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LangSmith

LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

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Founded

2022

Location

San Francisco, CA

Employees

150

Funding

Backed by LangChain

LangSmith (by LangChain)

**Production platform for AI agents** that unifies observability, evaluation, and deployment—so teams can trace, test, and ship reliable agentic applications faster. LangSmith is framework‑agnostic and supports OpenTelemetry, enabling cross‑service, multi‑stack tracing beyond LangChain/LangGraph.

  • Visit: [LangSmith](https://smith.langchain.com)
  • Docs: [LangSmith Documentation](https://docs.langchain.com/langsmith)
  • Pricing: [LangChain Pricing](https://www.langchain.com/pricing)
  • What LangSmith Does

  • **Deep observability:** Step‑level traces of prompts, tool calls, and reasoning; cost/latency dashboards; custom alerts; OpenTelemetry support.
  • **Rigorous evaluation:** Online/offline and multi‑turn agent evals; human feedback queues; prompt/version testing.
  • **Operational tooling:** Long‑running agent deployments with streaming, scheduling, RBAC, and horizontal scaling.
  • **Flexible deployment:** Host in US or EU regions, hybrid, or fully self‑hosted for stricter data controls.
  • Why Teams Choose LangSmith

  • **Debug faster:** Rich run traces, visual Studio for pinpointing failures, and versioned prompt experiments accelerate iteration.
  • **Prove quality:** Built‑in eval workflows and human-in-the-loop feedback to measure and improve agent reliability.
  • **Operate at scale:** Production‑grade deployment, monitoring, and access controls for complex, long‑running agents.
  • **Stay compliant:** Data residency options and self‑hosting paths for regulated environments.
  • Who It’s For

  • **AI platform and infra teams** standardizing tracing, evals, and monitoring across services.
  • **Product teams** shipping AI agent features that need reliable, measurable behavior.
  • **Data/ML engineers** instrumenting agents with unified telemetry and performance insights.
  • Common Use Cases

  • Trace tool usage and chain-of-thought steps (where applicable), with **cost/latency/SLA monitoring**.
  • Run **multi‑turn evaluations** and manage **prompt versions** across experiments.
  • Collect **user feedback** and cluster conversations with Insights to prioritize improvements.
  • Unify traces across microservices via **OpenTelemetry** for end‑to‑end visibility.
  • Integrations

  • **SDKs:** Python and JS/TS.
  • **APIs:** Works with the **Assistants API** and popular model providers, vector databases, and data tools.
  • **Telemetry:** Native **OpenTelemetry (OTel)** for cross‑service trace correlation.
  • Pricing

  • **Developer:** Free.
  • **Plus:** $39/seat/month (includes one developer deployment; base/extended trace retention tiers).
  • **Enterprise:** Custom.
  • Try it free—no credit card. See details: [Pricing](https://www.langchain.com/pricing)
  • Data Residency & Deployment Options

  • **US or EU hosting**, hybrid deployment, or **fully self‑hosted** for stricter compliance needs.
  • Buyer Notes (From User Sentiment)

  • **Strengths:** Best‑in‑class debugging and evaluation; enables fast iteration cycles.
  • **Considerations:** UI changes can be frequent; confirm EU data residency requirements if applicable.
  • Get Started

  • Create an account: [LangSmith](https://smith.langchain.com)
  • Explore the platform: [LangSmith Docs](https://docs.langchain.com/langsmith)
  • Meta description: LangSmith by LangChain is a production platform for AI agents that combines observability, multi‑turn evaluation, and deployment. Framework‑agnostic with OpenTelemetry support, it helps teams trace, test, and ship reliable agentic apps at scale with flexible hosting and enterprise controls.

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