langsmith-observability

What problem does it solve?

This Skill addresses the challenge of understanding and improving the performance of Large Language Model (LLM) applications by providing tools for tracing, evaluation, and monitoring.

Core Features & Use Cases

• Tracing: Capture detailed logs of LLM calls, prompts, and responses for debugging.
• Evaluation: Systematically test model outputs against datasets using built-in or custom metrics.
• Monitoring: Track key performance indicators, errors, and costs in production environments.
• Use Case: When debugging why an AI chatbot is giving inconsistent answers, use LangSmith to trace the conversation flow, identify problematic prompts, and evaluate alternative responses against a test dataset.

Quick Start

Install the LangSmith library and set your API key to begin tracing your LLM applications.