Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.22465.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

TRACE-Router is a task-level LLM routing framework for agentic AI that assigns each task to a model once at admission using a contextual bandit, then updates its policy from terminal task rewards. Across three agentic benchmarks it improves the accuracy-latency trade-off, beating baselines by 7-8 accuracy points with lower latency.

Targets the gap between per-call LLM routers and long-horizon agentic workflows, showing delayed task-level feedback yields better cost-quality routing than independent call-level decisions.

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