LangSmith is a unified platform designed for every stage of the LLM-powered application lifecycle. It enables developers to debug, collaborate, test, and monitor their applications, regardless of whether they are built with LangChain or other frameworks.
Key Features:
- Visibility: Provides full visibility into the entire sequence of calls within LLM applications, allowing for precise identification of errors and performance bottlenecks.
- Collaboration: Facilitates collaboration between developers and subject matter experts through features like shared chain traces, prompt versioning, and annotation queues.
- Testing & Evaluation: Supports quality measurement through large test suites, human feedback integration, and AI-assisted evaluation with customizable evaluators.
- Monitoring: Enables real-time monitoring of cost, latency, and quality in production applications, with tools for anomaly detection and error inspection.
- Datasets: Allows easy collection of examples and construction of datasets from production data or existing sources for evaluations, few-shot prompting, and fine-tuning.
Use Cases:
- Debugging LLM application behavior.
- Experimenting with different prompts and models.
- Collaborating with teammates to refine application performance.
- Measuring and improving application quality over time.
- Monitoring production applications for issues and anomalies.
