drums-sdk
Python SDK for Drums: isolated desktop environments for computer-use agents and RL. Create a desktop, act in it, take screenshots, fork it into copies of the same state, and score it with a task's checker. Standard library only; Python 3.9 or later.
Full documentation: console.drums.run/docs
Five-minute start
1. Install
python3 -m venv drums-venv
drums-venv/bin/pip install drums-sdk
The package on PyPI is drums-sdk; the import name is drums.
import drums
2. Point it at your Drums
The SDK reads two environment variables. Your API key comes from API Keys in the
console; it starts with drums_sk_ and is shown once.
export DRUMS_URL=https://beta.drums.run/gw # Drums Cloud gateway; or http://127.0.0.1:7070 for a local drumsd
export DRUMS_TOKEN=drums_sk_... # your API key
The key is sent over HTTPS, or over plain HTTP to loopback only (localhost, 127.0.0.0/8, ::1). Any other
http:// URL raises drums.InsecureTransport before a request is made; drums.connect(url, token, allow_insecure_http=True) or DRUMS_ALLOW_INSECURE_HTTP=1 opts in.
Check the connection:
import drums
client = drums.connect() # reads DRUMS_URL and DRUMS_TOKEN
print(client.health()["version"])
A 401 raises drums.AuthError: the key is mistyped, revoked or expired.
3. Create a computer, screenshot, act, verify, destroy
Save as quickstart.py and run drums-venv/bin/python quickstart.py. It starts a desktop with OSWorld task
e0df059f (rename a folder on the Desktop), waits until every gate of the episode has passed, saves a screenshot,
performs the task with one action, runs the task's checker and closes the desktop.
import drums
with drums.connect() as client: # closes every desktop it created when the block ends
with client.create(task="e0df059f", ttl=900) as env: # OSWorld task id; ttl: lifetime in seconds
env.wait_valid() # every gate of this episode passed
obs = env.observe() # PNG screenshot plus metadata
open("screen.png", "wb").write(obs.png)
print("task:", obs.meta["instruction"])
env.step({"type": "execute", "shell": True,
"command": "mv ~/Desktop/todo_list_Jan_1 ~/Desktop/todo_list_Jan_2"})
reward = env.verify(strict=False) # the task's checker, with the episode's validity
print("score", reward.score, "valid", reward.valid, reward.invalid_reasons)
print("computers left:", len(client.envs())) # 0: the with-block destroyed it
Expected output (ids and sizes differ):
task: I have a directory named "todo_list_Jan_1". Can you help me change its name into "todo_list_Jan_2"?
score 1 valid True []
computers left: 0
A GUI agent acts with pyautogui instead of a shell command: env.step("pyautogui.click(960, 540)").
Use a score only when valid is True; with the default strict=True, verify() raises InvalidEpisode
for an invalid episode instead of returning a reward.
4. Go further
- Fork one desktop into N copies of the same state for group rollouts:
with env.fork(8) as kids: ...(guide) - Run a policy over many tasks: Evaluate on OSWorld
drums.aiois the asyncio variant of the same calls;drums.hybridadds shell, file and app-API tools over one desktop;drums mcpserves the whole workflow to an agent over MCP (stdio), see MCP server.- Every method: Python SDK reference. Every endpoint: HTTP API. If something fails: Errors.
How it behaves
- Cleanup.
with drums.connect() as client:closes every desktop the client created when the block ends, and so do process exit and SIGTERM/SIGHUP. Desktops and saved states also have server-side leases (default: reaped after 30 minutes unused), so a crashed trainer does not hold a host. - Validity. Every episode starts with a gate report (isolation, mounts, network, limits, state hash, processes
alive after resume).
Reward.validisTrueonly when every gate passed and the desktop was never quarantined. - Retries. GET requests are retried while the server is unreachable (up to
retry_s, default 60 s). POST and DELETE are never retried: after a lost reply the outcome is unknown, so checkclient.envs()before trying again. - Errors. Every failure is a typed exception under
drums.DrumsErrorcarrying the server's status, message and body; errors about a desktop carry its record and gate report.
MCP server
drums mcp (the same as python -m drums.mcp) is an MCP server on stdio that gives an agent the whole workflow:
start a computer, act in it, verify against a task checker, fork and reset it, and read run results. It talks to
the Drums gateway (or a plain drumsd for the desktop tools) at DRUMS_URL with DRUMS_TOKEN.
drums mcp # all tools; desktop tools take computer_id
drums mcp --env <computer_id> # desktop tools default to this computer
drums mcp --create [--task FILE] # create one computer, bind it, close it on exit
drums mcp --print-config claude|claude-local|cursor|codex
The same tool list is served remotely by the gateway at <GATEWAY_URL>/mcp (MCP Streamable HTTP, authenticated
with a workspace API key; Drums MCP uses API keys, not OAuth). Replace <GATEWAY_URL> with your workspace's gateway
URL and drums_sk_... with a key from the console.
Claude Code, remote:
claude mcp add --transport http drums <GATEWAY_URL>/mcp --header "Authorization: Bearer drums_sk_..."
Claude Code, local (this package):
claude mcp add drums -e DRUMS_URL=<GATEWAY_URL> -e DRUMS_TOKEN=drums_sk_... -- drums mcp
Cursor (~/.cursor/mcp.json or .cursor/mcp.json):
{"mcpServers": {"drums": {"url": "<GATEWAY_URL>/mcp", "headers": {"Authorization": "Bearer drums_sk_..."}}}}
Codex (~/.codex/config.toml):
[mcp_servers.drums]
command = "drums"
args = ["mcp"]
env = { DRUMS_URL = "<GATEWAY_URL>", DRUMS_TOKEN = "drums_sk_..." }
This repository is also a Claude Code plugin (.claude-plugin/plugin.json, .mcp.json, and the
drums-workflow skill under skills/), which installs the server and a skill that teaches the loop below.
Tools
Workspace tools (the gateway's HTTP API; * needs the Drums gateway and answers "not available on this server"
against a plain drumsd):
| tool | what it does |
|---|---|
list_templates |
base desktop images a computer can start from |
list_computers, get_computer |
the workspace's computers: state, validity, task |
create_computer |
a new computer from a template or snapshot, optionally with a task |
destroy_computer |
close a computer for good (destructive) |
list_snapshots, create_snapshot, delete_snapshot |
saved desktop states (delete is destructive) |
list_tasks, get_task |
the verified computer-use tasks on the host |
list_runs, create_run, get_run * |
runs: submit a RunSpec, read status, counts and events |
list_evaluations, create_evaluation, get_evaluation * |
runs with kind evaluation |
list_api_keys, create_api_key, revoke_api_key * |
API keys (metadata only; revoke is destructive) |
read_audit_log * |
who did what, newest first; MCP calls appear as mcp.<tool> |
Desktop tools (each takes computer_id):
| tool | what it does |
|---|---|
gui |
pyautogui code in the desktop (1920x1080) |
screenshot |
a PNG of the desktop (image content) |
shell |
a bash command as the desktop user (no root, no internet) |
read_file, write_file, list_dir |
the desktop's files (~ is /home/user) |
office_convert, spreadsheet_read |
LibreOffice conversions and sheet reads |
browser_tabs, browser_open |
Chrome tabs through its DevTools port (1337) |
load_task |
load a task into a running computer (setup runs, a new episode starts) |
verify |
score the desktop with the task's checker: score, valid, trusted, audit flags |
fork |
n children that continue from this exact state; the parent keeps running |
reset |
back to the clean template state; the task's setup runs again |
The canonical list with every input schema is drums/mcp_tools.json; tools/list returns exactly it, in order.
Safety
- Gated tools need
confirm: truefrom the caller.destroy_computer,delete_snapshotandrevoke_api_key(the tools markeddestructiveinmcp_tools.json) are refused before any request is sent unless the tool arguments carryconfirm: true. The caller (the agent) supplies that argument; Drums does not prompt anyone. Whether a person approves the call is the MCP client's job (Claude Code, Cursor and Codex each have their own tool-approval settings): there is no confirmation step inside Drums, andconfirm: truefrom the caller is the only thing the server checks.resetalso discards a computer's desktop state, but it is not gated. - The token only travels over HTTPS, or over plain HTTP to loopback (
localhost,127.0.0.0/8,::1, where a local drumsd listens). With a token set, any otherhttp://URL in--urlorDRUMS_URLis refused before a request is sent, with a message naming the host and the opt-ins (never the token). To send the token over plain HTTP anyway, opt in:drums mcp --allow-insecure-http,DRUMS_ALLOW_INSECURE_HTTP=1, ordrums.connect(url, token, allow_insecure_http=True)/drums.Client(..., allow_insecure_http=True)in the SDK (theClientapplies the same rule, so SDK scripts are covered too; the error isdrums.InsecureTransport). - Redirects are followed only to the same origin (scheme, host, port), at most 5 hops, with the same transport
check on each hop; any other redirect raises
drums.RedirectRefusedbefore it is followed, so the token is never re-sent to another host or over plain HTTP because a server saidLocation. - Arguments are checked against the tool's schema before anything is sent; a violation is a tool error naming the
field. A tool failure is always a tool result with
isError, never a protocol error. --print-configprints placeholders (<GATEWAY_URL>when no URL is known, alwaysdrums_sk_...), never a key.- The token comes from
DRUMS_TOKEN, else the fileDRUMS_TOKEN_FILE, else/etc/drums/token; it is never printed or written by the server, and never appears in an error message. - Keys are workspace-scoped on the gateway: a key never sees another workspace's computers.
create_api_keyreturns the plaintext key once; nothing stores it.
Development
git clone https://github.com/Drums-Labs/drums-python-sdk.git
cd drums-python-sdk
python3 -m unittest discover -s tests -v # runs against a fake daemon; no network
See CHANGELOG.md for what changed in each version and RELEASE.md for how a release is cut.
Metadata
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