Recursive harness search cuts coding-agent token use nearly in half

SoL-Pi combines four automatically selected harness mechanisms to preserve task performance while reducing token traffic and API costs.

Big Tech
Haozhe Liu · Tian Ye · Sensen Gao · Qihang Cao · Yitong Li · Mingchen Zhuge · +8 more

NVIDIA · NTU · MIT

Research Digest··2 min read
Liu et al.

The authors applied a recursive self-improvement-inspired process at the harness layer, repeatedly testing candidate changes across increasingly numerous and diverse rollout environments.

Why this paper

From NVIDIA and 2 others · Part of Agent Harness Optimization, now 67 papers

In one line

SoL-Pi reduces token traffic by 44.7-49.0% and API cost by about one third while matching Pi's performance on EdgeBench.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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