For a limited time, the new W&B Inference service is included in your free tier. W&B Inference provides access to leading open-source foundation models via API and the Weave Playground.
Weights & Biases (W&B) Weave is a framework for tracking, experimenting with, evaluating, deploying, and improving LLM-based applications. Designed for flexibility and scalability, Weave supports every stage of your LLM application development workflow:
  • Tracing & Monitoring: Track LLM calls and application logic to debug and analyze production systems.
  • Systematic Iteration: Refine and iterate on prompts, datasets, and models.
  • Experimentation: Experiment with different models and prompts in the LLM Playground.
  • Evaluation: Use custom or pre-built scorers alongside our comparison tools to systematically assess and enhance application performance.
  • Guardrails: Protect your application with pre- and post-safeguards for content moderation, prompt safety, and more.
Integrate Weave with your existing development stack via the: Weave supports numerous LLM providers, local models, frameworks, protocols, and third-party services.

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Get started

Are you new to Weave? Set up and start using Weave with the Python quickstart or TypeScript quickstart.

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Advanced guides

Learn more about advanced topics:
  • Integrations: Use Weave with popular LLM providers, local models, frameworks, and third-party services.
  • Cookbooks: Build with Weave using Python and TypeScript. Tutorials are available as interactive notebooks.
  • W&B AI Academy: Build advanced RAG systems, improve LLM prompting, fine-tune LLMs, and more.