diff --git a/Dockerfile b/Dockerfile
index 6fd08aa..c9a3c5f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,18 +1,18 @@
 ############################################################
 #  Stage-0: 构建依赖轮子（PyTorch + SGLang + sgl_kernel）   #
 ############################################################
-ARG CUDA_VERSION=12.8.1                     # 仅 12.6.1 / 12.8.1 测过
+ARG CUDA_VERSION=12.8.1
 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS builder
 
 # ---- Python 环境 ----
 RUN apt-get update && \
-    apt-get install -y --no-install-recommends python3 python3-pip && \
+    apt-get install -y --no-install-recommends python3 python3-pip python3-distutils && \
     ln -sf /usr/bin/python3 /usr/bin/python && \
-    python -m pip install --no-cache-dir --upgrade pip
+    python -m pip install --no-cache-dir --upgrade pip setuptools wheel html5lib six
 
 # ---- PyTorch / torchvision / SGLang / sgl_kernel ----
-ARG TORCH_VER=2.7.1                         # cu128 轮子从 2.7.1 起提供
-ARG TV_VER=0.22.1                           # 与 torch-2.7.1 对齐
+ARG TORCH_VER=2.7.1
+ARG TV_VER=0.22.1
 RUN case "$CUDA_VERSION" in \
         12.6.1) CUINDEX=126 ;; \
         12.8.1) CUINDEX=128 ;; \
@@ -22,11 +22,15 @@ RUN case "$CUDA_VERSION" in \
         torch==${TORCH_VER}+cu${CUINDEX} \
         torchvision==${TV_VER}+cu${CUINDEX} \
         --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} && \
-    python -m pip install --no-cache-dir sglang==0.4.8.post1 && \
-    # NCCL 2.27——CUDA 12.x 官方推荐
-    python -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
-    # ✅ 官方预编译，带 cp310 & cu128 标签；不再手写直链
-    python -m pip install --no-cache-dir sgl-kernel==0.0.2.post17
+    python -m pip install --no-cache-dir \
+        sglang==0.4.8.post1 \
+        sgl-kernel==0.0.2.post17 \
+        nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps && \
+    # ✅ 补全依赖（必须）
+    python -m pip install --no-cache-dir \
+        pydantic psutil pyzmq pynvml transformers==4.48.3 uvicorn fastapi && \
+    # ✅ 测试模块完整性
+    python -c "import sglang, torch, pydantic, transformers, sgl_kernel"
 
 ############################################################
 #  Stage-1: 生成最小运行镜像                                #
@@ -42,14 +46,14 @@ RUN apt-get update && \
     ln -sf /usr/bin/python3 /usr/bin/python && \
     rm -rf /var/lib/apt/lists/*
 
-# ---- 拷贝依赖 ----
+# ---- 拷贝 Python 包和入口 ----
 COPY --from=builder /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages
 COPY --from=builder /usr/local/bin /usr/local/bin
 
-# ---- 拷贝模型（改成你的实际路径即可） ----
+# ---- 拷贝模型（路径可换） ----
 COPY ./Alibaba/Qwen3-8B /root/.cradle/Alibaba/Qwen3-8B
 
-# ---- 端口 & 启动 ----
+# ---- 启动服务 ----
 EXPOSE 30000
 CMD ["python3", "-m", "sglang.launch_server", \
      "--host", "0.0.0.0", \