LangSmith LLM Gateway: runtime governance built into the agent lifecycle
LangSmith LLM Gateway is a runtime governance layer that enforces cost limits and redacts sensitive data before agent requests reach language models, ensuring policy violations are traceable and resolvable. It integrates with the LangSmith Engine, supports real-time cost tracking, and allows policy tuning at multiple levels, offering seamless integration with existing LangSmith workflows. The Gateway enables enforcement of policies on real production agent behavior, providing audit logging and trace continuity without requiring separate tools or context switches.
More from Langchain
Why managed agents are the next big thing in agent building
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.
langchain.com··Mads Kristian Nylund·AI InfrastructureAI-agents
LangSmith BYOC on AWS is generally available
LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI Platforms
What is an AI agent?
Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI-agents