Briefing: AI Planning Framework for LLM-Based Web Agents

The emergence of Large Language Models (LLMs) as autonomous agents for web-based tasks poses both opportunities and challenges for system architecture.

These agents can interpret complex user requests, yet they often function as black boxes, complicating their integration into existing workflows.

Understanding the operational capacity and throughput of LLMs is crucial for optimizing their deployment in various applications.