 In LLMs, the context window represents the maximum length of text the model can manage, covering both input and output.  It's a crucial characteristic of LLMs as it dictates the complexity of language patterns the model can understand and the size of the text it can process at any given time.  The size of the context window is defined by the model's architecture and can differ between models.  Common Examples of Vulnerability Posing queries that lead to recurring resource usage through high-volume generation of tasks in a queue, e. g