Loading all available tools into an LLM’s context simultaneously is one of the most consequential architectural mistakes teams make when building AI integrations. The solution isn’t bigger context windows, and it’s progressive tool exposure: dynamically presenting only the tools relevant to each interaction. This post surveys the major patterns for doing so, drawn from production servers, […]
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