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Introduction

Weave is a lightweight toolkit for tracking and evaluating LLM applications, built by Weights & Biases.

Our goal is to bring rigor, best-practices, and composability to the inherently experimental process of developing AI applications, without introducing cognitive overhead.

Get started by decorating Python functions with @weave.op().

Weave Hero

Seriously, try the 🍪 quickstart 🍪 or Open In Colab

You can use Weave to:

  • Log and debug language model inputs, outputs, and traces
  • Build rigorous, apples-to-apples evaluations for language model use cases
  • Organize all the information generated across the LLM workflow, from experimentation to evaluations to production

What's next?​

Try the Quickstart to see Weave in action.