app:
  description: 使用常规大语言模型模拟 o1 的思维链，具备更强的推理能力。
  icon: 🍓
  icon_background: '#D1E0FF'
  mode: advanced-chat
  name: llm→o1
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kind: app
version: 0.1.2
workflow:
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          \   'name': step_name,\n        'content': step_content\n    }\n"
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          role: system
          text: '## 问题

            """{{#sys.query#}}"""


            ## 任务背景

            这是工作流中的一个环节，前面的工作流流程会将问题拆分出 N 个步骤。


            ## 任务

            根据问题拆分出的步骤，解答指定步骤的任务，本轮任务名称：{{#1727189052583.name#}}，任务描述：{{#1727189052583.content#}}


            ## 初始化

            不必回答整个问题，分析解答这个步骤的问题即可。


            ## 输出

            采用 Markdown 输出解答，示例如下：

            - {{#1727189052583.name#}}：【步骤解答】'
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        title: 执行任务
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        prompt_template:
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          id: e6416010-f755-4c0b-9aa9-f3727bf28ca4
          role: system
          text: '## 原问题

            """{{#sys.query#}}"""


            ## 任务

            检查原问题，并归纳以下分析（请注意可能会出错，发现错误请进行纠正），最后给出问题最终答案，答案言简意赅即可。

            {{#1727189088392.output#}}'
        selected: false
        title: 归纳答案
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