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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture 投稿は個人の意見です。
加入 May 2026
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A support agent session that spans nine turns and sixty messages — can you spot where it went wrong at a glance? Title: Trajectories now in LangSmith: A readable view of every agent session URL: LangSmith just shipped Trajectories, a new view that flattens every message in a thread into a single readable, chronological timeline. Highlights 🔍 A flattened, chronological view Complex execution traces full of subagent handoffs, tool calls, and retries get reduced to just the human, AI, and tool messages in order — making it easy to spot things like redundant tool reuse. 👥 Built for SME review, not just engineers Clinical intake agents, financial compliance handling, and support escalation policies can all be reviewed by domain experts in an annotation queue, without parsing raw trace metadata. 🎓 Doubles as post-training data High-quality trajectories export directly into SFT pipelines, capturing system prompts, user messages, tool calls, and outputs as real production examples. Feels like a real step toward democratizing agent debugging beyond just engineers. #LangSmith# #AIAgents#
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