more fixes

docs/source/providers/post_training/inline_huggingface.md

@@ -27,7 +27,7 @@ HuggingFace-based post-training provider for fine-tuning models using the Huggin
 | `dpo_beta` | `<class 'float'>` | No | 0.1 |  |
 | `use_reference_model` | `<class 'bool'>` | No | True |  |
 | `dpo_loss_type` | `Literal['sigmoid', 'hinge', 'ipo', 'kto_pair'` | No | sigmoid |  |
-| `dpo_output_dir` | `<class 'str'>` | No | ./checkpoints/dpo |  |
+| `dpo_output_dir` | `<class 'str'>` | No | /var/folders/mj/t_stv1ys7637vqf2_b4yf67m0000gn/T/dpo_output_q24jwy0r |  |
 
 ## Sample Configuration
 

llama_stack/providers/inline/post_training/huggingface/config.py

@@ -4,10 +4,10 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+import tempfile
 from typing import Any, Literal
 
 from pydantic import BaseModel, Field
-import tempfile
 
 
 class HuggingFacePostTrainingConfig(BaseModel):

tests/integration/agents/test_openai_responses.py

@@ -4,7 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 import pytest
-from openai import BadRequestError
+from openai import BadRequestError, OpenAI
 
 from llama_stack.core.library_client import LlamaStackAsLibraryClient
 
@@ -36,6 +36,9 @@ from llama_stack.core.library_client import LlamaStackAsLibraryClient
     ],
 )
 def test_responses_store(compat_client, text_model_id, stream, tools):
+    if not isinstance(compat_client, OpenAI):
+        pytest.skip("OpenAI client is required until responses.delete() exists in llama-stack-client")
+
     message = "What's the weather in Tokyo?" + (
         " YOU MUST USE THE get_weather function to get the weather." if tools else ""
     )