---
title: Overview
slug: /observability/overview
---

Observability is crucial for understanding, debugging, and improving the behavior of AI agents. It involves monitoring, logging, and visualizing the internal state and execution flow of your agents.

Within the VoltAgent framework, observability helps you:

- **Debug complex interactions:** Trace the flow of execution, inspect messages, and understand why an agent made specific decisions or used certain tools.
- **Monitor performance:** Identify bottlenecks or inefficiencies in your agent's logic.
- **Improve reliability:** Catch errors and unexpected behavior during development and testing.
- **Gain insights:** Understand how your agent interacts with tools, memory, and external systems.

The primary tool for observability in VoltAgent is the **VoltOps LLM Observability**. It provides a web-based interface to visualize and inspect your agent's activity in real-time.

![VoltOps LLM Observability Platform](https://cdn.voltagent.dev/readme/demo.gif)

Learn more about how to use it on the [VoltOps LLM Observability](./developer-console.md) page.
