pyproject.toml•1.61 kB
[project]
name = "lila-mcp-standalone"
version = "1.0.0"
description = "Standalone Lila MCP Server - Minimal psychological relationship intelligence"
authors = [
{name = "Lila Team", email = "team@lila.dev"}
]
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
# Core MCP Framework
"fastmcp>=2.12.3",
# Database connectivity
"neo4j>=5.15.0",
# LLM integration
"openai>=1.30.0",
"anthropic>=0.25.0",
# Core utilities
"pydantic>=2.6.0",
"pydantic-settings>=2.2.0",
"httpx>=0.27.0",
"aiohttp>=3.9.0",
# Observability (optional)
"logfire>=0.28.0",
# Configuration
"python-dotenv>=1.0.0",
# CLI
"click>=8.1.0",
# Async utilities
"asyncio-mqtt>=0.16.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"black>=24.0.0",
"ruff>=0.3.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.black]
line-length = 120
target-version = ['py312']
[tool.ruff]
line-length = 120
target-version = "py312"
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
# Include all Python files in the current directory as a flat package
include = [
"*.py",
"agents/**/*.py",
"llm/**/*.py",
"graph/**/*.py",
".env"
]
[tool.hatch.build.targets.wheel.sources]
# Map the current directory to the package root
"." = "lila_mcp_standalone"