union CLI#

The union CLI is the main tool developers use to interact with Union on the command line.

Installation#

To install the latest version of the union CLI, run the following command:

$ pip install -U union

This will install:

The union command line tool
The union SDK
The flytekit SDK

Configure the `union` CLI#

To configure the union CLI to connect to Union Serverless, run the following command:

$ union create login --serverless

To configure the union CLI to connect to you Union BYOC instance, run the following command:

$ union create login --host <union-host-url>

where <union-host-url> is the URL of your Union instance.

These command will create the file ~/.union/config.yaml with the configuration information to connect to the desired Union instance (Serverless or your own specific BYOC).

See Quick start for more details.

Overriding the configuration file location#

By default, the union CLI will look for a configuration file at ~/.union/config.yaml.

You can override this behavior to specify a different configuration file by setting the UNION_CONFIG environment variable:

export UNION_CONFIG=~/.my-config-location/my-config.yaml

Alternatively, you can always specify the configuration file on the command line when invoking union by using the --config flag:

$ union --config ~/.my-config-location/my-config.yaml run my_script.py my_workflow

`union` CLI configuration search path#

The union CLI will check for configuration files as follows:

First, if a --config option is used, it will use the specified config file.

Second, the config files pointed to by the following environment variables (in this order):

UNION_CONFIG
UNIONAI_CONFIG
UCTL_CONFIG

Third, the following hard-coded locations (in this order):

~/.union/config.yaml
~/.uctl/config.yaml

If none of these are present, the CLI will raise an error.

`union` CLI commands#

union#

Entrypoint for all the user commands.

union [OPTIONS] COMMAND [ARGS]...

Options

-v, --verbose#: Show verbose messages and exception traces

-k, --pkgs <pkgs>#: Dot-delineated python packages to operate on. Multiple may be specified (can use commas, or specify the switch multiple times. Please note that this option will override the option specified in the configuration file, or environment variable

-c, --config <config>#: Path to config file for use within container

backfill#

The backfill command generates and registers a new workflow based on the input launchplan to run an automated backfill. The workflow can be managed using the UI and can be canceled, relaunched, and recovered.

launchplan refers to the name of the Launchplan

launchplan_version is optional and should be a valid version for a Launchplan version.

union backfill [OPTIONS] LAUNCHPLAN [LAUNCHPLAN_VERSION]

Options

-p, --project <project>#

Project for workflow/launchplan. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain for workflow/launchplan, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

-v, --version <version>#: Version for the registered workflow. If not specified it is auto-derived using the start and end date

-n, --execution-name <execution_name>#: Create a named execution for the backfill. This can prevent launching multiple executions.

--dry-run#

Just generate the workflow - do not register or execute

Default:: False

--parallel, --serial#

All backfill steps can be run in parallel (limited by max-parallelism), if using --parallel. Else all steps will be run sequentially [--serial].

Default:: False

--execute, --do-not-execute#

Generate the workflow and register, do not execute

Default:: True

--from-date <from_date>#: Date from which the backfill should begin. Start date is inclusive.

--to-date <to_date>#: Date to which the backfill should run_until. End date is inclusive

--backfill-window <backfill_window>#: Timedelta for number of days, minutes hours after the from-date or before the to-date to compute the backfills between. This is needed with from-date / to-date. Optional if both from-date and to-date are provided

--fail-fast, --no-fail-fast#

If set to true, the backfill will fail immediately (WorkflowFailurePolicy.FAIL_IMMEDIATELY) if any of the backfill steps fail. If set to false, the backfill will continue to run even if some of the backfill steps fail (WorkflowFailurePolicy.FAIL_AFTER_EXECUTABLE_NODES_COMPLETE).

Default:: True

--overwrite-cache#

Whether to overwrite the cache if it already exists.

Default:: False

Arguments

LAUNCHPLAN#: Required argument

LAUNCHPLAN_VERSION#: Optional argument

build#

This command can build an image for a workflow or a task from the command line, for fully self-contained scripts.

union build [OPTIONS] COMMAND [ARGS]...

Options

-p, --project <project>#

Project to register and run this workflow in. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain to register and run this workflow in, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

--destination-dir <destination_dir>#

Directory inside the image where the tar file containing the code will be copied to

Default:: '.'

--copy-all#

[Deprecated, see –copy] Copy all files in the source root directory to the destination directory. You can specify –copy all instead

Default:: False

--copy <copy>#

Specifies how to detect which files to copy into image. ‘all’ will behave as the deprecated copy-all flag, ‘auto’ copies only loaded Python modules

Default:: 'auto'
Options:: all | auto

-i, --image <image_config>#

Multiple values allowed.Image used to register and run.

Default:: 'cr.union.ai/union/unionai:py3.11-latest' (Serverless), 'cr.flyte.org/flyteorg/flytekit:py3.9-latest' (BYOC)

--service-account <service_account>#: Service account used when executing this workflow

--wait-execution#

Whether to wait for the execution to finish

Default:: False

--dump-snippet#

Whether to dump a code snippet instructing how to load the workflow execution using UnionRemote

Default:: False

--overwrite-cache#

Whether to overwrite the cache if it already exists

Default:: False

--envvars, --env <envvars>#: Multiple values allowed.Environment variables to set in the container, of the format ENV_NAME=ENV_VALUE

--tags, --tag <tags>#: Multiple values allowed.Tags to set for the execution

--name <name>#: Name to assign to this execution

--labels, --label <labels>#: Multiple values allowed.Labels to be attached to the execution of the format label_key=label_value.

--annotations, --annotation <annotations>#: Multiple values allowed.Annotations to be attached to the execution of the format key=value.

--raw-output-data-prefix, --raw-data-prefix <raw_output_data_prefix>#: File Path prefix to store raw output data. Examples are file://, s3://, gs:// etc as supported by fsspec. If not specified, raw data will be stored in default configured location in remote of locally to temp file system.Note, this is not metadata, but only the raw data location used to store Flytefile, Flytedirectory, Structuredataset, dataframes

--max-parallelism <max_parallelism>#: Number of nodes of a workflow that can be executed in parallel. If not specified, project/domain defaults are used. If 0 then it is unlimited.

--disable-notifications#

Should notifications be disabled for this execution.

Default:: False

-r, --remote#

Whether to register and run the workflow on a Union deployment

Default:: False

--limit <limit>#

Use this to limit number of entities to fetch

Default:: 50

--cluster-pool <cluster_pool>#: Assign newly created execution to a given cluster pool

--execution-cluster-label, --ecl <execution_cluster_label>#: Assign newly created execution to a given execution cluster label

--fast#

Use fast serialization. The image won’t contain the source code. The value is false by default.

Default:: False

build.py#

Build an image for [workflow|task] from build.py

union build build.py [OPTIONS] COMMAND [ARGS]...

build_async.py#

Build an image for [workflow|task] from build_async.py

union build build_async.py [OPTIONS] COMMAND [ARGS]...

pygments.py#

Build an image for [workflow|task] from pygments.py

union build pygments.py [OPTIONS] COMMAND [ARGS]...

create#

Create a resource.

union create [OPTIONS] COMMAND [ARGS]...

app#

Create a app with CLIENT_NAME.

union create app [OPTIONS] CLIENT_NAME

Arguments

CLIENT_NAME#: Required argument

login#

Log into Union

On Union Serverless run: union create login –serverless
On Union BYOC run: union create login –host UNION_TENANT

union create login [OPTIONS]

Options

--auth <auth>#

Authorization method to ues

Options:: device-flow | pkce

--host <host>#: Host to connect to. Mutually exclusive with serverless.

--serverless#: Connect to serverless. Mutually exclusive with host.

secret#

Create a secret with NAME.

union create secret [OPTIONS] NAME

Options

--value <value>#: Secret value Mutually exclusive with value_file.

-f, --value-file <value_file>#: Path to file containing the secret Mutually exclusive with value.

--project <project>#: Project name

--domain <domain>#: Domain name

Arguments

NAME#: Required argument

workspace#

Create workspace.

union create workspace [OPTIONS] CONFIG_FILE

Arguments

CONFIG_FILE#: Required argument

workspace-config#

Create workspace config at CONFIG_FILE.

union create workspace-config [OPTIONS] CONFIG_FILE

Options

--init <init>#

Required

Options:: base_image

Arguments

CONFIG_FILE#: Required argument

delete#

Delete a resource.

union delete [OPTIONS] COMMAND [ARGS]...

app#

Delete app with CLIENT_ID.

union delete app [OPTIONS] CLIENT_ID

Arguments

CLIENT_ID#: Required argument

secret#

Delete secret with NAME.

union delete secret [OPTIONS] NAME

Options

--project <project>#: Project name

--domain <domain>#: Domain name

Arguments

NAME#: Required argument

workspace#

Delete workspace with NAME.

union delete workspace [OPTIONS] NAME

Options

--project <project>#: Project name

--domain <domain>#: Domain name

Arguments

NAME#: Required argument

execution#

The execution command allows you to interact with Union’s execution system, such as recovering/relaunching a failed execution.

union execution [OPTIONS] COMMAND [ARGS]...

Options

-p, --project <project>#

Project for workflow/launchplan. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain for workflow/launchplan, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

--execution-id <execution_id>#: Required The execution id

recover#

Recover a failed execution

union execution recover [OPTIONS]

relaunch#

Relaunch a failed execution

union execution relaunch [OPTIONS]

fetch#

Retrieve Inputs/Outputs for a Union execution or any of the inner node executions from the remote server.

The URI can be retrieved from the UI, or by invoking the get_data API.

union fetch [OPTIONS] FLYTE-DATA-URI (format flyte://...) DOWNLOAD-TO Local
            path (optional)

Options

-r, --recursive#: Fetch recursively, all variables in the URI. This is not needed for directories as they are automatically recursively downloaded.

Arguments

FLYTE-DATA-URI (format flyte://...)#: Required argument

DOWNLOAD-TO Local path (optional)#: Optional argument

get#

Get a single or multiple remote objects.

union get [OPTIONS] COMMAND [ARGS]...

app#

Get applications.

union get app [OPTIONS]

launchplan#

Interact with launchplans.

union get launchplan [OPTIONS] LAUNCHPLAN-NAME LAUNCHPLAN-VERSION

Options

--active-only, --scheduled#: Only return active launchplans.

-p, --project <project>#

Project for workflow/launchplan. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain for workflow/launchplan, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

-l, --limit <limit>#: Limit the number of launchplans returned.

Arguments

LAUNCHPLAN-NAME#: Optional argument

LAUNCHPLAN-VERSION#: Optional argument

secret#

Get secrets.

union get secret [OPTIONS]

Options

--project <project>#: Project name

--domain <domain>#: Domain name

workspace#

Get workspaces.

union get workspace [OPTIONS]

Options

--name <name>#

--project <project>#: Project name

--domain <domain>#: Domain name

--show-details#: Show additional details

info#

union info [OPTIONS]

init#

Create Union-ready projects.

union init [OPTIONS] PROJECT_NAME

Options

--template <template>#: template folder name to be used in the repo - flyteorg/flytekit-python-template.git

Arguments

PROJECT_NAME#: Required argument

launchplan#

The launchplan command activates or deactivates a specified or the latest version of the launchplan. If --activate is chosen then the previous version of the launchplan will be deactivated.

launchplan refers to the name of the Launchplan
launchplan_version is optional and should be a valid version for a Launchplan version. If not specified the latest will be used.

union launchplan [OPTIONS] LAUNCHPLAN [LAUNCHPLAN_VERSION]

Options

-p, --project <project>#

Project for workflow/launchplan. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain for workflow/launchplan, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

--activate, --deactivate#: Required Activate or Deactivate the launchplan

Arguments

LAUNCHPLAN#: Required argument

LAUNCHPLAN_VERSION#: Optional argument

local-cache#

Interact with the local cache.

union local-cache [OPTIONS] COMMAND [ARGS]...

clear#

This command will remove all stored objects from local cache.

union local-cache clear [OPTIONS]

metrics#

union metrics [OPTIONS] COMMAND [ARGS]...

Options

-d, --depth <depth>#: The depth of Flyte entity hierarchy to traverse when computing metrics for this execution

-p, --project <project>#: The project of the workflow execution

-d, --domain <domain>#: The domain of the workflow execution

dump#

The dump command aggregates workflow execution metrics and displays them. This aggregation is meant to provide an easy to understand breakdown of where time is spent in a hierarchical manner.

execution_id refers to the id of the workflow execution

union metrics dump [OPTIONS] EXECUTION_ID

Arguments

EXECUTION_ID#: Required argument

explain#

The explain command prints each individual execution span and the associated timestamps and Flyte entity reference. This breakdown provides precise information into exactly how and when Flyte processes a workflow execution.

execution_id refers to the id of the workflow execution

union metrics explain [OPTIONS] EXECUTION_ID

Arguments

EXECUTION_ID#: Required argument

package#

This command produces a Union backend registrable package of all entities in Union. For tasks, one pb file is produced for each task, representing one TaskTemplate object. For workflows, one pb file is produced for each workflow, representing a WorkflowClosure object. The closure object contains the WorkflowTemplate, along with the relevant tasks for that workflow. This serialization step will set the name of the tasks to the fully qualified name of the task function.

union package [OPTIONS]

Options

-i, --image <image_config>#: A fully qualified tag for an docker image, for example somedocker.com/myimage:someversion123. This is a multi-option and can be of the form --image xyz.io/docker:latest --image my_image=xyz.io/docker2:latest. Note, the name=image_uri. The name is optional, if not provided the image will be used as the default image. All the names have to be unique, and thus there can only be one --image option with no name.

-s, --source <source>#: Local filesystem path to the root of the package.

-o, --output <output>#: Filesystem path to the source of the Python package (from where the pkgs will start).

--fast#: [Deprecated, see –copy] This flag enables fast packaging, that allows no container build deploys of flyte workflows and tasks. You should specify –copy all/auto instead Note this needs additional configuration, refer to the docs.

--copy <copy>#

Specify whether local files should be copied and uploaded so task containers have up-to-date code ‘all’ will behave as the current ‘fast’ flag, copying all files, ‘auto’ copies only loaded Python modules

Default:: 'none'
Options:: all | auto | none

-f, --force#: This flag enables overriding existing output files. If not specified, package will exit with an error, when an output file already exists.

-p, --python-interpreter <python_interpreter>#: Use this to override the default location of the in-container python interpreter that will be used by Flyte to load your program. This is usually where you install union and flytekit within the container.

-d, --in-container-source-path <in_container_source_path>#: Filesystem path to where the code is copied into within the Dockerfile. look for COPY . /root like command.

--deref-symlinks#: Enables symlink dereferencing when packaging files in fast registration

--env, --envvars <env>#: Environment variables to set in the container, of the format ENV_NAME=ENV_VALUE

register#

This command is similar to package but instead of producing a zip file, all your Flyte entities are compiled, and then sent to the backend specified by your config file. Think of this as combining the union package and the uctl register steps in one command. This is why you see switches you’d normally use with uctl like service account here.

Note: This command runs “fast” register by default. This means that a zip is created from the detected root of the packages given and uploaded. Just like with union run, tasks registered from this command will download and unzip that code package before running.

Note: This command only works on regular Python packages, not namespace packages. When determining the root of your project, it finds the first folder that does not have a __init__.py file.

union register [OPTIONS] [PACKAGE_OR_MODULE]...

Options

-p, --project <project>#

Project for workflow/launchplan. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain for workflow/launchplan, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

-i, --image <image_config>#: A fully qualified tag for an docker image, for example somedocker.com/myimage:someversion123. This is a multi-option and can be of the form --image xyz.io/docker:latest --image my_image=xyz.io/docker2:latest. Note, the name=image_uri. The name is optional, if not provided the image will be used as the default image. All the names have to be unique, and thus there can only be one --image option with no name.

-o, --output <output>#: Directory to write the output tar file containing the protobuf definitions

-D, --destination-dir <destination_dir>#: Directory inside the image where the tar file containing the code will be copied to

--service-account <service_account>#: Service account used when creating launch plans

--raw-data-prefix <raw_data_prefix>#: Raw output data prefix when creating launch plans, where offloaded data will be stored

-v, --version <version>#: Version the package or module is registered with

--deref-symlinks#: Enables symlink dereferencing when packaging files in fast registration

--non-fast#: [Deprecated, see –copy] Skip zipping and uploading the package. You should specify –copy none instead

--copy <copy>#

Specify how and whether to use fast register ‘all’ is the current behavior copying all files from root, ‘auto’ copies only loaded Python modules ‘none’ means no files are copied, i.e. don’t use fast register

Default:: 'all'
Options:: all | auto | none

--dry-run#: Execute registration in dry-run mode. Skips actual registration to remote

--activate-launchplans, --activate-launchplan#: Activate newly registered Launchplans. This operation deactivates previous versions of Launchplans.

--env, --envvars <env>#: Environment variables to set in the container, of the format ENV_NAME=ENV_VALUE

--skip-errors, --skip-error#: Skip errors during registration. This is useful when registering multiple packages and you want to skip errors for some packages.

Arguments

PACKAGE_OR_MODULE#: Optional argument(s)

run#

This command can execute either a workflow or a task from the command line, allowing for fully self-contained scripts. Tasks and workflows can be imported from other files.

Note: This command is compatible with regular Python packages, but not with namespace packages. When determining the root of your project, it identifies the first folder without an __init__.py file.

union run [OPTIONS] COMMAND [ARGS]...

Options

-p, --project <project>#

Project to register and run this workflow in. Can also be set through envvar FLYTE_DEFAULT_PROJECT

Default:: 'flytesnacks'

-d, --domain <domain>#

Domain to register and run this workflow in, can also be set through envvar FLYTE_DEFAULT_DOMAIN

Default:: 'development'

--destination-dir <destination_dir>#

Directory inside the image where the tar file containing the code will be copied to

Default:: '.'

--copy-all#

[Deprecated, see –copy] Copy all files in the source root directory to the destination directory. You can specify –copy all instead

Default:: False

--copy <copy>#

Specifies how to detect which files to copy into image. ‘all’ will behave as the deprecated copy-all flag, ‘auto’ copies only loaded Python modules

Default:: 'auto'
Options:: all | auto

-i, --image <image_config>#

Multiple values allowed.Image used to register and run.

Default:: 'cr.union.ai/union/unionai:py3.11-latest' (Serverless), 'cr.flyte.org/flyteorg/flytekit:py3.9-latest' (BYOC)

--service-account <service_account>#: Service account used when executing this workflow

--wait-execution#

Whether to wait for the execution to finish

Default:: False

--dump-snippet#

Whether to dump a code snippet instructing how to load the workflow execution using UnionRemote

Default:: False

--overwrite-cache#

Whether to overwrite the cache if it already exists

Default:: False

--envvars, --env <envvars>#: Multiple values allowed.Environment variables to set in the container, of the format ENV_NAME=ENV_VALUE

--tags, --tag <tags>#: Multiple values allowed.Tags to set for the execution

--name <name>#: Name to assign to this execution

--labels, --label <labels>#: Multiple values allowed.Labels to be attached to the execution of the format label_key=label_value.

--annotations, --annotation <annotations>#: Multiple values allowed.Annotations to be attached to the execution of the format key=value.

--raw-output-data-prefix, --raw-data-prefix <raw_output_data_prefix>#: File Path prefix to store raw output data. Examples are file://, s3://, gs:// etc as supported by fsspec. If not specified, raw data will be stored in default configured location in remote of locally to temp file system.Note, this is not metadata, but only the raw data location used to store Flytefile, Flytedirectory, Structuredataset, dataframes

--max-parallelism <max_parallelism>#: Number of nodes of a workflow that can be executed in parallel. If not specified, project/domain defaults are used. If 0 then it is unlimited.

--disable-notifications#

Should notifications be disabled for this execution.

Default:: False

-r, --remote#

Whether to register and run the workflow on a Union deployment

Default:: False

--limit <limit>#

Use this to limit number of entities to fetch

Default:: 50

--cluster-pool <cluster_pool>#: Assign newly created execution to a given cluster pool

--execution-cluster-label, --ecl <execution_cluster_label>#: Assign newly created execution to a given execution cluster label

build.py#

Run a [workflow|task] from build.py

union run build.py [OPTIONS] COMMAND [ARGS]...

build_async.py#

Run a [workflow|task] from build_async.py

union run build_async.py [OPTIONS] COMMAND [ARGS]...

pygments.py#

Run a [workflow|task] from pygments.py

union run pygments.py [OPTIONS] COMMAND [ARGS]...

remote-launchplan#

Retrieve remote-launchplan from a remote Union instance and execute them.

union run remote-launchplan [OPTIONS] COMMAND [ARGS]...

remote-task#

Retrieve remote-task from a remote Union instance and execute them.

union run remote-task [OPTIONS] COMMAND [ARGS]...

remote-workflow#

Retrieve remote-workflow from a remote Union instance and execute them.

union run remote-workflow [OPTIONS] COMMAND [ARGS]...

serialize#

This command produces protobufs for tasks and templates. For tasks, one pb file is produced for each task, representing one TaskTemplate object. For workflows, one pb file is produced for each workflow, representing a WorkflowClosure object. The closure object contains the WorkflowTemplate, along with the relevant tasks for that workflow. In lieu of Admin, this serialization step will set the URN of the tasks to the fully qualified name of the task function.

union serialize [OPTIONS] COMMAND [ARGS]...

Options

-i, --image <image_config>#: A fully qualified tag for an docker image, for example somedocker.com/myimage:someversion123. This is a multi-option and can be of the form --image xyz.io/docker:latest --image my_image=xyz.io/docker2:latest. Note, the name=image_uri. The name is optional, if not provided the image will be used as the default image. All the names have to be unique, and thus there can only be one --image option with no name.

--local-source-root <local_source_root>#: Root dir for Python code containing workflow definitions to operate on when not the current working directory. Optional when running union serialize in out-of-container-mode and your code lies outside of your working directory.

--in-container-config-path <in_container_config_path>#: This is where the configuration for your task lives inside the container. The reason it needs to be a separate option is because this union utility cannot know where the Dockerfile writes the config file to. Required for running union serialize in out-of-container-mode

--in-container-virtualenv-root <in_container_virtualenv_root>#: DEPRECATED: This flag is ignored! This is the root of the flytekit virtual env in your container. The reason it needs to be a separate option is because this union utility cannot know where flytekit is installed inside your container. Required for running union serialize in out of container mode when your container installs the flytekit virtualenv outside of the default /opt/venv

--env, --envvars <env>#: Environment variables to set in the container, of the format ENV_NAME=ENV_VALUE

fast#

union serialize fast [OPTIONS] COMMAND [ARGS]...

workflows#

union serialize fast workflows [OPTIONS]

Options

--deref-symlinks#: Enables symlink dereferencing when packaging files in fast registration

-f, --folder <folder>#

workflows#

union serialize workflows [OPTIONS]

Options

-f, --folder <folder>#

serve#

Start the specific service.

union serve [OPTIONS] COMMAND [ARGS]...

agent#

Start a grpc server for the agent service.

union serve agent [OPTIONS]

Options

--port <port>#: Grpc port for the agent service

--worker <worker>#: Number of workers for the grpc server

--timeout <timeout>#: It will wait for the specified number of seconds before shutting down grpc server. It should only be used for testing.

update#

Update a resource.

union update [OPTIONS] COMMAND [ARGS]...

secret#

Update secret with NAME.

union update secret [OPTIONS] NAME

Options

--value <value>#: Secret value Mutually exclusive with value_file.

-f, --value-file <value_file>#: Path to file containing the secret Mutually exclusive with value.

--project <project>#: Project name

--domain <domain>#: Domain name

Arguments

NAME#: Required argument

union CLI#

Installation#

Configure the union CLI#

Overriding the configuration file location#

union CLI configuration search path#

union CLI commands#

union#

backfill#

build#

build.py#

build_async.py#

pygments.py#

create#

app#

login#

secret#

workspace#

workspace-config#

delete#

app#

login#

secret#

workspace#

execution#

recover#

relaunch#

fetch#

get#

app#

launchplan#

secret#

workspace#

info#

init#

launchplan#

local-cache#

clear#

metrics#

dump#

explain#

package#

register#

run#

build.py#

build_async.py#

pygments.py#

remote-launchplan#

remote-task#

remote-workflow#

serialize#

fast#

workflows#

workflows#

serve#

agent#

update#

secret#

Configure the `union` CLI#

`union` CLI configuration search path#

`union` CLI commands#