Rebase adaptation: sync Dockerfile.ci/deps with upstream vLLM before rebase

docker/Dockerfile.ci

@@ -20,7 +20,7 @@ RUN apt-get update && \
 # (e.g. +gaeee7ef93.cu130) which pip/uv refuse to install from a PEP 503 package index.
 # The cu130 wheel index lives at /<commit>/cu130/vllm/ but the actual wheel files
 # are stored at the top level /<commit>/<wheel>.
-ENV VLLM_PRECOMPILED_WHEEL_COMMIT=ee0da84ab9e04ac7610e28580af62c365e898389
+ENV VLLM_PRECOMPILED_WHEEL_COMMIT=2dfaae752b4db0d43cfc0715c780e33be030d0f1
 # Ensure CUDA library path is in LD_LIBRARY_PATH so bitsandbytes' precompiled
 # C extension can find libnvJitLink.so.13 (CUDA 13.x JIT linker) at import time.
 # The base vLLM image has bitsandbytes pre-installed; without this env var,
@@ -42,12 +42,12 @@ RUN VLLM_WHEEL_URL=$(python3 -c "import urllib.request,re; \
 RUN uv pip install --system ".[dev]"
 
 RUN uv pip install --system --upgrade \
-        "flashinfer-python==0.6.12" \
-        "flashinfer-cubin==0.6.12" \
+        "flashinfer-python==0.6.13" \
+        "flashinfer-cubin==0.6.13" \
         "numpy==2.2.6"
 
 RUN uv pip install --system --upgrade \
-    "flashinfer-jit-cache==0.6.12" \
+    "flashinfer-jit-cache==0.6.13" \
     --index-url https://flashinfer.ai/whl/cu130
 
 # Force-reinstall torch AFTER flashinfer, because flashinfer --upgrade pulls in