vela-demo / pyproject.toml
Heewon Oh
feat: initial release of VELA Framework v1.0.0 - Korean financial market research agent
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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "vela-framework"
version = "1.0.0"
description = "VELA: Domain-Specialized LLM Research Agent for Korean Financial Markets"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{name = "Intrect"},
]
keywords = ["llm", "financial-analysis", "research-agent", "korean-stocks", "chain-of-thought"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Financial and Insurance Industry",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Office/Business :: Financial",
]
dependencies = [
"pydantic>=2.0",
"requests>=2.28",
"python-dotenv>=1.0",
"duckduckgo-search>=4.0",
"beautifulsoup4>=4.12",
]
[project.optional-dependencies]
web = [
"gradio>=5.0",
]
train = [
"torch>=2.0",
"transformers>=4.40",
"peft>=0.10",
"trl>=0.8",
"datasets>=2.18",
"accelerate>=0.28",
"bitsandbytes>=0.43",
]
[project.urls]
Homepage = "https://github.com/intrect/vela-framework"
Repository = "https://github.com/intrect/vela-framework"
[project.scripts]
vela = "vela.agent:main"
[tool.setuptools.packages.find]
include = ["vela*"]
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "W", "I"]
ignore = ["E501"]