In this episode, we discuss following agent architectures:

• ReAct (Reason + Act): A method that alternates reasoning and actions, creating a powerful feedback loop for decision-making.
  
  
• Plan and Execute: Breaks down tasks into smaller steps before executing them sequentially, improving reasoning accuracy and efficiency. However, it may face higher latency due to the lack of parallel processing.
  
  
• ReWOO: Separates reasoning from observations, improving efficiency, reducing token consumption, and making the system more robust. However, inaccuracies in planning can lead to suboptimal outcomes.
  
  
• LLM Compiler: Enables parallel multi-tool execution, resulting in faster task completion and cost savings. It supports dynamic replanning but can face challenges with performance overheads and managing task dependencies.