pyproject.toml

[project]
name = "openapi-chatbotui"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.10,<3.14"  # Restricted upper bound to avoid future Python 3.14+ compatibility issues with some wheels
dependencies = [
    "fastapi>=0.128.0",
    "ipykernel>=7.1.0",
    "langchain==0.3.27",
    "langchain-community>=0.3.31",
    "langchain-openai>=0.3.35",
    "langchain-qdrant>=0.2.1",
    "langfuse>=3.6.2",
    "langgraph>=0.6.10",
    "lark>=1.3.0",
    "llama-index>=0.13.6",
    "llama-index-llms-openai>=0.5.4",
    "markitdown>=0.1.3",
    "openai>=1.106.1",
    "pydantic>=2.12.5",
    "python-dotenv>=1.1.1",
    "qdrant-client>=1.15.1",
    "streamlit>=1.50.0",
    "tiktoken>=0.11.0",
    "uvicorn>=0.40.0",
    # Machine Learning - PyTorch family (will be resolved from specific indexes below)
    "torch>=2.4.0",
    "torchvision>=0.19.0",
    "torchaudio>=2.4.0",
    "beautifulsoup4>=4.14.3",
    "markdown>=3.10.1",
    "langchain-huggingface>=0.3.1",
    "sentence-transformers>=5.2.2",
]

# ────────────────────────────────────────────────────────────────
# PyTorch index configuration
# We use explicit indexes to avoid dependency confusion attacks
# and prevent old versions of 'requests' from the PyTorch wheel index
# from conflicting with langchain-community requirements.
# ────────────────────────────────────────────────────────────────

# CUDA 12.4 index (for Linux/Windows with NVIDIA GPU + CUDA 12.4)
[[tool.uv.index]]
name = "pytorch-cu124"
url = "https://download.pytorch.org/whl/cu124"
explicit = true   # Only packages explicitly mapped to this index will use it

# CPU fallback index (for macOS or machines without CUDA)
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

# ────────────────────────────────────────────────────────────────
# Source mapping: tell uv exactly where to fetch torch packages from
# This isolates PyTorch resolution and keeps the rest (requests, langchain, etc.)
# coming from PyPI only.
# ────────────────────────────────────────────────────────────────

[tool.uv.sources]
torch = [
    { index = "pytorch-cu124", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
    { index = "pytorch-cpu",   marker = "sys_platform == 'darwin'" }
]
torchvision = [
    { index = "pytorch-cu124", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
    { index = "pytorch-cpu",   marker = "sys_platform == 'darwin'" }
]
torchaudio = [
    { index = "pytorch-cu124", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
    { index = "pytorch-cpu",   marker = "sys_platform == 'darwin'" }
]

# [tool.uv.workspace]
# members = [
#     "."
# ]

# ────────────────────────────────────────────────────────────────
# Build system configuration
# Required for proper package discovery with src/ layout.
# This enables clean editable installs so imports work reliably
# (e.g. from app.graph.rag_graph import ... or whatever your modules are).
# ────────────────────────────────────────────────────────────────
[build-system]
requires = ["setuptools>=77.0.3"]
build-backend = "setuptools.build_meta"

# ────────────────────────────────────────────────────────────────
# Setuptools configuration for src/ layout
# Tells setuptools where to find the packages (src/app in your case).
# This makes `uv sync` and `uv pip install -e .` create correct .pth files
# for imports.
# ────────────────────────────────────────────────────────────────
[tool.setuptools.packages.find]
where = ["src"]          # look for packages inside the src/ folder
# namespaces = false       # set to true only if you use namespace packages (rare)
# include = ["app*"]     # uncomment if you want to be more explicit (optional)

# Optional: if you ever want the package name to match the project name
# (import openapi_chatbotui.xxx instead of import app.xxx), just rename
# the folder src/app → src/openapi_chatbotui later. For now this config
# works perfectly with your current src/app structure.