pyproject.toml

# CodeRef-AI 打包配置（v4.9.2 新增）：支持 `pip install .` 规范化安装与依赖声明。
# 与 requirements.txt 维护同一份依赖清单；要求 pip>=21.3 / setuptools>=61。
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "coderef-ai"
version = "4.9.6"
description = "静态图驱动的 LLM 代码审计工具 —— 非编程人员也可验证 AI 项目是否按期望执行、架构是否健康、文档是否可信"
readme = "README.md"
license = { text = "MIT" }
authors = [{ name = "CodeRef Team" }]
keywords = ["code-audit", "llm", "static-analysis", "audit", "mcp"]
requires-python = ">=3.10"
dependencies = [
    "openai>=1.10.0",
    "requests>=2.31.0",
    "numpy>=1.26.0",
    "pyyaml>=6.0.1",
    "loguru>=0.7.2",
    "packaging>=23.0",
]

[project.optional-dependencies]
# 多语言高级解析（可选，未安装时 code_analyzer 自动降级到标准库 ast）
lang = [
    "tree-sitter==0.20.4; python_version < '3.13'",
    "tree-sitter-languages>=1.10.0; python_version < '3.13'",
]

[project.scripts]
# 以 MCP stdio server 方式启动（等价 `python -m core.mcp_server`）
coderef-mcp = "core.mcp_server:main"

[tool.setuptools.packages.find]
# 自动发现含 __init__.py 的包（约束在 config*/core*，未来 core 下新增子包无需手工补列）
include = ["config*", "core*"]
exclude = ["tests*", "samples*", "workspace*", "*.tests"]

[tool.setuptools.package-data]
config = ["*.json"]