Support for both Tree of Thought ( ToT ) vs Chain of Thought ( CoT )

Description

This issue does not include a description.

Contributor guide

Tech stack

python

Domain

machine learningai

Issue type

feature

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

4

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-2 days

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

fresh

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

mostly clear

Prerequisites

basic understanding of LLM reasoningknowledge of SuperAGI agent framework

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

35

Research direction

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.