Cover Image for Monitoring Agents with AgentOps
Cover Image for Monitoring Agents with AgentOps
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Monitoring Agents with AgentOps

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About Event

In this event, we’ll investigate AgentOps, a new open-source framework that provides session replays, metrics, monitoring, and “observability” for agents!

In short, this tool was made to help put more agents into production - we like that!

It integrates with leading frameworks like CrewAI, AutoGen, and LangChain, with more coming soon! We’ll take a close look at the key features of the new tooling, including:

  • 📊 Replay Analytics and Debugging

  • 💸 LLM Cost Management

  • 🔐 Compliance and Security

  • 🤝 Framework Integrations

Additionally, we’ll dig into and discuss their extensive roadmap; there’s a lot to look forward to related to eval, debugging, and more!

AgentOps is apparently “the easiest way” to evaluate, grade, and test agents. Join us to test out the claim!

As always, all content, from concepts to code, will be shared and your questions will be answered live!

📚 You’ll learn:

  • How AgentOps can help accelerate putting agents into production

  • The core tools that AgentOps provides, including session replays and session analytics

  • How to leverage AgentOps on top of a multi-agent application built with CrewAI

🤓 Who should attend the event:

  • Aspiring AI Engineers who want to understand the latest agent tools

  • AI Engineering leaders interested in building production-grade agent applications

Speakers:

  • Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021 he has built and led industry-leading Machine Learning education programs.  Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher.  He loves trail running and is based in Dayton, Ohio.

  • Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.

​Follow AI Makerspace on LinkedIn and YouTube to stay updated about workshops, new courses, and corporate training opportunities.

Avatar for Public AIM Events!
Presented by
Public AIM Events!
Hosted By
168 Went