Install
openclaw skills install bohrium-sandboxBohrium platform sandbox (lbg sdbx CLI): on-demand cloud VMs for running shell / Python, with GPU options and optional user-storage mounts. Use when: user wants to execute code, debug scripts, do data processing, or run GPU jobs in an isolated environment. NOT for: Bohrium compute jobs (use bohrium-job) or long-lived dev machines (use bohrium-node).
openclaw skills install bohrium-sandboxlbg sdbx)Bohrium Sandbox is an on-demand cloud VM driven by the lbg sdbx CLI. It is not the E2B SDK, does not need E2B_API_KEY, and does not call api.e2b.dev — everything runs on the Bohrium platform with the Bohrium accessKey.
Core capabilities:
exec commands in three modes (foreground / background / PTY)files read/write to upload/download files or directoriesterminal for interactive workloads (REPL / TUI)Comparison with other skills:
| Scenario | Use |
|---|---|
| Quick script validation, debugging, small GPU inference | This skill (bohrium-sandbox) |
| Large-scale batch / long jobs | bohrium-job |
| Persistent dev machine (SSH / VSCode) | bohrium-node |
The sdbx subcommand currently ships only in the prerelease (beta) of lbg. The stable release does not expose sdbx and will fail with invalid choice: 'sdbx'.
# Must install the prerelease, otherwise lbg sdbx is missing
pip install --pre --upgrade lbg
# Verify
lbg sdbx --help # should list doctor / create / list / exec / files / terminal / ...
See version history at https://pypi.org/project/lbg/#history. The current beta looks like 4.0.0bNN.
Requires a Bohrium accessKey (not an E2B key). Two ways:
# 1. Persistent login (writes local config)
lbg login --ak <YOUR_BOHRIUM_ACCESS_KEY>
# 2. Per-session env var
export BOHRIUM_ACCESS_KEY=<YOUR_BOHRIUM_ACCESS_KEY>
Sanity check:
lbg sdbx doctor --json # verify auth / SDK / gateway
# Default template sdbxagent (CPU), personal wallet, 12h auto-destroy
lbg sdbx create --json
# Explicit template
lbg sdbx create my-template --json
# Bill against a project budget
lbg sdbx create my-template --project-id <id> --json
# Lifetime override (seconds); 0 = unlimited
lbg sdbx create my-template --timeout 1800 --json
lbg sdbx create my-template --never-timeout --json
# Mount caller's personal disk + share disks
lbg sdbx create my-template --mount-user-storage --json
Response fields: sandboxID (used by every later command), templateID, state, cpuCount, memoryMB, metadata.
Note:
templateIDaccepts the template name, not a SKU or numeric id. Look it up withlbg sdbx template ls.
lbg sdbx list --json # your sandboxes
lbg sdbx describe <sandbox_id> --with-processes --json # metadata + running processes
lbg sdbx ps <sandbox_id> --json # process list
list adds an age column; rows older than 30 minutes are highlighted as a reminder to clean up.
lbg sdbx kill <sandbox_id> --json
Safety behaviour:
--force to acknowledge and proceedAfter kill, files cannot be read — always pull anything important with files read first.
lbg sdbx template ls # your templates
lbg sdbx template ls --json
lbg sdbx template ls -q # names only, pipe-friendly
# Create a template (image path + SKU name required)
lbg image ls # find an image path
lbg sdbx machine list # find a SKU
lbg sdbx template create --name <name> --image <image-path> --sku-name <sku>
# Delete (TTY prompts for confirmation; non-TTY must pass --force)
lbg sdbx template rm <name>
lbg sdbx template rm <name> --force --json
GPU workflows: pick a GPU template shortcut (see platform-snapshot.md), then exec nvidia-smi to verify.
execexec joins positional args with spaces and sends them to bash -l -c inside the sandbox. Shell operators (&& / | / >) work as written.
lbg sdbx exec <sandbox_id> 'pwd' --json
lbg sdbx exec <sandbox_id> 'cd /workspace && python train.py'
lbg sdbx exec <sandbox_id> 'cat log.txt | grep ERROR | wc -l'
Default --timeout 60 (seconds). The caller blocks until done. Use foreground only for things that finish in under a minute.
lbg sdbx exec --background <sandbox_id> 'python train.py > /workspace/out/run.log 2>&1'
# returns {"pid": N, ...}
Background semantics:
--timeout defaults to 0 (unlimited). Do not pass a finite --timeout — it kills the remote command at that boundary (the CLI warns).lbg sdbx ps <id> (pid disappears when finished) or by tailing the log via files read.# 1) Output goes to a known path (convention: /workspace/out/)
lbg sdbx exec --background <id> 'mkdir -p /workspace/out && python train.py > /workspace/out/run.log 2>&1'
# 2) Poll until done
lbg sdbx ps <id> --json
lbg sdbx files read <id> /workspace/out/run.log # tail while running
# 3) Pull everything you need BEFORE kill — kill destroys the disk
lbg sdbx files read <id> /workspace/out/run.log --output ./run.log
lbg sdbx files read <id> /workspace/out/model.bin --format bytes --output ./model.bin
# 4) Verify locally (size / line count / checksum)
# 5) Finally kill
lbg sdbx kill <id>
files# Single file
lbg sdbx files write --source ./run.py <sandbox_id> /workspace/run.py --json
# Entire directory (single batch, relative paths preserved)
lbg sdbx files write --source ./project <sandbox_id> /workspace/project --json
# Download to stdout or to a file
lbg sdbx files read <sandbox_id> /workspace/result.csv
lbg sdbx files read <sandbox_id> /workspace/result.csv --output ./result.csv
# Binary (skip utf-8 decode)
lbg sdbx files read <sandbox_id> /workspace/model.bin --format bytes --output ./model.bin
For very large trees, tar locally first:
lbg sdbx files write --source ./big.tar.gz <id> /tmp/big.tar.gz && lbg sdbx exec <id> 'tar -xzf /tmp/big.tar.gz -C /workspace'
terminalOnly when you genuinely need a TTY: REPLs, TUIs (htop / vim), sending Ctrl-C to a stuck process. For "run a command, get its output", use exec.
lbg sdbx terminal create <sandbox_id> --json # default timeout=0
lbg sdbx terminal create <sandbox_id> --cwd /workspace --user root --json
lbg sdbx terminal send <sandbox_id> <pid> 'echo hi\n' # add \n yourself
lbg sdbx terminal send <sandbox_id> <pid> $'\x03' # Ctrl-C
lbg sdbx terminal kill <sandbox_id> <pid> --json # kills the pty only, not the sandbox
Important: terminal send returns only sent_bytes — the PTY's stdout is not echoed back. To capture output, redirect to a file inside the PTY and then files read:
lbg sdbx terminal send <id> <pid> $'cmd > /tmp/out 2>&1\n'
lbg sdbx files read <id> /tmp/out
Sandboxes default to no outbound proxy. The image-level /etc/pip.conf Aliyun mirror keeps domestic PyPI fast out of the box. Toggle the ga.dp.tech:8118 proxy on only for overseas reach (pypi.org / GitHub / HuggingFace), and turn it off afterwards.
lbg sdbx exec <id> -- bash -c '
mkdir -p ~/.pip && cat > ~/.pip/pip.conf <<EOF
[global]
proxy=http://ga.dp.tech:8118
EOF
cat > ~/.condarc <<EOF
proxy_servers:
http: http://ga.dp.tech:8118
https: http://ga.dp.tech:8118
ssl_verify: false
EOF
cat > ~/.curlrc <<EOF
proxy = http://ga.dp.tech:8118
EOF
git config --global http.proxy http://ga.dp.tech:8118
git config --global https.proxy http://ga.dp.tech:8118
'
lbg sdbx exec <id> -- bash -c '
rm -f ~/.pip/pip.conf ~/.condarc ~/.wgetrc ~/.curlrc
git config --global --unset http.proxy 2>/dev/null || true
git config --global --unset https.proxy 2>/dev/null || true
'
When the proxy is on and one specific command needs to skip it:
wget --no-proxy https://example.com/file
curl --noproxy '*' https://example.com/file
git -c http.proxy= -c https.proxy= clone <url>
pip install --proxy '' <pkg>
HTTP_PROXY= HTTPS_PROXY= http_proxy= https_proxy= <cmd>
When the proxy is on, HuggingFace / large git clone may hit intermittent 503 / TLS errors — retries usually succeed. Turn the proxy off when finished, otherwise domestic access stays slow.
aptis unavailable in the user-mode sandbox (no root). Bake system packages at image build time, not runtime.
SID=$(lbg sdbx create --json | jq -r .sandboxID)
lbg sdbx files write --source ./check_torch.py $SID /workspace/check_torch.py
lbg sdbx exec $SID 'cd /workspace && python check_torch.py'
lbg sdbx kill $SID
SID=$(lbg sdbx create <gpu-template> --timeout 0 --json | jq -r .sandboxID)
lbg sdbx files write --source ./project $SID /workspace/project
lbg sdbx exec --background $SID 'cd /workspace/project && python train.py > /workspace/out/run.log 2>&1'
# After a while
lbg sdbx ps $SID --json
lbg sdbx files read $SID /workspace/out/run.log --output ./run.log
lbg sdbx files read $SID /workspace/out/model.pt --format bytes --output ./model.pt
lbg sdbx kill $SID
SID=$(lbg sdbx create --json | jq -r .sandboxID)
# proxy on
lbg sdbx exec $SID -- bash -c '... see "Proxy on" snippet above ...'
lbg sdbx exec $SID 'pip install -i https://pypi.org/simple/ transformers'
lbg sdbx exec $SID 'python -c "from transformers import AutoTokenizer; ..."'
# proxy off
lbg sdbx exec $SID -- bash -c '... see "Proxy off" snippet above ...'
lbg sdbx kill $SID
lbg sdbx list first. Chain short tasks on one sandbox./workspace/out/ as the convention.--background --timeout 0: foreground's 60s default will kill them.nvidia-smi.--mount-user-storage is off by default: add it when you need the personal/share disks inside.| Symptom | Cause | Fix |
|---|---|---|
lbg: error: invalid choice: 'sdbx' | Stable lbg installed; no sdbx subcommand | pip install --pre --upgrade lbg to get the prerelease |
access key required / auth failure | No lbg login, BOHRIUM_ACCESS_KEY unset | lbg login --ak <key> or export the env var |
| Foreground command killed by timeout | Default --timeout 60 too short | Switch to --background --timeout 0 |
| Background command killed mid-run | Set both --background and a finite --timeout | Drop the finite timeout (default is 0) |
| Cannot read files after kill | Sandbox destroyed, disk gone | Always files read first, kill last |
| Overseas package install / git clone fails | Proxy not enabled | Turn on ga.dp.tech:8118; remember to disable after |
apt install fails | User-mode sandbox, no root | Bake system packages at image build time |
Invalid templateID | Passed a SKU / numeric id | Use the template name (lbg sdbx template ls) |
terminal send returns no output | PTY is streaming; only sent_bytes is returned | Redirect to a file in PTY, then files read |
kill refused in non-TTY context | Safety guard against killing busy sandboxes | Add --force |
| Sandbox auto-destroyed | Default 12h lifetime | --timeout N to extend, or --never-timeout (kill manually when done) |
lbg image ls, then lbg sdbx template create for a reusable template