2026-10-19 · America/Los_Angeles · 行业新闻 · #12

Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces

Hi HN, we’re Robert and Din from Laminar (https://laminar.sh). We’ve been building open-source observability for AI agents since 2024. Recently, we released flow-1, a model trained with RL to find errors in agent traces. On our benchmark (https://laminar.sh/blog/flow-1), it matches GPT-6-sol in detection quality while being 23x cheaper. This makes it affordable to analyze every production agent trace, without sampling. Here’s a one-minute walkthrough: https://youtu.be/KJa3h6ZJNLQ We also put together a post with example traces and analyses from flow-1 and other models:…

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