diff --git a/tests/integration/pip_parse/MODULE.bazel b/tests/integration/pip_parse/MODULE.bazel
index 4e5a2ca521..64a26eb553 100644
--- a/tests/integration/pip_parse/MODULE.bazel
+++ b/tests/integration/pip_parse/MODULE.bazel
@@ -5,11 +5,21 @@ local_path_override(
     module_name = "rules_python",
     path = "../../..",
 )
+bazel_dep(name = "platforms", version = "0.0.11")
 
-python = use_extension("@rules_python//python/extensions:python.bzl", "python")
-python.toolchain(
-    python_version = "3.9",
+uv = use_extension(
+    "@rules_python//python/uv:uv.bzl",
+    "uv",
+    # Use `dev_dependency` so that the toolchains are not defined pulled when your
+    # module is used elsewhere.
+    dev_dependency = True,
 )
+uv.configure(version = "0.9.5")
+
+python = use_extension("@rules_python//python/extensions:python.bzl", "python")
+python.toolchain(python_version = "3.9", is_default=True)
+python.toolchain(python_version = "3.10")
+python.toolchain(python_version = "3.13")
 
 pip = use_extension("@rules_python//python/extensions:pip.bzl", "pip")
 pip.parse(
@@ -17,4 +27,15 @@ pip.parse(
     python_version = "3.9",
     requirements_lock = "//empty:requirements.txt",
 )
-use_repo(pip, "pip_empty")
+
+pip.parse(
+    hub_name = "pip_torch",
+    python_version = "3.10",
+    requirements_lock = "//torch:requirements.txt",
+)
+pip.parse(
+    hub_name = "pip_torch",
+    python_version = "3.13",
+    requirements_lock = "//torch:requirements.txt",
+)
+use_repo(pip, "pip_empty", "pip_torch")
diff --git a/tests/integration/pip_parse/torch/BUILD.bazel b/tests/integration/pip_parse/torch/BUILD.bazel
new file mode 100644
index 0000000000..487a6606c9
--- /dev/null
+++ b/tests/integration/pip_parse/torch/BUILD.bazel
@@ -0,0 +1,32 @@
+load("@pip_torch//:requirements.bzl", "all_data_requirements", "all_requirements", "all_whl_requirements")
+load("@rules_python//python:py_test.bzl", "py_test")
+load("@rules_python//python/uv:lock.bzl", "lock")
+
+# Run bazel run //torch:requirements.update
+lock(
+    name = "requirements",
+    srcs = ["requirements.in"],
+    out = "requirements.txt",
+    args = [
+        "--emit-index-url",
+        "--universal",
+        "--upgrade",
+        "--extra-index-url=https://download.pytorch.org/whl/cpu",
+    ],
+    # NOTE @aignas 2025-08-17: here we select the lowest actively supported version so that the
+    # requirements file is generated to be compatible with Python version 3.9 or greater.
+    python_version = "3.10",
+    visibility = ["//:__subpackages__"],
+)
+
+py_test(
+    name = "test_empty",
+    srcs = ["test_empty.py"],
+    deps = ["@pip_torch//torch"],
+    python_version = "3.10",  # Use a non-default toolchain version
+    env = {
+        "REQUIREMENTS": ",".join(all_requirements),
+        "REQUIREMENTS_DATA": ",".join(all_data_requirements),
+        "REQUIREMENTS_WHL": ",".join(all_whl_requirements),
+    },
+)
diff --git a/tests/integration/pip_parse/torch/requirements.in b/tests/integration/pip_parse/torch/requirements.in
new file mode 100644
index 0000000000..12c6d5d5ea
--- /dev/null
+++ b/tests/integration/pip_parse/torch/requirements.in
@@ -0,0 +1 @@
+torch
diff --git a/tests/integration/pip_parse/torch/requirements.txt b/tests/integration/pip_parse/torch/requirements.txt
new file mode 100644
index 0000000000..043bbdb554
--- /dev/null
+++ b/tests/integration/pip_parse/torch/requirements.txt
@@ -0,0 +1,70 @@
+# This file was autogenerated by uv via the following command:
+#    bazel run //torch:requirements.update
+--index-url https://pypi.org/simple
+--extra-index-url https://download.pytorch.org/whl/cpu
+
+filelock==3.19.1 \
+    --hash=sha256:d38e30481def20772f5baf097c122c3babc4fcdb7e14e57049eb9d88c6dc017d
+    # via torch
+fsspec==2025.9.0 \
+    --hash=sha256:530dc2a2af60a414a832059574df4a6e10cce927f6f4a78209390fe38955cfb7
+    # via torch
+jinja2==3.1.6 \
+    --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67
+    # via torch
+markupsafe==3.0.2 \
+    --hash=sha256:15ab75ef81add55874e7ab7055e9c397312385bd9ced94920f2802310c930396
+    # via jinja2
+mpmath==1.3.0 \
+    --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+    # via sympy
+networkx==3.3 ; python_full_version < '3.12' \
+    --hash=sha256:28575580c6ebdaf4505b22c6256a2b9de86b316dc63ba9e93abde3d78dfdbcf2
+    # via torch
+networkx==3.5 ; python_full_version >= '3.12' \
+    --hash=sha256:0030d386a9a06dee3565298b4a734b68589749a544acbb6c412dc9e2489ec6ec
+    # via torch
+setuptools==70.2.0 ; python_full_version >= '3.12' \
+    --hash=sha256:b8b8060bb426838fbe942479c90296ce976249451118ef566a5a0b7d8b78fb05
+    # via torch
+sympy==1.14.0 \
+    --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5
+    # via torch
+torch==2.9.0 ; sys_platform == 'darwin' \
+    --hash=sha256:259548471194ab63d7ea273873053a6e3cc23530c1510f01e9d7ad259187bbd0 \
+    --hash=sha256:4de0ed8cbc457a506dbca40376e206a29efee10756a00f1f3404bf67ad737d04 \
+    --hash=sha256:59484193b01299bf669520505a72b29d59a0028ae4c6d95f492938f186592208 \
+    --hash=sha256:a3e859039c985d8e3ea60d7a54ca7e97ea2ae15e31beced4f3260128a161bb01 \
+    --hash=sha256:aa4483602586cc9a35d1cf33771a9977f05f642b9161518a289e36548a0b77c2 \
+    --hash=sha256:d8e2ab7f86010330bdcc39c8b2c795590cc75e37df4823cdaee2c98d6e3ff4a3 \
+    --hash=sha256:e24836d968b54ef4dfb05594001a61958711ac9224026291e4e3f92f83a6fd7f
+    # via -r torch/requirements.in
+torch==2.9.0+cpu ; sys_platform != 'darwin' \
+    --hash=sha256:28f6eb31b08180a5c5e98d5bc14eef6909c9f5a1dbff9632c3e02a8773449349 \
+    --hash=sha256:2f49bb57a5fe0dc7f8e73ea9e5d36ebda2ea25b8a714a788f0fc2fc47d20a830 \
+    --hash=sha256:389e1e0b8083fd355f7caf5ba82356b5e01c318998bd575dbf2285a0d8137089 \
+    --hash=sha256:3a60d1ecf27a9cce839b3aa665b26f0af1b1007b9c9f1e7f597f6b7bdf107617 \
+    --hash=sha256:3a651434ae1248b0568c12b5f9e3acc8942eb28378d9d04a79302938b68c6f24 \
+    --hash=sha256:44aadb735774d4a99525d2ec29126b23016c44a07b02ce6c237dfa61a223dd52 \
+    --hash=sha256:528fd338311f31c9fb18038cafd00e6eae0bf5ad5577521701acb62510753d18 \
+    --hash=sha256:5ce3d01aef91dc078fbb121814e556d55bc886d303efaf42c4fe67e411f5f9ad \
+    --hash=sha256:6c777160288b08555820781ae0f3a2c67a59bd24b065e88ca1ec20e2f9dc8ac7 \
+    --hash=sha256:6c9b217584400963d5b4daddb3711ec7a3778eab211e18654fba076cce3b8682 \
+    --hash=sha256:728372e3f58c5826445f677746e5311c1935c1a7c59599f73a49ded850e038e8 \
+    --hash=sha256:95e56c26f919fbb98f16e7a0b87af494b893f9da9a65a020f17a01c13e520a81 \
+    --hash=sha256:96f3f7aa4eb9e7fc5af8a722eaf1e5e32e3039dbafe817178d7b90a8566be32d \
+    --hash=sha256:add3e93ecc1eeaa6853f6a973ce60ffb3cb14ed2e80f5055e139b09385dce0a7 \
+    --hash=sha256:b224792ea567b52c7f1ce1d789567f6920e06fd3b339fa1e1b05948845f783ad \
+    --hash=sha256:b355e07b7f0c369cb031adfcbff5c37a609abcea091b918a39886412afd2e07d \
+    --hash=sha256:bd2a257e670ede9fc01c6d76dccdc473040913b8e9328169bf177dbdc38e2484 \
+    --hash=sha256:be4438d8dad7f0d5a5e54f0feef8a893446894ec87f102bb1d82dcc4518542e4 \
+    --hash=sha256:c2698999361d73c2d25d7cc8a787130188d49b183abb18b554228daa102e1594 \
+    --hash=sha256:d572863990e7d2762b547735ef589f6350d9eb4e441d38753a1c33636698cf4c \
+    --hash=sha256:da77341ccaba31762d9238b0942c165c4582a26818f3045b052b39cebdd7ad9d \
+    --hash=sha256:e438061b87ec7dd6018fca9f975219889aa0a3f6cdc3ea10dd0ae2bc7f1c47ce \
+    --hash=sha256:eb13ff1c34e338d722e76a4fd83b8d282782505bd1b99af4b3c32da66eba6eb4 \
+    --hash=sha256:fa0d1373d04b30ff8f12d542135d292f1a1ddb7c0d852a3d487a320360e5dab9
+    # via -r torch/requirements.in
+typing-extensions==4.15.0 \
+    --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548
+    # via torch
diff --git a/tests/integration/pip_parse/torch/test_empty.py b/tests/integration/pip_parse/torch/test_empty.py
new file mode 100644
index 0000000000..6b5af5ac82
--- /dev/null
+++ b/tests/integration/pip_parse/torch/test_empty.py
@@ -0,0 +1,13 @@
+import os
+import unittest
+
+
+class TestEmpty(unittest.TestCase):
+    def test_lists(self):
+        self.assertEqual("", os.environ["REQUIREMENTS"])
+        self.assertEqual("", os.environ["REQUIREMENTS_WHL"])
+        self.assertEqual("", os.environ["REQUIREMENTS_DATA"])
+
+
+if __name__ == "__main__":
+    unittest.main()