Built for agents, not just models
The Act's requirements were written for AI systems that reason, retrieve context, call tools, and make multi-step decisions. LangSmith traces the full agent execution graph — not just individual model calls.
The EU AI Act compliance deadline is August 2, 2026.
If you're building or deploying high-risk AI in financial services, healthcare, HR, or critical infrastructure, you need more than policy work — you need operational tooling. LangSmith provides the tracing, evaluation, and human oversight your systems need, deployable in your EU cloud region today.
Non-compliance carries penalties up to €15M or 3% of total worldwide annual turnover.
Regulators want a record of the actions your AI system takes. LangSmith captures every LLM call, tool invocation, and reasoning step — inputs, outputs, timestamps, and agent context — giving you the audit trail Articles 12 and 13 require.
The Act requires ongoing measurement on production traffic. LangSmith's online evaluators continuously score traces for bias, toxicity, hallucination, PII leakage, and adversarial inputs — with alerts when a metric crosses your threshold.
Article 14 requires that humans can intervene, override, and interrupt AI systems. LangGraph's interrupt primitive makes human-in-the-loop a first-class part of the agent graph. LangSmith's annotation queues and webhooks make every intervention auditable.
The EU AI Act is the first comprehensive AI regulation. If you're building high-risk AI systems in financial services, healthcare, HR, manufacturing, or critical infrastructure, the clock is running. Many teams have started the policy work — but you also need the operational infrastructure to back it up.
The EU AI Act's technical requirements map directly to LangSmith capabilities — from risk management to post-market monitoring
Articles 9, 12, and 13 require a living risk management system, automatic event logging over the system's lifetime, and traceable, interpretable decisions. LangSmith's end-to-end tracing captures every LLM call, tool invocation, and reasoning step with structured metadata: inputs, outputs, timestamps, and agent context. LangSmith Studio visualizes the full execution graph — including state transitions and tool calls — so you can inspect each decision step by step. The Insights Agent processes trace data to automatically surface failure modes and usage trends. For EU data residency, LangSmith EU keeps all trace data in-jurisdiction. With self-hosted and BYOC options, the entire stack runs in your cloud region.
Talk to a compliance expert
Sovereign AI Infrastructure
For EU data residency requirements, deployment matters. LangSmith EU SaaS, BYOC, and full self-hosted options are designed for agent workloads in production. Your data never leaves your perimeter.
All trace data stays in the EU. GDPR, SOC 2 Type II, and HIPAA compliant. Available on all plans at no extra cost. The fastest path to in-jurisdiction compliance for most teams.
Trust centerControl plane managed by LangChain, data plane in your cloud (AWS, Azure, GCP). Compliance data stays in your cloud region. Ideal for enterprises that need data residency without the full operational burden of self-hosting.
Entire stack in your Kubernetes cluster. The complete stack runs in your own cloud region — your data never leaves your perimeter. Terraform modules for AWS, Azure, and GCP.
Self-hosted docsThe Act's requirements were written for AI systems that reason, retrieve context, call tools, and make multi-step decisions. LangSmith traces the full agent execution graph — not just individual model calls.
LangSmith EU keeps all trace data in-jurisdiction. With BYOC, data stays in your cloud region. With full self-hosted, the entire stack runs in your Kubernetes cluster. The right choice depends on how much operational control you need.
Full tracing, continuous evaluation, and human-in-the-loop oversight are the same practices teams already follow to run agents well in production. Compliance is a byproduct of doing the work right.
"LangChain has been a great partner in helping us realize our vision for an AI-powered assistant, scaling support and delivering superior customer experiences across the globe."
"We've been using LangChain's components for over a year now. It's been a critical enabler for our transition from open-source experimentation to production-grade AI systems."
Antonino Artale, Senior Manager of Cloud Solutions, Orchestration and Intelligence, Vodafone
Read case studyAugust 2 is close. We'll walk through your high-risk AI systems, map them against the Act's technical requirements, and help you understand which deployment option fits your data residency needs.