diff --git a/provider/astronomer/providers/venv/decorators.py b/provider/astronomer/providers/venv/decorators.py
index 1d38720..7ab1686 100644
--- a/provider/astronomer/providers/venv/decorators.py
+++ b/provider/astronomer/providers/venv/decorators.py
@@ -38,6 +38,46 @@ def get_python_source(self):
         res = remove_task_decorator(res, self.custom_operator_name)
         return res
 
+    # Override the version from superclass to be tollerant of astro specific post releases.
+    def _get_airflow_version_from_target_env(self) -> str | None:
+        import subprocess
+
+        import airflow
+        from airflow.exceptions import AirflowConfigException
+        from packaging.version import Version
+
+        airflow_version = Version(airflow.__version__)
+        try:
+            result = subprocess.check_output(
+                [self.python, "-c", "from airflow import __version__; print(__version__)"],
+                text=True,
+                # Avoid Airflow logs polluting stdout.
+                env={
+                    **os.environ,
+                    "_AIRFLOW__AS_LIBRARY": "true",
+                    "AIRFLOW__CORE__LAZY_LOAD_PROVIDERS": "True",
+                    "AIRFLOW__CORE__LAZY_LOAD_PLUGINS": "True",
+                },
+            )
+            target_airflow_version = Version(result.strip())
+            if target_airflow_version.base_version != airflow_version.base_version:
+                raise AirflowConfigException(
+                    f"The version of Airflow installed for the {self.python}("
+                    f"{target_airflow_version}) is different than the runtime Airflow version: "
+                    f"{airflow_version}. Make sure your environment has the same Airflow version "
+                    f"installed as the Airflow runtime."
+                )
+            return target_airflow_version
+        except Exception as e:
+            if self.expect_airflow:
+                self.log.warning("When checking for Airflow installed in virtual environment got %s", e)
+                self.log.warning(
+                    f"This means that Airflow is not properly installed by  "
+                    f"{self.python}. Airflow context keys will not be available. "
+                    f"Please Install Airflow {airflow_version.base_version} in your environment to access them."
+                )
+            return None
+
 
 def venv_task(
     venv: str,