Langflow Observability with OpenTelemetry and SigNoz
Learn how to implement end to end monitoring and observability for Langflow using OpenTelemetry and SigNoz.
In this video, we walk through instrumenting Langflow workflows, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real time visibility into flow execution, LLM requests, tool calls, token usage, latency, failures, and performance bottlenecks. Langflow ships with built in OpenTelemetry support, making it easy to export telemetry to SigNoz with minimal configuration.
Whether you're building AI agents, RAG pipelines, visual AI workflows, or production AI applications with Langflow, observability is essential for understanding how your flows behave in real world environments. You'll learn how to move beyond basic logging and adopt production grade observability practices that help you debug faster, optimize performance, reduce costs, and confidently operate Langflow at scale.
We also cover the prebuilt Langflow Dashboard in SigNoz, which provides out of the box visibility into flow execution, LLM requests, token consumption, model usage, latency trends, tool calls, and error rates.
What You'll Learn:
- How to monitor Langflow with OpenTelemetry
- How to trace flows, agents, tool calls, and LLM requests
- How to track latency, errors, and token usage
- How to visualize Langflow telemetry in SigNoz
Useful Resources:
Langflow Observability Documentation
https://signoz.io/docs/langflow-observability/
Langflow Dashboard Documentation
https://signoz.io/docs/dashboards/dashboard-templates/langflow-dashboard/
SigNoz LLM Observability Documentation
https://signoz.io/docs/llm-observability/
More About SigNoz:
SigNoz is an open source observability platform built on OpenTelemetry. It helps developers monitor applications, troubleshoot production issues, and gain visibility across metrics, logs, and traces from a single platform.
SigNoz can be used to monitor AI applications, AI agents, visual AI workflows, LLM workloads, microservices, Kubernetes environments, and distributed systems.
SigNoz Website
GitHub Repository
https://github.com/SigNoz/signoz
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