LangSmith

Overview
LangSmith is a platform for debugging, testing, and monitoring applications built with large language models. It provides tools to trace model calls, evaluate outputs, and improve the reliability of LLM-powered systems. By integrating LangSmith with Label Studio, teams can bring human-in-the-loop review into their development process, enabling structured annotation of model responses and higher-quality evaluation datasets.

Benefits

• Improved observability: Trace and analyze LLM behavior to understand failures and performance gaps.
• Human-in-the-loop evaluation: Use Label Studio to review and annotate model outputs for quality and correctness.
• Better testing workflows: Create labeled benchmarks to validate assistants and AI pipelines over time.
• Faster iteration: Combine LangSmith insights with annotation feedback to refine prompts, models, and workflows.
• Higher reliability: Build more robust AI applications with continuous monitoring and data-driven improvement.