start-openclaw.sh

#!/bin/bash
set -e

BASE_DIR="/home/node/.openclaw"

# ─── 清理函数：退出时强制杀掉所有后台任务 ────────────────────────────────────
cleanup() {
  echo "[cleanup] Received exit signal, cleaning up..."

  if [ -n "$BACKUP_PID" ]; then
    kill "$BACKUP_PID" 2>/dev/null || true
    echo "[cleanup] Backup process $BACKUP_PID stopped."
  fi

  echo "[cleanup] Done."
}

trap cleanup EXIT SIGTERM SIGINT

# ─── 1. 创建必要的目录结构 ────────────────────────────────────────────────────
mkdir -p $BASE_DIR/agents/main/sessions
mkdir -p $BASE_DIR/credentials
mkdir -p $BASE_DIR/sessions
mkdir -p $BASE_DIR/workspace
mkdir -p $BASE_DIR/extensions

# ─── 2. 执行恢复（从 HF Dataset 恢复旧的会话和配置） ─────────────────────────
python3 /app/sync.py restore || true

# ─── 3. 生成 openclaw.json（仅在文件不存在时） ───────────────────────────────
if [ ! -f $BASE_DIR/openclaw.json ]; then
  echo "openclaw.json not found, generating..."
  cat > $BASE_DIR/openclaw.json <<EOF
{
  "meta": {
    "lastTouchedVersion": "2026.3.13",
    "lastTouchedAt": "2026-03-22T14:56:52.442Z"
  },
  "wizard": {
    "lastRunAt": "2026-03-22T14:56:52.442Z",
    "lastRunVersion": "2026.3.13",
    "lastRunCommand": "onboard",
    "lastRunMode": "local"
  },
  "models": {
    "mode": "merge",
    "providers": {
      "custom-nvidia": {
        "baseUrl": "https://integrate.api.nvidia.com/v1",
        "apiKey": "${NVIDIA_API_KEY}",
        "api": "openai-completions",
        "models": [
          {
            "id": "minimaxai/minimax-m2.5",
            "name": "minimaxai/minimax-m2.5 (Custom Provider)",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 8192
          },
          {
            "id": "nvidia/nemotron-3-super-120b-a12b",
            "name": "nvidia/nemotron-3-super-120b-a12b",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          },
          {
            "id": "openai/gpt-oss-120b",
            "name": "openai/gpt-oss-120b",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          },
          {
            "id": "qwen/qwen3.5-397b-a17b",
            "name": "qwen/qwen3.5-397b-a17b",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          }
        ]
      },
      "gemini-auth": {
        "baseUrl": "http://107.173.211.130:3000/gemini-cli-oauth/v1",
        "apiKey": "${GEMINI_API_KEY}",
        "api": "openai-completions",
        "models": [
          {
            "id": "gemini-3-flash-preview",
            "name": "gemini-3-flash-preview",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          },
          {
            "id": "gemini-3.1-flash-lite-preview",
            "name": "gemini-3.1-flash-lite-preview",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          }
        ]
      },
      "qwen-auth": {
        "baseUrl": "http://107.173.211.130:3000/openai-qwen-oauth/v1",
        "apiKey": "${QWEN_API_KEY}",
        "api": "openai-completions",
        "models": [
          {
            "id": "qwen3-coder-flash",
            "name": "qwen3-coder-flash",
            "api": "openai-completions",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 200000,
            "maxTokens": 16384
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": { "primary": "gemini-auth/gemini-3.1-flash-lite-preview" },
      "models": {
        "gemini-auth/gemini-3.1-flash-lite-preview": {},
        "custom-nvidia/minimaxai/minimax-m2.5": {},
        "custom-nvidia/nvidia/nemotron-3-super-120b-a12b": {},
        "custom-nvidia/openai/gpt-oss-120b": {},
        "custom-nvidia/qwen/qwen3.5-397b-a17b": {},
        "gemini-auth/gemini-3-flash-preview": {},
        "qwen-auth/qwen3-coder-flash": {}
      },
      "workspace": "/home/node/.openclaw/workspace"
    },
    "list": [
      {
        "id": "main",
        "model": {
          "primary": "gemini-auth/gemini-3.1-flash-lite-preview",
          "fallbacks": [
            "custom-nvidia/minimaxai/minimax-m2.5",
            "custom-nvidia/nvidia/nemotron-3-super-120b-a12b",
            "custom-nvidia/openai/gpt-oss-120b",
            "custom-nvidia/qwen/qwen3.5-397b-a17b",
            "gemini-auth/gemini-3-flash-preview",
            "qwen-auth/qwen3-coder-flash"
          ]
        }
      }
    ]
  },
  "tools": {
    "profile": "full",
    "web": {
      "search": { "enabled": true, "provider": "duckduckgo" }
    }
  },
  "commands": {
    "native": "auto",
    "nativeSkills": "auto",
    "restart": true,
    "ownerDisplay": "raw"
  },
  "session": { "dmScope": "per-channel-peer" },
  "hooks": {
    "internal": {
      "enabled": true,
      "entries": {
        "boot-md": { "enabled": true },
        "bootstrap-extra-files": { "enabled": true },
        "command-logger": { "enabled": true },
        "session-memory": { "enabled": true }
      }
    }
  },
  "gateway": {
    "port": 7860,
    "mode": "local",
    "bind": "lan",
    "auth": { "mode": "token", "token": "${OPENCLAW_TOKEN}" },
    "tailscale": { "mode": "off", "resetOnExit": false },
    "trustedProxies": ["10.16.0.0/16"],
    "controlUi": {
      "allowedOrigins": [
        "http://localhost:7860",
        "http://127.0.0.1:7860",
        "https://wenyin-openclaw.hf.space"
      ]
    }
  },
  "plugins": {
    "entries": {
      "duckduckgo": { "enabled": true }
    }
  }
}
EOF
else
  echo "openclaw.json already exists (restored from backup), skipping."
fi

# ─── 4. 安装微信插件 ───────────────────────────────────────────
echo "[setup] Installing WeChat plugin..."
CI=true npx -y @tencent-weixin/openclaw-weixin-cli@latest install --force
echo "[setup] WeChat plugin installed."

# ─── 5. 启动定时备份（每 1 小时） ──────────────────────────────────────
(while true; do sleep 3600; python3 /app/sync.py backup; done) &
BACKUP_PID=$!
echo "[setup] Backup loop started (PID: $BACKUP_PID)"

# ─── 6. 运行自检并启动 ───────────────────────────────────────────
openclaw doctor --fix

exec openclaw gateway run --port 7860 --bind lan