pytest-pyeval
A pytest plugin integrating pydantic-evals
Run evals via pytest with the power of fixtures and using a familiar Arrange, Act, Evaluate pattern.
Example
from pyeval import dataset, execute, Case, EqualsExpected, Contains
def uppercase_text(text: str) -> str:
return text.upper()
@dataset(
Case(
name="uppercase_basic",
inputs="hello world",
expected_output="HELLO WORLD",
),
Case(
name="uppercase_with_numbers",
inputs="hello 123",
expected_output="HELLO 123",
),
)
def eval_uppercase(case: Case):
result = execute(uppercase_text, case)
result.evaluate(EqualsExpected())
result.evaluate(Contains(value="HELLO", case_sensitive=True))
$ uv run pyeval
============================== test session starts ==============================
platform darwin -- Python 3.13.1, pytest-9.0.2, pluggy-1.6.0
plugins: anyio-4.12.1, pyeval-0.1.0
collected 2 items
tests/evals/eval_example.py ●● [100%]
============================= 2 evaluated in 0.02s ==============================
Installation
uv add --dev pytest-pyeval
Running evals
pytest-pyeval keeps evals separate from your regular test suite. Evals are
excluded from pytest by default, since they are typically slower, hit live
APIs, and run on a different cadence to unit tests.
| Command | What runs |
|---|---|
pytest |
Regular tests only (test_*.py) |
pytest --evals |
Eval tests only (eval_*.py) |
pyeval |
Shorthand for pytest --evals |
pyeval # discover and run all evals in the project
pyeval evals/ # run evals under a specific path
pyeval evals/eval_foo.py # run a single eval file
Metadata
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Total release size: 16.1 kB
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