Agentic Teams: Orchestrating Multi-LLM Collaboration for Complex Problem-Solving

In an era where AI systems are rapidly evolving, the sheer variety of large language models (LLMs) has opened new horizons for tackling complex tasks. But why limit yourself to the capabilities of a single model? What if you could seamlessly coordinate multiple LLMs, each with its own unique strengths, to solve problems more efficiently? This is precisely the vision behind Agentic Teams.

Agentic Teams is a framework that empowers AI practitioners and developers to form “teams” of specialized agents — each agent powered by a different LLM — enabling them to collaborate, break down large tasks, and iteratively refine solutions. This post explores what Agentic Teams brings to the table, how it works, and why it might be a game-changer in multi-agent AI development.

1. Why Agentic Teams?

Imagine a software development project: one model excels at brainstorming creative ideas, another at debugging code, and yet another at drafting technical documentation. Traditionally, you might invoke each model separately, manually coordinating their inputs and outputs. With Agentic Teams, you can unify these efforts under one umbrella — each agent handles its role while the framework coordinates, distributes tasks, and fuses all the results.