https://tube.grossholtz.net/videos/watch/4d0bdf48-0891-49cc-b737-889be43a32e4 #flowiseai #flowise #openai #langchain Observability in LLM application is a critical component to creating production-ready applications. We can use LangSmith to analyse every step in the chain. 🙏 Support My Channel: Buy me a coffee ☕ : https://www.buymeacoffee.com/leonvanzyl 📑 Useful Links: LangSmith: https://www.langchain.com/langsmith 💬 Chat with Like-Minded Individuals on Discord: https://discord.gg/VwHZzbNawh 🧠 I can build your chatbots for you! https://www.cognaitiv.ai 🕒 TIMESTAMPS: 00:00 - Introduction 01:10 - Create Langsmith account 01:47 - Adding Langsmith to Flowise 02:50 - LangSmith API Key 03:40 - Viewing Langsmith traces 05:19 - Output Parser example 07:14 - Metadata tab 07:29 - Conversation with memory 11:32 - RAG example Sun, 05 Apr 2026 23:43:51 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.grossholtz.net https://tube.grossholtz.net/client/assets/images/icons/icon-512x512.png https://tube.grossholtz.net/videos/watch/4d0bdf48-0891-49cc-b737-889be43a32e4 All rights reserved, unless otherwise specified in the terms specified at https://tube.grossholtz.net/about and potential licenses granted by each content's rightholder.