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SchemaRouter introduces a lightweight schema-graph routing layer for heterogeneous agentic RAG systems, minimizing retrieval overhead by selecting only necessary tools and fields while maintaining answer accuracy and provenance attribution.
Nexus proposes a depth-adaptive KV-cache splicing and retrieval-decoupled tool routing method for agentic LLMs on unified memory, reducing prefill overhead and improving time-to-first-token while maintaining output fidelity.
The article summarizes recent AI research on scoring mechanisms for agents, discussing safety score limitations, tool routing optimizations, and challenges with reward signals during training.
The author @apivixtls released the reverse-skill tool, an AI Agent workflow routing and tool orchestration system designed specifically for reverse engineering and security analysis, and demonstrated its powerful capabilities in scenarios such as Go disassembly, APK decompilation, and Web vulnerability exploitation.
This paper introduces LQM-ContextRoute, a contextual bandit router for selecting between functionally equivalent tool providers in LLM agents, balancing latency and answer quality. It outperforms baselines on web-search and retriever benchmarks.