A Context Window is the maximum amount of information a language model can process and remember during a single interaction. It determines how much conversation history, instructions, and external data the model can consider when generating responses.
Voice AI platforms rely on Context Windows to maintain natural conversations, remember previous exchanges, and process knowledge base content. Larger context windows improve multi-turn conversations, agent reasoning, and task completion.