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Latest in Multi-Agentic Frameworks: Meet Swarm 🐝

Latest in Multi-Agentic Frameworks: Meet Swarm 🐝

How to Build AI Apps with Multi-Agent Systems Using OpenAI Swarm Library 🐝

Avra
October 19, 2024

The world of multi-agent frameworks is expanding, and a new player has just joined the scene: Swarm 🐝.

If you’re diving into AI and automation, swarm should definitely be on your radar.

But it’s not the only option out there—here are a few others already existing 👇🏽

Phidata: phidata.com , Crewai: crewai.com, LangChain: langchain.com

And there are many more!

So, What is Swarm?

Swarm is an educational framework for easy, lightweight multi-agent orchestration. Built by the OpenAI Solutions team, it’s all about making multi-agent workflows simple and intuitive.

Perfect for anyone looking to build smarter AI systems without the hassle.

Key Concepts of Swarm:

Routines/Agents
Hand-offs

Here’s a simple way to think about it 💭

This “handoff” between “agents” is what makes Swarm powerful. Each agent focuses on what it does best, and when needed, they pass tasks to one another seamlessly. It’s all about making sure the right agent handles the right task—efficient, simple, and collaborative.

Swarm’s magic ✨ comes from simplifying the tricky process of using large language models for agentic behavior. Think fewer large prompts, function calling, and less struggle.

❝

When working with language models, quite often all you need for solid performance is a good prompt and the right tools. However, when dealing with many unique flows, things may get hairy.

- swarm cookbook

Check out this detailed workflow in the Swarm Cookbook—a must-read if you’re serious about mastering multi-agent systems!

Orchestrating Agents: Routines and Handoffs | OpenAI Cookbook

Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and guides.

cookbook.openai.com/examples/orchestrating_agents

This what I built

In less 30 mins I could build a Multi Agentic chatbot :

HealthBot Assist

xkcd-style illustration that shows the interaction between agents in the chatbot system, emphasizing how the Triage Agent connects users to the right specialized agents for their needs.

This chatbot uses different agents, each skilled in a specific task. When a user asks something, the Triage Agent figures out which agent can help best.

For example:

If the user needs medical advice, it sends them to the Medical Advice Agent.

If they want to book an appointment, it sends them to the Appointment Scheduling Agent.

Curious about building multi-agent apps with Swarm? 🐝

If you're ready to simplify complex AI systems and see swarm in action, this is the video you don’t want to miss.

Bonus — I built a full stack web app with Python (FastAPI router) as the backend and React JS as its frontend. Fun fact : An AI app builder generated the entire app for me!

Watch the full video and learn how to turn your AI ideas into reality!

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