AI Engineering in Practice8 min read
Real-time agent debugging with Langfuse traces
How to debug a live agent incident using Langfuse traces. The search patterns, the 5-minute workflow, and the post-mortem that catches the root cause.
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8 posts in total
AI Engineering in Practice8 min read
How to debug a live agent incident using Langfuse traces. The search patterns, the 5-minute workflow, and the post-mortem that catches the root cause.
AI Engineering in Practice9 min read
How to use Langfuse trace data to find where your agent burns tokens. The 4 queries, the cost-per-user view, and the 50 percent savings patterns.
AI Engineering in Practice8 min read
How to combine Langfuse traces with Grafana dashboards for agent monitoring. The integration, the panels, and the alerting that catches real problems.
AI Engineering in Practice8 min read
How Prometheus metrics surface performance bottlenecks in agentic AI. The 3 queries, the alert rules, and the dashboard that finds hot loops fast.
AI Engineering in Practice8 min read
How to stress test an agentic AI service before it ships. Concurrency, tokens, latency budgets, and the load profile that simulates real traffic.
AI Engineering in Practice10 min read
How to instrument an agentic AI service with Prometheus. The 4 metrics that matter, the histogram trap, and the dashboard that surfaces regressions.
AI Engineering in Practice10 min read
How to wire Langfuse into an agentic AI service for full observability. The trace hierarchy, the decorator pattern, and what to log per span.
AI Engineering7 min read
Learn how to implement observability and guardrails in production AI systems. Covering logging, metrics, tracing, cost tracking, input/output validation...
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