forked from phoenix-oss/llama-stack-mirror
fix(test): update client-sdk tests to handle tool format parametrization better (#1287)
# What does this PR do? Tool format depends on the model. @ehhuang introduced a `get_default_tool_prompt_format` function for this purpose. We should use that instead of hacky model ID matching we had before. Secondly, non llama models don't have this concept so testing with those models should work as is. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan ```bash for distro in fireworks ollama; do LLAMA_STACK_CONFIG=$distro \ pytest -s -v tests/client-sdk/inference/test_text_inference.py \ --inference-model=meta-llama/Llama-3.2-3B-Instruct \ --vision-inference-model="" done LLAMA_STACK_CONFIG=dev \ pytest -s -v tests/client-sdk/inference/test_text_inference.py \ --inference-model=openai/gpt-4o \ --vision-inference-model="" ``` [//]: # (## Documentation)
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3 changed files with 64 additions and 63 deletions
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@ -324,6 +324,7 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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await end_trace()
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json_content = json.dumps(convert_pydantic_to_json_value(result))
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mock_response = httpx.Response(
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status_code=httpx.codes.OK,
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content=json_content.encode("utf-8"),
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@ -335,7 +336,7 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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url=options.url,
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params=options.params,
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headers=options.headers or {},
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json=options.json_data,
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json=convert_pydantic_to_json_value(body),
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),
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)
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response = APIResponse(
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@ -384,7 +385,7 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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url=options.url,
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params=options.params,
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headers=options.headers or {},
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json=options.json_data,
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json=convert_pydantic_to_json_value(body),
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),
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)
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