An enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
Analytics comparison
Splunk Agent Observability (formerly Galileo) vs LangSmith
Pricing, pros, cons, and ideal use cases — side by side.
LangSmithFreemium
An observability and evaluation platform for LLM and agent applications — tracing, datasets, automated evals, and production monitoring in one place.
At a glance
| Splunk Agent Observability (formerly Galileo) | LangSmith | |
|---|---|---|
| Pricing | EnterpriseEnterprise pricing, quoted per organization. | FreemiumFree developer tier. Paid Plus and Enterprise plans add seats, longer trace retention, and deployment options. |
| Category | Analytics | Analytics |
| Ideal for | Enterprises running agents and LLM apps at scaleRegulated organizations needing runtime safeguardsTeams needing both evaluation and live monitoring | Teams running agents in productionEnterprises needing eval and monitoringEngineering orgs standardizing AI observability |
Pros & cons
Splunk Agent Observability (formerly Galileo)
Pros
- Evaluation, monitoring, and runtime guardrails in one platform
- Real-time detection of unsafe or off-policy outputs
- Metrics that work without ground-truth labels
- Built for enterprise scale
Cons
- Enterprise pricing and procurement
- More than small teams or simple apps need
- Onboarding is a real implementation effort
LangSmith
Pros
- End-to-end tracing for complex agent runs
- Datasets and automated evals in CI
- Production monitoring for quality and cost
- Framework-agnostic
Cons
- Most seamless within the LangChain ecosystem
- Trace volume can drive cost at scale
- Eval design is still real work
Which should you choose?
LangSmith is the lighter-weight option (Freemium), while Splunk Agent Observability (formerly Galileo) sits higher on the pricing ladder (Enterprise). Splunk Agent Observability (formerly Galileo) is built around enterprises running agents and llm apps at scale; LangSmith leans more toward teams running agents in production. Shortlist the one whose strengths line up with your biggest constraint.
Still deciding between Splunk Agent Observability (formerly Galileo) and LangSmith?
Get one AI workflow a week showing Analytics in a real stack — what they cost, and where each one breaks.