The original title is: "Building a Production Agent Eval Pipeline: Harbor + LangSmith + OpenAI SDK"

Short summary

LangChain demonstrates building a production-grade agent evaluation pipeline using Harbor sandboxes and LangSmith observability platform. The video shows moving from local testing to scaled, parallel agent evaluations with full tracing and isolated execution environments. Harbor provides dataset management and sandbox isolation, while LangSmith handles experiment tracking and detailed trace visualization.

• •Production agent evaluation requires isolation, structured datasets, and observability infrastructure
• •Harbor provides sandboxes and dataset management; LangSmith provides tracing and experiment tracking
• •Includes setup walkthrough with API keys and running evaluations against multiple concurrent tasks

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