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10 changes: 5 additions & 5 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,7 @@ skyrl-train = [

fsdp = [
"skyrl[skyrl-train]",
"vllm==0.23.0; sys_platform == 'linux'",
"vllm==0.24.0; sys_platform == 'linux'",
"vllm-router; sys_platform == 'linux'",
# The `nixl` shim provides that namespace and dispatches to `nixl_cu12`.
# `nixl-cu12` ships the `nixl_cu12` module, but vLLM imports `nixl._api`.
Expand All @@ -129,7 +129,7 @@ megatron = [
"flash-linear-attention; sys_platform == 'linux'",
"causal-conv1d; sys_platform == 'linux'",
"mamba-ssm>=2.3.0; sys_platform == 'linux'",
"vllm==0.23.0; sys_platform == 'linux'",
"vllm==0.24.0; sys_platform == 'linux'",
"vllm-router; sys_platform == 'linux'",
# The `nixl` shim provides that namespace and dispatches to `nixl_cu12`.
# `nixl-cu12` ships the `nixl_cu12` module, but vLLM imports `nixl._api`.
Expand Down Expand Up @@ -236,7 +236,7 @@ override-dependencies = [
# so it doesn't pull the CUDA-13 stack and bump torch off the cu12 pin.
"nixl-cu13; sys_platform == 'never'",
# Megatron-Bridge pins flashinfer-python==0.6.8.post1, which conflicts with
# our exact 0.6.12 pin (the version vLLM 0.23.0 requires). Override it to our version.
# our exact 0.6.12 pin (the version vLLM 0.24.0 requires). Override it to our version.
"flashinfer-python==0.6.12; sys_platform == 'linux' and platform_machine == 'x86_64'",
"flashinfer-jit-cache==0.6.12; sys_platform == 'linux' and platform_machine == 'x86_64'",
"flashinfer-cubin==0.6.12; sys_platform == 'linux' and platform_machine == 'x86_64'",
Expand Down Expand Up @@ -281,14 +281,14 @@ explicit = true

[[tool.uv.index]]
name = "vllm-cu129"
url = "https://wheels.vllm.ai/0.23.0/cu129"
url = "https://wheels.vllm.ai/0.24.0/cu129"
explicit = true

[tool.uv.sources]
skyrl-gym = { path = "./skyrl-gym", editable = true }
# Match torch's CUDA variant (cu128).
flashinfer-jit-cache = { index = "flashinfer-cu128", marker = "sys_platform == 'linux'" }
# vllm 0.23.0's PyPI wheel needs CUDA 13 (libcudart.so.13); the cu129 wheel
# vllm 0.24.0's PyPI wheel needs CUDA 13 (libcudart.so.13); the cu129 wheel
# links libcudart.so.12, which torch+cu128 supplies.
vllm = [
{ index = "vllm-cu129", marker = "sys_platform == 'linux'" },
Expand Down
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