4 docs tagged with "langsmith"

A trace tells you one run went wrong. A dataset lets you check whether a prompt or model change made things better or worse across many runs at once — the LLM equivalent of a regression test suite.

The Prompt Hub stores prompts outside your codebase, versioned by commit hash, and lets you pull the current (or a pinned) version at runtime.

"LangChain" is often used loosely to mean four separate projects that compose together: LangChain

LangSmith tracing records every step a LangChain/LangGraph run takes — each model call, tool call, and retriever lookup — as a nested tree you can inspect after the fact. It's the fastest way to find which step in a multi-step chain produced a bad answer.