Raindrop Workshop Enables Local Debugging and Evaluation of AI Agents
## Inside the New Local AI Debugger That’s Turning Agent Development Upside‑Down The Raindown Workshop daemon introduces a breakthrough for developers working with autonomous AI agents. By streaming every token, tool call, and decision into a compact *.db* file, the system enables real‑time inspection of agent behavior at `localhost:5899`. Within just 2 MB of storage, engineers obtain a complete trajectory of an agent’s actions—including both successes and failures—facilitating rapid debugging and systematic evaluation without reliance on external services. ### Key Takeaways - **Lightweight tracing**: All execution data is recorded in a minimal SQLite‑style database, keeping storage overhead under 2 MB per session. - **Real‑time visibility**: Developers can monitor token streams, tool invocations, and decision logic instantly via a local web interface. - **Open‑source foundation**: The daemon is publicly available, encouraging community contributions and integration with existing AI toolchains. - **Full agent provenance**: The trace captures end‑to‑end agent trajectories, allowing post‑mortem analysis of missteps and performance bottlenecks. - **Enhanced evaluation workflow**: By isolating agent runs locally, teams can conduct systematic testing and benchmarking without network latency or privacy concerns. [Read Full Article](https://news.ababil360.com/raindrop-workshop-enables-local-debugging-and-evaluation-of-ai-agents/) #AIdebugging #LocalAI #AgentDevelopment #OpenSourceTools #MachineLearning #DevOps #SoftwareEngineering #AITrace #TechInnovation #newsababil360
