4.8/5
G2 rating
reliability caveats noted
Report
Take agents from prototype to production. LangSmith gives you the tools to build, debug, evaluate, and ship reliable agents.
Depends
DependsBuy if your team runs real LLM agents in production and needs tracing, evals, and failure analysis at scale.
Powerful agent observability with real costs and 2026 security baggage. Buy for production agent teams; overkill for side projects.
4.8/5
G2 rating
reliability caveats noted
$39/seat/mo
Starting paid price
Plus plan; usage fees extra
Yes
Free tier
5,000 traces/month
$1.25B valuation
Funding
$125M Series B, Oct 2025
Per-seat plus usage fees draw user complaints
Tracing, evals, prompt management, failure clustering in one platform
Two critical 2026 CVEs disclosed
$0
$39/seat/mo
Not disclosed
Two critical 2026 vulnerabilities disclosed: an auth bypass (CVE-2026-25750) and an SDK deserialization flaw (CVE-2026-40190).
Users praise detailed tracing and debugging but grumble about new pricing, reliability, and ecosystem lock-in.
“I use langsmith for tracing and prompt management.”
Compare LangSmith with each alternative.
Open-source alternative; self-host to dodge seat fees
Open-source LLM observability from Arize
LangSmith vs Arize PhoenixEvals-focused alternative per its own comparison
LangSmith vs BraintrustOpen-source option if you already run ML tooling
LangSmith vs MLflowBased on 20+ public sources including G2, Reddit, NVD/CVE records, LangChain's own pages, and TechCrunch.
Anonymous. You can change your vote.
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