pyproject.toml

[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"

[project]
name = "llm-quant-benchmark"
version = "0.1.0"
description = "Benchmark LLMs on quantitative-trading tasks: indicator calculation, K-line structure analysis, rule execution, anomaly detection, and JSON compliance."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
keywords = ["llm", "benchmark", "quant", "trading", "evaluation", "agent", "openrouter"]
dependencies = [
    "httpx>=0.27",
    "pyyaml>=6.0",
    "pydantic>=2.0",
    "rich>=13.0",
    "python-dotenv>=1.0",
]

[project.optional-dependencies]
# Only needed to (re)generate benchmark cases from raw K-line data.
generate = ["pandas>=2.0", "numpy>=1.24"]
dev = ["pytest>=8.0"]

[project.scripts]
llm-quant-bench = "llm_quant_bench.cli:main"

[tool.setuptools.packages.find]
include = ["llm_quant_bench*"]