diff --git a/tests/test_ray_env_utils.py b/tests/test_ray_env_utils.py
index d311de41ba..8e066bc6d2 100644
--- a/tests/test_ray_env_utils.py
+++ b/tests/test_ray_env_utils.py
@@ -5,7 +5,10 @@
 import os
 from unittest.mock import patch
 
-from vllm.v1.executor.ray_env_utils import get_driver_env_vars
+from vllm.v1.executor.ray_env_utils import (
+    get_driver_env_vars,
+    update_runtime_env_for_worker_import,
+)
 
 WORKER_VARS: set[str] = {
     "CUDA_VISIBLE_DEVICES",
@@ -49,3 +52,26 @@ class TestExclusion:
     )
     def test_non_carry_over_blacklist(self):
         assert "LMCACHE_LOCAL_CPU" not in get_driver_env_vars(WORKER_VARS)
+
+
+class TestImportTimePropagation:
+    @patch.dict(os.environ, {"VLLM_USE_BREAKABLE_CUDAGRAPH": "1"}, clear=False)
+    def test_breakable_cudagraph_is_available_during_actor_import(self):
+        runtime_env = {"env_vars": {"EXISTING": "value"}}
+
+        result = update_runtime_env_for_worker_import(runtime_env)
+
+        assert result is runtime_env
+        assert result["env_vars"] == {
+            "EXISTING": "value",
+            "VLLM_USE_BREAKABLE_CUDAGRAPH": "1",
+        }
+
+    @patch.dict(os.environ, {"OTHER_ENV_VAR": "value"}, clear=True)
+    def test_other_env_vars_are_unchanged(self):
+        runtime_env = {"env_vars": {"EXISTING": "value"}}
+
+        result = update_runtime_env_for_worker_import(runtime_env)
+
+        assert result is runtime_env
+        assert result["env_vars"] == {"EXISTING": "value"}
diff --git a/vllm/v1/executor/ray_env_utils.py b/vllm/v1/executor/ray_env_utils.py
index 6ce12b8ca9..799cc4b84e 100644
--- a/vllm/v1/executor/ray_env_utils.py
+++ b/vllm/v1/executor/ray_env_utils.py
@@ -4,6 +4,8 @@ import os
 
 from vllm.ray.ray_env import RAY_NON_CARRY_OVER_ENV_VARS
 
+_RAY_WORKER_PRE_IMPORT_ENV_VARS = frozenset({"VLLM_USE_BREAKABLE_CUDAGRAPH"})
+
 
 def get_driver_env_vars(
     worker_specific_vars: set[str],
@@ -16,3 +18,16 @@ def get_driver_env_vars(
     exclude_vars = worker_specific_vars | RAY_NON_CARRY_OVER_ENV_VARS
 
     return {key: value for key, value in os.environ.items() if key not in exclude_vars}
+
+
+def update_runtime_env_for_worker_import(runtime_env: dict) -> dict:
+    """Expose driver environment variables needed before Ray actor import.
+
+    VllmConfig can auto-enable breakable CUDA graphs after Ray starts, while
+    eager_break_during_capture resolves the setting during model import.
+    """
+    for env_var in _RAY_WORKER_PRE_IMPORT_ENV_VARS:
+        if env_var in os.environ:
+            env_vars = runtime_env.setdefault("env_vars", {})
+            env_vars[env_var] = os.environ[env_var]
+    return runtime_env
diff --git a/vllm/v1/executor/ray_executor.py b/vllm/v1/executor/ray_executor.py
index 986e4d9bbb..b2c385a862 100644
--- a/vllm/v1/executor/ray_executor.py
+++ b/vllm/v1/executor/ray_executor.py
@@ -22,6 +22,9 @@ from vllm.utils.network_utils import (
 from vllm.v1.core.sched.output import GrammarOutput, SchedulerOutput
 from vllm.v1.engine import ReconfigureDistributedRequest, ReconfigureRankType
 from vllm.v1.executor.abstract import Executor
+from vllm.v1.executor.ray_env_utils import (
+    update_runtime_env_for_worker_import,
+)
 from vllm.v1.executor.ray_utils import (
     WORKER_SPECIFIC_ENV_VARS,
     FutureWrapper,
@@ -147,6 +150,7 @@ class RayDistributedExecutor(Executor):
         env_vars.update(
             {env_var: "1" for env_var in current_platform.ray_noset_device_env_vars}
         )
+        update_runtime_env_for_worker_import(runtime_env)
         return ray_remote_kwargs
 
     # child class could overwrite this to return actual env vars.
diff --git a/vllm/v1/executor/ray_executor_v2.py b/vllm/v1/executor/ray_executor_v2.py
index e8e5f5107c..8f4b84ed0f 100644
--- a/vllm/v1/executor/ray_executor_v2.py
+++ b/vllm/v1/executor/ray_executor_v2.py
@@ -26,7 +26,10 @@ from vllm.v1.executor.multiproc_executor import (
     MultiprocExecutor,
     WorkerProc,
 )
-from vllm.v1.executor.ray_env_utils import get_driver_env_vars
+from vllm.v1.executor.ray_env_utils import (
+    get_driver_env_vars,
+    update_runtime_env_for_worker_import,
+)
 from vllm.v1.executor.ray_utils import (
     WORKER_SPECIFIC_ENV_VARS,
     build_actor_name,
@@ -258,6 +261,7 @@ class RayExecutorV2(MultiprocExecutor):
 
         env_vars = runtime_env.setdefault("env_vars", {})
         env_vars.update({v: "1" for v in current_platform.ray_noset_device_env_vars})
+        update_runtime_env_for_worker_import(runtime_env)
         if self.parallel_config.ray_workers_use_nsight:
             runtime_env["nsight"] = {
                 "t": "cuda,cudnn,cublas",