LangWatch provides observability, evaluation datasets, and agent testing workflows for LLM products, helping teams monitor output quality, detect regressions, and iterate prompts and pipelines.
License
Apache-2.0
Stars
3,288
Homepage
https://langwatch.ai/Features
- LLM output evaluation workflows
- Agent behavior testing and replay
- Observability and trace logging
- Evaluation dataset management
- Regression and anomaly detection
- Team-oriented quality iteration
Use Cases
- Test LangWatch when the need is agent orchestration and the repo summary matches: Evaluation and testing platform for LLM apps and AI agents
- Compare LangWatch's implementation approach before committing to an internal build.
- Use LangWatch to test agent coordination patterns with a concrete open-source codebase.
- Use LangWatch to compare evaluation or monitoring approaches before production rollout.
- Use LangWatch to study developer-tooling implementation details before building internal workflows.
FAQ
LangWatch provides observability, evaluation datasets, and agent testing workflows for LLM products, helping teams monitor output quality, detect regressions, and iterate prompts and pipelines. Repository: https://github.com/langwatch/langwatch.
Common real-world fits include: Test LangWatch when the need is agent orchestration and the repo summary matches: Evaluation and testing platform for LLM apps and AI agents, Compare LangWatch's implementation approach before committing to an internal build., Use LangWatch to test agent coordination patterns with a concrete open-source codebase..
