diff --git a/.github/workflows/integration-tests.yml b/.github/workflows/integration-tests.yml
index a38d4971a..d0422d09e 100644
--- a/.github/workflows/integration-tests.yml
+++ b/.github/workflows/integration-tests.yml
@@ -52,7 +52,8 @@ jobs:
         run: |
           # Get test directories dynamically, excluding non-test directories
           # NOTE: we are excluding post_training since the tests take too long
-          TEST_TYPES=$(find tests/integration -maxdepth 1 -mindepth 1 -type d -printf "%f\n" |
+          TEST_TYPES=$(find tests/integration -maxdepth 1 -mindepth 1 -type d | 
+            sed 's|tests/integration/||' |
             grep -Ev "^(__pycache__|fixtures|test_cases|recordings|non_ci|post_training)$" |
             sort | jq -R -s -c 'split("\n")[:-1]')
           echo "test-types=$TEST_TYPES" >> $GITHUB_OUTPUT
diff --git a/tests/integration/vector_io/test_openai_vector_stores.py b/tests/integration/vector_io/test_openai_vector_stores.py
index c7cb03d66..7ccca9077 100644
--- a/tests/integration/vector_io/test_openai_vector_stores.py
+++ b/tests/integration/vector_io/test_openai_vector_stores.py
@@ -9,10 +9,11 @@ import time
 from io import BytesIO
 
 import pytest
-from llama_stack_client import BadRequestError, LlamaStackClient
+from llama_stack_client import BadRequestError
 from openai import BadRequestError as OpenAIBadRequestError
 
 from llama_stack.apis.vector_io import Chunk
+from llama_stack.core.library_client import LlamaStackAsLibraryClient
 
 logger = logging.getLogger(__name__)
 
@@ -638,7 +639,7 @@ def test_openai_vector_store_list_files_invalid_vector_store(compat_client_with_
     skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
 
     compat_client = compat_client_with_empty_stores
-    if isinstance(compat_client, LlamaStackClient):
+    if isinstance(compat_client, LlamaStackAsLibraryClient):
         errors = ValueError
     else:
         errors = (BadRequestError, OpenAIBadRequestError)
@@ -678,9 +679,15 @@ def test_openai_vector_store_retrieve_file_contents(compat_client_with_empty_sto
         file_id=file.id,
     )
 
-    assert file_contents
-    assert file_contents.content[0].type == "text"
-    assert file_contents.content[0].text == test_content.decode("utf-8")
+    assert file_contents is not None
+    assert len(file_contents.content) == 1
+    content = file_contents.content[0]
+
+    # llama-stack-client returns a model, openai-python is a badboy and returns a dict
+    if not isinstance(content, dict):
+        content = content.model_dump()
+    assert content["type"] == "text"
+    assert content["text"] == test_content.decode("utf-8")
     assert file_contents.filename == file_name
     assert file_contents.attributes == attributes