Langfuse vs LangSmith

Langfuse is an open-source LLM observability platform that provides tracing, evaluations, prompt management, and analytics for debugging and improving LLM applications and agents. Key differentiators include model/framework-agnostic SDKs, OpenTelemetry compatibility, self-hosting option, and integrated workflow for observability, experiments, and human annotation. Typical buyers are AI engineering teams at startups to Fortune 50 companies developing production AI products. Notable: Acquired by ClickHouse in January 2026; supports compliance certifications like SOC 2 Type II, ISO 27001, GDPR, HIPAA eligible.

LangSmith is an LLM observability platform that provides tracing, monitoring, and evaluation for AI agents and LLM applications. It offers native tracing for agent frameworks, cost and latency tracking, online LLM-as-judge evals, custom dashboards, and alerts via webhooks or PagerDuty. Framework-agnostic with SDKs for Python, TypeScript, Go, Java, and OpenTelemetry support, it works with OpenAI, Anthropic, LlamaIndex, and custom stacks. Typical buyers are engineering teams building production LLM apps needing visibility into agent behavior, debugging failures, and performance optimization. Enterprise plans include self-hosted and BYOC options for data residency.LangSmith homepage Pricing