LangSmith

LangSmith is a backend observability platform built for teams building AI agents and large language model applications. It captures end-to-end traces of LLM requests and agentic workflows, enabling developers to understand system behavior that would otherwise remain invisible.

Highlights

• Live tracing dashboard shows request flows, token usage, latency, and error rates across production deployments
• Automated clustering detects common usage patterns, recurring failure modes, and unexpected edge cases
• Custom evaluations using LLM-as-judge or code-based scoring to assess response quality at scale
• SDKs for Python, TypeScript, Go, and Java; works with any LLM provider and framework via OpenTelemetry
• Deployment flexibility including managed cloud, bring-your-own-cloud (BYOC), and fully self-hosted options

LangSmith removes the guesswork from production LLM systems. With transparent request tracing and actionable insights, teams can optimize latency, reduce costs, and build reliable AI products. Free tier available for development and small deployments; enterprise support included at higher tiers.