forked from phoenix-oss/llama-stack-mirror
f4f47970e5
# What does this PR do? Default inference_model for testing: "meta-llama/Llama-3.1-8B-Instruct" Default vision inference_model for testing: "meta-llama/Llama-3.2-11B-Vision-Instruct" ## Test Plan `/opt/miniconda3/envs/stack/bin/pytest -s -v --inference-model=meta-llama/Llama-3.2-3B-Instruct tests/client-sdk/agents` `/opt/miniconda3/envs/stack/bin/pytest -s -v --embedding-model=all-MiniLM-L6-v2 tests/client-sdk/vector_io` `/opt/miniconda3/envs/stack/bin/pytest -s -v --safety-shield=meta-llama/Llama-Guard-3-1B tests/client-sdk/safety` ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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import pytest
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from llama_stack import LlamaStackAsLibraryClient
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from llama_stack.providers.tests.env import get_env_or_fail
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from llama_stack_client import LlamaStackClient
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from report import Report
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def pytest_configure(config):
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config.option.tbstyle = "short"
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config.option.disable_warnings = True
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if config.getoption("--report"):
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config.pluginmanager.register(Report())
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TEXT_MODEL = "meta-llama/Llama-3.1-8B-Instruct"
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VISION_MODEL = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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def pytest_addoption(parser):
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parser.addoption(
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"--report",
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default=False,
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action="store_true",
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help="Knob to determine if we should generate report, e.g. --output=True",
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)
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parser.addoption(
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"--inference-model",
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action="store",
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default=TEXT_MODEL,
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help="Specify the inference model to use for testing",
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)
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parser.addoption(
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"--vision-inference-model",
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action="store",
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default=VISION_MODEL,
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help="Specify the vision inference model to use for testing",
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)
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@pytest.fixture(scope="session")
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def provider_data():
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# check env for tavily secret, brave secret and inject all into provider data
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provider_data = {}
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if os.environ.get("TAVILY_SEARCH_API_KEY"):
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provider_data["tavily_search_api_key"] = os.environ["TAVILY_SEARCH_API_KEY"]
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if os.environ.get("BRAVE_SEARCH_API_KEY"):
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provider_data["brave_search_api_key"] = os.environ["BRAVE_SEARCH_API_KEY"]
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return provider_data if len(provider_data) > 0 else None
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@pytest.fixture(scope="session")
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def llama_stack_client(provider_data):
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if os.environ.get("LLAMA_STACK_CONFIG"):
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client = LlamaStackAsLibraryClient(
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get_env_or_fail("LLAMA_STACK_CONFIG"),
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provider_data=provider_data,
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skip_logger_removal=True,
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)
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client.initialize()
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elif os.environ.get("LLAMA_STACK_BASE_URL"):
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client = LlamaStackClient(
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base_url=get_env_or_fail("LLAMA_STACK_BASE_URL"),
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provider_data=provider_data,
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)
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else:
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raise ValueError("LLAMA_STACK_CONFIG or LLAMA_STACK_BASE_URL must be set")
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return client
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def pytest_generate_tests(metafunc):
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if "text_model_id" in metafunc.fixturenames:
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metafunc.parametrize(
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"text_model_id",
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[metafunc.config.getoption("--inference-model")],
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scope="session",
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)
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if "vision_model_id" in metafunc.fixturenames:
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metafunc.parametrize(
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"vision_model_id",
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[metafunc.config.getoption("--vision-inference-model")],
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scope="session",
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)
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