Building Engine v2: How LangChain approaches agent improvement
LangSmith Engine v2 automates agent development, offering validated fixes, red teaming, and cross-trace analysis to improve AI agents before production.
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All digests tagged Agent Engineering
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LangSmith Engine v2 automates agent development, offering validated fixes, red teaming, and cross-trace analysis to improve AI agents before production.
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Jev is a System 1 model that makes fast, structured decisions without generating text. Learn how to integrate it into agent harnesses for safety classification and model routing, significantly improving efficiency and reliability.
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We're going to use LangSmith managed deep agents and Stagehand V4 tools. This allows us to build an agent that can interact with web pages by scrolling, clicking, and navigating across pages.
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Learn Loop Engineering: The art of building reliable, self-improving AI agents. Discover how Core, Verification, Event-Driven, and Self-Improvement loops transform non-deterministic models into production-ready systems.
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LangSmith Sandboxes provide a secure, isolated computer for agents. Using hardware virtualized microVMs and an O proxy, they enable running untrusted model-generated code at scale while maintaining strict security controls.
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