HomeToolsMCPHow It WorksStoriesPhilosophyArchitectureStar on GitHub
All Tools
W
MonitoringFreemiumOpen Source

W&B WEAVE

Track, test, and improve language model apps

Apache-2.0

ABOUT

LLM applications and agents are hard to evaluate after the prompt leaves a notebook: teams lose visibility into traces, cannot compare prompt or model changes reliably, and struggle to monitor quality, latency, cost, and safety in production. W&B Weave captures traces, supports evaluation workflows, and helps teams compare versions and monitor real application behavior over time.

INSTALL
pip install weave

INTEGRATION GUIDE

1. Trace and debug LLM application inputs, outputs, and call trees during development 2. Evaluate model or agent responses with judges, scorers, and repeatable test datasets 3. Compare prompts, datasets, and application versions across experiments and releases 4. Monitor production AI quality, latency, token usage, and cost trends over time

TAGS

observabilitytracingevaluationllmagentsmonitoringdebugging