LangSmith, the official observability and debugging platform from LangChain, offers an Enterprise plan designed specifically for organizations that require enhanced security, deployment control, compliance, and white-glove support. Unlike the Developer or Plus tiers, LangSmith Enterprise provides the robust foundation needed to scale AI agent applications in production environments—especially those with strict governance and infrastructure requirements.
LangSmith Enterprise features a flexible and transparent billing structure tailored to enterprise needs:
Annual Billing by Invoice: All payments are made annually, simplifying procurement and financial planning.
Named User Licensing: Each invited user is billed as a seat. Organizations can manage seat allocation for teams with strict access controls.
Trace-Based Metering: Usage is measured in “traces,” which represent complete invocations of agents, chains, or evaluators.
LangSmith Credits: Enterprise customers can pre-purchase credits for trace usage, with automated alerts and top-up options to prevent overages or service disruption.
One of LangSmith Enterprise’s key differentiators is its deployment flexibility and compliance readiness, critical for regulated industries and data-sensitive applications.
LangSmith can be deployed in your own environment using Kubernetes clusters across major cloud providers like AWS, GCP, or Azure. This ensures:
Full control over infrastructure
Compliance with data residency regulations
No data ever leaves your VPC
Alternatively, LangChain can manage the deployment within your private cloud, offering convenience without compromising data ownership.
SOC 2 Type II, HIPAA, and GDPR certified
Business Associate Agreements (BAA) available for healthcare and regulated sectors
Complete data ownership: LangChain does not train on or access your proprietary data
LangSmith Enterprise equips organizations with powerful admin tools for managing access, usage, and uptime:
SSO Integration: Seamlessly manage users with your identity provider
Role-Based Access Control (RBAC): Assign fine-grained permissions across projects or teams
Custom SLAs: Set service-level agreements for uptime, latency, and support response
API Rate Controls: Define your own thresholds for internal/external API usage
LangSmith Enterprise comes with dedicated human support, helping teams build and scale AI systems with confidence:
Support Feature | Description |
---|---|
Customer Success Engineer | Your assigned expert to assist with architecture, onboarding, and performance tuning |
Dedicated Slack Channel | Real-time communication with LangChain engineers |
Monthly Check-ins | Strategic reviews to optimize usage, resolve bugs, and improve agent design |
Infrastructure Support | Assistance with deployment, upgrades, and integrations (especially for self-hosted users) |
Feature Area | Enterprise Highlights |
---|---|
Billing | Annual invoice, custom seat-based pricing |
Trace Usage | Metered usage, credit-based, alerting tools |
Deployment | Self-hosted on Kubernetes (AWS/GCP/Azure), or managed private cloud |
Security & Compliance | SOC 2 Type II, HIPAA, GDPR, BAA |
Admin Controls | SSO, RBAC, API rate limiting |
Support Services | Dedicated engineer, Slack support, monthly strategy sessions |
Data Ownership | 100% customer-owned, no training on customer data |
LangSmith Enterprise is custom-priced based on your organization’s scale, deployment preferences, trace volume, and support requirements.
To get a quote, contact LangChain Sales:
Email: sales@langchain.dev
LangSmith Enterprise is the ideal solution for teams running mission-critical LLM applications that demand:
Full control over data and infrastructure
Compliance with security frameworks like SOC 2, HIPAA, and GDPR
Customizable trace-based pricing and usage tracking
Human-first customer support and engineering partnership
Whether you're deploying in highly regulated environments or managing large internal AI agent fleets, LangSmith Enterprise delivers the visibility, control, and support your organization needs to scale confidently.