The Plan-and-Execute pattern is an alternative to the popular ReAct pattern for AI agents. While ReAct interleaves reasoning and action, Plan-and-Execute separates planning from execution, making it better suited for tasks that require a clear sequence of steps. This article provides a demo to show how Plan-and-Execute works in practice, including code structure and key components like the planner and executor. It also discusses scenarios where this pattern excels, such as complex workflows with dependencies. Developers can use this knowledge to design more robust and efficient agents.
A practical guide to choosing between Plan-and-Execute and ReAct patterns for AI agent development.