[Enhancement]: Agent Supervisor Architecture

[Dannypeja]

What features would you like to see added?

Currently the agent chain only works by executing the same request to all agents in the chain. It would be great to have support to build various Agent Architectures. The most effective one would be the Supervisor because you can then build nested Supervisor structures resulting in the Hierachical.

More details

More info here: https://langchain-ai.github.io/langgraph/concepts/multi_agent/

There are several ways to connect agents in a multi-agent system:

• Network: each agent can communicate with every other agent. Any agent can decide which other agent to call next.
• Supervisor: each agent communicates with a single supervisor agent. Supervisor agent makes -decisions on which agent should be called next.
• Supervisor (tool-calling): this is a special case of supervisor architecture. Individual agents can be represented as tools. In this case, a supervisor agent uses a tool-calling LLM to decide which of the agent tools to call, as well as the arguments to pass to those agents.
• Hierarchical: you can define a multi-agent system with a supervisor of supervisors. This is a generalization of the supervisor architecture and allows for more complex control flows.
  Custom multi-agent workflow: each agent communicates with only a subset of agents. Parts of the flow are deterministic, and only some agents can decide which other agents to call next.

Which components are impacted by your request?

No response

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[danny-avila]

Thanks for the detailed feature request! We're exploring different approaches to implement multi-agent architectures, and one promising direction we're considering is building around a foundational hand-off function.

Potential Implementation Approach

Core Hand-off Function Concept
We're brainstorming a hand-off capability that could allow any agent to transfer control to another agent. This might support different modes like:

1. One-way Reroute: Agent A hands off to Agent B completely (doesn't return to A)
2. Bidirectional: Agent A calls Agent B, gets the response, then continues processing

• Parallel Multi-agent: Agent A calls multiple agents simultaneously and aggregates their responses (this would be a subset of bidirectional calls)

With this hand-off function as a building block, users could potentially construct:

• Supervisor patterns: A coordinator agent that routes to specialized agents
• Hierarchical structures: Nested supervisors managing different agent teams
• Network architectures: Any agent can route to any other agent based on context
• Custom workflows: Mix and match routing patterns as needed

Still in the brainstorming phase and would love to hear your thoughts on this direction or if you have other ideas for how to tackle multi-agent architectures.

[ogipogi]

Hi 👋

We had similar thoughts—I like your approaches and ideas 👍

Would it be possible with the supervisor pattern to reuse prompts and tools from other agents without needing a multi-agent pattern? What I mean is—some use cases are more efficient with a single agent, but it would be really cool if we could reuse prompts and tools defined in an agent so that it's no longer necessary to have large single agents with huge prompts and many tools.

See #8488

[danny-avila]

I'm prototyping multi-agent architecture here for LibreChat: danny-avila/agents#18

This is working really well so far, and is highly composable, allowing for almost any multi-agent pattern you can think of.

The challenge is how to develop a UI for this. Maybe just "handoffs" via simple form to start, to allow for "intelligent routing" but we can do much more like parallel execution, message transformation between agents, etc.

I'm think a simple node-based interface makes sense longer term.