diff --git a/litellm/batches/batch_utils.py b/litellm/batches/batch_utils.py
index d63482977ed..5ebdadba4b5 100644
--- a/litellm/batches/batch_utils.py
+++ b/litellm/batches/batch_utils.py
@@ -5,6 +5,7 @@ from typing import Any, List, Literal, Optional, Tuple
 import httpx
 
 import litellm
+from litellm.llms.vertex_ai.batches.utils import get_vertex_ai_batch_output_with_custom_id
 from litellm._logging import verbose_logger
 from litellm._uuid import uuid
 from litellm.types.llms.openai import Batch
@@ -207,7 +208,7 @@ async def _get_batch_output_file_content_as_dictionary(
     )
 
     if custom_llm_provider == "vertex_ai":
-        return await _get_vertex_ai_batch_output_with_custom_id(
+        return await get_vertex_ai_batch_output_with_custom_id(
             batch=batch,
             litellm_params=litellm_params,
         )
@@ -238,45 +239,6 @@ async def _get_batch_output_file_content_as_dictionary(
     return _get_file_content_as_dictionary(_file_content.content)
 
 
-async def _get_vertex_ai_batch_output_with_custom_id(
-    batch: Batch,
-    litellm_params: Optional[dict] = None,
-) -> List[dict]:
-    """
-    Vertex AI batch outputs do not reliably include custom_id.
-    Map output lines back to custom_id using keyField (preferred).
-    """
-    from litellm.files.main import afile_content
-
-    if batch.output_file_id is None:
-        raise ValueError("Output file id is None cannot retrieve file content")
-
-    credentials = _extract_file_access_credentials(litellm_params)
-
-    output_content = await afile_content(
-        file_id=batch.output_file_id,
-        custom_llm_provider="vertex_ai",
-        **credentials,
-    )
-    output_lines = _get_file_content_as_dictionary(output_content.content)
-
-    output_has_keys = all(
-        (line.get("custom_id") or line.get("key")) for line in output_lines
-    )
-    if not output_has_keys:
-        raise ValueError(
-            "Vertex AI batch output is missing custom_id/key; cannot safely map results"
-        )
-
-    mapped_lines = []
-    for line in output_lines:
-        key = line.get("custom_id") or line.get("key")
-        if key is not None:
-            line["custom_id"] = key
-        mapped_lines.append(line)
-    return mapped_lines
-
-
 def _extract_file_access_credentials(litellm_params: Optional[dict]) -> dict:
     """
     Extract credentials from litellm_params for file access operations.
diff --git a/litellm/llms/vertex_ai/batches/utils.py b/litellm/llms/vertex_ai/batches/utils.py
new file mode 100644
index 00000000000..26b1545504f
--- /dev/null
+++ b/litellm/llms/vertex_ai/batches/utils.py
@@ -0,0 +1,47 @@
+from typing import List, Optional
+
+from litellm.types.llms.openai import Batch
+
+
+async def get_vertex_ai_batch_output_with_custom_id(
+    batch: Batch,
+    litellm_params: Optional[dict] = None,
+) -> List[dict]:
+    """
+    Vertex AI batch outputs do not reliably include custom_id.
+    Map output lines back to custom_id using keyField (preferred).
+    """
+    from litellm.files.main import afile_content
+
+    if batch.output_file_id is None:
+        raise ValueError("Output file id is None cannot retrieve file content")
+
+    from litellm.batches.batch_utils import (
+        _extract_file_access_credentials,
+        _get_file_content_as_dictionary,
+    )
+
+    credentials = _extract_file_access_credentials(litellm_params)
+
+    output_content = await afile_content(
+        file_id=batch.output_file_id,
+        custom_llm_provider="vertex_ai",
+        **credentials,
+    )
+    output_lines = _get_file_content_as_dictionary(output_content.content)
+
+    output_has_keys = all(
+        (line.get("custom_id") or line.get("key")) for line in output_lines
+    )
+    if not output_has_keys:
+        raise ValueError(
+            "Vertex AI batch output is missing custom_id/key; cannot safely map results"
+        )
+
+    mapped_lines = []
+    for line in output_lines:
+        key = line.get("custom_id") or line.get("key")
+        if key is not None:
+            line["custom_id"] = key
+        mapped_lines.append(line)
+    return mapped_lines