How to Trace and Evaluate LLM Apps with LangSmith
Learn how to use LangSmith for tracing, testing, and monitoring your LLM applications to ship reliable AI features with confidence.
LangSmith is a developer platform for tracing, evaluating, and monitoring LLM applications. Built by the team behind LangChain, LangSmith gives AI engineers deep visibility into how their agents and language models behave.
With LangSmith, you can trace every step of an AI pipeline, run automated evaluations, and spot reliability issues before they reach users. It is an essential tool for shipping production-ready AI applications with confidence.
Product Features
- Run tracing: Inspect every step of an LLM call in detail.
- Evaluation suites: Automatically test prompts and model outputs.
- Monitoring: Track latency, cost, and error rates.
- Prompt management: Version and share prompts across teams.
- Dataset management: Build test sets for regression testing.
- Integrations: Works with LangChain and many frameworks.
Product Highlights
- End-to-end visibility into complex AI workflows.
- Speeds up debugging and quality assurance.
- Helps teams ship reliable AI features faster.
- Strong tooling for evaluation and monitoring.
Use Cases
- Debugging unexpected LLM outputs and agent loops.
- Building regression tests for prompt changes.
- Monitoring cost and performance in production.
- Benchmarking different models and prompts.
- Managing prompts and datasets across a team.
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