[codex] Make Lepton dependency optional

docs/index.md

@@ -34,10 +34,10 @@ To install Skypilot with optional features, use one of the following commands:
 
 You can also manually install Skypilot from https://skypilot.readthedocs.io/en/latest/getting-started/installation.html
 
-If using DGX Cloud Lepton, use the following command to install the Lepton CLI:
+If using DGX Cloud Lepton, install NeMo Run with the Lepton extra:
 
 ```bash
-pip install leptonai
+pip install "nemo_run[lepton]"
 ```
 
 To authenticate with the DGX Cloud Lepton cluster, navigate to the **Settings > Tokens** page in the DGX Cloud Lepton UI and copy the ``lep login`` command shown on the page and run it in the terminal.

nemo_run/core/execution/lepton.py

@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from __future__ import annotations
+
 import base64
 import logging
 import os
@@ -22,36 +24,67 @@
 import time
 from dataclasses import dataclass, field
 from datetime import datetime
+from enum import Enum
 from pathlib import Path
 from typing import Any, List, Optional, Set, Type
 
 from invoke.context import Context
-from leptonai.api.v2.client import APIClient
-from leptonai.api.v1.types.affinity import LeptonResourceAffinity
-from leptonai.api.v1.types.common import Metadata, LeptonVisibility
-from leptonai.api.v1.types.dedicated_node_group import DedicatedNodeGroup
-from leptonai.api.v1.types.deployment import (
-    EnvVar,
-    EnvValue,
-    LeptonContainer,
-    Mount,
-)
-from leptonai.api.v1.types.job import (
-    LeptonJob,
-    LeptonJobState,
-    LeptonJobUserSpec,
-    ReservationConfig,
-)
-from leptonai.api.v1.types.replica import Replica
 
 from nemo_run.config import get_nemorun_home
 from nemo_run.core.execution.base import Executor, ExecutorMacros
 from nemo_run.core.packaging.base import Packager
 from nemo_run.core.packaging.git import GitArchivePackager
 
+_LEPTON_IMPORT_ERROR: ImportError | None = None
+_LEPTON_AVAILABLE = False
+
+try:
+    from leptonai.api.v1.types.affinity import LeptonResourceAffinity
+    from leptonai.api.v1.types.common import LeptonVisibility, Metadata
+    from leptonai.api.v1.types.dedicated_node_group import DedicatedNodeGroup
+    from leptonai.api.v1.types.deployment import (
+        EnvVar,
+        EnvValue,
+        LeptonContainer,
+        Mount,
+    )
+    from leptonai.api.v1.types.job import (
+        LeptonJob,
+        LeptonJobState,
+        LeptonJobUserSpec,
+        ReservationConfig,
+    )
+    from leptonai.api.v1.types.replica import Replica
+    from leptonai.api.v2.client import APIClient
+
+    _LEPTON_AVAILABLE = True
+except ImportError as e:
+    _LEPTON_IMPORT_ERROR = e
+
+    class LeptonJobState(Enum):
+        Starting = "Starting"
+        Running = "Running"
+        Failed = "Failed"
+        Completed = "Completed"
+        Deleting = "Deleting"
+        Restarting = "Restarting"
+        Archived = "Archived"
+        Stopped = "Stopped"
+        Stopping = "Stopping"
+        Unknown = "Unknown"
+
+
 logger = logging.getLogger(__name__)
 
 
+def _require_leptonai() -> None:
+    if not _LEPTON_AVAILABLE:
+        raise ImportError(
+            "leptonai package is required for LeptonExecutor. "
+            'Install it with: pip install "nemo_run[lepton]"'
+        ) from _LEPTON_IMPORT_ERROR
+
+
 @dataclass(kw_only=True)
 class LeptonExecutor(Executor):
     """
@@ -84,6 +117,9 @@ class LeptonExecutor(Executor):
     head_resource_shape: Optional[str] = ""  # Only used for LeptonRayCluster
     ray_version: Optional[str] = None  # Only used for LeptonRayCluster
 
+    def __post_init__(self) -> None:
+        _require_leptonai()
+
     def stop_job(self, job_id: str):
         """
         Send a stop signal to the requested job
@@ -376,6 +412,7 @@ def cancel(self, job_id: str):
 
     @classmethod
     def logs(cls: Type["LeptonExecutor"], app_id: str, fallback_path: Optional[str]):
+        _require_leptonai()
         client = APIClient()
 
         # Get the first replica from the job which contains the job logs

nemo_run/run/ray/lepton.py

@@ -13,33 +13,45 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from __future__ import annotations
+
 import asyncio
 import json
 import logging
 import sys
 import time
-import urllib3
 import warnings
 from dataclasses import dataclass
-from ray.job_submission import JobSubmissionClient
-from rich.pretty import pretty_repr
 from typing import Any, Optional, TypeAlias
 
-from leptonai.api.v1.types.affinity import LeptonResourceAffinity
-from leptonai.api.v1.types.dedicated_node_group import DedicatedNodeGroup
-from leptonai.api.v1.types.deployment import EnvVar, EnvValue
-
-from nemo_run.core.execution.lepton import LeptonExecutor
+import urllib3
+from rich.pretty import pretty_repr
 
-from leptonai.api.v2.client import APIClient
-from leptonai.api.v1.types.raycluster import (
-    LeptonRayCluster as LeptonRayClusterSpec,
-    LeptonRayClusterUserSpec,
-    Metadata,
-    RayHeadGroupSpec,
-    RayWorkerGroupSpec,
-)
-from leptonai.cli.raycluster import DEFAULT_RAY_IMAGE
+from nemo_run.core.execution.lepton import LeptonExecutor, _LEPTON_AVAILABLE, _require_leptonai
+
+_RAY_IMPORT_ERROR: ImportError | None = None
+_RAY_AVAILABLE = False
+try:
+    from ray.job_submission import JobSubmissionClient
+
+    _RAY_AVAILABLE = True
+except ImportError as e:
+    _RAY_IMPORT_ERROR = e
+    JobSubmissionClient = None
+
+if _LEPTON_AVAILABLE:
+    from leptonai.api.v1.types.affinity import LeptonResourceAffinity
+    from leptonai.api.v1.types.dedicated_node_group import DedicatedNodeGroup
+    from leptonai.api.v1.types.deployment import EnvVar, EnvValue
+    from leptonai.api.v1.types.raycluster import (
+        LeptonRayCluster as LeptonRayClusterSpec,
+        LeptonRayClusterUserSpec,
+        Metadata,
+        RayHeadGroupSpec,
+        RayWorkerGroupSpec,
+    )
+    from leptonai.api.v2.client import APIClient
+    from leptonai.cli.raycluster import DEFAULT_RAY_IMAGE
 
 noquote: TypeAlias = str
 
@@ -49,6 +61,19 @@
 RAY_NOT_READY_STATE = "Not Ready"
 
 
+def _require_ray() -> None:
+    if not _RAY_AVAILABLE:
+        raise ImportError(
+            "ray is required for Lepton Ray helpers. "
+            'Install it with: pip install "nemo_run[lepton]"'
+        ) from _RAY_IMPORT_ERROR
+
+
+def _require_lepton_ray() -> None:
+    _require_leptonai()
+    _require_ray()
+
+
 @dataclass(kw_only=True)
 class LeptonRayCluster:
     EXECUTOR_CLS = LeptonExecutor
@@ -57,6 +82,7 @@ class LeptonRayCluster:
     executor: LeptonExecutor
 
     def __post_init__(self):
+        _require_lepton_ray()
         self.cluster_map: dict[str, str] = {}
 
     def _node_group_id(self, client: APIClient) -> DedicatedNodeGroup:
@@ -374,6 +400,7 @@ class LeptonRayJob:
     # Internals
     # ---------------------------------------------------------------------
     def __post_init__(self):
+        _require_lepton_ray()
         self.submission_id = None
 
     def _get_last_submission_id(self) -> Optional[int]:

nemo_run/run/torchx_backend/schedulers/lepton.py

@@ -24,13 +24,12 @@
 
 import fiddle as fdl
 import fiddle._src.experimental.dataclasses as fdl_dc
-from leptonai.api.v1.types.job import LeptonJobState
 from torchx.schedulers.api import AppDryRunInfo, DescribeAppResponse, ListAppResponse, Scheduler
 from torchx.specs import AppDef, AppState, ReplicaStatus, Role, RoleStatus, runopts
 
 from nemo_run.config import get_nemorun_home
 from nemo_run.core.execution.base import Executor
-from nemo_run.core.execution.lepton import LeptonExecutor
+from nemo_run.core.execution.lepton import LeptonExecutor, LeptonJobState, _require_leptonai
 from nemo_run.core.serialization.zlib_json import ZlibJSONSerializer
 from nemo_run.run.torchx_backend.schedulers.api import SchedulerMixin
 
@@ -70,6 +69,7 @@ class LeptonRequest:
 class LeptonScheduler(SchedulerMixin, Scheduler[dict[str, str]]):  # type: ignore
     def __init__(self, session_name: str) -> None:
         super().__init__("lepton", session_name)
+        _require_leptonai()
 
     def _run_opts(self) -> runopts:
         opts = runopts()
@@ -86,9 +86,8 @@ def _submit_dryrun(  # type: ignore
         app: AppDef,
         cfg: Executor,
     ) -> AppDryRunInfo[LeptonRequest]:
-        assert isinstance(cfg, LeptonExecutor), (
-            f"{cfg.__class__} not supported for Lepton scheduler."
-        )
+        if not isinstance(cfg, LeptonExecutor):
+            raise AssertionError(f"{cfg.__class__} not supported for Lepton scheduler.")
         executor = cfg
 
         assert len(app.roles) == 1, "Only single-role apps are supported."

pyproject.toml

@@ -29,7 +29,6 @@ dependencies = [
     "jinja2>=3.1.4",
     "networkx >= 3.3",
     "omegaconf>=2.3.0",
-    "leptonai>=0.26.6",
     "toml",
 ]
 readme = "README.md"
@@ -50,6 +49,9 @@ skypilot_jobs = "nemo_run.run.torchx_backend.schedulers.skypilot_jobs:create_sch
 kubeflow = "nemo_run.run.torchx_backend.schedulers.kubeflow:create_scheduler"
 
 [project.optional-dependencies]
+lepton = [
+    "leptonai>=0.26.6",
+]
 skypilot = [
     "skypilot[kubernetes]>=0.10.0",
 ]

test/core/execution/test_lepton.py

@@ -19,18 +19,21 @@
 from unittest.mock import MagicMock, mock_open, patch
 
 import pytest
-from leptonai.api.v1.types.common import LeptonVisibility, Metadata
-from leptonai.api.v1.types.deployment import (
+
+pytest.importorskip("leptonai")
+
+from leptonai.api.v1.types.common import LeptonVisibility, Metadata  # noqa: E402
+from leptonai.api.v1.types.deployment import (  # noqa: E402
     LeptonContainer,
     LeptonResourceAffinity,
     Mount,
     EnvVar,
     EnvValue,
 )
-from leptonai.api.v1.types.job import LeptonJob, LeptonJobUserSpec
+from leptonai.api.v1.types.job import LeptonJob, LeptonJobUserSpec  # noqa: E402
 
-from nemo_run.core.execution.lepton import LeptonExecutor, LeptonJobState
-from nemo_run.core.packaging.git import GitArchivePackager
+from nemo_run.core.execution.lepton import LeptonExecutor, LeptonJobState  # noqa: E402
+from nemo_run.core.packaging.git import GitArchivePackager  # noqa: E402
 
 
 class MockLeptonJob:

test/core/execution/test_lepton_optional_dependency.py

@@ -0,0 +1,93 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import subprocess
+import sys
+import textwrap
+from pathlib import Path
+
+
+REPO_ROOT = Path(__file__).parents[3]
+
+
+def _run_with_blocked_leptonai(code: str) -> subprocess.CompletedProcess[str]:
+    blocker = """
+import importlib.abc
+import sys
+
+
+class BlockLeptonai(importlib.abc.MetaPathFinder):
+    def find_spec(self, fullname, path=None, target=None):
+        if fullname == "leptonai" or fullname.startswith("leptonai."):
+            raise ModuleNotFoundError("No module named 'leptonai'")
+        return None
+
+
+sys.meta_path.insert(0, BlockLeptonai())
+"""
+    script = blocker + "\n" + textwrap.dedent(code)
+    return subprocess.run(
+        [sys.executable, "-c", script],
+        cwd=REPO_ROOT,
+        text=True,
+        capture_output=True,
+        check=False,
+    )
+
+
+def test_nemo_run_import_without_leptonai() -> None:
+    result = _run_with_blocked_leptonai(
+        """
+        import sys
+
+        import nemo_run as run
+        from nemo_run import LeptonExecutor as PublicLeptonExecutor
+        from nemo_run.core.execution import LeptonExecutor as ExecutionLeptonExecutor
+
+        assert run.LocalExecutor.__name__ == "LocalExecutor"
+        assert run.LeptonExecutor.__name__ == "LeptonExecutor"
+        assert PublicLeptonExecutor is run.LeptonExecutor
+        assert ExecutionLeptonExecutor is run.LeptonExecutor
+        assert "leptonai" not in sys.modules
+
+        try:
+            run.LeptonExecutor(container_image="image", nemo_run_dir="/nemo")
+        except ImportError as e:
+            assert "nemo_run[lepton]" in str(e)
+        else:
+            raise AssertionError("LeptonExecutor should require the lepton extra")
+        """
+    )
+
+    assert result.returncode == 0, result.stderr
+
+
+def test_scheduler_and_ray_modules_import_without_leptonai() -> None:
+    result = _run_with_blocked_leptonai(
+        """
+        import sys
+
+        from nemo_run.core.execution.lepton import LeptonExecutor
+        from nemo_run.run.torchx_backend.schedulers.api import REVERSE_EXECUTOR_MAPPING
+        import nemo_run.run.ray.cluster
+        import nemo_run.run.ray.job
+        import nemo_run.run.ray.lepton
+
+        assert REVERSE_EXECUTOR_MAPPING["lepton"] is LeptonExecutor
+        assert "leptonai" not in sys.modules
+        """
+    )
+
+    assert result.returncode == 0, result.stderr