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Your LangGraph agent has no dashboard and no alerts out of the box. Here's how to fix that with LangFuse and Grafana. - LangGraph emits data through two parallel observability pipelines - LangFuse SDK captures trace-level detail: inputs, outputs, latency per step - Grafana pulls it all together into a live, actionable monitoring dashboard - You get alerts and visibility without building custom tooling from scratch LangGraph agent monitoring, LLM observability, and production AI agent debugging are some of the hardest parts of shipping real AI systems. This short covers the core stack — LangFuse for trace collection and Grafana for dashboards — so you can monitor LLM behavior, catch regressions, and understand exactly what your agent is doing at every step. #ai #aiagents #pyhton #coding #langgraph