# L4T arm64 (JetPack 7 / sbsa cu130) install spec for the vllm backend.
#
# Why this file exists, and why only the l4t13 BUILD_PROFILE consumes it:
#
# pypi.jetson-ai-lab.io hosts the L4T-specific torch / vllm / flash-attn
# wheels we need on aarch64 + cuda13, but it ALSO transparently proxies the
# rest of PyPI through `/+f/<sha>/<filename>` URLs that 503 frequently. With
# `--extra-index-url` + `--index-strategy=unsafe-best-match` (the historical
# fix in install.sh) uv would pick those proxy URLs for ordinary PyPI
# packages — `anthropic`, `openai`, `propcache`, `annotated-types` — and
# trip on the 503s. See e.g. CI run 25212201349 (anthropic-0.97.0).
#
# `explicit = true` on the index makes uv consult the L4T mirror ONLY for
# packages mapped under [tool.uv.sources]. Everything else goes to PyPI.
# This breaks the historical 503 path without losing access to the L4T
# wheels we actually need from there.
#
# `uv pip install -r requirements.txt` does NOT honor [tool.uv.sources]
# (sources are project-mode only, not pip-compat mode), so install.sh's
# l4t13 branch invokes `uv pip install --requirement pyproject.toml`
# directly. Other BUILD_PROFILEs continue to use the requirements-*.txt
# pipeline through libbackend.sh's installRequirements and never read
# this file.
[project]
name = "localai-vllm-l4t13"
version = "0.0.0"
requires-python = ">=3.12,<3.13"
dependencies = [
    # Mirror of requirements.txt — kept in sync manually for now since the
    # l4t13 path bypasses installRequirements (see install.sh).
    "grpcio==1.80.0",
    "protobuf",
    "certifi",
    "setuptools",
    "pillow",
    "charset-normalizer>=3.4.0",
    "chardet",
    # L4T-specific accelerator stack (sourced from jetson-ai-lab below).
    "torch",
    "torchvision",
    "torchaudio",
    "flash-attn",
    "vllm",
    # PyPI-resolvable packages that complete the runtime — accelerate,
    # transformers, bitsandbytes carry their own wheels for aarch64.
    "accelerate",
    "transformers",
    "bitsandbytes",
]

[[tool.uv.index]]
name = "jetson-ai-lab"
url = "https://pypi.jetson-ai-lab.io/sbsa/cu130"
explicit = true

[tool.uv.sources]
torch = { index = "jetson-ai-lab" }
torchvision = { index = "jetson-ai-lab" }
torchaudio = { index = "jetson-ai-lab" }
flash-attn = { index = "jetson-ai-lab" }
vllm = { index = "jetson-ai-lab" }