LangSmith

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.