Tutorial: Multi-Agent Orchestration Patterns

Multi-agent systems unlock capabilities that no single agent can achieve alone. By orchestrating specialized agents that collaborate, you can tackle complex tasks that require diverse expertise and multi-step reasoning.

Pattern 1: Sequential Pipeline. The simplest pattern - agents execute in order, each passing its output to the next. Example: Research Agent → Analysis Agent → Report Writer Agent. Best for linear workflows with clear stage boundaries.

Pattern 2: Parallel Fan-Out/Fan-In. Multiple agents work on different aspects of a problem simultaneously, then a coordinator agent synthesizes their outputs. Example: analyzing a document from legal, financial, and technical perspectives in parallel.

Pattern 3: Supervisor with Delegation. A supervisor agent decides which specialist to invoke based on the current task. This is the Deep Agent pattern - it dynamically routes sub-tasks to the most capable specialist agent.

Pattern 4: Consensus. Multiple agents independently solve the same problem, then a judge agent evaluates the answers and selects the best one. This pattern is particularly effective for high-stakes decisions where accuracy is critical.