Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm

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Example: a customer support chatbot project

Towards Data Science
Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm.
Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm. Image by DALL-E-3

Blissful Lunar Latest 12 months, my friends!

Within the last article, I introduced the Workflow framework of LlamaIndex.

Today, I’ll show you how one can use LlamaIndex Workflow to implement a multi-agent orchestration feature much like OpenAI Swarm, using a customer support chatbot project for example.

Remember the Swarm framework released by OpenAI not way back? Its biggest feature is agents and handoffs.

The agents are straightforward: they use a set of specific commands and tools to get tasks done. It’s like putting a LLM function call right into a neat package.

And handoffs are different. They permit an agent to pass the work to a different agent seamlessly based on the context of the present conversation, making agents work together with none hiccups.

Why this is essential

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