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test_response_non_streaming_file_search_empty_vector_store( responses_client, text_model_id, embedding_model_id, embedding_dimension ): - if isinstance(responses_client, LlamaStackAsLibraryClient): - pytest.skip("Responses API file search is not yet supported in library client.") - vector_store = new_vector_store(responses_client, "test_vector_store", embedding_model_id, embedding_dimension) # Create the response request, which should query our vector store @@ -137,9 +131,6 @@ def test_response_sequential_file_search( responses_client, text_model_id, embedding_model_id, embedding_dimension, tmp_path ): """Test file search with sequential responses using previous_response_id.""" - if isinstance(responses_client, LlamaStackAsLibraryClient): - pytest.skip("Responses API file search is not yet supported in library client.") - vector_store = new_vector_store(responses_client, "test_vector_store", embedding_model_id, embedding_dimension) # Create a test file with content