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LANGWATCH
Evaluate, test, and observe AI agents and LLM apps
BSL-1.1
ABOUT
Teams often need separate tools for prompt evaluation, agent simulations, production tracing, and cost monitoring, which makes it hard to catch regressions before release or debug failures after deployment. LangWatch combines evals, tracing, datasets, and runtime observability so teams can test and monitor AI systems in one workflow.
INSTALL
pip install langwatchINTEGRATION GUIDE
1. Trace and debug LLM app or agent behavior in production environments
2. Run agent simulations before release to catch regressions earlier
3. Evaluate prompts and models on datasets inside CI or review workflows
4. Track token usage, performance, and costs over time across deployments
TAGS
pythonmonitoringobservabilitytracingllm-evaluationagent-testingprompt-managementself-hosted