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d02bacd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | [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/**"]
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