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OpenLIT vs LangSmith

OpenLIT vs LangSmith

LangSmith is LangChain's proprietary observability platform. OpenLIT is framework-agnostic, fully open-source (Apache 2.0), and works with any LLM provider or orchestration framework.

FeatureOpenLITLangSmith
Core Architecture
OpenTelemetry-native
Open SourceApache 2.0
Self-hostableEnterprise plan only
Framework-agnosticBest with LangChain; supports others via SDK
Free self-hosted tier
LLM Monitoring
Token usage tracking
Cost per request
Latency / p95 metrics
Prompt & response logging
60+ integrations (LLMs, frameworks, VectorDBs, GPUs)Primarily via LangChain wrappers
Infrastructure Monitoring
GPU monitoring (NVIDIA + AMD)
Vector DB tracing
Multi-environment tagging
Organisation management
Developer Tools
Prompt Hub (versioning)
Evaluations
Secrets Vault
Fleet Hub (multi-deployment)
Custom model pricing
Prompt playground
Dataset management for evals
Pricing
Free tierUnlimited traces (self-hosted)5,000 traces/month
No credit card to start
Self-hosted free tier
Data ownershipFull (self-hosted)LangChain cloud

Choose OpenLIT when…

  • You are not using LangChain and want framework-agnostic, auto-instrumented observability
  • You need to self-host for data privacy, compliance, or cost control without an Enterprise plan
  • You need GPU monitoring for locally-hosted models on NVIDIA or AMD hardware
  • You want unlimited traces on self-hosted infrastructure at zero licensing cost
  • You require OpenTelemetry compatibility to route data to Grafana, Datadog, or other backends

Choose LangSmith when…

  • Your stack is deeply integrated with LangChain and you want first-class toolchain support
  • You need LangSmith's prompt playground and dataset management for systematic eval workflows
  • You are comfortable with cloud-only and want a managed service without any ops overhead

Get started

Ready to use the OpenLIT UI in production?

Self-host or connect your stack in minutes. Same harness UI for traces, dashboards, prompts, and evaluations.