LangSmith
LangChain's observability platform for monitoring, debugging, and evaluating LLM applications. Automatically traces every LLM call, captures prompts and outputs, tracks costs and latency, and enables systematic evaluation through dataset-based testing.
About this tool
Overview
LangSmith is the official observability and evaluation platform from LangChain for LLM applications. It provides comprehensive tracing, monitoring, and testing capabilities for production AI systems.
Features
- Automatic Tracing: Captures every LLM call without manual instrumentation
- Prompt Management: Track and version prompts across deployments
- Cost Tracking: Monitor token usage and API costs
- Latency Monitoring: Track response times and performance
- Dataset-Based Testing: Systematic evaluation with test datasets
- Agent-Specific Views: Specialized tracing for autonomous agents
- Execution Graphs: Visual representation of full execution flows
- Debugging Tools: Detailed inspection of failures and issues
Agent Observability
LLM observability tools such as LangSmith, Langfuse, AgentOps, and Weights & Biases provide agent-specific tracing views that display full execution graphs.
Use Cases
- Debugging production LLM applications
- Monitoring RAG system performance
- Evaluating prompt effectiveness
- Cost optimization
- Quality assurance for AI agents
- A/B testing different approaches
Integration
Deeply integrated with LangChain and LangGraph. Also works with other frameworks through LangSmith SDK. Works alongside Prometheus and Grafana for metrics dashboards.
Comparison
LangSmith provides LLM-specific observability that complements general-purpose tools like Prometheus and Grafana.
Pricing
Offers free tier for development. Usage-based pricing for production deployments with various tiers available.
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