LangSmith
Reviews
Star rating
Rank in AI Agent Observability
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 62.8% |
| Mid-Market | 25.6% |
| Enterprise | 11.5% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q3 | 77 | 4.4 |
Satisfaction ratings
What reviewers say
Clear AI Tracing That Makes Debugging Behind the Scenes Easy
“How much easier it makes it to understand what's actually happening behind the scenes when working with AI applications. Instead of guessing why a response didn't turn out as expected, I can trace each step and quickly see where something went wrong.”
LangSmith Makes AI Testing, Tracing, and Debugging Effortless
“I also like that LangSmith helps with testing AI applications. Language models can sometimes give different answers to the same type of question, so normal software testing isn’t always enough. LangSmith makes it easier to create test cases and compare results, which helps me ver”
Saved me from hours of blind debugging on my AI backend
“Honestly the most important thing is being able to look at what my prompts are actually doing behind the scenes. As I was integrating AI capabilities into my web app backend, I was blindly making too many attempts with APIs. LangSmith offers an excellent trace of the whole proces”