Files
rigdoctor/pyproject.toml
T
jessey e6d94fbd59 feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1
Selecting the Ollama provider pre-fills the model field with the suggested
qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't
overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:25:04 +02:00

27 lines
677 B
TOML

[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
[project]
name = "rigdoctor"
version = "0.27.1"
description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
readme = "README.md"
requires-python = ">=3.11"
# Core/CLI/daemon are stdlib-only by design (D2). The GUI/tray modules will add
# PySide6 via an optional extra when those land.
dependencies = []
[project.optional-dependencies]
gui = ["PySide6", "pyte"]
[project.scripts]
rigdoctor = "rigdoctor.cli:main"
rigdoctor-gui = "rigdoctor.gui.app:main"
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-data]
rigdoctor = ["gui/assets/*.svg"]