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

[project]
name = "honest-env"
version = "0.1.0"
description = "HONEST — Honesty-Optimised and Normalized Environment for Self-Triage. An OpenEnv calibration benchmark for LLM agents trained to report calibrated confidence."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "BSD-3-Clause" }
authors = [
    { name = "HONEST-Env Contributors" },
]
keywords = ["openenv", "calibration", "rl", "grpo", "mcp", "honesty", "llm"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: BSD 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",
]
dependencies = [
    # Core OpenEnv runtime (FastAPI server + HTTP client types)
    "openenv-core>=0.2.1",
    # Web stack
    "fastapi",
    "uvicorn[standard]",
    "pydantic>=2.0",
    # Verifiers and dataset ingestion
    "datasets>=2.21",
    "sympy>=1.13",
    "python-constraint>=1.4",
    "z3-solver>=4.13",
    "antlr4-python3-runtime>=4.11",
    # Numerics + plotting (used by eval/, training/, bin/plot_training_curves.py)
    "numpy",
    "matplotlib",
    "seaborn",
    "scikit-learn",
    # MCP deployment wrapper
    "mcp>=1.0",
]

[project.optional-dependencies]
# Pulled in only on the GPU training box. Kept out of the base server
# image so the OpenEnv container stays small.
training = [
    "torch",
    "transformers>=4.45",
    "trl>=0.21",
    "peft>=0.12",
    "accelerate>=0.33",
    "bitsandbytes",
    "deepspeed",
    "wandb",
    "unsloth",
]
dev = [
    "pytest>=8.0.0",
    "pytest-asyncio",
    "pytest-cov>=4.0.0",
    "httpx",
    "ruff",
]

[project.urls]
Homepage = "https://github.com/Rushhaabhhh/HONEST-RL-Calibrator"
Repository = "https://github.com/Rushhaabhhh/HONEST-RL-Calibrator"
Documentation = "https://github.com/Rushhaabhhh/HONEST-RL-Calibrator/blob/main/docs/RUNBOOK.md"

[project.scripts]
# Server entry point — enables: `uv run --project . server` and `python -m server.app`
server = "server.app:main"
# Trained-model MCP wrapper — enables: `honest-mcp` after `pip install .`
honest-mcp = "mcp_server.__main__:main"

[tool.setuptools]
include-package-data = true

[tool.setuptools.packages.find]
where = ["."]
include = [
    "server*",
    "models*",
    "client*",
    "data*",
    "eval*",
    "training*",
    "mcp_server*",
]
exclude = [
    "tests*",
    "venv*",
    ".venv*",
    "docs*",
]

[tool.pytest.ini_options]
testpaths = ["tests", "data/tests"]
asyncio_mode = "auto"
filterwarnings = [
    "ignore::DeprecationWarning",
    "ignore::PendingDeprecationWarning",
]

[tool.ruff]
line-length = 100
target-version = "py310"
extend-exclude = ["venv", ".venv", "build", "dist"]

[tool.ruff.lint]
select = ["E", "F", "W", "I"]
ignore = ["E501"]