LangSmith Engine makes your self-optimizing loops spin faster and faster
@langchain
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The Unpredictable Nature of AI Agents in Production
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The hardest truth about building agents? You don’t know what they’ll do until they’re in production… pic.twitter.com/PnPrX7nuUz
— LangChain (@LangChain) 21 mai 2026The hardest truth about building agents? You don’t know what they’ll do until they’re in production…
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Databox Evaluates Multi-Turn Analyst Agent Genie Using LangSmith
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@DataboxHQ uses LangSmith to evaluate their multi-turn analyst agent Genie. An inside look: https://
databox.substack.com/p/how-we-evalu
ate-a-multi-turn-agent
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Building Applications with Streaming AI Agents
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Streaming agents should feel like building applications, not parsing logs.
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Auth Proxy: Controlling Agent Behavior Boundaries
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Introducing the sandbox Auth Proxy: A way to control the boundary between agent-generated behavior and the rest of the world. An explainer from @hwchase17
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Streamlined AI Agent Deployment: Init to Live Endpoint
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One config file. One deploy command. Everything else is managed. deepagents init → deepagents deploy → live endpoint. Full breakdown here
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Managed Harness for AI Agents: Deepagents, Model-Agnostic, One-Line Deploy
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A managed harness: Built on the `deepagents` harness Durable execution out of the box Model-agnostic One-line deploy- no Dockerfile, no infra glue
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Managed Deep Agents Private Beta Launched for AI Infrastructure
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Managed Deep Agents is now in Private Beta ICYMI: It’s managed, model-agnostic infra for deep agents you can deploy with a single line of code. A quick thread on what you get out of the box
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LangSmith Sandboxes GA: Agents Get Isolated Runtime Environment
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ICYMI: LangSmith Sandboxes are GA Agents get a real filesystem, shell, and package manager. Isolated from your infra. Works with Deep Agents, Open SWE, or your own code. Auth with the same API key you already have. No new runtime to build or manage.
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Deep Agents integrates with NebiusAI Token Factory for agent workloads
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Deep Agents now integrates with @nebiusai Token Factory. Now, you can run agent workloads on production-grade AI infrastructure with open-source models, dedicated endpoints, real-time search, and full control over cost and data.