Workflow Patterns

Decompose a task into a fixed sequence of steps, where each LLM call processes the output of the previous one.

Classify an input and direct it to a specialized handler optimized for that type of request.

Run multiple LLM calls simultaneously and aggregate their results — either by splitting a task into independent parts or by getting diverse perspectives on the same task.

A central LLM dynamically breaks down a task, delegates subtasks to worker LLMs, and synthesizes their results.

One LLM generates a response while another evaluates it and provides feedback in an iterative loop until quality criteria are met.