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  • LangSmith: Tracing and Evals for Agent Optimization

    LangSmith 🤝 San Francisco You don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow.

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  • DeepAgents v0.5 Released with Async Subagents Support

    we just released deepagents v0.5 with support for async subagents, multi-modal filesystem support, and a sleek new backend interface. read all about it!! blog.langchain.com/deep-agen…

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  • Arcade MCP Tools Integrated Into LangSmith Fleet Platform

    Fleet just got 7,500x more powerful now that it has first class support for connecting to @TryArcade MCP servers 🎉 Create MCP servers in Arcade using any of the thousands of tools they support, and have them load directly into Fleet. It's never been easier to create and use 3rd party tools in Fleet: smith.langchain.com/agents LangChain (@LangChain) .@TryArcade's 7,500+ agent-optimized MCP tools are now available in LangSmith Fleet. Create a gateway and your agents get secure access to Salesforce, GitHub, Zendesk, Asana, and many more. Read more: blog.langchain.com/arcade-de… — https://nitter.net/LangChain/status/2041557866365251588#m

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  • LangChain MongoDB Confluent Happy Hour Google Cloud Next

    Join LangChain, MongoDB, and Confluent for a happy hour during Google Cloud Next. Come grab a drink and connect with other builders, engineers, and teams working on modern AI infrastructure. Space is limited, register now to save your spot. events.mongodb.com/googleclo…

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  • Arcade.dev MCP Tools Now Available in LangSmith Fleet

    .@TryArcade's 7,500+ agent-optimized MCP tools are now available in LangSmith Fleet. Create a gateway and your agents get secure access to Salesforce, GitHub, Zendesk, Asana, and many more. Read more: blog.langchain.com/arcade-de…

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  • LangSmith: Debugging and Optimizing AI Agents in Production

    LangSmith 🤝Fix your agents You'll see our billboards around SF and NYC over the next few months. The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow. If you spot one around, send it our way!

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  • LangChain Collapse Reduces Context Bloat in Long Running Agents

    long running agents (like deepagents) suffer from tool call induced context bloat s/o @johanbonilla for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead docs.langchain.com/oss/pytho…

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  • LangChain announces Agent Infrastructure track at AI Council 2026
    LangChain announces Agent Infrastructure track at AI Council 2026

    Very excited to talk about file systems in agents at the @AICouncilConf this May! Grab tickets now before they sell out: AI Council (@AICouncilConf) Shipping an agent is the easy part. Keeping it alive while you ship 10 more? That's where things fall apart. At AI Council this year we're dedicating an entire track to the people actually solving this. Presenting the "Agent Infrastructure" lineup, curated by @tristanzajonc (Co-Founder & CEO of @continual_ai): → @BraceSproul, Head of Applied AI at @LangChain : “The File System Is All You Need” → @thesephist, Head of AI at @ThriveCapital: “Context Engineering at the Frontier” → @felipehuici, Co-Founder & CEO at @UnikraftCloud: “Running Millions of (Millisecond) AI Sandboxes without Breaking the Piggy Bank” → @glcst, CEO at @tursodatabase: “Agents will need trillions of databases. Let's give it to them!” → @MeryemArik9, CEO at @Doubleword_: “Inference for Async Agents in Production” → @jacopotagliabue, Founder at @Bauplan_labs: “Forgiveness, Not Permission: Running Agents On Production Data” → @TheParminderS , Co-Founder & CEO at Redscope AI: “Building Durable, Long-Running Autonomous Agents” Big thanks to Tristan for pulling these cracked engineers together to share what’s actually working in production. See you at AI Council 2026 in SF, May 12-14! 🎟️ aicouncil.com — https://nitter.net/AICouncilConf/status/2041254177058496866#m

    → View original post on X — @langchain, 2026-04-06 20:58 UTC

  • LangSmith Cost Alerting: Monitor Agent Spending in Production

    a year ago, it was hard enough to build useful agents that most companies didn't have cost issues. that's changed a lot just from the start of this year! use langsmith to track agent costs and alert when anything unexpected happens LangChain (@LangChain) Introducing Cost Alerting in LangSmith 💸 More and more agents are making it to production, and costs are increasing dramatically. Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should. Docs: docs.langchain.com/langsmith… Sign up: smith.langchain.com/ — https://nitter.net/LangChain/status/2041236011439771648#m

    → View original post on X — @langchain, 2026-04-06 19:28 UTC