The open-source platform for AI in production

Trace, test, route and govern every LLM call in your company, from your own agents to the coding assistants your engineers use.

Quick Start

Already set up? The LangWatch Skills also help you monitor and improve an agent that is running.

Get Started Using a Code Assistant

Tracing, evaluations, agent testing, prompt management and more

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See PM & Domain Expert Skills to collaborate with your team

What is LangWatch?

LangWatch is the open-source LLMOps platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively integrated to accelerate the development workflow.

Building AI applications is hard. Developers spend weeks debugging issues, optimizing prompts, and ensuring quality. Without tracing, you do not know why your AI behaves the way it does, where it fails, or how to improve it.

LangWatch provides the missing operations platform for AI applications. Every LLM call, tool usage, and user interaction is automatically tracked with detailed traces, spans, and metadata. See the full conversation flow, identify bottlenecks, and understand exactly how your AI applications behave in production.

What LangWatch Does

LangWatch has four areas, and you can use each one on its own.

LLM Ops

Tracing, agent testing, evaluations and prompt management for the LLM apps you build.

Coding Agents

What Claude Code, Codex and other coding agents do and cost, per session and per team.

LangWatch AI Gateway

One OpenAI and Anthropic compatible endpoint, with virtual keys, budgets and a trace per call.

AI Governance

An inventory of the AI tools in your company, who uses them, and alerts on unusual activity.

Where to Start?

Start with the area that matches what you are working on today. You can add the others later from the same account.

Trace your LLM application

Track your coding agents

Route LLM calls through the gateway

Govern AI use across the company

Open Source

LangWatch is open core. You can self-host the Apache 2.0 core, and LangWatch Cloud runs the same codebase, with no separate community build.

Enterprise features, such as multi-source governance ingestion and anomaly detection, need a paid plan and have their own license under platform/app/ee/. See Open-core licensing for the full split.

langwatch/langwatch on GitHub

The full platform, the SDKs and the docs, in one repository.

Self-host LangWatch

Run LangWatch on your own infrastructure with Docker or Helm.

LangWatch Cloud has a free plan: sign up to create a project.

Found broken or outdated docs? Use Report outdated or broken docs next to Edit this page below. Agents: include the page URL, the failing step and a proposed fix in a GitHub issue. For CLI diagnostics, ask your user before running npx langwatch report --user-approved. See the reporting guide.