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# OpenClaw on Hugging Face Spaces - 多模型配置版
FROM node:22-slim
# 1. 基础依赖
RUN apt-get update && apt-get install -y --no-install-recommends \
git openssh-client build-essential python3 python3-pip \
g++ make ca-certificates curl jq \
&& rm -rf /var/lib/apt/lists/*
# 2. 安装 Hugging Face Hub
RUN pip3 install --no-cache-dir huggingface_hub --break-system-packages
# 3. Git 配置
RUN update-ca-certificates && \
git config --global http.sslVerify false && \
git config --global url."https://github.com/".insteadOf ssh://git@github.com/
# 4. 安装 OpenClaw
RUN npm install -g openclaw@latest --unsafe-perm
# 5. 环境变量预设 - 只保留非模型相关的配置
ENV \
# 基础配置
PORT=${PORT:-7860} \
NODE_ENV=${NODE_ENV:-production} \
HOME=${HOME:-/root} \
\
# OpenClaw 核心配置
OPENCLAW_GATEWAY_MODE=${OPENCLAW_GATEWAY_MODE:-local} \
OPENCLAW_GATEWAY_TOKEN=${OPENCLAW_GATEWAY_TOKEN:-} \
\
# 模型配置 - 单个JSON环境变量(包含所有模型和mode)
MODELS_CONFIG=${MODELS_CONFIG:-'{"mode":"merge","providers":{},"primary":""}'} \
\
# 网关配置
GATEWAY_AUTH_MODE=${GATEWAY_AUTH_MODE:-token} \
GATEWAY_BIND=${GATEWAY_BIND:-lan} \
GATEWAY_TRUSTED_PROXIES=${GATEWAY_TRUSTED_PROXIES:-0.0.0.0/0,10.0.0.0/8,172.16.0.0/12,192.168.0.0/16} \
GATEWAY_ALLOWED_ORIGINS=${GATEWAY_ALLOWED_ORIGINS:-https://control.example.com} \
\
# 控制UI配置
CONTROLUI_ALLOW_INSECURE_AUTH=${CONTROLUI_ALLOW_INSECURE_AUTH:-true} \
CONTROLUI_DANGEROUS_HOST_HEADER=${CONTROLUI_DANGEROUS_HOST_HEADER:-true} \
CONTROLUI_DANGEROUS_DISABLE_DEVICE_AUTH=${CONTROLUI_DANGEROUS_DISABLE_DEVICE_AUTH:-true} \
\
# Telegram 配置
TELEGRAM_ENABLED=${TELEGRAM_ENABLED:-false} \
TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-} \
TELEGRAM_DM_POLICY=${TELEGRAM_DM_POLICY:-allowlist} \
TELEGRAM_ALLOW_FROM=${TELEGRAM_ALLOW_FROM:-} \
TELEGRAM_PROXY_HOST=${TELEGRAM_PROXY_HOST:-} \
\
# 备份配置
BACKUP_ENABLED=${BACKUP_ENABLED:-true} \
BACKUP_INTERVAL=${BACKUP_INTERVAL:-21600} \
BACKUP_RETENTION_DAYS=${BACKUP_RETENTION_DAYS:-5} \
HF_DATASET=${HF_DATASET:-} \
HF_TOKEN=${HF_TOKEN:-}
# 6. 模型配置解析脚本
RUN cat > /usr/local/bin/parse-models-config.py << 'PARSE_EOF'
#!/usr/bin/env python3
import json
import os
import sys
def parse_models_config():
"""解析 MODELS_CONFIG 环境变量,生成完整的 OpenClaw 配置"""
# 获取环境变量
models_config_json = os.getenv("MODELS_CONFIG", "{}")
# 默认配置
default_config = {
"mode": "merge", # 默认值为 merge
"providers": {},
"primary": ""
}
try:
# 解析 JSON
if models_config_json and models_config_json != "{}":
config = json.loads(models_config_json)
else:
config = {}
# 合并默认值
mode = config.get("mode", default_config["mode"])
providers = config.get("providers", {})
primary = config.get("primary", "")
# 构建结果
result = {
"mode": mode,
"providers": {},
"primary": primary,
"agents_models": {}
}
# 处理每个 provider
for provider_name, provider_config in providers.items():
# 验证必要字段
base_url = provider_config.get("baseUrl", "")
api_key = provider_config.get("apiKey", "")
api_type = provider_config.get("api", "openai-completions")
models = provider_config.get("models", [])
if not base_url or not api_key:
print(f"⚠️ Provider {provider_name} 缺少 baseUrl 或 apiKey,跳过")
continue
# 添加 provider 配置
result["providers"][provider_name] = {
"baseUrl": base_url,
"apiKey": api_key,
"api": api_type,
"models": models
}
# 为每个模型生成 agents.models 条目
for model in models:
model_id = model.get("id")
model_name = model.get("name", model_id)
if model_id:
key = f"{provider_name}/{model_id}"
result["agents_models"][key] = {
"alias": model_name
}
# 如果没有设置 primary 但有模型,使用第一个模型的完整ID
if not result["primary"] and result["agents_models"]:
first_model = list(result["agents_models"].keys())[0]
result["primary"] = first_model
print(f"ℹ️ 未设置主模型,自动使用: {first_model}")
return result
except json.JSONDecodeError as e:
print(f"❌ MODELS_CONFIG JSON 解析失败: {e}")
print(f"📄 收到的配置: {models_config_json[:200]}...")
# 返回默认配置
return {
"mode": "merge",
"providers": {},
"primary": "",
"agents_models": {}
}
def generate_full_config():
"""生成完整的 OpenClaw 配置"""
parsed = parse_models_config()
# 构建完整的配置结构
full_config = {
"models": {
"mode": parsed["mode"],
"providers": parsed["providers"]
},
"agents": {
"defaults": {
"model": {
"primary": parsed["primary"]
},
"models": parsed["agents_models"],
"workspace": "/root/.openclaw/workspace"
}
}
}
return full_config
if __name__ == "__main__":
if len(sys.argv) > 1:
if sys.argv[1] == "--full":
# 输出完整配置
config = generate_full_config()
print(json.dumps(config, indent=2))
elif sys.argv[1] == "--validate":
# 验证配置
parsed = parse_models_config()
provider_count = len(parsed["providers"])
model_count = len(parsed["agents_models"])
if provider_count == 0:
print("⚠️ 没有配置任何 provider,将使用空配置")
else:
print(f"✅ 配置验证成功:")
print(f" • 模式: {parsed['mode']}")
print(f" • Providers: {provider_count}")
print(f" • 模型总数: {model_count}")
if parsed["primary"]:
print(f" • 主模型: {parsed['primary']}")
else:
print(f" ⚠️ 未设置主模型")
# 列出所有配置的模型
if model_count > 0:
print("\n📋 已配置的模型:")
for model_key in parsed["agents_models"].keys():
print(f" • {model_key}")
sys.exit(0 if provider_count > 0 else 1)
else:
# 默认输出解析结果
parsed = parse_models_config()
print(json.dumps(parsed, indent=2))
PARSE_EOF
RUN chmod +x /usr/local/bin/parse-models-config.py
# 7. 同步脚本 - 备份和恢复整个 .openclaw 目录
RUN cat > /usr/local/bin/sync.py << 'SYNC_EOF'
#!/usr/bin/env python3
import os
import sys
import tarfile
import shutil
from huggingface_hub import HfApi, hf_hub_download
from datetime import datetime, timedelta
api = HfApi()
repo_id = os.getenv("HF_DATASET", "")
token = os.getenv("HF_TOKEN", "")
retention_days = int(os.getenv("BACKUP_RETENTION_DAYS", "5"))
OPENCLAW_DIR = "/root/.openclaw"
BACKUP_DIR = "/tmp/openclaw_backups"
def ensure_backup_dir():
"""确保备份临时目录存在"""
os.makedirs(BACKUP_DIR, exist_ok=True)
def restore():
"""从 Hugging Face Dataset 恢复最新的 .openclaw 目录"""
if not repo_id or not token:
print("⚠️ HF_DATASET 或 HF_TOKEN 未设置,跳过恢复")
return False
if not os.path.exists(OPENCLAW_DIR):
os.makedirs(OPENCLAW_DIR, mode=0o755, exist_ok=True)
try:
# 列出数据集中的所有文件
files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token)
backup_files = [f for f in files if f.startswith("backup_") and f.endswith(".tar.gz")]
if not backup_files:
print("ℹ️ 没有找到备份文件")
return False
# 按日期排序,获取最新的备份
backup_files.sort(reverse=True)
latest_backup = backup_files[0]
print(f"📥 发现最新备份: {latest_backup}")
# 下载备份文件
ensure_backup_dir()
local_backup_path = os.path.join(BACKUP_DIR, latest_backup)
print(f"⬇️ 下载备份文件...")
downloaded_path = hf_hub_download(
repo_id=repo_id,
filename=latest_backup,
repo_type="dataset",
token=token,
local_dir=BACKUP_DIR,
local_dir_use_symlinks=False
)
# 创建临时恢复目录
restore_temp = os.path.join(BACKUP_DIR, "restore_temp")
if os.path.exists(restore_temp):
shutil.rmtree(restore_temp)
os.makedirs(restore_temp)
# 解压备份文件
print(f"📦 解压备份文件...")
with tarfile.open(downloaded_path, "r:gz") as tar:
tar.extractall(path=restore_temp)
# 检查解压后的内容
extracted_items = os.listdir(restore_temp)
print(f"解压内容: {extracted_items}")
# 情况1: 解压后直接是 .openclaw 目录
if ".openclaw" in extracted_items:
source_dir = os.path.join(restore_temp, ".openclaw")
# 情况2: 解压后是目录内容(sessions, openclaw.json 等)
elif set(extracted_items) & {"sessions", "openclaw.json", "workspace"}:
source_dir = restore_temp
else:
print(f"❌ 无法识别的备份格式: {extracted_items}")
return False
# 备份当前目录(如果需要)
if os.path.exists(OPENCLAW_DIR) and os.listdir(OPENCLAW_DIR):
backup_current = os.path.join(BACKUP_DIR, "current_before_restore")
if os.path.exists(backup_current):
shutil.rmtree(backup_current)
shutil.copytree(OPENCLAW_DIR, backup_current)
print(f"💾 已备份当前目录到: {backup_current}")
# 清空并恢复目标目录
print(f"🔄 恢复数据到 {OPENCLAW_DIR}...")
if os.path.exists(OPENCLAW_DIR):
# 删除所有内容但不删除目录本身
for item in os.listdir(OPENCLAW_DIR):
item_path = os.path.join(OPENCLAW_DIR, item)
if os.path.isfile(item_path):
os.remove(item_path)
elif os.path.isdir(item_path):
shutil.rmtree(item_path)
# 复制所有文件
for item in os.listdir(source_dir):
src = os.path.join(source_dir, item)
dst = os.path.join(OPENCLAW_DIR, item)
if os.path.isdir(src):
shutil.copytree(src, dst)
else:
shutil.copy2(src, dst)
print(f"✅ 恢复完成!")
# 清理临时文件
shutil.rmtree(restore_temp)
os.remove(downloaded_path)
return True
except Exception as e:
print(f"❌ 恢复失败: {e}")
return False
def backup():
"""备份整个 .openclaw 目录到 Hugging Face Dataset"""
if not repo_id or not token:
print("⚠️ HF_DATASET 或 HF_TOKEN 未设置,跳过备份")
return
if not os.path.exists(OPENCLAW_DIR) or not os.listdir(OPENCLAW_DIR):
print("ℹ️ .openclaw 目录为空,跳过备份")
return
try:
# 生成备份文件名
today = datetime.now().strftime("%Y-%m-%d")
backup_filename = f"backup_{today}.tar.gz"
backup_path = os.path.join(BACKUP_DIR, backup_filename)
ensure_backup_dir()
print(f"📦 创建备份: {backup_filename}")
# 创建备份
with tarfile.open(backup_path, "w:gz") as tar:
tar.add(OPENCLAW_DIR, arcname=".openclaw")
# 上传到 Hugging Face
print(f"⬆️ 上传到 Hugging Face Dataset: {repo_id}")
api.upload_file(
path_or_fileobj=backup_path,
path_in_repo=backup_filename,
repo_id=repo_id,
repo_type="dataset",
token=token
)
print(f"✅ 备份完成: {backup_filename}")
# 清理旧备份
try:
files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token)
backup_files = [f for f in files if f.startswith("backup_") and f.endswith(".tar.gz")]
backup_files.sort()
while len(backup_files) > retention_days:
oldest = backup_files.pop(0)
print(f"🗑️ 删除旧备份: {oldest}")
api.delete_file(
path_in_repo=oldest,
repo_id=repo_id,
repo_type="dataset",
token=token
)
except Exception as e:
print(f"⚠️ 清理旧备份失败: {e}")
# 删除本地临时文件
os.remove(backup_path)
except Exception as e:
print(f"❌ 备份失败: {e}")
def list_backups():
"""列出所有可用的备份"""
if not repo_id or not token:
print("⚠️ HF_DATASET 或 HF_TOKEN 未设置")
return
try:
files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token)
backup_files = [f for f in files if f.startswith("backup_") and f.endswith(".tar.gz")]
backup_files.sort(reverse=True)
if backup_files:
print("📋 可用的备份:")
for i, f in enumerate(backup_files, 1):
print(f" {i}. {f}")
else:
print("ℹ️ 没有找到备份文件")
except Exception as e:
print(f"❌ 列出备份失败: {e}")
if __name__ == "__main__":
if len(sys.argv) > 1:
if sys.argv[1] == "backup":
backup()
elif sys.argv[1] == "restore":
restore()
elif sys.argv[1] == "list":
list_backups()
else:
print(f"未知命令: {sys.argv[1]}")
print("可用命令: backup, restore, list")
else:
# 默认执行恢复
restore()
SYNC_EOF
RUN chmod +x /usr/local/bin/sync.py
# 8. Telegram API 替换脚本
RUN cat > /usr/local/bin/patch-telegram-api << 'PATCH_EOF'
#!/bin/bash
# 如果设置了 TELEGRAM_PROXY_HOST,则替换所有 Telegram API 地址
if [ -n "$TELEGRAM_PROXY_HOST" ]; then
echo "🔧 检测到 TELEGRAM_PROXY_HOST 设置: $TELEGRAM_PROXY_HOST"
echo "🔄 开始替换 OpenClaw 中的 Telegram API 地址..."
OPENCLAW_DIR="/usr/local/lib/node_modules/openclaw"
if [ -d "$OPENCLAW_DIR" ]; then
# 统计替换前的匹配数量
MATCH_COUNT=$(grep -r "api.telegram.org" "$OPENCLAW_DIR" 2>/dev/null | wc -l)
echo "📊 找到 $MATCH_COUNT 处需要替换的地址"
# 执行替换
find "$OPENCLAW_DIR" -type f -name "*.js" -exec sed -i "s|api\\.telegram\\.org|$TELEGRAM_PROXY_HOST|g" {} +
# 再次检查是否还有未替换的
REMAINING=$(grep -r "api.telegram.org" "$OPENCLAW_DIR" 2>/dev/null | wc -l)
if [ "$REMAINING" -eq 0 ]; then
echo "Telegram API 地址替换完成!"
echo " 原始地址: api.telegram.org"
echo " 新地址: $TELEGRAM_PROXY_HOST"
else
echo "⚠️ 仍有 $REMAINING 处未替换,尝试二次替换..."
find "$OPENCLAW_DIR" -type f \( -name "*.js" -o -name "*.json" -o -name "*.ts" \) -exec sed -i "s|api.telegram.org|$TELEGRAM_PROXY_HOST|g" {} +
FINAL_REMAINING=$(grep -r "api.telegram.org" "$OPENCLAW_DIR" 2>/dev/null | wc -l)
echo "📊 最终剩余未替换: $FINAL_REMAINING 处"
fi
# 验证替换结果
echo "🔍 验证替换结果(前3处):"
grep -r "$TELEGRAM_PROXY_HOST" "$OPENCLAW_DIR" 2>/dev/null | head -3 | sed 's|.*| &|'
else
echo "❌ OpenClaw 目录不存在: $OPENCLAW_DIR"
fi
else
echo "ℹ️ 未设置 TELEGRAM_PROXY_HOST,跳过 Telegram API 替换"
fi
PATCH_EOF
RUN chmod +x /usr/local/bin/patch-telegram-api
# 9. 启动脚本
RUN cat > /usr/local/bin/start-openclaw << 'START_EOF'
#!/bin/bash
set -e
# 创建必要的目录
mkdir -p /root/.openclaw
mkdir -p /root/.openclaw/sessions
mkdir -p /root/.openclaw/workspace
echo "========================================"
echo "OpenClaw Gateway Starting..."
echo "========================================"
# 尝试恢复数据(如果配置了备份)
if [ -n "$HF_DATASET" ] && [ -n "$HF_TOKEN" ]; then
echo "🔄 尝试从 Hugging Face 恢复数据..."
python3 /usr/local/bin/sync.py restore || echo "⚠️ 恢复失败,继续启动..."
fi
# 执行 Telegram API 地址替换(如果设置了代理)
/usr/local/bin/patch-telegram-api
# 生成令牌(如果没设置)
if [ -z "$OPENCLAW_GATEWAY_TOKEN" ]; then
OPENCLAW_GATEWAY_TOKEN=$(openssl rand -hex 16)
echo "🔑 生成的网关令牌: $OPENCLAW_GATEWAY_TOKEN"
fi
# 转换可信代理列表为JSON数组
TRUSTED_PROXIES_JSON=$(echo "$GATEWAY_TRUSTED_PROXIES" | tr ',' '\n' | awk '{ printf "\"%s\",", $0 }' | sed 's/,$//' | sed 's/^/[/' | sed 's/$/]/')
# 转换允许的源列表为JSON数组
ALLOWED_ORIGINS_JSON=$(echo "$GATEWAY_ALLOWED_ORIGINS" | tr ',' '\n' | awk '{ printf "\"%s\",", $0 }' | sed 's/,$//' | sed 's/^/[/' | sed 's/$/]/')
# 转换Telegram允许列表为JSON数组
if [ -n "$TELEGRAM_ALLOW_FROM" ]; then
TELEGRAM_ALLOW_JSON=$(echo "$TELEGRAM_ALLOW_FROM" | tr ',' '\n' | while read id; do
id=$(echo "$id" | xargs)
if [[ "$id" =~ ^[0-9]+$ ]]; then
echo "\"tg:$id\""
elif [[ "$id" =~ ^tg: ]]; then
echo "\"$id\""
elif [[ "$id" =~ ^@ ]]; then
echo "\"$id\""
else
echo "\"$id\""
fi
done | paste -sd ',' | sed 's/^/[/' | sed 's/$/]/')
else
TELEGRAM_ALLOW_JSON="[]"
fi
# 创建 OpenClaw 配置(如果配置文件不存在)
if [ ! -f "/root/.openclaw/openclaw.json" ]; then
echo "📝 创建 OpenClaw 配置文件..."
# 验证模型配置
echo "🔍 验证模型配置..."
if python3 /usr/local/bin/parse-models-config.py --validate; then
# 生成完整的模型配置
echo "✅ 模型配置验证成功,正在生成配置..."
MODELS_FULL_CONFIG=$(python3 /usr/local/bin/parse-models-config.py --full)
# 提取 models 和 agents 部分
MODELS_JSON=$(echo "$MODELS_FULL_CONFIG" | jq '.models')
AGENTS_JSON=$(echo "$MODELS_FULL_CONFIG" | jq '.agents')
# 创建完整配置
cat > /root/.openclaw/openclaw.json <<OPENCLAW_CONFIG
{
"models": $MODELS_JSON,
"agents": $AGENTS_JSON,
"gateway": {
"mode": "${OPENCLAW_GATEWAY_MODE}",
"bind": "${GATEWAY_BIND}",
"port": ${PORT},
"trustedProxies": ${TRUSTED_PROXIES_JSON},
"auth": {
"mode": "${GATEWAY_AUTH_MODE}",
"token": "${OPENCLAW_GATEWAY_TOKEN}"
},
"remote": {
"token": "${OPENCLAW_GATEWAY_TOKEN}"
},
"controlUi": {
"allowInsecureAuth": ${CONTROLUI_ALLOW_INSECURE_AUTH},
"dangerouslyAllowHostHeaderOriginFallback": ${CONTROLUI_DANGEROUS_HOST_HEADER},
"dangerouslyDisableDeviceAuth": ${CONTROLUI_DANGEROUS_DISABLE_DEVICE_AUTH},
"allowedOrigins": ${ALLOWED_ORIGINS_JSON}
}
},
"session": {
"store": "/root/.openclaw/sessions/sessions.json"
},
"channels": {
"telegram": {
"enabled": ${TELEGRAM_ENABLED},
"botToken": "${TELEGRAM_BOT_TOKEN}",
"dmPolicy": "${TELEGRAM_DM_POLICY}",
"allowFrom": ${TELEGRAM_ALLOW_JSON}
}
}
}
OPENCLAW_CONFIG
# 显示配置摘要
PROVIDER_COUNT=$(echo "$MODELS_JSON" | jq '.providers | length')
MODEL_COUNT=$(echo "$AGENTS_JSON" | jq '.defaults.models | length')
PRIMARY_MODEL=$(echo "$AGENTS_JSON" | jq -r '.defaults.model.primary')
MODEL_MODE=$(echo "$MODELS_JSON" | jq -r '.mode')
echo "✅ 配置已生成:"
echo " • 模式: $MODEL_MODE"
echo " • Providers: $PROVIDER_COUNT"
echo " • 模型总数: $MODEL_COUNT"
echo " • 主模型: $PRIMARY_MODEL"
else
echo "❌ 模型配置验证失败,使用最小配置"
# 创建最小配置(空配置,让 OpenClaw 使用默认行为)
cat > /root/.openclaw/openclaw.json <<OPENCLAW_CONFIG
{
"models": {
"mode": "merge",
"providers": {}
},
"agents": {
"defaults": {
"model": {
"primary": ""
},
"models": {},
"workspace": "/root/.openclaw/workspace"
}
},
"gateway": {
"mode": "${OPENCLAW_GATEWAY_MODE}",
"bind": "${GATEWAY_BIND}",
"port": ${PORT},
"trustedProxies": ${TRUSTED_PROXIES_JSON},
"auth": {
"mode": "${GATEWAY_AUTH_MODE}",
"token": "${OPENCLAW_GATEWAY_TOKEN}"
},
"remote": {
"token": "${OPENCLAW_GATEWAY_TOKEN}"
},
"controlUi": {
"allowInsecureAuth": ${CONTROLUI_ALLOW_INSECURE_AUTH},
"dangerouslyAllowHostHeaderOriginFallback": ${CONTROLUI_DANGEROUS_HOST_HEADER},
"dangerouslyDisableDeviceAuth": ${CONTROLUI_DANGEROUS_DISABLE_DEVICE_AUTH},
"allowedOrigins": ${ALLOWED_ORIGINS_JSON}
}
},
"session": {
"store": "/root/.openclaw/sessions/sessions.json"
},
"channels": {
"telegram": {
"enabled": ${TELEGRAM_ENABLED},
"botToken": "${TELEGRAM_BOT_TOKEN}",
"dmPolicy": "${TELEGRAM_DM_POLICY}",
"allowFrom": ${TELEGRAM_ALLOW_JSON}
}
}
}
OPENCLAW_CONFIG
echo "⚠️ 使用了最小配置"
fi
else
echo "📁 使用现有的配置文件"
fi
echo "========================================"
echo "📊 配置信息:"
echo " • 端口: ${PORT}"
echo " • 备份: ${BACKUP_ENABLED}"
echo " • Allowed Origins: ${GATEWAY_ALLOWED_ORIGINS}"
echo " • Telegram Enabled: ${TELEGRAM_ENABLED}"
if [ "${TELEGRAM_ENABLED}" = "true" ]; then
echo " • Telegram DM Policy: ${TELEGRAM_DM_POLICY}"
echo " • Telegram Allow From: ${TELEGRAM_ALLOW_FROM}"
if [ -n "$TELEGRAM_PROXY_HOST" ]; then
echo " • Telegram Proxy: ${TELEGRAM_PROXY_HOST}"
fi
fi
echo "========================================"
# 后台备份循环(如果启用)
if [ "${BACKUP_ENABLED}" = "true" ] && [ -n "$HF_DATASET" ] && [ -n "$HF_TOKEN" ]; then
echo "🔄 启动自动备份 (间隔: ${BACKUP_INTERVAL}秒)"
(
while true; do
sleep ${BACKUP_INTERVAL}
echo "⏰ 执行定时备份..."
python3 /usr/local/bin/sync.py backup || echo "⚠️ 备份失败"
done
) &
fi
# 运行诊断并启动网关
echo "🔧 运行 OpenClaw 诊断..."
openclaw doctor --fix || true
echo "🚀 启动 OpenClaw Gateway..."
echo "========================================"
exec openclaw gateway run --port $PORT
START_EOF
RUN chmod +x /usr/local/bin/start-openclaw
EXPOSE 7860
CMD ["/usr/local/bin/start-openclaw"]