[project]
name = "mnemosyne"
version = "0.1.0"
description = "Object-addressed context memory for LLM agents — multi-fidelity compression with goal-aware retrieval"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
    # --- Inherited from Pichay (proxy foundation) ---
    "httpx>=0.27",
    "fastapi>=0.116.0",
    "uvicorn>=0.35.0",
    "anthropic>=0.84.0",
    "numpy>=2.2.0",

    # --- Mnemosyne additions ---
    # PostgreSQL + vector search (backing store)
    "asyncpg>=0.30.0",
    "pgvector>=0.3.6",

    # Embeddings (semantic search, goal detection)
    "sentence-transformers>=3.4.0",

    # Config
    "tomli>=2.0.0; python_version < '3.11'",

    # Telemetry (optional, from Pichay)
    "prometheus-client>=0.23.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.25.0",
    "ruff>=0.9.0",
]
# Pichay analysis tools (not needed for proxy operation)
analysis = [
    "matplotlib>=3.10.0",
    "polars>=1.38.0",
    "dask>=2024.1.0",
    "flask>=3.0",
]

[project.scripts]
mnemosyne = "mnemosyne.gateway:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/mnemosyne"]

[tool.ruff]
target-version = "py312"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]

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