LangWatch

AI Agent Testing and LLM Evaluation Platform

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use LangWatch to test AI agents with synthetic conversations, evaluate LLM responses with custom scoring, and monitor production AI systems. It provides agent simulations, batch testing, prompt management, and real-time observability. The platform helps you detect issues before deployment, track model performance, and debug failures across different environments.

What LangWatch does

Set up automated testing pipelines for AI agentsCreate custom evaluation metrics for model outputsAnalyze conversation traces to identify failure patternsBuild datasets from production data for testingDeploy prompt changes with rollback capabilitiesMonitor AI system performance in real-timeGenerate synthetic test scenarios for edge casesExport evaluation results for reporting and analysisRun thousands of synthetic conversations to test agentsCreate custom evaluations for specific product requirementsMonitor all LLM interactions across development and productionVersion control prompts and models with audit trailsAutomatically execute test suites for pre-release and productionConvert production traces into reusable test datasetsCollaborate on data review and labeling workflowsIntegrate with any LLM framework using OpenTelemetry

Frequently asked

Python

DSPy

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