Medium LLM
7/10 signal
Intent Routing Mesh: LLM Ajanlarında Deterministik Servis Yönlendirmesi ve Halüsinasyon Kontrolü
multi-agenttool-useagentic
What happened
This article outlines the 'Intent Routing Mesh' architecture designed to solve the 'God-Agent' antipattern (loading a single agent with too many tools, leading to context bloat and tool hallucinations). It proposes using a vector-based intent classifier to deterministically route user requests to specialized, constrained sub-agents.
Why it matters
It provides a concrete architectural pattern to mitigate tool hallucination and reduce token costs in complex agentic systems.
The take
This is a highly practical architecture. As you scale agentic systems, tool selection reliability drops drastically. Moving from a single LLM choosing among 50 tools to a deterministic router directing to specialized agents is a standard production-grade pattern that more builders should adopt.
Do this
If your agent's tool selection is failing due to tool bloat, refactor your architecture to use a deterministic routing layer (like semantic routing) to split the workload among specialized sub-agents.
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