에이전트 옵저버빌리티(Agent Observability), 즉 에이전트옵스(AgentOps)는 기업 환경에서 AI 에이전트와 대규모 언어 모델(LLM)의 동작을 모니터링하고, 성능을 평가하며, 필요한 경우 사람이 개입해야 ...

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, underlying risks, and future potential.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Johannes Schickling explores how he moved ...

When it first landed on the scene in 2002, Rag & Bone helped crystallize the undone, laidback uniform of downtown New York: slim jeans and slouchy tee topped with a handsome piece of classic outerwear ...

Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...

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Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, and artifact-heavy. LangChain’s Deep Agents is designed for that gap. The ...

As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison ...

The rapid adoption of AI applications, including agents, orchestrators, and autonomous workflows, represents a significant shift in how software systems are built and operated. Unlike traditional ...

A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt ...

Unternehmen möchten häufig generative KI mit ihren eigenen Daten kombinieren, um Inhalte zusammenzufassen, Informationen zu synthetisieren oder Fragen zu beantworten. KI-Chatbots haben nicht ...