AI article
4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost
Community description: Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Dev.to | Sep 12, 2026 | Debashish Ghosal
Automated excerpt
Assumption 1: the provider will always respond. The scale that breaks them: 40 corpora × 2 models = 4,768 runs, roughly 2,384 trajectories per model, several LLM calls per trajectory. The sweep completed end to end. 40 corpora, 2 models, 4,768 runs.
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