- Debugging: Provides full visibility into model inputs and output of every step, helping identify unexpected results, errors, or latency issues. It also makes it easy to rerun examples from the UI.
- Testing: Allows developers to curate a dataset of examples and run any changed prompts/chains over this dataset, providing visibility to inputs and outputs for each data point.
- Evaluating: Integrates with LangChain’s open source collection of evaluation modules, including heuristics and LLMs.
- Monitoring: Enables developers to track the performance of their application, debug issues, and understand user interaction and experience.
- Unified Platform: Provides a single, fully-integrated hub to streamline the management of LLM applications.
Steinhold Daniel Answered question