TransformerOptimus/SuperAGI
在 GitHub 查看Support for both Tree of Thought ( ToT ) vs Chain of Thought ( CoT )
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#71 创建于 2023年5月19日
0 评论 (0 评论)1 反应 (1 反应)0 负责人 (0 负责人)Python14,233 star (14,233 star)1,686 fork (1,686 fork)batch import
enhancementhelp wanted
描述
此议题没有描述。
贡献者指南
- 技术栈
- python
- 领域
- machine learningai
- 议题类型
- feature
- 难度面向新贡献者的预计实现难度,1 表示很小改动,5 表示专家级工作。
- 4
- 预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
- 1-2 days
- 活动状态议题当前的可参与程度:新鲜、活跃、陈旧、阻塞或等待维护者输入。
- fresh
- 清晰度议题是否清楚说明期望改动、验收标准和下一步。
- mostly clear
- 前置要求
- basic understanding of LLM reasoningknowledge of SuperAGI agent framework
- 新手友好度1-100 的估计分数,表示该议题对首次贡献者的友好程度。
- 35
- 研究方向
- The issue requests support for Tree of Thought (ToT) and Chain of Thought (CoT) reasoning in SuperAGI. Since the body is empty, first explore the existing agent architecture in the repository, likely the agent execution loop and prompt handling. Look for files related to agent reasoning, such as 'agent.py' or 'prompt templates'. Determine where new reasoning strategies could be integrated. Check if there are any existing examples or documentation. Also, review any linked issues or discussions that might provide context. The absence of assignees or PRs indicates this is open for contribution.