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The article discusses how Dash evolved from a basic search system to an agentic AI by implementing context engineering. It highlights strategies like limiting tool definitions, filtering relevant context, and introducing specialized agents to improve decision-making and performance.
This article discusses three new features for AI agents that improve their ability to work with multiple tools efficiently. The Tool Search Tool allows tools to be discovered on-demand, Programmatic Tool Calling streamlines workflows through code, and Tool Use Examples help agents learn proper tool utilization.