FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing
Enterprise routers assign queries to expert agents, yet deployed profiles stay static while agents evolve (prompts, tools, models), and developers rarely keep descriptions or exemplars current. We present FlyRoute, a self-evolving profiling framework that grows capability evidence from real traffic: dispatch candidates, quality-gate successful pairs into each agent's success store, periodically distill evidence into learned capability descriptions, and inject those descriptions together with BM25-retrieved successes into an LLM router. To make this flywheel data-efficient, FlyRoute introduces a targeted exploration policy that combines profile uncertainty, BM25 relevance, and lexical nove...
| Authors | Rongjun Li, Ziyu Zhou, Yihang Wu |
|---|---|
| Primary category | cs.CL |
| Published | 21 May 2026 |
| Last updated at source | 23 July 2026 |
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