forked from phoenix-oss/llama-stack-mirror
fix: enable test_responses_store (#2290)
# What does this PR do? Changed the test to not require tool_call in output, but still keeping the tools params there as a smoke test. ## Test Plan Used llama3.3 from fireworks (same as CI) <img width="1433" alt="image" src="https://github.com/user-attachments/assets/1e5fca98-9b4f-402e-a0bc-d9f910f2c207" /> Run with ollama distro and 3b model.
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1 changed files with 8 additions and 8 deletions
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@ -41,7 +41,6 @@ def openai_client(client_with_models):
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],
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],
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)
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@pytest.mark.skip(reason="Very flaky, sometimes there is a message not a function call, standard tool calling issues")
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def test_responses_store(openai_client, client_with_models, text_model_id, stream, tools):
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if isinstance(client_with_models, LlamaStackAsLibraryClient):
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pytest.skip("OpenAI responses are not supported when testing with library client yet.")
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@ -68,13 +67,15 @@ def test_responses_store(openai_client, client_with_models, text_model_id, strea
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for chunk in response:
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if response_id is None:
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response_id = chunk.response.id
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if not tools:
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if chunk.type == "response.completed":
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response_id = chunk.response.id
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if chunk.type == "response.completed":
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response_id = chunk.response.id
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output_type = chunk.response.output[0].type
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if output_type == "message":
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content = chunk.response.output[0].content[0].text
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else:
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response_id = response.id
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if not tools:
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output_type = response.output[0].type
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if output_type == "message":
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content = response.output[0].content[0].text
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# list responses - use the underlying HTTP client for endpoints not in SDK
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@ -87,9 +88,8 @@ def test_responses_store(openai_client, client_with_models, text_model_id, strea
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retrieved_response = client.responses.retrieve(response_id)
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assert retrieved_response.id == response_id
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assert retrieved_response.model == text_model_id
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if tools:
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assert retrieved_response.output[0].type == "function_call"
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else:
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assert retrieved_response.output[0].type == output_type, retrieved_response
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if output_type == "message":
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assert retrieved_response.output[0].content[0].text == content
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