Agent-as-a-Router: Agentic Model Routing for Coding Tasks
- Published
- Source
- arXiv
- Paper number
- 481
- Field
- AI / General
- arXiv ID
- 2606.22902
Key points
- Experiments show that the performance bottleneck in LLM routers is information deficit, not a lack of reasoning ability.
- When performance statistics are provided, it outperforms heuristic routers by 15.3% relative improvement.
- The Context-Action-Feedback loop continuously accumulates execution-based experience in streaming tasks.
- ACRouter reaches 49.98% AvgPerf in distribution and 62.50% AvgPerf on out-of-distribution agentic programming.
- Static routers such as classifiers and bandits collapse out of distribution, but ACRouter preserves generalization.
- CodeRouterBench is a regret-based router evaluation environment with about 10K tasks, 8 LLMs, and execution-verified scores.
Paper links
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