Recipe Overview

When workflows are large or specialized, multiple agents collaborate. A multi-agent stack divides the task among several LLM modules. The problem it solves is scaling complexity. Agents can work in parallel on subtasks and then aggregate outputs. For example, one agent could summarize documents while another checks facts and a third formats the final report. This allows specialization: each agent can be optimized for its specific role. The pattern scales to handle enterprise-level workflows that would overwhelm a single agent, though it requires careful orchestration.