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# What does this PR do? This significantly shortens the test time (about 10x faster) since most of the time is spent on outputing the tokens "there are several planets in our solar system that have...". We want to have an answer quicker, especially when testing even larger models. ## Test Plan ``` LLAMA_STACK_BASE_URL=http://localhost:5002 pytest -v tests/client-sdk/inference/test_text_inference.py -k "test_text_chat_completion_non_streaming or test_text_chat_completion_streaming" ================================================================== test session starts =================================================================== platform linux -- Python 3.10.16, pytest-8.3.4, pluggy-1.5.0 -- /home/yutang/.conda/envs/myenv/bin/python3.10 cachedir: .pytest_cache rootdir: /home/yutang/repos/llama-stack configfile: pyproject.toml plugins: anyio-4.7.0 collected 12 items / 8 deselected / 4 selected tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_non_streaming[meta-llama/Llama-3.1-8B-Instruct-Which planet do humans live on?-Earth] PASSED [ 25%] tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_non_streaming[meta-llama/Llama-3.1-8B-Instruct-Which planet has rings around it with a name starting with letter S?-Saturn] PASSED [ 50%] tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_streaming[meta-llama/Llama-3.1-8B-Instruct-What's the name of the Sun in latin?-Sol] PASSED [ 75%] tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_streaming[meta-llama/Llama-3.1-8B-Instruct-What is the name of the US captial?-Washington] PASSED [100%] ``` --------- Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> |
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| .. | ||
| agents | ||
| inference | ||
| safety | ||
| tool_runtime | ||
| vector_io | ||
| __init__.py | ||
| conftest.py | ||
| metadata.py | ||
| README.md | ||
| report.py | ||
Llama Stack Integration Tests
You can run llama stack integration tests on either a Llama Stack Library or a Llama Stack endpoint.
To test on a Llama Stack library with certain configuration, run
LLAMA_STACK_CONFIG=./llama_stack/templates/cerebras/run.yaml
pytest -s -v tests/client-sdk/inference/
or just the template name
LLAMA_STACK_CONFIG=together
pytest -s -v tests/client-sdk/inference/
To test on a Llama Stack endpoint, run
LLAMA_STACK_BASE_URL=http//localhost:8089
pytest -s -v tests/client-sdk/inference
Report Generation
To generate a report, run with --report option
LLAMA_STACK_CONFIG=together pytest -s -v report.md tests/client-sdk/ --report
Common options
Depending on the API, there are custom options enabled
- For tests in
inference/andagents/, we support--inference-model(to be used in text inference tests) and--vision-inference-model` (only used in image inference tests) overrides - For tests in
vector_io/, we support--embedding-modeloverride - For tests in
safety/, we support--safety-shieldoverride - The param can be
--reportor--report <path>If path is not provided, we do a best effort to infer based on the config / template name. For url endpoints, path is required.