AI/LLM Observability and Evaluation Platform
3.2k 2026-04-18
langwatch/langwatch
A comprehensive platform for end-to-end testing, simulation, evaluation, and monitoring of LLM-powered agents.
Core Features
End-to-end agent simulations with detailed decision breakdowns.
Integrated loop for tracing, dataset creation, evaluation, and prompt optimization.
Open standards (OpenTelemetry/OTLP-native) for framework and LLM provider agnosticism.
Collaboration tools for reviewing runs, annotating failures, and Git-based prompt management.
Quick Start
docker compose up -d --wait --buildDetailed Introduction
LangWatch addresses the complexities of developing and deploying reliable LLM-powered agents by offering a unified platform for their entire lifecycle. It enables teams to systematically test, simulate, evaluate, and monitor agents from pre-release to production, eliminating the need for fragmented custom tooling. By integrating tracing, evaluation, and prompt optimization, and supporting open standards like OpenTelemetry, LangWatch empowers developers to improve agent reliability, performance, and cost efficiency while maintaining full control over their AI systems.