Individual skill
langsmith-observability
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.
backend/cli/skills/llm-tools/langsmith/SKILL.md
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
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- science Repository topic
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- observability Declared skill tag
- langsmith Declared skill tag
- tracing Declared skill tag
- evaluation Declared skill tag
- monitoring Declared skill tag
- debugging Declared skill tag
- testing Declared skill tag
- llm-ops Declared skill tag
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- testing Derived category
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# 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