--- title: "Job SDK reference" description: "Customer-hosted cloud features" --- # Job SDK reference #### Customer-hosted cloud features :::note Some features are only available on customer-hosted clouds. Reach out to [support@anyscale.com](mailto:support@anyscale.com) for info. ::: ## Job SDK ### `anyscale.job.submit` Submit a job. Returns the id of the submitted job. **Arguments** - **`config` ([JobConfig](#jobconfig))**: The config options defining the job. **Returns**: str #### Examples ::::tabs :::tab[Python] ```python import anyscale from anyscale.job.models import JobConfig, ConnectionConfig, ConnectionType # Basic job submission anyscale.job.submit( JobConfig( name="my-job", entrypoint="python main.py", working_dir=".", ), ) # Job with Databricks connection for credential injection anyscale.job.submit( JobConfig( name="my-job-with-databricks", entrypoint="python main.py", working_dir=".", connections=[ ConnectionConfig( type=ConnectionType.DATABRICKS, name="my-databricks-connection", ) ], ), ) ``` ::: :::: ### `anyscale.job.status` Get the status of a job. **Arguments** - **`name` (str | None) = None**: Name of the job. - **`id` (str | None) = None**: Unique ID of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. **Returns**: [JobStatus](#jobstatus) #### Examples ::::tabs :::tab[Python] ```python import anyscale from anyscale.job.models import JobStatus status: JobStatus = anyscale.job.status(name="my-job") ``` ::: :::: ### `anyscale.job.terminate` Terminate a job. This command is asynchronous, so it always returns immediately. Returns the id of the terminated job. **Arguments** - **`name` (str | None) = None**: Name of the job. - **`id` (str | None) = None**: Unique ID of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. **Returns**: str #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.terminate(name="my-job") ``` ::: :::: ### `anyscale.job.archive` Archive a job. This command is asynchronous, so it always returns immediately. Returns the id of the archived job. **Arguments** - **`name` (str | None) = None**: Name of the job. - **`id` (str | None) = None**: Unique ID of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. **Returns**: str #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.archive(name="my-job") ``` ::: :::: ### `anyscale.job.delete` Delete a job and all associated job runs. The job must be in a terminal state (SUCCEEDED, FAILED). This action permanently removes the job and cannot be undone. Returns the id of the deleted job. **Arguments** - **`name` (str | None) = None**: Name of the job. - **`id` (str | None) = None**: Unique ID of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. **Returns**: str #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.delete(name="my-job") ``` ::: :::: ### `anyscale.job.get_logs` Get the logs for a job. **Arguments** - **`id` (str | None) = None**: Unique ID of the job - **`name` (str | None) = None**: Name of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`run` (str | None) = None**: The name of the run to query. Names can be found in the JobStatus. If not provided, the last job run will be used. - **`mode` (str | [JobLogMode](#joblogmode)) = TAIL**: The mode of log fetching to be used. Supported modes can be found in JobLogMode. If not provided, JobLogMode.TAIL will be used. - **`max_lines` (int | None) = None**: The number of log lines to be fetched. If not provided, the complete log will be fetched. - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. **Returns**: str #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.get_logs(name="my-job", run="job-run-name") ``` ::: :::: ### `anyscale.job.wait` Wait for a job to enter a specific state. **Arguments** - **`name` (str | None) = None**: Name of the job. - **`id` (str | None) = None**: Unique ID of the job - **`cloud` (str | None) = None**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None) = None**: Named project to use for the job. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`state` ([JobState](#jobstate) | str) = SUCCEEDED**: Target state of the job - **`timeout_s` (float) = 1800**: Number of seconds to wait before timing out, this timeout will not affect job execution - **`follow` (bool) = False**: Whether to follow the logs of the job. If True, the logs will be streamed to the console. - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using id. #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.wait(name="my-job", timeout_s=180) ``` ::: :::: ### `anyscale.job.list` List jobs with filtering and pagination. Returns a ResultIterator that lazily fetches pages of jobs. **Arguments** - **`name` (str | None) = None**: Filter by job name. - **`job_id` (str | None) = None**: Fetch a specific job by ID. - **`project` (str | None) = None**: Filter by project name. - **`cloud` (str | None) = None**: Filter by cloud name. - **`include_all_users` (bool) = False**: Include jobs from all users. - **`include_archived` (bool) = False**: Include archived jobs. - **`state_filter` (List\[[JobState](#jobstate) | str\] | None) = None**: Filter by job states (list of JobState or str). - **`tags_filter` (Dict\[str, List\[str\]\] | None) = None**: Filter by tags (dict of key to list of values). - **`page_size` (int | None) = None**: Number of items per page. - **`max_items` (int | None) = None**: Maximum total items to return. - **`sort_field` (str | None) = None**: Field to sort by (CREATED\_AT, NAME, STATUS, etc.). - **`sort_order` (str | None) = None**: Sort order (ASC or DESC). - **`created_at_from` (str | None) = None**: Filter for jobs created at or after this time (e.g. 2026-01-01T00:00:00Z). - **`created_at_to` (str | None) = None**: Filter for jobs created at or before this time (e.g. 2026-12-31T23:59:59Z). - **`updated_at_from` (str | None) = None**: Filter for jobs updated at or after this time (e.g. 2026-01-01T00:00:00Z). - **`updated_at_to` (str | None) = None**: Filter for jobs updated at or before this time (e.g. 2026-12-31T23:59:59Z). - **`status_updated_at_from` (str | None) = None**: Filter for jobs whose status was last updated at or after this time (e.g. 2026-01-01T00:00:00Z). - **`status_updated_at_to` (str | None) = None**: Filter for jobs whose status was last updated at or before this time (e.g. 2026-12-31T23:59:59Z). **Returns**: ResultIterator\[[JobStatus](#jobstatus)\] #### Examples ::::tabs :::tab[Python] ```python import anyscale from anyscale.job.models import JobStatus # List all jobs for job in anyscale.job.list(max_items=10): print(f"{job.name}: {job.state}") # Filter by project jobs = list(anyscale.job.list(project="my-project")) ``` ::: :::: ### `anyscale.job.add_tags` Upsert (add/update) tag key/value pairs for a job. **Arguments** - **`job_id` (str | None) = None**: ID of the job. Provide either job\_id or name. - **`name` (str | None) = None**: Name of the job. Provide either job\_id or name. - **`cloud` (str | None) = None**: Cloud name (used when resolving by name). - **`project` (str | None) = None**: Project name (used when resolving by name). - **`tags` (Dict\[str, str\])**: Key/value tags to upsert as a map {key: value}. - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using job\_id. #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.add_tags(job_id="job_123", tags={"team": "mlops", "env": "prod"}) ``` ::: :::: ### `anyscale.job.remove_tags` Remove tags by key from a job. **Arguments** - **`job_id` (str | None) = None**: ID of the job. Provide either job\_id or name. - **`name` (str | None) = None**: Name of the job. Provide either job\_id or name. - **`cloud` (str | None) = None**: Cloud name (used when resolving by name). - **`project` (str | None) = None**: Project name (used when resolving by name). - **`keys` (List\[str\])**: List of tag keys to remove. - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using job\_id. #### Examples ::::tabs :::tab[Python] ```python import anyscale anyscale.job.remove_tags(job_id="job_123", keys=["team", "env"]) ``` ::: :::: ### `anyscale.job.list_tags` List tags for a job as a key/value mapping. **Arguments** - **`job_id` (str | None) = None**: ID of the job. Provide either job\_id or name. - **`name` (str | None) = None**: Name of the job. Provide either job\_id or name. - **`cloud` (str | None) = None**: Cloud name (used when resolving by name). - **`project` (str | None) = None**: Project name (used when resolving by name). - **`include_archived` (bool) = False**: Include archived jobs when searching by name. Ignored when using job\_id. **Returns**: Dict\[str, str\] #### Examples ::::tabs :::tab[Python] ```python import anyscale tags: dict[str, str] = anyscale.job.list_tags(name="my-job") ``` ::: :::: ## Job models ### `JobQueueSpec` Options defining a job queue. When the first job with a given job queue spec is submitted, the job queue will be created. Subsequent jobs with the same job queue spec will reuse the queue instead of creating another one. Jobs can also target an existing queue using the name parameter. #### Fields - **`idle_timeout_s` (int)**: Timeout that the job queue cluster will be kept running while no jobs are running. - **`name` (str | None)**: Name of the job queue that can be used to target it when submitting future jobs. The name of a job queue must be unique within a project. - **`execution_mode` ([JobQueueExecutionMode](#jobqueueexecutionmode))**: Execution mode of the jobs submitted into the queue (one of: FIFO,LIFO,PRIORITY). - **`compute_config` (str | None)**: The name of an existing compute config that will be used to create the job queue cluster. If not specified, the compute config of the associated job will be used. - **`max_concurrency` (int)**: Max number of jobs that can run concurrently. Defaults to 1, meaning only one job can run at a given time. - **`auto_termination_threshold_job_count` (int | None)**: Maximum number of jobs the cluster can run before it becomes eligible for termination #### Python Methods ```python def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[YAML] ```yaml job_queue_spec: # Unique name that can be used to target this queue by other jobs. name: my-job-queue execution_mode: FIFO # Name of a compute config that will be used to create a cluster to execute jobs in this queue. # Must match the compute config of the job if specified. compute_config: my-compute-config:1 max_concurrency: 5 idle_timeout_s: 3600 ``` ::: :::tab[Python] ```python import anyscale from anyscale.job.models import JobQueueSpec, JobQueueExecutionMode job_queue_spec = JobQueueSpec( # Unique name that can be used to target this queue by other jobs. name="my-job-queue", execution_mode=JobQueueExecutionMode.FIFO, # Name of a compute config that will be used to create a cluster to execute jobs in this queue. # Must match the compute config of the job if specified. compute_config="my-compute-config:1", max_concurrency=5, idle_timeout_s=3600, ) ``` ::: :::: ### `JobQueueConfig` Configuration options for a job related to using a job queue for scheduling and execution. #### Fields - **`priority` (int | None)**: Job's relative priority (only relevant for Job Queues of type PRIORITY). Valid values range from 0 (highest) to +inf (lowest). Default value is None - **`target_job_queue_name` (str | None)**: The name of an existing job queue to schedule this job in. If this is provided, job\_queue\_spec cannot be. - **`job_queue_spec` ([JobQueueSpec](#jobqueuespec) | None)**: Configuration options defining a job queue to be created for the job if needed. If this is provided, target\_job\_queue\_name cannot be. #### Python Methods ```python def __init__(self, **fields) -> JobQueueConfig """Construct a model with the provided field values set.""" def options(self, **fields) -> JobQueueConfig """Return a copy of the model with the provided field values overwritten.""" def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[YAML] ```yaml # An example configuration that creates a job queue if one does not exist with the provided options. job_queue_config: # Priority of the job (only relevant if the execution_mode is "PRIORITY"). priority: 100 # Specification of the target Job Queue (will be created if does not exist) job_queue_spec: name: my-job-queue compute_config: my-compute-config:1 idle_timeout_s: 3600 # An example config that targets an existing job queue by name. job_queue_config: # Priority of the job (only relevant if the execution_mode is "PRIORITY"). priority: 100 # Name for the job queue this job should be added to (specified in `JobQueueSpec.name` # on queue's creation) target_job_queue_name: my-new-queue ``` ::: :::tab[Python] ```python import anyscale from anyscale.job.models import JobQueueConfig # An example configuration that creates a job queue if one does not exist with the provided options. job_queue_config = JobQueueConfig( # Priority of the job (only relevant if the execution_mode is "PRIORITY"). priority=100, # Specification of the target Job Queue (will be created if does not exist) job_queue_spec=JobQueueSpec( name="my-job-queue", compute_config="my-compute-config:1", idle_timeout_s=3600, ), ) # An example config that targets an existing job queue by name. job_queue_config = JobQueueConfig( # Job's priority (only relevant for priority queues) priority=100, # Name for the job queue this job should be added to (specified in `JobQueueSpec.name` # on queue's creation) target_job_queue_name="my-new-queue" ) ``` ::: :::: ### `JobQueueExecutionMode` Execution mode for job queues. #### Values - **`FIFO`**: Executes jobs in chronological order ('first in, first out') - **`LIFO`**: Executes jobs in reversed chronological order ('last in, first out') - **`PRIORITY`**: Executes jobs in the order induced by ordering their priorities in ascending order, with 0 being the highest priority ### `JobConfig` Configuration options for a job. #### Fields - **`name` (str | None)**: Name of the job. Multiple jobs can be submitted with the same name. - **`image_uri` (str | None)**: URI of an existing image. Exclusive with `containerfile`. - **`containerfile` (str | None)**: The file path to a containerfile that will be built into an image before running the workload. Exclusive with `image_uri`. - **`compute_config` ([ComputeConfig](/reference/sdk/compute-config.md#computeconfig) | [MultiResourceComputeConfig](/reference/sdk/compute-config.md#multiresourcecomputeconfig) | Dict | str | None)**: The name of an existing registered compute config or an inlined ComputeConfig or MultiResourceComputeConfig object. - **`working_dir` (str | None)**: Directory that will be used as the working directory for the application. If a local directory is provided, it will be uploaded to cloud storage automatically. When running inside a workspace, this defaults to the current working directory ('.'). - **`excludes` (List\[str\] | None)**: A list of file path globs that will be excluded when uploading local files for `working_dir`. - **`requirements` (str | List\[str\] | None)**: A list of pip requirements or a path to a `requirements.txt` file for the workload. Anyscale installs these dependencies on top of the image. If you run a workload from a workspace, the default is to use the workspace dependencies, but specifying this option overrides them. - **`env_vars` (Dict\[str, str\] | None)**: A dictionary of environment variables that will be set for the workload. - **`py_modules` (List\[str\] | None)**: A list of local directories or remote URIs that will be uploaded and added to the Python path. - **`py_executable` (str | None)**: Specifies the executable used for running the Ray workers. It can include arguments as well. - **`cloud` (str | None)**: The Anyscale Cloud to run this workload on. If not provided, the organization default will be used (or, if running in a workspace, the cloud of the workspace). - **`project` (str | None)**: The project for the workload. If not provided, the default project for the cloud will be used (or, if running in a workspace, the project of the workspace). - **`registry_login_secret` (str | None)**: A name or identifier of the secret containing credentials to authenticate to the docker registry hosting the image. This can only be used when 'image\_uri' is specified and the image is not hosted on Anyscale. - **`ray_version` (str | None)**: The Ray version (X.Y.Z) specified for this image specified by either an image URI or a containerfile. If you don't specify a Ray version, Anyscale defaults to the latest Ray version available at the time of the Anyscale CLI/SDK release. - **`connections` (List\[[ConnectionConfig](#connectionconfig) | Dict\] | None)**: Connections to third-party integrations (e.g., Databricks) to associate with the workload. This feature is in beta preview. Contact [Anyscale support](mailto:support@anyscale.com) to request enablement. - **`entrypoint` (str)**: Command that will be run to execute the job, e.g., `python main.py`. - **`max_retries` (int | None)**: Maximum number of times the job will be retried before being marked failed. Defaults to `1`. - **`job_queue_config` ([JobQueueConfig](#jobqueueconfig) | None)**: Job's configuration related to scheduling & execution using job queues - **`timeout_s` (int | None)**: The timeout in seconds for each job run. Set to None for no limit to be set. - **`tags` (Dict\[str, str\] | None)**: Tags to associate with the job. #### Python Methods ```python def __init__(self, **fields) -> JobConfig """Construct a model with the provided field values set.""" def options(self, **fields) -> JobConfig """Return a copy of the model with the provided field values overwritten.""" def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[YAML] ```yaml name: my-job entrypoint: python main.py image_uri: anyscale/image/my-image:1 # (Optional) Exclusive with `containerfile`. containerfile: /path/to/Dockerfile # (Optional) Exclusive with `image_uri`. compute_config: my-compute-config:1 # (Optional) An inline dictionary can also be provided. working_dir: /path/to/working_dir # (Optional) Defaults to `.`. excludes: # (Optional) List of files to exclude from being packaged up for the job. - .git - .env - .DS_Store - __pycache__ requirements: # (Optional) List of requirements files to install. Can also be a path to a requirements.txt. - emoji==1.2.0 - numpy==1.19.5 env_vars: # (Optional) Dictionary of environment variables to set in the job. MY_ENV_VAR: my_value ANOTHER_ENV_VAR: another_value py_modules: # (Optional) A list of local directories or remote URIs that will be added to the Python path. - /path/to/my_module - s3://my_bucket/my_module cloud: anyscale-prod # (Optional) The name of the Anyscale Cloud. project: my-project # (Optional) The name of the Anyscale Project. max_retries: 3 # (Optional) Maximum number of times the job will be retried before being marked failed. Defaults to `1`. tags: team: mlops purpose: training connections: # (Optional) List of third-party connections for credential injection. - type: databricks name: my-databricks-connection ``` ::: :::tab[Python] ```python from anyscale.job.models import JobConfig config = JobConfig( name="my-job", entrypoint="python main.py", max_retries=1, # An inline `ComputeConfig` or `MultiResourceComputeConfig` can also be provided. compute_config="my-compute-config:1", # A containerfile path can also be provided. image_uri="anyscale/image/my-image:1", ) ``` ::: :::: ### `ConnectionConfig` Configuration for a third-party connection. Connections allow workloads (jobs, workspaces, etc.) to access external services like Databricks Unity Catalog. Each connection is identified by its type and name. This feature is in beta preview. Contact [Anyscale support](mailto:support@anyscale.com) to request enablement. #### Fields - **`type` ([ConnectionType](#connectiontype))**: The type of connection (e.g., DATABRICKS). - **`name` (str)**: The name of the connection as registered in the organization settings. #### Python Methods ```python def __init__(self, **fields) -> ConnectionConfig """Construct a model with the provided field values set.""" def options(self, **fields) -> ConnectionConfig """Return a copy of the model with the provided field values overwritten.""" def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[YAML] ```yaml connections: - type: databricks name: my-databricks-connection ``` ::: :::tab[Python] ```python from anyscale._private.models.integrations import ConnectionConfig, ConnectionType connection = ConnectionConfig( type=ConnectionType.DATABRICKS, name="my-databricks-connection", ) ``` ::: :::: ### `ConnectionType` Type of third-party connection. #### Values - **`DATABRICKS`**: Databricks connection for Unity Catalog access ### `JobState` Current state of a job. #### Values - **`STARTING`**: The job is being started and is not yet running. - **`RUNNING`**: The job is running. A job will have state RUNNING if a job run fails and there are remaining retries. - **`FAILED`**: The job did not finish running or the entrypoint returned an exit code other than 0 after retrying up to max\_retries times. - **`SUCCEEDED`**: The job finished running and its entrypoint returned exit code 0. - **`TERMINATED`**: The job was terminated before completion. - **`UNKNOWN`**: The CLI/SDK received an unexpected state from the API server. In most cases, this means you need to update the CLI. ### `JobStatus` Current status of a job. #### Fields - **`id` (str)**: Unique ID of the job (generated when the job is first submitted). - **`name` (str)**: Name of the job. Multiple jobs can be submitted with the same name. - **`state` (str | [JobState](#jobstate))**: Current state of the job. - **`config` ([JobConfig](#jobconfig))**: Configuration of the job. - **`runs` (List\[[JobRunStatus](#jobrunstatus)\])**: List of job run states. - **`creator_id` (str)**: ID of the user who created the job. - **`created_at` (datetime | None)**: Timestamp when the job was created. - **`updated_at` (datetime | None)**: Timestamp when the job was last updated. - **`status_updated_at` (datetime | None)**: Timestamp when the job's status was last updated. #### Python Methods ```python def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[Python] ```python import anyscale from anyscale.job.models import JobStatus status: JobStatus = anyscale.job.status(name="my-job") ``` ::: :::tab[CLI] ```bash $ anyscale job status -n my-job id: prodjob_3suiybn8r7dhz92yv63jqzm473 name: my-job state: STARTING ``` ::: :::: ### `JobRunStatus` Current status of an individual job run. #### Fields - **`name` (str)**: Name of the job run. - **`state` (str | [JobRunState](#jobrunstate))**: Current state of the job run. #### Python Methods ```python def to_dict(self) -> Dict[str, Any] """Return a dictionary representation of the model.""" ``` #### Examples ::::tabs :::tab[Python] ```python import anyscale from anyscale.job.models import JobRunStatus run_statuses: List[JobRunStatus] = anyscale.job.status(name="my-job").runs ``` ::: :::tab[CLI] ```bash $ anyscale job status -n my-job id: prodjob_6ntzknwk1i9b1uw1zk1gp9dbhe name: my-job state: STARTING runs: - name: raysubmit_ynxBVGT1SmzndiXL state: SUCCEEDED ``` ::: :::: ### `JobRunState` Current state of an individual job run. #### Values - **`STARTING`**: The job run is being started and is not yet running. - **`RUNNING`**: The job run is running. - **`FAILED`**: The job run did not finish running or the entrypoint returned an exit code other than 0. - **`SUCCEEDED`**: The job run finished running and its entrypoint returned exit code 0. - **`UNKNOWN`**: The CLI/SDK received an unexpected state from the API server. In most cases, this means you need to update the CLI. ### `JobLogMode` Mode to use for getting job logs. #### Values - **`HEAD`**: Fetch logs from the start of the job's log. - **`TAIL`**: Fetch logs from the end of the job's log. ### `JobSortField` Fields available for sorting jobs. #### Values - **`STATUS`**: Sort by job status. - **`CREATED_AT`**: Sort by creation timestamp. - **`LAST_UPDATED_AT`**: Sort by last update timestamp. - **`LAST_STATUS_UPDATED_AT`**: Sort by last status update timestamp. - **`ENDED_AT`**: Sort by end timestamp. - **`NAME`**: Sort by job name. - **`ID`**: Sort by job ID. ### `JobSortOrder` Enum for sort order directions. #### Values - **`ASC`**: Sort in ascending order. - **`DESC`**: Sort in descending order. --- Previous: [Job queue](/reference/sdk/job-queue.md) | Next: [Organization invitation](/reference/sdk/organization-invitation.md)