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+FROM node:22-slim
+
+# 1. 基础依赖补全
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git openssh-client build-essential python3 python3-pip curl wget \
+    g++ make ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+# 2. 安装 HF 数据交互工具
+RUN pip3 install --no-cache-dir huggingface_hub --break-system-packages
+
+# 3. 构建环境与 Git 协议优化
+RUN update-ca-certificates && \
+    git config --global http.sslVerify false && \
+    git config --global url."https://github.com/".insteadOf ssh://git@github.com/
+
+# 4. OpenClaw 核心安装
+RUN npm install -g openclaw@latest --unsafe-perm
+
+# 5. 环境变量预设
+ENV PORT=7860 \
+    OPENCLAW_GATEWAY_MODE=local \
+    HOME=/root
+
+# 6. Python 同步引擎 (sync.py)
+RUN echo 'import os, sys, tarfile\n\
+from huggingface_hub import HfApi, hf_hub_download\n\
+from datetime import datetime, timedelta\n\
+api = HfApi()\n\
+repo_id = os.getenv("HF_DATASET")\n\
+token = os.getenv("HF_TOKEN")\n\
+def restore():\n\
+    try:\n\
+        files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token)\n\
+        now = datetime.now()\n\
+        for i in range(5):\n\
+            day = (now - timedelta(days=i)).strftime("%Y-%m-%d")\n\
+            name = f"backup_{day}.tar.gz"\n\
+            if name in files:\n\
+                path = hf_hub_download(repo_id=repo_id, filename=name, repo_type="dataset", token=token)\n\
+                with tarfile.open(path, "r:gz") as tar: tar.extractall(path="/root/.openclaw/")\n\
+                print(f"Success: Restored from {name}")\n\
+                return True\n\
+    except Exception as e: print(f"Restore Error: {e}")\n\
+def backup():\n\
+    try:\n\
+        day = datetime.now().strftime("%Y-%m-%d")\n\
+        name = f"backup_{day}.tar.gz"\n\
+        with tarfile.open(name, "w:gz") as tar:\n\
+            if os.path.exists("/root/.openclaw/sessions"): tar.add("/root/.openclaw/sessions", arcname="sessions")\n\
+            tar.add("/root/.openclaw/openclaw.json", arcname="openclaw.json")\n\
+        api.upload_file(path_or_fileobj=name, path_in_repo=name, repo_id=repo_id, repo_type="dataset", token=token)\n\
+        print(f"Backup {name} Success.")\n\
+    except Exception as e: print(f"Backup Error: {e}")\n\
+if __name__ == "__main__":\n\
+    if len(sys.argv) > 1 and sys.argv[1] == "backup": backup()\n\
+    else: restore()' > /usr/local/bin/sync.py
+
+# 7. 启动控制逻辑
+RUN echo "#!/bin/bash\n\
+set -e\n\
+mkdir -p /root/.openclaw/sessions\n\
+\n\
+# 阶段 3: 执行启动前恢复\n\
+python3 /usr/local/bin/sync.py restore\n\
+\n\
+# 处理地址逻辑\n\
+CLEAN_BASE=\"https://api-inference.huggingface.co/models/\$MODEL/v1\"\n\
+\n\
+# 阶段 2: 生成网关与模型配置\n\
+cat > /root/.openclaw/openclaw.json <<EOF\n\
+{\n\
+  \"models\": {\n\
+    \"providers\": {\n\
+      \"huggingface\": {\n\
+        \"baseUrl\": \"\$CLEAN_BASE\", \"apiKey\": \"\$HF_TOKEN\", \"api\": \"openai-completions\",\n\
+        \"models\": [{ \"id\": \"\$MODEL\", \"name\": \"\$MODEL\", \"contextWindow\": 128000 }]\n\
+      }\n\
+    }\n\
+  },\n\
+  \"agents\": { \"defaults\": { \"model\": { \"primary\": \"huggingface/\$MODEL\" } } },\n\
+  \"gateway\": {\n\
+    \"mode\": \"local\", \"bind\": \"lan\", \"port\": \$PORT,\n\
+    \"trustedProxies\": [\"0.0.0.0/0\", \"10.0.0.0/8\", \"172.16.0.0/12\", \"192.168.0.0/16\"],\n\
+    \"auth\": { \"mode\": \"token\", \"token\": \"\$OPENCLAW_GATEWAY_PASSWORD\" },\n\
+    \"controlUi\": { \"allowInsecureAuth\": true }\n\
+  }\n\
+}\n\
+EOF\n\
+\n\
+# 增量备份循环 (每 6 小时)\n\
+(while true; do sleep 21600; python3 /usr/local/bin/sync.py backup; done) &\n\
+\n\
+openclaw doctor --fix\n\
+exec openclaw gateway run --port \$PORT\n\
+" > /usr/local/bin/start-openclaw && chmod +x /usr/local/bin/start-openclaw
+
+EXPOSE 7860
+CMD ["/usr/local/bin/start-openclaw"]