Agent Observability Best Practices with Opik скачать в хорошем качестве

Agent Observability Best Practices with Opik

Learn how to build and debug AI agents with observability in mind. In this talk, Claire Longo, an AI researcher and developer advocate at Comet, breaks down what it truly means to design agentic systems, how LLM-based agents differ from traditional reinforcement learning models, and why observability is crucial at every step. Claire shares best practices and tools—including Opik, Comet’s open-source LLM evaluation platform—for measuring, improving, and scaling your agents in production. Subscribe for more walkthroughs, best practices, and tools for building reliable GenAI systems. Learn more about agent optimization with Opik, by Comet: https://www.comet.com/site/products/o... ✨ Links and resources: Opik GitHub: https://github.com/comet-ml/opik CrewAI: https://github.com/joaomdmoura/crewAI Agent architecture examples (Medium):   / muhammadlone   Connect with Claire:   / clairelongo