Workshop: Visualizing AI Agents in Action Using LangSmith Duration: 1 Hour Format: Hands-on, Outcome-Based Learning Overview: This interactive workshop dives into LangSmith, an advanced tool for debugging, monitoring, and optimizing AI agents. Participants will learn how to visualize AI agent workflows, track real-time decision-making, and improve LLM-based applications with actionable insights. Key Learning Outcomes: ✅ Understand AI Agent Behavior – Gain clarity on how AI agents process, reason, and execute tasks. ✅ Debug & Optimize AI Agents – Use LangSmith’s visualization tools to analyze and enhance agent performance. ✅ Track Agent Interactions – Monitor inputs, outputs, and decision pathways for AI-driven workflows. ✅ Improve Model Interpretability – Learn how to troubleshoot and refine prompts, retrieval mechanisms, and tool usage. ✅ Hands-on Demonstration – Implement a real-world use case showcasing an AI agent in action. Who Should Attend? 🔹 Developers, AI Engineers, and Data Scientists working with LLM-based agents. 🔹 AI practitioners interested in monitoring and debugging AI workflows. 🔹 Business leaders exploring AI-driven automation and decision-making. By the end of this workshop, you will have practical experience using LangSmith to optimize AI agents, making them more reliable, efficient, and interpretable for real-world applications.