Raindrop

This is a extensive monitoring and observability platform for AI agents that enables engineering teams, product managers, and AI practitioners to detect, diagnose, and optimize agent behavior in production, with real-time alerts for silent failures, end-to-end tracing of conversations and tool calls, and visualizations of abnormal trajectories and failure patterns. Its features include step-by-step tracing, fast semantic search, regex-based signals, topic clustering, user-frustration detection, A/B testing of prompts and models, and an experimentation framework for measuring model and tool performance, solving issues such as degraded response quality, forgotten context, looping or unhelpful interactions, and spikes in user reports for teams building production AI applications.

Raindrop pode ser encontrado em Application Monitoring & Observability categorias.