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feat: add notifications for new prs, issues, and new releases of vllm - #289
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Yhlong00
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May 1, 2026
TimPietruskyRunPod
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Jun 2, 2026
Three coupled fixes verified end-to-end on a private fork (TimPietruskyRunPod/worker-vllm v0.1.3 → both hub tests passing): 1. tests.json allowedCudaVersions: 12.x → 13.0 The Dockerfile and hub.json moved to CUDA 13.0 in v2.20.0 (#288, #289), but tests.json was still pinned to 12.5–12.9, so the test pod was scheduled on a GPU with driver < 13.0 and container init failed at the nvidia-container-cli hook with "unsatisfied condition: cuda>=13.0". 2. requirements.txt kernels<0.15 huggingface/kernels v0.15.1 tightened LayerRepository to require a revision or version argument (huggingface/kernels#544). transformers >=5 still constructs LayerRepository(repo_id=..., layer_name=...) without either, so worker import raised ValueError during `from transformers import ...`. 0.14.1 is the last safe release. 3. tests.json timeout 30000 → 300000 vLLM cold start (torch.compile + FlashInfer warmup) on RTX 4090 for SmolLM2-135M takes ~60–70s before the first request can be served. The previous 30s per-test timeout fired before the worker came up, producing "context cancelled or timed out: context deadline exceeded" for every test even when the worker was healthy. 300s gives enough headroom for cold start + the actual inference call. Refs: DR-1161
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