MLflow(@MLflow):Teams keep adding agent harnesses. Claude Code, Codex, Cursor, and the rest each keep their own conventions, so observing a run across them is messy. @2twitme walks through that harness layer, then how @omnigent_ai puts coding agents and custom agents behind one common API. From there, @opentelemetry traces land in MLflow so you can see how the agent actually behaved. Watch the full walkthrough on how to trace and debug AI coding agents with Omnigent and MLflow. 🎥

MLflow

@MLflow

The open source developer platform to build AI applications and models with confidence.

加入 August 2018

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MLflow@MLflow

2026.10.23 20:22

Teams keep adding agent harnesses. Claude Code, Codex, Cursor, and the rest each keep their own conventions, so observing a run across them is messy. @2twitme walks through that harness layer, then how @omnigent_ai puts coding agents and custom agents behind one common API. From there, @opentelemetry traces land in MLflow so you can see how the agent actually behaved. Watch the full walkthrough on how to trace and debug AI coding agents with Omnigent and MLflow. 🎥

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