LangSmith from LangChain traces prompts, scores outputs, and runs eval datasets for regression tests. It is aimed at teams debugging production LLM workflows, with a freemium developer seats with paid plans for teams and retention. Most valuable when you already standardized on LangChain patterns. Editorial teams should verify fit against their compliance and workflow needs before rolling it out broadly.
LangChain
LangSmith
Observability and evaluation for LLM apps
FreemiumScore 72.2#91 overall#5 in Agents & Automation
81 editorial upvotes · editor score 4.3 / 5
Specs
| Pricing | Freemium |
|---|---|
| Starting price | $39/mo |
| Free tier | Yes |
| Platforms | Web, API |
| Launched | Jul 1, 2023 |
| Last verified | Oct 18, 2026 |
| Vendor | LangChain |
Highlights
- Trace debugging
- Eval datasets
Pros
- Speeds up QA
- Good collaboration
Cons
- LangChain-centric
Alternatives
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- Zapier AINatural language automation across 6000 apps86.1
- LangChainFramework for composable LLM applications84.2
- MakeVisual automation with AI modules81.8
- CrewAIOpen-source multi-agent orchestration framework71.9
- Microsoft Copilot StudioBuild custom copilots for Teams and web70.8
Reviews
Reviews open in the next release. Editor scores on this page are editorial estimates, not user ratings.