Context Windows

A practical example

Example: an agent asked to summarize two years of support tickets and CRM notes for an enterprise account may exceed the window, forcing the platform to select or condense which records the model actually sees.

What to evaluate before investing

• Ask vendors which model and context size each agent uses, and whether the same model serves all workflow steps.
• Test with your largest real account: does output quality degrade when history is long, and does the platform disclose what was truncated?
• Ask how the platform handles overflow — automatic summarization, retrieval-based selection, or silent dropping of older content.

Limitations and tradeoffs

Tradeoff: larger windows cost more per request and do not guarantee better answers, since models can lose focus in very long inputs. Capacity figures are a ceiling, not a quality measure.