What is LangWatch?
LangWatch is a platform for testing and evaluating large language model (LLM) agents, providing real‑time simulations and prompt‑management tools for developers and product teams.
It captures production traces, turns them into reusable evaluation cases, and runs batch or synthetic tests across multiple models and languages.
Engineers can version, compare, and deploy prompts and model changes with full audit trails, while product managers can review results through a UI without writing code.
The system integrates natively with OpenTelemetry, LangChain, LangGraph, and other frameworks, allowing seamless insertion into existing testing pipelines.
LangWatch user reviews
Based on 1 review, 100.0% of users recommend LangWatch, rated highly for quality results.
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LangWatch's key features
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Simulate multi-step agent behavior
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Self-hosted trace evaluations
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Real-time LLM observability
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Prompt and model versioning
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Automatic test suite execution
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Dataset conversion from traces
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Seamless OpenTelemetry integration
LangWatch use cases
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Validate a customer‑support LLM agent in real‑time by simulating user interactions, capturing audit trails, and integrating OpenTelemetry traces, all without code in the no‑code evaluation UI, before rolling out to the live platform.
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Conduct batch performance tests across multiple LLMs (e.g., GPT‑4, Claude) for a compliance‑heavy financial advisory bot, automatically recording prompt outcomes and audit trails to satisfy regulatory reporting.
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Integrate LangWatch into a CI/CD pipeline for a multi‑language virtual assistant built with LangChain, enabling instant simulation, prompt version control, and role‑based access to review changes before each deployment.
Who is it for?
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Data analysts
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Software developers
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System administrators
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Technical writers
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Monitoring engineers
