Weave
Observability, evaluation, and monitoring for AI applications and agents.
What is Weave?
Weave is an AI application observability platform from Weights & Biases for teams building and operating agents. It brings tracing, evaluations, monitoring, and guardrails into one workflow for understanding and improving agent behavior.
The platform organizes agent activity into sessions, turns, steps, tools, and sub-agents. This gives teams a way to inspect multi-turn and multi-agent execution when diagnosing failures that are difficult to see in isolated model calls.
Weave also includes an evaluation framework for comparing changes to prompts, agent harnesses, and models. Teams can use it to measure an iteration and catch regressions before those changes reach users.
For production feedback, it supports built-in and custom signals that classify agent interactions, plus alerts that route through Slack or webhook automations. It is aimed at developers operating AI agents that need an ongoing loop between production behavior and engineering improvements.
Weave Features
Production observability for agents
Weave provides end-to-end observability for teams monitoring production agent behavior. It pairs monitoring with signals intended to surface failure modes and an evaluation framework for preventing regressions as an agent changes.
Evaluation before release
The evaluation framework lets teams compare changes to agent context, harnesses, and models. It provides comparisons and visualizations designed to identify regressions before a change is released to users.
Signals and alerts for production feedback
Built-in and custom signals capture and classify agent interactions for ongoing behavior monitoring. Teams can route alerts through Slack notifications and webhook automations when a production signal needs attention.
Pricing
Pricing not verified
User reviews
No reviews yet. Be the first to review this tool.
Log in to write a review.