Raindrop

Trace AI agent behavior, investigate recurring failures, and test changes.

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Meet Raindrop

Raindrop helps teams observe AI agents and investigate problems that emerge in production. It collects traces of messages and tool calls, groups recurring failures into issues, and keeps the original runs available as evidence. Developers can follow a problematic interaction, examine its context, and understand how similar behavior affects other users.

Simulation tools bring checks into the development workflow so proposed changes can be evaluated before merging. Teams can then compare the updated behavior against production traffic to see whether the issue improves. Raindrop connects monitoring, investigation, and verification rather than leaving agent traces as an isolated collection of logs.

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