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Latency-Quality Routing for Functionally Equivalent Tools in LLM Agents

Dawei Xiang, Kexin Chu, Wei Zhang

LQM-ContextRoute routes LLM agents to equivalent tool providers by expected answer quality per service cycle rather than additive rewards.

arxiv:2605.14241 v1 · 2026-05-14 · cs.LG

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Claims

C1strongest claim

On the main web-search load benchmark, LQM-ContextRoute improves F1 by +2.18 pp over SW-UCB while staying on the latency-quality frontier; in high-heterogeneity StrategyQA it improves accuracy by up to +18 pp.

C2weakest assumption

That LLM-as-judge feedback provides a sufficiently reliable and unbiased signal for online adaptation without gold labels at deployment time.

C3one line summary

LQM-ContextRoute routes tool calls by expected quality per service cycle using contextual bandits and LLM-as-judge feedback, yielding +2.18 pp F1, up to +18 pp accuracy, and +2.91-3.22 pp NDCG gains over SW-UCB on web-search, StrategyQA, and retriever benchmarks.

References

25 extracted · 25 resolved · 7 Pith anchors

[1] 1966.Lectures on Functional Equations and Their Applications, volume 19 ofMathematics in Science and Engineering 1966
[2] Learning to route llms from bandit feedback 2025
[3] https://modelcontextprotocol 2026
[4] https://docs.litellm 2026
[5] Thompson Sampling contextual bandit over heterogeneous tools (PubMed, drug DBs, calculator, web) with composite reward including latency

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First computed 2026-05-17T23:39:10.652061Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7edf8794914c8d3aa11e5d556de539861ab87e6e56d9c2d1c54fc173e7e939e5

Aliases

arxiv: 2605.14241 · arxiv_version: 2605.14241v1 · doi: 10.48550/arxiv.2605.14241 · pith_short_12: P3PYPFERJSGT · pith_short_16: P3PYPFERJSGTVII6 · pith_short_8: P3PYPFER
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3PYPFERJSGTVII6LVKW3ZJZQY \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7edf8794914c8d3aa11e5d556de539861ab87e6e56d9c2d1c54fc173e7e939e5
Canonical record JSON
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