[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "breathe-memory"
version = "0.1.0"
description = "Context optimization and associative memory for LLM applications"
readme = "README.md"
license = { text = "Apache-2.0" }
authors = [{ name = "Kenaz GmbH", email = "hello@kenaz.ai" }]
keywords = ["llm", "context", "memory", "rag", "compression", "ai"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.11"
dependencies = [
    "typing-extensions>=4.0",
]

[project.optional-dependencies]
# PostgreSQL backend for Memory Nexus
pg = [
    "asyncpg>=0.29",
    "sentence-transformers>=3.0",
    "numpy>=1.26",
]

# Apple Silicon local model extractor (MLX)
mlx = [
    "mlx>=0.16",
    "mlx-lm>=0.16",
]

# Anthropic LLM client for GraphCompactor
anthropic = [
    "anthropic>=0.40",
]

# OpenAI LLM client for GraphCompactor
openai = [
    "openai>=1.0",
]

# Everything
all = [
    "breathe-memory[pg,anthropic]",
]

# Development
dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.23",
    "httpx>=0.27",
    "ruff>=0.4",
    "mypy>=1.10",
]

[project.urls]
Homepage = "https://github.com/tkenaz/breathe-memory"
Documentation = "https://github.com/tkenaz/breathe-memory#readme"
Issues = "https://github.com/tkenaz/breathe-memory/issues"

[tool.setuptools.packages.find]
include = ["breathe*", "memory_nexus*"]

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]

[tool.ruff]
line-length = 100
target-version = "py311"

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

[tool.mypy]
python_version = "3.11"
strict = false
ignore_missing_imports = true