[Question] Is there a build_uv.sh to build the environment with uv?

Your Question

I use uv to manage my environment, and I write a bash script to build with uv.
Will slime add a build_uv.sh?
My script:

#!/bin/bash

set -ex

export SGLANG_COMMIT="bbe9c7eeb520b0a67e92d133dfc137a3688dc7f2"
export MEGATRON_COMMIT="3714d81d418c9f1bca4594fc35f9e8289f652862"

export BASE_DIR=${BASE_DIR:-"/root"}
cd $BASE_DIR

# create venv with uv
uv venv slime-venv --python 3.12
source $BASE_DIR/slime-venv/bin/activate

# CUDA_HOME should point to system CUDA 12.9 on the target B200 machine
# Adjust this path if your CUDA installation is elsewhere
export CUDA_HOME=${CUDA_HOME:-"/usr/local/cuda-12.9"}
export PATH="$CUDA_HOME/bin:$PATH"
export LD_LIBRARY_PATH="$CUDA_HOME/lib64:$LD_LIBRARY_PATH"

# prevent installing cuda 13.0 for sglang
uv pip install cuda-python==13.1.0
uv pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu129

# install sglang
if [ ! -d "$BASE_DIR/sglang" ]; then
  git clone https://github.com/sgl-project/sglang.git
fi
cd $BASE_DIR/sglang
git checkout ${SGLANG_COMMIT}
# Install the python packages
uv pip install wheel
uv pip install -e "python[all]"

uv pip install cmake ninja

# flash attn
# the newest version megatron supports is v2.7.4.post1
MAX_JOBS=64 uv pip install -v flash-attn==2.7.4.post1 --no-build-isolation

uv pip install git+https://github.com/ISEEKYAN/mbridge.git@89eb10887887bc74853f89a4de258c0702932a1c --no-deps
uv pip install --no-build-isolation "transformer_engine[pytorch]==2.10.0"
uv pip install flash-linear-attention==0.4.1

uv pip install pip
NVCC_APPEND_FLAGS="--threads 4" \
  pip -v install --disable-pip-version-check --no-cache-dir \
  --no-build-isolation \
  --config-settings "--build-option=--cpp_ext --cuda_ext --parallel 8" git+https://github.com/NVIDIA/apex.git@10417aceddd7d5d05d7cbf7b0fc2daad1105f8b4

uv pip install poetry pybind11
uv pip install git+https://github.com/fzyzcjy/torch_memory_saver.git@dc6876905830430b5054325fa4211ff302169c6b --no-cache --reinstall-package torch-memory-saver
uv pip install git+https://github.com/fzyzcjy/Megatron-Bridge.git@dev_rl --no-build-isolation
uv pip install "nvidia-modelopt[torch]>=0.37.0" --no-build-isolation

# megatron
cd $BASE_DIR
if [ ! -d "$BASE_DIR/Megatron-LM" ]; then
  git clone https://github.com/NVIDIA/Megatron-LM.git --recursive
fi
cd Megatron-LM/ && git checkout ${MEGATRON_COMMIT}
uv pip install -e .

# install slime and apply patches
if [ ! -d "$BASE_DIR/slime" ]; then
  cd $BASE_DIR
  git clone https://github.com/THUDM/slime.git
  cd slime/
  export SLIME_DIR=$BASE_DIR/slime
  uv pip install -e .
else
  export SLIME_DIR=$BASE_DIR/slime
  cd $SLIME_DIR
  uv pip install -e .
fi

# https://github.com/pytorch/pytorch/issues/168167
uv pip install nvidia-cudnn-cu12==9.16.0.29
uv pip install "numpy<2"

# apply patch
cd $BASE_DIR/sglang
git apply $SLIME_DIR/docker/patch/v0.5.9/sglang.patch
cd $BASE_DIR/Megatron-LM
git apply $SLIME_DIR/docker/patch/v0.5.9/megatron.patch

What I've Tried

• I browse the repo but find no build_uv.sh

Environment (if relevant)

• slime version:
• Python version:
• PyTorch version:
• CUDA/ROCm version:
• GPU type and count:
• OS:

Additional Context

No response

Pre-submission Checklist

• I have read the CONTRIBUTING.md and understand the collaboration scope.
• I have read the documentation and FAQ and my question is not answered there.
• I have searched for existing issues and my question has not been asked before.

Start by reviewing the repository's existing environment and build entry points, especially the docker/patch/v0.5.9 paths named in the script, then compare them with the proposed uv-based setup. A complete change would establish whether a maintained build_uv.sh belongs in the project and make the supported uv environment reproducible.