arkclaw-python-sdk 0.1.0

Python SDK and CLI for the Volcengine ArkClaw, with high-level workflow helpers.

arkclaw-python-sdk

Python SDK and CLI for ArkClaw OpenAPI 2026-05-01.

This package provides typed Python wrappers, a CLI, and higher-level helpers for ArkClaw automation:

• AK/SK request signing for ArkClaw OpenAPI.
• Connection pooling, timeout controls, retry backoff, proxy, and SSL options.
• WebSocket message sessions for sending messages to an ArkClaw instance.
• Small workflows built from ArkClaw OpenAPI actions.

Install

Install from PyPI:

pip install arkclaw-python-sdk

Or install from a source checkout:

pip install .

Authentication

Set either ArkClaw-specific or Volcengine credentials:

export ARKCLAW_ACCESS_KEY="your-ak"
export ARKCLAW_SECRET_KEY="your-sk"
export ARKCLAW_REGION="cn-beijing"

or:

export VOLCENGINE_ACCESS_KEY="your-ak"
export VOLCENGINE_SECRET_KEY="your-sk"
export VOLCENGINE_REGION="cn-beijing"

API Coverage

ArkClaw API coverage is actively evolving. New operations and capabilities will continue to be added as the public API develops; see CHANGELOG.md for updates.

Spaces:

OpenAPI action	SDK method	CLI command
ListClawSpaces	client.spaces.list	arkclaw space list
UpdateUsersModelConfig	client.spaces.update_users_model_config	arkclaw space update-users-model-config

Instances:

OpenAPI action	SDK method	CLI command
CreateClawInstance	client.instances.create	arkclaw instance create
UpdateClawInstanceModel	client.instances.update_model	arkclaw instance update-model
GetClawInstanceChatToken	client.instances.get_chat_token	arkclaw instance chat-token
GetClawInstance	client.instances.get	arkclaw instance get
UpdateClawInstanceChannel	client.instances.update_channel	arkclaw instance update-channel
ListClawInstances	client.instances.list	arkclaw instance list
StartClawInstance	client.instances.start	arkclaw instance start
StopClawInstance	client.instances.stop	arkclaw instance stop
ResetClawInstance	client.instances.reset	arkclaw instance reset
UpdateClawInstance	client.instances.update	arkclaw instance update
DeleteClawInstance	client.instances.delete	arkclaw instance delete
GetClawInstanceTerminalToken	client.instances.get_terminal_token	arkclaw instance terminal-token

Users:

OpenAPI action	SDK method	CLI command
CreateUsers	client.users.create_many	arkclaw user create-many
CreateUser	client.users.create	arkclaw user create
UpdateUser	client.users.update	arkclaw user update
DeleteUser	client.users.delete	arkclaw user delete

Additional SDK workflows include wait_for_instance, provision_instance, and prepare_chat_access under client.workflows.

SDK Quick Start

from arkclaw import ArkClawClient

client = ArkClawClient.from_env()

spaces = client.spaces.list()

model_config_result = client.spaces.update_users_model_config(
    space_id="csi-xxx",
    user_ids=["user-xxx"],
    model_config={"coding_plan_seat_type": "Lite"},
)

instance = client.instances.create(
    space_id="csi-xxx",
    user_id="user-xxx",
    instance_name="demo-claw",
    seat_type="Starter",
    template_id="ctpl-xxx",  # Optional: create from a template
)

token = client.instances.get_chat_token(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
)

client.instances.stop(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
)

client.instances.reset(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
    dry_run=True,
)

client.instances.update(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
    instance_name="demo-claw-renamed",
)

terminal = client.instances.get_terminal_token(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
)

client.instances.delete(
    space_id="csi-xxx",
    instance_id=instance["InstanceId"],
    recycle=True,
)

Error Handling

from arkclaw import ApiError, ArkClawClient, ValidationError

client = ArkClawClient.from_env()

try:
    result = client.instances.get(space_id="csi-xxx", instance_id="ci-xxx")
except ValidationError as exc:
    print(f"invalid request: {exc}")
except ApiError as exc:
    print(
        "api error",
        exc.code,
        exc.request_id,
        exc.status_code,
        exc.action,
        exc.retryable,
    )
else:
    print(result)

Runtime Options

The client uses an urllib3 connection pool by default and retries transient transport failures or retryable HTTP statuses.

from arkclaw import ArkClawClient, RuntimeOptions

client = ArkClawClient.from_env(
    connect_timeout=10,
    read_timeout=30,
    max_retries=3,
    retry_backoff=0.5,
    max_retry_backoff=30,
)

instance = client.instances.get(
    space_id="csi-xxx",
    instance_id="ci-xxx",
    runtime_options=RuntimeOptions(
        read_timeout=60,
        max_retries=5,
        proxy="http://127.0.0.1:8080",
    ),
)

Common client-level options:

• version, service, host, and scheme: API endpoint and signing controls.
• connect_timeout: time allowed to establish the TCP/TLS connection.
• read_timeout: time allowed to wait for response data after the request is sent.
• max_retries: retry count for network errors and retryable HTTP statuses.
• retry_backoff: base delay for exponential retry backoff.
• max_retry_backoff: upper bound for retry sleep time.
• retry_jitter and retry_statuses: retry timing and eligible HTTP statuses.
• num_pools: number of host connection pools retained by the HTTP manager.
• connection_pool_maxsize: maximum reusable connections per host pool.
• proxy: HTTP/HTTPS proxy URL.
• verify_ssl and ca_cert: SSL verification controls.
• extra_headers: additional headers included in signed requests.
• debug: emit request retry and response metadata through Python logging.

Per-request RuntimeOptions can override connect/read timeouts, retry backoff, proxy and TLS settings, validation behavior, and additional headers.

CLI Quick Start

arkclaw --help
arkclaw instance --help

Supported command groups and subcommands:

Group	Subcommands
space	list, update-users-model-config
user	create, create-many, update, delete
instance	create, update-model, chat-token, get, update-channel, list, start, stop, reset, update, delete, terminal-token, wait
message	send, shell

Selected examples:

arkclaw space list

arkclaw space update-users-model-config \
  --space-id csi-xxx \
  --user-id user-xxx \
  --coding-plan-seat-type Lite

arkclaw user create \
  --space-id csi-xxx \
  --email [e-mail] \
  --name Alice

arkclaw instance create \
  --space-id csi-xxx \
  --user-id user-xxx \
  --instance-name demo-claw \
  --seat-type Starter \
  --template-id ctpl-xxx

arkclaw instance chat-token \
  --space-id csi-xxx \
  --instance-id ci-xxx

arkclaw instance stop \
  --space-id csi-xxx \
  --instance-id ci-xxx

arkclaw instance reset \
  --space-id csi-xxx \
  --instance-id ci-xxx \
  --dry-run true

arkclaw instance update \
  --space-id csi-xxx \
  --instance-id ci-xxx \
  --instance-name demo-claw-renamed

arkclaw instance terminal-token \
  --space-id csi-xxx \
  --instance-id ci-xxx

arkclaw instance delete \
  --space-id csi-xxx \
  --instance-id ci-xxx \
  --recycle true

Message Sessions

The SDK can maintain a WebSocket chat session, reuse the connection, and retry after timeouts or connection closures.

from arkclaw import ArkClawClient

client = ArkClawClient.from_env()

with client.create_message_session(
    space_id="csi-xxx",
    instance_id="ci-xxx",
    wait=True,
    receive_timeout=120,
) as session:
    result = session.send_message("你好")
    print(result)

CLI:

arkclaw message send \
  --space-id csi-xxx \
  --instance-id ci-xxx \
  --message "你好" \
  --stream \
  --text-only

arkclaw message shell \
  --space-id csi-xxx \
  --instance-id ci-xxx \
  --text-only

examples/send_message.py reads .env and sends one test message. It requires ARKCLAW_SPACE_ID and ARKCLAW_INSTANCE_ID.

Best Practice Notebook

For an end-to-end SDK walkthrough, see notebooks/arkclaw_sdk_best_practice.ipynb. It covers client setup, runtime options, instance lifecycle, chat access, message sending, and error handling.

Workflows

Workflows are convenience helpers layered on top of ArkClaw OpenAPI actions:

client.workflows.provision_instance(
    space_id="csi-xxx",
    user_id="user-xxx",
    instance_name="demo-claw",
    seat_type="Starter",
    template_id="ctpl-xxx",  # optional
    wait=True,
)

client.workflows.wait_for_instance(
    space_id="csi-xxx",
    instance_id="ci-xxx",
    target_status="Running",
)

client.workflows.prepare_chat_access(
    space_id="csi-xxx",
    instance_id="ci-xxx",
    wait=True,
)

Global CLI Options

Option	Default	Description
--region	env ARKCLAW_REGION / VOLCENGINE_REGION / cn-beijing	API region
--access-key	env ARKCLAW_ACCESS_KEY / VOLCENGINE_ACCESS_KEY	Access key
--secret-key	env ARKCLAW_SECRET_KEY / VOLCENGINE_SECRET_KEY	Secret key
--version	2026-05-01	OpenAPI version
--service	arkclaw	Volcengine service name
--host	derived from service and region	Override API host
--timeout, --read-timeout	30	HTTP read timeout seconds
--connect-timeout	10	HTTP connect timeout seconds
--max-retries	3	Transport/retryable HTTP retries
--retry-backoff	0.5	Exponential retry base backoff seconds
--max-retry-backoff	30	Maximum retry backoff seconds
--proxy	unset	HTTP/HTTPS proxy URL
--no-verify-ssl	disabled	Disable SSL certificate verification
--ca-cert	unset	Custom CA certificate bundle
--debug	disabled	Enable SDK debug logging

Development

python -m pip install -e ".[dev]"
python -m unittest discover -s tests -p "test_*.py"
python -m compileall arkclaw examples
ruff check arkclaw tests examples
mypy arkclaw
python -m build
twine check dist/*

Live integration smoke tests are skipped by default. To run them, export real credentials plus ARKCLAW_SPACE_ID, then run:

python -m unittest tests.test_integration_smoke

ARKCLAW_INSTANCE_ID can optionally select an existing instance. Lifecycle tests provision temporary instances when the required test-user configuration is available. Additional model-configuration smoke cases use the optional ARKCLAW_MODEL_CONFIG_* environment variables documented in tests/test_integration_smoke.py.

License

Apache License 2.0. See LICENSE.