# LangWatch LangWatch is the LLM engineering platform for teams shipping AI to production: agent simulation testing, evaluations, observability, prompt management, and governance. Open source and OpenTelemetry-native. This file is a curated map for LLMs and AI agents exploring the site. For the full documentation, follow the links to docs.langwatch.ai (use the `.md` suffix on any doc URL for the markdown source). # Platform - [Home](https://langwatch.ai/): What LangWatch is and the problems it solves. - [LLM observability](https://langwatch.ai/llm-observability): OpenTelemetry-native traces, monitors, and analytics. - [LLM evaluation](https://langwatch.ai/llm-evaluation): Offline and online evals, custom evaluators, datasets. - [Agent simulation testing](https://langwatch.ai/agentic-ai-testing): Scenario-based testing for multi-turn agents. - [Customers](https://langwatch.ai/customers): Case studies from AI teams shipping with LangWatch. # Pricing and trust - [Pricing](https://langwatch.ai/pricing): Free tier, team, and enterprise plans. - [Trust center](https://langwatch.ai/trust-center): Security and compliance posture. - [Get a demo](https://langwatch.ai/get-a-demo): Book a walkthrough with the team. # Switch from other platforms - [Switch from Langfuse](https://langwatch.ai/langfuse-alternative): How LangWatch compares to Langfuse. - [Switch from Braintrust](https://langwatch.ai/braintrust-alternative): How LangWatch compares to Braintrust. - [Switch from LangSmith](https://langwatch.ai/langsmith-alternative): How LangWatch compares to LangSmith. - [Switch from Arize](https://langwatch.ai/arize-alternative): How LangWatch compares to Arize. - [Switch from Humanloop](https://langwatch.ai/humanloop-alternative): How LangWatch compares to Humanloop. - [Feature comparison](https://langwatch.ai/comparison): Side-by-side feature comparison across major platforms. # Better Agents Manifesto - [Better Agents Manifesto](https://langwatch.ai/better-agents-manifesto): The four values that guide how we build agents. - [Better Agents CLI](https://github.com/langwatch/better-agents): The companion CLI on GitHub. # Developer resources - [SDKs](https://langwatch.ai/sdks): Python and TypeScript SDKs, plus integrations. - [Evals training for your team](https://langwatch.ai/evals-training): Guided curriculum for evaluating agents. - [Documentation](https://docs.langwatch.ai/introduction): Full LangWatch docs (Mintlify, follow `.md` for markdown source). - [Quickstart](https://docs.langwatch.ai/integration/quick-start): Five-minute setup. - [Python guide](https://docs.langwatch.ai/integration/python/guide): Python SDK guide. - [TypeScript guide](https://docs.langwatch.ai/integration/typescript/guide): TypeScript SDK guide. - [Blog](https://langwatch.ai/blog): Engineering posts and product updates. # Open source - [LangWatch on GitHub](https://github.com/langwatch/langwatch): The platform repo, Apache 2.0. - [Scenario](https://github.com/langwatch/scenario): The agent simulation framework. - [Self-hosting](https://docs.langwatch.ai/self-hosting/overview): Docker and Helm deployment. # Contact - Contact: contact@langwatch.ai - Status: https://status.langwatch.ai/