
Align Evals is a new feature in LangSmith that enables teams to refine their evaluators by comparing LLM-generated scores with human-graded data, tracking alignment over time, and reducing evaluation noise. It allows users to test prompts, identify unaligned cases, and iteratively improve evaluator performance. The feature is available for LangSmith Cloud users and will be released to Self-Hosted later this week, offering a playground-like interface for evaluating prompt effectiveness and ensuring alignment with human expectations.
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.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

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.
