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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
type=positive_int(allow_zero=True),
    help="The number of recent jobs that will be checked. To disable limit, set 0. ",
)
ARG_ALLOW_MULTIPLE = Arg(
    ("--allow-multiple",),
    action='store_true',
    help="If passed, this command will be successful even if multiple matching alive jobs are found.",
)
# sync-perm
ARG_INCLUDE_DAGS = Arg(
    ("--include-dags",), help="If passed, DAG specific permissions will also be synced.", action="store_true"
)
ALTERNATIVE_CONN_SPECS_ARGS = [
    ARG_CONN_TYPE,
    ARG_CONN_DESCRIPTION,
    ARG_CONN_HOST,
    ARG_CONN_LOGIN,
    ARG_CONN_PASSWORD,
    ARG_CONN_SCHEMA,
    ARG_CONN_PORT,
]
class ActionCommand(NamedTuple):
    """Single CLI command"""
    name: str
    help: str
    func: Callable
    args: Iterable[Arg]
    description: Optional[str] = None
    epilog: Optional[str] = None
class GroupCommand(NamedTuple):