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Скачать или смотреть Learn LangSmith Step by Step With This Simple Guide | Customize Run Types for Better AI App Debug

  • GrabDuck!
  • 2025-07-08
  • 259
Learn LangSmith Step by Step With This Simple Guide | Customize Run Types for Better AI App Debug
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Описание к видео Learn LangSmith Step by Step With This Simple Guide | Customize Run Types for Better AI App Debug

While exploring ways to debug AI apps more effectively, we dive into LangSmith Intro – Understand and Customize Run Types for Better AI App Debugging — a hands-on guide to making sense of what actually happens inside your LLMs, tools, and retrievers.

In this short LangSmith tutorial, you’ll learn how to use run types, the traceable decorator, and manual wrappers to gain better visibility into your OpenAI calls and app behavior. Whether you’re building with LangChain or working without any framework, this is a practical way to monitor AI apps, improve debugging, and better understand how to build and run AI agents.

This video is part of “Monitoring AI Apps with LangSmith: A Beginner’s Guide,” a devops-style course for developers who want more than just logs. Includes tips for how to make AI agents work reliably in production.

I get it—tech content takes time to research, code, and polish. If my videos have helped you save time, avoid headaches, or just made debugging less painful, a coffee would be highly appreciated! https://buymeacoffee.com/grabduck

00:00 – Intro and quick recap of LangSmith concepts
01:00 – Run types explained: what they are, how to set them, and why they matter for debugging
05:54 – Levels of tracing: automatic detection, @traceable, with_trace, and OpenAI wrappers

🌟 Related Courses & Tutorials

• LangGraph Into – Want to explore more about creating agentic AI application using LangGraph? Check out other videos in this tutorial series!
   • LangGraph Intro  

💡 Explore More:
Check out the GitHub repo with all the code we used in this session: https://github.com/esurovtsev/langsmi...

#aidevelopment #aiintegration #aiprogramming

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Hi, I’m Evgeny, a freelance software engineer passionate about solving complex problems with technologies like Java, Kotlin, Spring Boot, TypeScript, Python, and Node.js. On this channel, you’ll find content centered around AI, search technologies, and security, with in-depth coding sessions and theoretical discussions to enhance your knowledge. Join me as we explore the latest innovations in backend development and beyond.

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