Extending the CLI#
LMCache’s CLI is built on a plugin-style architecture that supports N-level nested subcommands with zero-registration auto-discovery. This guide explains how to add commands at each level.
Architecture Overview#
The CLI framework is composed of two core classes in
lmcache/cli/commands/base.py:
BaseCommand — Abstract base class for leaf commands (commands that perform actual work).
CompositeCommand — A
BaseCommandsubclass for commands that only group sub-subcommands. It auto-discovers child commands by scanning the package where it is defined.
The discovery mechanism uses pkgutil.iter_modules to scan direct
submodules of a package, then collects all concrete BaseCommand
subclasses found in those modules. This means:
Each command is a separate
.pyfile (or a sub-package with an__init__.py).No manual registration is needed — just create the file and it is picked up automatically.
Utility/helper modules should be prefixed with
_(e.g._helpers.py) so they are excluded from the scan.
Auto-Discovery Mechanism#
The CLI uses a unified discover_subclasses() utility (defined in
lmcache/v1/utils/subclass_discovery.py) to locate command classes at
every level. Understanding the two discovery entry points is key to
extending the CLI.
Top-Level Command Discovery#
When the CLI starts, lmcache/cli/commands/__init__.py calls
discover_subclasses() on its own package (lmcache.cli.commands).
This scans all direct submodules — both .py files and
sub-packages (via their __init__.py) — and collects every concrete
BaseCommand subclass found.
# Simplified from lmcache/cli/commands/__init__.py
from lmcache.v1.utils.subclass_discovery import discover_subclasses
ALL_COMMANDS = [
cls()
for cls in discover_subclasses(
__name__, # "lmcache.cli.commands"
BaseCommand,
module_filter=lambda name: name != "base", # skip base.py itself
)
]
The resulting ALL_COMMANDS list is then registered with the root
argparse parser in main.py. This means any new .py file (or
sub-package) placed under lmcache/cli/commands/ is automatically
available as a top-level command — no manual imports or registration
needed.
Filtering rules for top-level discovery:
The module named
baseis explicitly excluded (it defines the abstract base classes, not a command).Modules whose name starts with
_are excluded by the underlyingpkgutil.iter_modulesconvention (they are treated as private).Only concrete subclasses are collected — abstract classes are skipped.
Only classes defined in the scanned module are collected (re-exports are ignored via
require_defined_in_module=True).
Sub-Command Discovery (CompositeCommand)#
When a CompositeCommand registers itself with the parser, its
register() method calls discover_subclasses() on the package
where the CompositeCommand subclass is defined (i.e. its own
__init__.py’s package).
# Simplified from CompositeCommand.register() in base.py
package = self.__class__.__module__ # e.g. "lmcache.cli.commands.bench"
for cls in discover_subclasses(
package,
BaseCommand,
module_filter=lambda name: not name.startswith("_"),
require_defined_in_module=True,
):
if cls is self.__class__:
continue # skip the CompositeCommand itself
inst = cls()
inst.register(inner) # register as a nested subcommand
Filtering rules for sub-command discovery:
Modules starting with
_are excluded (use this prefix for helper files like_utils.py).The
CompositeCommandclass itself is skipped to avoid infinite recursion.Only concrete
BaseCommandsubclasses defined in the scanned module are collected.The scan is non-recursive (depth 1 only) — each
CompositeCommandonly sees its own package’s direct children.
How nesting works: If a child is itself a CompositeCommand
(defined in a sub-package’s __init__.py), its own register()
method will in turn scan its package for further children. This
creates the recursive nesting without any special configuration.
CLI startup
└── __init__.py discovers ALL top-level commands
├── ping.py → PingCommand (leaf)
├── bench/__init__.py → BenchCommand (composite)
│ └── BenchCommand.register() discovers:
│ ├── server_bench/__init__.py → ServerBenchCommand (leaf)
│ ├── l2_adapter_bench/__init__.py → L2AdapterBenchCommand (leaf)
│ └── engine_bench/__init__.py → EngineBenchCommand (leaf)
└── tool/__init__.py → ToolCommand (composite)
└── ToolCommand.register() discovers:
└── cache_simulator/__init__.py → CacheSimulatorCommand (composite)
└── CacheSimulatorCommand.register() discovers:
├── simulate_command.py → SimulateCommand (leaf)
├── sweep_command.py → SweepCommand (leaf)
└── gen_dataset_command.py → GenDatasetCommand (leaf)
Directory Layout#
lmcache/cli/commands/
├── __init__.py # Top-level discovery (scans this package)
├── base.py # BaseCommand & CompositeCommand
├── ping.py # Level-1 leaf command
├── server.py # Level-1 leaf command
├── quota/ # Level-2 composite command
│ ├── __init__.py # QuotaCommand(CompositeCommand)
│ ├── _helpers.py # Utility (excluded from scan by _ prefix)
│ ├── get_command.py # Level-2 leaf: ``lmcache quota get``
│ ├── set_command.py # Level-2 leaf: ``lmcache quota set``
│ └── ...
└── tool/ # Level-2 composite command
├── __init__.py # ToolCommand(CompositeCommand)
└── cache_simulator/ # Level-3 composite command
├── __init__.py # CacheSimulatorCommand(CompositeCommand)
├── simulate_command.py # Level-3 leaf: ``lmcache tool cache-simulator simulate``
└── sweep_command.py # Level-3 leaf: ``lmcache tool cache-simulator sweep``
Key Rules#
A
CompositeCommandsubclass must be defined in the__init__.pyof its package.Modules starting with
_are excluded from auto-discovery (use this for helpers, utilities, internal logic).Each leaf command file should contain exactly one concrete
BaseCommandsubclass.The scan is non-recursive — each
CompositeCommandonly scans its own package’s direct submodules.
Level 1: Adding a Top-Level Command#
A top-level command appears directly under lmcache <command>.
Step 1: Create a new file under lmcache/cli/commands/:
# lmcache/cli/commands/hello.py
"""``lmcache hello`` — a simple greeting command."""
import argparse
from lmcache.cli.commands.base import BaseCommand
class HelloCommand(BaseCommand):
"""Print a greeting message."""
def name(self) -> str:
return "hello"
def help(self) -> str:
return "Print a greeting message."
def add_arguments(self, parser: argparse.ArgumentParser) -> None:
parser.add_argument("--name", default="World", help="Who to greet.")
def execute(self, args: argparse.Namespace) -> None:
metrics = self.create_metrics("Hello", args)
metrics.add("greeting", "Greeting", f"Hello, {args.name}!")
metrics.emit()
Step 2: Done! The command is automatically discovered. Test it:
lmcache hello --name LMCache
Note
This works because the top-level lmcache/cli/commands/__init__.py
calls discover_subclasses on its own package at import time. It
uses pkgutil.iter_modules to find all direct submodules (files and
sub-packages), imports each one, and collects every concrete
BaseCommand subclass. The resulting list is stored in
ALL_COMMANDS and registered with the argument parser in
main.py. So adding a new .py file with a BaseCommand
subclass is all that is needed — no edits to any other file.
Level 2: Adding a Subcommand Group#
A subcommand group appears as lmcache <group> <subcommand>.
Step 1: Create a package directory:
mkdir lmcache/cli/commands/mygroup/
Step 2: Define the CompositeCommand in __init__.py:
# lmcache/cli/commands/mygroup/__init__.py
"""``lmcache mygroup`` command group.
Sub-subcommands are auto-discovered from modules in this package.
"""
from lmcache.cli.commands.base import CompositeCommand
class MyGroupCommand(CompositeCommand):
"""Command group for my custom operations."""
def name(self) -> str:
return "mygroup"
def help(self) -> str:
return "My custom command group."
Step 3: Add leaf subcommands as separate files:
# lmcache/cli/commands/mygroup/foo_command.py
"""``lmcache mygroup foo`` — do something."""
import argparse
from lmcache.cli.commands.base import BaseCommand
class FooCommand(BaseCommand):
"""Execute the foo action."""
def name(self) -> str:
return "foo"
def help(self) -> str:
return "Execute the foo action."
def add_arguments(self, parser: argparse.ArgumentParser) -> None:
parser.add_argument("--value", type=int, required=True)
def execute(self, args: argparse.Namespace) -> None:
metrics = self.create_metrics("Foo Result", args)
metrics.add("result", "Result", args.value * 2)
metrics.emit()
Step 4: (Optional) Add helper modules with _ prefix:
# lmcache/cli/commands/mygroup/_utils.py
"""Internal utilities for mygroup commands (not auto-discovered)."""
def compute_something(x: int) -> int:
return x * 42
Result:
lmcache mygroup foo --value 5
Level 2: Adding a Subcommand to an Existing Group#
If a CompositeCommand group already exists (e.g. bench, quota,
trace), you can extend it by simply adding one new file — no other
changes are required.
For example, to add a new lmcache bench l2 subcommand under the
existing bench group:
Step 1: Create a single file (or sub-package) in the existing group’s package directory:
# lmcache/cli/commands/bench/l2_adapter_bench/__init__.py
"""``lmcache bench l2`` subpackage."""
import argparse
from lmcache.cli.commands.base import BaseCommand
class L2AdapterBenchCommand(BaseCommand):
"""Benchmark an L2 adapter (store / lookup / load)."""
def name(self) -> str:
return "l2"
def help(self) -> str:
return "Benchmark an L2 adapter (store / lookup / load)."
def add_arguments(self, parser: argparse.ArgumentParser) -> None:
from lmcache.cli.commands.bench.l2_adapter_bench.command import (
add_l2_arguments,
)
add_l2_arguments(parser)
def execute(self, args: argparse.Namespace) -> None:
from lmcache.cli.commands.bench.l2_adapter_bench.command import (
run_l2_adapter_bench,
)
run_l2_adapter_bench(self, args)
Step 2: Done! The parent CompositeCommand (BenchCommand)
auto-discovers the new subcommand at startup. No registration code, no
imports to add, no __init__.py edits in the parent.
Note
This works because CompositeCommand.register() scans all direct
submodules of its package each time the CLI starts. A new file (or
sub-package) is automatically picked up as long as:
It does not start with
_.It contains a concrete
BaseCommandsubclass.
Level N: Arbitrary Nesting#
The framework supports unlimited nesting depth. Each level follows
the same pattern: a CompositeCommand in a package’s __init__.py
auto-discovers its children.
Example: Adding a 3rd level under lmcache mygroup:
mkdir lmcache/cli/commands/mygroup/nested/
# lmcache/cli/commands/mygroup/nested/__init__.py
"""``lmcache mygroup nested`` — a nested command group."""
from lmcache.cli.commands.base import CompositeCommand
class NestedCommand(CompositeCommand):
"""Nested subcommand group."""
def name(self) -> str:
return "nested"
def help(self) -> str:
return "A nested command group under mygroup."
# lmcache/cli/commands/mygroup/nested/bar_command.py
"""``lmcache mygroup nested bar`` — a deeply nested command."""
import argparse
from lmcache.cli.commands.base import BaseCommand
class BarCommand(BaseCommand):
"""Execute the bar action at level 3."""
def name(self) -> str:
return "bar"
def help(self) -> str:
return "Execute the bar action."
def add_arguments(self, parser: argparse.ArgumentParser) -> None:
parser.add_argument("--msg", default="deep")
def execute(self, args: argparse.Namespace) -> None:
metrics = self.create_metrics("Bar Result", args)
metrics.add("message", "Message", args.msg)
metrics.emit()
Result:
lmcache mygroup nested bar --msg "hello from level 3"
You can continue nesting indefinitely by repeating this pattern.
Real-World Example#
The existing lmcache tool cache-simulator simulate command
demonstrates 3-level nesting:
lmcache tool cache-simulator simulate
│ │ │ └── Level-3 leaf (SimulateCommand in simulate_command.py)
│ │ └── Level-2 composite (CacheSimulatorCommand in cache_simulator/__init__.py)
│ └── Level-1 composite (ToolCommand in tool/__init__.py)
└── CLI entry point
Using the Metrics System#
The metrics system uses a handler + formatter architecture:
Metrics — the collector. Holds sections and entries.
Handler — the destination (stdout, file, etc.).
Formatter — the rendering (ASCII table, JSON, etc.).
BaseCommand.create_metrics() sets up default handlers automatically, so
command authors just build metrics and call emit():
def execute(self, args: argparse.Namespace) -> None:
# create_metrics() auto-registers:
# - StreamHandler → stdout (formatter chosen by --format, default: terminal)
# - FileHandler → if --output is set (same format as --format)
metrics = self.create_metrics("Bench KV Cache Result", args)
# Create named sections
metrics.add_section("ops", "Operations (ops/s)")
metrics["ops"].add("store", "Store", 41.3)
metrics["ops"].add("retrieve", "Retrieve", 127.3)
# Top-level metrics (no section header)
metrics.add("status", "Status", "OK")
# Trigger all handlers
metrics.emit()
The --format and --output flags are added automatically by
BaseCommand.register() — subcommands do not need to add them manually.
Summary#
Level |
Pattern |
How to add |
|---|---|---|
1 (top) |
Single |
Create |
2+ |
Package directory |
Create |
N (any) |
Nested package |
Same as level 2, but inside an existing composite command’s
package. Each |
Tip
Prefix helper/utility modules with
_to exclude them from auto-discovery.Each
CompositeCommandmust be defined in its package’s__init__.py.The
name()method determines the CLI token (e.g."foo"becomeslmcache ... foo).