---
title: 'Exceptions Monitoring'
description: "Record Exceptions Automatically and See detailed Stack Traces"
---

OpenLIT effortlessly integrates exception monitoring into your AI engineering workflow, empowering you to automatically track exceptions in Python and TypeScript applications. This integration provides vital insights into application errors without requiring extensive code changes.

## Features

- **Automatic Exception Monitoring**: With our SDKs for Python and TypeScript, monitor exceptions seamlessly without altering your application code base significantly. This feature simplifies error tracking and debugging.

- **Detailed Stacktraces**: Access comprehensive stacktrace information for all caught exceptions, providing insight into where things went wrong.

- **Integration with Traces**: Leverage OpenTelemetry-powered trace data to capture exceptions within request flows. By visualizing exceptions on trace graphs, you'll gain richer context for debugging, understanding precisely where exceptions occur in your execution path.

## Get Started

1. **Log in** to the OpenLIT.
2. Go to the **Exceptions** page.
3. View all the exceptions and error traces and debug.

<CardGroup cols={2}>
<Card title="Integrations" href="/latest/integrations/introduction" icon='circle-nodes'>
Integrate your AI Stack with OpenLIT 
</Card>
<Card title="Connections" href="/latest/connections/intro" icon='link'>
Connect to your existing Observablity Stack
</Card>
</CardGroup>