pyproject.toml

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
# Production runtime deps only. The training notebook (training/cos_grpo_colab.ipynb)
# runs on Colab where torch is pre-installed. To run training locally:
#   pip install torch>=2.0.0
[project]
name = "autodatalab-plus"
version = "0.1.0"
description = "AutoDataLab++ multi-agent company simulation for OpenEnv"
requires-python = ">=3.10"
dependencies = [
    "fastapi>=0.115.0",
    "uvicorn[standard]>=0.30.0",
    "pydantic>=2.7.0",
    "pandas>=2.2.0",
    "numpy>=1.26.0",
    "openai>=1.30.0",
    "python-dotenv>=1.0.1",
    "openenv-core[core]>=0.2.2",
]
[project.optional-dependencies]
dev = [
    "pytest>=8.2.0",
]

[project.scripts]
server = "server.app:main"
autodatalab-plus-server = "server.app:main"

[tool.setuptools]
include-package-data = true
packages = [
    "ceo_brief_env",
    "ceo_brief_env.experts",
    "memory",
    "subenvs",
    "subenvs.autodatalab",
    "subenvs.email",
    "server",
]

[tool.setuptools.package-data]
ceo_brief_env = ["tasks/**/*.csv", "tasks/**/*.json", "fixtures/stooq/*.csv", "fixtures/stooq_long/*.csv"]
memory = ["sops/*.md", "history/*.md", "policies/*.md"]
server = ["static/**"]