Dev.to
7/10/2026

The original title is: "Adding Observability to a LangGraph Multi-Agent Pipeline with SigNoz"
Original: I Gave My AI Agent Pipeline a Nervous System with SigNoz
Short summary
A developer building a LangGraph-based multi-agent healthcare platform shares how they integrated SigNoz for end-to-end observability of their AI agent pipeline. The post covers why multi-agent systems need traces, metrics, and logs together, and walks through instrumenting a real agent slice to debug cross-agent failure modes that print statements can't catch.
- •Multi-agent AI systems have failure modes that scattered logs can't diagnose
- •SigNoz provides correlated traces, metrics, and logs for AI agent pipelines
- •Practical walkthrough of instrumenting a LangGraph agent slice for observability
Generated with AI, which can make mistakes.
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