Configure Python project with pydantic, structlog, typer, rich dependencies. Set up ruff, mypy, pytest tooling with strict type checking.
1.1 KiB
1.1 KiB
Veritext
Semantic text validation framework for Python.
Validates text outputs against quality criteria using metrics like BLEU, ROUGE, and semantic similarity. Designed for developers building systems that produce text (chatbots, content generators, summarisation tools) who need automated quality assurance beyond simple string matching.
Status
Under active development. See changelog.md for progress.
Installation
pip install veritext
# With semantic similarity support
pip install veritext[semantic]
Quick Start
from veritext import validators as v
from veritext.core.types import ValidationContext
# Create validators
validator = v.all_of([
v.bleu(min_score=0.7),
v.length(max_chars=500),
])
# Validate text
context = ValidationContext(reference="The cat sat on the mat.")
result = validator.check("A cat is sitting on the mat.", context)
if not result.passed:
print(result.failure_summary)
Documentation
Licence
MIT