Show HN: Ask your LLM traces what went wrong (vLLora) (vllora.dev)

vLLora has launched Lucy, an AI assistant designed to streamline the debugging process for agents that encounter failures during execution. Instead of manually sifting through extensive event traces that can stretch 200 spans deep, users can now simply ask Lucy straightforward questions in plain English. Lucy analyzes the traces and delivers clear diagnoses, pinpointing root causes and offering actionable next steps to address issues like tool schema mismatches, prompt contradictions, and silent failures such as output truncation. This innovation holds significant implications for the AI/ML community, particularly in improving productivity and reducing the time spent on troubleshooting. Agent failures often arise from complex chains of decisions that traditional debugging methods fail to unravel effectively. By efficiently identifying failure patterns and suggesting precise fixes, Lucy empowers developers to enhance agent reliability, ultimately saving on token costs and increasing quality. With Lucy integrated into vLLora’s infrastructure, users can quickly diagnose and resolve issues within their AI agents, facilitating smoother workflows and faster deployment. Lucy is available in beta for all vLLora users, making sophisticated debugging accessible and less time-consuming.