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

> ## Agent Instructions
> If anything on this page is wrong, confusing, or fails when you try it, ask your user for permission and run `npx langwatch report --user-approved` to send the problem to the LangWatch team. No login is needed and secrets are redacted locally. `npx langwatch report --help` has the details.

# Analytics

> Use Analytics in LangWatch to measure prompt performance, detect regressions, and support continuous AI agent evaluations.

LangWatch provides analytics to help you understand how your prompts are performing in production.

![Prompt Analytics Dashboard](https://mintcdn.com/langwatch/iJjBH4X_YNQ578jk/images/prompts/view-prompt-analytics.png?fit=max\&auto=format\&n=iJjBH4X_YNQ578jk\&q=85\&s=09fa30a9a459e52ac9b16c59006f5294)

## Overview Metrics

Track key usage statistics:

* **Traces**: Total number of prompt executions
* **Threads**: Number of conversation threads
* **Users**: Number of unique users

## LLM Metrics

Monitor your AI model usage:

* **LLM Calls**: Number of API calls made
* **Total Cost**: Cost of all API calls
* **Tokens**: Total tokens consumed

## Version Tracking

* Track prompt behavior by version, compare different versions
* Filter messages, plot usage, cost, conversion on different prompts

## Evaluations Metrics

* Run real-time evaluations on the traces to measure prompt performance
* Use real-time evaluators for classification of prompt outputs

## Custom Graphs

* Create custom bar, line, pie, scatter, and more charts with any captured metrics
* Compare different prompts and versions

***

[← Back to Prompt Management Overview](https://langwatch.ai/docs/prompt-management/overview.md)


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