Learning to Construct Practical Agentic Systems

In three linesarXiv paper proposing principled approaches for designing practical LLM-based agentic systems. Framework with "pseudo-tools" recursively calling LLMs on restricted context. Hand-engineered fixed workflows are cheaper and more accurate than dynamically-planned workflows. Learning methods for pseudo-tools and fixed workflows outperform hand-engineered agents.

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