@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot
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Source channel @githubtrending · Post #14925 · Jul 7
#typescript#12_factor#12_factor_agents#agents#ai#context_window#framework#llms#memory#orchestration#prompt_engineering#rag The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5]. https://github.com/humanlayer/12-factor-agents
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@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot