 This leads to the tool making many more web page requests, resulting in large amounts of resource consumption An attacker continuously bombards the LLM with input that exceeds its context window.  The attacker may use automated scripts or tools to send a high volume of input, overwhelming the LLM's processing capabilities.  As a result, the LLM consumes excessive computational resources, leading to a significant slowdown or complete unresponsiveness of the system An attacker sends a series of sequential inputs to the LLM, with each input designed to be just below the context window's limit.  By repeatedly submitting these inputs, the attacker aims to exhaust the available context window capacity.  As the LLM struggles to process each input within its context window, system resources become strained, potentially resulting in degraded performance or a complete denial of service An attacker leverages the LLM's recursive mechanisms to trigger context expansion repeatedly