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LLMs: recibos para depurar tool calls

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

Cuando un LLM llama una herramienta, el resultado visible suele ser solo “éxito” o “fallo”. Eso alcanza para una demo, pero se queda corto en una automatización real. Si una llamada se repite, tarda demasiado o devuelve un dato inesperado, el equipo necesita reconstruir qué ocurrió sin leer todo el…

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  1. 2026-09-13 02:22 · DEV Community — AI
    LLMs: recibos para depurar tool calls

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