> ## 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.

# Overview

> Organize, version, and optimize your AI prompts with LangWatch's prompt management system

> [!TIP]
>
> **Automated setup available.** [Copy the prompts skill prompt](https://langwatch.ai/docs/skills/directory.md) into your coding agent to set up prompt versioning automatically.

LangWatch's prompt management system helps you organize, version, and optimize your AI prompts across your application. It keeps prompts consistent, tracks every change, and lets your team work on them together.

> [card] [Prompt Playground](https://langwatch.ai/docs/prompt-management/prompt-playground.md)
>
> Use LangWatch’s Prompt Playground to edit, test, and iterate prompts with versioning, analytics, and AI agent test feedback loops.

> [card] [Prompts CLI](https://langwatch.ai/docs/prompt-management/cli.md)
>
> Manage prompts directly in your codebase with our CLI.

> [card] [Workflows](https://langwatch.ai/docs/workflows/overview.md)
>
> Use your prompts in workflows, evaluate them on a dataset and publish the result.

> [card] [DSPy Optimizations](https://langwatch.ai/docs/dspy-visualization/quickstart.md)
>
> Visualize your DSPy optimizations in LangWatch.

> [card] [Tags](https://langwatch.ai/docs/prompt-management/features/essential/tags.md)
>
> Manage deployment stages with production, staging, and custom tags for your prompts.

## What You Can Do

* **Organize prompts** in a centralized library accessible to your entire team
* **Edit and test** prompts interactively using the Prompt Playground with AI assistance
* **Track changes** with full version history and easy rollback capabilities
* **Test and iterate** on prompts inside Workflows, against a dataset
* **Collaborate effectively** with team members on prompt development
* **Integrate** with your existing workflows via API
* **Tag versions** for deployment stages like production, staging, and custom environments
* **Monitor performance** by linking prompts to execution traces

## Getting Started

Start with the [quick start guide](https://langwatch.ai/docs/prompt-management/getting-started.md) to create your first managed prompt.

## Explore Further

* [Quick Start Guide](https://langwatch.ai/docs/prompt-management/getting-started.md) - Set up your first prompt
* [Prompt Playground](https://langwatch.ai/docs/prompt-management/prompt-playground.md) - Interactive workspace for editing and testing prompts
* [Understanding Prompts](https://langwatch.ai/docs/prompt-management/data-model.md) - Learn about prompt structure
* [Analytics](https://langwatch.ai/docs/prompt-management/features/essential/analytics.md) - Monitor prompt performance
* [Version Control](https://langwatch.ai/docs/prompt-management/features/essential/version-control.md) - Manage prompt versions
* [Link to Traces](https://langwatch.ai/docs/prompt-management/features/advanced/link-to-traces.md) - Connect prompts to execution traces
* [Tags](https://langwatch.ai/docs/prompt-management/features/essential/tags.md) - Manage deployment stages with tags
* [API Reference](https://langwatch.ai/docs/api-reference/prompts/overview.md) - Programmatic access to prompts


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