langchain-ai/langsmith-cookbook ? reverse-engineered prompt
Reverse engineered prompt
Build me a LangSmith cookbook repository with a bunch of practical example notebooks that show how to debug, trace, test, and improve LLM apps.
I want it organized into clear sections like tracing, hub examples, testing and evaluation, optimization, feedback examples, fine tuning examples, and a few JavaScript or TypeScript testing examples too. The main goal is to help someone learn by running real examples, not by reading a long tutorial.
Make the notebooks feel hands on and easy to follow, with simple sample apps like RAG, chatbots, extraction, agents, and multimodal checks. Include examples for tracing without LangChain, nested tool calls, prompt versioning, regression tests, backtesting, exporting results, and scoring outputs against labels. If there are current LangSmith docs or APIs I should use, look them up online and keep the examples up to date.
Keep the repo clean, readable, and friendly for people who want to copy a notebook, run it, and adapt it to their own project.
Are you gonna build this?
make sure you review the code using coderabbit