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pyproject.toml
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70 lines (63 loc) · 2 KB
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# Root pyproject.toml — delegates to agent/pyproject.toml
# The installable Python package lives in agent/.
# To install from source:
#
# cd agent && pip install -e .
#
# To install the published package:
#
# pip install aluminatiai
#
[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "aluminatiai"
version = "0.2.1"
description = "GPU energy monitoring agent — per-job cost attribution for AI teams"
readme = "agent/README.md"
license = { text = "Apache-2.0" }
requires-python = ">=3.8"
keywords = ["gpu", "monitoring", "energy", "mlops", "cost", "nvidia"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"nvidia-ml-py>=12.0.0",
"requests>=2.28",
"python-dotenv>=1.0",
"rich>=13.0",
]
[project.optional-dependencies]
prometheus = ["prometheus-client>=0.19"]
[project.scripts]
aluminatiai = "aluminatiai.cli:main"
[project.urls]
Homepage = "https://aluminatiai.com"
Documentation = "https://aluminatiai.com/docs/agent"
Repository = "https://github.com/AgentMulder404/AluminatAI"
"Bug Tracker" = "https://github.com/AgentMulder404/AluminatAI/issues"
[tool.setuptools]
packages = [
"aluminatiai",
"aluminatiai.attribution",
"aluminatiai.integrations",
"aluminatiai.schedulers",
"aluminatiai.efficiency",
]
[tool.setuptools.package-dir]
aluminatiai = "agent"
"aluminatiai.attribution" = "agent/attribution"
"aluminatiai.integrations" = "agent/integrations"
"aluminatiai.schedulers" = "agent/schedulers"
"aluminatiai.efficiency" = "agent/efficiency"
[tool.setuptools.package-data]
"aluminatiai" = ["*.txt", "*.md"]