COMPASS: Routing via Capability-Oriented Model Profiling with Adaptive Search, Selection, and Tool Use

COMPASS is an agentic router that uses a capability-oriented model profiling approach to select large language models (LLMs) efficiently. It follows a routing recipe, gathers performance and cost evidence through tools, and can inspect candidate answers before making a selection. In evaluations on LLMRouterBench and DeepSWE, COMPASS improves accuracy while reducing model‑call cost compared to specialized and trained routing baselines, and it can adapt to new models without retraining.

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• llms
• agents
• benchmarks