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Roteamento multi-LLM na prática: 16 modelos, escada de complexidade e FinOps que dispara

This story is from 2026-10-07. It is preserved in the archive; the latest stories are on the live feed.

TL;DR (English). geo-orchestrator routes each task of a natural-language request across 16 LLMs from 5 providers by task type, complexity, cost and provider health. Every task type keeps a fallback chain whose top two slots come from different vendors; the two frontier models (US$ 10/50 per million…

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  1. 2026-10-07 19:55 · DEV Community — AI
    Roteamento multi-LLM na prática: 16 modelos, escada de complexidade e FinOps que dispara

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