1. Prompt Chaining

Prompt chaining breaks a task down into a series of steps, where each LLM call processes the output of the previous step.

2. Routing

Routing classifies the input and directs it to a specialized follow-up task.

3. Parallelization

An LLM can sometimes work on a task concurrently and aggregate its outputs programmatically.

4. Orchestrator-Workers

A central LLM dynamically decomposes the task, delegates it to worker LLMs, and synthesizes their results.

5. Evaluator-Optimizer

One LLM call generates a response while another call provides evaluation and feedback in a loop.