src/pyproject.toml

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "mskit"
version = "0.5.0"
description = "Mini Simulation Kit — terrain + traffic simulations with Simu, the built-in AI assistant (SmolLM2)"
readme = "README.md"
license = { text = "MIT" }
authors = [
  { name = "MegaBites AI Team" }
]
keywords = [
  "simulation", "terrain", "dem", "elevation", "ai", "training",
  "jaxa", "aw3d30", "traffic", "opentraffic", "utd19", "llm",
  "smollm2", "natural language"
]
classifiers = [
  "Development Status :: 3 - Alpha",
  "Intended Audience :: Science/Research",
  "Intended Audience :: Developers",
  "License :: OSI Approved :: MIT License",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Topic :: Scientific/Engineering :: GIS",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.9"
dependencies = [
  "numpy>=1.24",
  "requests>=2.28",
  "huggingface_hub>=0.20",
]

[project.optional-dependencies]
# AI assistant — downloads SmolLM2-360M on first use (~700 MB)
llm = [
  "transformers>=4.40",
  "torch>=2.0",
  "accelerate>=0.27",
  "sentencepiece>=0.1.99",
]
# GGUF models via llama.cpp
gguf = ["llama-cpp-python>=0.2"]
# Visualisation
viz = ["matplotlib>=3.7"]
# TIFF parsing for raw AW3D30 tiles
tiff = ["tifffile>=2023.1"]
# Everything
all = ["mskit[llm,gguf,viz,tiff]"]

[project.urls]
Homepage = "https://huggingface.co/datasets/MegaBites-AI/AW3D30-DEM-Tiles"
Repository = "https://github.com/MegaBites-AI/mskit"
"Bug Tracker" = "https://github.com/MegaBites-AI/mskit/issues"
"Model (Simu)" = "https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct"

[project.scripts]
mskit-upload = "mskit._cli:upload_main"
simu = "mskit.simu.simu:_cli_main"

[tool.setuptools.packages.find]
where = ["."]
include = ["mskit*"]