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Lovart 接入小龙虾��OpenClaw步骤 1：选择运行环境（OpenClaw 及扩展方案）要使用 Lovart 技能，您需要一个兼容的代理主机。我们推荐以下选项：OpenClaw Desktop（本地）：在您的机器上本地运行 Lovart 的最强方式（）。Discord / Telegram 集成：适用于使用 OpenClaw Discord 网关或 Telegram 机器人封装程序的团队。步骤 2：配置 Lovart OpenClaw 技能您可以通过以下两种方式设置 Lovart OpenClaw 技能：GitHub CLI： lovart-skill，运行 npx skills add lovartai/lovart-skillsClawHub：访问 ClawHub 上的，点击“安装”即可直接同步到您的环境。Lovart 需要 access_key 和 secret_key 来关联您的工作区和计算资源。登录您的Lovart.ai账户，通过右上角的个人资料图标进入“设置”，复制您的唯一 access_key 和 secret_key。激活只需向您的代理发送消息“access_key: [您的密钥], secret_key: [您的密钥]”，或将其设置为全局环境变量：export LOVART_ACCESS_KEY="ak_xxx"export LOVART_SECRET_KEY="sk_xxx"推荐模型：对于复杂的“技能”逻辑，请使用GPT-5.4、Claude 4.6 或Gemini 3.1等顶级模型参考文件：您可直接在聊天界面中上传图片或视频作为风格/结构参考。
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- 请求信息 : 2026-04-18 03:02:02 HTTP/1.1 GET : https://www.yeyulingfeng.com/a/540125.html
- 运行时间 : 0.098111s [ 吞吐率：10.19req/s ] 内存消耗：4,751.45kb 文件加载：145
- 缓存信息 : 0 reads,0 writes
- 会话信息 : SESSION_ID=1841508f818e004f15cd519178a8e610
- CONNECT:[ UseTime:0.000561s ] mysql:host=127.0.0.1;port=3306;dbname=wenku;charset=utf8mb4
- SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.000715s ]
- SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.002742s ]
- SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000979s ]
- SHOW FULL COLUMNS FROM `set` [ RunTime:0.000532s ]
- SELECT * FROM `set` [ RunTime:0.000198s ]
- SHOW FULL COLUMNS FROM `article` [ RunTime:0.000552s ]
- SELECT * FROM `article` WHERE `id` = 540125 LIMIT 1 [ RunTime:0.000350s ]
- UPDATE `article` SET `lasttime` = 1776452522 WHERE `id` = 540125 [ RunTime:0.009443s ]
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- SELECT * FROM `article` WHERE `id` < 540125 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.000444s ]
- SELECT * FROM `article` WHERE `id` > 540125 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.000923s ]
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- SELECT * FROM `article` WHERE `id` < 540125 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.005025s ]
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夜雨聆风
