Create Dockerfile

Dockerfile

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+FROM node:22-slim
+
+# 1. Install system dependencies, python, and browser requirements
+RUN apt-get update && apt-get install -y \
+    git \
+    curl \
+    zip \
+    unzip \
+    tar \
+    xz-utils \
+    bzip2 \
+    python3 \
+    python3-pip \
+    libglib2.0-0 \
+    libnss3 \
+    libnspr4 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libcups2 \
+    libdrm2 \
+    libxkbcommon0 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxrandr2 \
+    libgbm1 \
+    libgtk-3-0 \
+    libasound2 \
+    libpango-1.0-0 \
+    libcairo2 \
+    rsync \
+    && npx playwright install-deps chromium \
+    && rm -rf /var/lib/apt/lists/*
+
+# 2. Install OpenClaw and browser tools
+RUN npm install -g openclaw@latest agent-browser pdfnano
+
+# 3. Install Hugging Face Hub (Python)
+RUN pip3 install --no-cache-dir --break-system-packages huggingface_hub
+
+# 4. Install Chromium and link it for OpenClaw
+RUN agent-browser install chromium && \
+    ln -s $(find /root/.cache/ms-playwright -name chrome -type f | grep -v "shell" | head -n 1) /usr/bin/google-chrome
+
+# 5. Create directory structure
+RUN mkdir -p /root/.openclaw/agents/main/agent \
+    /root/.openclaw/agents/main/sessions \
+    /root/.openclaw/credentials \
+    /root/.openclaw/workspace
+
+ENV PORT=7860
+ENV OPENCLAW_GATEWAY_MODE=local
+EXPOSE 7860
+
+# 6. Startup script
+RUN cat > /usr/local/bin/start-openclaw << 'EOF'
+#!/bin/bash
+set -e
+
+OPENCLAW_DIR="/root/.openclaw"
+HF_TMP="/tmp/hf-restore"
+
+# DNS
+echo "nameserver 1.1.1.1" > /etc/resolv.conf 2>/dev/null || true
+echo "nameserver 8.8.8.8" >> /etc/resolv.conf 2>/dev/null || true
+
+# --- RESTORE FROM HF DATASET ---
+if [[ -n "$HF_DATASET_TOKEN" && -n "$HF_DATASET" ]]; then
+  echo "[HF] Restoring dataset: $HF_DATASET"
+
+  rm -rf "$HF_TMP"
+  mkdir -p "$HF_TMP"
+
+  python3 << 'EOP'
+import os
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id=os.environ["HF_DATASET"],
+    repo_type="dataset",
+    local_dir="/tmp/hf-restore",
+    allow_patterns=["data/**"],
+    token=os.environ["HF_DATASET_TOKEN"]
+)
+print("[HF] Download complete")
+EOP
+
+  # CRITICAL FIX: merge data/* into live OpenClaw dir
+  if [ -d "$HF_TMP/data" ]; then
+    rsync -a "$HF_TMP/data/" "$OPENCLAW_DIR/"
+    echo "[HF] Data merged into OpenClaw workspace"
+  fi
+fi
+
+# --- GENERATE CONFIG ONLY IF MISSING ---
+if [ ! -f "$OPENCLAW_DIR/openclaw.json" ]; then
+  echo "[CFG] Generating initial openclaw.json"
+
+  if [ -z "$GEMINI_APIKEY" ]; then
+    echo "ERROR: GEMINI_APIKEY not set"
+    exit 1
+  fi
+
+cat > "$OPENCLAW_DIR/openclaw.json" << EOC
+{
+  "env": {
+    "GOOGLE_API_KEY": "${GEMINI_APIKEY}",
+    "GEMINI_API_KEY": "${GEMINI_APIKEY}",
+    "GOOGLE_GENERATIVE_AI_API_KEY": "${GEMINI_APIKEY}",
+    "TELEGRAM_BOT_TOKEN": "${TELEGRAM_BOT_TOKEN}"
+  },
+  "gateway": {
+    "mode": "local",
+    "bind": "lan",
+    "port": 7860,
+    "trustedProxies": ["0.0.0.0/0"],
+    "auth": {
+      "mode": "token",
+      "token": "${OPENCLAW_GATEWAY_PASSWORD}"
+    },
+    "controlUi": { "allowInsecureAuth": true }
+  },
+  "models": {
+    "providers": {
+      "nvidia": {
+        "baseUrl": "https://integrate.api.nvidia.com/v1",
+        "apiKey": "${NVIDIA_NIM_API_KEY}",
+        "api": "openai-completions",
+        "models": [
+          { "id": "deepseek-ai/deepseek-r1-distill-qwen-7b", "name": "Deepseek R1 Distill Qwen 7b", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "deepseek-ai/deepseek-v3.2", "name": "Deepseek v3.2", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "openai/gpt-oss-120b", "name": "GPT OSS 120b", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "openai/gpt-oss-20b", "name": "GPT OSS 20b", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "qwen/qwen2.5-7b-instruct", "name": "Qwen 2.5 7B Instruct", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "qwen/qwen2.5-coder-32b-instruct", "name": "Qwen 2.5 Coder 32B", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "qwen/qwen2.5-coder-7b-instruct", "name": "Qwen 2.5 Coder 7B", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "mistralai/mistral-large-2-instruct", "name": "Mistral Large 2 Instruct", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "databricks/dbrx-instruct", "name": "DBRX Instruct", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "mistralai/mistral-7b-instruct-v0.3", "name": "Mistral 7B Instruct v0.3", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "minimaxai/minimax-m2.1", "name": "MiniMax M2.1", "contextWindow": 200000, "maxTokens": 8192 },
+          { "id": "z-ai/glm4.7", "name": "GLM 4.7", "contextWindow": 200000, "maxTokens": 8192 }
+        ]
+      }
+    }
+  },
+  "agents": {
+    "defaults": {
+      "model": {
+        "primary": "google/gemini-3-flash-preview",
+        "fallbacks": [
+          "google/gemini-3-pro-preview",
+          "google/gemini-2.0-flash",
+          "google/gemini-2.5-flash",
+          "google/gemini-2.5-pro",
+          "google/gemini-3-flash-preview"
+        ]
+      },
+      "models": {
+        "google/gemini-3-pro-preview": {},
+        "google/gemini-2.0-flash": {},
+        "google/gemini-2.5-flash": {},
+        "google/gemini-2.5-pro": {},
+        "google/gemini-3-flash-preview": {},
+        "nvidia/deepseek-ai/deepseek-r1-distill-qwen-7b": {},
+        "nvidia/deepseek-ai/deepseek-v3.2": {},
+        "nvidia/openai/gpt-oss-120b": {},
+        "nvidia/openai/gpt-oss-20b": {},
+        "nvidia/qwen/qwen2.5-7b-instruct": {},
+        "nvidia/qwen/qwen2.5-coder-32b-instruct": {},
+        "nvidia/qwen/qwen2.5-coder-7b-instruct": {},
+        "nvidia/mistralai/mistral-large-2-instruct": {},
+        "nvidia/mistralai/mistral-7b-instruct-v0.3": {},
+        "nvidia/databricks/dbrx-instruct": {},
+        "nvidia/minimaxai/minimax-m2.1": {},
+        "nvidia/z-ai/glm4.7": {}
+      },
+      "workspace": "/root/.openclaw/workspace",
+      "compaction": { "mode": "safeguard" },
+      "maxConcurrent": 4,
+      "subagents": { "maxConcurrent": 8 }
+    }
+  },
+  "commands": {
+    "native": "auto",
+    "nativeSkills": "auto",
+    "restart": true
+  },
+  "plugins": {
+    "entries": {
+      "telegram": {
+        "enabled": true
+      },
+      "whatsapp": {
+        "enabled": false
+      },
+      "discord": {
+        "enabled": false
+      },
+      "qwen-portal-auth": {
+        "enabled": false
+      }
+    }
+  },
+"channels": {
+    "telegram": {
+      "enabled": true,
+      "allowFrom": ["${TELEGRAM_USER}"]
+    }
+  }
+}
+EOC
+fi
+
+chmod -R 700 "$OPENCLAW_DIR"
+
+# --- BACKUP LOOP (EVERY 5 MINUTES) ---
+if [[ -n "$HF_DATASET_TOKEN" && -n "$HF_DATASET" ]]; then
+  (
+    while true; do
+      sleep 300
+      echo "[HF] Backup running"
+
+      python3 << 'EOP'
+import os
+from huggingface_hub import HfApi
+
+api = HfApi(token=os.environ["HF_DATASET_TOKEN"])
+api.upload_folder(
+    repo_id=os.environ["HF_DATASET"],
+    repo_type="dataset",
+    folder_path="/root/.openclaw",
+    path_in_repo="data",
+    ignore_patterns=[
+    "openclawd.json",
+    "agents/**/sessions/**",
+    "workspace/node_modules/**",
+    "browser/**",
+    "workspace/.cache/**",
+    "*.key",
+    ".env"
+  ]
+)
+print("[HF] Backup complete")
+EOP
+    done
+  ) &
+fi
+
+exec openclaw gateway run --port 7860
+EOF
+
+RUN chmod +x /usr/local/bin/start-openclaw
+CMD ["/usr/local/bin/start-openclaw"]