AI RESEARCH
FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing
arXiv CS.CL
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ArXi:2605.22057v1 Announce Type: new 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, periodically distill evidence into learned capability descriptions, and inject those descriptions together with BM25-retrieved successes into an LLM router.