Langfuse: Monitor AI Agent Cost and Latency #aiagents #coding #llm #code #ai #python #programming

Description

Your AI agent is running — but do you actually know what it's doing? Langfuse gives you full visibility into traces, model costs, token usage, and latency across every agent step. What you learned in this Short: - How to view per-step latency (research vs summarize) - How to track total traces in Langfuse - How to monitor token usage and model costs - How to compare model performance at a glance - Why observability is non-negotiable for production AI agents If you're building AI agents and not monitoring them, you're flying blind. Langfuse is one of the best open-source LLM observability tools available right now. In this Short, we look at real latency data — 15s for research, 5s for summarize — and walk through the Langfuse dashboard for cost tracking, model usage analysis, and trace inspection. Essential for any engineer working with LLMs in production. #ai #aiagents #python #coding #grafana