LangSmith
A platform from LangChain for debugging, testing, evaluating, and monitoring LLM applications.
In-Depth Explanation
LangSmith is a developer platform by LangChain for the full lifecycle of LLM application development. It provides observability, testing, and evaluation tools specifically designed for AI applications.
LangSmith capabilities:
- Tracing: See every step of LLM chains
- Debugging: Understand failures and issues
- Evaluation: Assess output quality systematically
- Datasets: Manage test cases and examples
- Monitoring: Track production performance
- Playground: Test prompts and chains
Key features:
- Full trace visibility
- Latency and cost tracking
- Human feedback collection
- Automated evaluations
- Prompt versioning
- Team collaboration
Integration:
- Native LangChain integration
- Works with any LLM provider
- Python and JavaScript SDKs
- REST API available
Business Context
LangSmith addresses the critical challenge of understanding and improving LLM application behaviour, essential for production AI systems.
How Clever Ops Uses This
We use LangSmith to ensure quality and reliability of AI applications built for Australian businesses, enabling systematic testing and monitoring.
Example Use Case
"Using LangSmith to trace a RAG application, identify that retrieval quality drops for certain query types, and run evaluations after improving the retriever."