Galileo vs LangSmith

Galileo is an AI observability and evaluation engineering platform that helps enterprise teams evaluate, monitor, and protect generative AI applications and agents at scale. Its Agent Reliability platform enables teams to build ground-truth datasets, auto-tune evaluation metrics from live feedback, distill LLM-as-a-Judge evaluators into compact Luna models for production guardrails, and run the full eval engineering lifecycle from offline testing to production monitoring. The platform is trusted by teams at HP, Comcast, and Twilio, and is deployable as SaaS, VPC, or on-premises.

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