langsmith-observability

What problem does it solve?

This Skill provides a comprehensive platform for observing and managing Large Language Model (LLM) applications, enabling developers to debug, evaluate, and monitor their AI systems effectively.

Core Features & Use Cases

• Tracing: Capture detailed logs of LLM calls, chains, and agents for debugging.
• Evaluation: Systematically test and score model outputs against datasets using built-in or custom metrics.
• Monitoring: Track performance, errors, and costs of LLM applications in production.
• Use Case: When an LLM-powered chatbot starts giving incorrect answers, use LangSmith to trace the conversation flow, identify the problematic prompt or tool call, and then create an evaluation dataset to test potential fixes.

Quick Start

Install the LangSmith SDK and set your API key and tracing environment variables.