langwatch/langwatch
The platform for LLM evaluations and AI agent testing
What it solves
LangWatch addresses the difficulty of testing, simulating, and monitoring AI agents. It helps teams move from development to production by providing visibility into agent behavior, preventing regression, and managing costs without requiring custom-built internal tooling.
How it works
The platform creates a continuous loop of tracing, dataset creation, evaluation, and prompt optimization. It uses OpenTelemetry/OTLP-native standards to integrate with various frameworks and model providers. It also includes an AI Gateway that acts as a proxy for governance, cost control, and automatic provider fallback.
Who it’s for
It is designed for development and AI teams building complex agentic workflows who need to ensure reliability, performance, and cost-efficiency through systematic testing and production observability.
Highlights
- End-to-end agent simulations to pinpoint exactly where and why agents break.
- AI Gateway with virtual keys, hierarchical budgets, and inline guardrails.
- Open standards using OpenTelemetry for framework and provider agnosticism.
- Integrated workflow connecting tracing, datasets, and evaluations in one loop.