langsmith-observability
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:
- Tracing: Capture inputs, outputs, latency for all LLM calls
- Evaluation: Systematic testing with built-in and custom evaluators
- Datasets: Create test sets from production traces or manually
- Monitoring: Track metrics, errors, and costs in production
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