Harness Tokenomics: A Router for the Enterprise Agentic Control Plane

arXiv:2609.28919 · cs.AI, cs.CR · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.CR

Submitted: 2026-09-24

Updated: 2026-09-26

Code: https://github.com/gargpratyush/jev-router

Terminology

• Accuracy — 6× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Agent Skills — 3× in this paper · explained in 1 episode
• Agentic AI — 3× in this paper · explained in 1 episode
• Agentic Coding — 3× in this paper · explained in 1 episode
• Agentic Task — 2× in this paper · explained in 1 episode
• Agentic Tasks — 2× in this paper · explained in 1 episode
• Pruning — 2× in this paper · explained in 4 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Model Context Protocol — 1× in this paper
• Model Context Protocol (MCP) — 1× in this paper · explained in 8 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• The Shift to Agentic AI: Evidence from Codex
• Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
• Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
• Do Context Files Help Coding Agents? A Two-Agent Ablation Study on Real Repositories
• RouteLLM: Learning to Route LLMs with Preference Data
• FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
• LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing
• TraceLab: Characterizing Coding Agent Workloads for LLM Serving
• SWE-chat: Coding Agent Interactions From Real Users in the Wild
• Arch-Router: Aligning LLM Routing with Human Preferences
• Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study
• When Routing Collapses: On the Degenerate Convergence of LLM Routers
• UCCI: Calibrated Uncertainty for Cost-Optimal LLM Cascade Routing
• SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
• AgentServeSim: Serving-System Simulation and Policy Search for LLM Agent Programs
• Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks

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