bandits

Trace mining for post-training: reads agent traces (OTel, Langfuse, Claude Code), judges each step by the tool's reaction rather than the agent's claim, distills the LLM judge into deterministic Python checks a human signs off on, and exports labeled SFT rows with full lineage. Its bundled Jev recipe trains a decision model on those labels with an honest scorecard — their Qwen3.5-4B reports 79.1% vs Jev's 66.8% on 1,920 held-out AgentProcessBench steps.