LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelin…
---
name: langsmith-observability
description: LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Observability, LangSmith, Tracing, Evaluation, Monitoring, Debugging, Testing, LLM Ops, Production]
dependencies: [langsmith>=0.2.0]
---
# LangSmith - LLM Observability Platform
Development platform for debugging, evaluating, and monitoring language models and AI applications.
## When to use LangSmith
**Use LangSmith when:**
- Debugging LLM application issues (prompts, chains, agents)
- Evaluating model outputs systematically against datasets
- Monitoring production LLM systems
- Building regression testing for AI features
- Analyzing latency, token usage, and costs
- Collaborating on prompt engineering
**Key features:**… load the full skill through Skill Me