[project]
name = "ray-serve-apps"
version = "1.0.0"
description = "Ray Serve deployments for GPU-shared AI inference"
requires-python = ">=3.11"
license = { text = "MIT" }
authors = [{ name = "Davies Tech Labs" }]

dependencies = [
    # Ray Serve
    "ray[serve]>=2.53.0",
    
    # HTTP client
    "httpx>=0.27.0",
    
    # Numerical computing
    "numpy>=1.26.0",
]

[project.optional-dependencies]
# LLM inference (for vLLM deployments)
llm = [
    "vllm>=0.6.0",
]

# Embeddings and reranking
embeddings = [
    "sentence-transformers>=2.2.0",
]

# Speech-to-text
stt = [
    "faster-whisper>=1.0.0",
]

# Text-to-speech  
tts = [
    "TTS>=0.22.0",
]

# Development
dev = [
    "pytest>=8.0.0",
    "pytest-asyncio>=0.23.0",
    "ruff>=0.4.0",
]

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

[tool.hatch.build.targets.wheel]
# Map the ray-serve directory to ray_serve package name
packages = ["ray_serve"]

[tool.hatch.build.targets.sdist]
include = [
    "ray_serve/**/*.py",
    "ray_serve/py.typed",
]

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

[tool.ruff.lint]
select = ["E", "F", "I", "W", "UP", "B", "C4", "SIM"]
ignore = ["E501"]

[tool.ruff.lint.isort]
known-first-party = ["ray_serve"]
# trigger