LLM 集成功能和修复WeChatter 消息转发 #101
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feat:新增Grok大模型
- 重构了消息转发规则的解析逻辑，提高了代码的可读性和可维护性- 新增了将目标群组和人员自动添加到排除列表的功能，避免消息循环转发
- 修复了消息转发来源排除列表 "from_list_exclude" 对用户失效的问题。 - 修改了 Message 类中的 is_group_msg 方法，现在使用 group.id 来判断是否为群消息。 - 更新了 sender.py 中的群消息发送逻辑，改为使用 g_id 和 g_name 来判断和发送群消息。
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feat: 新增 basechat.py 模块，封装与各大 LLM 对话的方法，简化 AI 模型的集成。
feat: 集成 Grok 大型模型，扩展系统的 AI 功能。
fix: 解决消息转发来源排除列表 (from_list_exclude) 的问题，确保正确排除指定来源。
fix: 修正 Message 类中群消息判断逻辑，现在使用 group.id 判断是否为群消息，提高群消息处理的准确性。
fix: 更新 sender.py 中群消息发送逻辑，使用 g_id 和 g_name 来发送群消息，优化群消息的发送流程。