Replace agent classification steps with optimized small models to cut latency and cost
LangChain · x · 2026-09-18
- In "Building a Harness with Jev," sydneyrunkle explains that agents run in a loop: an LLM decides, a tool executes, a model evaluates, and the loop continues until done.
- Many agents perform classification-style steps; swapping them for classification-optimized models can massively reduce latency and cost.
- She argues Jev is rekindling the "graph engineering" phase of agent design.
Related event: LangChain Tutorial Shows How to Build Agent Harnesses with Jev(4 posts)→
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