[Question] Existing Solutions for Encapsulating SelectorGroupChat and GraphFlow as Agents?

[Sanbornzhang]

Description

I'm exploring the possibility of encapsulating SelectorGroupChat and GraphFlow as individual agents within the AutoGen framework. The goal is to enable these components to function as agents that can be invoked or integrated into larger, more complex multi-agent workflows.

Background

AutoGen provides powerful abstractions for multi-agent coordination:

• SelectorGroupChat: Facilitates dynamic agent selection based on conversation context, allowing for flexible and context-aware interactions.

• GraphFlow: Enables structured workflows through directed graphs, supporting sequential, parallel, conditional, and looping behaviors.

While these are designed as team-level constructs, encapsulating them as agents could enhance modularity and reusability in complex systems.

I came across PR #5924, which introduces the capability to wrap teams as tools. This seems related but doesn't fully address the idea of treating SelectorGroupChat or GraphFlow as agents themselves.

Questions

1. Are there existing implementations or recommended practices for wrapping SelectorGroupChat or GraphFlow as agents within AutoGen?

2. What considerations should be taken into account regarding state management, message passing, and compatibility when encapsulating these components as agents?

3. Are there any known limitations or challenges associated with this approach, especially concerning termination conditions or agent interactions?

Expected Outcome

Guidance or references to existing solutions for encapsulating SelectorGroupChat and GraphFlow as agents, including best practices and potential pitfalls to avoid.

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If you have insights or examples to share, your input would be greatly appreciated. Thank you!