traceloop/langserve-demo

This is a demo project that shows how to combine two tools: LangServe, which lets you turn AI-powered features into web apps, and OpenLLMetry, which helps you monitor what those AI features are actually doing behind the scenes. Together, they let you build an AI app and keep tabs on how it behaves when people use it. At a high level, you use a command-line tool to assemble pieces of AI functionality, like question-answering systems or document summarizers, into a single app. Once assembled, you run a command to start the app as a local web service. You can also optionally connect it to LangSmith, a tool for tracing and debugging AI interactions so you can see step-by-step what your AI did and where things might have gone wrong. The project also includes instructions for packaging the whole thing in a container, which is a standardized way to bundle an app so it runs the same way on any machine. Someone who would use this is a developer or technical founder who wants to ship an AI feature, say, a chatbot that answers questions about their company's documentation, and needs a straightforward starting point. Instead of building the infrastructure from scratch, they can use this demo as a template, plug in their AI logic, and get a running web service with monitoring built in. The README doesn't go into much detail about the OpenLLMetry integration specifically or what monitoring data you'd actually see. It's mostly setup instructions, so you'd need to be comfortable with command-line tools and environment variables to get it running.