pyproject.toml

[project]
name = "tinyrouter"
version = "0.1.0"
description = "A fine-tuned local intent router for CLINC150, calibrated and cascaded to an LLM only when unsure."
readme = "README.md"
license = { text = "MIT" }
authors = [{ name = "Bo-Yu Chen" }]
requires-python = "==3.12.*"
# Exact pins for every direct dependency. uv.lock pins the transitive set.
dependencies = [
    "accelerate==1.15.0",
    "datasets==5.0.1",
    "huggingface-hub==1.32.0",
    "numpy==2.5.3",
    "pyarrow==25.0.1",
    "pyyaml==6.0.3",
    "scikit-learn==1.9.1",
    "torch==2.14.0",
    "transformers==5.17.0",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/tinyrouter"]

[dependency-groups]
# The Claude Haiku baseline and cascade fallback. Not installed by
# `uv sync`; `uv sync --group llm` installs it, and `make llm` / `make
# llm-smoke` ask uv for it. tinyrouter/llm.py imports it only at call time.
# CI installs it: the retry and redaction tests raise the SDK's real
# exception classes at a fake client (they skip where it is missing).
llm = [
    "anthropic==1.8.0",
]
dev = [
    "pytest==9.1.1",
    "ruff==0.16.8",
    # tests/test_metrics.py checks wilson_interval against scipy. It is also
    # a scikit-learn dependency, but a test must not rely on that.
    "scipy==1.18.1",
]
# ONNX export and ONNX Runtime (RQ7; scripts/export_onnx.py). Not installed
# by `uv sync` or in CI; `uv sync --group onnx` installs it.
onnx = [
    "onnx==1.23.0",
    "onnxruntime==1.30.0",
    "onnxscript==0.7.2",
]
# `make figures` (results/figures/*.png). Not installed by `uv sync`; CI's
# test job installs it so the figure tests run there.
figures = [
    "matplotlib==3.11.2",
]

[tool.uv]
default-groups = ["dev"]

[tool.uv.sources]
# CPU-only torch wheels on Linux (CI runners have no GPU; the default PyPI
# wheel pulls several GB of CUDA libraries). macOS resolves the normal
# PyPI wheel (MPS included).
torch = [
    { index = "pytorch-cpu", marker = "sys_platform == 'linux'" },
]

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.ruff]
line-length = 100
src = ["src", "tests"]

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
    "network: downloads from the Hugging Face Hub or the pinned clinc/oos-eval commit on GitHub",
]
addopts = "-m 'not network'"