atropos/pyproject.toml
2026-03-09 23:17:01 -05:00

81 lines
1.6 KiB
TOML

[project]
name = "atroposlib"
version = "0.4.0"
description = "Atropos: An Environment and Rollout handler for LLM RL"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"transformers",
"datasets",
"openai",
"aiohttp",
"tqdm",
"fastapi",
"uvicorn[standard]",
"tenacity",
"markdown",
"numpy",
"wandb",
"gymnasium",
"math-verify>=0.8.0",
"jinja2",
"nltk",
"rich",
"polars",
"aiofiles",
"jsonlines",
"pydantic-cli",
"hf_transfer",
]
[project.scripts]
run-api = "atroposlib.cli.run_api:main"
inference-node-wandb-watcher = "atroposlib.cli.inference_node_wandb_watcher:main"
view-run = "atroposlib.cli.view_run:main"
view-run-multimodal = "atroposlib.cli.view_run_multimodal:main"
atropos-sft-gen = "atroposlib.cli.sft:main"
atropos-dpo-gen = "atroposlib.cli.dpo:main"
atropos-grpo = "example_trainer.grpo:main"
atropos-grpo-run = "example_trainer.run:main"
[project.optional-dependencies]
all = [
"atroposlib[dev,examples,example_trainer]"
]
rewardfns = [
"torch"
]
example_trainer = [
"atroposlib[rewardfns, openai_endpoint]",
"accelerate",
"peft",
"requests",
]
openai_endpoint = [
"vllm",
]
dev = [
"pytest",
"pytest-asyncio",
"pre-commit",
"black",
"flake8",
"isort",
"mypy",
"rich",
]
examples = [
"gradio",
"atroposlib[rewardfns]",
"langdetect"
]
verifiers = [
"verifiers==0.1.9.post2"
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["atroposlib", "example_trainer"]