pyproject.toml

[project]
name = "arbor"
version = "0.1.0"
description = "Arbor — an autonomous research agent that proposes ideas, edits code, runs experiments, and iterates on a hypothesis tree."
readme = "README.md"
requires-python = ">=3.10"
license = "Apache-2.0"
license-files = ["LICENSE"]
keywords = ["ai", "agent", "autonomous-research", "llm", "experimentation"]
dependencies = [
    "anthropic>=0.52.0",
    "openai>=1.30.0",
    "litellm>=1.55.0",
    "tiktoken>=0.7.0",
    "typer>=0.12.0",
    "rich>=13.0",
    "pyyaml>=6.0",
    "prompt-toolkit>=3.0",
    "pydantic>=2.0",
    "pydantic-settings>=2.0",
]

[project.optional-dependencies]
docs = [
    "mkdocs-material>=9.5",
    "mkdocs-static-i18n>=1.2",
]

[project.scripts]
arbor = "arbor.cli.app:main"
executor = "arbor.executor.main:cli"
coordinator = "arbor.coordinator.main:cli"
run-research = "arbor.run:cli"
review-research = "arbor.review:cli"

[build-system]
requires = ["setuptools>=77.0"]
build-backend = "setuptools.build_meta"

# The code lives in `src/` on disk but is imported as the `arbor`
# package, so we map the package root with `package-dir` and list the
# sub-packages explicitly (auto-discovery can't rename `src/` -> the import
# name). Add new sub-packages here when you create them.
[tool.setuptools]
package-dir = { "arbor" = "src" }
packages = [
    "arbor",
    "arbor.cli",
    "arbor.cli.commands",
    "arbor.cli.intake",
    "arbor.coordinator",
    "arbor.coordinator.tools",
    "arbor.core",
    "arbor.core.llm",
    "arbor.core.tools",
    "arbor.core.tools.web",
    "arbor.events",
    "arbor.events.subscribers",
    "arbor.executor",
    "arbor.plugins",
    "arbor.report",
    "arbor.search_agent",
    "arbor.webui",
]

[tool.setuptools.package-data]
"arbor" = ["skills/*.md"]
"arbor.webui" = ["index.html"]
"arbor.plugins" = ["*.yaml", "*.yml"]