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LangWatch is an open-source observability and monitoring platform designed to help developers evaluate and improve applications built with large language models. The platform provides tools for tracking model interactions, analyzing prompt behavior, and identifying issues such as hallucinations, latency problems, or unexpected responses. By collecting telemetry data from AI applications, LangWatch allows developers to understand how their systems perform in real-world usage scenarios. The platform includes dashboards that visualize model behavior, enabling teams to monitor trends in response quality and reliability over time. It also provides evaluation tools that allow developers to test prompts and compare outputs across different models or configurations. Through integration with popular AI development frameworks, LangWatch can be embedded directly into AI pipelines to provide continuous monitoring and evaluation.
Features
- Observability platform for monitoring large language model applications
- Telemetry collection that tracks prompts, responses, and system metrics
- Evaluation tools for testing prompts and comparing model outputs
- Dashboards that visualize model performance and response quality
- Detection of issues such as hallucinations and latency spikes
- Integration with AI development frameworks and application pipelines
Project Samples
