> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langtrace.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Tracing Overview

Tracing is a fundamental feature of Langtrace that enables the collection and analysis of data from your LLM applications. This overview introduces key concepts and components of the tracing system.

<img src="https://mintcdn.com/langtraceai-2/-UwpI0EgGcwfnnlh/images/tracesoverview.png?fit=max&auto=format&n=-UwpI0EgGcwfnnlh&q=85&s=50453abe1d4851dec2e17d3532c67c80" alt="Tracing Image" width="2464" height="1386" data-path="images/tracesoverview.png" />

## What is Tracing?

In the context of Langtrace, tracing refers to the process of capturing detailed information about the execution of your LLM apps. This includes data such as:

* Input and output tokens
* Response times
* Model parameters
* User feedback
* Custom attributes

## Core Components

### SDK

The Langtrace SDK is the primary tool for implementing tracing in your application. It:

* Integrates easily with your existing codebase
* Collects traces automatically
* Allows for custom attribute tracking

### Dashboard

The Langtrace Dashboard provides a web interface for:

* Visualizing collected traces
* Analyzing performance metrics
* Identifying trends and anomalies

## Next Steps

The following sections will dive deeper into specific tracing features and provide implementation guides for various use cases.