Tools / LangSmith
LangSmith
AI Observability · Evaluated by Moneda AI
Teams building on LangChain who need tracing and evals
CategoryAI Observability
FromDeveloper: $0/seat, 1 seat, 5,000 base traces/month, then 0.005 LSU per extra base trace (1 LSU = $1)checked 2026-10-10
Best forTeams building on LangChain who need tracing and evals
Wins1 of 3
What it’s for
- LLM tracing and evaluation
- Dataset and experiment workflows
- LangChain/LangGraph ecosystem fit
Pricing
- Developer: $0/seat, 1 seat, 5,000 base traces/month, then 0.005 LSU per extra base trace (1 LSU = $1)checked 2026-10-10 · langchain.com
- Plus: $39/seat/month, 10,000 base traces included, then 0.005 LSU per extra base tracechecked 2026-10-10 · langchain.com
- Extended retention upgrade: 0.0025 LSU per trace. Base traces kept 14 days, extended traces 180 dayschecked 2026-10-10 · langchain.com
- Enterprise: custom. Cloud, hybrid, or self-hostedchecked 2026-10-10 · langchain.com
Job fit, data protection, and security
Sourced entity notes for buyers who need more than a feature list. Claims link to vendor docs — re-check before regulated or privileged use.
Deploymentcloud · self-host · hybrid
Data protection
Security
Certifications / controlsGDPR compliant · ISO (via GCP Assured Workloads) · HIPAA (via GCP Assured Workloads)checked 29 Aug 2026
Would not choose if
- Requires a low-code or no-code solution for LLM application development.
- Lacks a solid understanding of LLM tools and DevOps processes.
- Needs pre-built tests, drift detection, or runtime guardrails natively within the platform.
Where LangSmith appears — and how it did
LangSmith is evaluated on Moneda for buyer-job fit — not as a universal star ranking across unrelated categories.