diff --git a/CHANGELOG.md b/CHANGELOG.md
index d100b4096..ae03a5df4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -15,6 +15,9 @@ PLEASE REMEMBER TO CHANGE THE '..main' WITH AN ACTUAL TAG in GITHUB LINK.
     {jax-issue}`#7733`) is stable and public. See [the
     overview](https://jax.readthedocs.io/en/latest/aot.html) and the API docs
     for {mod}`jax.stages`.
+* Breaking changes
+  * `jax._src` is no longer imported into the from the public `jax` namespace.
+    This may break users that were using JAX internals.
 
 ## jax 0.3.17 (Aug 31, 2022)
 * [GitHub commits](https://github.com/google/jax/compare/jax-v0.3.16...jax-v0.3.17).
diff --git a/jax/__init__.py b/jax/__init__.py
index 5271e73a8..75b54317e 100644
--- a/jax/__init__.py
+++ b/jax/__init__.py
@@ -146,3 +146,5 @@ from jax import tree_util as tree_util
 from jax import util as util
 
 import jax.lib  # TODO(phawkins): remove this export.
+
+del jax._src
diff --git a/jax/experimental/jax2tf/tests/sharding_test.py b/jax/experimental/jax2tf/tests/sharding_test.py
index 03e04ffc4..246da8ffd 100644
--- a/jax/experimental/jax2tf/tests/sharding_test.py
+++ b/jax/experimental/jax2tf/tests/sharding_test.py
@@ -103,7 +103,7 @@ class ShardedJitHloTest(tf_test_util.JaxToTfTestCase):
       device_assignment = np.arange(num_partitions * num_replicas)
       device_assignment = np.reshape(device_assignment, (-1, num_partitions))
       use_spmd_partitioning = num_partitions > 1
-      compile_options = jax._src.lib.xla_bridge.get_compile_options(
+      compile_options = xla_bridge.get_compile_options(
           num_replicas=num_replicas,
           num_partitions=num_partitions,
           device_assignment=device_assignment,
diff --git a/jax/experimental/sparse/linalg.py b/jax/experimental/sparse/linalg.py
index bbace7344..de08f56c3 100644
--- a/jax/experimental/sparse/linalg.py
+++ b/jax/experimental/sparse/linalg.py
@@ -24,7 +24,7 @@ from jax import core
 from jax.interpreters import mlir
 from jax.interpreters import xla
 
-from jax._src.lib import gpu_solver
+from jax._src.lib import gpu_solver, xla_extension_version
 
 import numpy as np
 
@@ -550,6 +550,6 @@ def spsolve(data, indices, indptr, b, tol=1e-6, reorder=1):
     An array with the same dtype and size as b representing the solution to
     the sparse linear system.
   """
-  if jax._src.lib.xla_extension_version < 86:
+  if xla_extension_version < 86:
     raise ValueError('spsolve requires jaxlib version 86 or above.')
   return spsolve_p.bind(data, indices, indptr, b, tol=tol, reorder=reorder)