diff --git a/src/pipecat/services/google/gemini_live/vertex/llm.py b/src/pipecat/services/google/gemini_live/vertex/llm.py
index b02c18a60..42bd34f9a 100644
--- a/src/pipecat/services/google/gemini_live/vertex/llm.py
+++ b/src/pipecat/services/google/gemini_live/vertex/llm.py
@@ -238,6 +238,20 @@ class GeminiLiveVertexLLMService(GeminiLiveLLMService):
             "When using Vertex AI, the recommended approach is to use Google Cloud Storage for file handling. The Gemini File API is not directly supported in this context."
         )
 
+    @property
+    def _supports_non_blocking_tools(self) -> bool:
+        """Vertex AI's Gemini Live endpoint does not yet support NON_BLOCKING tool calls.
+
+        Override the base ``GeminiLiveLLMService`` getter to disable the
+        NON_BLOCKING ``behavior`` field on function declarations and the
+        ``scheduling`` field on FunctionResponse for Vertex sessions —
+        sending either appears to break tool calling against Vertex.
+        Users hitting this on a function registered with
+        ``cancel_on_interruption=False`` will see the same one-time
+        warning the base class surfaces for unsupported models.
+        """
+        return False
+
     @staticmethod
     def _get_credentials(
         credentials: str | None, credentials_path: str | None