diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 37d267fcd6e..f1b4c6b5b17 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -54,6 +54,9 @@ from litellm.proxy.openai_files_endpoints.common_utils import (
     normalize_mime_type_for_provider,
     resolve_managed_output_file_model_name,
 )
+from litellm.proxy.pass_through_endpoints.llm_provider_handlers.batch_attribution import (
+    request_tags_from_metadata,
+)
 from litellm.types.llms.openai import (  # pyright: ignore[reportAttributeAccessIssue]
     AllMessageValues,
     AsyncCursorPage,
@@ -1146,6 +1149,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             ## Check if unified_file_id is in the response
             unified_file_id = response._hidden_params.get("unified_file_id")  # managed file id
             unified_batch_id = response._hidden_params.get("unified_batch_id")  # managed batch id
+            is_batch_create: Final = unified_file_id is not None
             model_id = cast(Optional[str], response._hidden_params.get("model_id"))
             model_name = cast(Optional[str], response._hidden_params.get("model_name"))
 
@@ -1216,6 +1220,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                             model_mappings={model_id: provider_file_id},
                             user_api_key_dict=user_api_key_dict,
                         )
+            request_metadata: Final = data.get("litellm_metadata")
             await self.store_unified_object_id(
                 unified_object_id=response.id,
                 file_object=response,
@@ -1223,6 +1228,8 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 model_object_id=original_response_id,
                 file_purpose="batch",
                 user_api_key_dict=user_api_key_dict,
+                request_tags=request_tags_from_metadata(request_metadata if isinstance(request_metadata, dict) else {}),
+                persist_attribution=is_batch_create,
             )
 
             # Only record batch creation metric on actual create (not retrieve/cancel).
diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
index d260f79a09a..6cc31f991a3 100644
--- a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
+++ b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
@@ -828,3 +828,49 @@ async def test_cost_job_and_retrieve_paths_mint_identical_unified_output_file_id
         model_id="model-deploy-xyz",
         model_name=cost_job_model_name,
     )
+
+
+@pytest.mark.asyncio
+async def test_batch_create_hook_persists_creating_key_and_tags():
+    """Regression: the /v1/batches create hook must persist the creating key and the
+    request's tags on the managed object row. CheckBatchCost, which owns the batch's
+    accounting once the retrieve path defers to it, bills whatever the row carries, and
+    without these columns the cost lands on the user alone and the key's spend and
+    budget never see it."""
+    managed_files = _make_managed_files_instance()
+    creator = UserAPIKeyAuth(api_key="sk-the-creator", user_id="alice", parent_otel_span=None)
+    create_response = _make_batch_response(status="validating", output_file_id=None)
+
+    await managed_files.async_post_call_success_hook(
+        data={"litellm_metadata": {"tags": ["env:prod", "team:ml"], "user_api_key": creator.api_key}},
+        user_api_key_dict=creator,
+        response=create_response,
+    )
+
+    managed_files.store_unified_object_id.assert_awaited_once()
+    stored = managed_files.store_unified_object_id.await_args.kwargs
+    assert stored["persist_attribution"] is True
+    assert stored["request_tags"] == ("env:prod", "team:ml")
+    assert stored["user_api_key_dict"] is creator
+
+
+@pytest.mark.asyncio
+async def test_batch_retrieve_hook_does_not_claim_attribution():
+    """A retrieve carries unified_batch_id but no unified_file_id, so it must not rewrite
+    the row's paying key to whoever happens to poll the batch."""
+    managed_files = _make_managed_files_instance()
+    retrieve_response = _make_batch_response(status="in_progress", output_file_id=None)
+    retrieve_response._hidden_params = {
+        "unified_batch_id": "some-unified-batch-id",
+        "model_id": "model-deploy-xyz",
+        "model_name": "azure/gpt-4",
+    }
+
+    await managed_files.async_post_call_success_hook(
+        data={"litellm_metadata": {"tags": ["poller:tag"]}},
+        user_api_key_dict=UserAPIKeyAuth(api_key="sk-the-poller", user_id="bob", parent_otel_span=None),
+        response=retrieve_response,
+    )
+
+    managed_files.store_unified_object_id.assert_awaited_once()
+    assert managed_files.store_unified_object_id.await_args.kwargs["persist_attribution"] is False