---
title: "Simulate agent scenarios, trace failures, and watch production regressions with LangWatch"
description: "Run end-to-end agent simulations, review traces, and watch production regressions when reliability work spans pre-release testing and live monitoring."
verification: "listed"
source: "https://github.com/langwatch/langwatch"
author: "LangWatch"
publisher_type: "open_source_project"
category:
  - "Monitoring & Alerts"
framework:
  - "Custom Agents"
tool_ecosystem:
  github_repo: "langwatch/langwatch"
  github_stars: 3206
  npm_package: "langwatch"
  npm_weekly_downloads: 54718
---

# Simulate agent scenarios, trace failures, and watch production regressions with LangWatch

Run end-to-end agent simulations, review traces, and watch production regressions when reliability work spans pre-release testing and live monitoring.

## Prerequisites

LangWatch platform, your agent application traces, optional Docker for self-hosting

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Clone the repo and run docker compose up -d --wait --build for a self-hosted instance, or create a LangWatch account and project to start sending traces.
```

## Documentation

- https://docs.langwatch.ai/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/simulate-agent-scenarios-trace-failures-and-watch-production-regressions-with-langwatch/)