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Solving the Agent Efficiency Paradox: Deterministic Tool Selection vs. Probabilistic Reasoning

This story is from 2026-09-21. It is preserved in the archive; the latest stories are on the live feed.

When building autonomous agents, we often treat tool selection as a pure reasoning problem. We assume that if we provide a sufficiently large context window and clear descriptions, the LLM will naturally pick the most appropriate function for the job. But in production, this probabilistic approach…

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  1. 2026-09-21 04:52 · DEV Community — AI
    Solving the Agent Efficiency Paradox: Deterministic Tool Selection vs. Probabilistic Reasoning

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