# 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.

- Skill: `agentskillexchange/simulate-agent-scenarios-trace-failures-and-watch-production` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/simulate-agent-scenarios-trace-failures-and-watch-production`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/simulate-agent-scenarios-trace-failures-and-watch-production/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/simulate-agent-scenarios-trace-failures-and-watch-production

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# 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

Use the upstream install or setup path that matches your environment:
- npx @langwatch/server
- Prefer Docker? You can still use docker compose:
- git clone https://github.com/langwatch/langwatch.git
- docker compose up -d --wait --build

Requirements and caveats from upstream:
- <a href="https://pypi.python.org/pypi/langwatch" target="_blank"><img src="https://img.shields.io/pypi/dm/langwatch?logo=python&logoColor=white&label=pypi%20langwatch&color=blue" alt="langwatch Python package on PyPi"...
- The fastest way to run LangWatch locally — only Node.js required:
- [Docker Compose](https://docs.langwatch.ai/self-hosting/open-source#docker-compose) - Run LangWatch on your own machine.

Basic usage or getting-started notes:
- Run realistic scenarios against your **full stack** (tools, state, user simulator, judge) and pinpoint where your agents break, and why? down to each decision.
- ### Cloud ☁️
- The easiest way to get started with LangWatch.

- Source: https://github.com/langwatch/langwatch
- Extracted from upstream docs: https://raw.githubusercontent.com/langwatch/langwatch/HEAD/README.md

## Documentation

- https://docs.langwatch.ai/

## Source

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