        )
+
+        # delete command
+        delete_parser = img_subparsers.add_parser(
+            "delete",
+            help="Delete an image",
+        )
+        delete_parser.add_argument(
+            "name",
+            help="Image name",
+        )
+        delete_parser.add_argument(
+            "--tag",
+            type=str,
+            default="latest",
+            help="Image tag (default: latest, for cloud images)",
+        )
+        delete_parser.add_argument(
+            "--force",
+            action="store_true",
+            help="Skip confirmation",
+        )
+        delete_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="Delete a local image instead of cloud",
+        )
+
+        # create command (local)
+        create_parser = img_subparsers.add_parser(
+            "create",
+            help="Create a local image from platform",
+        )
+        create_parser.add_argument(
+            "platform",
+            help="Platform name (e.g., linux-docker, windows-qemu)",
+        )
+        create_parser.add_argument("--name", help="Image name (default: same as platform)")
+        create_parser.add_argument("--iso", help="Path to ISO file (for QEMU platforms)")
+        create_parser.add_argument(
+            "--download-iso",
+            action="store_true",
+            dest="download_iso",
+            help="Download Windows 11 ISO (~6GB)",
+        )
+        create_parser.add_argument(
+            "--docker-image", dest="docker_image", help="Override Docker image"
+        )
+        create_parser.add_argument(
+            "--distro",
+            default="ubuntu",
+            choices=["ubuntu", "fedora"],
+            help="Linux distribution",
+        )
+        create_parser.add_argument(
+            "--version",
+            default="14",
+            help="OS version (e.g., 14 for Android, sonoma for macOS)",
+        )
+        create_parser.add_argument("--disk", default="64G", help="Disk size (default: 64G)")
+        create_parser.add_argument("--memory", default="8G", help="Memory (default: 8G)")
+        create_parser.add_argument("--cpus", default="8", help="CPU cores (default: 8)")
+        create_parser.add_argument(
+            "--winarena-apps",
+            action="store_true",
+            dest="winarena_apps",
+            help="Install WinArena benchmark apps (Chrome, LibreOffice, VLC, etc.)",
+        )
+        create_parser.add_argument("--detach", "-d", action="store_true", help="Run in background")
+        create_parser.add_argument("--force", action="store_true", help="Force recreation")
+        create_parser.add_argument(
+            "--skip-pull",
+            action="store_true",
+            dest="skip_pull",
+            help="Don't pull Docker image",
+        )
+        create_parser.add_argument(
+            "--no-kvm",
+            action="store_true",
+            dest="no_kvm",
+            help="Disable KVM acceleration",
+        )
+        create_parser.add_argument(
+            "--vnc-port",
+            dest="vnc_port",
+            help="VNC port (default: auto-allocate from 8006)",
+        )
+        create_parser.add_argument(
+            "--api-port",
+            dest="api_port",
+            help="API port (default: auto-allocate from 5000)",
+        )
+
+        # info command (local)
+        info_parser = img_subparsers.add_parser(
+            "info",
+            help="Show local image details",
+        )
+        info_parser.add_argument("name", help="Image name")
+
+        # clone command (local)
+        clone_parser = img_subparsers.add_parser(
+            "clone",
+            help="Clone a local image",
+        )
+        clone_parser.add_argument("source", help="Source image name")
+        clone_parser.add_argument("target", help="Target image name")
+        clone_parser.add_argument("--force", action="store_true", help="Overwrite if target exists")
+
+        # shell command (local)
+        shell_parser = img_subparsers.add_parser(
+            "shell",
+            help="Interactive shell into image (uses overlay by default)",
+        )
+        shell_parser.add_argument("name", help="Image name")
+        shell_parser.add_argument(
+            "--writable",
+            action="store_true",
+            help="Modify golden image directly (dangerous!)",
+        )
+        shell_parser.add_argument("--detach", "-d", action="store_true", help="Run in background")
+        shell_parser.add_argument(
+            "--vnc-port",
+            dest="vnc_port",
+            help="VNC port (default: auto-allocate from 8006)",
+        )
+        shell_parser.add_argument(
+            "--api-port",
+            dest="api_port",
+            help="API port (default: auto-allocate from 5000)",
+        )
+        shell_parser.add_argument("--memory", default="8G", help="Memory (default: 8G)")
+        shell_parser.add_argument("--cpus", default="8", help="CPU cores (default: 8)")
+        shell_parser.add_argument(
+            "--no-kvm",
+            action="store_true",
+            dest="no_kvm",
+            help="Disable KVM acceleration",
+        )
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute image command based on subcommand."""
+    from cua_cli.commands import local_image
+
+    cmd = getattr(args, "image_command", None)
+
+    if cmd in ("list", "ls"):
+        return cmd_list(args)
+    elif cmd == "push":
+        return cmd_push(args)
+    elif cmd == "pull":
+        return cmd_pull(args)
+    elif cmd == "delete":
+        return cmd_delete(args)
+    elif cmd == "create":
+        return local_image.cmd_create(args)
+    elif cmd == "info":
+        return local_image.cmd_info(args)
+    elif cmd == "clone":
+        return local_image.cmd_clone(args)
+    elif cmd == "shell":
+        return local_image.cmd_shell(args)
+    else:
+        print_error("Usage: cua image <command>")
+        print_info("Commands: list, push, pull, delete, create, info, clone, shell")
+        return 1
+
+
+def cmd_list(args: argparse.Namespace) -> int:
+    """List images."""
+    show_local = getattr(args, "local", False)
+    show_cloud = getattr(args, "cloud", False)
+
+    # If --local is set, delegate to local_image list
+    if show_local and not show_cloud:
+        from cua_cli.commands import local_image
+
+        return local_image.cmd_local_list(args)
+
+    # Default to cloud if neither specified, or if --cloud is set
+    if not show_local:
+        show_cloud = True
+
+    all_images = []
+
+    if show_cloud:
+        cloud_images = run_async(_list_cloud_images())
+        all_images.extend(cloud_images)
+
+    if show_local:
+        local_images = _list_local_images()
+        all_images.extend(local_images)
+
+    if getattr(args, "json", False):
+        print_json(all_images)
+        return 0
+
+    if not all_images:
+        print_info("No images found.")
+        return 0
+
+    columns = [
+        ("name", "NAME"),
+        ("type", "TYPE"),
+        ("tag", "TAG"),
+        ("size", "SIZE"),
+        ("status", "STATUS"),
+        ("created", "CREATED"),
+    ]
+
+    print_table(all_images, columns)
+    return 0
+
+
+async def _list_cloud_images() -> list[dict[str, Any]]:
+    """List cloud images."""
+    try:
+        client = CloudAPIClient()
+        images = await client.list_images()
+
+        result = []
+        for img in images:
+            versions = img.get("versions", [])
+            if versions:
+                for ver in versions:
+                    result.append(
+                        {
+                            "name": img.get("name", ""),
+                            "type": img.get("image_type", ""),
+                            "tag": ver.get("tag", ""),
+                            "size": format_bytes(ver.get("size_bytes", 0)),
+                            "status": ver.get("status", ""),
+                            "created": _format_date(ver.get("created_at", "")),
+                            "source": "cloud",
+                        }
+                    )
+            else:
+                result.append(
+                    {
+                        "name": img.get("name", ""),
+                        "type": img.get("image_type", ""),
+                        "tag": "-",
+                        "size": "-",
+                        "status": "-",
+                        "created": _format_date(img.get("created_at", "")),
+                        "source": "cloud",
+                    }
+                )
+        return result
+    except Exception as e:
+        print_error(f"Failed to list cloud images: {e}")
+        return []
+
+
+def _list_local_images() -> list[dict[str, Any]]:
+    """List local images."""
+    result = []
+
+    if not LOCAL_IMAGES_DIR.exists():
+        return result
+
+    for image_dir in LOCAL_IMAGES_DIR.iterdir():
+        if not image_dir.is_dir():
+            continue
+
+        name = image_dir.name
+        data_file = image_dir / "data.img"
+
+        if data_file.exists():
+            size = format_bytes(data_file.stat().st_size)
+            created = datetime.fromtimestamp(data_file.stat().st_mtime).strftime("%Y-%m-%d")
+        else:
+            size = "-"
+            created = "-"
+
+        result.append(
+            {
+                "name": name,
+                "type": "local",
+                "tag": "latest",
+                "size": size,
+                "status": "ready" if data_file.exists() else "incomplete",
+                "created": created,
+                "source": "local",
+            }
+        )
+
+    return result
+
+
+def _format_date(date_str: str) -> str:
+    """Format a date string."""
+    if not date_str:
+        return "-"
+    try:
+        dt = datetime.fromisoformat(date_str.replace("Z", "+00:00"))
+        return dt.strftime("%Y-%m-%d")
+    except Exception:
+        return date_str[:10] if len(date_str) >= 10 else date_str
+
+
+def cmd_push(args: argparse.Namespace) -> int:
+    """Push an image to cloud storage."""
+    name = args.name
+    tag = args.tag
+    image_type = args.type
+
+    # Determine file path
+    if args.file:
+        file_path = Path(args.file)
+    else:
+        # Look in local images directory
+        file_path = LOCAL_IMAGES_DIR / name / "data.img"
+
+    if not file_path.exists():
+        if args.file:
+            print_error(f"File not found: {file_path}")
+        else:
+            print_error(f"Image not found: {name}")
+            print_info(f"Looked in: {file_path}")
+            print_info("Use --file to specify a custom path")
+        return 1
+
+    size_bytes = file_path.stat().st_size
+    print_info(f"Pushing {file_path} ({format_bytes(size_bytes)})")
+
+    return run_async(_push_image(name, tag, image_type, file_path, size_bytes))
+
+
+async def _push_image(
+    name: str, tag: str, image_type: str, file_path: Path, size_bytes: int
+) -> int:
+    """Push an image using multi-part upload."""
+    from rich.progress import BarColumn, Progress, SpinnerColumn, TextColumn
+
+    # Calculate checksum
+    print_info("Calculating checksum...")
+    checksum = calculate_file_hash(file_path)
+    print_info(f"Checksum: {checksum}")
+
+    client = CloudAPIClient()
+
+    # Initiate upload
+    print_info("Initiating upload...")
+    status, data = await client.initiate_upload(
+        name=name,
+        tag=tag,
+        image_type=image_type,
+        size_bytes=size_bytes,
+        checksum_sha256=checksum,
+    )
+
+    if status == 401:
+        print_error("Unauthorized. Run 'cua auth login' again.")
+        return 1
+    if status == 409:
+        print_error(f"Image version already exists: {name}:{tag}")
+        return 1
+    if status not in (200, 201):
+        print_error(f"Failed to initiate upload: {data}")
+        return 1
+
+    upload_id = data.get("upload_id")
+    part_size = data.get("part_size", DEFAULT_PART_SIZE)
+    total_parts = data.get("total_parts", 1)
+
+    print_info(f"Upload session: {upload_id}")
+    print_info(f"Parts: {total_parts} x {format_bytes(part_size)}")
+
+    # Read file into memory (for simplicity - could stream for very large files)
+    file_data = file_path.read_bytes()
+
+    completed_parts = []
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+    ) as progress:
+        task = progress.add_task("Uploading...", total=total_parts)
+
+        for part_num in range(1, total_parts + 1):
+            # Get signed URL
+            status, url_data = await client.get_upload_part_url(name, upload_id, part_num)
+            if status != 200:
+                print_error(f"Failed to get upload URL for part {part_num}")
+                await client.abort_upload(name, upload_id)
+                return 1
+
+            upload_url = url_data.get("upload_url")
+
+            # Calculate part range
+            start = (part_num - 1) * part_size
+            end = min(start + part_size, size_bytes)
+            part_data = file_data[start:end]
+
+            # Upload part
+            async with aiohttp.ClientSession() as session:
+                async with session.put(
+                    upload_url,
+                    data=part_data,
+                    headers={"Content-Type": "application/octet-stream"},
+                ) as resp:
+                    if resp.status not in (200, 201):
+                        print_error(f"Failed to upload part {part_num}: {resp.status}")
+                        await client.abort_upload(name, upload_id)
+                        return 1
+
+                    etag = resp.headers.get("ETag", "")
+                    completed_parts.append({"part_number": part_num, "etag": etag})
+
+            progress.update(task, advance=1)
+
+    # Complete upload
+    print_info("Completing upload...")
+    status, result = await client.complete_upload(name, upload_id, completed_parts)
+
+    if status not in (200, 201):
+        print_error(f"Failed to complete upload: {result}")
+        return 1
+
+    print_success(f"Push complete: {name}:{tag}")
+    if isinstance(result, dict):
+        print_info(f"Version ID: {result.get('version_id', 'N/A')}")
+        print_info(f"Status: {result.get('status', 'N/A')}")
+
+    return 0
+
+
+def cmd_pull(args: argparse.Namespace) -> int:
+    """Pull an image from cloud storage."""
+    name = args.name
+    tag = args.tag
+    output_path = args.output or f"{name}-{tag}.qcow2"
+
+    print_info(f"Pulling {name}:{tag}...")
+    return run_async(_pull_image(name, tag, Path(output_path)))
+
+
+async def _pull_image(name: str, tag: str, output_path: Path) -> int:
+    """Pull an image from cloud storage."""
+    from rich.progress import (
+        BarColumn,
+        DownloadColumn,
+        Progress,
+        SpinnerColumn,
+        TextColumn,
+    )
+
+    client = CloudAPIClient()
+
+    # Get download URL
+    status, data = await client.get_download_url(name, tag)
+
+    if status == 401:
+        print_error("Unauthorized. Run 'cua auth login' again.")
+        return 1
+    if status == 404:
+        print_error(f"Image not found: {name}:{tag}")
+        return 1
+    if status != 200:
+        print_error(f"Failed to get download URL: {data}")
+        return 1
+
+    download_url = data.get("download_url")
+    size_bytes = data.get("size_bytes", 0)
+    expected_checksum = data.get("checksum_sha256", "")
+
+    print_info(f"Size: {format_bytes(size_bytes)}")
+    print_info(f"Downloading to {output_path}...")
+
+    # Download file
+    async with aiohttp.ClientSession() as session:
+        async with session.get(download_url) as resp:
+            if resp.status != 200:
+                print_error(f"Download failed: {resp.status}")
+                return 1
+
+            with Progress(
+                SpinnerColumn(),
+                TextColumn("[progress.description]{task.description}"),
+                BarColumn(),
+                DownloadColumn(),
+            ) as progress:
+                task = progress.add_task("Downloading...", total=size_bytes)
+
+                with open(output_path, "wb") as f:
+                    async for chunk in resp.content.iter_chunked(8192):
+                        f.write(chunk)
+                        progress.update(task, advance=len(chunk))
+
+    # Verify checksum
+    if expected_checksum:
+        print_info("Verifying checksum...")
+        downloaded_checksum = calculate_file_hash(output_path)
+
+        if downloaded_checksum != expected_checksum:
+            print_error("Checksum mismatch! Download may be corrupted.")
+            print_error(f"Expected: {expected_checksum}")
+            print_error(f"Got: {downloaded_checksum}")
+            return 1
+
+        print_success(f"Checksum verified: {downloaded_checksum}")
+
+    print_success(f"Pull complete: {output_path}")
+    return 0
+
+
+def cmd_delete(args: argparse.Namespace) -> int:
+    """Delete an image."""
+    # If --local flag, delegate to local_image delete
+    if getattr(args, "local", False):
+        from cua_cli.commands import local_image
+
+        return local_image.cmd_local_delete(args)
+
+    # Cloud delete
+    name = args.name
+    tag = args.tag
+
+    if not args.force:
+        print_info(f"This will delete {name}:{tag}. Use --force to confirm.")
+        return 1
+
+    print_info(f"Deleting {name}:{tag}...")
+    return run_async(_delete_image(name, tag))
+
+
+async def _delete_image(name: str, tag: str) -> int:
+    """Delete an image from cloud storage."""
+    client = CloudAPIClient()
+
+    status, data = await client.delete_image(name, tag)
+
+    if status == 401:
+        print_error("Unauthorized. Run 'cua auth login' again.")
+        return 1
+    if status == 404:
+        print_error(f"Image not found: {name}:{tag}")
+        return 1
+    if status not in (200, 202, 204):
+        print_error(f"Delete failed: {data}")
+        return 1
+
+    print_success(f"Deleted: {name}:{tag}")
+    return 0

libs/python/cua-cli/cua_cli/commands/platform.py

@@ -0,0 +1,308 @@
+"""Platform information commands.
+
+Platforms are read-only built-in configurations for different environment types.
+Each platform defines the Docker image, ports, and requirements for running
+a specific type of sandbox (linux-docker, windows-qemu, etc.).
+
+Usage:
+    cua platform list                    # Show available platforms
+    cua platform info <type>             # Show platform details
+"""
+
+import argparse
+import json
+import os
+import platform as sys_platform
+import subprocess
+from typing import Any, Dict, Optional
+
+from cua_cli.utils.output import console, print_error, print_info
+
+# =============================================================================
+# Platform Configurations
+# =============================================================================
+
+PLATFORMS: Dict[str, Dict[str, Any]] = {
+    "linux-docker": {
+        "image": "trycua/cua-xfce:latest",
+        "description": "Linux GUI container (no KVM required)",
+        "internal_vnc_port": 6901,
+        "internal_api_port": 8000,
+        "requires_kvm": False,
+        "image_marker": None,
+        "os_type": "linux",
+        "boot_timeout": 60,
+        "use_overlays": False,
+    },
+    "linux-qemu": {
+        "image": "trycua/cua-qemu-linux:latest",
+        "description": "Linux VM with QEMU/KVM (OSWorld)",
+        "internal_vnc_port": 8006,
+        "internal_api_port": 5000,
+        "requires_kvm": True,
+        "image_marker": "linux.boot",
+        "os_type": "linux",
+        "boot_timeout": 120,
+        "use_overlays": True,
+    },
+    "windows-qemu": {
+        "image": "trycua/cua-qemu-windows:latest",
+        "description": "Windows VM with QEMU/KVM (Windows Arena)",
+        "internal_vnc_port": 8006,
+        "internal_api_port": 5000,
+        "requires_kvm": True,
+        "image_marker": "windows.boot",
+        "os_type": "windows",
+        "boot_timeout": 180,
+        "use_overlays": True,
+    },
+    "android-qemu": {
+        "image": "trycua/cua-qemu-android:latest",
+        "description": "Android VM with QEMU/KVM",
+        "internal_vnc_port": 8006,
+        "internal_api_port": 5000,
+        "requires_kvm": True,
+        "image_marker": "android.boot",
+        "os_type": "android",
+        "boot_timeout": 120,
+        "use_overlays": True,
+    },
+    "macos-lume": {
+        "image": None,
+        "description": "macOS VM with Apple Virtualization (Lume, Apple Silicon only)",
+        "internal_vnc_port": None,
+        "internal_api_port": 5000,
+        "requires_kvm": False,
+        "image_marker": None,
+        "os_type": "macos",
+        "boot_timeout": 120,
+        "use_overlays": False,
+        "requires_apple_silicon": True,
+    },
+}
+
+
+# =============================================================================
+# Helper Functions
+# =============================================================================
+
+
+def check_docker() -> bool:
+    """Check if Docker is running."""
+    try:
+        result = subprocess.run(["docker", "info"], capture_output=True, timeout=10)
+        return result.returncode == 0
+    except Exception:
+        return False
+
+
+def check_kvm() -> bool:
+    """Check if KVM is available.
+
+    On Linux: checks /dev/kvm directly
+    On Windows/macOS with Docker: checks if KVM is available inside Docker's VM
+    """
+    if sys_platform.system() == "Linux":
+        return os.path.exists("/dev/kvm")
+
+    try:
+        result = subprocess.run(
+            ["docker", "run", "--rm", "--device=/dev/kvm", "alpine", "test", "-e", "/dev/kvm"],
+            capture_output=True,
+            timeout=30,
+        )
+        return result.returncode == 0
+    except Exception:
+        return False
+
+
+def check_lume() -> bool:
+    """Check if Lume is installed."""
+    try:
+        result = subprocess.run(["lume", "--version"], capture_output=True, timeout=10)
+        return result.returncode == 0
+    except Exception:
+        return False
+
+
+def check_image_exists(image_name: str) -> bool:
+    """Check if a Docker image exists locally."""
+    try:
+        result = subprocess.run(
+            ["docker", "images", "-q", image_name], capture_output=True, text=True, timeout=10
+        )
+        return bool(result.stdout.strip())
+    except Exception:
+        return False
+
+
+def get_platform_config(platform_name: str) -> Optional[Dict[str, Any]]:
+    """Get platform configuration by name."""
+    return PLATFORMS.get(platform_name)
+
+
+# =============================================================================
+# Commands
+# =============================================================================
+
+
+def cmd_list(args: argparse.Namespace) -> int:
+    """List all available platforms."""
+    output_format = getattr(args, "format", "table")
+
+    if output_format == "json":
+        print(json.dumps(PLATFORMS, indent=2))
+        return 0
+
+    print("\nPlatforms")
+    print("=" * 80)
+
+    docker_ok = check_docker()
+    kvm_ok = check_kvm()
+    lume_ok = check_lume() if sys_platform.system() == "Darwin" else False
+    is_macos = sys_platform.system() == "Darwin"
+    is_linux = sys_platform.system() == "Linux"
+
+    print("\nSystem:")
+    print(f"  Docker:  {'✓ Running' if docker_ok else '✗ Not running'}")
+    if is_linux:
+        print(f"  KVM:     {'✓ Available' if kvm_ok else '○ Not available (QEMU will be slower)'}")
+    if is_macos:
+        print(f"  Lume:    {'✓ Installed' if lume_ok else '○ Not installed'}")
+
+    print("\n" + "-" * 80)
+    print(f"\n{'PLATFORM':<18} {'DESCRIPTION':<45} {'STATUS':<12}")
+    print("-" * 80)
+
+    for name, config in PLATFORMS.items():
+        description = config.get("description", "")[:44]
+
+        if name == "macos-lume":
+            if not is_macos:
+                status = "macOS only"
+                style = "dim"
+            elif not lume_ok:
+                status = "needs Lume"
+                style = "yellow"
+            else:
+                status = "ready"
+                style = "green"
+        elif config.get("requires_kvm") and not kvm_ok:
+            if is_linux:
+                status = "no KVM"
+                style = "yellow"
+            else:
+                status = "Linux only"
+                style = "dim"
+        elif not docker_ok:
+            status = "no Docker"
+            style = "red"
+        else:
+            status = "ready"
+            style = "green"
+
+        console.print(f"{name:<18} {description:<45} [{style}]{status:<12}[/{style}]")
+
+    print("\n" + "=" * 80)
+    print("\nCommands:")
+    print("  cua platform info <type>      # Show platform details")
+    print("  cua image create <platform>   # Create image from platform")
+    print()
+
+    return 0
+
+
+def cmd_info(args: argparse.Namespace) -> int:
+    """Show detailed information about a platform."""
+    name = args.platform
+    config = get_platform_config(name)
+
+    if not config:
+        print_error(f"Unknown platform '{name}'")
+        print_info(f"Available platforms: {', '.join(PLATFORMS.keys())}")
+        return 1
+
+    print(f"\nPlatform: {name}")
+    print("=" * 60)
+
+    print(f"\nDescription: {config.get('description', '-')}")
+    print(f"OS Type:     {config.get('os_type', '-')}")
+
+    if config.get("image"):
+        print(f"Docker Image: {config['image']}")
+        if check_docker():
+            exists = check_image_exists(config["image"])
+            print(f"Image Pulled: {'✓ Yes' if exists else '✗ No'}")
+
+    print("\nPorts:")
+    if config.get("internal_api_port"):
+        print(f"  API Port (internal): {config['internal_api_port']}")
+    if config.get("internal_vnc_port"):
+        print(f"  VNC Port (internal): {config['internal_vnc_port']}")
+
+    print("\nRequirements:")
+    if config.get("requires_kvm"):
+        kvm_ok = check_kvm()
+        print(f"  KVM:    Required {'(✓ available)' if kvm_ok else '(✗ not available)'}")
+    else:
+        print("  KVM:    Not required")
+
+    if config.get("requires_apple_silicon"):
+        is_macos = sys_platform.system() == "Darwin"
+        print(
+            f"  Apple Silicon: Required {'(✓ running on macOS)' if is_macos else '(✗ not on macOS)'}"
+        )
+
+    if config.get("image_marker"):
+        print(f"\nImage Marker: {config['image_marker']}")
+        print("  (Marker file created in image directory when image is ready)")
+
+    print("\nConfiguration:")
+    print(f"  Boot Timeout: {config.get('boot_timeout', 60)}s")
+    print(f"  Use Overlays: {'Yes' if config.get('use_overlays') else 'No'}")
+
+    print("\n" + "=" * 60)
+    print("\nTo create an image from this platform:")
+    print(f"  cua image create {name}")
+    print()
+
+    return 0
+
+
+# =============================================================================
+# CLI Registration
+# =============================================================================
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the platform command with the main CLI parser."""
+    platform_parser = subparsers.add_parser(
+        "platform", help="Show available platform configurations"
+    )
+    platform_subparsers = platform_parser.add_subparsers(
+        dest="platform_command", help="Platform command"
+    )
+
+    # platform list
+    list_parser = platform_subparsers.add_parser("list", help="List all available platforms")
+    list_parser.add_argument(
+        "--format", choices=["table", "json"], default="table", help="Output format"
+    )
+
+    # platform info
+    info_parser = platform_subparsers.add_parser("info", help="Show platform details")
+    info_parser.add_argument("platform", help="Platform name (e.g., linux-docker, windows-qemu)")
+
+    platform_parser.set_defaults(platform_command="list")
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute the platform command."""
+    cmd = getattr(args, "platform_command", "list")
+
+    if cmd == "list":
+        return cmd_list(args)
+    elif cmd == "info":
+        return cmd_info(args)
+    else:
+        return cmd_list(args)

libs/python/cua-cli/cua_cli/commands/sandbox.py

@@ -0,0 +1,977 @@
+"""Sandbox management commands for CUA CLI."""
+
+import argparse
+import asyncio
+import base64
+import json
+import shutil
+import sys
+import webbrowser
+from typing import Any, Optional
+
+import aiohttp
+from cua_cli.auth.store import get_api_key, require_api_key
+from cua_cli.utils.async_utils import run_async
+from cua_cli.utils.output import (
+    print_error,
+    print_info,
+    print_json,
+    print_success,
+    print_table,
+)
+
+# ---------------------------------------------------------------------------
+# Image string parsing
+# ---------------------------------------------------------------------------
+
+_REGISTRY_HOSTNAMES = {
+    "ghcr.io",
+    "docker.io",
+    "registry.hub.docker.com",
+    "quay.io",
+    "gcr.io",
+    "registry.cua.ai",
+}
+
+_MACOS_ALIASES = {"macos", "mac", "osx"}
+_LINUX_ALIASES = {"linux", "ubuntu", "debian", "fedora"}
+_WINDOWS_ALIASES = {"windows", "win"}
+_ANDROID_ALIASES = {"android"}
+
+
+def _parse_image(image_str: str, vm: bool = False):
+    """Parse an image string into a cua_sandbox Image object.
+
+    Examples::
+
+        "macos"           -> Image.macos("26")
+        "macos:sequoia"   -> Image.macos("sequoia")
+        "ubuntu:24.04"    -> Image.linux("ubuntu", "24.04")
+        "linux"           -> Image.linux("ubuntu", "24.04")
+        "windows:11"      -> Image.windows("11")
+        "android:14"      -> Image.android("14")
+        "ghcr.io/org/img" -> Image.from_registry("ghcr.io/org/img")
+    """
+    from cua_sandbox import Image
+
+    # Registry reference: contains '/' or starts with a known registry hostname
+    if "/" in image_str:
+        host = image_str.split("/")[0]
+        if "." in host or host in _REGISTRY_HOSTNAMES:
+            return Image.from_registry(image_str)
+    for rh in _REGISTRY_HOSTNAMES:
+        if image_str.startswith(rh):
+            return Image.from_registry(image_str)
+
+    # Split on ':'
+    parts = image_str.split(":", 1)
+    base = parts[0].lower()
+    tag = parts[1] if len(parts) > 1 else None
+
+    if base in _MACOS_ALIASES:
+        version = tag or "26"
+        return Image.macos(version)
+
+    if base in _LINUX_ALIASES:
+        distro = base if base != "linux" else "ubuntu"
+        version = tag or "24.04"
+        kind = "vm" if vm else "container"
+        return Image.linux(distro, version, kind=kind)
+
+    if base in _WINDOWS_ALIASES:
+        version = tag or "11"
+        return Image.windows(version)
+
+    if base in _ANDROID_ALIASES:
+        version = tag or "14"
+        return Image.android(version)
+
+    # Unknown — try registry
+    return Image.from_registry(image_str)
+
+
+# ---------------------------------------------------------------------------
+# Memory / disk parsing
+# ---------------------------------------------------------------------------
+
+
+def _parse_memory(s: str) -> int:
+    """Convert a memory string to MB.
+
+    "8GB"    -> 8192
+    "8192MB" -> 8192
+    "8"      -> 8192  (bare number treated as GB)
+    """
+    s = s.strip()
+    if s.upper().endswith("GB"):
+        return int(float(s[:-2])) * 1024
+    if s.upper().endswith("MB"):
+        return int(float(s[:-2]))
+    # Bare number — treat as GB
+    return int(float(s)) * 1024
+
+
+def _parse_disk(s: str) -> int:
+    """Convert a disk string to GB.
+
+    "50GB" -> 50
+    "50"   -> 50
+    "51200MB" -> 50
+    """
+    s = s.strip()
+    if s.upper().endswith("GB"):
+        return int(float(s[:-2]))
+    if s.upper().endswith("MB"):
+        return int(float(s[:-2])) // 1024
+    return int(float(s))
+
+
+# ---------------------------------------------------------------------------
+# Sandbox API URL resolution (for shell / exec)
+# ---------------------------------------------------------------------------
+
+
+async def _get_sandbox_api_url(name: str, local: bool) -> tuple[str, Optional[str]]:
+    """Resolve the computer-server API URL and optional api_key for a sandbox.
+
+    Returns:
+        Tuple of (api_url, api_key_or_none)
+    """
+    if local:
+        from cua_sandbox import sandbox_state
+
+        state = sandbox_state.load(name)
+        if not state:
+            raise ValueError(f"Local sandbox '{name}' not found. Check ~/.cua/sandboxes/")
+        url = f"http://{state['host']}:{state['api_port']}"
+        return url, None
+
+    api_key = require_api_key()
+    from cua_sandbox.transport.cloud import CloudTransport, cloud_get_vm
+
+    vm = await cloud_get_vm(name, api_key=api_key)
+    if not vm:
+        raise ValueError(f"Sandbox '{name}' not found")
+    if vm.get("status") == "not_found":
+        raise ValueError(f"Sandbox '{name}' not found")
+    url = CloudTransport._resolve_endpoint(vm)
+    if not url:
+        raise ValueError(f"Sandbox '{name}' has no API URL (is it running?)")
+    return url, api_key
+
+
+# ---------------------------------------------------------------------------
+# Parser registration
+# ---------------------------------------------------------------------------
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the sandbox command and subcommands."""
+    for cmd_name in ("sandbox", "sb"):
+        sb_parser = subparsers.add_parser(
+            cmd_name,
+            help="Sandbox management commands",
+            description="Manage cloud and local sandboxes",
+        )
+
+        sb_subparsers = sb_parser.add_subparsers(
+            dest="sandbox_command",
+            help="Sandbox command",
+        )
+
+        # -- launch ----------------------------------------------------------
+        launch_parser = sb_subparsers.add_parser(
+            "launch",
+            help="Launch a new sandbox",
+        )
+        launch_parser.add_argument(
+            "image",
+            help="Image to launch (e.g. macos, ubuntu:24.04, windows:11)",
+        )
+        launch_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="Launch a local sandbox",
+        )
+        launch_parser.add_argument(
+            "--name",
+            default=None,
+            help="Sandbox name",
+        )
+        launch_parser.add_argument(
+            "--vm",
+            action="store_true",
+            help="Force VM kind for Linux images (default: container)",
+        )
+        launch_parser.add_argument(
+            "--cpu",
+            type=int,
+            default=None,
+            help="Number of vCPUs",
+        )
+        launch_parser.add_argument(
+            "--memory",
+            default=None,
+            help="Memory (e.g. 8GB, 4096MB)",
+        )
+        launch_parser.add_argument(
+            "--disk",
+            default=None,
+            help="Disk size (e.g. 50GB)",
+        )
+        launch_parser.add_argument(
+            "--region",
+            default=None,
+            help="Cloud region",
+        )
+        launch_parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output as JSON",
+        )
+
+        # -- ls / list -------------------------------------------------------
+        ls_parser = sb_subparsers.add_parser(
+            "ls",
+            aliases=["list"],
+            help="List sandboxes",
+        )
+        ls_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="List local sandboxes",
+        )
+        ls_parser.add_argument(
+            "--all",
+            action="store_true",
+            help="List both local and cloud sandboxes",
+        )
+        ls_parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output as JSON",
+        )
+
+        # -- info ------------------------------------------------------------
+        info_parser = sb_subparsers.add_parser(
+            "info",
+            aliases=["get"],
+            help="Get sandbox details",
+        )
+        info_parser.add_argument(
+            "name",
+            help="Sandbox name",
+        )
+        info_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="Target a local sandbox",
+        )
+        info_parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output as JSON",
+        )
+
+        # -- suspend ---------------------------------------------------------
+        suspend_parser = sb_subparsers.add_parser(
+            "suspend",
+            help="Suspend a sandbox (preserves memory state)",
+        )
+        suspend_parser.add_argument("name", help="Sandbox name")
+        suspend_parser.add_argument("--local", action="store_true", help="Target a local sandbox")
+
+        # -- resume ----------------------------------------------------------
+        resume_parser = sb_subparsers.add_parser(
+            "resume",
+            help="Resume a suspended sandbox",
+        )
+        resume_parser.add_argument("name", help="Sandbox name")
+        resume_parser.add_argument("--local", action="store_true", help="Target a local sandbox")
+
+        # -- restart ---------------------------------------------------------
+        restart_parser = sb_subparsers.add_parser(
+            "restart",
+            help="Restart a sandbox",
+        )
+        restart_parser.add_argument("name", help="Sandbox name")
+        restart_parser.add_argument("--local", action="store_true", help="Target a local sandbox")
+
+        # -- delete ----------------------------------------------------------
+        delete_parser = sb_subparsers.add_parser(
+            "delete",
+            help="Delete a sandbox",
+        )
+        delete_parser.add_argument("name", help="Sandbox name")
+        delete_parser.add_argument("--local", action="store_true", help="Target a local sandbox")
+        delete_parser.add_argument(
+            "--force",
+            action="store_true",
+            help="Skip confirmation prompt",
+        )
+
+        # -- vnc -------------------------------------------------------------
+        vnc_parser = sb_subparsers.add_parser(
+            "vnc",
+            help="Open sandbox in browser via VNC",
+        )
+        vnc_parser.add_argument("name", help="Sandbox name")
+        vnc_parser.add_argument("--local", action="store_true", help="Target a local sandbox")
+
+        # -- shell -----------------------------------------------------------
+        shell_parser = sb_subparsers.add_parser(
+            "shell",
+            help="Open interactive shell or run command in sandbox",
+        )
+        shell_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="Target a local sandbox",
+        )
+        shell_parser.add_argument(
+            "--cols",
+            type=int,
+            default=None,
+            help="Terminal width (default: auto-detect)",
+        )
+        shell_parser.add_argument(
+            "--rows",
+            type=int,
+            default=None,
+            help="Terminal height (default: auto-detect)",
+        )
+        shell_parser.add_argument("name", help="Sandbox name")
+        shell_parser.add_argument(
+            "shell_command",
+            nargs=argparse.REMAINDER,
+            help="Command to run (optional, opens interactive shell if omitted)",
+        )
+
+        # -- exec ------------------------------------------------------------
+        exec_parser = sb_subparsers.add_parser(
+            "exec",
+            help="Execute command in sandbox (non-interactive)",
+        )
+        exec_parser.add_argument(
+            "--local",
+            action="store_true",
+            help="Target a local sandbox",
+        )
+        exec_parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output as JSON",
+        )
+        exec_parser.add_argument("name", help="Sandbox name")
+        exec_parser.add_argument(
+            "exec_command",
+            nargs=argparse.REMAINDER,
+            help="Command to execute",
+        )
+
+
+# ---------------------------------------------------------------------------
+# execute() dispatcher
+# ---------------------------------------------------------------------------
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute sandbox command based on subcommand."""
+    cmd = getattr(args, "sandbox_command", None)
+
+    if cmd == "launch":
+        return cmd_launch(args)
+    elif cmd in ("ls", "list"):
+        return cmd_ls(args)
+    elif cmd in ("info", "get"):
+        return cmd_info(args)
+    elif cmd == "suspend":
+        return cmd_suspend(args)
+    elif cmd == "resume":
+        return cmd_resume(args)
+    elif cmd == "restart":
+        return cmd_restart(args)
+    elif cmd == "delete":
+        return cmd_delete(args)
+    elif cmd == "vnc":
+        return cmd_vnc(args)
+    elif cmd == "shell":
+        return cmd_shell(args)
+    elif cmd == "exec":
+        return cmd_exec(args)
+    else:
+        print_error("Usage: cua sandbox <command>")
+        print_info("Commands: launch, ls, info, suspend, resume, restart, delete, vnc, shell, exec")
+        return 1
+
+
+# ---------------------------------------------------------------------------
+# Command implementations
+# ---------------------------------------------------------------------------
+
+
+def cmd_launch(args: argparse.Namespace) -> int:
+    """Launch a new sandbox."""
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        image = _parse_image(args.image, vm=getattr(args, "vm", False))
+
+        memory_mb = _parse_memory(args.memory) if args.memory else None
+        disk_gb = _parse_disk(args.disk) if args.disk else None
+
+        local = getattr(args, "local", False)
+
+        try:
+            if local:
+                sb = await Sandbox.create(
+                    image,
+                    local=True,
+                    name=args.name,
+                )
+            else:
+                create_kwargs: dict[str, Any] = {}
+                if args.name:
+                    create_kwargs["name"] = args.name
+                if args.region:
+                    create_kwargs["region"] = args.region
+                if getattr(args, "cpu", None):
+                    create_kwargs["cpu"] = args.cpu
+                if memory_mb is not None:
+                    create_kwargs["memory_mb"] = memory_mb
+                if disk_gb is not None:
+                    create_kwargs["disk_gb"] = disk_gb
+                api_key = require_api_key()
+                create_kwargs["api_key"] = api_key
+                sb = await Sandbox.create(image, **create_kwargs)
+
+            name = sb.name
+            await sb.disconnect()
+        except Exception as e:
+            import traceback
+
+            print_error(f"Failed to launch sandbox: {e!r}\n{traceback.format_exc()}")
+            return 1
+
+        if getattr(args, "json", False):
+            print_json({"name": name, "status": "ready"})
+        else:
+            print_success(f"Sandbox '{name}' is ready")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_ls(args: argparse.Namespace) -> int:
+    """List sandboxes."""
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        show_all = getattr(args, "all", False)
+        local = getattr(args, "local", False)
+        as_json = getattr(args, "json", False)
+
+        results: list[dict] = []
+
+        if show_all or local:
+            try:
+                local_list = await Sandbox.list(local=True)
+                for s in local_list:
+                    results.append(
+                        {
+                            "name": s.name,
+                            "status": s.status,
+                            "source": getattr(s, "source", "local"),
+                        }
+                    )
+            except Exception:
+                pass
+
+        if show_all or not local:
+            try:
+                api_key = get_api_key()
+                cloud_list = await Sandbox.list(local=False, api_key=api_key)
+                for s in cloud_list:
+                    results.append(
+                        {
+                            "name": s.name,
+                            "status": s.status,
+                            "source": "cloud",
+                        }
+                    )
+            except Exception:
+                pass
+
+        if as_json:
+            print_json(results)
+            return 0
+
+        if not results:
+            print_info("No sandboxes found.")
+            return 0
+
+        print_table(
+            results,
+            [("name", "NAME"), ("status", "STATUS"), ("source", "SOURCE")],
+        )
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_info(args: argparse.Namespace) -> int:
+    """Get sandbox details."""
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            info = await Sandbox.get_info(args.name, local=local, **kwargs)
+        except Exception as e:
+            print_error(str(e))
+            return 1
+
+        if getattr(args, "json", False):
+            data = {
+                "name": info.name,
+                "status": info.status,
+            }
+            for attr in ("os_type", "host", "region", "created_at", "cpu", "memory_mb", "disk_gb"):
+                val = getattr(info, attr, None)
+                if val is not None:
+                    data[attr] = val
+            print_json(data)
+            return 0
+
+        print_info(f"Name:   {info.name}")
+        print_info(f"Status: {info.status}")
+        for attr, label in [
+            ("os_type", "OS"),
+            ("host", "Host"),
+            ("region", "Region"),
+            ("created_at", "Created"),
+        ]:
+            val = getattr(info, attr, None)
+            if val:
+                print_info(f"{label}: {val}")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_suspend(args: argparse.Namespace) -> int:
+    """Suspend a sandbox."""
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            await Sandbox.suspend(args.name, local=local, **kwargs)
+        except Exception as e:
+            print_error(f"Failed to suspend sandbox: {e}")
+            return 1
+        print_success(f"Sandbox '{args.name}' is suspending.")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_resume(args: argparse.Namespace) -> int:
+    """Resume a suspended sandbox."""
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            await Sandbox.resume(args.name, local=local, **kwargs)
+        except Exception as e:
+            print_error(f"Failed to resume sandbox: {e}")
+            return 1
+        print_success(f"Sandbox '{args.name}' is resuming.")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_restart(args: argparse.Namespace) -> int:
+    """Restart a sandbox."""
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            await Sandbox.restart(args.name, local=local, **kwargs)
+        except Exception as e:
+            print_error(f"Failed to restart sandbox: {e}")
+            return 1
+        print_success(f"Sandbox '{args.name}' is restarting.")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_delete(args: argparse.Namespace) -> int:
+    """Delete a sandbox."""
+    local = getattr(args, "local", False)
+    force = getattr(args, "force", False)
+
+    if not force:
+        import sys
+
+        if not sys.stdin.isatty():
+            force = True
+        else:
+            try:
+                answer = input(f"Delete sandbox '{args.name}'? [y/N] ").strip().lower()
+            except (EOFError, KeyboardInterrupt):
+                print()
+                return 1
+            if answer not in ("y", "yes"):
+                print_info("Aborted.")
+                return 0
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            await Sandbox.delete(args.name, local=local, **kwargs)
+        except Exception as e:
+            print_error(f"Failed to delete sandbox: {e}")
+            return 1
+        print_success(f"Sandbox '{args.name}' is being deleted.")
+        return 0
+
+    return run_async(_run())
+
+
+def cmd_vnc(args: argparse.Namespace) -> int:
+    """Open sandbox in browser via VNC."""
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        from cua_sandbox import Sandbox
+
+        try:
+            kwargs: dict[str, Any] = {}
+            if not local:
+                kwargs["api_key"] = require_api_key()
+            sb = await Sandbox.connect(args.name, local=local, **kwargs)
+            vnc_url = await sb.get_display_url(share=True)
+            await sb.disconnect()
+        except Exception as e:
+            print_error(f"Failed to get VNC URL: {e}")
+            return 1
+
+        print_info(f"Opening VNC: {vnc_url}")
+        webbrowser.open(vnc_url)
+        return 0
+
+    return run_async(_run())
+
+
+# ---------------------------------------------------------------------------
+# PTY / WebSocket helpers (shell / exec)
+# ---------------------------------------------------------------------------
+
+
+def _default_shell() -> str:
+    return "powershell" if sys.platform == "win32" else "bash"
+
+
+async def _shell_interactive(
+    name: str,
+    api_url: str,
+    api_key: Optional[str],
+    command: Optional[str],
+    cols: Optional[int],
+    rows: Optional[int],
+) -> int:
+    """Run an interactive PTY session via WebSocket."""
+    import signal
+    import threading
+
+    _auto_cols, _auto_rows = shutil.get_terminal_size((80, 24))
+    cols = cols if cols is not None else _auto_cols
+    rows = rows if rows is not None else _auto_rows
+
+    ws_url = api_url.replace("https://", "wss://").replace("http://", "ws://")
+
+    headers: dict[str, str] = {
+        "X-Container-Name": name,
+        "Content-Type": "application/json",
+    }
+    ws_params: dict[str, str] = {
+        "container_name": name,
+    }
+    if api_key:
+        headers["X-API-Key"] = api_key
+        ws_params["api_key"] = api_key
+
+    try:
+        async with aiohttp.ClientSession() as http:
+            async with http.post(
+                f"{api_url}/pty",
+                json={"command": command or _default_shell(), "cols": cols, "rows": rows},
+                headers=headers,
+                timeout=aiohttp.ClientTimeout(total=15),
+            ) as resp:
+                if resp.status == 401:
+                    raise ValueError("Authentication failed. Is the sandbox running?")
+                resp.raise_for_status()
+                data = await resp.json()
+    except aiohttp.ClientResponseError as e:
+        raise ValueError(f"PTY unavailable: {e.status} {e.message}") from e
+    except aiohttp.ClientError as e:
+        raise ValueError(f"Connection failed: {e}") from e
+
+    pid: int = data["pid"]
+    exit_code_cell: list[int] = [0]
+    done_event = asyncio.Event()
+
+    if sys.platform == "win32":
+        import msvcrt
+
+        async def _run_ws() -> None:
+            async with aiohttp.ClientSession() as http:
+                async with http.ws_connect(f"{ws_url}/pty/{pid}/ws", params=ws_params) as ws:
+
+                    def _stdin_loop() -> None:
+                        while not done_event.is_set():
+                            try:
+                                ch = msvcrt.getch()
+                                if ch:
+                                    encoded = base64.b64encode(ch).decode()
+                                    asyncio.run_coroutine_threadsafe(
+                                        ws.send_str(json.dumps({"type": "stdin", "data": encoded})),
+                                        asyncio.get_event_loop(),
+                                    )
+                            except Exception:
+                                break
+
+                    t = threading.Thread(target=_stdin_loop, daemon=True)
+                    t.start()
+
+                    async for raw_msg in ws:
+                        if raw_msg.type == aiohttp.WSMsgType.TEXT:
+                            try:
+                                msg = json.loads(raw_msg.data)
+                            except Exception:
+                                continue
+                            if msg.get("type") == "output":
+                                chunk = base64.b64decode(msg["data"])
+                                sys.stdout.buffer.write(chunk)
+                                sys.stdout.buffer.flush()
+                            elif msg.get("type") == "exit":
+                                exit_code_cell[0] = int(msg.get("code", 0))
+                                break
+                        elif raw_msg.type in (aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.ERROR):
+                            break
+                    done_event.set()
+
+        await _run_ws()
+    else:
+        import termios
+        import tty
+
+        old_settings = termios.tcgetattr(sys.stdin.fileno())
+        tty.setraw(sys.stdin.fileno())
+
+        loop = asyncio.get_event_loop()
+
+        async def _run_ws() -> None:
+            async with aiohttp.ClientSession() as http:
+                async with http.ws_connect(f"{ws_url}/pty/{pid}/ws", params=ws_params) as ws:
+
+                    def _resize(_sig=None, _frame=None) -> None:
+                        c, r = shutil.get_terminal_size((80, 24))
+                        asyncio.run_coroutine_threadsafe(
+                            ws.send_str(json.dumps({"type": "resize", "cols": c, "rows": r})),
+                            loop,
+                        )
+
+                    signal.signal(signal.SIGWINCH, _resize)
+
+                    def _stdin_loop() -> None:
+                        while not done_event.is_set():
+                            try:
+                                ch = sys.stdin.buffer.read(1)
+                                if not ch:
+                                    break
+                                encoded = base64.b64encode(ch).decode()
+                                asyncio.run_coroutine_threadsafe(
+                                    ws.send_str(json.dumps({"type": "stdin", "data": encoded})),
+                                    loop,
+                                )
+                            except Exception:
+                                break
+
+                    t = threading.Thread(target=_stdin_loop, daemon=True)
+                    t.start()
+
+                    async for raw_msg in ws:
+                        if raw_msg.type == aiohttp.WSMsgType.TEXT:
+                            try:
+                                msg = json.loads(raw_msg.data)
+                            except Exception:
+                                continue
+                            if msg.get("type") == "output":
+                                chunk = base64.b64decode(msg["data"])
+                                sys.stdout.buffer.write(chunk)
+                                sys.stdout.buffer.flush()
+                            elif msg.get("type") == "exit":
+                                exit_code_cell[0] = int(msg.get("code", 0))
+                                break
+                        elif raw_msg.type in (aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.ERROR):
+                            break
+                    done_event.set()
+
+        try:
+            await _run_ws()
+        finally:
+            try:
+                termios.tcsetattr(sys.stdin.fileno(), termios.TCSADRAIN, old_settings)
+            except Exception:
+                pass
+            signal.signal(signal.SIGWINCH, signal.SIG_DFL)
+
+    return exit_code_cell[0]
+
+
+async def _exec_noninteractive(
+    name: str,
+    api_url: str,
+    api_key: Optional[str],
+    command: str,
+) -> dict:
+    """Execute a command non-interactively and return result."""
+    headers: dict[str, str] = {
+        "X-Container-Name": name,
+        "Content-Type": "application/json",
+    }
+    if api_key:
+        headers["X-API-Key"] = api_key
+
+    async with aiohttp.ClientSession() as http:
+        async with http.post(
+            f"{api_url}/cmd",
+            json={"command": "run_command", "params": {"command": command}},
+            headers=headers,
+            timeout=aiohttp.ClientTimeout(total=120),
+        ) as resp:
+            if resp.status == 401:
+                return {"success": False, "error": "Authentication failed"}
+            text = await resp.text()
+            for line in text.splitlines():
+                if line.startswith("data: "):
+                    try:
+                        return json.loads(line[6:])
+                    except json.JSONDecodeError:
+                        pass
+            try:
+                return json.loads(text)
+            except json.JSONDecodeError:
+                return {"success": False, "error": f"Unexpected response: {text[:200]}"}
+
+
+def cmd_shell(args: argparse.Namespace) -> int:
+    """Open interactive shell or run command in sandbox."""
+    command_parts = getattr(args, "shell_command", [])
+    command = " ".join(command_parts).strip() if command_parts else None
+    cols: Optional[int] = getattr(args, "cols", None)
+    rows: Optional[int] = getattr(args, "rows", None)
+    local = getattr(args, "local", False)
+
+    async def _run() -> int:
+        try:
+            api_url, api_key = await _get_sandbox_api_url(args.name, local)
+        except ValueError as e:
+            print_error(str(e))
+            return 1
+
+        if not sys.stdin.isatty():
+            if not command:
+                print_error("No command provided for non-interactive mode")
+                return 1
+            result = await _exec_noninteractive(args.name, api_url, api_key, command)
+            if not result.get("success", True):
+                print_error(result.get("error", "Command failed"))
+                return 1
+            stdout = result.get("stdout", "").strip()
+            stderr = result.get("stderr", "").strip()
+            returncode = result.get("returncode") or result.get("return_code") or 0
+            if stdout:
+                print(stdout)
+            if stderr:
+                print(stderr, file=sys.stderr)
+            return returncode
+
+        try:
+            return await _shell_interactive(args.name, api_url, api_key, command, cols, rows)
+        except ValueError as e:
+            print_error(str(e))
+            return 1
+
+    return run_async(_run())
+
+
+def cmd_exec(args: argparse.Namespace) -> int:
+    """Execute command in sandbox (non-interactive)."""
+    command_parts = getattr(args, "exec_command", [])
+    command = " ".join(command_parts).strip() if command_parts else None
+    local = getattr(args, "local", False)
+
+    if not command:
+        print_error("No command provided")
+        print_info("Usage: cua sb exec <name> <command>")
+        return 1
+
+    async def _run() -> int:
+        try:
+            api_url, api_key = await _get_sandbox_api_url(args.name, local)
+        except ValueError as e:
+            print_error(str(e))
+            return 1
+
+        result = await _exec_noninteractive(args.name, api_url, api_key, command)
+
+        if getattr(args, "json", False):
+            print_json(result)
+            return result.get("returncode") or result.get("return_code") or 0
+
+        if not result.get("success", True):
+            print_error(result.get("error", "Command failed"))
+            return 1
+
+        stdout = result.get("stdout", "").strip()
+        stderr = result.get("stderr", "").strip()
+        returncode = result.get("returncode") or result.get("return_code") or 0
+
+        if stdout:
+            print(stdout)
+        if stderr:
+            print(stderr, file=sys.stderr)
+
+        return returncode
+
+    return run_async(_run())

libs/python/cua-cli/cua_cli/commands/skills.py

@@ -0,0 +1,918 @@
+"""Skills management commands for CUA CLI.
+
+Skills are recorded demonstrations that can guide agent behavior.
+Each skill contains:
+- SKILL.md: Markdown file with frontmatter and steps
+- trajectory/: Directory with video, events.json, trajectory.json, screenshots
+"""
+
+import argparse
+import json
+import shutil
+import webbrowser
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Optional
+
+from cua_cli.utils.async_utils import run_async
+from cua_cli.utils.output import (
+    print_error,
+    print_info,
+    print_json,
+    print_success,
+    print_table,
+)
+
+# Skills directory
+SKILLS_DIR = Path.home() / ".cua" / "skills"
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the skills command and subcommands."""
+    skills_parser = subparsers.add_parser(
+        "skills",
+        help="Manage demonstration skills",
+        description="Record and manage demonstration skills for agent guidance",
+    )
+
+    skills_subparsers = skills_parser.add_subparsers(
+        dest="skills_command",
+        help="Skills command",
+    )
+
+    # list command
+    list_parser = skills_subparsers.add_parser(
+        "list",
+        aliases=["ls"],
+        help="List all saved skills",
+    )
+    list_parser.add_argument(
+        "--json",
+        action="store_true",
+        help="Output as JSON",
+    )
+
+    # read command
+    read_parser = skills_subparsers.add_parser(
+        "read",
+        help="Read a skill",
+    )
+    read_parser.add_argument(
+        "name",
+        help="Skill name",
+    )
+    read_parser.add_argument(
+        "--format",
+        "-f",
+        choices=["json", "md"],
+        default="md",
+        help="Output format (default: md)",
+    )
+
+    # replay command
+    replay_parser = skills_subparsers.add_parser(
+        "replay",
+        help="Open the video recording for a skill",
+    )
+    replay_parser.add_argument(
+        "name",
+        help="Skill name",
+    )
+
+    # delete command
+    delete_parser = skills_subparsers.add_parser(
+        "delete",
+        help="Delete a skill",
+    )
+    delete_parser.add_argument(
+        "name",
+        help="Skill name",
+    )
+
+    # clean command
+    skills_subparsers.add_parser(
+        "clean",
+        help="Delete all skills (with confirmation)",
+    )
+
+    # record command
+    record_parser = skills_subparsers.add_parser(
+        "record",
+        help="Record a demonstration and create a skill",
+    )
+    record_parser.add_argument(
+        "--sandbox",
+        "-s",
+        type=str,
+        help="Sandbox name to connect to",
+    )
+    record_parser.add_argument(
+        "--vnc-url",
+        "-u",
+        type=str,
+        help="Direct VNC URL to connect to",
+    )
+    record_parser.add_argument(
+        "--provider",
+        "-p",
+        choices=["anthropic", "openai"],
+        default="anthropic",
+        help="LLM provider for captioning (default: anthropic)",
+    )
+    record_parser.add_argument(
+        "--model",
+        "-m",
+        type=str,
+        help="Model to use for captioning",
+    )
+    record_parser.add_argument(
+        "--api-key",
+        "-k",
+        type=str,
+        help="API key for the LLM provider",
+    )
+    record_parser.add_argument(
+        "--name",
+        "-n",
+        type=str,
+        help="Skill name (skips interactive prompt)",
+    )
+    record_parser.add_argument(
+        "--description",
+        "-d",
+        type=str,
+        help="Skill description (skips interactive prompt)",
+    )
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute skills command based on subcommand."""
+    cmd = getattr(args, "skills_command", None)
+
+    if cmd in ("list", "ls"):
+        return cmd_list(args)
+    elif cmd == "read":
+        return cmd_read(args)
+    elif cmd == "replay":
+        return cmd_replay(args)
+    elif cmd == "delete":
+        return cmd_delete(args)
+    elif cmd == "clean":
+        return cmd_clean(args)
+    elif cmd == "record":
+        return cmd_record(args)
+    else:
+        print_error("Usage: cua skills <command>")
+        print_info("Commands: list, read, replay, delete, clean, record")
+        return 1
+
+
+def _ensure_skills_dir() -> None:
+    """Ensure skills directory exists."""
+    SKILLS_DIR.mkdir(parents=True, exist_ok=True)
+
+
+def _parse_frontmatter(content: str) -> Optional[dict[str, str]]:
+    """Parse YAML frontmatter from markdown content."""
+    import re
+
+    match = re.match(r"^---\n(.*?)\n---\n(.*)$", content, re.DOTALL)
+    if not match:
+        return None
+
+    frontmatter = match.group(1)
+    body = match.group(2).strip()
+
+    name_match = re.search(r"^name:\s*(.+)$", frontmatter, re.MULTILINE)
+    desc_match = re.search(r"^description:\s*(.+)$", frontmatter, re.MULTILINE)
+
+    if not name_match or not desc_match:
+        return None
+
+    return {
+        "name": name_match.group(1).strip(),
+        "description": desc_match.group(1).strip(),
+        "body": body,
+    }
+
+
+def _get_skill_info(skill_dir: Path) -> Optional[dict[str, Any]]:
+    """Get skill info from a skill directory."""
+    skill_path = skill_dir / "SKILL.md"
+    if not skill_path.exists():
+        return None
+
+    content = skill_path.read_text()
+    parsed = _parse_frontmatter(content)
+    if not parsed:
+        return None
+
+    # Try to read trajectory.json for additional info
+    steps = 0
+    created = None
+    trajectory_path = skill_dir / "trajectory" / "trajectory.json"
+    if trajectory_path.exists():
+        try:
+            traj_data = json.loads(trajectory_path.read_text())
+            steps = len(traj_data.get("trajectory", []))
+            if traj_data.get("metadata", {}).get("created_at"):
+                created = traj_data["metadata"]["created_at"]
+        except Exception:
+            pass
+
+    return {
+        "name": parsed["name"],
+        "description": parsed["description"],
+        "steps": steps,
+        "created": created,
+        "path": str(skill_dir),
+    }
+
+
+def cmd_list(args: argparse.Namespace) -> int:
+    """List all skills."""
+    _ensure_skills_dir()
+
+    skills = []
+    for skill_dir in sorted(SKILLS_DIR.iterdir()):
+        if not skill_dir.is_dir():
+            continue
+        info = _get_skill_info(skill_dir)
+        if info:
+            skills.append(info)
+
+    if args.json:
+        print_json(skills)
+        return 0
+
+    if not skills:
+        print_info("No skills found.")
+        print_info("Record a skill with: cua skills record --sandbox <name>")
+        return 0
+
+    # Format for table
+    rows = []
+    for skill in skills:
+        created = "-"
+        if skill["created"]:
+            try:
+                dt = datetime.fromisoformat(skill["created"].replace("Z", "+00:00"))
+                created = dt.strftime("%Y-%m-%d")
+            except Exception:
+                created = skill["created"][:10]
+
+        rows.append(
+            {
+                "name": skill["name"],
+                "description": skill["description"][:40]
+                + ("..." if len(skill["description"]) > 40 else ""),
+                "steps": str(skill["steps"]),
+                "created": created,
+            }
+        )
+
+    columns = [
+        ("name", "NAME"),
+        ("description", "DESCRIPTION"),
+        ("steps", "STEPS"),
+        ("created", "CREATED"),
+    ]
+    print_table(rows, columns)
+    return 0
+
+
+def cmd_read(args: argparse.Namespace) -> int:
+    """Read a skill."""
+    _ensure_skills_dir()
+
+    skill_dir = SKILLS_DIR / args.name
+    skill_path = skill_dir / "SKILL.md"
+
+    if not skill_path.exists():
+        print_error(f"Skill not found: {args.name}")
+        return 1
+
+    content = skill_path.read_text()
+
+    if args.format == "md":
+        print(content)
+        return 0
+
+    # JSON format - include trajectory data
+    parsed = _parse_frontmatter(content)
+    if not parsed:
+        print_error(f"Invalid skill file format: {args.name}")
+        return 1
+
+    trajectory_path = skill_dir / "trajectory" / "trajectory.json"
+    trajectory = []
+    metadata = {}
+
+    if trajectory_path.exists():
+        try:
+            traj_data = json.loads(trajectory_path.read_text())
+            trajectory = traj_data.get("trajectory", [])
+            metadata = traj_data.get("metadata", {})
+        except Exception as e:
+            print_error(f"Failed to read trajectory: {e}")
+
+    result = {
+        "name": parsed["name"],
+        "description": parsed["description"],
+        "trajectory": trajectory,
+        "skill_prompt": parsed["body"],
+        "trajectory_dir": str(skill_dir / "trajectory"),
+        "metadata": metadata,
+    }
+
+    print_json(result)
+    return 0
+
+
+def cmd_replay(args: argparse.Namespace) -> int:
+    """Open the video recording for a skill."""
+    _ensure_skills_dir()
+
+    skill_dir = SKILLS_DIR / args.name
+    if not skill_dir.exists():
+        print_error(f"Skill not found: {args.name}")
+        return 1
+
+    # Find MP4 file
+    trajectory_dir = skill_dir / "trajectory"
+    mp4_files = list(trajectory_dir.glob("*.mp4"))
+
+    if not mp4_files:
+        print_error(f"No video found in: {trajectory_dir}")
+        return 1
+
+    video_path = mp4_files[0]
+    print_info(f"Opening: {video_path}")
+    webbrowser.open(f"file://{video_path}")
+    return 0
+
+
+def cmd_delete(args: argparse.Namespace) -> int:
+    """Delete a skill."""
+    _ensure_skills_dir()
+
+    skill_dir = SKILLS_DIR / args.name
+    if not skill_dir.exists():
+        print_error(f"Skill not found: {args.name}")
+        return 1
+
+    shutil.rmtree(skill_dir)
+    print_success(f"Deleted skill: {args.name}")
+    return 0
+
+
+def cmd_clean(args: argparse.Namespace) -> int:
+    """Delete all skills with confirmation."""
+    _ensure_skills_dir()
+
+    skills = [d for d in SKILLS_DIR.iterdir() if d.is_dir() and (d / "SKILL.md").exists()]
+
+    if not skills:
+        print_info("No skills to clean.")
+        return 0
+
+    print_info("Skills to delete:")
+    for skill_dir in sorted(skills):
+        print(f"  - {skill_dir.name}")
+
+    response = input(f"\nDelete {len(skills)} skill(s)? [y/N]: ").strip().lower()
+    if response != "y":
+        print_info("Cancelled.")
+        return 0
+
+    for skill_dir in skills:
+        shutil.rmtree(skill_dir)
+
+    print_success(f"Deleted {len(skills)} skill(s).")
+    return 0
+
+
+def cmd_record(args: argparse.Namespace) -> int:
+    """Record a demonstration and create a skill.
+
+    This is a complex operation that:
+    1. Starts a WebSocket server to receive the recording
+    2. Opens the VNC viewer with recording parameters
+    3. Waits for the recording to complete
+    4. Extracts frames and captions them with LLM
+    5. Saves the skill to disk
+    """
+    # Check for required dependencies
+    if not _check_ffmpeg():
+        print_error("ffmpeg is required for skill recording.")
+        print_info("Install with: brew install ffmpeg (macOS) or apt install ffmpeg (Linux)")
+        return 1
+
+    if not args.sandbox and not args.vnc_url:
+        print_error("Either --sandbox or --vnc-url is required")
+        return 1
+
+    # Defer to async implementation
+    return run_async(_record_skill_async(args))
+
+
+def _check_ffmpeg() -> bool:
+    """Check if ffmpeg is available."""
+    return shutil.which("ffmpeg") is not None
+
+
+async def _record_skill_async(args: argparse.Namespace) -> int:
+    """Async implementation of skill recording."""
+    import asyncio
+    import os
+
+    import websockets
+
+    # Get LLM API key
+    provider = args.provider
+    api_key = args.api_key
+
+    if not api_key:
+        if provider == "openai":
+            api_key = os.environ.get("OPENAI_API_KEY")
+        else:
+            api_key = os.environ.get("ANTHROPIC_API_KEY")
+
+    if not api_key:
+        env_var = "OPENAI_API_KEY" if provider == "openai" else "ANTHROPIC_API_KEY"
+        print_error(f"No {provider.upper()} API key found.")
+        print_info(f"Set {env_var} environment variable or use --api-key flag.")
+        return 1
+
+    model = args.model
+    if not model:
+        model = "gpt-4o-mini" if provider == "openai" else "claude-haiku-4-5"
+
+    # Start WebSocket server to receive recording
+    recording_data = bytearray()
+    recording_complete = asyncio.Event()
+
+    async def handle_ws(websocket):
+        nonlocal recording_data
+        try:
+            async for message in websocket:
+                if isinstance(message, bytes):
+                    recording_data.extend(message)
+        except websockets.exceptions.ConnectionClosed:
+            pass
+        finally:
+            recording_complete.set()
+
+    # Find available port
+    import socket
+
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.bind(("localhost", 0))
+    port = sock.getsockname()[1]
+    sock.close()
+
+    server = await websockets.serve(handle_ws, "localhost", port)
+    record_url = f"ws://localhost:{port}"
+
+    print_info(f"Recording server started on port {port}")
+
+    # Build VNC URL with recording parameters
+    if args.sandbox:
+        # Get sandbox VNC URL
+        from cua_cli.auth.store import require_api_key
+        from cua_sandbox.transport.cloud import cloud_get_vm
+
+        try:
+            vm = await cloud_get_vm(args.sandbox, api_key=require_api_key())
+        except Exception:
+            vm = None
+        if not vm or vm.get("status") == "not_found":
+            print_error(f"Sandbox not found: {args.sandbox}")
+            server.close()
+            return 1
+        if vm.get("status") != "running":
+            print_error(f"Sandbox is not running (status: {vm.get('status')})")
+            server.close()
+            return 1
+        host = vm.get("host", f"{args.sandbox}.sandbox.cua.ai")
+        password = vm.get("password", "")
+        from urllib.parse import quote
+
+        base_url = (
+            f"https://{host}/vnc.html?autoconnect=true&password={quote(password)}&show_dot=true"
+        )
+    else:
+        base_url = args.vnc_url
+
+    # Add recording parameters
+    from urllib.parse import parse_qs, urlencode, urlparse
+
+    parsed = urlparse(base_url)
+    params = parse_qs(parsed.query)
+    params["autorecord"] = ["true"]
+    params["record_format"] = ["mp4"]
+    params["record_url"] = [record_url]
+    recording_url = (
+        f"{parsed.scheme}://{parsed.netloc}{parsed.path}?{urlencode(params, doseq=True)}"
+    )
+
+    print_info("\nRecording will start automatically when you connect.")
+    print_info("When finished, click 'Stop Recording' in the VNC panel.\n")
+
+    import webbrowser
+
+    webbrowser.open(recording_url)
+
+    # Wait for recording (30 min timeout)
+    try:
+        await asyncio.wait_for(recording_complete.wait(), timeout=30 * 60)
+    except asyncio.TimeoutError:
+        print_error("Recording timeout (30 minutes)")
+        server.close()
+        return 1
+
+    server.close()
+
+    if len(recording_data) == 0:
+        print_error("No recording data received")
+        return 1
+
+    print_info(f"Received {len(recording_data)} bytes of recording data")
+
+    # Get skill name
+    skill_name = args.name
+    if not skill_name:
+        skill_name = input("Enter skill name: ").strip()
+        while not skill_name or not skill_name.replace("-", "").replace("_", "").isalnum():
+            print("Use only letters, numbers, hyphens, and underscores.")
+            skill_name = input("Enter skill name: ").strip()
+
+    # Ensure unique name
+    _ensure_skills_dir()
+    final_name = skill_name
+    counter = 1
+    while (SKILLS_DIR / final_name).exists():
+        final_name = f"{skill_name}-{counter}"
+        counter += 1
+
+    if final_name != skill_name:
+        print_info(f'Skill "{skill_name}" exists, using "{final_name}"')
+    skill_name = final_name
+
+    # Get description
+    description = args.description
+    if not description:
+        description = input("Describe what this skill demonstrates: ").strip()
+        while not description:
+            print("Description is required.")
+            description = input("Describe what this skill demonstrates: ").strip()
+
+    print_info("\nProcessing recording...")
+
+    # Process recording
+    result = await _process_recording(
+        recording_data=bytes(recording_data),
+        skill_name=skill_name,
+        description=description,
+        provider=provider,
+        model=model,
+        api_key=api_key,
+    )
+
+    if not result:
+        print_error("Failed to process recording")
+        return 1
+
+    print_success(f"\nSkill saved: {SKILLS_DIR / skill_name / 'SKILL.md'}")
+    print_info(f"Steps: {result['steps']}")
+    return 0
+
+
+async def _process_recording(
+    recording_data: bytes,
+    skill_name: str,
+    description: str,
+    provider: str,
+    model: str,
+    api_key: str,
+) -> Optional[dict[str, Any]]:
+    """Process recording data and create skill files."""
+    import struct
+    import subprocess
+    import tempfile
+
+    # Parse recording format: [4 bytes JSON length][JSON][MP4 data]
+    if len(recording_data) < 4:
+        print_error("Recording data too short")
+        return None
+
+    json_length = struct.unpack(">I", recording_data[:4])[0]
+    if len(recording_data) < 4 + json_length:
+        print_error("Invalid recording format")
+        return None
+
+    json_bytes = recording_data[4 : 4 + json_length]
+    mp4_data = recording_data[4 + json_length :]
+
+    if not mp4_data:
+        print_error("No video data in recording")
+        return None
+
+    try:
+        recording_json = json.loads(json_bytes.decode())
+    except Exception as e:
+        print_error(f"Failed to parse recording JSON: {e}")
+        return None
+
+    events = recording_json.get("events", [])
+    metadata = recording_json.get("metadata", {})
+
+    # Create skill directory structure
+    skill_dir = SKILLS_DIR / skill_name
+    trajectory_dir = skill_dir / "trajectory"
+    trajectory_dir.mkdir(parents=True, exist_ok=True)
+
+    # Save video
+    video_path = trajectory_dir / f"{skill_name}.mp4"
+    video_path.write_bytes(mp4_data)
+
+    # Save events
+    events_path = trajectory_dir / "events.json"
+    events_path.write_text(json.dumps({"events": events, "metadata": metadata}, indent=2))
+
+    # Process each event with LLM captioning
+    trajectory = []
+    from rich.progress import BarColumn, Progress, SpinnerColumn, TextColumn
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+    ) as progress:
+        task = progress.add_task("Captioning steps...", total=len(events))
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            temp_path = Path(temp_dir)
+
+            for idx, event in enumerate(events):
+                step_idx = idx + 1
+
+                # Extract frame at event timestamp
+                frame_path = temp_path / f"step_{step_idx}.jpg"
+                timestamp_sec = max(0, event.get("timestamp", 0) / 1000 - 0.1)
+
+                result = subprocess.run(
+                    [
+                        "ffmpeg",
+                        "-y",
+                        "-ss",
+                        f"{timestamp_sec:.3f}",
+                        "-i",
+                        str(video_path),
+                        "-frames:v",
+                        "1",
+                        "-q:v",
+                        "2",
+                        str(frame_path),
+                    ],
+                    capture_output=True,
+                )
+
+                if result.returncode != 0 or not frame_path.exists():
+                    # Skip if frame extraction fails
+                    trajectory.append(
+                        {
+                            "step_idx": step_idx,
+                            "caption": {
+                                "observation": "",
+                                "think": "",
+                                "action": event.get("type", ""),
+                                "expectation": "",
+                            },
+                            "raw_event": event,
+                        }
+                    )
+                    progress.update(task, advance=1)
+                    continue
+
+                # Caption with LLM
+                caption = await _caption_step(
+                    frame_path=frame_path,
+                    event=event,
+                    step_idx=step_idx,
+                    description=description,
+                    provider=provider,
+                    model=model,
+                    api_key=api_key,
+                )
+
+                # Save screenshot to trajectory dir
+                dest_full = trajectory_dir / f"step_{step_idx}_full.jpg"
+                shutil.copy(frame_path, dest_full)
+
+                trajectory.append(
+                    {
+                        "step_idx": step_idx,
+                        "caption": caption,
+                        "raw_event": event,
+                        "screenshot_full": str(dest_full),
+                    }
+                )
+
+                progress.update(task, advance=1)
+
+    # Save trajectory
+    trajectory_json_path = trajectory_dir / "trajectory.json"
+    trajectory_json_path.write_text(
+        json.dumps(
+            {
+                "events": events,
+                "trajectory": trajectory,
+                "metadata": {
+                    "task_description": description,
+                    "total_steps": len(trajectory),
+                    "width": metadata.get("width"),
+                    "height": metadata.get("height"),
+                    "duration": metadata.get("duration"),
+                    "created_at": datetime.now().isoformat(),
+                },
+            },
+            indent=2,
+        )
+    )
+
+    # Generate skill markdown
+    steps_text = "\n".join(
+        [
+            f"Step {s['step_idx']}: {s['caption'].get('action', s['raw_event'].get('type', ''))}"
+            for s in trajectory
+        ]
+    )
+
+    skill_prompt = f"""You have been shown a demonstration of how to perform this task:
+{description}
+
+The demonstration consisted of the following steps:
+{steps_text}
+
+Follow this workflow pattern, adapting as needed for the current screen state.
+Total steps: {len(trajectory)}"""
+
+    steps_markdown = "\n".join(
+        [
+            f"### Step {s['step_idx']}: {s['caption'].get('action', s['raw_event'].get('type', ''))}\n\n"
+            f"**Context:** {s['caption'].get('observation', '')}\n\n"
+            f"**Intent:** {s['caption'].get('think', '')}\n\n"
+            f"**Expected Result:** {s['caption'].get('expectation', '')}\n"
+            for s in trajectory
+        ]
+    )
+
+    skill_content = f"""---
+name: {skill_name}
+description: {description}
+---
+
+# {skill_name}
+
+{description}
+
+## Steps
+
+{steps_markdown}
+
+## Agent Prompt
+
+{skill_prompt}
+"""
+
+    skill_path = skill_dir / "SKILL.md"
+    skill_path.write_text(skill_content)
+
+    return {"steps": len(trajectory)}
+
+
+async def _caption_step(
+    frame_path: Path,
+    event: dict,
+    step_idx: int,
+    description: str,
+    provider: str,
+    model: str,
+    api_key: str,
+) -> dict[str, str]:
+    """Caption a single step using LLM."""
+    import base64
+
+    import aiohttp
+
+    # Build prompt
+    prompt = f"""Describe this GUI action step. The overall task is: {description}
+
+Step {step_idx}: {event.get("type", "action")}
+Event data: {json.dumps(event.get("data", {}))}
+
+Respond with JSON only:
+{{
+  "Observation": "Describe what you see in the screenshot",
+  "Think": "Explain the user's likely intention",
+  "Action": "Describe the action being taken",
+  "Expectation": "What should happen after this action"
+}}"""
+
+    # Read image
+    image_data = frame_path.read_bytes()
+    image_b64 = base64.b64encode(image_data).decode()
+
+    try:
+        if provider == "openai":
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    "https://api.openai.com/v1/chat/completions",
+                    headers={
+                        "Authorization": f"Bearer {api_key}",
+                        "Content-Type": "application/json",
+                    },
+                    json={
+                        "model": model,
+                        "messages": [
+                            {
+                                "role": "user",
+                                "content": [
+                                    {"type": "text", "text": prompt},
+                                    {
+                                        "type": "image_url",
+                                        "image_url": {"url": f"data:image/jpeg;base64,{image_b64}"},
+                                    },
+                                ],
+                            }
+                        ],
+                        "temperature": 0.2,
+                    },
+                ) as resp:
+                    if resp.status != 200:
+                        return {
+                            "observation": "",
+                            "think": "",
+                            "action": event.get("type", ""),
+                            "expectation": "",
+                        }
+                    data = await resp.json()
+                    text = data.get("choices", [{}])[0].get("message", {}).get("content", "")
+        else:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    "https://api.anthropic.com/v1/messages",
+                    headers={
+                        "x-api-key": api_key,
+                        "anthropic-version": "2023-06-01",
+                        "content-type": "application/json",
+                    },
+                    json={
+                        "model": model,
+                        "max_tokens": 1200,
+                        "messages": [
+                            {
+                                "role": "user",
+                                "content": [
+                                    {"type": "text", "text": prompt},
+                                    {
+                                        "type": "image",
+                                        "source": {
+                                            "type": "base64",
+                                            "media_type": "image/jpeg",
+                                            "data": image_b64,
+                                        },
+                                    },
+                                ],
+                            }
+                        ],
+                    },
+                ) as resp:
+                    if resp.status != 200:
+                        return {
+                            "observation": "",
+                            "think": "",
+                            "action": event.get("type", ""),
+                            "expectation": "",
+                        }
+                    data = await resp.json()
+                    text = data.get("content", [{}])[0].get("text", "")
+
+        # Parse JSON response
+        import re
+
+        json_match = re.search(r"\{[\s\S]*\}", text)
+        if json_match:
+            parsed = json.loads(json_match.group())
+            return {
+                "observation": parsed.get("Observation", parsed.get("observation", "")),
+                "think": parsed.get("Think", parsed.get("think", "")),
+                "action": parsed.get("Action", parsed.get("action", "")),
+                "expectation": parsed.get("Expectation", parsed.get("expectation", "")),
+            }
+    except Exception:
+        pass
+
+    return {"observation": "", "think": "", "action": event.get("type", ""), "expectation": ""}

libs/python/cua-cli/cua_cli/commands/trajectory.py

@@ -0,0 +1,343 @@
+"""cua trajectory — manage recorded action trajectories.
+
+Subcommands:
+  ls      List trajectory sessions
+  view    Zip + serve locally, open cua.ai/trajectory-viewer
+  clean   Delete old sessions
+  stop    Stop the local file server
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import signal
+import subprocess
+import sys
+import webbrowser
+from pathlib import Path
+from urllib.parse import quote
+
+from cua_cli.utils.trajectory_recorder import (
+    clean_trajectories,
+    list_trajectories,
+    zip_trajectory,
+)
+
+_PID_FILE = Path.home() / ".cua" / "trajectory_server.pid"
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register ``cua trajectory`` (and alias ``cua traj``) commands."""
+    for cmd_name in ("trajectory", "traj"):
+        p = subparsers.add_parser(
+            cmd_name,
+            help="Manage recorded action trajectories",
+            description="List, view, and clean trajectory recordings from cua do sessions.",
+            formatter_class=argparse.RawDescriptionHelpFormatter,
+            epilog="""
+Examples:
+  cua trajectory ls                         List all sessions
+  cua trajectory ls my-container            List sessions for a machine
+  cua trajectory view                       View latest session in browser
+  cua trajectory view my-container          View latest for specific machine
+  cua trajectory view --port 9090           Use a custom port
+  cua trajectory stop                       Stop the file server
+  cua trajectory clean --older-than 7       Delete sessions older than 7 days
+  cua trajectory clean --machine my-ct -y   Delete all sessions for a machine
+""",
+        )
+
+        sub = p.add_subparsers(dest="traj_action", metavar="action")
+        sub.required = True
+
+        # ls
+        ls_p = sub.add_parser("ls", help="List trajectory sessions")
+        ls_p.add_argument("machine", nargs="?", default=None, help="Filter by machine name")
+        ls_p.add_argument("--json", dest="as_json", action="store_true", help="Output as JSON")
+
+        # view
+        view_p = sub.add_parser("view", help="Zip and open in cua.ai/trajectory-viewer")
+        view_p.add_argument(
+            "target",
+            nargs="?",
+            default=None,
+            help="Machine name, session timestamp, or path (default: latest session)",
+        )
+        view_p.add_argument(
+            "--port",
+            "-p",
+            type=int,
+            default=8089,
+            help="Port for the local file server (default: 8089)",
+        )
+
+        # clean
+        clean_p = sub.add_parser("clean", help="Delete old trajectory sessions")
+        clean_p.add_argument(
+            "--older-than",
+            type=int,
+            default=None,
+            metavar="DAYS",
+            help="Only delete sessions older than DAYS days",
+        )
+        clean_p.add_argument(
+            "--machine", default=None, help="Only delete sessions for this machine"
+        )
+        clean_p.add_argument("-y", "--yes", action="store_true", help="Skip confirmation prompt")
+
+        # stop
+        sub.add_parser("stop", help="Stop the trajectory file server")
+
+
+# ── ls ───────────────────────────────────────────────────────────────────────
+
+
+def _cmd_ls(args: argparse.Namespace) -> int:
+    machine = getattr(args, "machine", None)
+    sessions = list_trajectories(machine=machine)
+
+    if not sessions:
+        if machine:
+            print(f"No trajectory sessions found for '{machine}'.")
+        else:
+            print("No trajectory sessions found.")
+        return 0
+
+    if getattr(args, "as_json", False):
+        print(json.dumps(sessions, indent=2))
+        return 0
+
+    print(f"{'Machine':<20} {'Session':<18} {'Turns':>5}  {'Created'}")
+    print("-" * 70)
+    for s in sessions:
+        print(f"{s['machine']:<20} {s['session']:<18} {s['turns']:>5}  {s['created']}")
+    return 0
+
+
+# ── view ─────────────────────────────────────────────────────────────────────
+
+
+def _resolve_session(target: str | None) -> str | None:
+    """Resolve a target to a session path."""
+    if target and Path(target).is_dir():
+        return target
+
+    sessions = list_trajectories()
+    if not sessions:
+        return None
+
+    if target is None:
+        return sessions[-1]["path"]
+
+    # Try as machine name (latest for that machine)
+    machine_sessions = [s for s in sessions if s["machine"] == target]
+    if machine_sessions:
+        return machine_sessions[-1]["path"]
+
+    # Try as session timestamp
+    for s in sessions:
+        if s["session"] == target:
+            return s["path"]
+
+    return None
+
+
+# Minimal CORS-enabled HTTP server script, run as a subprocess.
+_SERVER_SCRIPT = """\
+import sys, os
+from http.server import HTTPServer, SimpleHTTPRequestHandler
+
+class CORSHandler(SimpleHTTPRequestHandler):
+    def end_headers(self):
+        self.send_header("Access-Control-Allow-Origin", "*")
+        self.send_header("Access-Control-Allow-Methods", "GET, OPTIONS")
+        self.send_header("Access-Control-Allow-Headers", "*")
+        super().end_headers()
+    def do_OPTIONS(self):
+        self.send_response(204)
+        self.end_headers()
+    def log_message(self, format, *args):
+        pass
+
+os.chdir(sys.argv[1])
+port = int(sys.argv[2])
+HTTPServer(("127.0.0.1", port), CORSHandler).serve_forever()
+"""
+
+
+def _cmd_view(args: argparse.Namespace) -> int:
+    target = getattr(args, "target", None)
+    port = getattr(args, "port", 8089)
+    session_path = _resolve_session(target)
+
+    if not session_path:
+        label = f" for '{target}'" if target else ""
+        print(f"No trajectory session found{label}.", file=sys.stderr)
+        return 1
+
+    session_dir = Path(session_path)
+
+    # Zip the session
+    zip_path = zip_trajectory(session_dir)
+    zip_name = zip_path.name
+
+    # Stop any existing server
+    _stop_server(quiet=True)
+
+    # Start a CORS-enabled file server in the background
+    serve_dir = str(zip_path.parent)
+    proc = subprocess.Popen(
+        [sys.executable, "-c", _SERVER_SCRIPT, serve_dir, str(port)],
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+    )
+
+    # Save PID
+    _PID_FILE.parent.mkdir(parents=True, exist_ok=True)
+    _PID_FILE.write_text(json.dumps({"pid": proc.pid, "port": port}))
+
+    zip_url = f"http://localhost:{port}/{zip_name}"
+    viewer_url = f"https://cua.ai/trajectory-viewer?zip={quote(zip_url, safe='')}"
+
+    machine = session_dir.parent.name
+    session_ts = session_dir.name
+    print(f"Serving: {machine}/{session_ts}")
+    print(f"Viewer:  {viewer_url}")
+    print("Stop with: cua trajectory stop")
+
+    try:
+        webbrowser.open(viewer_url)
+    except Exception:
+        pass
+
+    return 0
+
+
+# ── stop ─────────────────────────────────────────────────────────────────────
+
+
+def _is_our_server(pid: int) -> bool:
+    """Check if the given PID is a Python process we spawned."""
+    try:
+        os.kill(pid, 0)  # Check if process exists (doesn't actually send a signal)
+    except (ProcessLookupError, PermissionError):
+        return False
+    # On macOS/Linux, verify it's a Python process via /proc or ps
+    try:
+        import platform
+
+        if platform.system() != "Windows":
+            result = subprocess.run(
+                ["ps", "-p", str(pid), "-o", "comm="],
+                capture_output=True,
+                text=True,
+                timeout=2,
+            )
+            comm = result.stdout.strip().lower()
+            return "python" in comm
+    except Exception:
+        pass
+    return True  # On Windows or if ps fails, trust the PID file
+
+
+def _stop_server(quiet: bool = False) -> bool:
+    """Kill the background file server. Returns True if a server was stopped."""
+    if not _PID_FILE.exists():
+        if not quiet:
+            print("No file server is running.")
+        return False
+
+    try:
+        info = json.loads(_PID_FILE.read_text())
+        pid = info["pid"]
+    except Exception:
+        _PID_FILE.unlink(missing_ok=True)
+        if not quiet:
+            print("Could not read server PID file.", file=sys.stderr)
+        return False
+
+    stopped = False
+    try:
+        if not _is_our_server(pid):
+            if not quiet:
+                print("Server was not running (stale PID file removed).")
+            _PID_FILE.unlink(missing_ok=True)
+            return False
+        os.kill(pid, signal.SIGTERM)
+        stopped = True
+        if not quiet:
+            print(f"Stopped file server (pid {pid}).")
+    except ProcessLookupError:
+        if not quiet:
+            print("Server was not running (stale PID file removed).")
+    except Exception as e:
+        if not quiet:
+            print(f"Failed to stop server: {e}", file=sys.stderr)
+    finally:
+        _PID_FILE.unlink(missing_ok=True)
+
+    return stopped
+
+
+def _cmd_stop(_args: argparse.Namespace) -> int:
+    _stop_server()
+    return 0
+
+
+# ── clean ────────────────────────────────────────────────────────────────────
+
+
+def _cmd_clean(args: argparse.Namespace) -> int:
+    older_than = getattr(args, "older_than", None)
+    machine = getattr(args, "machine", None)
+    yes = getattr(args, "yes", False)
+
+    sessions = list_trajectories(machine=machine)
+    if not sessions:
+        print("No trajectory sessions to clean.")
+        return 0
+
+    if older_than is not None:
+        from datetime import datetime, timedelta
+
+        cutoff = datetime.now() - timedelta(days=older_than)
+        sessions = [s for s in sessions if datetime.fromisoformat(s["created"]) < cutoff]
+
+    if not sessions:
+        print("No sessions match the criteria.")
+        return 0
+
+    if not yes:
+        print(f"Will delete {len(sessions)} session(s):")
+        for s in sessions:
+            print(f"  {s['machine']}/{s['session']} ({s['turns']} turns)")
+        try:
+            answer = input("Continue? [y/N] ").strip().lower()
+        except (EOFError, KeyboardInterrupt):
+            print("\nCancelled.")
+            return 1
+        if answer != "y":
+            print("Cancelled.")
+            return 1
+
+    deleted = clean_trajectories(older_than_days=older_than, machine=machine)
+    print(f"Deleted {len(deleted)} session(s).")
+    return 0
+
+
+# ── dispatch ─────────────────────────────────────────────────────────────────
+
+
+def execute(args: argparse.Namespace) -> int:
+    dispatch = {
+        "ls": _cmd_ls,
+        "view": _cmd_view,
+        "clean": _cmd_clean,
+        "stop": _cmd_stop,
+    }
+    handler = dispatch.get(args.traj_action)
+    if not handler:
+        return 1
+    return handler(args)

libs/python/cua-cli/cua_cli/commands/workspace.py

@@ -0,0 +1,205 @@
+"""Workspace commands for Cua CLI."""
+
+import argparse
+import asyncio
+import os
+
+import aiohttp
+from cua_cli.auth.browser import authenticate_via_browser
+from cua_cli.auth.store import (
+    _get_store,
+    delete_workspace,
+    get_workspace_api_key,
+    list_workspaces,
+    save_workspace,
+    set_active_workspace,
+)
+from cua_cli.utils.async_utils import run_async
+from cua_cli.utils.output import print_error, print_info, print_success
+from cua_core.http import cua_version_headers
+
+DEFAULT_API_BASE = "https://api.cua.ai"
+
+
+def _get_api_base() -> str:
+    return os.environ.get("CUA_API_BASE", DEFAULT_API_BASE).rstrip("/")
+
+
+def register_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Register the workspace command and subcommands."""
+    ws_parser = subparsers.add_parser(
+        "workspace",
+        help="Workspace commands",
+        description="Manage workspaces",
+        aliases=["ws"],
+    )
+
+    ws_subparsers = ws_parser.add_subparsers(
+        dest="workspace_command",
+        help="Workspace command",
+    )
+
+    set_parser = ws_subparsers.add_parser(
+        "set",
+        help="Switch active workspace",
+        description="Switch to a different workspace",
+    )
+    set_parser.add_argument(
+        "slug",
+        nargs="?",
+        help="Workspace slug to switch to",
+    )
+
+
+def execute(args: argparse.Namespace) -> int:
+    """Execute workspace command based on subcommand."""
+    cmd = getattr(args, "workspace_command", None)
+
+    if cmd == "set":
+        return cmd_set(args)
+    else:
+        print_error("Usage: cua workspace <command>")
+        print_info("Commands: set")
+        return 1
+
+
+def _validate_workspace_key(api_key: str) -> tuple[bool | None, dict]:
+    """Validate an API key by calling /v1/me.
+
+    Returns:
+        (True, data)  — valid key (HTTP 200)
+        (False, data)  — explicitly invalid/expired (HTTP 401)
+        (None, {})    — transport error or unexpected HTTP status
+    """
+
+    async def _do():
+        url = f"{_get_api_base()}/v1/me"
+        headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Accept": "application/json",
+            **cua_version_headers(),
+        }
+        async with aiohttp.ClientSession() as session:
+            timeout = aiohttp.ClientTimeout(total=10)
+            async with session.get(url, headers=headers, timeout=timeout) as resp:
+                try:
+                    data = await resp.json(content_type=None)
+                except Exception:
+                    return resp.status, {}
+                return resp.status, data
+
+    try:
+        status_code, data = run_async(_do())
+        if status_code == 200:
+            return True, data
+        elif status_code == 401:
+            return False, data
+        else:
+            return None, {}
+    except (aiohttp.ClientError, asyncio.TimeoutError, OSError):
+        return None, {}
+    except Exception:
+        return None, {}
+
+
+def cmd_set(args: argparse.Namespace) -> int:
+    """Handle the workspace set command."""
+    slug = getattr(args, "slug", None)
+
+    if slug:
+        # Check if we have a stored key for this workspace
+        stored_key = get_workspace_api_key(slug)
+        if stored_key:
+            # Validate the stored key
+            valid, _data = _validate_workspace_key(stored_key)
+            if valid is True:
+                set_active_workspace(slug)
+                ws_name = _get_store().get(f"workspace:{slug}:name") or slug
+                print_success(f"Switched to workspace: {ws_name} ({slug})")
+                return 0
+            elif valid is None:
+                # Transport error — don't delete cached credentials
+                print_error(
+                    f"Could not verify credentials for '{slug}' (API unreachable). Try again later."
+                )
+                return 1
+            else:
+                # Explicitly expired (401) — remove and fall through to browser auth
+                print_info(f"Credentials for '{slug}' are expired. Re-authenticating...")
+                delete_workspace(slug)
+
+        # Not authenticated or stale — trigger browser auth with hint
+        try:
+            result = run_async(authenticate_via_browser(workspace_slug=slug))
+        except (TimeoutError, RuntimeError) as e:
+            print_error(str(e))
+            return 1
+
+        if result.workspace_slug:
+            if result.workspace_slug != slug:
+                print_error(
+                    f"Authenticated workspace '{result.workspace_slug}' does not match "
+                    f"requested workspace '{slug}'."
+                )
+                return 1
+            save_workspace(
+                result.workspace_slug,
+                result.token,
+                result.workspace_name,
+                result.org_name,
+            )
+            set_active_workspace(result.workspace_slug)
+            print_success(
+                f"Authenticated and switched to workspace: "
+                f"{result.workspace_name} ({result.workspace_slug})"
+            )
+        else:
+            print_error("Authentication did not return workspace metadata.")
+            return 1
+        return 0
+
+    # No slug — interactive selection from authenticated workspaces
+    workspaces = list_workspaces()
+    if not workspaces:
+        print_info("No authenticated workspaces. Run 'cua auth login' to add one.")
+        return 0
+
+    print_info("Select a workspace:")
+    for i, ws in enumerate(workspaces, 1):
+        marker = " (active)" if ws["is_active"] else ""
+        name_part = f" - {ws['name']}" if ws["name"] else ""
+        print(f"  {i}. {ws['slug']}{name_part}{marker}")
+
+    try:
+        choice = input("\nEnter number: ").strip()
+        idx = int(choice) - 1
+        if idx < 0 or idx >= len(workspaces):
+            print_error("Invalid selection.")
+            return 1
+    except (ValueError, EOFError, KeyboardInterrupt):
+        print_error("Invalid selection.")
+        return 1
+
+    selected = workspaces[idx]
+
+    # Validate the selected workspace's session before switching
+    stored_key = get_workspace_api_key(selected["slug"])
+    if stored_key:
+        valid, _data = _validate_workspace_key(stored_key)
+        if valid is None:
+            print_error(
+                f"Could not verify credentials for '{selected['slug']}' (API unreachable). "
+                f"Try again later."
+            )
+            return 1
+        elif valid is False:
+            delete_workspace(selected["slug"])
+            print_error(
+                f"Credentials for '{selected['slug']}' are expired. "
+                f"Run 'cua auth login' to re-authenticate."
+            )
+            return 1
+
+    set_active_workspace(selected["slug"])
+    print_success(f"Switched to workspace: {selected['name']} ({selected['slug']})")
+    return 0