LangSmith Agent Engineering Platform (SaaS)
LangChain · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
LangSmith Observability and Evals is a unified observability & evals platform where teams can debug, test, and monitor AI app performance - whether building with LangChain or not. Find failures fast with agent observability. Quickly debug and understand non-deterministic LLM app behavior with tracing. See what your agent is doing step by step, then fix issues to improve latency and response quality. Evaluate your agent's performance. Evaluate your app by saving production traces to datasets, then score performance with LLM-as-Judge evaluators. Gather human feedback from subject-matter experts to assess response relevance, correctness, harmfulness, and other criteria. Experiment with models and prompts in the Playground, and compare outputs across different prompt versions. Any teammate can use the Prompt Canvas UI to directly recommend and improve prompts. Track business-critical metrics like costs, latency, and response quality with live dashboards, then get alerted when problems arise and drill into root cause. LangSmith Deployments is a purpose-built infrastructure and management layer for deploying and scaling long-running, stateful agents -- offering: - 1-click deployment to go live in minutes, - 30 API endpoints for designing custom user experiences that fit any interaction pattern - Horizontal scaling to handle bursty, long-running traffic - A persistence layer to support memory, conversational history, and async collaboration with human-in-the-loop or multi-agent workflows - Native LangSmith Studio, the agent IDE, for easy debugging, visibility, and iteration
Highlights
Highlighted by the publisher on AWS Marketplace.
LangSmith is the framework agnostic agent engineering platform for observing, evaluating, and deploying agents. It's hard to build agents because you can't plan for every input, and LLMs decide every output on the fly at runtime.
LangSmith Fleet is a no-code platform for creating and managing AI agents. It allows you to create agents from templates, connect your accounts, and let the agent handle routine work while you stay in control.
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
https://www.langchain.com/terms-of-service
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.