Introducing the Nebius Agents Blueprint: open architecture for production-ready AI agents

In 2026, the focus in AI has shifted from whether agents can function to how they can be run reliably and efficiently in production. The Nebius Agents Blueprint addresses this challenge by providing an open reference architecture for building, operating, and improving AI agents. This blueprint emphasizes that system improvements in areas like retrieval quality, orchestration strategy, grounding, and evaluation are often more impactful than model upgrades. The blueprint comprises six components, including the Nebius Token Factory for inference, LangChain Deep Agents for orchestration, and LangSmith for observability, each independently deployable or integrable into existing systems. A case study demonstrated the blueprint's efficacy by building a regulatory compliance audit agent, showing significant cost reductions and precision improvements by refining system components rather than merely upgrading models. The Nebius Agents Blueprint aims to make AI systems more measurable, economical, and reliable, supporting the industry's goal of creating sustainable, production-ready AI infrastructure.

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