Refactor Dockerfile.ci to streamline package installations by using 'uv pip' consistently for both 'pplx_kernels' and VLLM dependencies, ensuring a more uniform CI environment setup.

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>

docker/Dockerfile.ci

@@ -24,9 +24,9 @@ RUN uv pip install --system --upgrade --force-reinstall --prerelease=allow vllm
 RUN uv pip uninstall --system nvidia-cublas-cu12
 # Install vllm-omni into the same uv-managed Python environment used by the base image.
 # Use bash -c so that $(python3 -c ...) is expanded inside the container.
-RUN uv pip install --python "$(python3 -c 'import sys; print(sys.executable)')" --no-cache-dir ".[dev]"
+RUN uv pip install --system --no-cache-dir ".[dev]"
 
-RUN pip install --system --upgrade --force-reinstall "pplx_kernels"
+RUN uv pip install --system --upgrade --force-reinstall "pplx_kernels"
 
 RUN /bin/bash -c 'FLASHINFER_CUDA_TAG="$(python3 -c "import torch; print((torch.version.cuda or \"12.4\").replace(\".\", \"\"))")" && \
     uv pip install --system --upgrade --force-reinstall \