Agent context refers to the real-time information environment—such as user preferences, session history, or environmental data—that an AI agent accesses to tailor responses. It’s used to personalize interactions, improve decision-making, and enhance automation accuracy. Developers, customer support teams, and businesses benefit by delivering smarter, more relevant user experiences without manual input.
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