Nebius and LangChain partner to power production-grade AI agents on open models

Nebius and LangChain have collaborated to integrate Nebius Token Factory with LangChain’s Deep Agents, enhancing the infrastructure for autonomous agent workflows. This partnership allows teams using LangChain to operate agent workloads on robust AI infrastructure featuring open-source models, dedicated endpoints, and real-time search, while maintaining control over cost and data. The integration supports over 30 open-source models and offers autoscaling and high reliability, making it easier to run production-grade agents that require complex interactions involving planning, sub-agent calls, and tool usage. With Deep Agents serving as LangChain's orchestration framework and LangSmith providing tracing and evaluation, Nebius’s Token Factory acts as the inference backend, ensuring efficient handling of language model calls. Additionally, the integration facilitates cost and quality optimization by enabling model routing across different agent roles and supports both stored and real-time information retrieval through Tavily. This setup allows teams to streamline their agentic workflows without altering existing orchestration logic, providing a seamless transition and full observability across the agent stack.

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