Weights & Biases Weave
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LLM tracing and evaluation toolkit from Weights & Biases for developing generative AI applications.
Logs and debugs LLM inputs, outputs, and execution traces via a lightweight decorator-based SDK, and provides an evaluation framework for comparative assessment of LLM use cases. The SDK is Apache-2.0 licensed, primarily Python with a TypeScript SDK, and reports into the Weights & Biases platform. Requires a W&B account, which has a free tier.
Strengths
- Minimal instrumentation via the weave.op decorator
- Evaluation framework for structured, comparative LLM assessments
- Integrates with the broader Weights & Biases ML experiment platform
- Apache-2.0 licensed client SDK
Tradeoffs
- Tied to a W&B account and backend rather than a standalone self-hosted store
- TypeScript SDK is less mature than the Python SDK