Context Window
The maximum amount of text (measured in tokens) that an AI model can process and remember at once during a conversation or task. Larger context windows enable AI to handle longer, more complex interactions.
A context window defines how much information an AI model can actively process and retain during a single interaction. Think of it as the model's working memory—everything within the context window is immediately accessible, while information outside of it is forgotten.
In customer service AI, context window size directly impacts the agent's ability to handle complex queries. A larger context window allows the AI to reference earlier parts of long conversations, review multiple knowledge base articles simultaneously, and maintain coherent multi-step interactions without losing track of customer details.
Modern AI agents leverage expanding context windows to deliver more sophisticated support experiences. As context windows grow from thousands to millions of tokens, AI can process entire documentation libraries, conversation histories, and product catalogs within a single query—enabling more accurate, contextually relevant responses.